davanstrien/summary-test · Datasets at Hugging Face

datasetId stringlengths 2 117	card stringlengths 19 1.01M
ChayanM/mimic-llama2-150k	--- dataset_info: features: - name: 'FINDINGS:' dtype: string splits: - name: train num_bytes: 59974646 num_examples: 149756 download_size: 20364864 dataset_size: 59974646 configs: - config_name: default data_files: - split: train path: data/train-* ---
heangborin/roofGoogleSatelliteKh	--- license: cc-by-sa-4.0 ---
mespinosami/map2sat10-samples	--- dataset_info: features: - name: input_image dtype: image - name: edit_prompt dtype: string - name: edited_image dtype: image splits: - name: train num_bytes: 102633.0 num_examples: 10 download_size: 104891 dataset_size: 102633.0 --- # Dataset Card for "map2sat10-samples" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
ibm/tab_fact	--- license: cc-by-4.0 task_categories: - text-classification --- - Homepage: [TabFact](https://tabfact.github.io/index.html) - Repository: [GitHub](https://github.com/wenhuchen/Table-Fact-Checking) - Paper: [TabFact: A Large-scale Dataset for Table-based Fact Verification](https://arxiv.org/abs/1909.02164) ### Dataset Summary tab_fact is a large-scale dataset for the task of fact-checking on tables. Original dataset is available @ https://huggingface.co/datasets/tab_fact and this is a slightly modified version of the dataset wherein the tabular data is processed into a specific format for ease of use. ### Citation Information ``` @inproceedings{2019TabFactA, title={TabFact : A Large-scale Dataset for Table-based Fact Verification}, author={Wenhu Chen, Hongmin Wang, Jianshu Chen, Yunkai Zhang, Hong Wang, Shiyang Li, Xiyou Zhou and William Yang Wang}, booktitle = {International Conference on Learning Representations (ICLR)}, address = {Addis Ababa, Ethiopia}, month = {April}, year = {2020} } ```
banned-historical-archives/banned-historical-archives	--- size_categories: - n>1T --- # 和谐历史档案馆数据集 - Banned Historical Archives Datasets 本仓库存放已录入 banned-historical-archives.github.io 的和未录入的原始文件，其中archves为已录入的文件，不定期从github同步；todo目录存放未录入的文件；人民日报和文汇报已精选重要的文稿录入网站，完整的原始文件存放在： https://huggingface.co/datasets/banned-historical-archives/rmrb https://huggingface.co/datasets/banned-historical-archives/wenhuibao https://huggingface.co/datasets/banned-historical-archives/wenhuibao_disk ## 其他原始文件大小超过600GB，因为使用了git LFS，需要占用两倍的存储空间，克隆仓库时请确保磁盘剩余空间大于1.2TB； * 克隆仓库时建议使用git clone --depth 1参数，否则将下载所有commit历史记录，影响下载速度 * todo文件夹中，应及时删除已录入的文稿，避免重复录入 * 使用命令清理当前commit未追踪的大文件: git lfs prune && git gc
Pastinacalda/SUIM	--- license: unknown ---
fia24/dataverse_dataset	--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* dataset_info: features: - name: id dtype: string - name: translation struct: - name: en dtype: string - name: fr dtype: string splits: - name: train num_bytes: 6289213 num_examples: 19799 - name: test num_bytes: 696310 num_examples: 2200 download_size: 3524483 dataset_size: 6985523 --- # Dataset Card for "dataverse_dataset" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
semihGuner2002/PhishingURLsDataset	--- license: apache-2.0 dataset_info: features: - name: url dtype: string - name: label dtype: class_label: names: '0': '0.0' '1': '1.0' - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 38536329.817049906 num_examples: 642533 - name: test num_bytes: 6800578.1829500925 num_examples: 113389 download_size: 32729166 dataset_size: 45336908.0 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* --- # PhishingURLDataset This dataset is created for being used for neural network training, on phishing website detection. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1). ## Dataset Details This dataset contains phishing websites, which are labeled with "1" and are called "malignant", and benign websites, which are labeled with "0". ### Dataset Sources - Kaggle Dataset on Phishing URLs: https://www.kaggle.com/datasets/siddharthkumar25/malicious-and-benign-urls - USOM Phishing Websites Dataset: https://www.usom.gov.tr/url-list.txt - Phishtank Dataset: http://data.phishtank.com/data/online-valid.csv
Thanmay/arc-easy-hi	--- dataset_info: features: - name: id dtype: string - name: answerKey dtype: string - name: itv2 hi dtype: string - name: question dtype: string - name: choices struct: - name: label sequence: string - name: text sequence: string splits: - name: test num_bytes: 2706380 num_examples: 2376 - name: validation num_bytes: 648811 num_examples: 570 download_size: 1235614 dataset_size: 3355191 configs: - config_name: default data_files: - split: test path: data/test-* - split: validation path: data/validation-* ---
open-llm-leaderboard/details_KeyonZeng__lion-gemma-2b	--- pretty_name: Evaluation run of KeyonZeng/lion-gemma-2b dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [KeyonZeng/lion-gemma-2b](https://huggingface.co/KeyonZeng/lion-gemma-2b) on the\ \ [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 63 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 (and is used to compute and display the aggregated 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_KeyonZeng__lion-gemma-2b\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-03-27T19:39:48.412016](https://huggingface.co/datasets/open-llm-leaderboard/details_KeyonZeng__lion-gemma-2b/blob/main/results_2024-03-27T19-39-48.412016.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\": 0.5668938174135245,\n\ \ \"acc_stderr\": 0.033920558669041014,\n \"acc_norm\": 0.5732411787021572,\n\ \ \"acc_norm_stderr\": 0.034638970392460354,\n \"mc1\": 0.3108935128518972,\n\ \ \"mc1_stderr\": 0.016203316673559693,\n \"mc2\": 0.4792261052445388,\n\ \ \"mc2_stderr\": 0.015314648048905671\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.4803754266211604,\n \"acc_stderr\": 0.01460013207594709,\n\ \ \"acc_norm\": 0.5110921501706485,\n \"acc_norm_stderr\": 0.01460779491401305\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.5536745668193587,\n\ \ \"acc_stderr\": 0.004960947388535103,\n \"acc_norm\": 0.7347142003584943,\n\ \ \"acc_norm_stderr\": 0.00440582999325873\n },\n \"harness\|hendrycksTest-abstract_algebra\|5\"\ : {\n \"acc\": 0.33,\n \"acc_stderr\": 0.04725815626252606,\n \ \ \"acc_norm\": 0.33,\n \"acc_norm_stderr\": 0.04725815626252606\n \ \ },\n \"harness\|hendrycksTest-anatomy\|5\": {\n \"acc\": 0.5185185185185185,\n\ \ \"acc_stderr\": 0.043163785995113245,\n \"acc_norm\": 0.5185185185185185,\n\ \ \"acc_norm_stderr\": 0.043163785995113245\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.6118421052631579,\n \"acc_stderr\": 0.03965842097512744,\n\ \ \"acc_norm\": 0.6118421052631579,\n \"acc_norm_stderr\": 0.03965842097512744\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|5\": {\n \"acc\": 0.59,\n\ \ \"acc_stderr\": 0.04943110704237102,\n \"acc_norm\": 0.59,\n \ \ \"acc_norm_stderr\": 0.04943110704237102\n },\n \"harness\|hendrycksTest-clinical_knowledge\|5\"\ : {\n \"acc\": 0.6113207547169811,\n \"acc_stderr\": 0.030000485448675986,\n\ \ \"acc_norm\": 0.6113207547169811,\n \"acc_norm_stderr\": 0.030000485448675986\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.6458333333333334,\n\ \ \"acc_stderr\": 0.039994111357535424,\n \"acc_norm\": 0.6458333333333334,\n\ \ \"acc_norm_stderr\": 0.039994111357535424\n },\n \"harness\|hendrycksTest-college_chemistry\|5\"\ : {\n \"acc\": 0.44,\n \"acc_stderr\": 0.04988876515698589,\n \ \ \"acc_norm\": 0.44,\n \"acc_norm_stderr\": 0.04988876515698589\n \ \ },\n \"harness\|hendrycksTest-college_computer_science\|5\": {\n \"acc\"\ : 0.48,\n \"acc_stderr\": 0.050211673156867795,\n \"acc_norm\": 0.48,\n\ \ \"acc_norm_stderr\": 0.050211673156867795\n },\n \"harness\|hendrycksTest-college_mathematics\|5\"\ : {\n \"acc\": 0.35,\n \"acc_stderr\": 0.0479372485441102,\n \ \ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.0479372485441102\n },\n\ \ \"harness\|hendrycksTest-college_medicine\|5\": {\n \"acc\": 0.5317919075144508,\n\ \ \"acc_stderr\": 0.03804749744364764,\n \"acc_norm\": 0.5317919075144508,\n\ \ \"acc_norm_stderr\": 0.03804749744364764\n },\n \"harness\|hendrycksTest-college_physics\|5\"\ : {\n \"acc\": 0.3333333333333333,\n \"acc_stderr\": 0.04690650298201943,\n\ \ \"acc_norm\": 0.3333333333333333,\n \"acc_norm_stderr\": 0.04690650298201943\n\ \ },\n \"harness\|hendrycksTest-computer_security\|5\": {\n \"acc\":\ \ 0.71,\n \"acc_stderr\": 0.04560480215720685,\n \"acc_norm\": 0.71,\n\ \ \"acc_norm_stderr\": 0.04560480215720685\n },\n \"harness\|hendrycksTest-conceptual_physics\|5\"\ : {\n \"acc\": 0.4851063829787234,\n \"acc_stderr\": 0.032671518489247764,\n\ \ \"acc_norm\": 0.4851063829787234,\n \"acc_norm_stderr\": 0.032671518489247764\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.35964912280701755,\n\ \ \"acc_stderr\": 0.045144961328736334,\n \"acc_norm\": 0.35964912280701755,\n\ \ \"acc_norm_stderr\": 0.045144961328736334\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.6,\n \"acc_stderr\": 0.04082482904638629,\n \ \ \"acc_norm\": 0.6,\n \"acc_norm_stderr\": 0.04082482904638629\n },\n\ \ \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\": 0.4021164021164021,\n\ \ \"acc_stderr\": 0.02525303255499769,\n \"acc_norm\": 0.4021164021164021,\n\ \ \"acc_norm_stderr\": 0.02525303255499769\n },\n \"harness\|hendrycksTest-formal_logic\|5\"\ : {\n \"acc\": 0.31746031746031744,\n \"acc_stderr\": 0.04163453031302859,\n\ \ \"acc_norm\": 0.31746031746031744,\n \"acc_norm_stderr\": 0.04163453031302859\n\ \ },\n \"harness\|hendrycksTest-global_facts\|5\": {\n \"acc\": 0.33,\n\ \ \"acc_stderr\": 0.04725815626252605,\n \"acc_norm\": 0.33,\n \ \ \"acc_norm_stderr\": 0.04725815626252605\n },\n \"harness\|hendrycksTest-high_school_biology\|5\"\ : {\n \"acc\": 0.6935483870967742,\n \"acc_stderr\": 0.02622648565255388,\n\ \ \"acc_norm\": 0.6935483870967742,\n \"acc_norm_stderr\": 0.02622648565255388\n\ \ },\n \"harness\|hendrycksTest-high_school_chemistry\|5\": {\n \"acc\"\ : 0.4876847290640394,\n \"acc_stderr\": 0.035169204442208966,\n \"\ acc_norm\": 0.4876847290640394,\n \"acc_norm_stderr\": 0.035169204442208966\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|5\": {\n \ \ \"acc\": 0.57,\n \"acc_stderr\": 0.04975698519562428,\n \"acc_norm\"\ : 0.57,\n \"acc_norm_stderr\": 0.04975698519562428\n },\n \"harness\|hendrycksTest-high_school_european_history\|5\"\ : {\n \"acc\": 0.6363636363636364,\n \"acc_stderr\": 0.03756335775187897,\n\ \ \"acc_norm\": 0.6363636363636364,\n \"acc_norm_stderr\": 0.03756335775187897\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.7676767676767676,\n \"acc_stderr\": 0.030088629490217487,\n \"\ acc_norm\": 0.7676767676767676,\n \"acc_norm_stderr\": 0.030088629490217487\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.7564766839378239,\n \"acc_stderr\": 0.030975436386845436,\n\ \ \"acc_norm\": 0.7564766839378239,\n \"acc_norm_stderr\": 0.030975436386845436\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.5743589743589743,\n \"acc_stderr\": 0.025069094387296532,\n\ \ \"acc_norm\": 0.5743589743589743,\n \"acc_norm_stderr\": 0.025069094387296532\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.35555555555555557,\n \"acc_stderr\": 0.0291857149498574,\n \ \ \"acc_norm\": 0.35555555555555557,\n \"acc_norm_stderr\": 0.0291857149498574\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.5966386554621849,\n \"acc_stderr\": 0.031866081214088314,\n\ \ \"acc_norm\": 0.5966386554621849,\n \"acc_norm_stderr\": 0.031866081214088314\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.4304635761589404,\n \"acc_stderr\": 0.04042809961395634,\n \"\ acc_norm\": 0.4304635761589404,\n \"acc_norm_stderr\": 0.04042809961395634\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.7761467889908257,\n \"acc_stderr\": 0.017871217767790215,\n \"\ acc_norm\": 0.7761467889908257,\n \"acc_norm_stderr\": 0.017871217767790215\n\ \ },\n \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\"\ : 0.4675925925925926,\n \"acc_stderr\": 0.03402801581358966,\n \"\ acc_norm\": 0.4675925925925926,\n \"acc_norm_stderr\": 0.03402801581358966\n\ \ },\n \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\"\ : 0.7156862745098039,\n \"acc_stderr\": 0.03166009679399811,\n \"\ acc_norm\": 0.7156862745098039,\n \"acc_norm_stderr\": 0.03166009679399811\n\ \ },\n \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"\ acc\": 0.7341772151898734,\n \"acc_stderr\": 0.028756799629658342,\n \ \ \"acc_norm\": 0.7341772151898734,\n \"acc_norm_stderr\": 0.028756799629658342\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.6367713004484304,\n\ \ \"acc_stderr\": 0.03227790442850499,\n \"acc_norm\": 0.6367713004484304,\n\ \ \"acc_norm_stderr\": 0.03227790442850499\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.6183206106870229,\n \"acc_stderr\": 0.042607351576445594,\n\ \ \"acc_norm\": 0.6183206106870229,\n \"acc_norm_stderr\": 0.042607351576445594\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.7355371900826446,\n \"acc_stderr\": 0.040261875275912073,\n \"\ acc_norm\": 0.7355371900826446,\n \"acc_norm_stderr\": 0.040261875275912073\n\ \ },\n \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.6851851851851852,\n\ \ \"acc_stderr\": 0.04489931073591312,\n \"acc_norm\": 0.6851851851851852,\n\ \ \"acc_norm_stderr\": 0.04489931073591312\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.6257668711656442,\n \"acc_stderr\": 0.03802068102899616,\n\ \ \"acc_norm\": 0.6257668711656442,\n \"acc_norm_stderr\": 0.03802068102899616\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.4107142857142857,\n\ \ \"acc_stderr\": 0.04669510663875191,\n \"acc_norm\": 0.4107142857142857,\n\ \ \"acc_norm_stderr\": 0.04669510663875191\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.7087378640776699,\n \"acc_stderr\": 0.04498676320572922,\n\ \ \"acc_norm\": 0.7087378640776699,\n \"acc_norm_stderr\": 0.04498676320572922\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.8205128205128205,\n\ \ \"acc_stderr\": 0.025140935950335452,\n \"acc_norm\": 0.8205128205128205,\n\ \ \"acc_norm_stderr\": 0.025140935950335452\n },\n \"harness\|hendrycksTest-medical_genetics\|5\"\ : {\n \"acc\": 0.65,\n \"acc_stderr\": 0.0479372485441102,\n \ \ \"acc_norm\": 0.65,\n \"acc_norm_stderr\": 0.0479372485441102\n },\n\ \ \"harness\|hendrycksTest-miscellaneous\|5\": {\n \"acc\": 0.7369093231162197,\n\ \ \"acc_stderr\": 0.015745497169049053,\n \"acc_norm\": 0.7369093231162197,\n\ \ \"acc_norm_stderr\": 0.015745497169049053\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.6127167630057804,\n \"acc_stderr\": 0.026226158605124658,\n\ \ \"acc_norm\": 0.6127167630057804,\n \"acc_norm_stderr\": 0.026226158605124658\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.3139664804469274,\n\ \ \"acc_stderr\": 0.01552192393352364,\n \"acc_norm\": 0.3139664804469274,\n\ \ \"acc_norm_stderr\": 0.01552192393352364\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.6535947712418301,\n \"acc_stderr\": 0.027245613047215365,\n\ \ \"acc_norm\": 0.6535947712418301,\n \"acc_norm_stderr\": 0.027245613047215365\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.6366559485530546,\n\ \ \"acc_stderr\": 0.027316847674192707,\n \"acc_norm\": 0.6366559485530546,\n\ \ \"acc_norm_stderr\": 0.027316847674192707\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.5987654320987654,\n \"acc_stderr\": 0.027272582849839796,\n\ \ \"acc_norm\": 0.5987654320987654,\n \"acc_norm_stderr\": 0.027272582849839796\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.4148936170212766,\n \"acc_stderr\": 0.029392236584612503,\n \ \ \"acc_norm\": 0.4148936170212766,\n \"acc_norm_stderr\": 0.029392236584612503\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.394393741851369,\n\ \ \"acc_stderr\": 0.01248214166563119,\n \"acc_norm\": 0.394393741851369,\n\ \ \"acc_norm_stderr\": 0.01248214166563119\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.5404411764705882,\n \"acc_stderr\": 0.03027332507734576,\n\ \ \"acc_norm\": 0.5404411764705882,\n \"acc_norm_stderr\": 0.03027332507734576\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.5326797385620915,\n \"acc_stderr\": 0.0201845833591022,\n \ \ \"acc_norm\": 0.5326797385620915,\n \"acc_norm_stderr\": 0.0201845833591022\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.6545454545454545,\n\ \ \"acc_stderr\": 0.04554619617541054,\n \"acc_norm\": 0.6545454545454545,\n\ \ \"acc_norm_stderr\": 0.04554619617541054\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.689795918367347,\n \"acc_stderr\": 0.029613459872484378,\n\ \ \"acc_norm\": 0.689795918367347,\n \"acc_norm_stderr\": 0.029613459872484378\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.7761194029850746,\n\ \ \"acc_stderr\": 0.029475250236017193,\n \"acc_norm\": 0.7761194029850746,\n\ \ \"acc_norm_stderr\": 0.029475250236017193\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.76,\n \"acc_stderr\": 0.042923469599092816,\n \ \ \"acc_norm\": 0.76,\n \"acc_norm_stderr\": 0.042923469599092816\n \ \ },\n \"harness\|hendrycksTest-virology\|5\": {\n \"acc\": 0.4397590361445783,\n\ \ \"acc_stderr\": 0.03864139923699121,\n \"acc_norm\": 0.4397590361445783,\n\ \ \"acc_norm_stderr\": 0.03864139923699121\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.7192982456140351,\n \"acc_stderr\": 0.034462962170884265,\n\ \ \"acc_norm\": 0.7192982456140351,\n \"acc_norm_stderr\": 0.034462962170884265\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.3108935128518972,\n\ \ \"mc1_stderr\": 0.016203316673559693,\n \"mc2\": 0.4792261052445388,\n\ \ \"mc2_stderr\": 0.015314648048905671\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.7079715864246251,\n \"acc_stderr\": 0.012779198491754027\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.2630780894617134,\n \ \ \"acc_stderr\": 0.012128172607375925\n }\n}\n```" repo_url: https://huggingface.co/KeyonZeng/lion-gemma-2b 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: 2024_03_27T19_39_48.412016 path: - '/details_harness\|arc:challenge\|25_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2024-03-27T19-39-48.412016.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '/details_harness\|gsm8k\|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_03_27T19_39_48.412016 path: - '/details_harness\|hellaswag\|10_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-03-27T19-39-48.412016.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '/details_harness\|hendrycksTest-international_law\|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '/details_harness\|hendrycksTest-management\|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '/details_harness\|hendrycksTest-marketing\|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '/details_harness\|hendrycksTest-sociology\|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '/details_harness\|hendrycksTest-virology\|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_03_27T19_39_48.412016 path: - '/details_harness\|truthfulqa:mc\|0_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2024-03-27T19-39-48.412016.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '/details_harness\|winogrande\|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2024-03-27T19-39-48.412016.parquet' - config_name: results data_files: - split: 2024_03_27T19_39_48.412016 path: - results_2024-03-27T19-39-48.412016.parquet - split: latest path: - results_2024-03-27T19-39-48.412016.parquet --- # Dataset Card for Evaluation run of KeyonZeng/lion-gemma-2b <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [KeyonZeng/lion-gemma-2b](https://huggingface.co/KeyonZeng/lion-gemma-2b) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 63 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 (and is used to compute and display the aggregated 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_KeyonZeng__lion-gemma-2b", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-03-27T19:39:48.412016](https://huggingface.co/datasets/open-llm-leaderboard/details_KeyonZeng__lion-gemma-2b/blob/main/results_2024-03-27T19-39-48.412016.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": 0.5668938174135245, "acc_stderr": 0.033920558669041014, "acc_norm": 0.5732411787021572, "acc_norm_stderr": 0.034638970392460354, "mc1": 0.3108935128518972, "mc1_stderr": 0.016203316673559693, "mc2": 0.4792261052445388, "mc2_stderr": 0.015314648048905671 }, "harness\|arc:challenge\|25": { "acc": 0.4803754266211604, "acc_stderr": 0.01460013207594709, "acc_norm": 0.5110921501706485, "acc_norm_stderr": 0.01460779491401305 }, "harness\|hellaswag\|10": { "acc": 0.5536745668193587, "acc_stderr": 0.004960947388535103, "acc_norm": 0.7347142003584943, "acc_norm_stderr": 0.00440582999325873 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.33, "acc_stderr": 0.04725815626252606, "acc_norm": 0.33, "acc_norm_stderr": 0.04725815626252606 }, "harness\|hendrycksTest-anatomy\|5": { "acc": 0.5185185185185185, "acc_stderr": 0.043163785995113245, "acc_norm": 0.5185185185185185, "acc_norm_stderr": 0.043163785995113245 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.6118421052631579, "acc_stderr": 0.03965842097512744, "acc_norm": 0.6118421052631579, "acc_norm_stderr": 0.03965842097512744 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.59, "acc_stderr": 0.04943110704237102, "acc_norm": 0.59, "acc_norm_stderr": 0.04943110704237102 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.6113207547169811, "acc_stderr": 0.030000485448675986, "acc_norm": 0.6113207547169811, "acc_norm_stderr": 0.030000485448675986 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.6458333333333334, "acc_stderr": 0.039994111357535424, "acc_norm": 0.6458333333333334, "acc_norm_stderr": 0.039994111357535424 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.44, "acc_stderr": 0.04988876515698589, "acc_norm": 0.44, "acc_norm_stderr": 0.04988876515698589 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.48, "acc_stderr": 0.050211673156867795, "acc_norm": 0.48, "acc_norm_stderr": 0.050211673156867795 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.35, "acc_stderr": 0.0479372485441102, "acc_norm": 0.35, "acc_norm_stderr": 0.0479372485441102 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.5317919075144508, "acc_stderr": 0.03804749744364764, "acc_norm": 0.5317919075144508, "acc_norm_stderr": 0.03804749744364764 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.3333333333333333, "acc_stderr": 0.04690650298201943, "acc_norm": 0.3333333333333333, "acc_norm_stderr": 0.04690650298201943 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.71, "acc_stderr": 0.04560480215720685, "acc_norm": 0.71, "acc_norm_stderr": 0.04560480215720685 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.4851063829787234, "acc_stderr": 0.032671518489247764, "acc_norm": 0.4851063829787234, "acc_norm_stderr": 0.032671518489247764 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.35964912280701755, "acc_stderr": 0.045144961328736334, "acc_norm": 0.35964912280701755, "acc_norm_stderr": 0.045144961328736334 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.6, "acc_stderr": 0.04082482904638629, "acc_norm": 0.6, "acc_norm_stderr": 0.04082482904638629 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.4021164021164021, "acc_stderr": 0.02525303255499769, "acc_norm": 0.4021164021164021, "acc_norm_stderr": 0.02525303255499769 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.31746031746031744, "acc_stderr": 0.04163453031302859, "acc_norm": 0.31746031746031744, "acc_norm_stderr": 0.04163453031302859 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.33, "acc_stderr": 0.04725815626252605, "acc_norm": 0.33, "acc_norm_stderr": 0.04725815626252605 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.6935483870967742, "acc_stderr": 0.02622648565255388, "acc_norm": 0.6935483870967742, "acc_norm_stderr": 0.02622648565255388 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.4876847290640394, "acc_stderr": 0.035169204442208966, "acc_norm": 0.4876847290640394, "acc_norm_stderr": 0.035169204442208966 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.57, "acc_stderr": 0.04975698519562428, "acc_norm": 0.57, "acc_norm_stderr": 0.04975698519562428 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.6363636363636364, "acc_stderr": 0.03756335775187897, "acc_norm": 0.6363636363636364, "acc_norm_stderr": 0.03756335775187897 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.7676767676767676, "acc_stderr": 0.030088629490217487, "acc_norm": 0.7676767676767676, "acc_norm_stderr": 0.030088629490217487 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.7564766839378239, "acc_stderr": 0.030975436386845436, "acc_norm": 0.7564766839378239, "acc_norm_stderr": 0.030975436386845436 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.5743589743589743, "acc_stderr": 0.025069094387296532, "acc_norm": 0.5743589743589743, "acc_norm_stderr": 0.025069094387296532 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.35555555555555557, "acc_stderr": 0.0291857149498574, "acc_norm": 0.35555555555555557, "acc_norm_stderr": 0.0291857149498574 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.5966386554621849, "acc_stderr": 0.031866081214088314, "acc_norm": 0.5966386554621849, "acc_norm_stderr": 0.031866081214088314 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.4304635761589404, "acc_stderr": 0.04042809961395634, "acc_norm": 0.4304635761589404, "acc_norm_stderr": 0.04042809961395634 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.7761467889908257, "acc_stderr": 0.017871217767790215, "acc_norm": 0.7761467889908257, "acc_norm_stderr": 0.017871217767790215 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.4675925925925926, "acc_stderr": 0.03402801581358966, "acc_norm": 0.4675925925925926, "acc_norm_stderr": 0.03402801581358966 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.7156862745098039, "acc_stderr": 0.03166009679399811, "acc_norm": 0.7156862745098039, "acc_norm_stderr": 0.03166009679399811 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.7341772151898734, "acc_stderr": 0.028756799629658342, "acc_norm": 0.7341772151898734, "acc_norm_stderr": 0.028756799629658342 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.6367713004484304, "acc_stderr": 0.03227790442850499, "acc_norm": 0.6367713004484304, "acc_norm_stderr": 0.03227790442850499 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.6183206106870229, "acc_stderr": 0.042607351576445594, "acc_norm": 0.6183206106870229, "acc_norm_stderr": 0.042607351576445594 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.7355371900826446, "acc_stderr": 0.040261875275912073, "acc_norm": 0.7355371900826446, "acc_norm_stderr": 0.040261875275912073 }, "harness\|hendrycksTest-jurisprudence\|5": { "acc": 0.6851851851851852, "acc_stderr": 0.04489931073591312, "acc_norm": 0.6851851851851852, "acc_norm_stderr": 0.04489931073591312 }, "harness\|hendrycksTest-logical_fallacies\|5": { "acc": 0.6257668711656442, "acc_stderr": 0.03802068102899616, "acc_norm": 0.6257668711656442, "acc_norm_stderr": 0.03802068102899616 }, "harness\|hendrycksTest-machine_learning\|5": { "acc": 0.4107142857142857, "acc_stderr": 0.04669510663875191, "acc_norm": 0.4107142857142857, "acc_norm_stderr": 0.04669510663875191 }, "harness\|hendrycksTest-management\|5": { "acc": 0.7087378640776699, "acc_stderr": 0.04498676320572922, "acc_norm": 0.7087378640776699, "acc_norm_stderr": 0.04498676320572922 }, "harness\|hendrycksTest-marketing\|5": { "acc": 0.8205128205128205, "acc_stderr": 0.025140935950335452, "acc_norm": 0.8205128205128205, "acc_norm_stderr": 0.025140935950335452 }, "harness\|hendrycksTest-medical_genetics\|5": { "acc": 0.65, "acc_stderr": 0.0479372485441102, "acc_norm": 0.65, "acc_norm_stderr": 0.0479372485441102 }, "harness\|hendrycksTest-miscellaneous\|5": { "acc": 0.7369093231162197, "acc_stderr": 0.015745497169049053, "acc_norm": 0.7369093231162197, "acc_norm_stderr": 0.015745497169049053 }, "harness\|hendrycksTest-moral_disputes\|5": { "acc": 0.6127167630057804, "acc_stderr": 0.026226158605124658, "acc_norm": 0.6127167630057804, "acc_norm_stderr": 0.026226158605124658 }, "harness\|hendrycksTest-moral_scenarios\|5": { "acc": 0.3139664804469274, "acc_stderr": 0.01552192393352364, "acc_norm": 0.3139664804469274, "acc_norm_stderr": 0.01552192393352364 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.6535947712418301, "acc_stderr": 0.027245613047215365, "acc_norm": 0.6535947712418301, "acc_norm_stderr": 0.027245613047215365 }, "harness\|hendrycksTest-philosophy\|5": { "acc": 0.6366559485530546, "acc_stderr": 0.027316847674192707, "acc_norm": 0.6366559485530546, "acc_norm_stderr": 0.027316847674192707 }, "harness\|hendrycksTest-prehistory\|5": { "acc": 0.5987654320987654, "acc_stderr": 0.027272582849839796, "acc_norm": 0.5987654320987654, "acc_norm_stderr": 0.027272582849839796 }, "harness\|hendrycksTest-professional_accounting\|5": { "acc": 0.4148936170212766, "acc_stderr": 0.029392236584612503, "acc_norm": 0.4148936170212766, "acc_norm_stderr": 0.029392236584612503 }, "harness\|hendrycksTest-professional_law\|5": { "acc": 0.394393741851369, "acc_stderr": 0.01248214166563119, "acc_norm": 0.394393741851369, "acc_norm_stderr": 0.01248214166563119 }, "harness\|hendrycksTest-professional_medicine\|5": { "acc": 0.5404411764705882, "acc_stderr": 0.03027332507734576, "acc_norm": 0.5404411764705882, "acc_norm_stderr": 0.03027332507734576 }, "harness\|hendrycksTest-professional_psychology\|5": { "acc": 0.5326797385620915, "acc_stderr": 0.0201845833591022, "acc_norm": 0.5326797385620915, "acc_norm_stderr": 0.0201845833591022 }, "harness\|hendrycksTest-public_relations\|5": { "acc": 0.6545454545454545, "acc_stderr": 0.04554619617541054, "acc_norm": 0.6545454545454545, "acc_norm_stderr": 0.04554619617541054 }, "harness\|hendrycksTest-security_studies\|5": { "acc": 0.689795918367347, "acc_stderr": 0.029613459872484378, "acc_norm": 0.689795918367347, "acc_norm_stderr": 0.029613459872484378 }, "harness\|hendrycksTest-sociology\|5": { "acc": 0.7761194029850746, "acc_stderr": 0.029475250236017193, "acc_norm": 0.7761194029850746, "acc_norm_stderr": 0.029475250236017193 }, "harness\|hendrycksTest-us_foreign_policy\|5": { "acc": 0.76, "acc_stderr": 0.042923469599092816, "acc_norm": 0.76, "acc_norm_stderr": 0.042923469599092816 }, "harness\|hendrycksTest-virology\|5": { "acc": 0.4397590361445783, "acc_stderr": 0.03864139923699121, "acc_norm": 0.4397590361445783, "acc_norm_stderr": 0.03864139923699121 }, "harness\|hendrycksTest-world_religions\|5": { "acc": 0.7192982456140351, "acc_stderr": 0.034462962170884265, "acc_norm": 0.7192982456140351, "acc_norm_stderr": 0.034462962170884265 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.3108935128518972, "mc1_stderr": 0.016203316673559693, "mc2": 0.4792261052445388, "mc2_stderr": 0.015314648048905671 }, "harness\|winogrande\|5": { "acc": 0.7079715864246251, "acc_stderr": 0.012779198491754027 }, "harness\|gsm8k\|5": { "acc": 0.2630780894617134, "acc_stderr": 0.012128172607375925 } } ``` ## 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]
CopyleftCultivars/Semisynthetic_Data_Natural_Farming_Fundamentals	--- license: mit --- This dataset was created semi-synthetically using a RAG system containing Korean Natural Farming teaching texts official english versions, along with open nutrient projects data, connected to a ChatGPT4 API, put together by Copyleft Cultivars Nonprofit, then cleaned lightly by Caleb DeLeeuw. The dataset is in json.
sudipto-ducs/mini-platypus	--- license: apache-2.0 dataset_info: features: - name: instruction dtype: string - name: output dtype: string splits: - name: train num_bytes: 1072343 num_examples: 1000 download_size: 560564 dataset_size: 1072343 ---
dtldhjh/github-issues	--- dataset_info: features: - name: url dtype: string - name: repository_url dtype: string - name: labels_url dtype: string - name: comments_url dtype: string - name: events_url dtype: string - name: html_url dtype: string - name: id dtype: int64 - name: node_id dtype: string - name: number dtype: int64 - name: title dtype: string - name: user dtype: string - name: labels dtype: string - name: state dtype: string - name: locked dtype: bool - name: assignee dtype: string - name: assignees dtype: string - name: milestone dtype: string - name: comments sequence: string - name: created_at dtype: string - name: updated_at dtype: string - name: closed_at dtype: string - name: author_association dtype: string - name: active_lock_reason dtype: float64 - name: body dtype: string - name: reactions dtype: string - name: timeline_url dtype: string - name: performed_via_github_app dtype: float64 - name: state_reason dtype: string - name: draft dtype: bool - name: pull_request dtype: string - name: is_pull_request dtype: bool splits: - name: train num_bytes: 24390715 num_examples: 5000 download_size: 6142822 dataset_size: 24390715 --- # Dataset Card for "github-issues" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
laaaarrywang/test	--- task_categories: - text-classification - feature-extraction language: - en tags: - finance size_categories: - 1K<n<10K ---
KaiLv/UDR_Yahoo	--- dataset_info: features: - name: idx dtype: int64 - name: label dtype: int64 - name: title dtype: string - name: content dtype: string - name: sentence dtype: string - name: len_sentence dtype: int64 splits: - name: train num_bytes: 17812235 num_examples: 29150 - name: test num_bytes: 1767766 num_examples: 3000 - name: debug num_bytes: 3032530 num_examples: 5000 download_size: 14936274 dataset_size: 22612531 --- # Dataset Card for "UDR_Yahoo" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
zqjilove/chill	--- license: openrail ---
CyberHarem/cornelia_arnim_fireemblem	--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of cornelia_arnim (Fire Emblem) This is the dataset of cornelia_arnim (Fire Emblem), containing 40 images and their tags. The core tags of this character are `breasts, long_hair, large_breasts, green_eyes, pink_hair, blue_eyes`, which are pruned in this dataset. Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)). ## List of Packages \| Name \| Images \| Size \| Download \| Type \| Description \| \|:-----------------\|---------:\|:-----------\|:---------------------------------------------------------------------------------------------------------------------------\|:-----------\|:---------------------------------------------------------------------\| \| raw \| 40 \| 74.90 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/cornelia_arnim_fireemblem/resolve/main/dataset-raw.zip) \| Waifuc-Raw \| Raw data with meta information (min edge aligned to 1400 if larger). \| \| 800 \| 40 \| 36.70 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/cornelia_arnim_fireemblem/resolve/main/dataset-800.zip) \| IMG+TXT \| dataset with the shorter side not exceeding 800 pixels. \| \| stage3-p480-800 \| 99 \| 79.36 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/cornelia_arnim_fireemblem/resolve/main/dataset-stage3-p480-800.zip) \| IMG+TXT \| 3-stage cropped dataset with the area not less than 480x480 pixels. \| \| 1200 \| 40 \| 65.48 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/cornelia_arnim_fireemblem/resolve/main/dataset-1200.zip) \| IMG+TXT \| dataset with the shorter side not exceeding 1200 pixels. \| \| stage3-p480-1200 \| 99 \| 125.38 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/cornelia_arnim_fireemblem/resolve/main/dataset-stage3-p480-1200.zip) \| IMG+TXT \| 3-stage cropped dataset with the area not less than 480x480 pixels. \| ### Load Raw Dataset with Waifuc We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code ```python import os import zipfile from huggingface_hub import hf_hub_download from waifuc.source import LocalSource # download raw archive file zip_file = hf_hub_download( repo_id='CyberHarem/cornelia_arnim_fireemblem', repo_type='dataset', filename='dataset-raw.zip', ) # extract files to your directory dataset_dir = 'dataset_dir' os.makedirs(dataset_dir, exist_ok=True) with zipfile.ZipFile(zip_file, 'r') as zf: zf.extractall(dataset_dir) # load the dataset with waifuc source = LocalSource(dataset_dir) for item in source: print(item.image, item.meta['filename'], item.meta['tags']) ``` ## List of Clusters List of tag clustering result, maybe some outfits can be mined here. ### Raw Text Version \| # \| Samples \| Img-1 \| Img-2 \| Img-3 \| Img-4 \| Img-5 \| Tags \| \|----:\|----------:\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------------------------------------------------------------------------------------------\| \| 0 \| 33 \| ![](samples/0/clu0-sample0.png) \| ![](samples/0/clu0-sample1.png) \| ![](samples/0/clu0-sample2.png) \| ![](samples/0/clu0-sample3.png) \| ![](samples/0/clu0-sample4.png) \| 1girl, solo, smile, circlet, cleavage, dress, looking_at_viewer, jewelry, simple_background, bare_shoulders, thighs \| ### Table Version \| # \| Samples \| Img-1 \| Img-2 \| Img-3 \| Img-4 \| Img-5 \| 1girl \| solo \| smile \| circlet \| cleavage \| dress \| looking_at_viewer \| jewelry \| simple_background \| bare_shoulders \| thighs \| \|----:\|----------:\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------\|:-------\|:--------\|:----------\|:-----------\|:--------\|:--------------------\|:----------\|:--------------------\|:-----------------\|:---------\| \| 0 \| 33 \| ![](samples/0/clu0-sample0.png) \| ![](samples/0/clu0-sample1.png) \| ![](samples/0/clu0-sample2.png) \| ![](samples/0/clu0-sample3.png) \| ![](samples/0/clu0-sample4.png) \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \|
Alexator26/800_second_face_stickers_cleared	--- dataset_info: features: - name: original_image dtype: image - name: edit_prompt dtype: string - name: cartoonized_image dtype: image splits: - name: train num_bytes: 127188525.0 num_examples: 206 download_size: 127191795 dataset_size: 127188525.0 configs: - config_name: default data_files: - split: train path: data/train-* ---
datasets-examples/doc-formats-jsonl-1	--- size_categories: - n<1K --- # [doc] formats - jsonl - 1 This dataset contains one jsonl file at the root.
liuyanchen1015/MULTI_VALUE_mnli_me_us	--- dataset_info: features: - name: premise dtype: string - name: hypothesis dtype: string - name: label dtype: int64 - name: idx dtype: int64 - name: score dtype: int64 splits: - name: dev_matched num_bytes: 53725 num_examples: 253 - name: dev_mismatched num_bytes: 82785 num_examples: 395 - name: test_matched num_bytes: 75520 num_examples: 358 - name: test_mismatched num_bytes: 77093 num_examples: 359 - name: train num_bytes: 2415658 num_examples: 11573 download_size: 1551924 dataset_size: 2704781 --- # Dataset Card for "MULTI_VALUE_mnli_me_us" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
ylacombe/google-gujarati	--- dataset_info: - config_name: female features: - name: audio dtype: audio - name: text dtype: string - name: speaker_id dtype: int64 splits: - name: train num_bytes: 1481707913.184 num_examples: 2219 download_size: 1171501409 dataset_size: 1481707913.184 - config_name: male features: - name: audio dtype: audio - name: text dtype: string - name: speaker_id dtype: int64 splits: - name: train num_bytes: 1233511380.616 num_examples: 2053 download_size: 1011014041 dataset_size: 1233511380.616 configs: - config_name: female data_files: - split: train path: female/train-* - config_name: male data_files: - split: train path: male/train-* --- # Dataset Card for "google-gujarati" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
C-MTEB/ThuNewsClusteringP2P	--- configs: - config_name: default data_files: - split: test path: data/test-* dataset_info: features: - name: sentences sequence: string - name: labels sequence: string splits: - name: test num_bytes: 31552896 num_examples: 10 download_size: 23299710 dataset_size: 31552896 --- # Dataset Card for "ThuNewsClusteringP2P" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
open-llm-leaderboard/details_chlee10__T3Q-MSlerp-7Bx2	--- pretty_name: Evaluation run of chlee10/T3Q-MSlerp-7Bx2 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [chlee10/T3Q-MSlerp-7Bx2](https://huggingface.co/chlee10/T3Q-MSlerp-7Bx2) on the\ \ [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 63 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 (and is used to compute and display the aggregated 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_chlee10__T3Q-MSlerp-7Bx2\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-03-13T03:13:45.913085](https://huggingface.co/datasets/open-llm-leaderboard/details_chlee10__T3Q-MSlerp-7Bx2/blob/main/results_2024-03-13T03-13-45.913085.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\": 0.2589646771433041,\n\ \ \"acc_stderr\": 0.030862711301155407,\n \"acc_norm\": 0.2594822816717954,\n\ \ \"acc_norm_stderr\": 0.03168729202498976,\n \"mc1\": 0.2178702570379437,\n\ \ \"mc1_stderr\": 0.014450846714123892,\n \"mc2\": 0.47282237996457954,\n\ \ \"mc2_stderr\": 0.016347102378553885\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.22781569965870307,\n \"acc_stderr\": 0.01225670860232692,\n\ \ \"acc_norm\": 0.2841296928327645,\n \"acc_norm_stderr\": 0.013179442447653886\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.2545309699263095,\n\ \ \"acc_stderr\": 0.0043470700195274775,\n \"acc_norm\": 0.2546305516829317,\n\ \ \"acc_norm_stderr\": 0.004347629889040943\n },\n \"harness\|hendrycksTest-abstract_algebra\|5\"\ : {\n \"acc\": 0.31,\n \"acc_stderr\": 0.04648231987117316,\n \ \ \"acc_norm\": 0.31,\n \"acc_norm_stderr\": 0.04648231987117316\n \ \ },\n \"harness\|hendrycksTest-anatomy\|5\": {\n \"acc\": 0.3333333333333333,\n\ \ \"acc_stderr\": 0.04072314811876837,\n \"acc_norm\": 0.3333333333333333,\n\ \ \"acc_norm_stderr\": 0.04072314811876837\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.3026315789473684,\n \"acc_stderr\": 0.037385206761196665,\n\ \ \"acc_norm\": 0.3026315789473684,\n \"acc_norm_stderr\": 0.037385206761196665\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|5\": {\n \"acc\": 0.17,\n\ \ \"acc_stderr\": 0.03775251680686371,\n \"acc_norm\": 0.17,\n \ \ \"acc_norm_stderr\": 0.03775251680686371\n },\n \"harness\|hendrycksTest-clinical_knowledge\|5\"\ : {\n \"acc\": 0.2188679245283019,\n \"acc_stderr\": 0.02544786382510861,\n\ \ \"acc_norm\": 0.2188679245283019,\n \"acc_norm_stderr\": 0.02544786382510861\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.2222222222222222,\n\ \ \"acc_stderr\": 0.03476590104304134,\n \"acc_norm\": 0.2222222222222222,\n\ \ \"acc_norm_stderr\": 0.03476590104304134\n },\n \"harness\|hendrycksTest-college_chemistry\|5\"\ : {\n \"acc\": 0.18,\n \"acc_stderr\": 0.03861229196653694,\n \ \ \"acc_norm\": 0.18,\n \"acc_norm_stderr\": 0.03861229196653694\n \ \ },\n \"harness\|hendrycksTest-college_computer_science\|5\": {\n \"acc\"\ : 0.26,\n \"acc_stderr\": 0.0440844002276808,\n \"acc_norm\": 0.26,\n\ \ \"acc_norm_stderr\": 0.0440844002276808\n },\n \"harness\|hendrycksTest-college_mathematics\|5\"\ : {\n \"acc\": 0.25,\n \"acc_stderr\": 0.04351941398892446,\n \ \ \"acc_norm\": 0.25,\n \"acc_norm_stderr\": 0.04351941398892446\n \ \ },\n \"harness\|hendrycksTest-college_medicine\|5\": {\n \"acc\": 0.26011560693641617,\n\ \ \"acc_stderr\": 0.033450369167889925,\n \"acc_norm\": 0.26011560693641617,\n\ \ \"acc_norm_stderr\": 0.033450369167889925\n },\n \"harness\|hendrycksTest-college_physics\|5\"\ : {\n \"acc\": 0.21568627450980393,\n \"acc_stderr\": 0.04092563958237655,\n\ \ \"acc_norm\": 0.21568627450980393,\n \"acc_norm_stderr\": 0.04092563958237655\n\ \ },\n \"harness\|hendrycksTest-computer_security\|5\": {\n \"acc\":\ \ 0.3,\n \"acc_stderr\": 0.046056618647183814,\n \"acc_norm\": 0.3,\n\ \ \"acc_norm_stderr\": 0.046056618647183814\n },\n \"harness\|hendrycksTest-conceptual_physics\|5\"\ : {\n \"acc\": 0.20425531914893616,\n \"acc_stderr\": 0.026355158413349424,\n\ \ \"acc_norm\": 0.20425531914893616,\n \"acc_norm_stderr\": 0.026355158413349424\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.2807017543859649,\n\ \ \"acc_stderr\": 0.04227054451232199,\n \"acc_norm\": 0.2807017543859649,\n\ \ \"acc_norm_stderr\": 0.04227054451232199\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.296551724137931,\n \"acc_stderr\": 0.03806142687309993,\n\ \ \"acc_norm\": 0.296551724137931,\n \"acc_norm_stderr\": 0.03806142687309993\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.26455026455026454,\n \"acc_stderr\": 0.02271746789770861,\n \"\ acc_norm\": 0.26455026455026454,\n \"acc_norm_stderr\": 0.02271746789770861\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.15079365079365079,\n\ \ \"acc_stderr\": 0.03200686497287392,\n \"acc_norm\": 0.15079365079365079,\n\ \ \"acc_norm_stderr\": 0.03200686497287392\n },\n \"harness\|hendrycksTest-global_facts\|5\"\ : {\n \"acc\": 0.33,\n \"acc_stderr\": 0.04725815626252604,\n \ \ \"acc_norm\": 0.33,\n \"acc_norm_stderr\": 0.04725815626252604\n \ \ },\n \"harness\|hendrycksTest-high_school_biology\|5\": {\n \"acc\": 0.3193548387096774,\n\ \ \"acc_stderr\": 0.02652270967466777,\n \"acc_norm\": 0.3193548387096774,\n\ \ \"acc_norm_stderr\": 0.02652270967466777\n },\n \"harness\|hendrycksTest-high_school_chemistry\|5\"\ : {\n \"acc\": 0.31527093596059114,\n \"acc_stderr\": 0.03269080871970186,\n\ \ \"acc_norm\": 0.31527093596059114,\n \"acc_norm_stderr\": 0.03269080871970186\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|5\": {\n \ \ \"acc\": 0.33,\n \"acc_stderr\": 0.047258156262526045,\n \"acc_norm\"\ : 0.33,\n \"acc_norm_stderr\": 0.047258156262526045\n },\n \"harness\|hendrycksTest-high_school_european_history\|5\"\ : {\n \"acc\": 0.28484848484848485,\n \"acc_stderr\": 0.035243908445117836,\n\ \ \"acc_norm\": 0.28484848484848485,\n \"acc_norm_stderr\": 0.035243908445117836\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.2222222222222222,\n \"acc_stderr\": 0.02962022787479049,\n \"\ acc_norm\": 0.2222222222222222,\n \"acc_norm_stderr\": 0.02962022787479049\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.22797927461139897,\n \"acc_stderr\": 0.030276909945178256,\n\ \ \"acc_norm\": 0.22797927461139897,\n \"acc_norm_stderr\": 0.030276909945178256\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.2205128205128205,\n \"acc_stderr\": 0.021020672680827912,\n\ \ \"acc_norm\": 0.2205128205128205,\n \"acc_norm_stderr\": 0.021020672680827912\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.26296296296296295,\n \"acc_stderr\": 0.02684205787383371,\n \ \ \"acc_norm\": 0.26296296296296295,\n \"acc_norm_stderr\": 0.02684205787383371\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.21008403361344538,\n \"acc_stderr\": 0.026461398717471874,\n\ \ \"acc_norm\": 0.21008403361344538,\n \"acc_norm_stderr\": 0.026461398717471874\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.271523178807947,\n \"acc_stderr\": 0.03631329803969653,\n \"acc_norm\"\ : 0.271523178807947,\n \"acc_norm_stderr\": 0.03631329803969653\n },\n\ \ \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\": 0.28807339449541286,\n\ \ \"acc_stderr\": 0.01941644589263602,\n \"acc_norm\": 0.28807339449541286,\n\ \ \"acc_norm_stderr\": 0.01941644589263602\n },\n \"harness\|hendrycksTest-high_school_statistics\|5\"\ : {\n \"acc\": 0.21296296296296297,\n \"acc_stderr\": 0.027920963147993656,\n\ \ \"acc_norm\": 0.21296296296296297,\n \"acc_norm_stderr\": 0.027920963147993656\n\ \ },\n \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\"\ : 0.2696078431372549,\n \"acc_stderr\": 0.03114557065948678,\n \"\ acc_norm\": 0.2696078431372549,\n \"acc_norm_stderr\": 0.03114557065948678\n\ \ },\n \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"\ acc\": 0.25316455696202533,\n \"acc_stderr\": 0.028304657943035282,\n \ \ \"acc_norm\": 0.25316455696202533,\n \"acc_norm_stderr\": 0.028304657943035282\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.17040358744394618,\n\ \ \"acc_stderr\": 0.02523459344713618,\n \"acc_norm\": 0.17040358744394618,\n\ \ \"acc_norm_stderr\": 0.02523459344713618\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.22900763358778625,\n \"acc_stderr\": 0.036853466317118506,\n\ \ \"acc_norm\": 0.22900763358778625,\n \"acc_norm_stderr\": 0.036853466317118506\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.371900826446281,\n \"acc_stderr\": 0.044120158066245044,\n \"\ acc_norm\": 0.371900826446281,\n \"acc_norm_stderr\": 0.044120158066245044\n\ \ },\n \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.23148148148148148,\n\ \ \"acc_stderr\": 0.04077494709252626,\n \"acc_norm\": 0.23148148148148148,\n\ \ \"acc_norm_stderr\": 0.04077494709252626\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.3006134969325153,\n \"acc_stderr\": 0.03602511318806771,\n\ \ \"acc_norm\": 0.3006134969325153,\n \"acc_norm_stderr\": 0.03602511318806771\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.24107142857142858,\n\ \ \"acc_stderr\": 0.04059867246952687,\n \"acc_norm\": 0.24107142857142858,\n\ \ \"acc_norm_stderr\": 0.04059867246952687\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.1941747572815534,\n \"acc_stderr\": 0.039166677628225836,\n\ \ \"acc_norm\": 0.1941747572815534,\n \"acc_norm_stderr\": 0.039166677628225836\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.19658119658119658,\n\ \ \"acc_stderr\": 0.02603538609895129,\n \"acc_norm\": 0.19658119658119658,\n\ \ \"acc_norm_stderr\": 0.02603538609895129\n },\n \"harness\|hendrycksTest-medical_genetics\|5\"\ : {\n \"acc\": 0.2,\n \"acc_stderr\": 0.040201512610368445,\n \ \ \"acc_norm\": 0.2,\n \"acc_norm_stderr\": 0.040201512610368445\n \ \ },\n \"harness\|hendrycksTest-miscellaneous\|5\": {\n \"acc\": 0.2707535121328225,\n\ \ \"acc_stderr\": 0.015889888362560486,\n \"acc_norm\": 0.2707535121328225,\n\ \ \"acc_norm_stderr\": 0.015889888362560486\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.29190751445086704,\n \"acc_stderr\": 0.02447699407624734,\n\ \ \"acc_norm\": 0.29190751445086704,\n \"acc_norm_stderr\": 0.02447699407624734\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.24692737430167597,\n\ \ \"acc_stderr\": 0.014422292204808835,\n \"acc_norm\": 0.24692737430167597,\n\ \ \"acc_norm_stderr\": 0.014422292204808835\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.25163398692810457,\n \"acc_stderr\": 0.024848018263875195,\n\ \ \"acc_norm\": 0.25163398692810457,\n \"acc_norm_stderr\": 0.024848018263875195\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.2990353697749196,\n\ \ \"acc_stderr\": 0.026003301117885135,\n \"acc_norm\": 0.2990353697749196,\n\ \ \"acc_norm_stderr\": 0.026003301117885135\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.2932098765432099,\n \"acc_stderr\": 0.02532988817190092,\n\ \ \"acc_norm\": 0.2932098765432099,\n \"acc_norm_stderr\": 0.02532988817190092\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.2624113475177305,\n \"acc_stderr\": 0.02624492034984301,\n \ \ \"acc_norm\": 0.2624113475177305,\n \"acc_norm_stderr\": 0.02624492034984301\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.24837027379400262,\n\ \ \"acc_stderr\": 0.011035212598034501,\n \"acc_norm\": 0.24837027379400262,\n\ \ \"acc_norm_stderr\": 0.011035212598034501\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.3639705882352941,\n \"acc_stderr\": 0.02922719246003203,\n\ \ \"acc_norm\": 0.3639705882352941,\n \"acc_norm_stderr\": 0.02922719246003203\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.2761437908496732,\n \"acc_stderr\": 0.018087276935663137,\n \ \ \"acc_norm\": 0.2761437908496732,\n \"acc_norm_stderr\": 0.018087276935663137\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.20909090909090908,\n\ \ \"acc_stderr\": 0.038950910157241364,\n \"acc_norm\": 0.20909090909090908,\n\ \ \"acc_norm_stderr\": 0.038950910157241364\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.3877551020408163,\n \"acc_stderr\": 0.031192230726795656,\n\ \ \"acc_norm\": 0.3877551020408163,\n \"acc_norm_stderr\": 0.031192230726795656\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.24875621890547264,\n\ \ \"acc_stderr\": 0.030567675938916707,\n \"acc_norm\": 0.24875621890547264,\n\ \ \"acc_norm_stderr\": 0.030567675938916707\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.25,\n \"acc_stderr\": 0.04351941398892446,\n \ \ \"acc_norm\": 0.25,\n \"acc_norm_stderr\": 0.04351941398892446\n \ \ },\n \"harness\|hendrycksTest-virology\|5\": {\n \"acc\": 0.20481927710843373,\n\ \ \"acc_stderr\": 0.03141784291663926,\n \"acc_norm\": 0.20481927710843373,\n\ \ \"acc_norm_stderr\": 0.03141784291663926\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.29239766081871343,\n \"acc_stderr\": 0.034886477134579215,\n\ \ \"acc_norm\": 0.29239766081871343,\n \"acc_norm_stderr\": 0.034886477134579215\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.2178702570379437,\n\ \ \"mc1_stderr\": 0.014450846714123892,\n \"mc2\": 0.47282237996457954,\n\ \ \"mc2_stderr\": 0.016347102378553885\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.5438042620363063,\n \"acc_stderr\": 0.01399845361092432\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.0,\n \"acc_stderr\"\ : 0.0\n }\n}\n```" repo_url: https://huggingface.co/chlee10/T3Q-MSlerp-7Bx2 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: 2024_03_13T03_13_45.913085 path: - '/details_harness\|arc:challenge\|25_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2024-03-13T03-13-45.913085.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '/details_harness\|gsm8k\|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_03_13T03_13_45.913085 path: - '/details_harness\|hellaswag\|10_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-03-13T03-13-45.913085.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '/details_harness\|hendrycksTest-international_law\|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '/details_harness\|hendrycksTest-management\|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '/details_harness\|hendrycksTest-marketing\|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '/details_harness\|hendrycksTest-sociology\|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '/details_harness\|hendrycksTest-virology\|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_03_13T03_13_45.913085 path: - '/details_harness\|truthfulqa:mc\|0_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2024-03-13T03-13-45.913085.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '/details_harness\|winogrande\|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2024-03-13T03-13-45.913085.parquet' - config_name: results data_files: - split: 2024_03_13T03_13_45.913085 path: - results_2024-03-13T03-13-45.913085.parquet - split: latest path: - results_2024-03-13T03-13-45.913085.parquet --- # Dataset Card for Evaluation run of chlee10/T3Q-MSlerp-7Bx2 <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [chlee10/T3Q-MSlerp-7Bx2](https://huggingface.co/chlee10/T3Q-MSlerp-7Bx2) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 63 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 (and is used to compute and display the aggregated 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_chlee10__T3Q-MSlerp-7Bx2", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-03-13T03:13:45.913085](https://huggingface.co/datasets/open-llm-leaderboard/details_chlee10__T3Q-MSlerp-7Bx2/blob/main/results_2024-03-13T03-13-45.913085.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": 0.2589646771433041, "acc_stderr": 0.030862711301155407, "acc_norm": 0.2594822816717954, "acc_norm_stderr": 0.03168729202498976, "mc1": 0.2178702570379437, "mc1_stderr": 0.014450846714123892, "mc2": 0.47282237996457954, "mc2_stderr": 0.016347102378553885 }, "harness\|arc:challenge\|25": { "acc": 0.22781569965870307, "acc_stderr": 0.01225670860232692, "acc_norm": 0.2841296928327645, "acc_norm_stderr": 0.013179442447653886 }, "harness\|hellaswag\|10": { "acc": 0.2545309699263095, "acc_stderr": 0.0043470700195274775, "acc_norm": 0.2546305516829317, "acc_norm_stderr": 0.004347629889040943 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness\|hendrycksTest-anatomy\|5": { "acc": 0.3333333333333333, "acc_stderr": 0.04072314811876837, "acc_norm": 0.3333333333333333, "acc_norm_stderr": 0.04072314811876837 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.3026315789473684, "acc_stderr": 0.037385206761196665, "acc_norm": 0.3026315789473684, "acc_norm_stderr": 0.037385206761196665 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.17, "acc_stderr": 0.03775251680686371, "acc_norm": 0.17, "acc_norm_stderr": 0.03775251680686371 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.2188679245283019, "acc_stderr": 0.02544786382510861, "acc_norm": 0.2188679245283019, "acc_norm_stderr": 0.02544786382510861 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.2222222222222222, "acc_stderr": 0.03476590104304134, "acc_norm": 0.2222222222222222, "acc_norm_stderr": 0.03476590104304134 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.18, "acc_stderr": 0.03861229196653694, "acc_norm": 0.18, "acc_norm_stderr": 0.03861229196653694 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.26, "acc_stderr": 0.0440844002276808, "acc_norm": 0.26, "acc_norm_stderr": 0.0440844002276808 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.25, "acc_stderr": 0.04351941398892446, "acc_norm": 0.25, "acc_norm_stderr": 0.04351941398892446 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.26011560693641617, "acc_stderr": 0.033450369167889925, "acc_norm": 0.26011560693641617, "acc_norm_stderr": 0.033450369167889925 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.21568627450980393, "acc_stderr": 0.04092563958237655, "acc_norm": 0.21568627450980393, "acc_norm_stderr": 0.04092563958237655 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.20425531914893616, "acc_stderr": 0.026355158413349424, "acc_norm": 0.20425531914893616, "acc_norm_stderr": 0.026355158413349424 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.2807017543859649, "acc_stderr": 0.04227054451232199, "acc_norm": 0.2807017543859649, "acc_norm_stderr": 0.04227054451232199 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.296551724137931, "acc_stderr": 0.03806142687309993, "acc_norm": 0.296551724137931, "acc_norm_stderr": 0.03806142687309993 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.26455026455026454, "acc_stderr": 0.02271746789770861, "acc_norm": 0.26455026455026454, "acc_norm_stderr": 0.02271746789770861 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.15079365079365079, "acc_stderr": 0.03200686497287392, "acc_norm": 0.15079365079365079, "acc_norm_stderr": 0.03200686497287392 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.33, "acc_stderr": 0.04725815626252604, "acc_norm": 0.33, "acc_norm_stderr": 0.04725815626252604 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.3193548387096774, "acc_stderr": 0.02652270967466777, "acc_norm": 0.3193548387096774, "acc_norm_stderr": 0.02652270967466777 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.31527093596059114, "acc_stderr": 0.03269080871970186, "acc_norm": 0.31527093596059114, "acc_norm_stderr": 0.03269080871970186 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.33, "acc_stderr": 0.047258156262526045, "acc_norm": 0.33, "acc_norm_stderr": 0.047258156262526045 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.28484848484848485, "acc_stderr": 0.035243908445117836, "acc_norm": 0.28484848484848485, "acc_norm_stderr": 0.035243908445117836 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.2222222222222222, "acc_stderr": 0.02962022787479049, "acc_norm": 0.2222222222222222, "acc_norm_stderr": 0.02962022787479049 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.22797927461139897, "acc_stderr": 0.030276909945178256, "acc_norm": 0.22797927461139897, "acc_norm_stderr": 0.030276909945178256 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.2205128205128205, "acc_stderr": 0.021020672680827912, "acc_norm": 0.2205128205128205, "acc_norm_stderr": 0.021020672680827912 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.26296296296296295, "acc_stderr": 0.02684205787383371, "acc_norm": 0.26296296296296295, "acc_norm_stderr": 0.02684205787383371 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.21008403361344538, "acc_stderr": 0.026461398717471874, "acc_norm": 0.21008403361344538, "acc_norm_stderr": 0.026461398717471874 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.271523178807947, "acc_stderr": 0.03631329803969653, "acc_norm": 0.271523178807947, "acc_norm_stderr": 0.03631329803969653 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.28807339449541286, "acc_stderr": 0.01941644589263602, "acc_norm": 0.28807339449541286, "acc_norm_stderr": 0.01941644589263602 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.21296296296296297, "acc_stderr": 0.027920963147993656, "acc_norm": 0.21296296296296297, "acc_norm_stderr": 0.027920963147993656 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.2696078431372549, "acc_stderr": 0.03114557065948678, "acc_norm": 0.2696078431372549, "acc_norm_stderr": 0.03114557065948678 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.25316455696202533, "acc_stderr": 0.028304657943035282, "acc_norm": 0.25316455696202533, "acc_norm_stderr": 0.028304657943035282 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.17040358744394618, "acc_stderr": 0.02523459344713618, "acc_norm": 0.17040358744394618, "acc_norm_stderr": 0.02523459344713618 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.22900763358778625, "acc_stderr": 0.036853466317118506, "acc_norm": 0.22900763358778625, "acc_norm_stderr": 0.036853466317118506 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.371900826446281, "acc_stderr": 0.044120158066245044, "acc_norm": 0.371900826446281, "acc_norm_stderr": 0.044120158066245044 }, "harness\|hendrycksTest-jurisprudence\|5": { "acc": 0.23148148148148148, "acc_stderr": 0.04077494709252626, "acc_norm": 0.23148148148148148, "acc_norm_stderr": 0.04077494709252626 }, "harness\|hendrycksTest-logical_fallacies\|5": { "acc": 0.3006134969325153, "acc_stderr": 0.03602511318806771, "acc_norm": 0.3006134969325153, "acc_norm_stderr": 0.03602511318806771 }, "harness\|hendrycksTest-machine_learning\|5": { "acc": 0.24107142857142858, "acc_stderr": 0.04059867246952687, "acc_norm": 0.24107142857142858, "acc_norm_stderr": 0.04059867246952687 }, "harness\|hendrycksTest-management\|5": { "acc": 0.1941747572815534, "acc_stderr": 0.039166677628225836, "acc_norm": 0.1941747572815534, "acc_norm_stderr": 0.039166677628225836 }, "harness\|hendrycksTest-marketing\|5": { "acc": 0.19658119658119658, "acc_stderr": 0.02603538609895129, "acc_norm": 0.19658119658119658, "acc_norm_stderr": 0.02603538609895129 }, "harness\|hendrycksTest-medical_genetics\|5": { "acc": 0.2, "acc_stderr": 0.040201512610368445, "acc_norm": 0.2, "acc_norm_stderr": 0.040201512610368445 }, "harness\|hendrycksTest-miscellaneous\|5": { "acc": 0.2707535121328225, "acc_stderr": 0.015889888362560486, "acc_norm": 0.2707535121328225, "acc_norm_stderr": 0.015889888362560486 }, "harness\|hendrycksTest-moral_disputes\|5": { "acc": 0.29190751445086704, "acc_stderr": 0.02447699407624734, "acc_norm": 0.29190751445086704, "acc_norm_stderr": 0.02447699407624734 }, "harness\|hendrycksTest-moral_scenarios\|5": { "acc": 0.24692737430167597, "acc_stderr": 0.014422292204808835, "acc_norm": 0.24692737430167597, "acc_norm_stderr": 0.014422292204808835 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.25163398692810457, "acc_stderr": 0.024848018263875195, "acc_norm": 0.25163398692810457, "acc_norm_stderr": 0.024848018263875195 }, "harness\|hendrycksTest-philosophy\|5": { "acc": 0.2990353697749196, "acc_stderr": 0.026003301117885135, "acc_norm": 0.2990353697749196, "acc_norm_stderr": 0.026003301117885135 }, "harness\|hendrycksTest-prehistory\|5": { "acc": 0.2932098765432099, "acc_stderr": 0.02532988817190092, "acc_norm": 0.2932098765432099, "acc_norm_stderr": 0.02532988817190092 }, "harness\|hendrycksTest-professional_accounting\|5": { "acc": 0.2624113475177305, "acc_stderr": 0.02624492034984301, "acc_norm": 0.2624113475177305, "acc_norm_stderr": 0.02624492034984301 }, "harness\|hendrycksTest-professional_law\|5": { "acc": 0.24837027379400262, "acc_stderr": 0.011035212598034501, "acc_norm": 0.24837027379400262, "acc_norm_stderr": 0.011035212598034501 }, "harness\|hendrycksTest-professional_medicine\|5": { "acc": 0.3639705882352941, "acc_stderr": 0.02922719246003203, "acc_norm": 0.3639705882352941, "acc_norm_stderr": 0.02922719246003203 }, "harness\|hendrycksTest-professional_psychology\|5": { "acc": 0.2761437908496732, "acc_stderr": 0.018087276935663137, "acc_norm": 0.2761437908496732, "acc_norm_stderr": 0.018087276935663137 }, "harness\|hendrycksTest-public_relations\|5": { "acc": 0.20909090909090908, "acc_stderr": 0.038950910157241364, "acc_norm": 0.20909090909090908, "acc_norm_stderr": 0.038950910157241364 }, "harness\|hendrycksTest-security_studies\|5": { "acc": 0.3877551020408163, "acc_stderr": 0.031192230726795656, "acc_norm": 0.3877551020408163, "acc_norm_stderr": 0.031192230726795656 }, "harness\|hendrycksTest-sociology\|5": { "acc": 0.24875621890547264, "acc_stderr": 0.030567675938916707, "acc_norm": 0.24875621890547264, "acc_norm_stderr": 0.030567675938916707 }, "harness\|hendrycksTest-us_foreign_policy\|5": { "acc": 0.25, "acc_stderr": 0.04351941398892446, "acc_norm": 0.25, "acc_norm_stderr": 0.04351941398892446 }, "harness\|hendrycksTest-virology\|5": { "acc": 0.20481927710843373, "acc_stderr": 0.03141784291663926, "acc_norm": 0.20481927710843373, "acc_norm_stderr": 0.03141784291663926 }, "harness\|hendrycksTest-world_religions\|5": { "acc": 0.29239766081871343, "acc_stderr": 0.034886477134579215, "acc_norm": 0.29239766081871343, "acc_norm_stderr": 0.034886477134579215 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.2178702570379437, "mc1_stderr": 0.014450846714123892, "mc2": 0.47282237996457954, "mc2_stderr": 0.016347102378553885 }, "harness\|winogrande\|5": { "acc": 0.5438042620363063, "acc_stderr": 0.01399845361092432 }, "harness\|gsm8k\|5": { "acc": 0.0, "acc_stderr": 0.0 } } ``` ## 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]
CyberHarem/bibeak_arknights	--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of bibeak/バイビーク/柏喙 (Arknights) This is the dataset of bibeak/バイビーク/柏喙 (Arknights), containing 23 images and their tags. The core tags of this character are `long_hair, breasts, hair_ornament, grey_hair, hair_flower, white_hair`, which are pruned in this dataset. Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)). ## List of Packages \| Name \| Images \| Size \| Download \| Type \| Description \| \|:-----------------\|---------:\|:----------\|:------------------------------------------------------------------------------------------------------------------\|:-----------\|:---------------------------------------------------------------------\| \| raw \| 23 \| 45.04 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/bibeak_arknights/resolve/main/dataset-raw.zip) \| Waifuc-Raw \| Raw data with meta information (min edge aligned to 1400 if larger). \| \| 1200 \| 23 \| 37.47 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/bibeak_arknights/resolve/main/dataset-1200.zip) \| IMG+TXT \| dataset with the shorter side not exceeding 1200 pixels. \| \| stage3-p480-1200 \| 56 \| 71.16 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/bibeak_arknights/resolve/main/dataset-stage3-p480-1200.zip) \| IMG+TXT \| 3-stage cropped dataset with the area not less than 480x480 pixels. \| ### Load Raw Dataset with Waifuc We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code ```python import os import zipfile from huggingface_hub import hf_hub_download from waifuc.source import LocalSource # download raw archive file zip_file = hf_hub_download( repo_id='CyberHarem/bibeak_arknights', repo_type='dataset', filename='dataset-raw.zip', ) # extract files to your directory dataset_dir = 'dataset_dir' os.makedirs(dataset_dir, exist_ok=True) with zipfile.ZipFile(zip_file, 'r') as zf: zf.extractall(dataset_dir) # load the dataset with waifuc source = LocalSource(dataset_dir) for item in source: print(item.image, item.meta['filename'], item.meta['tags']) ``` ## List of Clusters List of tag clustering result, maybe some outfits can be mined here. ### Raw Text Version \| # \| Samples \| Img-1 \| Img-2 \| Img-3 \| Img-4 \| Img-5 \| Tags \| \|----:\|----------:\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\| \| 0 \| 5 \| ![](samples/0/clu0-sample0.png) \| ![](samples/0/clu0-sample1.png) \| ![](samples/0/clu0-sample2.png) \| ![](samples/0/clu0-sample3.png) \| ![](samples/0/clu0-sample4.png) \| 1girl, dress, frills, looking_at_viewer, solo, white_gloves, bare_shoulders, blue_rose, closed_mouth, feather_hair, green_eyes, large_breasts, wings, yellow_eyes, character_name, dated, feathers, medium_breasts, off_shoulder, simple_background, sitting \| \| 1 \| 6 \| ![](samples/1/clu1-sample0.png) \| ![](samples/1/clu1-sample1.png) \| ![](samples/1/clu1-sample2.png) \| ![](samples/1/clu1-sample3.png) \| ![](samples/1/clu1-sample4.png) \| 1girl, looking_at_viewer, solo, dress, frills, white_gloves, skirt, blue_flower, closed_mouth, grey_eyes, hair_bow, holding_sword, rose, white_background \| ### Table Version \| # \| Samples \| Img-1 \| Img-2 \| Img-3 \| Img-4 \| Img-5 \| 1girl \| dress \| frills \| looking_at_viewer \| solo \| white_gloves \| bare_shoulders \| blue_rose \| closed_mouth \| feather_hair \| green_eyes \| large_breasts \| wings \| yellow_eyes \| character_name \| dated \| feathers \| medium_breasts \| off_shoulder \| simple_background \| sitting \| skirt \| blue_flower \| grey_eyes \| hair_bow \| holding_sword \| rose \| white_background \| \|----:\|----------:\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------\|:--------\|:---------\|:--------------------\|:-------\|:---------------\|:-----------------\|:------------\|:---------------\|:---------------\|:-------------\|:----------------\|:--------\|:--------------\|:-----------------\|:--------\|:-----------\|:-----------------\|:---------------\|:--------------------\|:----------\|:--------\|:--------------\|:------------\|:-----------\|:----------------\|:-------\|:-------------------\| \| 0 \| 5 \| ![](samples/0/clu0-sample0.png) \| ![](samples/0/clu0-sample1.png) \| ![](samples/0/clu0-sample2.png) \| ![](samples/0/clu0-sample3.png) \| ![](samples/0/clu0-sample4.png) \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| \| \| \| \| \| \| \| \| 1 \| 6 \| ![](samples/1/clu1-sample0.png) \| ![](samples/1/clu1-sample1.png) \| ![](samples/1/clu1-sample2.png) \| ![](samples/1/clu1-sample3.png) \| ![](samples/1/clu1-sample4.png) \| X \| X \| X \| X \| X \| X \| \| \| X \| \| \| \| \| \| \| \| \| \| \| \| \| X \| X \| X \| X \| X \| X \| X \|
andresaparicio/apa	--- license: openrail ---
amitrajitbh1/communities_unproc	--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: author dtype: string - name: body dtype: string - name: normalizedBody dtype: string - name: subreddit dtype: string - name: subreddit_id dtype: string - name: id dtype: string - name: content dtype: string - name: summary dtype: string splits: - name: train num_bytes: 2450236670.538612 num_examples: 497952 download_size: 1497430442 dataset_size: 2450236670.538612 --- # Dataset Card for "communities_unproc" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
pvduy/ultrafeedback-trans-jp-cleaned-v1	--- 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 splits: - name: train num_bytes: 246493971 num_examples: 56263 - name: test num_bytes: 5557339 num_examples: 1000 download_size: 122204740 dataset_size: 252051310 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---
suhan81/test01	--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 5826 num_examples: 39 download_size: 2572 dataset_size: 5826 configs: - config_name: default data_files: - split: train path: data/train-* ---
LahiruLowe/niv2_filtered_2pertask	--- dataset_info: features: - name: inputs dtype: string - name: targets dtype: string - name: task_source dtype: string - name: task_name dtype: string - name: template_type dtype: string splits: - name: train num_bytes: 2918226 num_examples: 3112 download_size: 1628617 dataset_size: 2918226 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "niv2_filtered_2pertask" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
freshpearYoon/train_free_40	--- dataset_info: features: - name: input_features sequence: sequence: float32 - name: labels sequence: int64 splits: - name: train num_bytes: 9604569160 num_examples: 10000 download_size: 1229689634 dataset_size: 9604569160 configs: - config_name: default data_files: - split: train path: data/train-* ---
tdh87/MIxed40real60aiGenerated	--- license: mit ---
Falah/chapter9_0_prompts	--- dataset_info: features: - name: prompts dtype: string splits: - name: train num_bytes: 2878 num_examples: 10 download_size: 4316 dataset_size: 2878 --- # Dataset Card for "chapter9_0_prompts" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
taylorbobaylor/tay-stack-v1	--- dataset_info: features: - name: repo_id dtype: string - name: file_path dtype: string - name: content dtype: string - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 628428 num_examples: 66 download_size: 231587 dataset_size: 628428 configs: - config_name: default data_files: - split: train path: data/train-* ---
wltjr1007/DomainNet	--- language: - en license: other size_categories: - 100K<n<1M task_categories: - image-classification - zero-shot-image-classification task_ids: - multi-class-image-classification - multi-class-classification pretty_name: DomainNet dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': aircraft_carrier '1': airplane '2': alarm_clock '3': ambulance '4': angel '5': animal_migration '6': ant '7': anvil '8': apple '9': arm '10': asparagus '11': axe '12': backpack '13': banana '14': bandage '15': barn '16': baseball '17': baseball_bat '18': basket '19': basketball '20': bat '21': bathtub '22': beach '23': bear '24': beard '25': bed '26': bee '27': belt '28': bench '29': bicycle '30': binoculars '31': bird '32': birthday_cake '33': blackberry '34': blueberry '35': book '36': boomerang '37': bottlecap '38': bowtie '39': bracelet '40': brain '41': bread '42': bridge '43': broccoli '44': broom '45': bucket '46': bulldozer '47': bus '48': bush '49': butterfly '50': cactus '51': cake '52': calculator '53': calendar '54': camel '55': camera '56': camouflage '57': campfire '58': candle '59': cannon '60': canoe '61': car '62': carrot '63': castle '64': cat '65': ceiling_fan '66': cello '67': cell_phone '68': chair '69': chandelier '70': church '71': circle '72': clarinet '73': clock '74': cloud '75': coffee_cup '76': compass '77': computer '78': cookie '79': cooler '80': couch '81': cow '82': crab '83': crayon '84': crocodile '85': crown '86': cruise_ship '87': cup '88': diamond '89': dishwasher '90': diving_board '91': dog '92': dolphin '93': donut '94': door '95': dragon '96': dresser '97': drill '98': drums '99': duck '100': dumbbell '101': ear '102': elbow '103': elephant '104': envelope '105': eraser '106': eye '107': eyeglasses '108': face '109': fan '110': feather '111': fence '112': finger '113': fire_hydrant '114': fireplace '115': firetruck '116': fish '117': flamingo '118': flashlight '119': flip_flops '120': floor_lamp '121': flower '122': flying_saucer '123': foot '124': fork '125': frog '126': frying_pan '127': garden '128': garden_hose '129': giraffe '130': goatee '131': golf_club '132': grapes '133': grass '134': guitar '135': hamburger '136': hammer '137': hand '138': harp '139': hat '140': headphones '141': hedgehog '142': helicopter '143': helmet '144': hexagon '145': hockey_puck '146': hockey_stick '147': horse '148': hospital '149': hot_air_balloon '150': hot_dog '151': hot_tub '152': hourglass '153': house '154': house_plant '155': hurricane '156': ice_cream '157': jacket '158': jail '159': kangaroo '160': key '161': keyboard '162': knee '163': knife '164': ladder '165': lantern '166': laptop '167': leaf '168': leg '169': light_bulb '170': lighter '171': lighthouse '172': lightning '173': line '174': lion '175': lipstick '176': lobster '177': lollipop '178': mailbox '179': map '180': marker '181': matches '182': megaphone '183': mermaid '184': microphone '185': microwave '186': monkey '187': moon '188': mosquito '189': motorbike '190': mountain '191': mouse '192': moustache '193': mouth '194': mug '195': mushroom '196': nail '197': necklace '198': nose '199': ocean '200': octagon '201': octopus '202': onion '203': oven '204': owl '205': paintbrush '206': paint_can '207': palm_tree '208': panda '209': pants '210': paper_clip '211': parachute '212': parrot '213': passport '214': peanut '215': pear '216': peas '217': pencil '218': penguin '219': piano '220': pickup_truck '221': picture_frame '222': pig '223': pillow '224': pineapple '225': pizza '226': pliers '227': police_car '228': pond '229': pool '230': popsicle '231': postcard '232': potato '233': power_outlet '234': purse '235': rabbit '236': raccoon '237': radio '238': rain '239': rainbow '240': rake '241': remote_control '242': rhinoceros '243': rifle '244': river '245': roller_coaster '246': rollerskates '247': sailboat '248': sandwich '249': saw '250': saxophone '251': school_bus '252': scissors '253': scorpion '254': screwdriver '255': sea_turtle '256': see_saw '257': shark '258': sheep '259': shoe '260': shorts '261': shovel '262': sink '263': skateboard '264': skull '265': skyscraper '266': sleeping_bag '267': smiley_face '268': snail '269': snake '270': snorkel '271': snowflake '272': snowman '273': soccer_ball '274': sock '275': speedboat '276': spider '277': spoon '278': spreadsheet '279': square '280': squiggle '281': squirrel '282': stairs '283': star '284': steak '285': stereo '286': stethoscope '287': stitches '288': stop_sign '289': stove '290': strawberry '291': streetlight '292': string_bean '293': submarine '294': suitcase '295': sun '296': swan '297': sweater '298': swing_set '299': sword '300': syringe '301': table '302': teapot '303': teddy-bear '304': telephone '305': television '306': tennis_racquet '307': tent '308': The_Eiffel_Tower '309': The_Great_Wall_of_China '310': The_Mona_Lisa '311': tiger '312': toaster '313': toe '314': toilet '315': tooth '316': toothbrush '317': toothpaste '318': tornado '319': tractor '320': traffic_light '321': train '322': tree '323': triangle '324': trombone '325': truck '326': trumpet '327': t-shirt '328': umbrella '329': underwear '330': van '331': vase '332': violin '333': washing_machine '334': watermelon '335': waterslide '336': whale '337': wheel '338': windmill '339': wine_bottle '340': wine_glass '341': wristwatch '342': yoga '343': zebra '344': zigzag - name: domain dtype: class_label: names: '0': clipart '1': infograph '2': painting '3': quickdraw '4': real '5': sketch - name: image_path dtype: string splits: - name: train num_bytes: 1098474093.3600001 num_examples: 409832 - name: test num_bytes: 471724034.589 num_examples: 176743 download_size: 18521436207 dataset_size: 1570198127.9490001 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* --- Data downloaded from [WILDS](https://wilds.stanford.edu/) ([Download](https://wilds.stanford.edu/downloads), [paper](https://arxiv.org/abs/1812.01754), [project](https://ai.bu.edu/M3SDA/)). This dataset contains some copyrighted material whose use has not been specifically authorized by the copyright owners. In an effort to advance scientific research, we make this material available for academic research. We believe this constitutes a fair use of any such copyrighted material as provided for in section 107 of the US Copyright Law. In accordance with Title 17 U.S.C. Section 107, the material on this site is distributed without profit for non-commercial research and educational purposes. For more information on fair use please click [here](https://www.law.cornell.edu/uscode/text/17/107). If you wish to use copyrighted material on this site or in our dataset for purposes of your own that go beyond non-commercial research and academic purposes, you must obtain permission directly from the copyright owner. (adapted from the [official DomainNet website](https://ai.bu.edu/M3SDA/#refs))
Back-up/chung-khoan-demo-p6	--- dataset_info: features: [] splits: - name: train num_bytes: 0 num_examples: 0 download_size: 324 dataset_size: 0 configs: - config_name: default data_files: - split: train path: data/train-* ---
EgilKarlsen/BGL_RoBERTa_Baseline	--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* dataset_info: features: - name: '0' dtype: float32 - name: '1' dtype: float32 - name: '2' dtype: float32 - name: '3' dtype: float32 - name: '4' dtype: float32 - name: '5' dtype: float32 - name: '6' dtype: float32 - name: '7' dtype: float32 - name: '8' dtype: float32 - name: '9' dtype: float32 - name: '10' dtype: float32 - name: '11' dtype: float32 - name: '12' dtype: float32 - name: '13' dtype: float32 - name: '14' dtype: float32 - name: '15' dtype: float32 - name: '16' dtype: float32 - name: '17' dtype: float32 - name: '18' dtype: float32 - name: '19' dtype: float32 - name: '20' dtype: float32 - name: '21' dtype: float32 - name: '22' dtype: float32 - name: '23' dtype: float32 - name: '24' dtype: float32 - name: '25' dtype: float32 - name: '26' dtype: float32 - name: '27' dtype: float32 - name: '28' dtype: float32 - name: '29' dtype: float32 - name: '30' dtype: float32 - name: '31' dtype: float32 - name: '32' dtype: float32 - name: '33' dtype: float32 - name: '34' dtype: float32 - name: '35' dtype: float32 - name: '36' dtype: float32 - name: '37' dtype: float32 - name: '38' dtype: float32 - name: '39' dtype: float32 - name: '40' dtype: float32 - name: '41' dtype: float32 - name: '42' dtype: float32 - name: '43' dtype: float32 - name: '44' dtype: float32 - name: '45' dtype: float32 - name: '46' dtype: float32 - name: '47' dtype: float32 - name: '48' dtype: float32 - name: '49' dtype: float32 - name: '50' dtype: float32 - name: '51' dtype: float32 - name: '52' dtype: float32 - name: '53' dtype: float32 - name: '54' dtype: float32 - name: '55' dtype: float32 - name: '56' dtype: float32 - name: '57' dtype: float32 - name: '58' dtype: float32 - name: '59' dtype: float32 - name: '60' dtype: float32 - name: '61' dtype: float32 - name: '62' dtype: float32 - name: '63' dtype: float32 - name: '64' dtype: float32 - name: '65' dtype: float32 - name: '66' dtype: float32 - name: '67' dtype: float32 - name: '68' dtype: float32 - name: '69' dtype: float32 - name: '70' dtype: float32 - name: '71' dtype: float32 - name: '72' dtype: float32 - name: '73' dtype: float32 - name: '74' dtype: float32 - name: '75' dtype: float32 - name: '76' dtype: float32 - name: '77' dtype: float32 - name: '78' dtype: float32 - name: '79' dtype: float32 - name: '80' dtype: float32 - name: '81' dtype: float32 - name: '82' dtype: float32 - name: '83' dtype: float32 - name: '84' dtype: float32 - name: '85' dtype: float32 - name: '86' dtype: float32 - name: '87' dtype: float32 - name: '88' dtype: float32 - name: '89' dtype: float32 - name: '90' dtype: float32 - name: '91' dtype: float32 - name: '92' dtype: float32 - name: '93' dtype: float32 - name: '94' dtype: float32 - name: '95' dtype: float32 - name: '96' dtype: float32 - name: '97' dtype: float32 - name: '98' dtype: float32 - name: '99' dtype: float32 - name: '100' dtype: float32 - name: '101' dtype: float32 - name: '102' dtype: float32 - name: '103' dtype: float32 - name: '104' dtype: float32 - name: '105' dtype: float32 - name: '106' dtype: float32 - name: '107' dtype: float32 - name: '108' dtype: float32 - name: '109' dtype: float32 - name: '110' dtype: float32 - name: '111' dtype: float32 - name: '112' dtype: float32 - name: '113' dtype: float32 - name: '114' dtype: float32 - name: '115' dtype: float32 - name: '116' dtype: float32 - name: '117' dtype: float32 - name: '118' dtype: float32 - name: '119' dtype: float32 - name: '120' dtype: float32 - name: '121' dtype: float32 - name: '122' dtype: float32 - name: '123' dtype: float32 - name: '124' dtype: float32 - name: '125' dtype: float32 - name: '126' dtype: float32 - name: '127' dtype: float32 - name: '128' dtype: float32 - name: '129' dtype: float32 - name: '130' dtype: float32 - name: '131' dtype: float32 - name: '132' dtype: float32 - name: '133' dtype: float32 - name: '134' dtype: float32 - name: '135' dtype: float32 - name: '136' dtype: float32 - name: '137' dtype: float32 - name: '138' dtype: float32 - name: '139' dtype: float32 - name: '140' dtype: float32 - name: '141' dtype: float32 - name: '142' dtype: float32 - name: '143' dtype: float32 - name: '144' dtype: float32 - name: '145' dtype: float32 - name: '146' dtype: float32 - name: '147' dtype: float32 - name: '148' dtype: float32 - name: '149' dtype: float32 - name: '150' dtype: float32 - name: '151' dtype: float32 - name: '152' dtype: float32 - name: '153' dtype: float32 - name: '154' dtype: float32 - name: '155' dtype: float32 - name: '156' dtype: float32 - name: '157' dtype: float32 - name: '158' dtype: float32 - name: '159' dtype: float32 - name: '160' dtype: float32 - name: '161' dtype: float32 - name: '162' dtype: float32 - name: '163' dtype: float32 - name: '164' dtype: float32 - name: '165' dtype: float32 - name: '166' dtype: float32 - name: '167' dtype: float32 - name: '168' dtype: float32 - name: '169' dtype: float32 - name: '170' dtype: float32 - name: '171' dtype: float32 - name: '172' dtype: float32 - name: '173' dtype: float32 - name: '174' dtype: float32 - name: '175' dtype: float32 - name: '176' dtype: float32 - name: '177' dtype: float32 - name: '178' dtype: float32 - name: '179' dtype: float32 - name: '180' dtype: float32 - name: '181' dtype: float32 - name: '182' dtype: float32 - name: '183' dtype: float32 - name: '184' dtype: float32 - name: '185' dtype: float32 - name: '186' dtype: float32 - name: '187' dtype: float32 - name: '188' dtype: float32 - name: '189' dtype: float32 - name: '190' dtype: float32 - name: '191' dtype: float32 - name: '192' dtype: float32 - name: '193' dtype: float32 - name: '194' dtype: float32 - name: '195' dtype: float32 - name: '196' dtype: float32 - name: '197' dtype: float32 - name: '198' dtype: float32 - name: '199' dtype: float32 - name: '200' dtype: float32 - name: '201' dtype: float32 - name: '202' dtype: float32 - name: '203' dtype: float32 - name: '204' dtype: float32 - name: '205' dtype: float32 - name: '206' dtype: float32 - name: '207' dtype: float32 - name: '208' dtype: float32 - name: '209' dtype: float32 - name: '210' dtype: float32 - name: '211' dtype: float32 - name: '212' dtype: float32 - name: '213' dtype: float32 - name: '214' dtype: float32 - name: '215' dtype: float32 - name: '216' dtype: float32 - name: '217' dtype: float32 - name: '218' dtype: float32 - name: '219' dtype: float32 - name: '220' dtype: float32 - name: '221' dtype: float32 - name: '222' dtype: float32 - name: '223' dtype: float32 - name: '224' dtype: float32 - name: '225' dtype: float32 - name: '226' dtype: float32 - name: '227' dtype: float32 - name: '228' dtype: float32 - name: '229' dtype: float32 - name: '230' dtype: float32 - name: '231' dtype: float32 - name: '232' dtype: float32 - name: '233' dtype: float32 - name: '234' dtype: float32 - name: '235' dtype: float32 - name: '236' dtype: float32 - name: '237' dtype: float32 - name: '238' dtype: float32 - name: '239' dtype: float32 - name: '240' dtype: float32 - name: '241' dtype: float32 - name: '242' dtype: float32 - name: '243' dtype: float32 - name: '244' dtype: float32 - name: '245' dtype: float32 - name: '246' dtype: float32 - name: '247' dtype: float32 - name: '248' dtype: float32 - name: '249' dtype: float32 - name: '250' dtype: float32 - name: '251' dtype: float32 - name: '252' dtype: float32 - name: '253' dtype: float32 - name: '254' dtype: float32 - name: '255' dtype: float32 - name: '256' dtype: float32 - name: '257' dtype: float32 - name: '258' dtype: float32 - name: '259' dtype: float32 - name: '260' dtype: float32 - name: '261' dtype: float32 - name: '262' dtype: float32 - name: '263' dtype: float32 - name: '264' dtype: float32 - name: '265' dtype: float32 - name: '266' dtype: float32 - name: '267' dtype: float32 - name: '268' dtype: float32 - name: '269' dtype: float32 - name: '270' dtype: float32 - name: '271' dtype: float32 - name: '272' dtype: float32 - name: '273' dtype: float32 - name: '274' dtype: float32 - name: '275' dtype: float32 - name: '276' dtype: float32 - name: '277' dtype: float32 - name: '278' dtype: float32 - name: '279' dtype: float32 - name: '280' dtype: float32 - name: '281' dtype: float32 - name: '282' dtype: float32 - name: '283' dtype: float32 - name: '284' dtype: float32 - name: '285' dtype: float32 - name: '286' dtype: float32 - name: '287' dtype: float32 - name: '288' dtype: float32 - name: '289' dtype: float32 - name: '290' dtype: float32 - name: '291' dtype: float32 - name: '292' dtype: float32 - name: '293' dtype: float32 - name: '294' dtype: float32 - name: '295' dtype: float32 - name: '296' dtype: float32 - name: '297' dtype: float32 - name: '298' dtype: float32 - name: '299' dtype: float32 - name: '300' dtype: float32 - name: '301' dtype: float32 - name: '302' dtype: float32 - name: '303' dtype: float32 - name: '304' dtype: float32 - name: '305' dtype: float32 - name: '306' dtype: float32 - name: '307' dtype: float32 - name: '308' dtype: float32 - name: '309' dtype: float32 - name: '310' dtype: float32 - name: '311' dtype: float32 - name: '312' dtype: float32 - name: '313' dtype: float32 - name: '314' dtype: float32 - name: '315' dtype: float32 - name: '316' dtype: float32 - name: '317' dtype: float32 - name: '318' dtype: float32 - name: '319' dtype: float32 - name: '320' dtype: float32 - name: '321' dtype: float32 - name: '322' dtype: float32 - name: '323' dtype: float32 - name: '324' dtype: float32 - name: '325' dtype: float32 - name: '326' dtype: float32 - name: '327' dtype: float32 - name: '328' dtype: float32 - name: '329' dtype: float32 - name: '330' dtype: float32 - name: '331' dtype: float32 - name: '332' dtype: float32 - name: '333' dtype: float32 - name: '334' dtype: float32 - name: '335' dtype: float32 - name: '336' dtype: float32 - name: '337' dtype: float32 - name: '338' dtype: float32 - name: '339' dtype: float32 - name: '340' dtype: float32 - name: '341' dtype: float32 - name: '342' dtype: float32 - name: '343' dtype: float32 - name: '344' dtype: float32 - name: '345' dtype: float32 - name: '346' dtype: float32 - name: '347' dtype: float32 - name: '348' dtype: float32 - name: '349' dtype: float32 - name: '350' dtype: float32 - name: '351' dtype: float32 - name: '352' dtype: float32 - name: '353' dtype: float32 - name: '354' dtype: float32 - name: '355' dtype: float32 - name: '356' dtype: float32 - name: '357' dtype: float32 - name: '358' dtype: float32 - name: '359' dtype: float32 - name: '360' dtype: float32 - name: '361' dtype: float32 - name: '362' dtype: float32 - name: '363' dtype: float32 - name: '364' dtype: float32 - name: '365' dtype: float32 - name: '366' dtype: float32 - name: '367' dtype: float32 - name: '368' dtype: float32 - name: '369' dtype: float32 - name: '370' dtype: float32 - name: '371' dtype: float32 - name: '372' dtype: float32 - name: '373' dtype: float32 - name: '374' dtype: float32 - name: '375' dtype: float32 - name: '376' dtype: float32 - name: '377' dtype: float32 - name: '378' dtype: float32 - name: '379' dtype: float32 - name: '380' dtype: float32 - name: '381' dtype: float32 - name: '382' dtype: float32 - name: '383' dtype: float32 - name: '384' dtype: float32 - name: '385' dtype: float32 - name: '386' dtype: float32 - name: '387' dtype: float32 - name: '388' dtype: float32 - name: '389' dtype: float32 - name: '390' dtype: float32 - name: '391' dtype: float32 - name: '392' dtype: float32 - name: '393' dtype: float32 - name: '394' dtype: float32 - name: '395' dtype: float32 - name: '396' dtype: float32 - name: '397' dtype: float32 - name: '398' dtype: float32 - name: '399' dtype: float32 - name: '400' dtype: float32 - name: '401' dtype: float32 - name: '402' dtype: float32 - name: '403' dtype: float32 - name: '404' dtype: float32 - name: '405' dtype: float32 - name: '406' dtype: float32 - name: '407' dtype: float32 - name: '408' dtype: float32 - name: '409' dtype: float32 - name: '410' dtype: float32 - name: '411' dtype: float32 - name: '412' dtype: float32 - name: '413' dtype: float32 - name: '414' dtype: float32 - name: '415' dtype: float32 - name: '416' dtype: float32 - name: '417' dtype: float32 - name: '418' dtype: float32 - name: '419' dtype: float32 - name: '420' dtype: float32 - name: '421' dtype: float32 - name: '422' dtype: float32 - name: '423' dtype: float32 - name: '424' dtype: float32 - name: '425' dtype: float32 - name: '426' dtype: float32 - name: '427' dtype: float32 - name: '428' dtype: float32 - name: '429' dtype: float32 - name: '430' dtype: float32 - name: '431' dtype: float32 - name: '432' dtype: float32 - name: '433' dtype: float32 - name: '434' dtype: float32 - name: '435' dtype: float32 - name: '436' dtype: float32 - name: '437' dtype: float32 - name: '438' dtype: float32 - name: '439' dtype: float32 - name: '440' dtype: float32 - name: '441' dtype: float32 - name: '442' dtype: float32 - name: '443' dtype: float32 - name: '444' dtype: float32 - name: '445' dtype: float32 - name: '446' dtype: float32 - name: '447' dtype: float32 - name: '448' dtype: float32 - name: '449' dtype: float32 - name: '450' dtype: float32 - name: '451' dtype: float32 - name: '452' dtype: float32 - name: '453' dtype: float32 - name: '454' dtype: float32 - name: '455' dtype: float32 - name: '456' dtype: float32 - name: '457' dtype: float32 - name: '458' dtype: float32 - name: '459' dtype: float32 - name: '460' dtype: float32 - name: '461' dtype: float32 - name: '462' dtype: float32 - name: '463' dtype: float32 - name: '464' dtype: float32 - name: '465' dtype: float32 - name: '466' dtype: float32 - name: '467' dtype: float32 - name: '468' dtype: float32 - name: '469' dtype: float32 - name: '470' dtype: float32 - name: '471' dtype: float32 - name: '472' dtype: float32 - name: '473' dtype: float32 - name: '474' dtype: float32 - name: '475' dtype: float32 - name: '476' dtype: float32 - name: '477' dtype: float32 - name: '478' dtype: float32 - name: '479' dtype: float32 - name: '480' dtype: float32 - name: '481' dtype: float32 - name: '482' dtype: float32 - name: '483' dtype: float32 - name: '484' dtype: float32 - name: '485' dtype: float32 - name: '486' dtype: float32 - name: '487' dtype: float32 - name: '488' dtype: float32 - name: '489' dtype: float32 - name: '490' dtype: float32 - name: '491' dtype: float32 - name: '492' dtype: float32 - name: '493' dtype: float32 - name: '494' dtype: float32 - name: '495' dtype: float32 - name: '496' dtype: float32 - name: '497' dtype: float32 - name: '498' dtype: float32 - name: '499' dtype: float32 - name: '500' dtype: float32 - name: '501' dtype: float32 - name: '502' dtype: float32 - name: '503' dtype: float32 - name: '504' dtype: float32 - name: '505' dtype: float32 - name: '506' dtype: float32 - name: '507' dtype: float32 - name: '508' dtype: float32 - name: '509' dtype: float32 - name: '510' dtype: float32 - name: '511' dtype: float32 - name: '512' dtype: float32 - name: '513' dtype: float32 - name: '514' dtype: float32 - name: '515' dtype: float32 - name: '516' dtype: float32 - name: '517' dtype: float32 - name: '518' dtype: float32 - name: '519' dtype: float32 - name: '520' dtype: float32 - name: '521' dtype: float32 - name: '522' dtype: float32 - name: '523' dtype: float32 - name: '524' dtype: float32 - name: '525' dtype: float32 - name: '526' dtype: float32 - name: '527' dtype: float32 - name: '528' dtype: float32 - name: '529' dtype: float32 - name: '530' dtype: float32 - name: '531' dtype: float32 - name: '532' dtype: float32 - name: '533' dtype: float32 - name: '534' dtype: float32 - name: '535' dtype: float32 - name: '536' dtype: float32 - name: '537' dtype: float32 - name: '538' dtype: float32 - name: '539' dtype: float32 - name: '540' dtype: float32 - name: '541' dtype: float32 - name: '542' dtype: float32 - name: '543' dtype: float32 - name: '544' dtype: float32 - name: '545' dtype: float32 - name: '546' dtype: float32 - name: '547' dtype: float32 - name: '548' dtype: float32 - name: '549' dtype: float32 - name: '550' dtype: float32 - name: '551' dtype: float32 - name: '552' dtype: float32 - name: '553' dtype: float32 - name: '554' dtype: float32 - name: '555' dtype: float32 - name: '556' dtype: float32 - name: '557' dtype: float32 - name: '558' dtype: float32 - name: '559' dtype: float32 - name: '560' dtype: float32 - name: '561' dtype: float32 - name: '562' dtype: float32 - name: '563' dtype: float32 - name: '564' dtype: float32 - name: '565' dtype: float32 - name: '566' dtype: float32 - name: '567' dtype: float32 - name: '568' dtype: float32 - name: '569' dtype: float32 - name: '570' dtype: float32 - name: '571' dtype: float32 - name: '572' dtype: float32 - name: '573' dtype: float32 - name: '574' dtype: float32 - name: '575' dtype: float32 - name: '576' dtype: float32 - name: '577' dtype: float32 - name: '578' dtype: float32 - name: '579' dtype: float32 - name: '580' dtype: float32 - name: '581' dtype: float32 - name: '582' dtype: float32 - name: '583' dtype: float32 - name: '584' dtype: float32 - name: '585' dtype: float32 - name: '586' dtype: float32 - name: '587' dtype: float32 - name: '588' dtype: float32 - name: '589' dtype: float32 - name: '590' dtype: float32 - name: '591' dtype: float32 - name: '592' dtype: float32 - name: '593' dtype: float32 - name: '594' dtype: float32 - name: '595' dtype: float32 - name: '596' dtype: float32 - name: '597' dtype: float32 - name: '598' dtype: float32 - name: '599' dtype: float32 - name: '600' dtype: float32 - name: '601' dtype: float32 - name: '602' dtype: float32 - name: '603' dtype: float32 - name: '604' dtype: float32 - name: '605' dtype: float32 - name: '606' dtype: float32 - name: '607' dtype: float32 - name: '608' dtype: float32 - name: '609' dtype: float32 - name: '610' dtype: float32 - name: '611' dtype: float32 - name: '612' dtype: float32 - name: '613' dtype: float32 - name: '614' dtype: float32 - name: '615' dtype: float32 - name: '616' dtype: float32 - name: '617' dtype: float32 - name: '618' dtype: float32 - name: '619' dtype: float32 - name: '620' dtype: float32 - name: '621' dtype: float32 - name: '622' dtype: float32 - name: '623' dtype: float32 - name: '624' dtype: float32 - name: '625' dtype: float32 - name: '626' dtype: float32 - name: '627' dtype: float32 - name: '628' dtype: float32 - name: '629' dtype: float32 - name: '630' dtype: float32 - name: '631' dtype: float32 - name: '632' dtype: float32 - name: '633' dtype: float32 - name: '634' dtype: float32 - name: '635' dtype: float32 - name: '636' dtype: float32 - name: '637' dtype: float32 - name: '638' dtype: float32 - name: '639' dtype: float32 - name: '640' dtype: float32 - name: '641' dtype: float32 - name: '642' dtype: float32 - name: '643' dtype: float32 - name: '644' dtype: float32 - name: '645' dtype: float32 - name: '646' dtype: float32 - name: '647' dtype: float32 - name: '648' dtype: float32 - name: '649' dtype: float32 - name: '650' dtype: float32 - name: '651' dtype: float32 - name: '652' dtype: float32 - name: '653' dtype: float32 - name: '654' dtype: float32 - name: '655' dtype: float32 - name: '656' dtype: float32 - name: '657' dtype: float32 - name: '658' dtype: float32 - name: '659' dtype: float32 - name: '660' dtype: float32 - name: '661' dtype: float32 - name: '662' dtype: float32 - name: '663' dtype: float32 - name: '664' dtype: float32 - name: '665' dtype: float32 - name: '666' dtype: float32 - name: '667' dtype: float32 - name: '668' dtype: float32 - name: '669' dtype: float32 - name: '670' dtype: float32 - name: '671' dtype: float32 - name: '672' dtype: float32 - name: '673' dtype: float32 - name: '674' dtype: float32 - name: '675' dtype: float32 - name: '676' dtype: float32 - name: '677' dtype: float32 - name: '678' dtype: float32 - name: '679' dtype: float32 - name: '680' dtype: float32 - name: '681' dtype: float32 - name: '682' dtype: float32 - name: '683' dtype: float32 - name: '684' dtype: float32 - name: '685' dtype: float32 - name: '686' dtype: float32 - name: '687' dtype: float32 - name: '688' dtype: float32 - name: '689' dtype: float32 - name: '690' dtype: float32 - name: '691' dtype: float32 - name: '692' dtype: float32 - name: '693' dtype: float32 - name: '694' dtype: float32 - name: '695' dtype: float32 - name: '696' dtype: float32 - name: '697' dtype: float32 - name: '698' dtype: float32 - name: '699' dtype: float32 - name: '700' dtype: float32 - name: '701' dtype: float32 - name: '702' dtype: float32 - name: '703' dtype: float32 - name: '704' dtype: float32 - name: '705' dtype: float32 - name: '706' dtype: float32 - name: '707' dtype: float32 - name: '708' dtype: float32 - name: '709' dtype: float32 - name: '710' dtype: float32 - name: '711' dtype: float32 - name: '712' dtype: float32 - name: '713' dtype: float32 - name: '714' dtype: float32 - name: '715' dtype: float32 - name: '716' dtype: float32 - name: '717' dtype: float32 - name: '718' dtype: float32 - name: '719' dtype: float32 - name: '720' dtype: float32 - name: '721' dtype: float32 - name: '722' dtype: float32 - name: '723' dtype: float32 - name: '724' dtype: float32 - name: '725' dtype: float32 - name: '726' dtype: float32 - name: '727' dtype: float32 - name: '728' dtype: float32 - name: '729' dtype: float32 - name: '730' dtype: float32 - name: '731' dtype: float32 - name: '732' dtype: float32 - name: '733' dtype: float32 - name: '734' dtype: float32 - name: '735' dtype: float32 - name: '736' dtype: float32 - name: '737' dtype: float32 - name: '738' dtype: float32 - name: '739' dtype: float32 - name: '740' dtype: float32 - name: '741' dtype: float32 - name: '742' dtype: float32 - name: '743' dtype: float32 - name: '744' dtype: float32 - name: '745' dtype: float32 - name: '746' dtype: float32 - name: '747' dtype: float32 - name: '748' dtype: float32 - name: '749' dtype: float32 - name: '750' dtype: float32 - name: '751' dtype: float32 - name: '752' dtype: float32 - name: '753' dtype: float32 - name: '754' dtype: float32 - name: '755' dtype: float32 - name: '756' dtype: float32 - name: '757' dtype: float32 - name: '758' dtype: float32 - name: '759' dtype: float32 - name: '760' dtype: float32 - name: '761' dtype: float32 - name: '762' dtype: float32 - name: '763' dtype: float32 - name: '764' dtype: float32 - name: '765' dtype: float32 - name: '766' dtype: float32 - name: '767' dtype: float32 - name: label dtype: string splits: - name: train num_bytes: 115582709.0625 num_examples: 37500 - name: test num_bytes: 38527570.0 num_examples: 12500 download_size: 211883223 dataset_size: 154110279.0625 --- # Dataset Card for "BGL_RoBERTa_Baseline" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
ZelaAI/lj_speech_2048	--- dataset_info: features: - name: text_tokens sequence: int64 - name: audio_tokens_1 sequence: int64 - name: audio_tokens_2 sequence: int64 splits: - name: train num_bytes: 163157868 num_examples: 3331 download_size: 17054634 dataset_size: 163157868 --- # Dataset Card for "lj_speech_2048" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
lucasroberto125/Lessa1	--- license: artistic-2.0 ---
CyberHarem/izayoi_sakuya_touhou	--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of izayoi_sakuya/いざよいさくや/十六夜咲夜/이자요이사쿠야 (Touhou) This is the dataset of izayoi_sakuya/いざよいさくや/十六夜咲夜/이자요이사쿠야 (Touhou), containing 500 images and their tags. The core tags of this character are `braid, twin_braids, maid_headdress, short_hair, grey_hair, bow, hair_bow, blue_eyes, bangs, breasts, ribbon, green_bow, hair_between_eyes, white_hair`, which are pruned in this dataset. Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)). ## List of Packages \| Name \| Images \| Size \| Download \| Type \| Description \| \|:-----------------\|---------:\|:-----------\|:----------------------------------------------------------------------------------------------------------------------\|:-----------\|:---------------------------------------------------------------------\| \| raw \| 500 \| 809.03 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/izayoi_sakuya_touhou/resolve/main/dataset-raw.zip) \| Waifuc-Raw \| Raw data with meta information (min edge aligned to 1400 if larger). \| \| 800 \| 500 \| 465.02 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/izayoi_sakuya_touhou/resolve/main/dataset-800.zip) \| IMG+TXT \| dataset with the shorter side not exceeding 800 pixels. \| \| stage3-p480-800 \| 1213 \| 941.00 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/izayoi_sakuya_touhou/resolve/main/dataset-stage3-p480-800.zip) \| IMG+TXT \| 3-stage cropped dataset with the area not less than 480x480 pixels. \| \| 1200 \| 500 \| 714.48 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/izayoi_sakuya_touhou/resolve/main/dataset-1200.zip) \| IMG+TXT \| dataset with the shorter side not exceeding 1200 pixels. \| \| stage3-p480-1200 \| 1213 \| 1.27 GiB \| [Download](https://huggingface.co/datasets/CyberHarem/izayoi_sakuya_touhou/resolve/main/dataset-stage3-p480-1200.zip) \| IMG+TXT \| 3-stage cropped dataset with the area not less than 480x480 pixels. \| ### Load Raw Dataset with Waifuc We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code ```python import os import zipfile from huggingface_hub import hf_hub_download from waifuc.source import LocalSource # download raw archive file zip_file = hf_hub_download( repo_id='CyberHarem/izayoi_sakuya_touhou', repo_type='dataset', filename='dataset-raw.zip', ) # extract files to your directory dataset_dir = 'dataset_dir' os.makedirs(dataset_dir, exist_ok=True) with zipfile.ZipFile(zip_file, 'r') as zf: zf.extractall(dataset_dir) # load the dataset with waifuc source = LocalSource(dataset_dir) for item in source: print(item.image, item.meta['filename'], item.meta['tags']) ``` ## List of Clusters List of tag clustering result, maybe some outfits can be mined here. ### Raw Text Version \| # \| Samples \| Img-1 \| Img-2 \| Img-3 \| Img-4 \| Img-5 \| Tags \| \|----:\|----------:\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\| \| 0 \| 12 \| ![](samples/0/clu0-sample0.png) \| ![](samples/0/clu0-sample1.png) \| ![](samples/0/clu0-sample2.png) \| ![](samples/0/clu0-sample3.png) \| ![](samples/0/clu0-sample4.png) \| 1girl, looking_at_viewer, maid, solo, waist_apron, blue_dress, knife, puffy_short_sleeves, holding, red_eyes, wrist_cuffs \| \| 1 \| 24 \| ![](samples/1/clu1-sample0.png) \| ![](samples/1/clu1-sample1.png) \| ![](samples/1/clu1-sample2.png) \| ![](samples/1/clu1-sample3.png) \| ![](samples/1/clu1-sample4.png) \| 1girl, blue_dress, looking_at_viewer, maid_apron, puffy_short_sleeves, solo, waist_apron, white_apron, weapon, holding_knife, white_shirt, frilled_apron, red_eyes, closed_mouth, medium_breasts, wrist_cuffs, between_fingers, cowboy_shot, standing \| \| 2 \| 5 \| ![](samples/2/clu2-sample0.png) \| ![](samples/2/clu2-sample1.png) \| ![](samples/2/clu2-sample2.png) \| ![](samples/2/clu2-sample3.png) \| ![](samples/2/clu2-sample4.png) \| 1girl, blue_dress, holding_knife, looking_at_viewer, puffy_short_sleeves, simple_background, solo, waist_apron, white_background, between_fingers, white_apron, black_pantyhose, frills, maid_apron, medium_breasts, closed_mouth, large_breasts, shoes, white_shirt, wrist_cuffs \| \| 3 \| 8 \| ![](samples/3/clu3-sample0.png) \| ![](samples/3/clu3-sample1.png) \| ![](samples/3/clu3-sample2.png) \| ![](samples/3/clu3-sample3.png) \| ![](samples/3/clu3-sample4.png) \| 1girl, knife, maid, solo, apron, red_eyes, fingerless_gloves \| \| 4 \| 6 \| ![](samples/4/clu4-sample0.png) \| ![](samples/4/clu4-sample1.png) \| ![](samples/4/clu4-sample2.png) \| ![](samples/4/clu4-sample3.png) \| ![](samples/4/clu4-sample4.png) \| 1girl, solo, lingerie, looking_at_viewer, navel, on_back, open_shirt, maid, thighhighs, white_bra, white_panties \| ### Table Version \| # \| Samples \| Img-1 \| Img-2 \| Img-3 \| Img-4 \| Img-5 \| 1girl \| looking_at_viewer \| maid \| solo \| waist_apron \| blue_dress \| knife \| puffy_short_sleeves \| holding \| red_eyes \| wrist_cuffs \| maid_apron \| white_apron \| weapon \| holding_knife \| white_shirt \| frilled_apron \| closed_mouth \| medium_breasts \| between_fingers \| cowboy_shot \| standing \| simple_background \| white_background \| black_pantyhose \| frills \| large_breasts \| shoes \| apron \| fingerless_gloves \| lingerie \| navel \| on_back \| open_shirt \| thighhighs \| white_bra \| white_panties \| \|----:\|----------:\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------\|:--------------------\|:-------\|:-------\|:--------------\|:-------------\|:--------\|:----------------------\|:----------\|:-----------\|:--------------\|:-------------\|:--------------\|:---------\|:----------------\|:--------------\|:----------------\|:---------------\|:-----------------\|:------------------\|:--------------\|:-----------\|:--------------------\|:-------------------\|:------------------\|:---------\|:----------------\|:--------\|:--------\|:--------------------\|:-----------\|:--------\|:----------\|:-------------\|:-------------\|:------------\|:----------------\| \| 0 \| 12 \| ![](samples/0/clu0-sample0.png) \| ![](samples/0/clu0-sample1.png) \| ![](samples/0/clu0-sample2.png) \| ![](samples/0/clu0-sample3.png) \| ![](samples/0/clu0-sample4.png) \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 1 \| 24 \| ![](samples/1/clu1-sample0.png) \| ![](samples/1/clu1-sample1.png) \| ![](samples/1/clu1-sample2.png) \| ![](samples/1/clu1-sample3.png) \| ![](samples/1/clu1-sample4.png) \| X \| X \| \| X \| X \| X \| \| X \| \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 2 \| 5 \| ![](samples/2/clu2-sample0.png) \| ![](samples/2/clu2-sample1.png) \| ![](samples/2/clu2-sample2.png) \| ![](samples/2/clu2-sample3.png) \| ![](samples/2/clu2-sample4.png) \| X \| X \| \| X \| X \| X \| \| X \| \| \| X \| X \| X \| \| X \| X \| \| X \| X \| X \| \| \| X \| X \| X \| X \| X \| X \| \| \| \| \| \| \| \| \| \| \| 3 \| 8 \| ![](samples/3/clu3-sample0.png) \| ![](samples/3/clu3-sample1.png) \| ![](samples/3/clu3-sample2.png) \| ![](samples/3/clu3-sample3.png) \| ![](samples/3/clu3-sample4.png) \| X \| \| X \| X \| \| \| X \| \| \| X \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| X \| X \| \| \| \| \| \| \| \| \| 4 \| 6 \| ![](samples/4/clu4-sample0.png) \| ![](samples/4/clu4-sample1.png) \| ![](samples/4/clu4-sample2.png) \| ![](samples/4/clu4-sample3.png) \| ![](samples/4/clu4-sample4.png) \| X \| X \| X \| X \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| X \| X \| X \| X \| X \| X \| X \|
Mohammad019/mib_resume_1.0	--- dataset_info: features: - name: text dtype: string - name: label dtype: string splits: - name: train num_bytes: 9253747.770933978 num_examples: 1987 - name: test num_bytes: 1154972.041867955 num_examples: 248 - name: validation num_bytes: 1159629.1871980675 num_examples: 249 download_size: 5335612 dataset_size: 11568349.0 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* - split: validation path: data/validation-* ---
open-llm-leaderboard/details_heegyu__LIMA-13b-hf	--- pretty_name: Evaluation run of heegyu/LIMA-13b-hf dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [heegyu/LIMA-13b-hf](https://huggingface.co/heegyu/LIMA-13b-hf) 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_heegyu__LIMA-13b-hf\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-10-22T00:08:39.312434](https://huggingface.co/datasets/open-llm-leaderboard/details_heegyu__LIMA-13b-hf/blob/main/results_2023-10-22T00-08-39.312434.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\": 0.0020973154362416107,\n\ \ \"em_stderr\": 0.000468506503036833,\n \"f1\": 0.05783347315436248,\n\ \ \"f1_stderr\": 0.0013197558360646307,\n \"acc\": 0.4303028471618438,\n\ \ \"acc_stderr\": 0.009812237277361156\n },\n \"harness\|drop\|3\": {\n\ \ \"em\": 0.0020973154362416107,\n \"em_stderr\": 0.000468506503036833,\n\ \ \"f1\": 0.05783347315436248,\n \"f1_stderr\": 0.0013197558360646307\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.0887035633055345,\n \ \ \"acc_stderr\": 0.00783145873705871\n },\n \"harness\|winogrande\|5\":\ \ {\n \"acc\": 0.7719021310181531,\n \"acc_stderr\": 0.0117930158176636\n\ \ }\n}\n```" repo_url: https://huggingface.co/heegyu/LIMA-13b-hf 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_08_17T19_40_51.725558 path: - '/details_harness\|arc:challenge\|25_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-08-17T19:40:51.725558.parquet' - config_name: harness_drop_3 data_files: - split: 2023_10_22T00_08_39.312434 path: - '/details_harness\|drop\|3_2023-10-22T00-08-39.312434.parquet' - split: latest path: - '/details_harness\|drop\|3_2023-10-22T00-08-39.312434.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_10_22T00_08_39.312434 path: - '/details_harness\|gsm8k\|5_2023-10-22T00-08-39.312434.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-10-22T00-08-39.312434.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_08_17T19_40_51.725558 path: - '/details_harness\|hellaswag\|10_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-08-17T19:40:51.725558.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '/details_harness\|hendrycksTest-management\|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '/details_harness\|hendrycksTest-virology\|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_08_17T19_40_51.725558 path: - '/details_harness\|truthfulqa:mc\|0_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-08-17T19:40:51.725558.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_10_22T00_08_39.312434 path: - '/details_harness\|winogrande\|5_2023-10-22T00-08-39.312434.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-10-22T00-08-39.312434.parquet' - config_name: results data_files: - split: 2023_08_17T19_40_51.725558 path: - results_2023-08-17T19:40:51.725558.parquet - split: 2023_10_22T00_08_39.312434 path: - results_2023-10-22T00-08-39.312434.parquet - split: latest path: - results_2023-10-22T00-08-39.312434.parquet --- # Dataset Card for Evaluation run of heegyu/LIMA-13b-hf ## Dataset Description - Homepage: - Repository: https://huggingface.co/heegyu/LIMA-13b-hf - 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 [heegyu/LIMA-13b-hf](https://huggingface.co/heegyu/LIMA-13b-hf) 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_heegyu__LIMA-13b-hf", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-10-22T00:08:39.312434](https://huggingface.co/datasets/open-llm-leaderboard/details_heegyu__LIMA-13b-hf/blob/main/results_2023-10-22T00-08-39.312434.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": 0.0020973154362416107, "em_stderr": 0.000468506503036833, "f1": 0.05783347315436248, "f1_stderr": 0.0013197558360646307, "acc": 0.4303028471618438, "acc_stderr": 0.009812237277361156 }, "harness\|drop\|3": { "em": 0.0020973154362416107, "em_stderr": 0.000468506503036833, "f1": 0.05783347315436248, "f1_stderr": 0.0013197558360646307 }, "harness\|gsm8k\|5": { "acc": 0.0887035633055345, "acc_stderr": 0.00783145873705871 }, "harness\|winogrande\|5": { "acc": 0.7719021310181531, "acc_stderr": 0.0117930158176636 } } ``` ### 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]
open-llm-leaderboard/details_TheBloke__Llama-2-13B-fp16	--- pretty_name: Evaluation run of TheBloke/Llama-2-13B-fp16 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [TheBloke/Llama-2-13B-fp16](https://huggingface.co/TheBloke/Llama-2-13B-fp16)\ \ 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_TheBloke__Llama-2-13B-fp16\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-10-22T22:53:07.629534](https://huggingface.co/datasets/open-llm-leaderboard/details_TheBloke__Llama-2-13B-fp16/blob/main/results_2023-10-22T22-53-07.629534.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\": 0.0014681208053691276,\n\ \ \"em_stderr\": 0.00039210421902982666,\n \"f1\": 0.0607822986577181,\n\ \ \"f1_stderr\": 0.0013583957676382913,\n \"acc\": 0.43739636770101,\n\ \ \"acc_stderr\": 0.010228023491905505\n },\n \"harness\|drop\|3\": {\n\ \ \"em\": 0.0014681208053691276,\n \"em_stderr\": 0.00039210421902982666,\n\ \ \"f1\": 0.0607822986577181,\n \"f1_stderr\": 0.0013583957676382913\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.10841546626231995,\n \ \ \"acc_stderr\": 0.008563852506627487\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.7663772691397001,\n \"acc_stderr\": 0.011892194477183524\n\ \ }\n}\n```" repo_url: https://huggingface.co/TheBloke/Llama-2-13B-fp16 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_07_24T15_08_39.202746 path: - '/details_harness\|arc:challenge\|25_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-07-24T15:08:39.202746.parquet' - config_name: harness_drop_3 data_files: - split: 2023_10_22T22_53_07.629534 path: - '/details_harness\|drop\|3_2023-10-22T22-53-07.629534.parquet' - split: latest path: - '/details_harness\|drop\|3_2023-10-22T22-53-07.629534.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_10_22T22_53_07.629534 path: - '/details_harness\|gsm8k\|5_2023-10-22T22-53-07.629534.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-10-22T22-53-07.629534.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_07_24T15_08_39.202746 path: - '/details_harness\|hellaswag\|10_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-07-24T15:08:39.202746.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '/details_harness\|hendrycksTest-management\|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '/details_harness\|hendrycksTest-virology\|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_07_24T15_08_39.202746 path: - '/details_harness\|truthfulqa:mc\|0_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-07-24T15:08:39.202746.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_10_22T22_53_07.629534 path: - '/details_harness\|winogrande\|5_2023-10-22T22-53-07.629534.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-10-22T22-53-07.629534.parquet' - config_name: results data_files: - split: 2023_07_24T15_08_39.202746 path: - results_2023-07-24T15:08:39.202746.parquet - split: 2023_10_22T22_53_07.629534 path: - results_2023-10-22T22-53-07.629534.parquet - split: latest path: - results_2023-10-22T22-53-07.629534.parquet --- # Dataset Card for Evaluation run of TheBloke/Llama-2-13B-fp16 ## Dataset Description - Homepage: - Repository: https://huggingface.co/TheBloke/Llama-2-13B-fp16 - 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 [TheBloke/Llama-2-13B-fp16](https://huggingface.co/TheBloke/Llama-2-13B-fp16) 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_TheBloke__Llama-2-13B-fp16", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-10-22T22:53:07.629534](https://huggingface.co/datasets/open-llm-leaderboard/details_TheBloke__Llama-2-13B-fp16/blob/main/results_2023-10-22T22-53-07.629534.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": 0.0014681208053691276, "em_stderr": 0.00039210421902982666, "f1": 0.0607822986577181, "f1_stderr": 0.0013583957676382913, "acc": 0.43739636770101, "acc_stderr": 0.010228023491905505 }, "harness\|drop\|3": { "em": 0.0014681208053691276, "em_stderr": 0.00039210421902982666, "f1": 0.0607822986577181, "f1_stderr": 0.0013583957676382913 }, "harness\|gsm8k\|5": { "acc": 0.10841546626231995, "acc_stderr": 0.008563852506627487 }, "harness\|winogrande\|5": { "acc": 0.7663772691397001, "acc_stderr": 0.011892194477183524 } } ``` ### 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]
modelloosrvcc/Announcer	--- license: openrail ---
e2e_nlg	--- annotations_creators: - crowdsourced language_creators: - crowdsourced language: - en license: - cc-by-sa-4.0 multilinguality: - monolingual size_categories: - 10K<n<100K source_datasets: - original task_categories: - text2text-generation task_ids: [] paperswithcode_id: e2e pretty_name: End-to-End NLG Challenge tags: - meaning-representation-to-text dataset_info: features: - name: meaning_representation dtype: string - name: human_reference dtype: string splits: - name: train num_bytes: 9435824 num_examples: 42061 - name: validation num_bytes: 1171723 num_examples: 4672 - name: test num_bytes: 1320205 num_examples: 4693 download_size: 11812316 dataset_size: 11927752 --- # Dataset Card for End-to-End NLG Challenge ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [Contributions](#contributions) ## Dataset Description - Homepage: [homepage](http://www.macs.hw.ac.uk/InteractionLab/E2E/) - Repository: [repository](https://github.com/tuetschek/e2e-dataset/) - Paper: [paper](https://arxiv.org/abs/1706.09254) - Leaderboard: [leaderboard](http://www.macs.hw.ac.uk/InteractionLab/E2E/) ### Dataset Summary The E2E dataset is used for training end-to-end, data-driven natural language generation systems in the restaurant domain, which is ten times bigger than existing, frequently used datasets in this area. The E2E dataset poses new challenges: (1) its human reference texts show more lexical richness and syntactic variation, including discourse phenomena; (2) generating from this set requires content selection. As such, learning from this dataset promises more natural, varied and less template-like system utterances. E2E is released in the following paper where you can find more details and baseline results: https://arxiv.org/abs/1706.09254 ### Supported Tasks and Leaderboards - `text2text-generation-other-meaning-representation-to-text`: The dataset can be used to train a model to generate descriptions in the restaurant domain from meaning representations, which consists in taking as input some data about a restaurant and generate a sentence in natural language that presents the different aspects of the data about the restaurant.. Success on this task is typically measured by achieving a high [BLEU](https://huggingface.co/metrics/bleu), [NIST](https://huggingface.co/metrics/nist), [METEOR](https://huggingface.co/metrics/meteor), [Rouge-L](https://huggingface.co/metrics/rouge), [CIDEr](https://huggingface.co/metrics/cider). The TGen model (Dusek and Jurcıcek, 2016a) was used a baseline, had the following scores: \| \| BLEU \| NIST \| METEOR \| ROUGE_L \| CIDEr \| \| -------- \| ------ \| ------ \| ------ \| ------- \| ------ \| \| BASELINE \| 0.6593 \| 8.6094 \| 0.4483 \| 0.6850 \| 2.2338 \| This task has an inactive leaderboard which can be found [here](http://www.macs.hw.ac.uk/InteractionLab/E2E/) and ranks models based on the metrics above. ### Languages The dataset is in english (en). ## Dataset Structure ### Data Instances Example of one instance: ``` {'human_reference': 'The Vaults pub near Café Adriatic has a 5 star rating. Prices start at £30.', 'meaning_representation': 'name[The Vaults], eatType[pub], priceRange[more than £30], customer rating[5 out of 5], near[Café Adriatic]'} ``` ### Data Fields - `human_reference`: string, the text is natural language that describes the different characteristics in the meaning representation - `meaning_representation`: list of slots and values to generate a description from Each MR consists of 3–8 attributes (slots), such as name, food or area, and their values. ### Data Splits The dataset is split into training, validation and testing sets (in a 76.5-8.5-15 ratio), keeping a similar distribution of MR and reference text lengths and ensuring that MRs in different sets are distinct. \| \| train \| validation \| test \| \| ----- \|-------:\|------------:\|------:\| \| N. Instances \| 42061 \| 4672 \| 4693 \| ## Dataset Creation ### Curation Rationale [More Information Needed] ### Source Data [More Information Needed] #### Initial Data Collection and Normalization The data was collected using the CrowdFlower platform and quality-controlled following Novikova et al. (2016). #### Who are the source language producers? [More Information Needed] ### Annotations Following Novikova et al. (2016), the E2E data was collected using pictures as stimuli, which was shown to elicit significantly more natural, more informative, and better phrased human references than textual MRs. #### 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 ``` @article{dusek.etal2020:csl, title = {Evaluating the {{State}}-of-the-{{Art}} of {{End}}-to-{{End Natural Language Generation}}: {{The E2E NLG Challenge}}}, author = {Du{\v{s}}ek, Ond\v{r}ej and Novikova, Jekaterina and Rieser, Verena}, year = {2020}, month = jan, volume = {59}, pages = {123--156}, doi = {10.1016/j.csl.2019.06.009}, archivePrefix = {arXiv}, eprint = {1901.11528}, eprinttype = {arxiv}, journal = {Computer Speech \& Language} ``` ### Contributions Thanks to [@lhoestq](https://github.com/lhoestq) for adding this dataset.
Tngarg/chinese_test	--- dataset_info: features: - name: 'Unnamed: 0' dtype: int64 - name: tweet dtype: string - name: sentiment dtype: string - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 1574339 num_examples: 11513 download_size: 1143927 dataset_size: 1574339 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "chinese_test" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
vwxyzjn/ultrachat_200k_filtered_1707919621	--- dataset_info: features: - name: prompt dtype: string - name: prompt_id dtype: string - name: messages list: - name: content dtype: string - name: role dtype: string - name: query_reference_response list: - name: content dtype: string - name: role dtype: string - name: query_reference_response_token sequence: int64 - name: query_reference_response_token_len dtype: int64 - name: query list: - name: content dtype: string - name: role dtype: string - name: query_token sequence: int64 - name: query_token_len dtype: int64 - name: reference_response struct: - name: content dtype: string - name: role dtype: string - name: reference_response_token sequence: int64 - name: reference_response_token_len dtype: int64 splits: - name: test_gen num_bytes: 30484069 num_examples: 1000 - name: test_sft num_bytes: 39592502 num_examples: 1000 - name: train_gen num_bytes: 29613744 num_examples: 1000 - name: train_sft num_bytes: 39521233 num_examples: 1000 download_size: 50859072 dataset_size: 139211548 --- # Args ```python {'base_model': 'mistralai/Mistral-7B-v0.1', 'check_length_correctness': True, 'debug': True, 'hf_entity': 'vwxyzjn', 'params': TaskQueryHParams(length=3000, format_str='SUBREDDIT: r/{subreddit}\n' '\n' 'TITLE: {title}\n' '\n' 'POST: {post}\n' '\n' 'TL;DR:', truncate_field='post', truncate_text='\n', padding='pad_token', pad_token=[32000], pad_side='left', max_sft_response_length=1500, max_sft_query_response_length=4500, max_rm_response_length=169, max_rm_query_response_length=638), 'push_to_hub': True} ```
freshpearYoon/train_free_2	--- dataset_info: features: - name: input_features sequence: sequence: float32 - name: labels sequence: int64 splits: - name: train num_bytes: 9604855104 num_examples: 10000 download_size: 1387232122 dataset_size: 9604855104 configs: - config_name: default data_files: - split: train path: data/train-* ---
gguichard/wsd_myriade_synth_data_gpt4turbo_val_v2	--- dataset_info: features: - name: tokens sequence: string - name: wn_sens sequence: int64 - name: input_ids sequence: int32 - name: attention_mask sequence: int8 - name: labels sequence: int64 splits: - name: train num_bytes: 466852 num_examples: 676 download_size: 111646 dataset_size: 466852 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "wsd_myriade_synth_data_gpt4turbo_val_v2" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Falah/deep_learning_books_dataset	--- dataset_info: features: - name: page_no dtype: int64 - name: page_content dtype: string splits: - name: train num_bytes: 1030431 num_examples: 474 download_size: 509839 dataset_size: 1030431 --- # Deep Learning Books Dataset ## Dataset Information - Features: - `page_no`: Integer (int64) - Page number in the book. - `page_content`: String - Text content of the page. - Splits: - `train`: Training split. - Number of examples: 474 - Number of bytes: 1,030,431 - Download Size: 509,839 bytes - Dataset Size: 1,030,431 bytes ## Dataset Application This dataset "deep_learning_books_dataset" contains text data from various pages of books related to deep learning. It can be used for various natural language processing (NLP) tasks such as text classification, language modeling, text generation, and more. ### Using Python and Hugging Face's Transformers Library To use this dataset for NLP text generation and language modeling tasks, you can follow these steps: 1. Install the required libraries: ```python pip install datasets from datasets import load_dataset dataset = load_dataset("Falah/deep_learning_books_dataset") ``` ## Citation Please use the following citation when referencing this dataset: ``` @dataset{deep_learning_books_dataset, author = {Falah.G.Salieh}, title = {Deep Learning Books Dataset,}, year = {2023}, publisher = {HuggingFace Hub}, version = {1.0}, location = {Online}, url = {https://huggingface.co/datasets/Falah/deep_learning_books_dataset} } ``` ### Apache License: The "{Deep Learning Books Dataset" is distributed under the Apache License 2.0. The specific licensing and usage terms for this dataset can be found in the dataset repository or documentation. Please make sure to review and comply with the applicable license and usage terms before downloading and using the dataset.
fia24/augmented_bangla_money10k_80_20	--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': '1' '1': '10' '2': '100' '3': '1000' '4': '2' '5': '20' '6': '200' '7': '5' '8': '50' '9': '500' splits: - name: train num_bytes: 75522474.4 num_examples: 8000 - name: test num_bytes: 18872730.6 num_examples: 2000 download_size: 88787135 dataset_size: 94395205.0 --- # Dataset Card for "augmented_bangla_money10k_80_20" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
open-llm-leaderboard/details_macadeliccc__Mistral-7B-v0.2-OpenHermes	--- pretty_name: Evaluation run of macadeliccc/Mistral-7B-v0.2-OpenHermes dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [macadeliccc/Mistral-7B-v0.2-OpenHermes](https://huggingface.co/macadeliccc/Mistral-7B-v0.2-OpenHermes)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 63 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 (and is used to compute and display the aggregated 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_macadeliccc__Mistral-7B-v0.2-OpenHermes\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-03-27T18:19:33.883845](https://huggingface.co/datasets/open-llm-leaderboard/details_macadeliccc__Mistral-7B-v0.2-OpenHermes/blob/main/results_2024-03-27T18-19-33.883845.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\": 0.5919484433220782,\n\ \ \"acc_stderr\": 0.03315093682640097,\n \"acc_norm\": 0.6029228152554236,\n\ \ \"acc_norm_stderr\": 0.03406103831759794,\n \"mc1\": 0.2864137086903305,\n\ \ \"mc1_stderr\": 0.01582614243950236,\n \"mc2\": 0.4308666648887643,\n\ \ \"mc2_stderr\": 0.0144918724444321\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.515358361774744,\n \"acc_stderr\": 0.014604496129394908,\n\ \ \"acc_norm\": 0.5580204778156996,\n \"acc_norm_stderr\": 0.01451268252312834\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.6082453694483171,\n\ \ \"acc_stderr\": 0.004871447106554927,\n \"acc_norm\": 0.816072495518821,\n\ \ \"acc_norm_stderr\": 0.0038663327313633263\n },\n \"harness\|hendrycksTest-abstract_algebra\|5\"\ : {\n \"acc\": 0.35,\n \"acc_stderr\": 0.0479372485441102,\n \ \ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.0479372485441102\n },\n\ \ \"harness\|hendrycksTest-anatomy\|5\": {\n \"acc\": 0.5555555555555556,\n\ \ \"acc_stderr\": 0.04292596718256981,\n \"acc_norm\": 0.5555555555555556,\n\ \ \"acc_norm_stderr\": 0.04292596718256981\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.6118421052631579,\n \"acc_stderr\": 0.03965842097512744,\n\ \ \"acc_norm\": 0.6118421052631579,\n \"acc_norm_stderr\": 0.03965842097512744\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|5\": {\n \"acc\": 0.57,\n\ \ \"acc_stderr\": 0.049756985195624284,\n \"acc_norm\": 0.57,\n \ \ \"acc_norm_stderr\": 0.049756985195624284\n },\n \"harness\|hendrycksTest-clinical_knowledge\|5\"\ : {\n \"acc\": 0.6792452830188679,\n \"acc_stderr\": 0.02872750295788027,\n\ \ \"acc_norm\": 0.6792452830188679,\n \"acc_norm_stderr\": 0.02872750295788027\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.6458333333333334,\n\ \ \"acc_stderr\": 0.039994111357535424,\n \"acc_norm\": 0.6458333333333334,\n\ \ \"acc_norm_stderr\": 0.039994111357535424\n },\n \"harness\|hendrycksTest-college_chemistry\|5\"\ : {\n \"acc\": 0.44,\n \"acc_stderr\": 0.04988876515698589,\n \ \ \"acc_norm\": 0.44,\n \"acc_norm_stderr\": 0.04988876515698589\n \ \ },\n \"harness\|hendrycksTest-college_computer_science\|5\": {\n \"acc\"\ : 0.46,\n \"acc_stderr\": 0.05009082659620332,\n \"acc_norm\": 0.46,\n\ \ \"acc_norm_stderr\": 0.05009082659620332\n },\n \"harness\|hendrycksTest-college_mathematics\|5\"\ : {\n \"acc\": 0.39,\n \"acc_stderr\": 0.04902071300001974,\n \ \ \"acc_norm\": 0.39,\n \"acc_norm_stderr\": 0.04902071300001974\n \ \ },\n \"harness\|hendrycksTest-college_medicine\|5\": {\n \"acc\": 0.5895953757225434,\n\ \ \"acc_stderr\": 0.037507570448955356,\n \"acc_norm\": 0.5895953757225434,\n\ \ \"acc_norm_stderr\": 0.037507570448955356\n },\n \"harness\|hendrycksTest-college_physics\|5\"\ : {\n \"acc\": 0.38235294117647056,\n \"acc_stderr\": 0.04835503696107223,\n\ \ \"acc_norm\": 0.38235294117647056,\n \"acc_norm_stderr\": 0.04835503696107223\n\ \ },\n \"harness\|hendrycksTest-computer_security\|5\": {\n \"acc\":\ \ 0.74,\n \"acc_stderr\": 0.04408440022768078,\n \"acc_norm\": 0.74,\n\ \ \"acc_norm_stderr\": 0.04408440022768078\n },\n \"harness\|hendrycksTest-conceptual_physics\|5\"\ : {\n \"acc\": 0.548936170212766,\n \"acc_stderr\": 0.032529096196131965,\n\ \ \"acc_norm\": 0.548936170212766,\n \"acc_norm_stderr\": 0.032529096196131965\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.4473684210526316,\n\ \ \"acc_stderr\": 0.04677473004491199,\n \"acc_norm\": 0.4473684210526316,\n\ \ \"acc_norm_stderr\": 0.04677473004491199\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.503448275862069,\n \"acc_stderr\": 0.041665675771015785,\n\ \ \"acc_norm\": 0.503448275862069,\n \"acc_norm_stderr\": 0.041665675771015785\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.3915343915343915,\n \"acc_stderr\": 0.025138091388851095,\n \"\ acc_norm\": 0.3915343915343915,\n \"acc_norm_stderr\": 0.025138091388851095\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.42063492063492064,\n\ \ \"acc_stderr\": 0.04415438226743744,\n \"acc_norm\": 0.42063492063492064,\n\ \ \"acc_norm_stderr\": 0.04415438226743744\n },\n \"harness\|hendrycksTest-global_facts\|5\"\ : {\n \"acc\": 0.35,\n \"acc_stderr\": 0.0479372485441102,\n \ \ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.0479372485441102\n },\n\ \ \"harness\|hendrycksTest-high_school_biology\|5\": {\n \"acc\": 0.7064516129032258,\n\ \ \"acc_stderr\": 0.025906087021319295,\n \"acc_norm\": 0.7064516129032258,\n\ \ \"acc_norm_stderr\": 0.025906087021319295\n },\n \"harness\|hendrycksTest-high_school_chemistry\|5\"\ : {\n \"acc\": 0.43842364532019706,\n \"acc_stderr\": 0.03491207857486519,\n\ \ \"acc_norm\": 0.43842364532019706,\n \"acc_norm_stderr\": 0.03491207857486519\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|5\": {\n \ \ \"acc\": 0.65,\n \"acc_stderr\": 0.04793724854411019,\n \"acc_norm\"\ : 0.65,\n \"acc_norm_stderr\": 0.04793724854411019\n },\n \"harness\|hendrycksTest-high_school_european_history\|5\"\ : {\n \"acc\": 0.7212121212121212,\n \"acc_stderr\": 0.03501438706296781,\n\ \ \"acc_norm\": 0.7212121212121212,\n \"acc_norm_stderr\": 0.03501438706296781\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.7525252525252525,\n \"acc_stderr\": 0.030746300742124488,\n \"\ acc_norm\": 0.7525252525252525,\n \"acc_norm_stderr\": 0.030746300742124488\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.8082901554404145,\n \"acc_stderr\": 0.02840895362624528,\n\ \ \"acc_norm\": 0.8082901554404145,\n \"acc_norm_stderr\": 0.02840895362624528\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.541025641025641,\n \"acc_stderr\": 0.025265525491284295,\n \ \ \"acc_norm\": 0.541025641025641,\n \"acc_norm_stderr\": 0.025265525491284295\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.3,\n \"acc_stderr\": 0.02794045713622841,\n \"acc_norm\"\ : 0.3,\n \"acc_norm_stderr\": 0.02794045713622841\n },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\"\ : {\n \"acc\": 0.5588235294117647,\n \"acc_stderr\": 0.032252942323996406,\n\ \ \"acc_norm\": 0.5588235294117647,\n \"acc_norm_stderr\": 0.032252942323996406\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.33774834437086093,\n \"acc_stderr\": 0.038615575462551684,\n \"\ acc_norm\": 0.33774834437086093,\n \"acc_norm_stderr\": 0.038615575462551684\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.8,\n \"acc_stderr\": 0.017149858514250948,\n \"acc_norm\": 0.8,\n\ \ \"acc_norm_stderr\": 0.017149858514250948\n },\n \"harness\|hendrycksTest-high_school_statistics\|5\"\ : {\n \"acc\": 0.4537037037037037,\n \"acc_stderr\": 0.033953227263757976,\n\ \ \"acc_norm\": 0.4537037037037037,\n \"acc_norm_stderr\": 0.033953227263757976\n\ \ },\n \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\"\ : 0.7696078431372549,\n \"acc_stderr\": 0.029554292605695063,\n \"\ acc_norm\": 0.7696078431372549,\n \"acc_norm_stderr\": 0.029554292605695063\n\ \ },\n \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"\ acc\": 0.8016877637130801,\n \"acc_stderr\": 0.02595502084162113,\n \ \ \"acc_norm\": 0.8016877637130801,\n \"acc_norm_stderr\": 0.02595502084162113\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.6547085201793722,\n\ \ \"acc_stderr\": 0.03191100192835795,\n \"acc_norm\": 0.6547085201793722,\n\ \ \"acc_norm_stderr\": 0.03191100192835795\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.7557251908396947,\n \"acc_stderr\": 0.037683359597287434,\n\ \ \"acc_norm\": 0.7557251908396947,\n \"acc_norm_stderr\": 0.037683359597287434\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.7768595041322314,\n \"acc_stderr\": 0.03800754475228732,\n \"\ acc_norm\": 0.7768595041322314,\n \"acc_norm_stderr\": 0.03800754475228732\n\ \ },\n \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.6944444444444444,\n\ \ \"acc_stderr\": 0.044531975073749834,\n \"acc_norm\": 0.6944444444444444,\n\ \ \"acc_norm_stderr\": 0.044531975073749834\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.754601226993865,\n \"acc_stderr\": 0.03380939813943354,\n\ \ \"acc_norm\": 0.754601226993865,\n \"acc_norm_stderr\": 0.03380939813943354\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.5,\n\ \ \"acc_stderr\": 0.04745789978762494,\n \"acc_norm\": 0.5,\n \ \ \"acc_norm_stderr\": 0.04745789978762494\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.6893203883495146,\n \"acc_stderr\": 0.04582124160161551,\n\ \ \"acc_norm\": 0.6893203883495146,\n \"acc_norm_stderr\": 0.04582124160161551\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.8504273504273504,\n\ \ \"acc_stderr\": 0.023365051491753715,\n \"acc_norm\": 0.8504273504273504,\n\ \ \"acc_norm_stderr\": 0.023365051491753715\n },\n \"harness\|hendrycksTest-medical_genetics\|5\"\ : {\n \"acc\": 0.7,\n \"acc_stderr\": 0.046056618647183814,\n \ \ \"acc_norm\": 0.7,\n \"acc_norm_stderr\": 0.046056618647183814\n \ \ },\n \"harness\|hendrycksTest-miscellaneous\|5\": {\n \"acc\": 0.7713920817369093,\n\ \ \"acc_stderr\": 0.015016884698539873,\n \"acc_norm\": 0.7713920817369093,\n\ \ \"acc_norm_stderr\": 0.015016884698539873\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.653179190751445,\n \"acc_stderr\": 0.025624723994030454,\n\ \ \"acc_norm\": 0.653179190751445,\n \"acc_norm_stderr\": 0.025624723994030454\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.3564245810055866,\n\ \ \"acc_stderr\": 0.016018239710513398,\n \"acc_norm\": 0.3564245810055866,\n\ \ \"acc_norm_stderr\": 0.016018239710513398\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.6405228758169934,\n \"acc_stderr\": 0.027475969910660952,\n\ \ \"acc_norm\": 0.6405228758169934,\n \"acc_norm_stderr\": 0.027475969910660952\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.6977491961414791,\n\ \ \"acc_stderr\": 0.02608270069539966,\n \"acc_norm\": 0.6977491961414791,\n\ \ \"acc_norm_stderr\": 0.02608270069539966\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.6666666666666666,\n \"acc_stderr\": 0.02622964917882116,\n\ \ \"acc_norm\": 0.6666666666666666,\n \"acc_norm_stderr\": 0.02622964917882116\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.425531914893617,\n \"acc_stderr\": 0.029494827600144363,\n \ \ \"acc_norm\": 0.425531914893617,\n \"acc_norm_stderr\": 0.029494827600144363\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.4361147327249022,\n\ \ \"acc_stderr\": 0.012665568135455333,\n \"acc_norm\": 0.4361147327249022,\n\ \ \"acc_norm_stderr\": 0.012665568135455333\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.6029411764705882,\n \"acc_stderr\": 0.02972215209928006,\n\ \ \"acc_norm\": 0.6029411764705882,\n \"acc_norm_stderr\": 0.02972215209928006\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.6241830065359477,\n \"acc_stderr\": 0.01959402113657744,\n \ \ \"acc_norm\": 0.6241830065359477,\n \"acc_norm_stderr\": 0.01959402113657744\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.6545454545454545,\n\ \ \"acc_stderr\": 0.04554619617541054,\n \"acc_norm\": 0.6545454545454545,\n\ \ \"acc_norm_stderr\": 0.04554619617541054\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.7224489795918367,\n \"acc_stderr\": 0.028666857790274648,\n\ \ \"acc_norm\": 0.7224489795918367,\n \"acc_norm_stderr\": 0.028666857790274648\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.7810945273631841,\n\ \ \"acc_stderr\": 0.029239174636647,\n \"acc_norm\": 0.7810945273631841,\n\ \ \"acc_norm_stderr\": 0.029239174636647\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.79,\n \"acc_stderr\": 0.040936018074033256,\n \ \ \"acc_norm\": 0.79,\n \"acc_norm_stderr\": 0.040936018074033256\n \ \ },\n \"harness\|hendrycksTest-virology\|5\": {\n \"acc\": 0.5,\n \ \ \"acc_stderr\": 0.03892494720807614,\n \"acc_norm\": 0.5,\n \ \ \"acc_norm_stderr\": 0.03892494720807614\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.783625730994152,\n \"acc_stderr\": 0.031581495393387324,\n\ \ \"acc_norm\": 0.783625730994152,\n \"acc_norm_stderr\": 0.031581495393387324\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.2864137086903305,\n\ \ \"mc1_stderr\": 0.01582614243950236,\n \"mc2\": 0.4308666648887643,\n\ \ \"mc2_stderr\": 0.0144918724444321\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.7868981846882399,\n \"acc_stderr\": 0.011508957690722757\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.0,\n \"acc_stderr\"\ : 0.0\n }\n}\n```" repo_url: https://huggingface.co/macadeliccc/Mistral-7B-v0.2-OpenHermes 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: 2024_03_27T18_19_33.883845 path: - '/details_harness\|arc:challenge\|25_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2024-03-27T18-19-33.883845.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '/details_harness\|gsm8k\|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_03_27T18_19_33.883845 path: - '/details_harness\|hellaswag\|10_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-03-27T18-19-33.883845.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '/details_harness\|hendrycksTest-international_law\|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '/details_harness\|hendrycksTest-management\|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '/details_harness\|hendrycksTest-marketing\|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '/details_harness\|hendrycksTest-sociology\|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '/details_harness\|hendrycksTest-virology\|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_03_27T18_19_33.883845 path: - '/details_harness\|truthfulqa:mc\|0_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2024-03-27T18-19-33.883845.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '/details_harness\|winogrande\|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2024-03-27T18-19-33.883845.parquet' - config_name: results data_files: - split: 2024_03_27T18_19_33.883845 path: - results_2024-03-27T18-19-33.883845.parquet - split: latest path: - results_2024-03-27T18-19-33.883845.parquet --- # Dataset Card for Evaluation run of macadeliccc/Mistral-7B-v0.2-OpenHermes <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [macadeliccc/Mistral-7B-v0.2-OpenHermes](https://huggingface.co/macadeliccc/Mistral-7B-v0.2-OpenHermes) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 63 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 (and is used to compute and display the aggregated 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_macadeliccc__Mistral-7B-v0.2-OpenHermes", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-03-27T18:19:33.883845](https://huggingface.co/datasets/open-llm-leaderboard/details_macadeliccc__Mistral-7B-v0.2-OpenHermes/blob/main/results_2024-03-27T18-19-33.883845.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": 0.5919484433220782, "acc_stderr": 0.03315093682640097, "acc_norm": 0.6029228152554236, "acc_norm_stderr": 0.03406103831759794, "mc1": 0.2864137086903305, "mc1_stderr": 0.01582614243950236, "mc2": 0.4308666648887643, "mc2_stderr": 0.0144918724444321 }, "harness\|arc:challenge\|25": { "acc": 0.515358361774744, "acc_stderr": 0.014604496129394908, "acc_norm": 0.5580204778156996, "acc_norm_stderr": 0.01451268252312834 }, "harness\|hellaswag\|10": { "acc": 0.6082453694483171, "acc_stderr": 0.004871447106554927, "acc_norm": 0.816072495518821, "acc_norm_stderr": 0.0038663327313633263 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.35, "acc_stderr": 0.0479372485441102, "acc_norm": 0.35, "acc_norm_stderr": 0.0479372485441102 }, "harness\|hendrycksTest-anatomy\|5": { "acc": 0.5555555555555556, "acc_stderr": 0.04292596718256981, "acc_norm": 0.5555555555555556, "acc_norm_stderr": 0.04292596718256981 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.6118421052631579, "acc_stderr": 0.03965842097512744, "acc_norm": 0.6118421052631579, "acc_norm_stderr": 0.03965842097512744 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.57, "acc_stderr": 0.049756985195624284, "acc_norm": 0.57, "acc_norm_stderr": 0.049756985195624284 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.6792452830188679, "acc_stderr": 0.02872750295788027, "acc_norm": 0.6792452830188679, "acc_norm_stderr": 0.02872750295788027 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.6458333333333334, "acc_stderr": 0.039994111357535424, "acc_norm": 0.6458333333333334, "acc_norm_stderr": 0.039994111357535424 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.44, "acc_stderr": 0.04988876515698589, "acc_norm": 0.44, "acc_norm_stderr": 0.04988876515698589 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.46, "acc_stderr": 0.05009082659620332, "acc_norm": 0.46, "acc_norm_stderr": 0.05009082659620332 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.39, "acc_stderr": 0.04902071300001974, "acc_norm": 0.39, "acc_norm_stderr": 0.04902071300001974 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.5895953757225434, "acc_stderr": 0.037507570448955356, "acc_norm": 0.5895953757225434, "acc_norm_stderr": 0.037507570448955356 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.38235294117647056, "acc_stderr": 0.04835503696107223, "acc_norm": 0.38235294117647056, "acc_norm_stderr": 0.04835503696107223 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.74, "acc_stderr": 0.04408440022768078, "acc_norm": 0.74, "acc_norm_stderr": 0.04408440022768078 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.548936170212766, "acc_stderr": 0.032529096196131965, "acc_norm": 0.548936170212766, "acc_norm_stderr": 0.032529096196131965 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.4473684210526316, "acc_stderr": 0.04677473004491199, "acc_norm": 0.4473684210526316, "acc_norm_stderr": 0.04677473004491199 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.503448275862069, "acc_stderr": 0.041665675771015785, "acc_norm": 0.503448275862069, "acc_norm_stderr": 0.041665675771015785 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.3915343915343915, "acc_stderr": 0.025138091388851095, "acc_norm": 0.3915343915343915, "acc_norm_stderr": 0.025138091388851095 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.42063492063492064, "acc_stderr": 0.04415438226743744, "acc_norm": 0.42063492063492064, "acc_norm_stderr": 0.04415438226743744 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.35, "acc_stderr": 0.0479372485441102, "acc_norm": 0.35, "acc_norm_stderr": 0.0479372485441102 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.7064516129032258, "acc_stderr": 0.025906087021319295, "acc_norm": 0.7064516129032258, "acc_norm_stderr": 0.025906087021319295 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.43842364532019706, "acc_stderr": 0.03491207857486519, "acc_norm": 0.43842364532019706, "acc_norm_stderr": 0.03491207857486519 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.65, "acc_stderr": 0.04793724854411019, "acc_norm": 0.65, "acc_norm_stderr": 0.04793724854411019 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.7212121212121212, "acc_stderr": 0.03501438706296781, "acc_norm": 0.7212121212121212, "acc_norm_stderr": 0.03501438706296781 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.7525252525252525, "acc_stderr": 0.030746300742124488, "acc_norm": 0.7525252525252525, "acc_norm_stderr": 0.030746300742124488 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.8082901554404145, "acc_stderr": 0.02840895362624528, "acc_norm": 0.8082901554404145, "acc_norm_stderr": 0.02840895362624528 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.541025641025641, "acc_stderr": 0.025265525491284295, "acc_norm": 0.541025641025641, "acc_norm_stderr": 0.025265525491284295 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.3, "acc_stderr": 0.02794045713622841, "acc_norm": 0.3, "acc_norm_stderr": 0.02794045713622841 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.5588235294117647, "acc_stderr": 0.032252942323996406, "acc_norm": 0.5588235294117647, "acc_norm_stderr": 0.032252942323996406 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.33774834437086093, "acc_stderr": 0.038615575462551684, "acc_norm": 0.33774834437086093, "acc_norm_stderr": 0.038615575462551684 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.8, "acc_stderr": 0.017149858514250948, "acc_norm": 0.8, "acc_norm_stderr": 0.017149858514250948 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.4537037037037037, "acc_stderr": 0.033953227263757976, "acc_norm": 0.4537037037037037, "acc_norm_stderr": 0.033953227263757976 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.7696078431372549, "acc_stderr": 0.029554292605695063, "acc_norm": 0.7696078431372549, "acc_norm_stderr": 0.029554292605695063 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.8016877637130801, "acc_stderr": 0.02595502084162113, "acc_norm": 0.8016877637130801, "acc_norm_stderr": 0.02595502084162113 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.6547085201793722, "acc_stderr": 0.03191100192835795, "acc_norm": 0.6547085201793722, "acc_norm_stderr": 0.03191100192835795 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.7557251908396947, "acc_stderr": 0.037683359597287434, "acc_norm": 0.7557251908396947, "acc_norm_stderr": 0.037683359597287434 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.7768595041322314, "acc_stderr": 0.03800754475228732, "acc_norm": 0.7768595041322314, "acc_norm_stderr": 0.03800754475228732 }, "harness\|hendrycksTest-jurisprudence\|5": { "acc": 0.6944444444444444, "acc_stderr": 0.044531975073749834, "acc_norm": 0.6944444444444444, "acc_norm_stderr": 0.044531975073749834 }, "harness\|hendrycksTest-logical_fallacies\|5": { "acc": 0.754601226993865, "acc_stderr": 0.03380939813943354, "acc_norm": 0.754601226993865, "acc_norm_stderr": 0.03380939813943354 }, "harness\|hendrycksTest-machine_learning\|5": { "acc": 0.5, "acc_stderr": 0.04745789978762494, "acc_norm": 0.5, "acc_norm_stderr": 0.04745789978762494 }, "harness\|hendrycksTest-management\|5": { "acc": 0.6893203883495146, "acc_stderr": 0.04582124160161551, "acc_norm": 0.6893203883495146, "acc_norm_stderr": 0.04582124160161551 }, "harness\|hendrycksTest-marketing\|5": { "acc": 0.8504273504273504, "acc_stderr": 0.023365051491753715, "acc_norm": 0.8504273504273504, "acc_norm_stderr": 0.023365051491753715 }, "harness\|hendrycksTest-medical_genetics\|5": { "acc": 0.7, "acc_stderr": 0.046056618647183814, "acc_norm": 0.7, "acc_norm_stderr": 0.046056618647183814 }, "harness\|hendrycksTest-miscellaneous\|5": { "acc": 0.7713920817369093, "acc_stderr": 0.015016884698539873, "acc_norm": 0.7713920817369093, "acc_norm_stderr": 0.015016884698539873 }, "harness\|hendrycksTest-moral_disputes\|5": { "acc": 0.653179190751445, "acc_stderr": 0.025624723994030454, "acc_norm": 0.653179190751445, "acc_norm_stderr": 0.025624723994030454 }, "harness\|hendrycksTest-moral_scenarios\|5": { "acc": 0.3564245810055866, "acc_stderr": 0.016018239710513398, "acc_norm": 0.3564245810055866, "acc_norm_stderr": 0.016018239710513398 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.6405228758169934, "acc_stderr": 0.027475969910660952, "acc_norm": 0.6405228758169934, "acc_norm_stderr": 0.027475969910660952 }, "harness\|hendrycksTest-philosophy\|5": { "acc": 0.6977491961414791, "acc_stderr": 0.02608270069539966, "acc_norm": 0.6977491961414791, "acc_norm_stderr": 0.02608270069539966 }, "harness\|hendrycksTest-prehistory\|5": { "acc": 0.6666666666666666, "acc_stderr": 0.02622964917882116, "acc_norm": 0.6666666666666666, "acc_norm_stderr": 0.02622964917882116 }, "harness\|hendrycksTest-professional_accounting\|5": { "acc": 0.425531914893617, "acc_stderr": 0.029494827600144363, "acc_norm": 0.425531914893617, "acc_norm_stderr": 0.029494827600144363 }, "harness\|hendrycksTest-professional_law\|5": { "acc": 0.4361147327249022, "acc_stderr": 0.012665568135455333, "acc_norm": 0.4361147327249022, "acc_norm_stderr": 0.012665568135455333 }, "harness\|hendrycksTest-professional_medicine\|5": { "acc": 0.6029411764705882, "acc_stderr": 0.02972215209928006, "acc_norm": 0.6029411764705882, "acc_norm_stderr": 0.02972215209928006 }, "harness\|hendrycksTest-professional_psychology\|5": { "acc": 0.6241830065359477, "acc_stderr": 0.01959402113657744, "acc_norm": 0.6241830065359477, "acc_norm_stderr": 0.01959402113657744 }, "harness\|hendrycksTest-public_relations\|5": { "acc": 0.6545454545454545, "acc_stderr": 0.04554619617541054, "acc_norm": 0.6545454545454545, "acc_norm_stderr": 0.04554619617541054 }, "harness\|hendrycksTest-security_studies\|5": { "acc": 0.7224489795918367, "acc_stderr": 0.028666857790274648, "acc_norm": 0.7224489795918367, "acc_norm_stderr": 0.028666857790274648 }, "harness\|hendrycksTest-sociology\|5": { "acc": 0.7810945273631841, "acc_stderr": 0.029239174636647, "acc_norm": 0.7810945273631841, "acc_norm_stderr": 0.029239174636647 }, "harness\|hendrycksTest-us_foreign_policy\|5": { "acc": 0.79, "acc_stderr": 0.040936018074033256, "acc_norm": 0.79, "acc_norm_stderr": 0.040936018074033256 }, "harness\|hendrycksTest-virology\|5": { "acc": 0.5, "acc_stderr": 0.03892494720807614, "acc_norm": 0.5, "acc_norm_stderr": 0.03892494720807614 }, "harness\|hendrycksTest-world_religions\|5": { "acc": 0.783625730994152, "acc_stderr": 0.031581495393387324, "acc_norm": 0.783625730994152, "acc_norm_stderr": 0.031581495393387324 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.2864137086903305, "mc1_stderr": 0.01582614243950236, "mc2": 0.4308666648887643, "mc2_stderr": 0.0144918724444321 }, "harness\|winogrande\|5": { "acc": 0.7868981846882399, "acc_stderr": 0.011508957690722757 }, "harness\|gsm8k\|5": { "acc": 0.0, "acc_stderr": 0.0 } } ``` ## 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]
open-llm-leaderboard/details_ShinojiResearch__Senku-70B-Full	--- pretty_name: Evaluation run of ShinojiResearch/Senku-70B-Full dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [ShinojiResearch/Senku-70B-Full](https://huggingface.co/ShinojiResearch/Senku-70B-Full)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 63 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 aggregated 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_ShinojiResearch__Senku-70B-Full\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-02-09T22:09:19.492878](https://huggingface.co/datasets/open-llm-leaderboard/details_ShinojiResearch__Senku-70B-Full/blob/main/results_2024-02-09T22-09-19.492878.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\": 0.7505923110347043,\n\ \ \"acc_stderr\": 0.02868102140930387,\n \"acc_norm\": 0.7535032633378316,\n\ \ \"acc_norm_stderr\": 0.029238591782710294,\n \"mc1\": 0.4541003671970624,\n\ \ \"mc1_stderr\": 0.017429593091323522,\n \"mc2\": 0.619572860600058,\n\ \ \"mc2_stderr\": 0.014905285944975092\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.6680887372013652,\n \"acc_stderr\": 0.013760988200880534,\n\ \ \"acc_norm\": 0.7150170648464164,\n \"acc_norm_stderr\": 0.013191348179838793\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.6940848436566421,\n\ \ \"acc_stderr\": 0.004598522271041222,\n \"acc_norm\": 0.8788090021907986,\n\ \ \"acc_norm_stderr\": 0.003256821418857317\n },\n \"harness\|hendrycksTest-abstract_algebra\|5\"\ : {\n \"acc\": 0.41,\n \"acc_stderr\": 0.049431107042371025,\n \ \ \"acc_norm\": 0.41,\n \"acc_norm_stderr\": 0.049431107042371025\n \ \ },\n \"harness\|hendrycksTest-anatomy\|5\": {\n \"acc\": 0.6888888888888889,\n\ \ \"acc_stderr\": 0.03999262876617722,\n \"acc_norm\": 0.6888888888888889,\n\ \ \"acc_norm_stderr\": 0.03999262876617722\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.8355263157894737,\n \"acc_stderr\": 0.030167533468632726,\n\ \ \"acc_norm\": 0.8355263157894737,\n \"acc_norm_stderr\": 0.030167533468632726\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|5\": {\n \"acc\": 0.8,\n\ \ \"acc_stderr\": 0.04020151261036845,\n \"acc_norm\": 0.8,\n \ \ \"acc_norm_stderr\": 0.04020151261036845\n },\n \"harness\|hendrycksTest-clinical_knowledge\|5\"\ : {\n \"acc\": 0.7962264150943397,\n \"acc_stderr\": 0.024790784501775406,\n\ \ \"acc_norm\": 0.7962264150943397,\n \"acc_norm_stderr\": 0.024790784501775406\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.8888888888888888,\n\ \ \"acc_stderr\": 0.02628055093284808,\n \"acc_norm\": 0.8888888888888888,\n\ \ \"acc_norm_stderr\": 0.02628055093284808\n },\n \"harness\|hendrycksTest-college_chemistry\|5\"\ : {\n \"acc\": 0.53,\n \"acc_stderr\": 0.05016135580465919,\n \ \ \"acc_norm\": 0.53,\n \"acc_norm_stderr\": 0.05016135580465919\n \ \ },\n \"harness\|hendrycksTest-college_computer_science\|5\": {\n \"acc\"\ : 0.63,\n \"acc_stderr\": 0.04852365870939099,\n \"acc_norm\": 0.63,\n\ \ \"acc_norm_stderr\": 0.04852365870939099\n },\n \"harness\|hendrycksTest-college_mathematics\|5\"\ : {\n \"acc\": 0.5,\n \"acc_stderr\": 0.050251890762960605,\n \ \ \"acc_norm\": 0.5,\n \"acc_norm_stderr\": 0.050251890762960605\n \ \ },\n \"harness\|hendrycksTest-college_medicine\|5\": {\n \"acc\": 0.7456647398843931,\n\ \ \"acc_stderr\": 0.0332055644308557,\n \"acc_norm\": 0.7456647398843931,\n\ \ \"acc_norm_stderr\": 0.0332055644308557\n },\n \"harness\|hendrycksTest-college_physics\|5\"\ : {\n \"acc\": 0.4803921568627451,\n \"acc_stderr\": 0.04971358884367406,\n\ \ \"acc_norm\": 0.4803921568627451,\n \"acc_norm_stderr\": 0.04971358884367406\n\ \ },\n \"harness\|hendrycksTest-computer_security\|5\": {\n \"acc\":\ \ 0.78,\n \"acc_stderr\": 0.04163331998932261,\n \"acc_norm\": 0.78,\n\ \ \"acc_norm_stderr\": 0.04163331998932261\n },\n \"harness\|hendrycksTest-conceptual_physics\|5\"\ : {\n \"acc\": 0.7404255319148936,\n \"acc_stderr\": 0.02865917937429232,\n\ \ \"acc_norm\": 0.7404255319148936,\n \"acc_norm_stderr\": 0.02865917937429232\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.5964912280701754,\n\ \ \"acc_stderr\": 0.04615186962583707,\n \"acc_norm\": 0.5964912280701754,\n\ \ \"acc_norm_stderr\": 0.04615186962583707\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.696551724137931,\n \"acc_stderr\": 0.038312260488503336,\n\ \ \"acc_norm\": 0.696551724137931,\n \"acc_norm_stderr\": 0.038312260488503336\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.5423280423280423,\n \"acc_stderr\": 0.025658868862058322,\n \"\ acc_norm\": 0.5423280423280423,\n \"acc_norm_stderr\": 0.025658868862058322\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.5238095238095238,\n\ \ \"acc_stderr\": 0.04467062628403273,\n \"acc_norm\": 0.5238095238095238,\n\ \ \"acc_norm_stderr\": 0.04467062628403273\n },\n \"harness\|hendrycksTest-global_facts\|5\"\ : {\n \"acc\": 0.48,\n \"acc_stderr\": 0.050211673156867795,\n \ \ \"acc_norm\": 0.48,\n \"acc_norm_stderr\": 0.050211673156867795\n \ \ },\n \"harness\|hendrycksTest-high_school_biology\|5\": {\n \"acc\"\ : 0.8838709677419355,\n \"acc_stderr\": 0.018225757949432302,\n \"\ acc_norm\": 0.8838709677419355,\n \"acc_norm_stderr\": 0.018225757949432302\n\ \ },\n \"harness\|hendrycksTest-high_school_chemistry\|5\": {\n \"acc\"\ : 0.6206896551724138,\n \"acc_stderr\": 0.034139638059062345,\n \"\ acc_norm\": 0.6206896551724138,\n \"acc_norm_stderr\": 0.034139638059062345\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|5\": {\n \ \ \"acc\": 0.84,\n \"acc_stderr\": 0.03684529491774708,\n \"acc_norm\"\ : 0.84,\n \"acc_norm_stderr\": 0.03684529491774708\n },\n \"harness\|hendrycksTest-high_school_european_history\|5\"\ : {\n \"acc\": 0.8545454545454545,\n \"acc_stderr\": 0.027530196355066584,\n\ \ \"acc_norm\": 0.8545454545454545,\n \"acc_norm_stderr\": 0.027530196355066584\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.9040404040404041,\n \"acc_stderr\": 0.020984808610047926,\n \"\ acc_norm\": 0.9040404040404041,\n \"acc_norm_stderr\": 0.020984808610047926\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.9430051813471503,\n \"acc_stderr\": 0.016731085293607558,\n\ \ \"acc_norm\": 0.9430051813471503,\n \"acc_norm_stderr\": 0.016731085293607558\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.7794871794871795,\n \"acc_stderr\": 0.0210206726808279,\n \ \ \"acc_norm\": 0.7794871794871795,\n \"acc_norm_stderr\": 0.0210206726808279\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.4148148148148148,\n \"acc_stderr\": 0.03003984245406929,\n \ \ \"acc_norm\": 0.4148148148148148,\n \"acc_norm_stderr\": 0.03003984245406929\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.8529411764705882,\n \"acc_stderr\": 0.023005459446673936,\n\ \ \"acc_norm\": 0.8529411764705882,\n \"acc_norm_stderr\": 0.023005459446673936\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.5165562913907285,\n \"acc_stderr\": 0.04080244185628972,\n \"\ acc_norm\": 0.5165562913907285,\n \"acc_norm_stderr\": 0.04080244185628972\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.9302752293577982,\n \"acc_stderr\": 0.010919426411848614,\n \"\ acc_norm\": 0.9302752293577982,\n \"acc_norm_stderr\": 0.010919426411848614\n\ \ },\n \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\"\ : 0.6620370370370371,\n \"acc_stderr\": 0.03225941352631295,\n \"\ acc_norm\": 0.6620370370370371,\n \"acc_norm_stderr\": 0.03225941352631295\n\ \ },\n \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\"\ : 0.9117647058823529,\n \"acc_stderr\": 0.019907399791316942,\n \"\ acc_norm\": 0.9117647058823529,\n \"acc_norm_stderr\": 0.019907399791316942\n\ \ },\n \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"\ acc\": 0.8987341772151899,\n \"acc_stderr\": 0.019637720526065505,\n \ \ \"acc_norm\": 0.8987341772151899,\n \"acc_norm_stderr\": 0.019637720526065505\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.8161434977578476,\n\ \ \"acc_stderr\": 0.025998379092356513,\n \"acc_norm\": 0.8161434977578476,\n\ \ \"acc_norm_stderr\": 0.025998379092356513\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.8778625954198473,\n \"acc_stderr\": 0.02871877688934232,\n\ \ \"acc_norm\": 0.8778625954198473,\n \"acc_norm_stderr\": 0.02871877688934232\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.9173553719008265,\n \"acc_stderr\": 0.025135382356604227,\n \"\ acc_norm\": 0.9173553719008265,\n \"acc_norm_stderr\": 0.025135382356604227\n\ \ },\n \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.8703703703703703,\n\ \ \"acc_stderr\": 0.03247224389917948,\n \"acc_norm\": 0.8703703703703703,\n\ \ \"acc_norm_stderr\": 0.03247224389917948\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.8282208588957055,\n \"acc_stderr\": 0.02963471727237103,\n\ \ \"acc_norm\": 0.8282208588957055,\n \"acc_norm_stderr\": 0.02963471727237103\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.6607142857142857,\n\ \ \"acc_stderr\": 0.04493949068613539,\n \"acc_norm\": 0.6607142857142857,\n\ \ \"acc_norm_stderr\": 0.04493949068613539\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.8737864077669902,\n \"acc_stderr\": 0.03288180278808629,\n\ \ \"acc_norm\": 0.8737864077669902,\n \"acc_norm_stderr\": 0.03288180278808629\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.9358974358974359,\n\ \ \"acc_stderr\": 0.016046261631673137,\n \"acc_norm\": 0.9358974358974359,\n\ \ \"acc_norm_stderr\": 0.016046261631673137\n },\n \"harness\|hendrycksTest-medical_genetics\|5\"\ : {\n \"acc\": 0.81,\n \"acc_stderr\": 0.03942772444036623,\n \ \ \"acc_norm\": 0.81,\n \"acc_norm_stderr\": 0.03942772444036623\n \ \ },\n \"harness\|hendrycksTest-miscellaneous\|5\": {\n \"acc\": 0.8991060025542784,\n\ \ \"acc_stderr\": 0.010770472014886715,\n \"acc_norm\": 0.8991060025542784,\n\ \ \"acc_norm_stderr\": 0.010770472014886715\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.8208092485549133,\n \"acc_stderr\": 0.020647590029679332,\n\ \ \"acc_norm\": 0.8208092485549133,\n \"acc_norm_stderr\": 0.020647590029679332\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.6815642458100558,\n\ \ \"acc_stderr\": 0.015581008080360274,\n \"acc_norm\": 0.6815642458100558,\n\ \ \"acc_norm_stderr\": 0.015581008080360274\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.8333333333333334,\n \"acc_stderr\": 0.021339479988816027,\n\ \ \"acc_norm\": 0.8333333333333334,\n \"acc_norm_stderr\": 0.021339479988816027\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.8231511254019293,\n\ \ \"acc_stderr\": 0.021670058885510782,\n \"acc_norm\": 0.8231511254019293,\n\ \ \"acc_norm_stderr\": 0.021670058885510782\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.8672839506172839,\n \"acc_stderr\": 0.01887735383957185,\n\ \ \"acc_norm\": 0.8672839506172839,\n \"acc_norm_stderr\": 0.01887735383957185\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.5815602836879432,\n \"acc_stderr\": 0.029427994039419998,\n \ \ \"acc_norm\": 0.5815602836879432,\n \"acc_norm_stderr\": 0.029427994039419998\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.5821382007822686,\n\ \ \"acc_stderr\": 0.012596744108998569,\n \"acc_norm\": 0.5821382007822686,\n\ \ \"acc_norm_stderr\": 0.012596744108998569\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.8125,\n \"acc_stderr\": 0.023709788253811766,\n \ \ \"acc_norm\": 0.8125,\n \"acc_norm_stderr\": 0.023709788253811766\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.8202614379084967,\n \"acc_stderr\": 0.01553374508338279,\n \ \ \"acc_norm\": 0.8202614379084967,\n \"acc_norm_stderr\": 0.01553374508338279\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.7363636363636363,\n\ \ \"acc_stderr\": 0.04220224692971987,\n \"acc_norm\": 0.7363636363636363,\n\ \ \"acc_norm_stderr\": 0.04220224692971987\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.8367346938775511,\n \"acc_stderr\": 0.023661699177098608,\n\ \ \"acc_norm\": 0.8367346938775511,\n \"acc_norm_stderr\": 0.023661699177098608\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.9104477611940298,\n\ \ \"acc_stderr\": 0.02019067053502791,\n \"acc_norm\": 0.9104477611940298,\n\ \ \"acc_norm_stderr\": 0.02019067053502791\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.94,\n \"acc_stderr\": 0.02386832565759415,\n \ \ \"acc_norm\": 0.94,\n \"acc_norm_stderr\": 0.02386832565759415\n \ \ },\n \"harness\|hendrycksTest-virology\|5\": {\n \"acc\": 0.5662650602409639,\n\ \ \"acc_stderr\": 0.03858158940685515,\n \"acc_norm\": 0.5662650602409639,\n\ \ \"acc_norm_stderr\": 0.03858158940685515\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.8830409356725146,\n \"acc_stderr\": 0.024648068961366152,\n\ \ \"acc_norm\": 0.8830409356725146,\n \"acc_norm_stderr\": 0.024648068961366152\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.4541003671970624,\n\ \ \"mc1_stderr\": 0.017429593091323522,\n \"mc2\": 0.619572860600058,\n\ \ \"mc2_stderr\": 0.014905285944975092\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.8476716653512234,\n \"acc_stderr\": 0.010099208246065583\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.7134192570128886,\n \ \ \"acc_stderr\": 0.012454841668337688\n }\n}\n```" repo_url: https://huggingface.co/ShinojiResearch/Senku-70B-Full 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: 2024_02_09T21_53_37.284416 path: - '/details_harness\|arc:challenge\|25_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '/details_harness\|arc:challenge\|25_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2024-02-09T22-09-19.492878.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '/details_harness\|gsm8k\|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '/details_harness\|gsm8k\|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_02_09T21_53_37.284416 path: - '/details_harness\|hellaswag\|10_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '/details_harness\|hellaswag\|10_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-02-09T21-53-37.284416.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-02-09T21-53-37.284416.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-02-09T21-53-37.284416.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-02-09T21-53-37.284416.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-02-09T21-53-37.284416.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-02-09T21-53-37.284416.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-02-09T21-53-37.284416.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-02-09T21-53-37.284416.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-02-09T21-53-37.284416.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-02-09T21-53-37.284416.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-02-09T21-53-37.284416.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-02-09T21-53-37.284416.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-02-09T21-53-37.284416.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-02-09T21-53-37.284416.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-02-09T21-53-37.284416.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-02-09T21-53-37.284416.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-02-09T21-53-37.284416.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-02-09T21-53-37.284416.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-02-09T21-53-37.284416.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-02-09T21-53-37.284416.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-02-09T21-53-37.284416.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-02-09T21-53-37.284416.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-02-09T21-53-37.284416.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-02-09T21-53-37.284416.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-02-09T21-53-37.284416.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-02-09T21-53-37.284416.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-02-09T21-53-37.284416.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-02-09T21-53-37.284416.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-02-09T21-53-37.284416.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-02-09T21-53-37.284416.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-02-09T21-53-37.284416.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-02-09T21-53-37.284416.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-02-09T21-53-37.284416.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-02-09T21-53-37.284416.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-02-09T21-53-37.284416.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-02-09T21-53-37.284416.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-02-09T21-53-37.284416.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-02-09T21-53-37.284416.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-02-09T21-53-37.284416.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-02-09T21-53-37.284416.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-02-09T21-53-37.284416.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-02-09T21-53-37.284416.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-02-09T21-53-37.284416.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-02-09T21-53-37.284416.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-02-09T21-53-37.284416.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-02-09T21-53-37.284416.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-02-09T21-53-37.284416.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-02-09T21-53-37.284416.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-02-09T21-53-37.284416.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-02-09T21-53-37.284416.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-02-09T21-53-37.284416.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-02-09T21-53-37.284416.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-02-09T21-53-37.284416.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-02-09T21-53-37.284416.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-02-09T21-53-37.284416.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-02-09T21-53-37.284416.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-02-09T22-09-19.492878.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '/details_harness\|hendrycksTest-international_law\|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '/details_harness\|hendrycksTest-international_law\|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '/details_harness\|hendrycksTest-management\|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '/details_harness\|hendrycksTest-management\|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '/details_harness\|hendrycksTest-marketing\|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '/details_harness\|hendrycksTest-marketing\|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '/details_harness\|hendrycksTest-sociology\|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '/details_harness\|hendrycksTest-sociology\|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '/details_harness\|hendrycksTest-virology\|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '/details_harness\|hendrycksTest-virology\|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_02_09T21_53_37.284416 path: - '/details_harness\|truthfulqa:mc\|0_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '/details_harness\|truthfulqa:mc\|0_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2024-02-09T22-09-19.492878.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '/details_harness\|winogrande\|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '/details_harness\|winogrande\|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2024-02-09T22-09-19.492878.parquet' - config_name: results data_files: - split: 2024_02_09T21_53_37.284416 path: - results_2024-02-09T21-53-37.284416.parquet - split: 2024_02_09T22_09_19.492878 path: - results_2024-02-09T22-09-19.492878.parquet - split: latest path: - results_2024-02-09T22-09-19.492878.parquet --- # Dataset Card for Evaluation run of ShinojiResearch/Senku-70B-Full <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [ShinojiResearch/Senku-70B-Full](https://huggingface.co/ShinojiResearch/Senku-70B-Full) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 63 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 aggregated 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_ShinojiResearch__Senku-70B-Full", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-02-09T22:09:19.492878](https://huggingface.co/datasets/open-llm-leaderboard/details_ShinojiResearch__Senku-70B-Full/blob/main/results_2024-02-09T22-09-19.492878.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": 0.7505923110347043, "acc_stderr": 0.02868102140930387, "acc_norm": 0.7535032633378316, "acc_norm_stderr": 0.029238591782710294, "mc1": 0.4541003671970624, "mc1_stderr": 0.017429593091323522, "mc2": 0.619572860600058, "mc2_stderr": 0.014905285944975092 }, "harness\|arc:challenge\|25": { "acc": 0.6680887372013652, "acc_stderr": 0.013760988200880534, "acc_norm": 0.7150170648464164, "acc_norm_stderr": 0.013191348179838793 }, "harness\|hellaswag\|10": { "acc": 0.6940848436566421, "acc_stderr": 0.004598522271041222, "acc_norm": 0.8788090021907986, "acc_norm_stderr": 0.003256821418857317 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.41, "acc_stderr": 0.049431107042371025, "acc_norm": 0.41, "acc_norm_stderr": 0.049431107042371025 }, "harness\|hendrycksTest-anatomy\|5": { "acc": 0.6888888888888889, "acc_stderr": 0.03999262876617722, "acc_norm": 0.6888888888888889, "acc_norm_stderr": 0.03999262876617722 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.8355263157894737, "acc_stderr": 0.030167533468632726, "acc_norm": 0.8355263157894737, "acc_norm_stderr": 0.030167533468632726 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.8, "acc_stderr": 0.04020151261036845, "acc_norm": 0.8, "acc_norm_stderr": 0.04020151261036845 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.7962264150943397, "acc_stderr": 0.024790784501775406, "acc_norm": 0.7962264150943397, "acc_norm_stderr": 0.024790784501775406 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.8888888888888888, "acc_stderr": 0.02628055093284808, "acc_norm": 0.8888888888888888, "acc_norm_stderr": 0.02628055093284808 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.53, "acc_stderr": 0.05016135580465919, "acc_norm": 0.53, "acc_norm_stderr": 0.05016135580465919 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.63, "acc_stderr": 0.04852365870939099, "acc_norm": 0.63, "acc_norm_stderr": 0.04852365870939099 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.5, "acc_stderr": 0.050251890762960605, "acc_norm": 0.5, "acc_norm_stderr": 0.050251890762960605 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.7456647398843931, "acc_stderr": 0.0332055644308557, "acc_norm": 0.7456647398843931, "acc_norm_stderr": 0.0332055644308557 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.4803921568627451, "acc_stderr": 0.04971358884367406, "acc_norm": 0.4803921568627451, "acc_norm_stderr": 0.04971358884367406 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.78, "acc_stderr": 0.04163331998932261, "acc_norm": 0.78, "acc_norm_stderr": 0.04163331998932261 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.7404255319148936, "acc_stderr": 0.02865917937429232, "acc_norm": 0.7404255319148936, "acc_norm_stderr": 0.02865917937429232 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.5964912280701754, "acc_stderr": 0.04615186962583707, "acc_norm": 0.5964912280701754, "acc_norm_stderr": 0.04615186962583707 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.696551724137931, "acc_stderr": 0.038312260488503336, "acc_norm": 0.696551724137931, "acc_norm_stderr": 0.038312260488503336 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.5423280423280423, "acc_stderr": 0.025658868862058322, "acc_norm": 0.5423280423280423, "acc_norm_stderr": 0.025658868862058322 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.5238095238095238, "acc_stderr": 0.04467062628403273, "acc_norm": 0.5238095238095238, "acc_norm_stderr": 0.04467062628403273 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.48, "acc_stderr": 0.050211673156867795, "acc_norm": 0.48, "acc_norm_stderr": 0.050211673156867795 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.8838709677419355, "acc_stderr": 0.018225757949432302, "acc_norm": 0.8838709677419355, "acc_norm_stderr": 0.018225757949432302 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.6206896551724138, "acc_stderr": 0.034139638059062345, "acc_norm": 0.6206896551724138, "acc_norm_stderr": 0.034139638059062345 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.84, "acc_stderr": 0.03684529491774708, "acc_norm": 0.84, "acc_norm_stderr": 0.03684529491774708 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.8545454545454545, "acc_stderr": 0.027530196355066584, "acc_norm": 0.8545454545454545, "acc_norm_stderr": 0.027530196355066584 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.9040404040404041, "acc_stderr": 0.020984808610047926, "acc_norm": 0.9040404040404041, "acc_norm_stderr": 0.020984808610047926 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.9430051813471503, "acc_stderr": 0.016731085293607558, "acc_norm": 0.9430051813471503, "acc_norm_stderr": 0.016731085293607558 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.7794871794871795, "acc_stderr": 0.0210206726808279, "acc_norm": 0.7794871794871795, "acc_norm_stderr": 0.0210206726808279 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.4148148148148148, "acc_stderr": 0.03003984245406929, "acc_norm": 0.4148148148148148, "acc_norm_stderr": 0.03003984245406929 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.8529411764705882, "acc_stderr": 0.023005459446673936, "acc_norm": 0.8529411764705882, "acc_norm_stderr": 0.023005459446673936 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.5165562913907285, "acc_stderr": 0.04080244185628972, "acc_norm": 0.5165562913907285, "acc_norm_stderr": 0.04080244185628972 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.9302752293577982, "acc_stderr": 0.010919426411848614, "acc_norm": 0.9302752293577982, "acc_norm_stderr": 0.010919426411848614 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.6620370370370371, "acc_stderr": 0.03225941352631295, "acc_norm": 0.6620370370370371, "acc_norm_stderr": 0.03225941352631295 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.9117647058823529, "acc_stderr": 0.019907399791316942, "acc_norm": 0.9117647058823529, "acc_norm_stderr": 0.019907399791316942 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.8987341772151899, "acc_stderr": 0.019637720526065505, "acc_norm": 0.8987341772151899, "acc_norm_stderr": 0.019637720526065505 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.8161434977578476, "acc_stderr": 0.025998379092356513, "acc_norm": 0.8161434977578476, "acc_norm_stderr": 0.025998379092356513 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.8778625954198473, "acc_stderr": 0.02871877688934232, "acc_norm": 0.8778625954198473, "acc_norm_stderr": 0.02871877688934232 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.9173553719008265, "acc_stderr": 0.025135382356604227, "acc_norm": 0.9173553719008265, "acc_norm_stderr": 0.025135382356604227 }, "harness\|hendrycksTest-jurisprudence\|5": { "acc": 0.8703703703703703, "acc_stderr": 0.03247224389917948, "acc_norm": 0.8703703703703703, "acc_norm_stderr": 0.03247224389917948 }, "harness\|hendrycksTest-logical_fallacies\|5": { "acc": 0.8282208588957055, "acc_stderr": 0.02963471727237103, "acc_norm": 0.8282208588957055, "acc_norm_stderr": 0.02963471727237103 }, "harness\|hendrycksTest-machine_learning\|5": { "acc": 0.6607142857142857, "acc_stderr": 0.04493949068613539, "acc_norm": 0.6607142857142857, "acc_norm_stderr": 0.04493949068613539 }, "harness\|hendrycksTest-management\|5": { "acc": 0.8737864077669902, "acc_stderr": 0.03288180278808629, "acc_norm": 0.8737864077669902, "acc_norm_stderr": 0.03288180278808629 }, "harness\|hendrycksTest-marketing\|5": { "acc": 0.9358974358974359, "acc_stderr": 0.016046261631673137, "acc_norm": 0.9358974358974359, "acc_norm_stderr": 0.016046261631673137 }, "harness\|hendrycksTest-medical_genetics\|5": { "acc": 0.81, "acc_stderr": 0.03942772444036623, "acc_norm": 0.81, "acc_norm_stderr": 0.03942772444036623 }, "harness\|hendrycksTest-miscellaneous\|5": { "acc": 0.8991060025542784, "acc_stderr": 0.010770472014886715, "acc_norm": 0.8991060025542784, "acc_norm_stderr": 0.010770472014886715 }, "harness\|hendrycksTest-moral_disputes\|5": { "acc": 0.8208092485549133, "acc_stderr": 0.020647590029679332, "acc_norm": 0.8208092485549133, "acc_norm_stderr": 0.020647590029679332 }, "harness\|hendrycksTest-moral_scenarios\|5": { "acc": 0.6815642458100558, "acc_stderr": 0.015581008080360274, "acc_norm": 0.6815642458100558, "acc_norm_stderr": 0.015581008080360274 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.8333333333333334, "acc_stderr": 0.021339479988816027, "acc_norm": 0.8333333333333334, "acc_norm_stderr": 0.021339479988816027 }, "harness\|hendrycksTest-philosophy\|5": { "acc": 0.8231511254019293, "acc_stderr": 0.021670058885510782, "acc_norm": 0.8231511254019293, "acc_norm_stderr": 0.021670058885510782 }, "harness\|hendrycksTest-prehistory\|5": { "acc": 0.8672839506172839, "acc_stderr": 0.01887735383957185, "acc_norm": 0.8672839506172839, "acc_norm_stderr": 0.01887735383957185 }, "harness\|hendrycksTest-professional_accounting\|5": { "acc": 0.5815602836879432, "acc_stderr": 0.029427994039419998, "acc_norm": 0.5815602836879432, "acc_norm_stderr": 0.029427994039419998 }, "harness\|hendrycksTest-professional_law\|5": { "acc": 0.5821382007822686, "acc_stderr": 0.012596744108998569, "acc_norm": 0.5821382007822686, "acc_norm_stderr": 0.012596744108998569 }, "harness\|hendrycksTest-professional_medicine\|5": { "acc": 0.8125, "acc_stderr": 0.023709788253811766, "acc_norm": 0.8125, "acc_norm_stderr": 0.023709788253811766 }, "harness\|hendrycksTest-professional_psychology\|5": { "acc": 0.8202614379084967, "acc_stderr": 0.01553374508338279, "acc_norm": 0.8202614379084967, "acc_norm_stderr": 0.01553374508338279 }, "harness\|hendrycksTest-public_relations\|5": { "acc": 0.7363636363636363, "acc_stderr": 0.04220224692971987, "acc_norm": 0.7363636363636363, "acc_norm_stderr": 0.04220224692971987 }, "harness\|hendrycksTest-security_studies\|5": { "acc": 0.8367346938775511, "acc_stderr": 0.023661699177098608, "acc_norm": 0.8367346938775511, "acc_norm_stderr": 0.023661699177098608 }, "harness\|hendrycksTest-sociology\|5": { "acc": 0.9104477611940298, "acc_stderr": 0.02019067053502791, "acc_norm": 0.9104477611940298, "acc_norm_stderr": 0.02019067053502791 }, "harness\|hendrycksTest-us_foreign_policy\|5": { "acc": 0.94, "acc_stderr": 0.02386832565759415, "acc_norm": 0.94, "acc_norm_stderr": 0.02386832565759415 }, "harness\|hendrycksTest-virology\|5": { "acc": 0.5662650602409639, "acc_stderr": 0.03858158940685515, "acc_norm": 0.5662650602409639, "acc_norm_stderr": 0.03858158940685515 }, "harness\|hendrycksTest-world_religions\|5": { "acc": 0.8830409356725146, "acc_stderr": 0.024648068961366152, "acc_norm": 0.8830409356725146, "acc_norm_stderr": 0.024648068961366152 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.4541003671970624, "mc1_stderr": 0.017429593091323522, "mc2": 0.619572860600058, "mc2_stderr": 0.014905285944975092 }, "harness\|winogrande\|5": { "acc": 0.8476716653512234, "acc_stderr": 0.010099208246065583 }, "harness\|gsm8k\|5": { "acc": 0.7134192570128886, "acc_stderr": 0.012454841668337688 } } ``` ## 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]
jeremygf/domains-app-alpha	--- dataset_info: features: - name: text dtype: string - name: length dtype: int64 - name: ids sequence: int64 splits: - name: train num_bytes: 98587954 num_examples: 534152 download_size: 9814171 dataset_size: 98587954 configs: - config_name: default data_files: - split: train path: data/train-* ---
CyberHarem/closure_arknights	--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of Closure/クロージャ/可露希尔 (Arknights) This is the dataset of Closure/クロージャ/可露希尔 (Arknights), containing 132 images and their tags. The core tags of this character are `black_hair, long_hair, pointy_ears, red_eyes, hair_between_eyes, breasts, two_side_up`, which are pruned in this dataset. Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)). ## List of Packages \| Name \| Images \| Size \| Download \| Type \| Description \| \|:-----------------\|---------:\|:-----------\|:-------------------------------------------------------------------------------------------------------------------\|:-----------\|:---------------------------------------------------------------------\| \| raw \| 132 \| 225.79 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/closure_arknights/resolve/main/dataset-raw.zip) \| Waifuc-Raw \| Raw data with meta information (min edge aligned to 1400 if larger). \| \| 1200 \| 132 \| 187.22 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/closure_arknights/resolve/main/dataset-1200.zip) \| IMG+TXT \| dataset with the shorter side not exceeding 1200 pixels. \| \| stage3-p480-1200 \| 327 \| 374.75 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/closure_arknights/resolve/main/dataset-stage3-p480-1200.zip) \| IMG+TXT \| 3-stage cropped dataset with the area not less than 480x480 pixels. \| ### Load Raw Dataset with Waifuc We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code ```python import os import zipfile from huggingface_hub import hf_hub_download from waifuc.source import LocalSource # download raw archive file zip_file = hf_hub_download( repo_id='CyberHarem/closure_arknights', repo_type='dataset', filename='dataset-raw.zip', ) # extract files to your directory dataset_dir = 'dataset_dir' os.makedirs(dataset_dir, exist_ok=True) with zipfile.ZipFile(zip_file, 'r') as zf: zf.extractall(dataset_dir) # load the dataset with waifuc source = LocalSource(dataset_dir) for item in source: print(item.image, item.meta['filename'], item.meta['tags']) ``` ## List of Clusters List of tag clustering result, maybe some outfits can be mined here. ### Raw Text Version \| # \| Samples \| Img-1 \| Img-2 \| Img-3 \| Img-4 \| Img-5 \| Tags \| \|----:\|----------:\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\| \| 0 \| 27 \| ![](samples/0/clu0-sample0.png) \| ![](samples/0/clu0-sample1.png) \| ![](samples/0/clu0-sample2.png) \| ![](samples/0/clu0-sample3.png) \| ![](samples/0/clu0-sample4.png) \| 1girl, black_jacket, white_shirt, open_jacket, solo, looking_at_viewer, black_choker, smile, long_sleeves, simple_background, collarbone, white_background, open_mouth, upper_body, blush, fang, belt \| ### Table Version \| # \| Samples \| Img-1 \| Img-2 \| Img-3 \| Img-4 \| Img-5 \| 1girl \| black_jacket \| white_shirt \| open_jacket \| solo \| looking_at_viewer \| black_choker \| smile \| long_sleeves \| simple_background \| collarbone \| white_background \| open_mouth \| upper_body \| blush \| fang \| belt \| \|----:\|----------:\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------\|:---------------\|:--------------\|:--------------\|:-------\|:--------------------\|:---------------\|:--------\|:---------------\|:--------------------\|:-------------\|:-------------------\|:-------------\|:-------------\|:--------\|:-------\|:-------\| \| 0 \| 27 \| ![](samples/0/clu0-sample0.png) \| ![](samples/0/clu0-sample1.png) \| ![](samples/0/clu0-sample2.png) \| ![](samples/0/clu0-sample3.png) \| ![](samples/0/clu0-sample4.png) \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \|
open-llm-leaderboard/details_Sao10K__Venomia-m7	--- pretty_name: Evaluation run of Sao10K/Venomia-m7 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [Sao10K/Venomia-m7](https://huggingface.co/Sao10K/Venomia-m7) on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 63 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 (and is used to compute and display the aggregated 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_Sao10K__Venomia-m7\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-12-09T19:38:57.975905](https://huggingface.co/datasets/open-llm-leaderboard/details_Sao10K__Venomia-m7/blob/main/results_2023-12-09T19-38-57.975905.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\": 0.5994561896653553,\n\ \ \"acc_stderr\": 0.032914574924459074,\n \"acc_norm\": 0.6051903322222639,\n\ \ \"acc_norm_stderr\": 0.03358493802168653,\n \"mc1\": 0.34149326805385555,\n\ \ \"mc1_stderr\": 0.016600688619950826,\n \"mc2\": 0.49078721070216347,\n\ \ \"mc2_stderr\": 0.015495976475887885\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.5870307167235495,\n \"acc_stderr\": 0.014388344935398326,\n\ \ \"acc_norm\": 0.6313993174061433,\n \"acc_norm_stderr\": 0.014097810678042194\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.6635132443736308,\n\ \ \"acc_stderr\": 0.004715419139697519,\n \"acc_norm\": 0.8399721171081458,\n\ \ \"acc_norm_stderr\": 0.0036588262081016106\n },\n \"harness\|hendrycksTest-abstract_algebra\|5\"\ : {\n \"acc\": 0.31,\n \"acc_stderr\": 0.04648231987117316,\n \ \ \"acc_norm\": 0.31,\n \"acc_norm_stderr\": 0.04648231987117316\n \ \ },\n \"harness\|hendrycksTest-anatomy\|5\": {\n \"acc\": 0.6,\n \ \ \"acc_stderr\": 0.042320736951515885,\n \"acc_norm\": 0.6,\n \"\ acc_norm_stderr\": 0.042320736951515885\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.6381578947368421,\n \"acc_stderr\": 0.039105257528497236,\n\ \ \"acc_norm\": 0.6381578947368421,\n \"acc_norm_stderr\": 0.039105257528497236\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|5\": {\n \"acc\": 0.55,\n\ \ \"acc_stderr\": 0.05,\n \"acc_norm\": 0.55,\n \"acc_norm_stderr\"\ : 0.05\n },\n \"harness\|hendrycksTest-clinical_knowledge\|5\": {\n \"\ acc\": 0.6415094339622641,\n \"acc_stderr\": 0.02951470358398177,\n \ \ \"acc_norm\": 0.6415094339622641,\n \"acc_norm_stderr\": 0.02951470358398177\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.6875,\n\ \ \"acc_stderr\": 0.038760854559127644,\n \"acc_norm\": 0.6875,\n\ \ \"acc_norm_stderr\": 0.038760854559127644\n },\n \"harness\|hendrycksTest-college_chemistry\|5\"\ : {\n \"acc\": 0.42,\n \"acc_stderr\": 0.049604496374885836,\n \ \ \"acc_norm\": 0.42,\n \"acc_norm_stderr\": 0.049604496374885836\n \ \ },\n \"harness\|hendrycksTest-college_computer_science\|5\": {\n \"\ acc\": 0.53,\n \"acc_stderr\": 0.050161355804659205,\n \"acc_norm\"\ : 0.53,\n \"acc_norm_stderr\": 0.050161355804659205\n },\n \"harness\|hendrycksTest-college_mathematics\|5\"\ : {\n \"acc\": 0.31,\n \"acc_stderr\": 0.04648231987117316,\n \ \ \"acc_norm\": 0.31,\n \"acc_norm_stderr\": 0.04648231987117316\n \ \ },\n \"harness\|hendrycksTest-college_medicine\|5\": {\n \"acc\": 0.5780346820809249,\n\ \ \"acc_stderr\": 0.0376574669386515,\n \"acc_norm\": 0.5780346820809249,\n\ \ \"acc_norm_stderr\": 0.0376574669386515\n },\n \"harness\|hendrycksTest-college_physics\|5\"\ : {\n \"acc\": 0.3431372549019608,\n \"acc_stderr\": 0.047240073523838876,\n\ \ \"acc_norm\": 0.3431372549019608,\n \"acc_norm_stderr\": 0.047240073523838876\n\ \ },\n \"harness\|hendrycksTest-computer_security\|5\": {\n \"acc\":\ \ 0.78,\n \"acc_stderr\": 0.04163331998932262,\n \"acc_norm\": 0.78,\n\ \ \"acc_norm_stderr\": 0.04163331998932262\n },\n \"harness\|hendrycksTest-conceptual_physics\|5\"\ : {\n \"acc\": 0.5276595744680851,\n \"acc_stderr\": 0.03263597118409769,\n\ \ \"acc_norm\": 0.5276595744680851,\n \"acc_norm_stderr\": 0.03263597118409769\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.39473684210526316,\n\ \ \"acc_stderr\": 0.045981880578165414,\n \"acc_norm\": 0.39473684210526316,\n\ \ \"acc_norm_stderr\": 0.045981880578165414\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.496551724137931,\n \"acc_stderr\": 0.041665675771015785,\n\ \ \"acc_norm\": 0.496551724137931,\n \"acc_norm_stderr\": 0.041665675771015785\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.3888888888888889,\n \"acc_stderr\": 0.02510742548113728,\n \"\ acc_norm\": 0.3888888888888889,\n \"acc_norm_stderr\": 0.02510742548113728\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.3412698412698413,\n\ \ \"acc_stderr\": 0.04240799327574925,\n \"acc_norm\": 0.3412698412698413,\n\ \ \"acc_norm_stderr\": 0.04240799327574925\n },\n \"harness\|hendrycksTest-global_facts\|5\"\ : {\n \"acc\": 0.32,\n \"acc_stderr\": 0.046882617226215034,\n \ \ \"acc_norm\": 0.32,\n \"acc_norm_stderr\": 0.046882617226215034\n \ \ },\n \"harness\|hendrycksTest-high_school_biology\|5\": {\n \"acc\"\ : 0.6870967741935484,\n \"acc_stderr\": 0.02637756702864586,\n \"\ acc_norm\": 0.6870967741935484,\n \"acc_norm_stderr\": 0.02637756702864586\n\ \ },\n \"harness\|hendrycksTest-high_school_chemistry\|5\": {\n \"acc\"\ : 0.4630541871921182,\n \"acc_stderr\": 0.035083705204426656,\n \"\ acc_norm\": 0.4630541871921182,\n \"acc_norm_stderr\": 0.035083705204426656\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|5\": {\n \ \ \"acc\": 0.7,\n \"acc_stderr\": 0.046056618647183814,\n \"acc_norm\"\ : 0.7,\n \"acc_norm_stderr\": 0.046056618647183814\n },\n \"harness\|hendrycksTest-high_school_european_history\|5\"\ : {\n \"acc\": 0.7454545454545455,\n \"acc_stderr\": 0.03401506715249039,\n\ \ \"acc_norm\": 0.7454545454545455,\n \"acc_norm_stderr\": 0.03401506715249039\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.7525252525252525,\n \"acc_stderr\": 0.03074630074212451,\n \"\ acc_norm\": 0.7525252525252525,\n \"acc_norm_stderr\": 0.03074630074212451\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.8238341968911918,\n \"acc_stderr\": 0.027493504244548057,\n\ \ \"acc_norm\": 0.8238341968911918,\n \"acc_norm_stderr\": 0.027493504244548057\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.6025641025641025,\n \"acc_stderr\": 0.024811920017903836,\n\ \ \"acc_norm\": 0.6025641025641025,\n \"acc_norm_stderr\": 0.024811920017903836\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.34814814814814815,\n \"acc_stderr\": 0.029045600290616255,\n \ \ \"acc_norm\": 0.34814814814814815,\n \"acc_norm_stderr\": 0.029045600290616255\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.6218487394957983,\n \"acc_stderr\": 0.031499305777849054,\n\ \ \"acc_norm\": 0.6218487394957983,\n \"acc_norm_stderr\": 0.031499305777849054\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.33774834437086093,\n \"acc_stderr\": 0.038615575462551684,\n \"\ acc_norm\": 0.33774834437086093,\n \"acc_norm_stderr\": 0.038615575462551684\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.7834862385321101,\n \"acc_stderr\": 0.017658710594443135,\n \"\ acc_norm\": 0.7834862385321101,\n \"acc_norm_stderr\": 0.017658710594443135\n\ \ },\n \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\"\ : 0.39351851851851855,\n \"acc_stderr\": 0.03331747876370312,\n \"\ acc_norm\": 0.39351851851851855,\n \"acc_norm_stderr\": 0.03331747876370312\n\ \ },\n \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\"\ : 0.803921568627451,\n \"acc_stderr\": 0.027865942286639318,\n \"\ acc_norm\": 0.803921568627451,\n \"acc_norm_stderr\": 0.027865942286639318\n\ \ },\n \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"\ acc\": 0.7510548523206751,\n \"acc_stderr\": 0.028146970599422644,\n \ \ \"acc_norm\": 0.7510548523206751,\n \"acc_norm_stderr\": 0.028146970599422644\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.6547085201793722,\n\ \ \"acc_stderr\": 0.03191100192835794,\n \"acc_norm\": 0.6547085201793722,\n\ \ \"acc_norm_stderr\": 0.03191100192835794\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.7480916030534351,\n \"acc_stderr\": 0.03807387116306085,\n\ \ \"acc_norm\": 0.7480916030534351,\n \"acc_norm_stderr\": 0.03807387116306085\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.7107438016528925,\n \"acc_stderr\": 0.04139112727635463,\n \"\ acc_norm\": 0.7107438016528925,\n \"acc_norm_stderr\": 0.04139112727635463\n\ \ },\n \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.7129629629629629,\n\ \ \"acc_stderr\": 0.043733130409147614,\n \"acc_norm\": 0.7129629629629629,\n\ \ \"acc_norm_stderr\": 0.043733130409147614\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.7361963190184049,\n \"acc_stderr\": 0.03462419931615623,\n\ \ \"acc_norm\": 0.7361963190184049,\n \"acc_norm_stderr\": 0.03462419931615623\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.38392857142857145,\n\ \ \"acc_stderr\": 0.04616143075028547,\n \"acc_norm\": 0.38392857142857145,\n\ \ \"acc_norm_stderr\": 0.04616143075028547\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.7281553398058253,\n \"acc_stderr\": 0.044052680241409216,\n\ \ \"acc_norm\": 0.7281553398058253,\n \"acc_norm_stderr\": 0.044052680241409216\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.8461538461538461,\n\ \ \"acc_stderr\": 0.023636873317489294,\n \"acc_norm\": 0.8461538461538461,\n\ \ \"acc_norm_stderr\": 0.023636873317489294\n },\n \"harness\|hendrycksTest-medical_genetics\|5\"\ : {\n \"acc\": 0.7,\n \"acc_stderr\": 0.046056618647183814,\n \ \ \"acc_norm\": 0.7,\n \"acc_norm_stderr\": 0.046056618647183814\n \ \ },\n \"harness\|hendrycksTest-miscellaneous\|5\": {\n \"acc\": 0.8045977011494253,\n\ \ \"acc_stderr\": 0.014179171373424383,\n \"acc_norm\": 0.8045977011494253,\n\ \ \"acc_norm_stderr\": 0.014179171373424383\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.6734104046242775,\n \"acc_stderr\": 0.025248264774242832,\n\ \ \"acc_norm\": 0.6734104046242775,\n \"acc_norm_stderr\": 0.025248264774242832\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.30614525139664805,\n\ \ \"acc_stderr\": 0.01541449448790323,\n \"acc_norm\": 0.30614525139664805,\n\ \ \"acc_norm_stderr\": 0.01541449448790323\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.6862745098039216,\n \"acc_stderr\": 0.026568921015457152,\n\ \ \"acc_norm\": 0.6862745098039216,\n \"acc_norm_stderr\": 0.026568921015457152\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.6591639871382636,\n\ \ \"acc_stderr\": 0.026920841260776162,\n \"acc_norm\": 0.6591639871382636,\n\ \ \"acc_norm_stderr\": 0.026920841260776162\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.7037037037037037,\n \"acc_stderr\": 0.025407197798890162,\n\ \ \"acc_norm\": 0.7037037037037037,\n \"acc_norm_stderr\": 0.025407197798890162\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.44680851063829785,\n \"acc_stderr\": 0.029658235097666907,\n \ \ \"acc_norm\": 0.44680851063829785,\n \"acc_norm_stderr\": 0.029658235097666907\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.42959582790091266,\n\ \ \"acc_stderr\": 0.01264300462379021,\n \"acc_norm\": 0.42959582790091266,\n\ \ \"acc_norm_stderr\": 0.01264300462379021\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.6286764705882353,\n \"acc_stderr\": 0.02934980313976587,\n\ \ \"acc_norm\": 0.6286764705882353,\n \"acc_norm_stderr\": 0.02934980313976587\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.6274509803921569,\n \"acc_stderr\": 0.019559646809215923,\n \ \ \"acc_norm\": 0.6274509803921569,\n \"acc_norm_stderr\": 0.019559646809215923\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.6363636363636364,\n\ \ \"acc_stderr\": 0.04607582090719976,\n \"acc_norm\": 0.6363636363636364,\n\ \ \"acc_norm_stderr\": 0.04607582090719976\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.7020408163265306,\n \"acc_stderr\": 0.029279567411065674,\n\ \ \"acc_norm\": 0.7020408163265306,\n \"acc_norm_stderr\": 0.029279567411065674\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.8308457711442786,\n\ \ \"acc_stderr\": 0.026508590656233264,\n \"acc_norm\": 0.8308457711442786,\n\ \ \"acc_norm_stderr\": 0.026508590656233264\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.87,\n \"acc_stderr\": 0.033799766898963086,\n \ \ \"acc_norm\": 0.87,\n \"acc_norm_stderr\": 0.033799766898963086\n \ \ },\n \"harness\|hendrycksTest-virology\|5\": {\n \"acc\": 0.5301204819277109,\n\ \ \"acc_stderr\": 0.03885425420866767,\n \"acc_norm\": 0.5301204819277109,\n\ \ \"acc_norm_stderr\": 0.03885425420866767\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.8070175438596491,\n \"acc_stderr\": 0.030267457554898458,\n\ \ \"acc_norm\": 0.8070175438596491,\n \"acc_norm_stderr\": 0.030267457554898458\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.34149326805385555,\n\ \ \"mc1_stderr\": 0.016600688619950826,\n \"mc2\": 0.49078721070216347,\n\ \ \"mc2_stderr\": 0.015495976475887885\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.7576953433307024,\n \"acc_stderr\": 0.012042352526174782\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.3237300985595148,\n \ \ \"acc_stderr\": 0.01288824739737114\n }\n}\n```" repo_url: https://huggingface.co/Sao10K/Venomia-m7 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_12_09T19_38_57.975905 path: - '/details_harness\|arc:challenge\|25_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-12-09T19-38-57.975905.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '/details_harness\|gsm8k\|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_12_09T19_38_57.975905 path: - '/details_harness\|hellaswag\|10_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-12-09T19-38-57.975905.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '/details_harness\|hendrycksTest-management\|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '/details_harness\|hendrycksTest-virology\|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_12_09T19_38_57.975905 path: - '/details_harness\|truthfulqa:mc\|0_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-12-09T19-38-57.975905.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '/details_harness\|winogrande\|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-12-09T19-38-57.975905.parquet' - config_name: results data_files: - split: 2023_12_09T19_38_57.975905 path: - results_2023-12-09T19-38-57.975905.parquet - split: latest path: - results_2023-12-09T19-38-57.975905.parquet --- # Dataset Card for Evaluation run of Sao10K/Venomia-m7 ## Dataset Description - Homepage: - Repository: https://huggingface.co/Sao10K/Venomia-m7 - 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 [Sao10K/Venomia-m7](https://huggingface.co/Sao10K/Venomia-m7) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 63 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 (and is used to compute and display the aggregated 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_Sao10K__Venomia-m7", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-12-09T19:38:57.975905](https://huggingface.co/datasets/open-llm-leaderboard/details_Sao10K__Venomia-m7/blob/main/results_2023-12-09T19-38-57.975905.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": 0.5994561896653553, "acc_stderr": 0.032914574924459074, "acc_norm": 0.6051903322222639, "acc_norm_stderr": 0.03358493802168653, "mc1": 0.34149326805385555, "mc1_stderr": 0.016600688619950826, "mc2": 0.49078721070216347, "mc2_stderr": 0.015495976475887885 }, "harness\|arc:challenge\|25": { "acc": 0.5870307167235495, "acc_stderr": 0.014388344935398326, "acc_norm": 0.6313993174061433, "acc_norm_stderr": 0.014097810678042194 }, "harness\|hellaswag\|10": { "acc": 0.6635132443736308, "acc_stderr": 0.004715419139697519, "acc_norm": 0.8399721171081458, "acc_norm_stderr": 0.0036588262081016106 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness\|hendrycksTest-anatomy\|5": { "acc": 0.6, "acc_stderr": 0.042320736951515885, "acc_norm": 0.6, "acc_norm_stderr": 0.042320736951515885 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.6381578947368421, "acc_stderr": 0.039105257528497236, "acc_norm": 0.6381578947368421, "acc_norm_stderr": 0.039105257528497236 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.55, "acc_stderr": 0.05, "acc_norm": 0.55, "acc_norm_stderr": 0.05 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.6415094339622641, "acc_stderr": 0.02951470358398177, "acc_norm": 0.6415094339622641, "acc_norm_stderr": 0.02951470358398177 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.6875, "acc_stderr": 0.038760854559127644, "acc_norm": 0.6875, "acc_norm_stderr": 0.038760854559127644 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.42, "acc_stderr": 0.049604496374885836, "acc_norm": 0.42, "acc_norm_stderr": 0.049604496374885836 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.53, "acc_stderr": 0.050161355804659205, "acc_norm": 0.53, "acc_norm_stderr": 0.050161355804659205 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.5780346820809249, "acc_stderr": 0.0376574669386515, "acc_norm": 0.5780346820809249, "acc_norm_stderr": 0.0376574669386515 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.3431372549019608, "acc_stderr": 0.047240073523838876, "acc_norm": 0.3431372549019608, "acc_norm_stderr": 0.047240073523838876 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.78, "acc_stderr": 0.04163331998932262, "acc_norm": 0.78, "acc_norm_stderr": 0.04163331998932262 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.5276595744680851, "acc_stderr": 0.03263597118409769, "acc_norm": 0.5276595744680851, "acc_norm_stderr": 0.03263597118409769 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.39473684210526316, "acc_stderr": 0.045981880578165414, "acc_norm": 0.39473684210526316, "acc_norm_stderr": 0.045981880578165414 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.496551724137931, "acc_stderr": 0.041665675771015785, "acc_norm": 0.496551724137931, "acc_norm_stderr": 0.041665675771015785 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.3888888888888889, "acc_stderr": 0.02510742548113728, "acc_norm": 0.3888888888888889, "acc_norm_stderr": 0.02510742548113728 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.3412698412698413, "acc_stderr": 0.04240799327574925, "acc_norm": 0.3412698412698413, "acc_norm_stderr": 0.04240799327574925 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.32, "acc_stderr": 0.046882617226215034, "acc_norm": 0.32, "acc_norm_stderr": 0.046882617226215034 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.6870967741935484, "acc_stderr": 0.02637756702864586, "acc_norm": 0.6870967741935484, "acc_norm_stderr": 0.02637756702864586 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.4630541871921182, "acc_stderr": 0.035083705204426656, "acc_norm": 0.4630541871921182, "acc_norm_stderr": 0.035083705204426656 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.7, "acc_stderr": 0.046056618647183814, "acc_norm": 0.7, "acc_norm_stderr": 0.046056618647183814 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.7454545454545455, "acc_stderr": 0.03401506715249039, "acc_norm": 0.7454545454545455, "acc_norm_stderr": 0.03401506715249039 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.7525252525252525, "acc_stderr": 0.03074630074212451, "acc_norm": 0.7525252525252525, "acc_norm_stderr": 0.03074630074212451 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.8238341968911918, "acc_stderr": 0.027493504244548057, "acc_norm": 0.8238341968911918, "acc_norm_stderr": 0.027493504244548057 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.6025641025641025, "acc_stderr": 0.024811920017903836, "acc_norm": 0.6025641025641025, "acc_norm_stderr": 0.024811920017903836 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.34814814814814815, "acc_stderr": 0.029045600290616255, "acc_norm": 0.34814814814814815, "acc_norm_stderr": 0.029045600290616255 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.6218487394957983, "acc_stderr": 0.031499305777849054, "acc_norm": 0.6218487394957983, "acc_norm_stderr": 0.031499305777849054 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.33774834437086093, "acc_stderr": 0.038615575462551684, "acc_norm": 0.33774834437086093, "acc_norm_stderr": 0.038615575462551684 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.7834862385321101, "acc_stderr": 0.017658710594443135, "acc_norm": 0.7834862385321101, "acc_norm_stderr": 0.017658710594443135 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.39351851851851855, "acc_stderr": 0.03331747876370312, "acc_norm": 0.39351851851851855, "acc_norm_stderr": 0.03331747876370312 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.803921568627451, "acc_stderr": 0.027865942286639318, "acc_norm": 0.803921568627451, "acc_norm_stderr": 0.027865942286639318 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.7510548523206751, "acc_stderr": 0.028146970599422644, "acc_norm": 0.7510548523206751, "acc_norm_stderr": 0.028146970599422644 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.6547085201793722, "acc_stderr": 0.03191100192835794, "acc_norm": 0.6547085201793722, "acc_norm_stderr": 0.03191100192835794 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.7480916030534351, "acc_stderr": 0.03807387116306085, "acc_norm": 0.7480916030534351, "acc_norm_stderr": 0.03807387116306085 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.7107438016528925, "acc_stderr": 0.04139112727635463, "acc_norm": 0.7107438016528925, "acc_norm_stderr": 0.04139112727635463 }, "harness\|hendrycksTest-jurisprudence\|5": { "acc": 0.7129629629629629, "acc_stderr": 0.043733130409147614, "acc_norm": 0.7129629629629629, "acc_norm_stderr": 0.043733130409147614 }, "harness\|hendrycksTest-logical_fallacies\|5": { "acc": 0.7361963190184049, "acc_stderr": 0.03462419931615623, "acc_norm": 0.7361963190184049, "acc_norm_stderr": 0.03462419931615623 }, "harness\|hendrycksTest-machine_learning\|5": { "acc": 0.38392857142857145, "acc_stderr": 0.04616143075028547, "acc_norm": 0.38392857142857145, "acc_norm_stderr": 0.04616143075028547 }, "harness\|hendrycksTest-management\|5": { "acc": 0.7281553398058253, "acc_stderr": 0.044052680241409216, "acc_norm": 0.7281553398058253, "acc_norm_stderr": 0.044052680241409216 }, "harness\|hendrycksTest-marketing\|5": { "acc": 0.8461538461538461, "acc_stderr": 0.023636873317489294, "acc_norm": 0.8461538461538461, "acc_norm_stderr": 0.023636873317489294 }, "harness\|hendrycksTest-medical_genetics\|5": { "acc": 0.7, "acc_stderr": 0.046056618647183814, "acc_norm": 0.7, "acc_norm_stderr": 0.046056618647183814 }, "harness\|hendrycksTest-miscellaneous\|5": { "acc": 0.8045977011494253, "acc_stderr": 0.014179171373424383, "acc_norm": 0.8045977011494253, "acc_norm_stderr": 0.014179171373424383 }, "harness\|hendrycksTest-moral_disputes\|5": { "acc": 0.6734104046242775, "acc_stderr": 0.025248264774242832, "acc_norm": 0.6734104046242775, "acc_norm_stderr": 0.025248264774242832 }, "harness\|hendrycksTest-moral_scenarios\|5": { "acc": 0.30614525139664805, "acc_stderr": 0.01541449448790323, "acc_norm": 0.30614525139664805, "acc_norm_stderr": 0.01541449448790323 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.6862745098039216, "acc_stderr": 0.026568921015457152, "acc_norm": 0.6862745098039216, "acc_norm_stderr": 0.026568921015457152 }, "harness\|hendrycksTest-philosophy\|5": { "acc": 0.6591639871382636, "acc_stderr": 0.026920841260776162, "acc_norm": 0.6591639871382636, "acc_norm_stderr": 0.026920841260776162 }, "harness\|hendrycksTest-prehistory\|5": { "acc": 0.7037037037037037, "acc_stderr": 0.025407197798890162, "acc_norm": 0.7037037037037037, "acc_norm_stderr": 0.025407197798890162 }, "harness\|hendrycksTest-professional_accounting\|5": { "acc": 0.44680851063829785, "acc_stderr": 0.029658235097666907, "acc_norm": 0.44680851063829785, "acc_norm_stderr": 0.029658235097666907 }, "harness\|hendrycksTest-professional_law\|5": { "acc": 0.42959582790091266, "acc_stderr": 0.01264300462379021, "acc_norm": 0.42959582790091266, "acc_norm_stderr": 0.01264300462379021 }, "harness\|hendrycksTest-professional_medicine\|5": { "acc": 0.6286764705882353, "acc_stderr": 0.02934980313976587, "acc_norm": 0.6286764705882353, "acc_norm_stderr": 0.02934980313976587 }, "harness\|hendrycksTest-professional_psychology\|5": { "acc": 0.6274509803921569, "acc_stderr": 0.019559646809215923, "acc_norm": 0.6274509803921569, "acc_norm_stderr": 0.019559646809215923 }, "harness\|hendrycksTest-public_relations\|5": { "acc": 0.6363636363636364, "acc_stderr": 0.04607582090719976, "acc_norm": 0.6363636363636364, "acc_norm_stderr": 0.04607582090719976 }, "harness\|hendrycksTest-security_studies\|5": { "acc": 0.7020408163265306, "acc_stderr": 0.029279567411065674, "acc_norm": 0.7020408163265306, "acc_norm_stderr": 0.029279567411065674 }, "harness\|hendrycksTest-sociology\|5": { "acc": 0.8308457711442786, "acc_stderr": 0.026508590656233264, "acc_norm": 0.8308457711442786, "acc_norm_stderr": 0.026508590656233264 }, "harness\|hendrycksTest-us_foreign_policy\|5": { "acc": 0.87, "acc_stderr": 0.033799766898963086, "acc_norm": 0.87, "acc_norm_stderr": 0.033799766898963086 }, "harness\|hendrycksTest-virology\|5": { "acc": 0.5301204819277109, "acc_stderr": 0.03885425420866767, "acc_norm": 0.5301204819277109, "acc_norm_stderr": 0.03885425420866767 }, "harness\|hendrycksTest-world_religions\|5": { "acc": 0.8070175438596491, "acc_stderr": 0.030267457554898458, "acc_norm": 0.8070175438596491, "acc_norm_stderr": 0.030267457554898458 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.34149326805385555, "mc1_stderr": 0.016600688619950826, "mc2": 0.49078721070216347, "mc2_stderr": 0.015495976475887885 }, "harness\|winogrande\|5": { "acc": 0.7576953433307024, "acc_stderr": 0.012042352526174782 }, "harness\|gsm8k\|5": { "acc": 0.3237300985595148, "acc_stderr": 0.01288824739737114 } } ``` ### 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]
haseong8012/child-50k-adult-30k_for-train	--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: text dtype: string - name: audio sequence: float32 splits: - name: train num_bytes: 15410653561 num_examples: 80000 download_size: 13245154984 dataset_size: 15410653561 --- # Dataset Card for "child-50k-adult-30k_for-train" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Yura32000/eurosat	--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': AnnualCrop '1': Forest '2': HerbaceousVegetation '3': Highway '4': Industrial '5': Pasture '6': PermanentCrop '7': Residential '8': River '9': SeaLake - name: choices dtype: int64 - name: prices dtype: int64 splits: - name: train num_bytes: 73997723.2 num_examples: 21600 - name: test num_bytes: 9241099.7 num_examples: 2700 - name: valid num_bytes: 9232043.9 num_examples: 2700 download_size: 91992228 dataset_size: 92470866.80000001 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* - split: valid path: data/valid-* --- # Dataset Card for Dataset Name <!-- Provide a quick summary of the dataset. --> This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1). ## 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]
juancheng/MBE_height	--- configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* dataset_info: features: - name: pixel_values dtype: image - name: label dtype: image splits: - name: train num_bytes: 8983230.0 num_examples: 49 - name: validation num_bytes: 2439966.0 num_examples: 13 download_size: 0 dataset_size: 11423196.0 --- # Dataset Card for "MBE_height" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Phando/nlvr2-resized	--- dataset_info: features: - name: identifier dtype: string - name: sentence dtype: string - name: label dtype: string - name: image0 dtype: image - name: image1 dtype: image splits: - name: train num_bytes: 40320845946.75 num_examples: 86373 - name: validation num_bytes: 3285815561.536 num_examples: 6982 download_size: 42185258650 dataset_size: 43606661508.286 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* ---
liuyanchen1015/MULTI_VALUE_cola_subord_conjunction_doubling	--- dataset_info: features: - name: sentence dtype: string - name: label dtype: int64 - name: idx dtype: int64 - name: value_score dtype: int64 splits: - name: dev num_bytes: 98 num_examples: 1 - name: test num_bytes: 185 num_examples: 2 - name: train num_bytes: 3322 num_examples: 34 download_size: 7915 dataset_size: 3605 --- # Dataset Card for "MULTI_VALUE_cola_subord_conjunction_doubling" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
faisal-hugging-face/plat-disease	--- license: other ---
Pratha1m/dataset_with_ocr	--- dataset_info: features: - name: id dtype: string - name: image sequence: sequence: sequence: uint8 - name: answer dtype: string - name: question dtype: string - name: words sequence: string - name: boxes sequence: sequence: int64 splits: - name: train num_bytes: 147847251 num_examples: 904 - name: test num_bytes: 30521871 num_examples: 190 download_size: 37387817 dataset_size: 178369122 --- # Dataset Card for "dataset_with_ocr" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
reza-alipour/CaHumnE	--- dataset_info: features: - name: id dtype: string - name: caption dtype: string - name: col1 dtype: image - name: col2 dtype: image - name: col3 dtype: image - name: col4 dtype: image splits: - name: train num_bytes: 270773121.0 num_examples: 200 download_size: 270781217 dataset_size: 270773121.0 configs: - config_name: default data_files: - split: train path: data/train-* ---
Veucci/turkish-lyric-to-genre	--- license: cc-by-nc-4.0 size_categories: - 1K<n<10K task_categories: - text-classification language: - tr tags: - music --- # Song Lyrics Dataset ## Description This dataset contains a collection of song lyrics from various artists and genres in Turkish. It is intended to be used for research, analysis, and other non-commercial purposes. ## Dataset Details The dataset is organized in a tabular format with the following columns: - `Genre` (int): Genre of the lyrics - `Lyrics` (str): The lyrics of the song. - Pop: 1085 rows - Rock: 765 rows - Hip-Hop: 969 rows - Arabesk: 353 rows ## Usage Feel free to use this dataset for non-commercial purposes such as academic research, natural language processing tasks, sentiment analysis, or personal projects. You are allowed to analyze, modify, and derive insights from the dataset. If you use this dataset in your work, we kindly request that you provide attribution by citing this repository or linking back to it. ## License This dataset is released under the Creative Commons Attribution-NonCommercial license. This means that you are not allowed to use the dataset for commercial purposes. For detailed information about the license, please refer to the [LICENSE](./LICENSE) file. ## Contact If you have any questions, suggestions, or concerns regarding this dataset, please feel free to reach out to email at [efe.ozkan732@gmail.com](mailto:efe.ozkan732@gmail.com). Happy exploring and analyzing the world of song lyrics!
liuyanchen1015/MULTI_VALUE_cola_acomp_focusing_like	--- dataset_info: features: - name: sentence dtype: string - name: label dtype: int64 - name: idx dtype: int64 - name: value_score dtype: int64 splits: - name: dev num_bytes: 10825 num_examples: 125 - name: test num_bytes: 11817 num_examples: 135 - name: train num_bytes: 89393 num_examples: 1108 download_size: 54146 dataset_size: 112035 --- # Dataset Card for "MULTI_VALUE_cola_acomp_focusing_like" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
open-llm-leaderboard/details_DreadPoor__Kindred-7B-slerp	--- pretty_name: Evaluation run of DreadPoor/Kindred-7B-slerp dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [DreadPoor/Kindred-7B-slerp](https://huggingface.co/DreadPoor/Kindred-7B-slerp)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 63 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 (and is used to compute and display the aggregated 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_DreadPoor__Kindred-7B-slerp\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-03-06T04:34:27.779341](https://huggingface.co/datasets/open-llm-leaderboard/details_DreadPoor__Kindred-7B-slerp/blob/main/results_2024-03-06T04-34-27.779341.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\": 0.652918276624435,\n\ \ \"acc_stderr\": 0.03217962561512012,\n \"acc_norm\": 0.6527130051694514,\n\ \ \"acc_norm_stderr\": 0.0328482909372264,\n \"mc1\": 0.5250917992656059,\n\ \ \"mc1_stderr\": 0.017481446804104014,\n \"mc2\": 0.6812302607383641,\n\ \ \"mc2_stderr\": 0.014858561443304524\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.6800341296928327,\n \"acc_stderr\": 0.01363134580701619,\n\ \ \"acc_norm\": 0.7175767918088737,\n \"acc_norm_stderr\": 0.013155456884097225\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.7001593308105954,\n\ \ \"acc_stderr\": 0.004572515919210697,\n \"acc_norm\": 0.8778131846245768,\n\ \ \"acc_norm_stderr\": 0.0032683212609136295\n },\n \"harness\|hendrycksTest-abstract_algebra\|5\"\ : {\n \"acc\": 0.35,\n \"acc_stderr\": 0.0479372485441102,\n \ \ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.0479372485441102\n },\n\ \ \"harness\|hendrycksTest-anatomy\|5\": {\n \"acc\": 0.6518518518518519,\n\ \ \"acc_stderr\": 0.041153246103369526,\n \"acc_norm\": 0.6518518518518519,\n\ \ \"acc_norm_stderr\": 0.041153246103369526\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.6907894736842105,\n \"acc_stderr\": 0.037610708698674805,\n\ \ \"acc_norm\": 0.6907894736842105,\n \"acc_norm_stderr\": 0.037610708698674805\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|5\": {\n \"acc\": 0.64,\n\ \ \"acc_stderr\": 0.04824181513244218,\n \"acc_norm\": 0.64,\n \ \ \"acc_norm_stderr\": 0.04824181513244218\n },\n \"harness\|hendrycksTest-clinical_knowledge\|5\"\ : {\n \"acc\": 0.7169811320754716,\n \"acc_stderr\": 0.027724236492700918,\n\ \ \"acc_norm\": 0.7169811320754716,\n \"acc_norm_stderr\": 0.027724236492700918\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.7847222222222222,\n\ \ \"acc_stderr\": 0.03437079344106135,\n \"acc_norm\": 0.7847222222222222,\n\ \ \"acc_norm_stderr\": 0.03437079344106135\n },\n \"harness\|hendrycksTest-college_chemistry\|5\"\ : {\n \"acc\": 0.48,\n \"acc_stderr\": 0.050211673156867795,\n \ \ \"acc_norm\": 0.48,\n \"acc_norm_stderr\": 0.050211673156867795\n \ \ },\n \"harness\|hendrycksTest-college_computer_science\|5\": {\n \"\ acc\": 0.51,\n \"acc_stderr\": 0.05024183937956912,\n \"acc_norm\"\ : 0.51,\n \"acc_norm_stderr\": 0.05024183937956912\n },\n \"harness\|hendrycksTest-college_mathematics\|5\"\ : {\n \"acc\": 0.32,\n \"acc_stderr\": 0.04688261722621504,\n \ \ \"acc_norm\": 0.32,\n \"acc_norm_stderr\": 0.04688261722621504\n \ \ },\n \"harness\|hendrycksTest-college_medicine\|5\": {\n \"acc\": 0.6820809248554913,\n\ \ \"acc_stderr\": 0.0355068398916558,\n \"acc_norm\": 0.6820809248554913,\n\ \ \"acc_norm_stderr\": 0.0355068398916558\n },\n \"harness\|hendrycksTest-college_physics\|5\"\ : {\n \"acc\": 0.45098039215686275,\n \"acc_stderr\": 0.04951218252396262,\n\ \ \"acc_norm\": 0.45098039215686275,\n \"acc_norm_stderr\": 0.04951218252396262\n\ \ },\n \"harness\|hendrycksTest-computer_security\|5\": {\n \"acc\":\ \ 0.78,\n \"acc_stderr\": 0.04163331998932263,\n \"acc_norm\": 0.78,\n\ \ \"acc_norm_stderr\": 0.04163331998932263\n },\n \"harness\|hendrycksTest-conceptual_physics\|5\"\ : {\n \"acc\": 0.5872340425531914,\n \"acc_stderr\": 0.03218471141400351,\n\ \ \"acc_norm\": 0.5872340425531914,\n \"acc_norm_stderr\": 0.03218471141400351\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.5087719298245614,\n\ \ \"acc_stderr\": 0.047028804320496165,\n \"acc_norm\": 0.5087719298245614,\n\ \ \"acc_norm_stderr\": 0.047028804320496165\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.593103448275862,\n \"acc_stderr\": 0.04093793981266236,\n\ \ \"acc_norm\": 0.593103448275862,\n \"acc_norm_stderr\": 0.04093793981266236\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.42063492063492064,\n \"acc_stderr\": 0.025424835086924003,\n \"\ acc_norm\": 0.42063492063492064,\n \"acc_norm_stderr\": 0.025424835086924003\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.47619047619047616,\n\ \ \"acc_stderr\": 0.04467062628403273,\n \"acc_norm\": 0.47619047619047616,\n\ \ \"acc_norm_stderr\": 0.04467062628403273\n },\n \"harness\|hendrycksTest-global_facts\|5\"\ : {\n \"acc\": 0.33,\n \"acc_stderr\": 0.04725815626252604,\n \ \ \"acc_norm\": 0.33,\n \"acc_norm_stderr\": 0.04725815626252604\n \ \ },\n \"harness\|hendrycksTest-high_school_biology\|5\": {\n \"acc\": 0.7806451612903226,\n\ \ \"acc_stderr\": 0.023540799358723295,\n \"acc_norm\": 0.7806451612903226,\n\ \ \"acc_norm_stderr\": 0.023540799358723295\n },\n \"harness\|hendrycksTest-high_school_chemistry\|5\"\ : {\n \"acc\": 0.4975369458128079,\n \"acc_stderr\": 0.03517945038691063,\n\ \ \"acc_norm\": 0.4975369458128079,\n \"acc_norm_stderr\": 0.03517945038691063\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|5\": {\n \ \ \"acc\": 0.67,\n \"acc_stderr\": 0.04725815626252607,\n \"acc_norm\"\ : 0.67,\n \"acc_norm_stderr\": 0.04725815626252607\n },\n \"harness\|hendrycksTest-high_school_european_history\|5\"\ : {\n \"acc\": 0.7696969696969697,\n \"acc_stderr\": 0.0328766675860349,\n\ \ \"acc_norm\": 0.7696969696969697,\n \"acc_norm_stderr\": 0.0328766675860349\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.797979797979798,\n \"acc_stderr\": 0.02860620428922987,\n \"acc_norm\"\ : 0.797979797979798,\n \"acc_norm_stderr\": 0.02860620428922987\n },\n\ \ \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n \ \ \"acc\": 0.9015544041450777,\n \"acc_stderr\": 0.021500249576033456,\n\ \ \"acc_norm\": 0.9015544041450777,\n \"acc_norm_stderr\": 0.021500249576033456\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.676923076923077,\n \"acc_stderr\": 0.02371088850197057,\n \ \ \"acc_norm\": 0.676923076923077,\n \"acc_norm_stderr\": 0.02371088850197057\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.35185185185185186,\n \"acc_stderr\": 0.029116617606083,\n \ \ \"acc_norm\": 0.35185185185185186,\n \"acc_norm_stderr\": 0.029116617606083\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.6932773109243697,\n \"acc_stderr\": 0.029953823891887034,\n\ \ \"acc_norm\": 0.6932773109243697,\n \"acc_norm_stderr\": 0.029953823891887034\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.3509933774834437,\n \"acc_stderr\": 0.03896981964257375,\n \"\ acc_norm\": 0.3509933774834437,\n \"acc_norm_stderr\": 0.03896981964257375\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.8477064220183487,\n \"acc_stderr\": 0.015405084393157074,\n \"\ acc_norm\": 0.8477064220183487,\n \"acc_norm_stderr\": 0.015405084393157074\n\ \ },\n \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\"\ : 0.5185185185185185,\n \"acc_stderr\": 0.03407632093854051,\n \"\ acc_norm\": 0.5185185185185185,\n \"acc_norm_stderr\": 0.03407632093854051\n\ \ },\n \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\"\ : 0.8382352941176471,\n \"acc_stderr\": 0.02584501798692692,\n \"\ acc_norm\": 0.8382352941176471,\n \"acc_norm_stderr\": 0.02584501798692692\n\ \ },\n \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"\ acc\": 0.8059071729957806,\n \"acc_stderr\": 0.025744902532290916,\n \ \ \"acc_norm\": 0.8059071729957806,\n \"acc_norm_stderr\": 0.025744902532290916\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.6905829596412556,\n\ \ \"acc_stderr\": 0.03102441174057221,\n \"acc_norm\": 0.6905829596412556,\n\ \ \"acc_norm_stderr\": 0.03102441174057221\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.7480916030534351,\n \"acc_stderr\": 0.03807387116306085,\n\ \ \"acc_norm\": 0.7480916030534351,\n \"acc_norm_stderr\": 0.03807387116306085\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.7603305785123967,\n \"acc_stderr\": 0.03896878985070416,\n \"\ acc_norm\": 0.7603305785123967,\n \"acc_norm_stderr\": 0.03896878985070416\n\ \ },\n \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.7685185185185185,\n\ \ \"acc_stderr\": 0.04077494709252626,\n \"acc_norm\": 0.7685185185185185,\n\ \ \"acc_norm_stderr\": 0.04077494709252626\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.7607361963190185,\n \"acc_stderr\": 0.033519538795212696,\n\ \ \"acc_norm\": 0.7607361963190185,\n \"acc_norm_stderr\": 0.033519538795212696\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.42857142857142855,\n\ \ \"acc_stderr\": 0.04697113923010212,\n \"acc_norm\": 0.42857142857142855,\n\ \ \"acc_norm_stderr\": 0.04697113923010212\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.7475728155339806,\n \"acc_stderr\": 0.04301250399690878,\n\ \ \"acc_norm\": 0.7475728155339806,\n \"acc_norm_stderr\": 0.04301250399690878\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.8803418803418803,\n\ \ \"acc_stderr\": 0.021262719400406964,\n \"acc_norm\": 0.8803418803418803,\n\ \ \"acc_norm_stderr\": 0.021262719400406964\n },\n \"harness\|hendrycksTest-medical_genetics\|5\"\ : {\n \"acc\": 0.72,\n \"acc_stderr\": 0.045126085985421276,\n \ \ \"acc_norm\": 0.72,\n \"acc_norm_stderr\": 0.045126085985421276\n \ \ },\n \"harness\|hendrycksTest-miscellaneous\|5\": {\n \"acc\": 0.8263090676883781,\n\ \ \"acc_stderr\": 0.01354741565866226,\n \"acc_norm\": 0.8263090676883781,\n\ \ \"acc_norm_stderr\": 0.01354741565866226\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.7369942196531792,\n \"acc_stderr\": 0.023703099525258172,\n\ \ \"acc_norm\": 0.7369942196531792,\n \"acc_norm_stderr\": 0.023703099525258172\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.40893854748603353,\n\ \ \"acc_stderr\": 0.016442830654715544,\n \"acc_norm\": 0.40893854748603353,\n\ \ \"acc_norm_stderr\": 0.016442830654715544\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.696078431372549,\n \"acc_stderr\": 0.02633661346904663,\n\ \ \"acc_norm\": 0.696078431372549,\n \"acc_norm_stderr\": 0.02633661346904663\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.7202572347266881,\n\ \ \"acc_stderr\": 0.02549425935069491,\n \"acc_norm\": 0.7202572347266881,\n\ \ \"acc_norm_stderr\": 0.02549425935069491\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.7592592592592593,\n \"acc_stderr\": 0.02378858355165854,\n\ \ \"acc_norm\": 0.7592592592592593,\n \"acc_norm_stderr\": 0.02378858355165854\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.49645390070921985,\n \"acc_stderr\": 0.02982674915328092,\n \ \ \"acc_norm\": 0.49645390070921985,\n \"acc_norm_stderr\": 0.02982674915328092\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.46479791395045633,\n\ \ \"acc_stderr\": 0.012738547371303956,\n \"acc_norm\": 0.46479791395045633,\n\ \ \"acc_norm_stderr\": 0.012738547371303956\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.6764705882352942,\n \"acc_stderr\": 0.02841820861940676,\n\ \ \"acc_norm\": 0.6764705882352942,\n \"acc_norm_stderr\": 0.02841820861940676\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.684640522875817,\n \"acc_stderr\": 0.018798086284886887,\n \ \ \"acc_norm\": 0.684640522875817,\n \"acc_norm_stderr\": 0.018798086284886887\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.6909090909090909,\n\ \ \"acc_stderr\": 0.044262946482000985,\n \"acc_norm\": 0.6909090909090909,\n\ \ \"acc_norm_stderr\": 0.044262946482000985\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.7387755102040816,\n \"acc_stderr\": 0.028123429335142783,\n\ \ \"acc_norm\": 0.7387755102040816,\n \"acc_norm_stderr\": 0.028123429335142783\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.8308457711442786,\n\ \ \"acc_stderr\": 0.026508590656233264,\n \"acc_norm\": 0.8308457711442786,\n\ \ \"acc_norm_stderr\": 0.026508590656233264\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.85,\n \"acc_stderr\": 0.0358870281282637,\n \ \ \"acc_norm\": 0.85,\n \"acc_norm_stderr\": 0.0358870281282637\n },\n\ \ \"harness\|hendrycksTest-virology\|5\": {\n \"acc\": 0.5421686746987951,\n\ \ \"acc_stderr\": 0.0387862677100236,\n \"acc_norm\": 0.5421686746987951,\n\ \ \"acc_norm_stderr\": 0.0387862677100236\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.8128654970760234,\n \"acc_stderr\": 0.02991312723236804,\n\ \ \"acc_norm\": 0.8128654970760234,\n \"acc_norm_stderr\": 0.02991312723236804\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.5250917992656059,\n\ \ \"mc1_stderr\": 0.017481446804104014,\n \"mc2\": 0.6812302607383641,\n\ \ \"mc2_stderr\": 0.014858561443304524\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.8310970797158642,\n \"acc_stderr\": 0.010529981411838911\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.7020470053070508,\n \ \ \"acc_stderr\": 0.01259793223291453\n }\n}\n```" repo_url: https://huggingface.co/DreadPoor/Kindred-7B-slerp 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: 2024_03_06T04_34_27.779341 path: - '/details_harness\|arc:challenge\|25_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2024-03-06T04-34-27.779341.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '/details_harness\|gsm8k\|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_03_06T04_34_27.779341 path: - '/details_harness\|hellaswag\|10_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-03-06T04-34-27.779341.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '/details_harness\|hendrycksTest-international_law\|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '/details_harness\|hendrycksTest-management\|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '/details_harness\|hendrycksTest-marketing\|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '/details_harness\|hendrycksTest-sociology\|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '/details_harness\|hendrycksTest-virology\|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_03_06T04_34_27.779341 path: - '/details_harness\|truthfulqa:mc\|0_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2024-03-06T04-34-27.779341.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '/details_harness\|winogrande\|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2024-03-06T04-34-27.779341.parquet' - config_name: results data_files: - split: 2024_03_06T04_34_27.779341 path: - results_2024-03-06T04-34-27.779341.parquet - split: latest path: - results_2024-03-06T04-34-27.779341.parquet --- # Dataset Card for Evaluation run of DreadPoor/Kindred-7B-slerp <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [DreadPoor/Kindred-7B-slerp](https://huggingface.co/DreadPoor/Kindred-7B-slerp) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 63 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 (and is used to compute and display the aggregated 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_DreadPoor__Kindred-7B-slerp", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-03-06T04:34:27.779341](https://huggingface.co/datasets/open-llm-leaderboard/details_DreadPoor__Kindred-7B-slerp/blob/main/results_2024-03-06T04-34-27.779341.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": 0.652918276624435, "acc_stderr": 0.03217962561512012, "acc_norm": 0.6527130051694514, "acc_norm_stderr": 0.0328482909372264, "mc1": 0.5250917992656059, "mc1_stderr": 0.017481446804104014, "mc2": 0.6812302607383641, "mc2_stderr": 0.014858561443304524 }, "harness\|arc:challenge\|25": { "acc": 0.6800341296928327, "acc_stderr": 0.01363134580701619, "acc_norm": 0.7175767918088737, "acc_norm_stderr": 0.013155456884097225 }, "harness\|hellaswag\|10": { "acc": 0.7001593308105954, "acc_stderr": 0.004572515919210697, "acc_norm": 0.8778131846245768, "acc_norm_stderr": 0.0032683212609136295 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.35, "acc_stderr": 0.0479372485441102, "acc_norm": 0.35, "acc_norm_stderr": 0.0479372485441102 }, "harness\|hendrycksTest-anatomy\|5": { "acc": 0.6518518518518519, "acc_stderr": 0.041153246103369526, "acc_norm": 0.6518518518518519, "acc_norm_stderr": 0.041153246103369526 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.6907894736842105, "acc_stderr": 0.037610708698674805, "acc_norm": 0.6907894736842105, "acc_norm_stderr": 0.037610708698674805 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.64, "acc_stderr": 0.04824181513244218, "acc_norm": 0.64, "acc_norm_stderr": 0.04824181513244218 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.7169811320754716, "acc_stderr": 0.027724236492700918, "acc_norm": 0.7169811320754716, "acc_norm_stderr": 0.027724236492700918 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.7847222222222222, "acc_stderr": 0.03437079344106135, "acc_norm": 0.7847222222222222, "acc_norm_stderr": 0.03437079344106135 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.48, "acc_stderr": 0.050211673156867795, "acc_norm": 0.48, "acc_norm_stderr": 0.050211673156867795 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.51, "acc_stderr": 0.05024183937956912, "acc_norm": 0.51, "acc_norm_stderr": 0.05024183937956912 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.32, "acc_stderr": 0.04688261722621504, "acc_norm": 0.32, "acc_norm_stderr": 0.04688261722621504 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.6820809248554913, "acc_stderr": 0.0355068398916558, "acc_norm": 0.6820809248554913, "acc_norm_stderr": 0.0355068398916558 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.45098039215686275, "acc_stderr": 0.04951218252396262, "acc_norm": 0.45098039215686275, "acc_norm_stderr": 0.04951218252396262 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.78, "acc_stderr": 0.04163331998932263, "acc_norm": 0.78, "acc_norm_stderr": 0.04163331998932263 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.5872340425531914, "acc_stderr": 0.03218471141400351, "acc_norm": 0.5872340425531914, "acc_norm_stderr": 0.03218471141400351 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.5087719298245614, "acc_stderr": 0.047028804320496165, "acc_norm": 0.5087719298245614, "acc_norm_stderr": 0.047028804320496165 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.593103448275862, "acc_stderr": 0.04093793981266236, "acc_norm": 0.593103448275862, "acc_norm_stderr": 0.04093793981266236 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.42063492063492064, "acc_stderr": 0.025424835086924003, "acc_norm": 0.42063492063492064, "acc_norm_stderr": 0.025424835086924003 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.47619047619047616, "acc_stderr": 0.04467062628403273, "acc_norm": 0.47619047619047616, "acc_norm_stderr": 0.04467062628403273 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.33, "acc_stderr": 0.04725815626252604, "acc_norm": 0.33, "acc_norm_stderr": 0.04725815626252604 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.7806451612903226, "acc_stderr": 0.023540799358723295, "acc_norm": 0.7806451612903226, "acc_norm_stderr": 0.023540799358723295 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.4975369458128079, "acc_stderr": 0.03517945038691063, "acc_norm": 0.4975369458128079, "acc_norm_stderr": 0.03517945038691063 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.67, "acc_stderr": 0.04725815626252607, "acc_norm": 0.67, "acc_norm_stderr": 0.04725815626252607 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.7696969696969697, "acc_stderr": 0.0328766675860349, "acc_norm": 0.7696969696969697, "acc_norm_stderr": 0.0328766675860349 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.797979797979798, "acc_stderr": 0.02860620428922987, "acc_norm": 0.797979797979798, "acc_norm_stderr": 0.02860620428922987 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.9015544041450777, "acc_stderr": 0.021500249576033456, "acc_norm": 0.9015544041450777, "acc_norm_stderr": 0.021500249576033456 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.676923076923077, "acc_stderr": 0.02371088850197057, "acc_norm": 0.676923076923077, "acc_norm_stderr": 0.02371088850197057 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.35185185185185186, "acc_stderr": 0.029116617606083, "acc_norm": 0.35185185185185186, "acc_norm_stderr": 0.029116617606083 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.6932773109243697, "acc_stderr": 0.029953823891887034, "acc_norm": 0.6932773109243697, "acc_norm_stderr": 0.029953823891887034 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.3509933774834437, "acc_stderr": 0.03896981964257375, "acc_norm": 0.3509933774834437, "acc_norm_stderr": 0.03896981964257375 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.8477064220183487, "acc_stderr": 0.015405084393157074, "acc_norm": 0.8477064220183487, "acc_norm_stderr": 0.015405084393157074 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.5185185185185185, "acc_stderr": 0.03407632093854051, "acc_norm": 0.5185185185185185, "acc_norm_stderr": 0.03407632093854051 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.8382352941176471, "acc_stderr": 0.02584501798692692, "acc_norm": 0.8382352941176471, "acc_norm_stderr": 0.02584501798692692 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.8059071729957806, "acc_stderr": 0.025744902532290916, "acc_norm": 0.8059071729957806, "acc_norm_stderr": 0.025744902532290916 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.6905829596412556, "acc_stderr": 0.03102441174057221, "acc_norm": 0.6905829596412556, "acc_norm_stderr": 0.03102441174057221 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.7480916030534351, "acc_stderr": 0.03807387116306085, "acc_norm": 0.7480916030534351, "acc_norm_stderr": 0.03807387116306085 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.7603305785123967, "acc_stderr": 0.03896878985070416, "acc_norm": 0.7603305785123967, "acc_norm_stderr": 0.03896878985070416 }, "harness\|hendrycksTest-jurisprudence\|5": { "acc": 0.7685185185185185, "acc_stderr": 0.04077494709252626, "acc_norm": 0.7685185185185185, "acc_norm_stderr": 0.04077494709252626 }, "harness\|hendrycksTest-logical_fallacies\|5": { "acc": 0.7607361963190185, "acc_stderr": 0.033519538795212696, "acc_norm": 0.7607361963190185, "acc_norm_stderr": 0.033519538795212696 }, "harness\|hendrycksTest-machine_learning\|5": { "acc": 0.42857142857142855, "acc_stderr": 0.04697113923010212, "acc_norm": 0.42857142857142855, "acc_norm_stderr": 0.04697113923010212 }, "harness\|hendrycksTest-management\|5": { "acc": 0.7475728155339806, "acc_stderr": 0.04301250399690878, "acc_norm": 0.7475728155339806, "acc_norm_stderr": 0.04301250399690878 }, "harness\|hendrycksTest-marketing\|5": { "acc": 0.8803418803418803, "acc_stderr": 0.021262719400406964, "acc_norm": 0.8803418803418803, "acc_norm_stderr": 0.021262719400406964 }, "harness\|hendrycksTest-medical_genetics\|5": { "acc": 0.72, "acc_stderr": 0.045126085985421276, "acc_norm": 0.72, "acc_norm_stderr": 0.045126085985421276 }, "harness\|hendrycksTest-miscellaneous\|5": { "acc": 0.8263090676883781, "acc_stderr": 0.01354741565866226, "acc_norm": 0.8263090676883781, "acc_norm_stderr": 0.01354741565866226 }, "harness\|hendrycksTest-moral_disputes\|5": { "acc": 0.7369942196531792, "acc_stderr": 0.023703099525258172, "acc_norm": 0.7369942196531792, "acc_norm_stderr": 0.023703099525258172 }, "harness\|hendrycksTest-moral_scenarios\|5": { "acc": 0.40893854748603353, "acc_stderr": 0.016442830654715544, "acc_norm": 0.40893854748603353, "acc_norm_stderr": 0.016442830654715544 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.696078431372549, "acc_stderr": 0.02633661346904663, "acc_norm": 0.696078431372549, "acc_norm_stderr": 0.02633661346904663 }, "harness\|hendrycksTest-philosophy\|5": { "acc": 0.7202572347266881, "acc_stderr": 0.02549425935069491, "acc_norm": 0.7202572347266881, "acc_norm_stderr": 0.02549425935069491 }, "harness\|hendrycksTest-prehistory\|5": { "acc": 0.7592592592592593, "acc_stderr": 0.02378858355165854, "acc_norm": 0.7592592592592593, "acc_norm_stderr": 0.02378858355165854 }, "harness\|hendrycksTest-professional_accounting\|5": { "acc": 0.49645390070921985, "acc_stderr": 0.02982674915328092, "acc_norm": 0.49645390070921985, "acc_norm_stderr": 0.02982674915328092 }, "harness\|hendrycksTest-professional_law\|5": { "acc": 0.46479791395045633, "acc_stderr": 0.012738547371303956, "acc_norm": 0.46479791395045633, "acc_norm_stderr": 0.012738547371303956 }, "harness\|hendrycksTest-professional_medicine\|5": { "acc": 0.6764705882352942, "acc_stderr": 0.02841820861940676, "acc_norm": 0.6764705882352942, "acc_norm_stderr": 0.02841820861940676 }, "harness\|hendrycksTest-professional_psychology\|5": { "acc": 0.684640522875817, "acc_stderr": 0.018798086284886887, "acc_norm": 0.684640522875817, "acc_norm_stderr": 0.018798086284886887 }, "harness\|hendrycksTest-public_relations\|5": { "acc": 0.6909090909090909, "acc_stderr": 0.044262946482000985, "acc_norm": 0.6909090909090909, "acc_norm_stderr": 0.044262946482000985 }, "harness\|hendrycksTest-security_studies\|5": { "acc": 0.7387755102040816, "acc_stderr": 0.028123429335142783, "acc_norm": 0.7387755102040816, "acc_norm_stderr": 0.028123429335142783 }, "harness\|hendrycksTest-sociology\|5": { "acc": 0.8308457711442786, "acc_stderr": 0.026508590656233264, "acc_norm": 0.8308457711442786, "acc_norm_stderr": 0.026508590656233264 }, "harness\|hendrycksTest-us_foreign_policy\|5": { "acc": 0.85, "acc_stderr": 0.0358870281282637, "acc_norm": 0.85, "acc_norm_stderr": 0.0358870281282637 }, "harness\|hendrycksTest-virology\|5": { "acc": 0.5421686746987951, "acc_stderr": 0.0387862677100236, "acc_norm": 0.5421686746987951, "acc_norm_stderr": 0.0387862677100236 }, "harness\|hendrycksTest-world_religions\|5": { "acc": 0.8128654970760234, "acc_stderr": 0.02991312723236804, "acc_norm": 0.8128654970760234, "acc_norm_stderr": 0.02991312723236804 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.5250917992656059, "mc1_stderr": 0.017481446804104014, "mc2": 0.6812302607383641, "mc2_stderr": 0.014858561443304524 }, "harness\|winogrande\|5": { "acc": 0.8310970797158642, "acc_stderr": 0.010529981411838911 }, "harness\|gsm8k\|5": { "acc": 0.7020470053070508, "acc_stderr": 0.01259793223291453 } } ``` ## 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]
ArmelR/hundred	--- dataset_info: features: - name: question_id dtype: int64 - name: parent_answer_post_id dtype: int64 - name: prob dtype: float64 - name: snippet dtype: string - name: intent dtype: string - name: id dtype: string - name: rewritten_intent dtype: string splits: - name: train num_bytes: 20242 num_examples: 100 - name: test num_bytes: 1397 num_examples: 7 download_size: 23587 dataset_size: 21639 --- # Dataset Card for "hundred" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Ryan-Pupia/CS482-HousingDataSet	--- dataset_info: features: - name: log_stand__housing_median_age dtype: float64 - name: log_stand__total_rooms dtype: float64 - name: log_stand__total_bedrooms dtype: float64 - name: log_stand__population dtype: float64 - name: log_stand__households dtype: float64 - name: log_stand__median_income dtype: float64 - name: log_stand__median_house_value dtype: float64 - name: encode__ocean_proximity_<1H OCEAN dtype: float64 - name: encode__ocean_proximity_INLAND dtype: float64 - name: encode__ocean_proximity_ISLAND dtype: float64 - name: encode__ocean_proximity_NEAR BAY dtype: float64 - name: encode__ocean_proximity_NEAR OCEAN dtype: float64 - name: scale__longitude dtype: float64 - name: scale__latitude dtype: float64 splits: - name: train num_bytes: 1648864 num_examples: 14722 - name: test num_bytes: 412272 num_examples: 3681 download_size: 1130408 dataset_size: 2061136 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* license: mit language: - en pretty_name: Pre-Processed Housing Data --- This dataset consists of processed and separated data for producing and validating a model using california housing data
IWant2TryHard/ytcomments	--- license: mit ---
raicrits/news_urls	--- license: other --- A collection of about 21k urls of news articles taken from RAI news sites (national and regionals). The file ("urls_train_set.csv") contains around 20k of them reffering to articles published in the period 01/01/2022 – 09/03/2023 while the file ("urls_test_set.csv") contains urls referring to articles published in the period 10/03/2023 - 04/05/2023.
mask-distilled-onesec-cv12-each-chunk-uniq/chunk_191	--- dataset_info: features: - name: logits sequence: float32 - name: mfcc sequence: sequence: float64 splits: - name: train num_bytes: 1308756024.0 num_examples: 257022 download_size: 1335935590 dataset_size: 1308756024.0 --- # Dataset Card for "chunk_191" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
zolak/twitter_dataset_50_1713096786	--- dataset_info: features: - name: id dtype: string - name: tweet_content dtype: string - name: user_name dtype: string - name: user_id dtype: string - name: created_at dtype: string - name: url dtype: string - name: favourite_count dtype: int64 - name: scraped_at dtype: string - name: image_urls dtype: string splits: - name: train num_bytes: 2815459 num_examples: 6945 download_size: 1444421 dataset_size: 2815459 configs: - config_name: default data_files: - split: train path: data/train-* ---
eb/num2	--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 130139906 num_examples: 1000000 download_size: 69692182 dataset_size: 130139906 configs: - config_name: default data_files: - split: train path: data/train-* ---
akhmedsakip/music-berkeley-emotions	--- dataset_info: features: - name: audio dtype: audio: sampling_rate: 16000 - name: label dtype: class_label: names: '0': L '1': A '2': K '3': D '4': C '5': H '6': F '7': E '8': J '9': G '10': M '11': B '12': I splits: - name: train num_bytes: 225090972.57043225 num_examples: 1392 - name: test num_bytes: 39838241.765567765 num_examples: 246 download_size: 263271905 dataset_size: 264929214.33600003 --- # Dataset Card for "music-berkeley-emotions" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
sachith-surge/LaMini-LM-raw-instruction-only-dataset-TheBloke-h2ogpt-falcon-40b-v2-GGML	--- dataset_info: features: - name: instruction dtype: string - name: source dtype: string splits: - name: train num_bytes: 401407.7971614429 num_examples: 1505 download_size: 212603 dataset_size: 401407.7971614429 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "LaMini-LM-raw-instruction-only-dataset-TheBloke-h2ogpt-falcon-40b-v2-GGML" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Vinnyyw/Maitesong	--- license: openrail ---
KnutJaegersberg/longinstruct	--- license: mit ---
GabiRayman/melodea_data_test_main	--- dataset_info: features: - name: Description dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 31774 num_examples: 54 download_size: 21802 dataset_size: 31774 configs: - config_name: default data_files: - split: train path: data/train-* ---
lincoln/newsquadfr	--- annotations_creators: - private language_creators: null language: - fr-FR license: - cc-by-nc-sa-4.0 multilinguality: - monolingual size_categories: - 1K<n<10K source_datasets: - original - newspaper - online task_categories: - question-answering task_ids: - extractive-qa - open-domain-qa paperswithcode_id: null --- # Dataset Card for newsquadfr ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-instances) - [Data Splits](#data-instances) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) ## Dataset Description - Homepage: [lincoln.fr](https://www.lincoln.fr/) - Repository: [github/Lincoln-France](https://github.com/Lincoln-France) - Paper: [Needs More Information] - Leaderboard: [Needs More Information] - Point of Contact: [email](labinnovation@mel.lincoln.fr) ### Dataset Summary newsquadfr is a small dataset created for Question Answering task. Contexts are paragraphs of articles extracted from nine online french newspaper during year 2020/2021. newsquadfr stands for Newspaper question answering dataset in french. inspired by Piaf and Squad dataset. 2 520 triplets context - question - answer. ```py from datasets import load_dataset ds_name = 'lincoln/newsquadfr' # exemple 1 ds_newsquad = load_dataset(ds_name) # exemple 2 data_files = {'train': 'train.json', 'test': 'test.json', 'valid': 'valid.json'} ds_newsquad = load_dataset(ds_name, data_files=data_files) # exemple 3 ds_newsquad = load_dataset(ds_name, data_files=data_files, split="valid+test") ``` (train set) \| website \| Nb \| \|---------------\|-----\| \| cnews \| 20 \| \| francetvinfo \| 40 \| \| la-croix \| 375 \| \| lefigaro \| 160 \| \| lemonde \| 325 \| \| lesnumeriques \| 70 \| \| numerama \| 140 \| \| sudouest \| 475 \| \| usinenouvelle \| 45 \| ### Supported Tasks and Leaderboards - extractive-qa - open-domain-qa ### Languages Fr-fr ## Dataset Structure ### Data Instances ```json {'answers': {'answer_start': [53], 'text': ['manSuvre "agressive']}, 'article_id': 34138, 'article_title': 'Caricatures, Libye, Haut-Karabakh... Les six dossiers qui ' 'opposent Emmanuel Macron et Recep Tayyip Erdogan.', 'article_url': 'https://www.francetvinfo.fr/monde/turquie/caricatures-libye-haut-karabakh-les-six-dossiers-qui-opposent-emmanuel-macron-et-recep-tayyip-erdogan_4155611.html#xtor=RSS-3-[france]', 'context': 'Dans ce contexte déjà tendu, la France a dénoncé une manSuvre ' '"agressive" de la part de frégates turques à l\'encontre de l\'un ' "de ses navires engagés dans une mission de l'Otan, le 10 juin. " 'Selon Paris, la frégate Le Courbet cherchait à identifier un ' 'cargo suspecté de transporter des armes vers la Libye quand elle ' 'a été illuminée à trois reprises par le radar de conduite de tir ' "de l'escorte turque.", 'id': '2261', 'paragraph_id': 201225, 'question': "Qu'est ce que la France reproche à la Turquie?", 'website': 'francetvinfo'} ``` ### Data Fields - `answers`: a dictionary feature containing: - `text`: a `string` feature. - `answer_start`: a `int64` feature. - `article_id`: a `int64` feature. - `article_title`: a string feature. - `article_url`: a string feature. - `context`: a `string` feature. - `id`: a `string` feature. - `paragraph_id`: a `int64` feature. - `question`: a `string` feature. - `website`: a `string` feature. ### Data Splits \| Split \| Nb \| \|-------\|----\| \| train \|1650\| \| test \|415 \| \| valid \|455 \| ## Dataset Creation ### Curation Rationale [Needs More Information] ### Source Data #### Initial Data Collection and Normalization Paragraphs were chosen according to theses rules: - parent article must have more than 71% ASCII characters - paragraphs size must be between 170 and 670 characters - paragraphs shouldn't contain "A LIRE" or "A VOIR AUSSI" Then, we stratified our original dataset to create this dataset according to : - website - number of named entities - paragraph size #### Who are the source language producers? [Needs More Information] ### Annotations #### Annotation process Using Piaf annotation tools. Three different persons mostly. #### Who are the annotators? Lincoln ### Personal and Sensitive Information [Needs More Information] ## Considerations for Using the Data ### Social Impact of Dataset [Needs More Information] ### Discussion of Biases - Annotation is not well controlled - asking question on news is biaised ### Other Known Limitations [Needs More Information] ## Additional Information ### Dataset Curators [Needs More Information] ### Licensing Information https://creativecommons.org/licenses/by-nc-sa/4.0/deed.fr ### Citation Information [Needs More Information]
growth-cadet/criteria_validatorspass_eval_mistralfinetuned05_autotrain	--- dataset_info: features: - name: ats dtype: string - name: context dtype: string - name: sys5_obj struct: - name: focus_areas list: - name: description dtype: string - name: subject dtype: string - name: industries list: - name: description dtype: string - name: subject dtype: string - name: products_and_technologies list: - name: description dtype: string - name: subject dtype: string - name: eval_crit struct: - name: focus_areas dtype: float64 - name: industries dtype: float64 - name: products_and_technologies dtype: float64 - name: eval_values struct: - name: focus_areas sequence: int64 - name: industries sequence: int64 - name: products_and_technologies sequence: int64 - name: uuid dtype: string - name: prompt dtype: string - name: raw_output dtype: string - name: pass_pydantic dtype: int64 - name: pass_eval_embedd dtype: int64 - name: eval_finetuned_values struct: - name: focus_areas sequence: int64 - name: industries sequence: int64 - name: products_and_technologies sequence: int64 - name: eval_finetuned_crit struct: - name: focus_areas dtype: float64 - name: industries dtype: float64 - name: products_and_technologies dtype: float64 splits: - name: train num_bytes: 29402258 num_examples: 2148 download_size: 13743660 dataset_size: 29402258 configs: - config_name: default data_files: - split: train path: data/train-* ---
Marcola1/Marco	--- license: openrail ---
l4zy0n3/stripe_metrics_cyber_monday_23	--- license: gpl-3.0 ---
enoahjr/twitter_dataset_1713147710	--- dataset_info: features: - name: id dtype: string - name: tweet_content dtype: string - name: user_name dtype: string - name: user_id dtype: string - name: created_at dtype: string - name: url dtype: string - name: favourite_count dtype: int64 - name: scraped_at dtype: string - name: image_urls dtype: string splits: - name: train num_bytes: 90104 num_examples: 209 download_size: 29074 dataset_size: 90104 configs: - config_name: default data_files: - split: train path: data/train-* ---
open-llm-leaderboard/details_roneneldan__TinyStories-1M	--- pretty_name: Evaluation run of roneneldan/TinyStories-1M dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [roneneldan/TinyStories-1M](https://huggingface.co/roneneldan/TinyStories-1M)\ \ 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_roneneldan__TinyStories-1M\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-09-22T21:41:24.294253](https://huggingface.co/datasets/open-llm-leaderboard/details_roneneldan__TinyStories-1M/blob/main/results_2023-09-22T21-41-24.294253.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\": 0.00020973154362416107,\n\ \ \"em_stderr\": 0.00014829481977282063,\n \"f1\": 0.003178481543624158,\n\ \ \"f1_stderr\": 0.0002730192207643319,\n \"acc\": 0.26085240726124703,\n\ \ \"acc_stderr\": 0.007019619608242314\n },\n \"harness\|drop\|3\": {\n\ \ \"em\": 0.00020973154362416107,\n \"em_stderr\": 0.00014829481977282063,\n\ \ \"f1\": 0.003178481543624158,\n \"f1_stderr\": 0.0002730192207643319\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.0,\n \"acc_stderr\"\ : 0.0\n },\n \"harness\|winogrande\|5\": {\n \"acc\": 0.5217048145224941,\n\ \ \"acc_stderr\": 0.014039239216484627\n }\n}\n```" repo_url: https://huggingface.co/roneneldan/TinyStories-1M 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_07_19T13_25_02.593147 path: - '/details_harness\|arc:challenge\|25_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-07-19T13:25:02.593147.parquet' - config_name: harness_drop_3 data_files: - split: 2023_09_22T21_41_24.294253 path: - '/details_harness\|drop\|3_2023-09-22T21-41-24.294253.parquet' - split: latest path: - '/details_harness\|drop\|3_2023-09-22T21-41-24.294253.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_09_22T21_41_24.294253 path: - '/details_harness\|gsm8k\|5_2023-09-22T21-41-24.294253.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-09-22T21-41-24.294253.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_07_19T13_25_02.593147 path: - '/details_harness\|hellaswag\|10_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-07-19T13:25:02.593147.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '/details_harness\|hendrycksTest-management\|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '/details_harness\|hendrycksTest-virology\|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_07_19T13_25_02.593147 path: - '/details_harness\|truthfulqa:mc\|0_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-07-19T13:25:02.593147.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_09_22T21_41_24.294253 path: - '/details_harness\|winogrande\|5_2023-09-22T21-41-24.294253.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-09-22T21-41-24.294253.parquet' - config_name: results data_files: - split: 2023_07_19T13_25_02.593147 path: - results_2023-07-19T13:25:02.593147.parquet - split: 2023_09_22T21_41_24.294253 path: - results_2023-09-22T21-41-24.294253.parquet - split: latest path: - results_2023-09-22T21-41-24.294253.parquet --- # Dataset Card for Evaluation run of roneneldan/TinyStories-1M ## Dataset Description - Homepage: - Repository: https://huggingface.co/roneneldan/TinyStories-1M - 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 [roneneldan/TinyStories-1M](https://huggingface.co/roneneldan/TinyStories-1M) 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_roneneldan__TinyStories-1M", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-09-22T21:41:24.294253](https://huggingface.co/datasets/open-llm-leaderboard/details_roneneldan__TinyStories-1M/blob/main/results_2023-09-22T21-41-24.294253.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": 0.00020973154362416107, "em_stderr": 0.00014829481977282063, "f1": 0.003178481543624158, "f1_stderr": 0.0002730192207643319, "acc": 0.26085240726124703, "acc_stderr": 0.007019619608242314 }, "harness\|drop\|3": { "em": 0.00020973154362416107, "em_stderr": 0.00014829481977282063, "f1": 0.003178481543624158, "f1_stderr": 0.0002730192207643319 }, "harness\|gsm8k\|5": { "acc": 0.0, "acc_stderr": 0.0 }, "harness\|winogrande\|5": { "acc": 0.5217048145224941, "acc_stderr": 0.014039239216484627 } } ``` ### 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]
zzh1997/test	--- task_categories: - token-classification language: - ch pretty_name: ss ---
H-Huang/complex_word_identification	--- license: cc-by-4.0 --- source: https://www.inf.uni-hamburg.de/en/inst/ab/lt/resources/data/complex-word-identification-dataset.html
Yunij/fake_dataset_only	--- license: apache-2.0 dataset_info: features: - name: image dtype: string - name: actual dtype: int64 - name: feature_embeddings sequence: float64 splits: - name: train num_bytes: 764035610 num_examples: 123287 download_size: 622264333 dataset_size: 764035610 configs: - config_name: default data_files: - split: train path: data/train-* ---
arthurmluz/cstnews_data-wiki_1024_results	--- dataset_info: features: - name: id dtype: string - name: text dtype: string - name: summary dtype: string - name: gen_summary dtype: string - name: rouge struct: - name: rouge1 dtype: float64 - name: rouge2 dtype: float64 - name: rougeL dtype: float64 - name: rougeLsum dtype: float64 - name: bert struct: - name: f1 sequence: float64 - name: hashcode dtype: string - name: precision sequence: float64 - name: recall sequence: float64 - name: moverScore dtype: float64 splits: - name: validation num_bytes: 50681 num_examples: 16 download_size: 0 dataset_size: 50681 configs: - config_name: default data_files: - split: validation path: data/validation-* --- # Dataset Card for "cstnews_data-wiki_1024_results" rouge= {'rouge1': 0.2556160962870545, 'rouge2': 0.10105330295297661, 'rougeL': 0.18616276144956143, 'rougeLsum': 0.18616276144956143} bert= {'precision': 0.7447284124791622, 'recall': 0.6668070293962955, 'f1': 0.7032350450754166} mover = 0.5737413741663241
Hilalcelik/turkishReviews-ds-mini	--- dataset_info: features: - name: review dtype: string - name: review_length dtype: int64 splits: - name: train num_bytes: 1252876.2642514652 num_examples: 3378 - name: validation num_bytes: 139455.7357485349 num_examples: 376 download_size: 0 dataset_size: 1392332.0 --- # Dataset Card for "turkishReviews-ds-mini" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
mithlesh/Flight_Ticket_Booking_Json	--- dataset_info: features: - name: Context dtype: string - name: Knowledge dtype: string - name: Response dtype: string splits: - name: train num_bytes: 2418454 num_examples: 2126 download_size: 109855 dataset_size: 2418454 configs: - config_name: default data_files: - split: train path: data/train-* ---
deepghs/monochrome_danbooru	--- license: mit --- This dataset is designed to train models for monochrome image classification, and the data is mainly sourced from danbooru and pixiv. All images in this dataset are guaranteed to be in JPEG format with a file extension of `.jpg`. Currently, it has three different versions: \| Version \| Description \| Monochrome Images \| Normal Images \| Total Images \| \|:-----------------------------------------------------------------------------:\|:--------------------:\|:-----------------:\|:-------------:\|:------------:\| \| [v1.0](https://huggingface.co/datasets/deepghs/monochrome_danbooru/tree/v1.0) \| Oldest version \| 304 \| 174 \| 478 \| \| [v1.1](https://huggingface.co/datasets/deepghs/monochrome_danbooru/tree/v1.1) \| Balanced samples \| 528 \| 514 \| 1042 \| \| [v2.0](https://huggingface.co/datasets/deepghs/monochrome_danbooru/tree/v2.0) \| More complex samples \| 2208 \| 2250 \| 4458 \|
KoladeOdunope/RLHF_Dataset	--- dataset_info: features: - name: query dtype: string - name: rejected dtype: string - name: accepted dtype: string - name: __index_level_0__ dtype: string splits: - name: train num_bytes: 6406390 num_examples: 1029 download_size: 2612881 dataset_size: 6406390 configs: - config_name: default data_files: - split: train path: data/train-* ---
mouryachinta/yanthraa-mourya-1500	--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 1750135 num_examples: 1500 download_size: 1077149 dataset_size: 1750135 configs: - config_name: default data_files: - split: train path: data/train-* ---
thegreyhound/products	--- license: unknown ---
Mitsuki-Sakamoto/alpaca_farm-deberta-re-pref-64-_fil_self_160m_bo16_2_mix_50_kl_0.1_prm_70m_thr_0.3_seed_2	--- dataset_info: config_name: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1 features: - name: instruction dtype: string - name: input dtype: string - name: output dtype: string - name: preference dtype: int64 - name: output_1 dtype: string - name: output_2 dtype: string - name: reward_model_prompt_format dtype: string - name: gen_prompt_format dtype: string - name: gen_kwargs struct: - name: do_sample dtype: bool - name: max_new_tokens dtype: int64 - name: pad_token_id dtype: int64 - name: top_k dtype: int64 - name: top_p dtype: float64 - name: reward_1 dtype: float64 - name: reward_2 dtype: float64 - name: n_samples dtype: int64 - name: reject_select dtype: string - name: index dtype: int64 - name: prompt dtype: string - name: chosen dtype: string - name: rejected dtype: string - name: filtered_epoch dtype: int64 - name: gen_reward dtype: float64 - name: gen_response dtype: string splits: - name: epoch_0 num_bytes: 43761297 num_examples: 18928 - name: epoch_1 num_bytes: 44345524 num_examples: 18928 - name: epoch_2 num_bytes: 44437506 num_examples: 18928 - name: epoch_3 num_bytes: 44469689 num_examples: 18928 - name: epoch_4 num_bytes: 44474667 num_examples: 18928 - name: epoch_5 num_bytes: 44464460 num_examples: 18928 - name: epoch_6 num_bytes: 44442708 num_examples: 18928 - name: epoch_7 num_bytes: 44422364 num_examples: 18928 - name: epoch_8 num_bytes: 44414794 num_examples: 18928 - name: epoch_9 num_bytes: 44410898 num_examples: 18928 - name: epoch_10 num_bytes: 44411476 num_examples: 18928 - name: epoch_11 num_bytes: 44406870 num_examples: 18928 - name: epoch_12 num_bytes: 44409267 num_examples: 18928 - name: epoch_13 num_bytes: 44409143 num_examples: 18928 - name: epoch_14 num_bytes: 44408111 num_examples: 18928 - name: epoch_15 num_bytes: 44407603 num_examples: 18928 - name: epoch_16 num_bytes: 44408486 num_examples: 18928 - name: epoch_17 num_bytes: 44405857 num_examples: 18928 - name: epoch_18 num_bytes: 44406319 num_examples: 18928 - name: epoch_19 num_bytes: 44406957 num_examples: 18928 - name: epoch_20 num_bytes: 44405910 num_examples: 18928 - name: epoch_21 num_bytes: 44406498 num_examples: 18928 - name: epoch_22 num_bytes: 44406929 num_examples: 18928 - name: epoch_23 num_bytes: 44405194 num_examples: 18928 - name: epoch_24 num_bytes: 44405536 num_examples: 18928 - name: epoch_25 num_bytes: 44405889 num_examples: 18928 - name: epoch_26 num_bytes: 44404896 num_examples: 18928 - name: epoch_27 num_bytes: 44404886 num_examples: 18928 - name: epoch_28 num_bytes: 44406038 num_examples: 18928 - name: epoch_29 num_bytes: 44407507 num_examples: 18928 download_size: 700201551 dataset_size: 1331783279 configs: - config_name: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1 data_files: - split: epoch_0 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_0-* - split: epoch_1 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_1-* - split: epoch_2 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_2-* - split: epoch_3 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_3-* - split: epoch_4 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_4-* - split: epoch_5 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_5-* - split: epoch_6 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_6-* - split: epoch_7 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_7-* - split: epoch_8 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_8-* - split: epoch_9 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_9-* - split: epoch_10 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_10-* - split: epoch_11 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_11-* - split: epoch_12 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_12-* - split: epoch_13 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_13-* - split: epoch_14 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_14-* - split: epoch_15 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_15-* - split: epoch_16 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_16-* - split: epoch_17 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_17-* - split: epoch_18 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_18-* - split: epoch_19 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_19-* - split: epoch_20 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_20-* - split: epoch_21 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_21-* - split: epoch_22 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_22-* - split: epoch_23 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_23-* - split: epoch_24 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_24-* - split: epoch_25 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_25-* - split: epoch_26 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_26-* - split: epoch_27 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_27-* - split: epoch_28 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_28-* - split: epoch_29 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_29-* ---
pszemraj/bookcorpus_deduplicated-formatted	--- license: apache-2.0 task_categories: - text-generation language: - en source_datasets: - saibo/bookcorpus_deduplicated - bookcorpus --- # bookcorpus_deduplicated-formatted Based on `saibo/bookcorpus_deduplicated`, an attempt was made to fix , perhaps , issues like this where the whitespace is nonsensical . ## Why This Matters Spaces are like the unsung heroes of readable content . They maintain order , balance, and rhythm . But sometimes, they just want to rebel and go where they're not needed . Just like cats sitting where they shouldn't . Like, why are you on the fridge , Mr.Whiskers ?
results-sd-v1-5-sd-v2-1-if-v1-0-karlo/7bd33ae8	--- dataset_info: features: - name: result dtype: string - name: id dtype: int64 splits: - name: train num_bytes: 184 num_examples: 10 download_size: 1336 dataset_size: 184 --- # Dataset Card for "7bd33ae8" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
open-llm-leaderboard/details_alignment-handbook__zephyr-7b-dpo-qlora	--- pretty_name: Evaluation run of alignment-handbook/zephyr-7b-dpo-qlora dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [alignment-handbook/zephyr-7b-dpo-qlora](https://huggingface.co/alignment-handbook/zephyr-7b-dpo-qlora)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 63 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 (and is used to compute and display the aggregated 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_alignment-handbook__zephyr-7b-dpo-qlora\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-01-26T21:27:47.387655](https://huggingface.co/datasets/open-llm-leaderboard/details_alignment-handbook__zephyr-7b-dpo-qlora/blob/main/results_2024-01-26T21-27-47.387655.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\": 0.6369766338808557,\n\ \ \"acc_stderr\": 0.03238152491968989,\n \"acc_norm\": 0.641831921094304,\n\ \ \"acc_norm_stderr\": 0.033030780304730514,\n \"mc1\": 0.31701346389228885,\n\ \ \"mc1_stderr\": 0.016289203374403385,\n \"mc2\": 0.4714491532888518,\n\ \ \"mc2_stderr\": 0.014683410665396914\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.6083617747440273,\n \"acc_stderr\": 0.014264122124938217,\n\ \ \"acc_norm\": 0.636518771331058,\n \"acc_norm_stderr\": 0.014056207319068285\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.658334993029277,\n\ \ \"acc_stderr\": 0.004732986187325878,\n \"acc_norm\": 0.8535152360087632,\n\ \ \"acc_norm_stderr\": 0.0035286889976580533\n },\n \"harness\|hendrycksTest-abstract_algebra\|5\"\ : {\n \"acc\": 0.28,\n \"acc_stderr\": 0.04512608598542129,\n \ \ \"acc_norm\": 0.28,\n \"acc_norm_stderr\": 0.04512608598542129\n \ \ },\n \"harness\|hendrycksTest-anatomy\|5\": {\n \"acc\": 0.6074074074074074,\n\ \ \"acc_stderr\": 0.0421850621536888,\n \"acc_norm\": 0.6074074074074074,\n\ \ \"acc_norm_stderr\": 0.0421850621536888\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.6578947368421053,\n \"acc_stderr\": 0.03860731599316091,\n\ \ \"acc_norm\": 0.6578947368421053,\n \"acc_norm_stderr\": 0.03860731599316091\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|5\": {\n \"acc\": 0.58,\n\ \ \"acc_stderr\": 0.049604496374885836,\n \"acc_norm\": 0.58,\n \ \ \"acc_norm_stderr\": 0.049604496374885836\n },\n \"harness\|hendrycksTest-clinical_knowledge\|5\"\ : {\n \"acc\": 0.7056603773584905,\n \"acc_stderr\": 0.02804918631569525,\n\ \ \"acc_norm\": 0.7056603773584905,\n \"acc_norm_stderr\": 0.02804918631569525\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.7291666666666666,\n\ \ \"acc_stderr\": 0.03716177437566017,\n \"acc_norm\": 0.7291666666666666,\n\ \ \"acc_norm_stderr\": 0.03716177437566017\n },\n \"harness\|hendrycksTest-college_chemistry\|5\"\ : {\n \"acc\": 0.5,\n \"acc_stderr\": 0.050251890762960605,\n \ \ \"acc_norm\": 0.5,\n \"acc_norm_stderr\": 0.050251890762960605\n \ \ },\n \"harness\|hendrycksTest-college_computer_science\|5\": {\n \"acc\"\ : 0.57,\n \"acc_stderr\": 0.049756985195624284,\n \"acc_norm\": 0.57,\n\ \ \"acc_norm_stderr\": 0.049756985195624284\n },\n \"harness\|hendrycksTest-college_mathematics\|5\"\ : {\n \"acc\": 0.29,\n \"acc_stderr\": 0.045604802157206845,\n \ \ \"acc_norm\": 0.29,\n \"acc_norm_stderr\": 0.045604802157206845\n \ \ },\n \"harness\|hendrycksTest-college_medicine\|5\": {\n \"acc\": 0.6647398843930635,\n\ \ \"acc_stderr\": 0.03599586301247077,\n \"acc_norm\": 0.6647398843930635,\n\ \ \"acc_norm_stderr\": 0.03599586301247077\n },\n \"harness\|hendrycksTest-college_physics\|5\"\ : {\n \"acc\": 0.4019607843137255,\n \"acc_stderr\": 0.048786087144669955,\n\ \ \"acc_norm\": 0.4019607843137255,\n \"acc_norm_stderr\": 0.048786087144669955\n\ \ },\n \"harness\|hendrycksTest-computer_security\|5\": {\n \"acc\":\ \ 0.78,\n \"acc_stderr\": 0.04163331998932263,\n \"acc_norm\": 0.78,\n\ \ \"acc_norm_stderr\": 0.04163331998932263\n },\n \"harness\|hendrycksTest-conceptual_physics\|5\"\ : {\n \"acc\": 0.5446808510638298,\n \"acc_stderr\": 0.03255525359340355,\n\ \ \"acc_norm\": 0.5446808510638298,\n \"acc_norm_stderr\": 0.03255525359340355\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.49122807017543857,\n\ \ \"acc_stderr\": 0.04702880432049615,\n \"acc_norm\": 0.49122807017543857,\n\ \ \"acc_norm_stderr\": 0.04702880432049615\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.5862068965517241,\n \"acc_stderr\": 0.04104269211806232,\n\ \ \"acc_norm\": 0.5862068965517241,\n \"acc_norm_stderr\": 0.04104269211806232\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.40476190476190477,\n \"acc_stderr\": 0.0252798503974049,\n \"\ acc_norm\": 0.40476190476190477,\n \"acc_norm_stderr\": 0.0252798503974049\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.42857142857142855,\n\ \ \"acc_stderr\": 0.04426266681379909,\n \"acc_norm\": 0.42857142857142855,\n\ \ \"acc_norm_stderr\": 0.04426266681379909\n },\n \"harness\|hendrycksTest-global_facts\|5\"\ : {\n \"acc\": 0.38,\n \"acc_stderr\": 0.04878317312145633,\n \ \ \"acc_norm\": 0.38,\n \"acc_norm_stderr\": 0.04878317312145633\n \ \ },\n \"harness\|hendrycksTest-high_school_biology\|5\": {\n \"acc\": 0.7548387096774194,\n\ \ \"acc_stderr\": 0.024472243840895525,\n \"acc_norm\": 0.7548387096774194,\n\ \ \"acc_norm_stderr\": 0.024472243840895525\n },\n \"harness\|hendrycksTest-high_school_chemistry\|5\"\ : {\n \"acc\": 0.5221674876847291,\n \"acc_stderr\": 0.03514528562175008,\n\ \ \"acc_norm\": 0.5221674876847291,\n \"acc_norm_stderr\": 0.03514528562175008\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|5\": {\n \ \ \"acc\": 0.65,\n \"acc_stderr\": 0.04793724854411019,\n \"acc_norm\"\ : 0.65,\n \"acc_norm_stderr\": 0.04793724854411019\n },\n \"harness\|hendrycksTest-high_school_european_history\|5\"\ : {\n \"acc\": 0.7515151515151515,\n \"acc_stderr\": 0.03374402644139403,\n\ \ \"acc_norm\": 0.7515151515151515,\n \"acc_norm_stderr\": 0.03374402644139403\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.7676767676767676,\n \"acc_stderr\": 0.030088629490217487,\n \"\ acc_norm\": 0.7676767676767676,\n \"acc_norm_stderr\": 0.030088629490217487\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.8756476683937824,\n \"acc_stderr\": 0.023814477086593542,\n\ \ \"acc_norm\": 0.8756476683937824,\n \"acc_norm_stderr\": 0.023814477086593542\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.6461538461538462,\n \"acc_stderr\": 0.024243783994062153,\n\ \ \"acc_norm\": 0.6461538461538462,\n \"acc_norm_stderr\": 0.024243783994062153\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.36666666666666664,\n \"acc_stderr\": 0.029381620726465076,\n \ \ \"acc_norm\": 0.36666666666666664,\n \"acc_norm_stderr\": 0.029381620726465076\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.6596638655462185,\n \"acc_stderr\": 0.030778057422931673,\n\ \ \"acc_norm\": 0.6596638655462185,\n \"acc_norm_stderr\": 0.030778057422931673\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.3443708609271523,\n \"acc_stderr\": 0.038796870240733264,\n \"\ acc_norm\": 0.3443708609271523,\n \"acc_norm_stderr\": 0.038796870240733264\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.818348623853211,\n \"acc_stderr\": 0.016530617409266878,\n \"\ acc_norm\": 0.818348623853211,\n \"acc_norm_stderr\": 0.016530617409266878\n\ \ },\n \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\"\ : 0.5416666666666666,\n \"acc_stderr\": 0.03398110890294636,\n \"\ acc_norm\": 0.5416666666666666,\n \"acc_norm_stderr\": 0.03398110890294636\n\ \ },\n \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\"\ : 0.7892156862745098,\n \"acc_stderr\": 0.028626547912437406,\n \"\ acc_norm\": 0.7892156862745098,\n \"acc_norm_stderr\": 0.028626547912437406\n\ \ },\n \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"\ acc\": 0.7637130801687764,\n \"acc_stderr\": 0.027652153144159263,\n \ \ \"acc_norm\": 0.7637130801687764,\n \"acc_norm_stderr\": 0.027652153144159263\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.6995515695067265,\n\ \ \"acc_stderr\": 0.03076935200822915,\n \"acc_norm\": 0.6995515695067265,\n\ \ \"acc_norm_stderr\": 0.03076935200822915\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.7786259541984732,\n \"acc_stderr\": 0.0364129708131373,\n\ \ \"acc_norm\": 0.7786259541984732,\n \"acc_norm_stderr\": 0.0364129708131373\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.7603305785123967,\n \"acc_stderr\": 0.03896878985070416,\n \"\ acc_norm\": 0.7603305785123967,\n \"acc_norm_stderr\": 0.03896878985070416\n\ \ },\n \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.7685185185185185,\n\ \ \"acc_stderr\": 0.04077494709252627,\n \"acc_norm\": 0.7685185185185185,\n\ \ \"acc_norm_stderr\": 0.04077494709252627\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.7607361963190185,\n \"acc_stderr\": 0.0335195387952127,\n\ \ \"acc_norm\": 0.7607361963190185,\n \"acc_norm_stderr\": 0.0335195387952127\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.5267857142857143,\n\ \ \"acc_stderr\": 0.047389751192741546,\n \"acc_norm\": 0.5267857142857143,\n\ \ \"acc_norm_stderr\": 0.047389751192741546\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.8155339805825242,\n \"acc_stderr\": 0.03840423627288276,\n\ \ \"acc_norm\": 0.8155339805825242,\n \"acc_norm_stderr\": 0.03840423627288276\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.8803418803418803,\n\ \ \"acc_stderr\": 0.021262719400406957,\n \"acc_norm\": 0.8803418803418803,\n\ \ \"acc_norm_stderr\": 0.021262719400406957\n },\n \"harness\|hendrycksTest-medical_genetics\|5\"\ : {\n \"acc\": 0.73,\n \"acc_stderr\": 0.044619604333847394,\n \ \ \"acc_norm\": 0.73,\n \"acc_norm_stderr\": 0.044619604333847394\n \ \ },\n \"harness\|hendrycksTest-miscellaneous\|5\": {\n \"acc\": 0.8173690932311622,\n\ \ \"acc_stderr\": 0.013816335389973133,\n \"acc_norm\": 0.8173690932311622,\n\ \ \"acc_norm_stderr\": 0.013816335389973133\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.7283236994219653,\n \"acc_stderr\": 0.02394851290546836,\n\ \ \"acc_norm\": 0.7283236994219653,\n \"acc_norm_stderr\": 0.02394851290546836\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.33743016759776534,\n\ \ \"acc_stderr\": 0.015813901283913048,\n \"acc_norm\": 0.33743016759776534,\n\ \ \"acc_norm_stderr\": 0.015813901283913048\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.7549019607843137,\n \"acc_stderr\": 0.02463004897982478,\n\ \ \"acc_norm\": 0.7549019607843137,\n \"acc_norm_stderr\": 0.02463004897982478\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.6945337620578779,\n\ \ \"acc_stderr\": 0.02616058445014045,\n \"acc_norm\": 0.6945337620578779,\n\ \ \"acc_norm_stderr\": 0.02616058445014045\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.7376543209876543,\n \"acc_stderr\": 0.024477222856135114,\n\ \ \"acc_norm\": 0.7376543209876543,\n \"acc_norm_stderr\": 0.024477222856135114\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.4929078014184397,\n \"acc_stderr\": 0.02982449855912901,\n \ \ \"acc_norm\": 0.4929078014184397,\n \"acc_norm_stderr\": 0.02982449855912901\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.45827900912646674,\n\ \ \"acc_stderr\": 0.012725701656953638,\n \"acc_norm\": 0.45827900912646674,\n\ \ \"acc_norm_stderr\": 0.012725701656953638\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.6580882352941176,\n \"acc_stderr\": 0.028814722422254184,\n\ \ \"acc_norm\": 0.6580882352941176,\n \"acc_norm_stderr\": 0.028814722422254184\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.6797385620915033,\n \"acc_stderr\": 0.018875682938069446,\n \ \ \"acc_norm\": 0.6797385620915033,\n \"acc_norm_stderr\": 0.018875682938069446\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.6454545454545455,\n\ \ \"acc_stderr\": 0.045820048415054174,\n \"acc_norm\": 0.6454545454545455,\n\ \ \"acc_norm_stderr\": 0.045820048415054174\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.7224489795918367,\n \"acc_stderr\": 0.02866685779027465,\n\ \ \"acc_norm\": 0.7224489795918367,\n \"acc_norm_stderr\": 0.02866685779027465\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.8159203980099502,\n\ \ \"acc_stderr\": 0.027403859410786855,\n \"acc_norm\": 0.8159203980099502,\n\ \ \"acc_norm_stderr\": 0.027403859410786855\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.87,\n \"acc_stderr\": 0.033799766898963086,\n \ \ \"acc_norm\": 0.87,\n \"acc_norm_stderr\": 0.033799766898963086\n \ \ },\n \"harness\|hendrycksTest-virology\|5\": {\n \"acc\": 0.5602409638554217,\n\ \ \"acc_stderr\": 0.03864139923699122,\n \"acc_norm\": 0.5602409638554217,\n\ \ \"acc_norm_stderr\": 0.03864139923699122\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.8304093567251462,\n \"acc_stderr\": 0.02878210810540171,\n\ \ \"acc_norm\": 0.8304093567251462,\n \"acc_norm_stderr\": 0.02878210810540171\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.31701346389228885,\n\ \ \"mc1_stderr\": 0.016289203374403385,\n \"mc2\": 0.4714491532888518,\n\ \ \"mc2_stderr\": 0.014683410665396914\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.7900552486187845,\n \"acc_stderr\": 0.01144628062926263\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.42077331311599697,\n \ \ \"acc_stderr\": 0.013598489497182838\n }\n}\n```" repo_url: https://huggingface.co/alignment-handbook/zephyr-7b-dpo-qlora 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: 2024_01_26T21_27_47.387655 path: - '/details_harness\|arc:challenge\|25_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2024-01-26T21-27-47.387655.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '/details_harness\|gsm8k\|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_01_26T21_27_47.387655 path: - '/details_harness\|hellaswag\|10_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-01-26T21-27-47.387655.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '/details_harness\|hendrycksTest-international_law\|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '/details_harness\|hendrycksTest-management\|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '/details_harness\|hendrycksTest-marketing\|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '/details_harness\|hendrycksTest-sociology\|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '/details_harness\|hendrycksTest-virology\|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_01_26T21_27_47.387655 path: - '/details_harness\|truthfulqa:mc\|0_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2024-01-26T21-27-47.387655.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '/details_harness\|winogrande\|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2024-01-26T21-27-47.387655.parquet' - config_name: results data_files: - split: 2024_01_26T21_27_47.387655 path: - results_2024-01-26T21-27-47.387655.parquet - split: latest path: - results_2024-01-26T21-27-47.387655.parquet --- # Dataset Card for Evaluation run of alignment-handbook/zephyr-7b-dpo-qlora <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [alignment-handbook/zephyr-7b-dpo-qlora](https://huggingface.co/alignment-handbook/zephyr-7b-dpo-qlora) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 63 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 (and is used to compute and display the aggregated 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_alignment-handbook__zephyr-7b-dpo-qlora", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-01-26T21:27:47.387655](https://huggingface.co/datasets/open-llm-leaderboard/details_alignment-handbook__zephyr-7b-dpo-qlora/blob/main/results_2024-01-26T21-27-47.387655.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": 0.6369766338808557, "acc_stderr": 0.03238152491968989, "acc_norm": 0.641831921094304, "acc_norm_stderr": 0.033030780304730514, "mc1": 0.31701346389228885, "mc1_stderr": 0.016289203374403385, "mc2": 0.4714491532888518, "mc2_stderr": 0.014683410665396914 }, "harness\|arc:challenge\|25": { "acc": 0.6083617747440273, "acc_stderr": 0.014264122124938217, "acc_norm": 0.636518771331058, "acc_norm_stderr": 0.014056207319068285 }, "harness\|hellaswag\|10": { "acc": 0.658334993029277, "acc_stderr": 0.004732986187325878, "acc_norm": 0.8535152360087632, "acc_norm_stderr": 0.0035286889976580533 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.28, "acc_stderr": 0.04512608598542129, "acc_norm": 0.28, "acc_norm_stderr": 0.04512608598542129 }, "harness\|hendrycksTest-anatomy\|5": { "acc": 0.6074074074074074, "acc_stderr": 0.0421850621536888, "acc_norm": 0.6074074074074074, "acc_norm_stderr": 0.0421850621536888 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.6578947368421053, "acc_stderr": 0.03860731599316091, "acc_norm": 0.6578947368421053, "acc_norm_stderr": 0.03860731599316091 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.58, "acc_stderr": 0.049604496374885836, "acc_norm": 0.58, "acc_norm_stderr": 0.049604496374885836 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.7056603773584905, "acc_stderr": 0.02804918631569525, "acc_norm": 0.7056603773584905, "acc_norm_stderr": 0.02804918631569525 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.7291666666666666, "acc_stderr": 0.03716177437566017, "acc_norm": 0.7291666666666666, "acc_norm_stderr": 0.03716177437566017 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.5, "acc_stderr": 0.050251890762960605, "acc_norm": 0.5, "acc_norm_stderr": 0.050251890762960605 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.57, "acc_stderr": 0.049756985195624284, "acc_norm": 0.57, "acc_norm_stderr": 0.049756985195624284 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.29, "acc_stderr": 0.045604802157206845, "acc_norm": 0.29, "acc_norm_stderr": 0.045604802157206845 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.6647398843930635, "acc_stderr": 0.03599586301247077, "acc_norm": 0.6647398843930635, "acc_norm_stderr": 0.03599586301247077 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.4019607843137255, "acc_stderr": 0.048786087144669955, "acc_norm": 0.4019607843137255, "acc_norm_stderr": 0.048786087144669955 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.78, "acc_stderr": 0.04163331998932263, "acc_norm": 0.78, "acc_norm_stderr": 0.04163331998932263 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.5446808510638298, "acc_stderr": 0.03255525359340355, "acc_norm": 0.5446808510638298, "acc_norm_stderr": 0.03255525359340355 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.49122807017543857, "acc_stderr": 0.04702880432049615, "acc_norm": 0.49122807017543857, "acc_norm_stderr": 0.04702880432049615 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.5862068965517241, "acc_stderr": 0.04104269211806232, "acc_norm": 0.5862068965517241, "acc_norm_stderr": 0.04104269211806232 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.40476190476190477, "acc_stderr": 0.0252798503974049, "acc_norm": 0.40476190476190477, "acc_norm_stderr": 0.0252798503974049 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.42857142857142855, "acc_stderr": 0.04426266681379909, "acc_norm": 0.42857142857142855, "acc_norm_stderr": 0.04426266681379909 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.38, "acc_stderr": 0.04878317312145633, "acc_norm": 0.38, "acc_norm_stderr": 0.04878317312145633 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.7548387096774194, "acc_stderr": 0.024472243840895525, "acc_norm": 0.7548387096774194, "acc_norm_stderr": 0.024472243840895525 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.5221674876847291, "acc_stderr": 0.03514528562175008, "acc_norm": 0.5221674876847291, "acc_norm_stderr": 0.03514528562175008 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.65, "acc_stderr": 0.04793724854411019, "acc_norm": 0.65, "acc_norm_stderr": 0.04793724854411019 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.7515151515151515, "acc_stderr": 0.03374402644139403, "acc_norm": 0.7515151515151515, "acc_norm_stderr": 0.03374402644139403 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.7676767676767676, "acc_stderr": 0.030088629490217487, "acc_norm": 0.7676767676767676, "acc_norm_stderr": 0.030088629490217487 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.8756476683937824, "acc_stderr": 0.023814477086593542, "acc_norm": 0.8756476683937824, "acc_norm_stderr": 0.023814477086593542 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.6461538461538462, "acc_stderr": 0.024243783994062153, "acc_norm": 0.6461538461538462, "acc_norm_stderr": 0.024243783994062153 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.36666666666666664, "acc_stderr": 0.029381620726465076, "acc_norm": 0.36666666666666664, "acc_norm_stderr": 0.029381620726465076 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.6596638655462185, "acc_stderr": 0.030778057422931673, "acc_norm": 0.6596638655462185, "acc_norm_stderr": 0.030778057422931673 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.3443708609271523, "acc_stderr": 0.038796870240733264, "acc_norm": 0.3443708609271523, "acc_norm_stderr": 0.038796870240733264 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.818348623853211, "acc_stderr": 0.016530617409266878, "acc_norm": 0.818348623853211, "acc_norm_stderr": 0.016530617409266878 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.5416666666666666, "acc_stderr": 0.03398110890294636, "acc_norm": 0.5416666666666666, "acc_norm_stderr": 0.03398110890294636 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.7892156862745098, "acc_stderr": 0.028626547912437406, "acc_norm": 0.7892156862745098, "acc_norm_stderr": 0.028626547912437406 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.7637130801687764, "acc_stderr": 0.027652153144159263, "acc_norm": 0.7637130801687764, "acc_norm_stderr": 0.027652153144159263 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.6995515695067265, "acc_stderr": 0.03076935200822915, "acc_norm": 0.6995515695067265, "acc_norm_stderr": 0.03076935200822915 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.7786259541984732, "acc_stderr": 0.0364129708131373, "acc_norm": 0.7786259541984732, "acc_norm_stderr": 0.0364129708131373 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.7603305785123967, "acc_stderr": 0.03896878985070416, "acc_norm": 0.7603305785123967, "acc_norm_stderr": 0.03896878985070416 }, "harness\|hendrycksTest-jurisprudence\|5": { "acc": 0.7685185185185185, "acc_stderr": 0.04077494709252627, "acc_norm": 0.7685185185185185, "acc_norm_stderr": 0.04077494709252627 }, "harness\|hendrycksTest-logical_fallacies\|5": { "acc": 0.7607361963190185, "acc_stderr": 0.0335195387952127, "acc_norm": 0.7607361963190185, "acc_norm_stderr": 0.0335195387952127 }, "harness\|hendrycksTest-machine_learning\|5": { "acc": 0.5267857142857143, "acc_stderr": 0.047389751192741546, "acc_norm": 0.5267857142857143, "acc_norm_stderr": 0.047389751192741546 }, "harness\|hendrycksTest-management\|5": { "acc": 0.8155339805825242, "acc_stderr": 0.03840423627288276, "acc_norm": 0.8155339805825242, "acc_norm_stderr": 0.03840423627288276 }, "harness\|hendrycksTest-marketing\|5": { "acc": 0.8803418803418803, "acc_stderr": 0.021262719400406957, "acc_norm": 0.8803418803418803, "acc_norm_stderr": 0.021262719400406957 }, "harness\|hendrycksTest-medical_genetics\|5": { "acc": 0.73, "acc_stderr": 0.044619604333847394, "acc_norm": 0.73, "acc_norm_stderr": 0.044619604333847394 }, "harness\|hendrycksTest-miscellaneous\|5": { "acc": 0.8173690932311622, "acc_stderr": 0.013816335389973133, "acc_norm": 0.8173690932311622, "acc_norm_stderr": 0.013816335389973133 }, "harness\|hendrycksTest-moral_disputes\|5": { "acc": 0.7283236994219653, "acc_stderr": 0.02394851290546836, "acc_norm": 0.7283236994219653, "acc_norm_stderr": 0.02394851290546836 }, "harness\|hendrycksTest-moral_scenarios\|5": { "acc": 0.33743016759776534, "acc_stderr": 0.015813901283913048, "acc_norm": 0.33743016759776534, "acc_norm_stderr": 0.015813901283913048 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.7549019607843137, "acc_stderr": 0.02463004897982478, "acc_norm": 0.7549019607843137, "acc_norm_stderr": 0.02463004897982478 }, "harness\|hendrycksTest-philosophy\|5": { "acc": 0.6945337620578779, "acc_stderr": 0.02616058445014045, "acc_norm": 0.6945337620578779, "acc_norm_stderr": 0.02616058445014045 }, "harness\|hendrycksTest-prehistory\|5": { "acc": 0.7376543209876543, "acc_stderr": 0.024477222856135114, "acc_norm": 0.7376543209876543, "acc_norm_stderr": 0.024477222856135114 }, "harness\|hendrycksTest-professional_accounting\|5": { "acc": 0.4929078014184397, "acc_stderr": 0.02982449855912901, "acc_norm": 0.4929078014184397, "acc_norm_stderr": 0.02982449855912901 }, "harness\|hendrycksTest-professional_law\|5": { "acc": 0.45827900912646674, "acc_stderr": 0.012725701656953638, "acc_norm": 0.45827900912646674, "acc_norm_stderr": 0.012725701656953638 }, "harness\|hendrycksTest-professional_medicine\|5": { "acc": 0.6580882352941176, "acc_stderr": 0.028814722422254184, "acc_norm": 0.6580882352941176, "acc_norm_stderr": 0.028814722422254184 }, "harness\|hendrycksTest-professional_psychology\|5": { "acc": 0.6797385620915033, "acc_stderr": 0.018875682938069446, "acc_norm": 0.6797385620915033, "acc_norm_stderr": 0.018875682938069446 }, "harness\|hendrycksTest-public_relations\|5": { "acc": 0.6454545454545455, "acc_stderr": 0.045820048415054174, "acc_norm": 0.6454545454545455, "acc_norm_stderr": 0.045820048415054174 }, "harness\|hendrycksTest-security_studies\|5": { "acc": 0.7224489795918367, "acc_stderr": 0.02866685779027465, "acc_norm": 0.7224489795918367, "acc_norm_stderr": 0.02866685779027465 }, "harness\|hendrycksTest-sociology\|5": { "acc": 0.8159203980099502, "acc_stderr": 0.027403859410786855, "acc_norm": 0.8159203980099502, "acc_norm_stderr": 0.027403859410786855 }, "harness\|hendrycksTest-us_foreign_policy\|5": { "acc": 0.87, "acc_stderr": 0.033799766898963086, "acc_norm": 0.87, "acc_norm_stderr": 0.033799766898963086 }, "harness\|hendrycksTest-virology\|5": { "acc": 0.5602409638554217, "acc_stderr": 0.03864139923699122, "acc_norm": 0.5602409638554217, "acc_norm_stderr": 0.03864139923699122 }, "harness\|hendrycksTest-world_religions\|5": { "acc": 0.8304093567251462, "acc_stderr": 0.02878210810540171, "acc_norm": 0.8304093567251462, "acc_norm_stderr": 0.02878210810540171 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.31701346389228885, "mc1_stderr": 0.016289203374403385, "mc2": 0.4714491532888518, "mc2_stderr": 0.014683410665396914 }, "harness\|winogrande\|5": { "acc": 0.7900552486187845, "acc_stderr": 0.01144628062926263 }, "harness\|gsm8k\|5": { "acc": 0.42077331311599697, "acc_stderr": 0.013598489497182838 } } ``` ## 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]
EgilKarlsen/Spirit_RoBERTa_Baseline	--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* dataset_info: features: - name: '0' dtype: float32 - name: '1' dtype: float32 - name: '2' dtype: float32 - name: '3' dtype: float32 - name: '4' dtype: float32 - name: '5' dtype: float32 - name: '6' dtype: float32 - name: '7' dtype: float32 - name: '8' dtype: float32 - name: '9' dtype: float32 - name: '10' dtype: float32 - name: '11' dtype: float32 - name: '12' dtype: float32 - name: '13' dtype: float32 - name: '14' dtype: float32 - name: '15' dtype: float32 - name: '16' dtype: float32 - name: '17' dtype: float32 - name: '18' dtype: float32 - name: '19' dtype: float32 - name: '20' dtype: float32 - name: '21' dtype: float32 - name: '22' dtype: float32 - name: '23' dtype: float32 - name: '24' dtype: float32 - name: '25' dtype: float32 - name: '26' dtype: float32 - name: '27' dtype: float32 - name: '28' dtype: float32 - name: '29' dtype: float32 - name: '30' dtype: float32 - name: '31' dtype: float32 - name: '32' dtype: float32 - name: '33' dtype: float32 - name: '34' dtype: float32 - name: '35' dtype: float32 - name: '36' dtype: float32 - name: '37' dtype: float32 - name: '38' dtype: float32 - name: '39' dtype: float32 - name: '40' dtype: float32 - name: '41' dtype: float32 - name: '42' dtype: float32 - name: '43' dtype: float32 - name: '44' dtype: float32 - name: '45' dtype: float32 - name: '46' dtype: float32 - name: '47' dtype: float32 - name: '48' dtype: float32 - name: '49' dtype: float32 - name: '50' dtype: float32 - name: '51' dtype: float32 - name: '52' dtype: float32 - name: '53' dtype: float32 - name: '54' dtype: float32 - name: '55' dtype: float32 - name: '56' dtype: float32 - name: '57' dtype: float32 - name: '58' dtype: float32 - name: '59' dtype: float32 - name: '60' dtype: float32 - name: '61' dtype: float32 - name: '62' dtype: float32 - name: '63' dtype: float32 - name: '64' dtype: float32 - name: '65' dtype: float32 - name: '66' dtype: float32 - name: '67' dtype: float32 - name: '68' dtype: float32 - name: '69' dtype: float32 - name: '70' dtype: float32 - name: '71' dtype: float32 - name: '72' dtype: float32 - name: '73' dtype: float32 - name: '74' dtype: float32 - name: '75' dtype: float32 - name: '76' dtype: float32 - name: '77' dtype: float32 - name: '78' dtype: float32 - name: '79' dtype: float32 - name: '80' dtype: float32 - name: '81' dtype: float32 - name: '82' dtype: float32 - name: '83' dtype: float32 - name: '84' dtype: float32 - name: '85' dtype: float32 - name: '86' dtype: float32 - name: '87' dtype: float32 - name: '88' dtype: float32 - name: '89' dtype: float32 - name: '90' dtype: float32 - name: '91' dtype: float32 - name: '92' dtype: float32 - name: '93' dtype: float32 - name: '94' dtype: float32 - name: '95' dtype: float32 - name: '96' dtype: float32 - name: '97' dtype: float32 - name: '98' dtype: float32 - name: '99' dtype: float32 - name: '100' dtype: float32 - name: '101' dtype: float32 - name: '102' dtype: float32 - name: '103' dtype: float32 - name: '104' dtype: float32 - name: '105' dtype: float32 - name: '106' dtype: float32 - name: '107' dtype: float32 - name: '108' dtype: float32 - name: '109' dtype: float32 - name: '110' dtype: float32 - name: '111' dtype: float32 - name: '112' dtype: float32 - name: '113' dtype: float32 - name: '114' dtype: float32 - name: '115' dtype: float32 - name: '116' dtype: float32 - name: '117' dtype: float32 - name: '118' dtype: float32 - name: '119' dtype: float32 - name: '120' dtype: float32 - name: '121' dtype: float32 - name: '122' dtype: float32 - name: '123' dtype: float32 - name: '124' dtype: float32 - name: '125' dtype: float32 - name: '126' dtype: float32 - name: '127' dtype: float32 - name: '128' dtype: float32 - name: '129' dtype: float32 - name: '130' dtype: float32 - name: '131' dtype: float32 - name: '132' dtype: float32 - name: '133' dtype: float32 - name: '134' dtype: float32 - name: '135' dtype: float32 - name: '136' dtype: float32 - name: '137' dtype: float32 - name: '138' dtype: float32 - name: '139' dtype: float32 - name: '140' dtype: float32 - name: '141' dtype: float32 - name: '142' dtype: float32 - name: '143' dtype: float32 - name: '144' dtype: float32 - name: '145' dtype: float32 - name: '146' dtype: float32 - name: '147' dtype: float32 - name: '148' dtype: float32 - name: '149' dtype: float32 - name: '150' dtype: float32 - name: '151' dtype: float32 - name: '152' dtype: float32 - name: '153' dtype: float32 - name: '154' dtype: float32 - name: '155' dtype: float32 - name: '156' dtype: float32 - name: '157' dtype: float32 - name: '158' dtype: float32 - name: '159' dtype: float32 - name: '160' dtype: float32 - name: '161' dtype: float32 - name: '162' dtype: float32 - name: '163' dtype: float32 - name: '164' dtype: float32 - name: '165' dtype: float32 - name: '166' dtype: float32 - name: '167' dtype: float32 - name: '168' dtype: float32 - name: '169' dtype: float32 - name: '170' dtype: float32 - name: '171' dtype: float32 - name: '172' dtype: float32 - name: '173' dtype: float32 - name: '174' dtype: float32 - name: '175' dtype: float32 - name: '176' dtype: float32 - name: '177' dtype: float32 - name: '178' dtype: float32 - name: '179' dtype: float32 - name: '180' dtype: float32 - name: '181' dtype: float32 - name: '182' dtype: float32 - name: '183' dtype: float32 - name: '184' dtype: float32 - name: '185' dtype: float32 - name: '186' dtype: float32 - name: '187' dtype: float32 - name: '188' dtype: float32 - name: '189' dtype: float32 - name: '190' dtype: float32 - name: '191' dtype: float32 - name: '192' dtype: float32 - name: '193' dtype: float32 - name: '194' dtype: float32 - name: '195' dtype: float32 - name: '196' dtype: float32 - name: '197' dtype: float32 - name: '198' dtype: float32 - name: '199' dtype: float32 - name: '200' dtype: float32 - name: '201' dtype: float32 - name: '202' dtype: float32 - name: '203' dtype: float32 - name: '204' dtype: float32 - name: '205' dtype: float32 - name: '206' dtype: float32 - name: '207' dtype: float32 - name: '208' dtype: float32 - name: '209' dtype: float32 - name: '210' dtype: float32 - name: '211' dtype: float32 - name: '212' dtype: float32 - name: '213' dtype: float32 - name: '214' dtype: float32 - name: '215' dtype: float32 - name: '216' dtype: float32 - name: '217' dtype: float32 - name: '218' dtype: float32 - name: '219' dtype: float32 - name: '220' dtype: float32 - name: '221' dtype: float32 - name: '222' dtype: float32 - name: '223' dtype: float32 - name: '224' dtype: float32 - name: '225' dtype: float32 - name: '226' dtype: float32 - name: '227' dtype: float32 - name: '228' dtype: float32 - name: '229' dtype: float32 - name: '230' dtype: float32 - name: '231' dtype: float32 - name: '232' dtype: float32 - name: '233' dtype: float32 - name: '234' dtype: float32 - name: '235' dtype: float32 - name: '236' dtype: float32 - name: '237' dtype: float32 - name: '238' dtype: float32 - name: '239' dtype: float32 - name: '240' dtype: float32 - name: '241' dtype: float32 - name: '242' dtype: float32 - name: '243' dtype: float32 - name: '244' dtype: float32 - name: '245' dtype: float32 - name: '246' dtype: float32 - name: '247' dtype: float32 - name: '248' dtype: float32 - name: '249' dtype: float32 - name: '250' dtype: float32 - name: '251' dtype: float32 - name: '252' dtype: float32 - name: '253' dtype: float32 - name: '254' dtype: float32 - name: '255' dtype: float32 - name: '256' dtype: float32 - name: '257' dtype: float32 - name: '258' dtype: float32 - name: '259' dtype: float32 - name: '260' dtype: float32 - name: '261' dtype: float32 - name: '262' dtype: float32 - name: '263' dtype: float32 - name: '264' dtype: float32 - name: '265' dtype: float32 - name: '266' dtype: float32 - name: '267' dtype: float32 - name: '268' dtype: float32 - name: '269' dtype: float32 - name: '270' dtype: float32 - name: '271' dtype: float32 - name: '272' dtype: float32 - name: '273' dtype: float32 - name: '274' dtype: float32 - name: '275' dtype: float32 - name: '276' dtype: float32 - name: '277' dtype: float32 - name: '278' dtype: float32 - name: '279' dtype: float32 - name: '280' dtype: float32 - name: '281' dtype: float32 - name: '282' dtype: float32 - name: '283' dtype: float32 - name: '284' dtype: float32 - name: '285' dtype: float32 - name: '286' dtype: float32 - name: '287' dtype: float32 - name: '288' dtype: float32 - name: '289' dtype: float32 - name: '290' dtype: float32 - name: '291' dtype: float32 - name: '292' dtype: float32 - name: '293' dtype: float32 - name: '294' dtype: float32 - name: '295' dtype: float32 - name: '296' dtype: float32 - name: '297' dtype: float32 - name: '298' dtype: float32 - name: '299' dtype: float32 - name: '300' dtype: float32 - name: '301' dtype: float32 - name: '302' dtype: float32 - name: '303' dtype: float32 - name: '304' dtype: float32 - name: '305' dtype: float32 - name: '306' dtype: float32 - name: '307' dtype: float32 - name: '308' dtype: float32 - name: '309' dtype: float32 - name: '310' dtype: float32 - name: '311' dtype: float32 - name: '312' dtype: float32 - name: '313' dtype: float32 - name: '314' dtype: float32 - name: '315' dtype: float32 - name: '316' dtype: float32 - name: '317' dtype: float32 - name: '318' dtype: float32 - name: '319' dtype: float32 - name: '320' dtype: float32 - name: '321' dtype: float32 - name: '322' dtype: float32 - name: '323' dtype: float32 - name: '324' dtype: float32 - name: '325' dtype: float32 - name: '326' dtype: float32 - name: '327' dtype: float32 - name: '328' dtype: float32 - name: '329' dtype: float32 - name: '330' dtype: float32 - name: '331' dtype: float32 - name: '332' dtype: float32 - name: '333' dtype: float32 - name: '334' dtype: float32 - name: '335' dtype: float32 - name: '336' dtype: float32 - name: '337' dtype: float32 - name: '338' dtype: float32 - name: '339' dtype: float32 - name: '340' dtype: float32 - name: '341' dtype: float32 - name: '342' dtype: float32 - name: '343' dtype: float32 - name: '344' dtype: float32 - name: '345' dtype: float32 - name: '346' dtype: float32 - name: '347' dtype: float32 - name: '348' dtype: float32 - name: '349' dtype: float32 - name: '350' dtype: float32 - name: '351' dtype: float32 - name: '352' dtype: float32 - name: '353' dtype: float32 - name: '354' dtype: float32 - name: '355' dtype: float32 - name: '356' dtype: float32 - name: '357' dtype: float32 - name: '358' dtype: float32 - name: '359' dtype: float32 - name: '360' dtype: float32 - name: '361' dtype: float32 - name: '362' dtype: float32 - name: '363' dtype: float32 - name: '364' dtype: float32 - name: '365' dtype: float32 - name: '366' dtype: float32 - name: '367' dtype: float32 - name: '368' dtype: float32 - name: '369' dtype: float32 - name: '370' dtype: float32 - name: '371' dtype: float32 - name: '372' dtype: float32 - name: '373' dtype: float32 - name: '374' dtype: float32 - name: '375' dtype: float32 - name: '376' dtype: float32 - name: '377' dtype: float32 - name: '378' dtype: float32 - name: '379' dtype: float32 - name: '380' dtype: float32 - name: '381' dtype: float32 - name: '382' dtype: float32 - name: '383' dtype: float32 - name: '384' dtype: float32 - name: '385' dtype: float32 - name: '386' dtype: float32 - name: '387' dtype: float32 - name: '388' dtype: float32 - name: '389' dtype: float32 - name: '390' dtype: float32 - name: '391' dtype: float32 - name: '392' dtype: float32 - name: '393' dtype: float32 - name: '394' dtype: float32 - name: '395' dtype: float32 - name: '396' dtype: float32 - name: '397' dtype: float32 - name: '398' dtype: float32 - name: '399' dtype: float32 - name: '400' dtype: float32 - name: '401' dtype: float32 - name: '402' dtype: float32 - name: '403' dtype: float32 - name: '404' dtype: float32 - name: '405' dtype: float32 - name: '406' dtype: float32 - name: '407' dtype: float32 - name: '408' dtype: float32 - name: '409' dtype: float32 - name: '410' dtype: float32 - name: '411' dtype: float32 - name: '412' dtype: float32 - name: '413' dtype: float32 - name: '414' dtype: float32 - name: '415' dtype: float32 - name: '416' dtype: float32 - name: '417' dtype: float32 - name: '418' dtype: float32 - name: '419' dtype: float32 - name: '420' dtype: float32 - name: '421' dtype: float32 - name: '422' dtype: float32 - name: '423' dtype: float32 - name: '424' dtype: float32 - name: '425' dtype: float32 - name: '426' dtype: float32 - name: '427' dtype: float32 - name: '428' dtype: float32 - name: '429' dtype: float32 - name: '430' dtype: float32 - name: '431' dtype: float32 - name: '432' dtype: float32 - name: '433' dtype: float32 - name: '434' dtype: float32 - name: '435' dtype: float32 - name: '436' dtype: float32 - name: '437' dtype: float32 - name: '438' dtype: float32 - name: '439' dtype: float32 - name: '440' dtype: float32 - name: '441' dtype: float32 - name: '442' dtype: float32 - name: '443' dtype: float32 - name: '444' dtype: float32 - name: '445' dtype: float32 - name: '446' dtype: float32 - name: '447' dtype: float32 - name: '448' dtype: float32 - name: '449' dtype: float32 - name: '450' dtype: float32 - name: '451' dtype: float32 - name: '452' dtype: float32 - name: '453' dtype: float32 - name: '454' dtype: float32 - name: '455' dtype: float32 - name: '456' dtype: float32 - name: '457' dtype: float32 - name: '458' dtype: float32 - name: '459' dtype: float32 - name: '460' dtype: float32 - name: '461' dtype: float32 - name: '462' dtype: float32 - name: '463' dtype: float32 - name: '464' dtype: float32 - name: '465' dtype: float32 - name: '466' dtype: float32 - name: '467' dtype: float32 - name: '468' dtype: float32 - name: '469' dtype: float32 - name: '470' dtype: float32 - name: '471' dtype: float32 - name: '472' dtype: float32 - name: '473' dtype: float32 - name: '474' dtype: float32 - name: '475' dtype: float32 - name: '476' dtype: float32 - name: '477' dtype: float32 - name: '478' dtype: float32 - name: '479' dtype: float32 - name: '480' dtype: float32 - name: '481' dtype: float32 - name: '482' dtype: float32 - name: '483' dtype: float32 - name: '484' dtype: float32 - name: '485' dtype: float32 - name: '486' dtype: float32 - name: '487' dtype: float32 - name: '488' dtype: float32 - name: '489' dtype: float32 - name: '490' dtype: float32 - name: '491' dtype: float32 - name: '492' dtype: float32 - name: '493' dtype: float32 - name: '494' dtype: float32 - name: '495' dtype: float32 - name: '496' dtype: float32 - name: '497' dtype: float32 - name: '498' dtype: float32 - name: '499' dtype: float32 - name: '500' dtype: float32 - name: '501' dtype: float32 - name: '502' dtype: float32 - name: '503' dtype: float32 - name: '504' dtype: float32 - name: '505' dtype: float32 - name: '506' dtype: float32 - name: '507' dtype: float32 - name: '508' dtype: float32 - name: '509' dtype: float32 - name: '510' dtype: float32 - name: '511' dtype: float32 - name: '512' dtype: float32 - name: '513' dtype: float32 - name: '514' dtype: float32 - name: '515' dtype: float32 - name: '516' dtype: float32 - name: '517' dtype: float32 - name: '518' dtype: float32 - name: '519' dtype: float32 - name: '520' dtype: float32 - name: '521' dtype: float32 - name: '522' dtype: float32 - name: '523' dtype: float32 - name: '524' dtype: float32 - name: '525' dtype: float32 - name: '526' dtype: float32 - name: '527' dtype: float32 - name: '528' dtype: float32 - name: '529' dtype: float32 - name: '530' dtype: float32 - name: '531' dtype: float32 - name: '532' dtype: float32 - name: '533' dtype: float32 - name: '534' dtype: float32 - name: '535' dtype: float32 - name: '536' dtype: float32 - name: '537' dtype: float32 - name: '538' dtype: float32 - name: '539' dtype: float32 - name: '540' dtype: float32 - name: '541' dtype: float32 - name: '542' dtype: float32 - name: '543' dtype: float32 - name: '544' dtype: float32 - name: '545' dtype: float32 - name: '546' dtype: float32 - name: '547' dtype: float32 - name: '548' dtype: float32 - name: '549' dtype: float32 - name: '550' dtype: float32 - name: '551' dtype: float32 - name: '552' dtype: float32 - name: '553' dtype: float32 - name: '554' dtype: float32 - name: '555' dtype: float32 - name: '556' dtype: float32 - name: '557' dtype: float32 - name: '558' dtype: float32 - name: '559' dtype: float32 - name: '560' dtype: float32 - name: '561' dtype: float32 - name: '562' dtype: float32 - name: '563' dtype: float32 - name: '564' dtype: float32 - name: '565' dtype: float32 - name: '566' dtype: float32 - name: '567' dtype: float32 - name: '568' dtype: float32 - name: '569' dtype: float32 - name: '570' dtype: float32 - name: '571' dtype: float32 - name: '572' dtype: float32 - name: '573' dtype: float32 - name: '574' dtype: float32 - name: '575' dtype: float32 - name: '576' dtype: float32 - name: '577' dtype: float32 - name: '578' dtype: float32 - name: '579' dtype: float32 - name: '580' dtype: float32 - name: '581' dtype: float32 - name: '582' dtype: float32 - name: '583' dtype: float32 - name: '584' dtype: float32 - name: '585' dtype: float32 - name: '586' dtype: float32 - name: '587' dtype: float32 - name: '588' dtype: float32 - name: '589' dtype: float32 - name: '590' dtype: float32 - name: '591' dtype: float32 - name: '592' dtype: float32 - name: '593' dtype: float32 - name: '594' dtype: float32 - name: '595' dtype: float32 - name: '596' dtype: float32 - name: '597' dtype: float32 - name: '598' dtype: float32 - name: '599' dtype: float32 - name: '600' dtype: float32 - name: '601' dtype: float32 - name: '602' dtype: float32 - name: '603' dtype: float32 - name: '604' dtype: float32 - name: '605' dtype: float32 - name: '606' dtype: float32 - name: '607' dtype: float32 - name: '608' dtype: float32 - name: '609' dtype: float32 - name: '610' dtype: float32 - name: '611' dtype: float32 - name: '612' dtype: float32 - name: '613' dtype: float32 - name: '614' dtype: float32 - name: '615' dtype: float32 - name: '616' dtype: float32 - name: '617' dtype: float32 - name: '618' dtype: float32 - name: '619' dtype: float32 - name: '620' dtype: float32 - name: '621' dtype: float32 - name: '622' dtype: float32 - name: '623' dtype: float32 - name: '624' dtype: float32 - name: '625' dtype: float32 - name: '626' dtype: float32 - name: '627' dtype: float32 - name: '628' dtype: float32 - name: '629' dtype: float32 - name: '630' dtype: float32 - name: '631' dtype: float32 - name: '632' dtype: float32 - name: '633' dtype: float32 - name: '634' dtype: float32 - name: '635' dtype: float32 - name: '636' dtype: float32 - name: '637' dtype: float32 - name: '638' dtype: float32 - name: '639' dtype: float32 - name: '640' dtype: float32 - name: '641' dtype: float32 - name: '642' dtype: float32 - name: '643' dtype: float32 - name: '644' dtype: float32 - name: '645' dtype: float32 - name: '646' dtype: float32 - name: '647' dtype: float32 - name: '648' dtype: float32 - name: '649' dtype: float32 - name: '650' dtype: float32 - name: '651' dtype: float32 - name: '652' dtype: float32 - name: '653' dtype: float32 - name: '654' dtype: float32 - name: '655' dtype: float32 - name: '656' dtype: float32 - name: '657' dtype: float32 - name: '658' dtype: float32 - name: '659' dtype: float32 - name: '660' dtype: float32 - name: '661' dtype: float32 - name: '662' dtype: float32 - name: '663' dtype: float32 - name: '664' dtype: float32 - name: '665' dtype: float32 - name: '666' dtype: float32 - name: '667' dtype: float32 - name: '668' dtype: float32 - name: '669' dtype: float32 - name: '670' dtype: float32 - name: '671' dtype: float32 - name: '672' dtype: float32 - name: '673' dtype: float32 - name: '674' dtype: float32 - name: '675' dtype: float32 - name: '676' dtype: float32 - name: '677' dtype: float32 - name: '678' dtype: float32 - name: '679' dtype: float32 - name: '680' dtype: float32 - name: '681' dtype: float32 - name: '682' dtype: float32 - name: '683' dtype: float32 - name: '684' dtype: float32 - name: '685' dtype: float32 - name: '686' dtype: float32 - name: '687' dtype: float32 - name: '688' dtype: float32 - name: '689' dtype: float32 - name: '690' dtype: float32 - name: '691' dtype: float32 - name: '692' dtype: float32 - name: '693' dtype: float32 - name: '694' dtype: float32 - name: '695' dtype: float32 - name: '696' dtype: float32 - name: '697' dtype: float32 - name: '698' dtype: float32 - name: '699' dtype: float32 - name: '700' dtype: float32 - name: '701' dtype: float32 - name: '702' dtype: float32 - name: '703' dtype: float32 - name: '704' dtype: float32 - name: '705' dtype: float32 - name: '706' dtype: float32 - name: '707' dtype: float32 - name: '708' dtype: float32 - name: '709' dtype: float32 - name: '710' dtype: float32 - name: '711' dtype: float32 - name: '712' dtype: float32 - name: '713' dtype: float32 - name: '714' dtype: float32 - name: '715' dtype: float32 - name: '716' dtype: float32 - name: '717' dtype: float32 - name: '718' dtype: float32 - name: '719' dtype: float32 - name: '720' dtype: float32 - name: '721' dtype: float32 - name: '722' dtype: float32 - name: '723' dtype: float32 - name: '724' dtype: float32 - name: '725' dtype: float32 - name: '726' dtype: float32 - name: '727' dtype: float32 - name: '728' dtype: float32 - name: '729' dtype: float32 - name: '730' dtype: float32 - name: '731' dtype: float32 - name: '732' dtype: float32 - name: '733' dtype: float32 - name: '734' dtype: float32 - name: '735' dtype: float32 - name: '736' dtype: float32 - name: '737' dtype: float32 - name: '738' dtype: float32 - name: '739' dtype: float32 - name: '740' dtype: float32 - name: '741' dtype: float32 - name: '742' dtype: float32 - name: '743' dtype: float32 - name: '744' dtype: float32 - name: '745' dtype: float32 - name: '746' dtype: float32 - name: '747' dtype: float32 - name: '748' dtype: float32 - name: '749' dtype: float32 - name: '750' dtype: float32 - name: '751' dtype: float32 - name: '752' dtype: float32 - name: '753' dtype: float32 - name: '754' dtype: float32 - name: '755' dtype: float32 - name: '756' dtype: float32 - name: '757' dtype: float32 - name: '758' dtype: float32 - name: '759' dtype: float32 - name: '760' dtype: float32 - name: '761' dtype: float32 - name: '762' dtype: float32 - name: '763' dtype: float32 - name: '764' dtype: float32 - name: '765' dtype: float32 - name: '766' dtype: float32 - name: '767' dtype: float32 - name: label dtype: string splits: - name: train num_bytes: 115650065.625 num_examples: 37500 - name: test num_bytes: 38550020.0 num_examples: 12500 download_size: 211789418 dataset_size: 154200085.625 --- # Dataset Card for "Spirit_RoBERTa_Baseline" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
zhangyue/test.one	--- dataset_info: features: - name: id dtype: string - name: package_name dtype: string - name: review dtype: string - name: date dtype: string - name: star dtype: int64 - name: version_id dtype: int64 splits: - name: train num_bytes: 1508 num_examples: 5 - name: test num_bytes: 956 num_examples: 5 download_size: 9453 dataset_size: 2464 --- # Dataset Card for "test.one" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

ChayanM/mimic-llama2-150k

--- dataset_info: features: - name: 'FINDINGS:' dtype: string splits: - name: train num_bytes: 59974646 num_examples: 149756 download_size: 20364864 dataset_size: 59974646 configs: - config_name: default data_files: - split: train path: data/train-* ---

heangborin/roofGoogleSatelliteKh

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

mespinosami/map2sat10-samples

--- dataset_info: features: - name: input_image dtype: image - name: edit_prompt dtype: string - name: edited_image dtype: image splits: - name: train num_bytes: 102633.0 num_examples: 10 download_size: 104891 dataset_size: 102633.0 --- # Dataset Card for "map2sat10-samples" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

ibm/tab_fact

--- license: cc-by-4.0 task_categories: - text-classification --- - **Homepage:** [TabFact](https://tabfact.github.io/index.html) - **Repository:** [GitHub](https://github.com/wenhuchen/Table-Fact-Checking) - **Paper:** [TabFact: A Large-scale Dataset for Table-based Fact Verification](https://arxiv.org/abs/1909.02164) ### Dataset Summary tab_fact is a large-scale dataset for the task of fact-checking on tables. Original dataset is available @ https://huggingface.co/datasets/tab_fact and this is a slightly modified version of the dataset wherein the tabular data is processed into a specific format for ease of use. ### Citation Information ``` @inproceedings{2019TabFactA, title={TabFact : A Large-scale Dataset for Table-based Fact Verification}, author={Wenhu Chen, Hongmin Wang, Jianshu Chen, Yunkai Zhang, Hong Wang, Shiyang Li, Xiyou Zhou and William Yang Wang}, booktitle = {International Conference on Learning Representations (ICLR)}, address = {Addis Ababa, Ethiopia}, month = {April}, year = {2020} } ```

banned-historical-archives/banned-historical-archives

--- size_categories: - n>1T --- # 和谐历史档案馆数据集 - Banned Historical Archives Datasets 本仓库存放已录入 banned-historical-archives.github.io 的和未录入的原始文件，其中archves*为已录入的文件，不定期从github同步；todo目录存放未录入的文件；人民日报和文汇报已精选重要的文稿录入网站，完整的原始文件存放在： https://huggingface.co/datasets/banned-historical-archives/rmrb https://huggingface.co/datasets/banned-historical-archives/wenhuibao https://huggingface.co/datasets/banned-historical-archives/wenhuibao_disk ## 其他 * 原始文件大小超过600GB，因为使用了git LFS，需要占用两倍的存储空间，克隆仓库时请确保磁盘剩余空间大于1.2TB； * 克隆仓库时建议使用git clone --depth 1参数，否则将下载所有commit历史记录，影响下载速度 * todo文件夹中，应及时删除已录入的文稿，避免重复录入 * 使用命令清理当前commit未追踪的大文件: git lfs prune && git gc

Pastinacalda/SUIM

--- license: unknown ---

fia24/dataverse_dataset

--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* dataset_info: features: - name: id dtype: string - name: translation struct: - name: en dtype: string - name: fr dtype: string splits: - name: train num_bytes: 6289213 num_examples: 19799 - name: test num_bytes: 696310 num_examples: 2200 download_size: 3524483 dataset_size: 6985523 --- # Dataset Card for "dataverse_dataset" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

semihGuner2002/PhishingURLsDataset

--- license: apache-2.0 dataset_info: features: - name: url dtype: string - name: label dtype: class_label: names: '0': '0.0' '1': '1.0' - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 38536329.817049906 num_examples: 642533 - name: test num_bytes: 6800578.1829500925 num_examples: 113389 download_size: 32729166 dataset_size: 45336908.0 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* --- # PhishingURLDataset This dataset is created for being used for neural network training, on phishing website detection. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1). ## Dataset Details This dataset contains phishing websites, which are labeled with "1" and are called "malignant", and benign websites, which are labeled with "0". ### Dataset Sources - **Kaggle Dataset on Phishing URLs:** https://www.kaggle.com/datasets/siddharthkumar25/malicious-and-benign-urls - **USOM Phishing Websites Dataset:** https://www.usom.gov.tr/url-list.txt - **Phishtank Dataset:** http://data.phishtank.com/data/online-valid.csv

Thanmay/arc-easy-hi

--- dataset_info: features: - name: id dtype: string - name: answerKey dtype: string - name: itv2 hi dtype: string - name: question dtype: string - name: choices struct: - name: label sequence: string - name: text sequence: string splits: - name: test num_bytes: 2706380 num_examples: 2376 - name: validation num_bytes: 648811 num_examples: 570 download_size: 1235614 dataset_size: 3355191 configs: - config_name: default data_files: - split: test path: data/test-* - split: validation path: data/validation-* ---

open-llm-leaderboard/details_KeyonZeng__lion-gemma-2b

--- pretty_name: Evaluation run of KeyonZeng/lion-gemma-2b dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [KeyonZeng/lion-gemma-2b](https://huggingface.co/KeyonZeng/lion-gemma-2b) on the\ \ [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 63 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 (and is used to compute and display the aggregated 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_KeyonZeng__lion-gemma-2b\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-03-27T19:39:48.412016](https://huggingface.co/datasets/open-llm-leaderboard/details_KeyonZeng__lion-gemma-2b/blob/main/results_2024-03-27T19-39-48.412016.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\": 0.5668938174135245,\n\ \ \"acc_stderr\": 0.033920558669041014,\n \"acc_norm\": 0.5732411787021572,\n\ \ \"acc_norm_stderr\": 0.034638970392460354,\n \"mc1\": 0.3108935128518972,\n\ \ \"mc1_stderr\": 0.016203316673559693,\n \"mc2\": 0.4792261052445388,\n\ \ \"mc2_stderr\": 0.015314648048905671\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.4803754266211604,\n \"acc_stderr\": 0.01460013207594709,\n\ \ \"acc_norm\": 0.5110921501706485,\n \"acc_norm_stderr\": 0.01460779491401305\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.5536745668193587,\n\ \ \"acc_stderr\": 0.004960947388535103,\n \"acc_norm\": 0.7347142003584943,\n\ \ \"acc_norm_stderr\": 0.00440582999325873\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ : {\n \"acc\": 0.33,\n \"acc_stderr\": 0.04725815626252606,\n \ \ \"acc_norm\": 0.33,\n \"acc_norm_stderr\": 0.04725815626252606\n \ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.5185185185185185,\n\ \ \"acc_stderr\": 0.043163785995113245,\n \"acc_norm\": 0.5185185185185185,\n\ \ \"acc_norm_stderr\": 0.043163785995113245\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.6118421052631579,\n \"acc_stderr\": 0.03965842097512744,\n\ \ \"acc_norm\": 0.6118421052631579,\n \"acc_norm_stderr\": 0.03965842097512744\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.59,\n\ \ \"acc_stderr\": 0.04943110704237102,\n \"acc_norm\": 0.59,\n \ \ \"acc_norm_stderr\": 0.04943110704237102\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.6113207547169811,\n \"acc_stderr\": 0.030000485448675986,\n\ \ \"acc_norm\": 0.6113207547169811,\n \"acc_norm_stderr\": 0.030000485448675986\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.6458333333333334,\n\ \ \"acc_stderr\": 0.039994111357535424,\n \"acc_norm\": 0.6458333333333334,\n\ \ \"acc_norm_stderr\": 0.039994111357535424\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.44,\n \"acc_stderr\": 0.04988876515698589,\n \ \ \"acc_norm\": 0.44,\n \"acc_norm_stderr\": 0.04988876515698589\n \ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\ : 0.48,\n \"acc_stderr\": 0.050211673156867795,\n \"acc_norm\": 0.48,\n\ \ \"acc_norm_stderr\": 0.050211673156867795\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ : {\n \"acc\": 0.35,\n \"acc_stderr\": 0.0479372485441102,\n \ \ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.0479372485441102\n },\n\ \ \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.5317919075144508,\n\ \ \"acc_stderr\": 0.03804749744364764,\n \"acc_norm\": 0.5317919075144508,\n\ \ \"acc_norm_stderr\": 0.03804749744364764\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.3333333333333333,\n \"acc_stderr\": 0.04690650298201943,\n\ \ \"acc_norm\": 0.3333333333333333,\n \"acc_norm_stderr\": 0.04690650298201943\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.71,\n \"acc_stderr\": 0.04560480215720685,\n \"acc_norm\": 0.71,\n\ \ \"acc_norm_stderr\": 0.04560480215720685\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.4851063829787234,\n \"acc_stderr\": 0.032671518489247764,\n\ \ \"acc_norm\": 0.4851063829787234,\n \"acc_norm_stderr\": 0.032671518489247764\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.35964912280701755,\n\ \ \"acc_stderr\": 0.045144961328736334,\n \"acc_norm\": 0.35964912280701755,\n\ \ \"acc_norm_stderr\": 0.045144961328736334\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.6,\n \"acc_stderr\": 0.04082482904638629,\n \ \ \"acc_norm\": 0.6,\n \"acc_norm_stderr\": 0.04082482904638629\n },\n\ \ \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\": 0.4021164021164021,\n\ \ \"acc_stderr\": 0.02525303255499769,\n \"acc_norm\": 0.4021164021164021,\n\ \ \"acc_norm_stderr\": 0.02525303255499769\n },\n \"harness|hendrycksTest-formal_logic|5\"\ : {\n \"acc\": 0.31746031746031744,\n \"acc_stderr\": 0.04163453031302859,\n\ \ \"acc_norm\": 0.31746031746031744,\n \"acc_norm_stderr\": 0.04163453031302859\n\ \ },\n \"harness|hendrycksTest-global_facts|5\": {\n \"acc\": 0.33,\n\ \ \"acc_stderr\": 0.04725815626252605,\n \"acc_norm\": 0.33,\n \ \ \"acc_norm_stderr\": 0.04725815626252605\n },\n \"harness|hendrycksTest-high_school_biology|5\"\ : {\n \"acc\": 0.6935483870967742,\n \"acc_stderr\": 0.02622648565255388,\n\ \ \"acc_norm\": 0.6935483870967742,\n \"acc_norm_stderr\": 0.02622648565255388\n\ \ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\ : 0.4876847290640394,\n \"acc_stderr\": 0.035169204442208966,\n \"\ acc_norm\": 0.4876847290640394,\n \"acc_norm_stderr\": 0.035169204442208966\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.57,\n \"acc_stderr\": 0.04975698519562428,\n \"acc_norm\"\ : 0.57,\n \"acc_norm_stderr\": 0.04975698519562428\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.6363636363636364,\n \"acc_stderr\": 0.03756335775187897,\n\ \ \"acc_norm\": 0.6363636363636364,\n \"acc_norm_stderr\": 0.03756335775187897\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.7676767676767676,\n \"acc_stderr\": 0.030088629490217487,\n \"\ acc_norm\": 0.7676767676767676,\n \"acc_norm_stderr\": 0.030088629490217487\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.7564766839378239,\n \"acc_stderr\": 0.030975436386845436,\n\ \ \"acc_norm\": 0.7564766839378239,\n \"acc_norm_stderr\": 0.030975436386845436\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.5743589743589743,\n \"acc_stderr\": 0.025069094387296532,\n\ \ \"acc_norm\": 0.5743589743589743,\n \"acc_norm_stderr\": 0.025069094387296532\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.35555555555555557,\n \"acc_stderr\": 0.0291857149498574,\n \ \ \"acc_norm\": 0.35555555555555557,\n \"acc_norm_stderr\": 0.0291857149498574\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.5966386554621849,\n \"acc_stderr\": 0.031866081214088314,\n\ \ \"acc_norm\": 0.5966386554621849,\n \"acc_norm_stderr\": 0.031866081214088314\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.4304635761589404,\n \"acc_stderr\": 0.04042809961395634,\n \"\ acc_norm\": 0.4304635761589404,\n \"acc_norm_stderr\": 0.04042809961395634\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.7761467889908257,\n \"acc_stderr\": 0.017871217767790215,\n \"\ acc_norm\": 0.7761467889908257,\n \"acc_norm_stderr\": 0.017871217767790215\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.4675925925925926,\n \"acc_stderr\": 0.03402801581358966,\n \"\ acc_norm\": 0.4675925925925926,\n \"acc_norm_stderr\": 0.03402801581358966\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.7156862745098039,\n \"acc_stderr\": 0.03166009679399811,\n \"\ acc_norm\": 0.7156862745098039,\n \"acc_norm_stderr\": 0.03166009679399811\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.7341772151898734,\n \"acc_stderr\": 0.028756799629658342,\n \ \ \"acc_norm\": 0.7341772151898734,\n \"acc_norm_stderr\": 0.028756799629658342\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6367713004484304,\n\ \ \"acc_stderr\": 0.03227790442850499,\n \"acc_norm\": 0.6367713004484304,\n\ \ \"acc_norm_stderr\": 0.03227790442850499\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.6183206106870229,\n \"acc_stderr\": 0.042607351576445594,\n\ \ \"acc_norm\": 0.6183206106870229,\n \"acc_norm_stderr\": 0.042607351576445594\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.7355371900826446,\n \"acc_stderr\": 0.040261875275912073,\n \"\ acc_norm\": 0.7355371900826446,\n \"acc_norm_stderr\": 0.040261875275912073\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.6851851851851852,\n\ \ \"acc_stderr\": 0.04489931073591312,\n \"acc_norm\": 0.6851851851851852,\n\ \ \"acc_norm_stderr\": 0.04489931073591312\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.6257668711656442,\n \"acc_stderr\": 0.03802068102899616,\n\ \ \"acc_norm\": 0.6257668711656442,\n \"acc_norm_stderr\": 0.03802068102899616\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.4107142857142857,\n\ \ \"acc_stderr\": 0.04669510663875191,\n \"acc_norm\": 0.4107142857142857,\n\ \ \"acc_norm_stderr\": 0.04669510663875191\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.7087378640776699,\n \"acc_stderr\": 0.04498676320572922,\n\ \ \"acc_norm\": 0.7087378640776699,\n \"acc_norm_stderr\": 0.04498676320572922\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8205128205128205,\n\ \ \"acc_stderr\": 0.025140935950335452,\n \"acc_norm\": 0.8205128205128205,\n\ \ \"acc_norm_stderr\": 0.025140935950335452\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.65,\n \"acc_stderr\": 0.0479372485441102,\n \ \ \"acc_norm\": 0.65,\n \"acc_norm_stderr\": 0.0479372485441102\n },\n\ \ \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.7369093231162197,\n\ \ \"acc_stderr\": 0.015745497169049053,\n \"acc_norm\": 0.7369093231162197,\n\ \ \"acc_norm_stderr\": 0.015745497169049053\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.6127167630057804,\n \"acc_stderr\": 0.026226158605124658,\n\ \ \"acc_norm\": 0.6127167630057804,\n \"acc_norm_stderr\": 0.026226158605124658\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.3139664804469274,\n\ \ \"acc_stderr\": 0.01552192393352364,\n \"acc_norm\": 0.3139664804469274,\n\ \ \"acc_norm_stderr\": 0.01552192393352364\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.6535947712418301,\n \"acc_stderr\": 0.027245613047215365,\n\ \ \"acc_norm\": 0.6535947712418301,\n \"acc_norm_stderr\": 0.027245613047215365\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.6366559485530546,\n\ \ \"acc_stderr\": 0.027316847674192707,\n \"acc_norm\": 0.6366559485530546,\n\ \ \"acc_norm_stderr\": 0.027316847674192707\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.5987654320987654,\n \"acc_stderr\": 0.027272582849839796,\n\ \ \"acc_norm\": 0.5987654320987654,\n \"acc_norm_stderr\": 0.027272582849839796\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.4148936170212766,\n \"acc_stderr\": 0.029392236584612503,\n \ \ \"acc_norm\": 0.4148936170212766,\n \"acc_norm_stderr\": 0.029392236584612503\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.394393741851369,\n\ \ \"acc_stderr\": 0.01248214166563119,\n \"acc_norm\": 0.394393741851369,\n\ \ \"acc_norm_stderr\": 0.01248214166563119\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.5404411764705882,\n \"acc_stderr\": 0.03027332507734576,\n\ \ \"acc_norm\": 0.5404411764705882,\n \"acc_norm_stderr\": 0.03027332507734576\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.5326797385620915,\n \"acc_stderr\": 0.0201845833591022,\n \ \ \"acc_norm\": 0.5326797385620915,\n \"acc_norm_stderr\": 0.0201845833591022\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6545454545454545,\n\ \ \"acc_stderr\": 0.04554619617541054,\n \"acc_norm\": 0.6545454545454545,\n\ \ \"acc_norm_stderr\": 0.04554619617541054\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.689795918367347,\n \"acc_stderr\": 0.029613459872484378,\n\ \ \"acc_norm\": 0.689795918367347,\n \"acc_norm_stderr\": 0.029613459872484378\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.7761194029850746,\n\ \ \"acc_stderr\": 0.029475250236017193,\n \"acc_norm\": 0.7761194029850746,\n\ \ \"acc_norm_stderr\": 0.029475250236017193\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.76,\n \"acc_stderr\": 0.042923469599092816,\n \ \ \"acc_norm\": 0.76,\n \"acc_norm_stderr\": 0.042923469599092816\n \ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.4397590361445783,\n\ \ \"acc_stderr\": 0.03864139923699121,\n \"acc_norm\": 0.4397590361445783,\n\ \ \"acc_norm_stderr\": 0.03864139923699121\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.7192982456140351,\n \"acc_stderr\": 0.034462962170884265,\n\ \ \"acc_norm\": 0.7192982456140351,\n \"acc_norm_stderr\": 0.034462962170884265\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.3108935128518972,\n\ \ \"mc1_stderr\": 0.016203316673559693,\n \"mc2\": 0.4792261052445388,\n\ \ \"mc2_stderr\": 0.015314648048905671\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.7079715864246251,\n \"acc_stderr\": 0.012779198491754027\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.2630780894617134,\n \ \ \"acc_stderr\": 0.012128172607375925\n }\n}\n```" repo_url: https://huggingface.co/KeyonZeng/lion-gemma-2b 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: 2024_03_27T19_39_48.412016 path: - '**/details_harness|arc:challenge|25_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2024-03-27T19-39-48.412016.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '**/details_harness|gsm8k|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_03_27T19_39_48.412016 path: - '**/details_harness|hellaswag|10_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-management|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-management|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-03-27T19-39-48.412016.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '**/details_harness|hendrycksTest-anatomy|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '**/details_harness|hendrycksTest-astronomy|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '**/details_harness|hendrycksTest-college_biology|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '**/details_harness|hendrycksTest-college_physics|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '**/details_harness|hendrycksTest-computer_security|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '**/details_harness|hendrycksTest-econometrics|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '**/details_harness|hendrycksTest-global_facts|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '**/details_harness|hendrycksTest-human_aging|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '**/details_harness|hendrycksTest-international_law|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '**/details_harness|hendrycksTest-management|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '**/details_harness|hendrycksTest-marketing|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '**/details_harness|hendrycksTest-nutrition|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '**/details_harness|hendrycksTest-philosophy|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '**/details_harness|hendrycksTest-prehistory|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '**/details_harness|hendrycksTest-professional_law|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '**/details_harness|hendrycksTest-public_relations|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '**/details_harness|hendrycksTest-security_studies|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '**/details_harness|hendrycksTest-sociology|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '**/details_harness|hendrycksTest-virology|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '**/details_harness|hendrycksTest-world_religions|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2024-03-27T19-39-48.412016.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_03_27T19_39_48.412016 path: - '**/details_harness|truthfulqa:mc|0_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2024-03-27T19-39-48.412016.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_03_27T19_39_48.412016 path: - '**/details_harness|winogrande|5_2024-03-27T19-39-48.412016.parquet' - split: latest path: - '**/details_harness|winogrande|5_2024-03-27T19-39-48.412016.parquet' - config_name: results data_files: - split: 2024_03_27T19_39_48.412016 path: - results_2024-03-27T19-39-48.412016.parquet - split: latest path: - results_2024-03-27T19-39-48.412016.parquet --- # Dataset Card for Evaluation run of KeyonZeng/lion-gemma-2b  Dataset automatically created during the evaluation run of model [KeyonZeng/lion-gemma-2b](https://huggingface.co/KeyonZeng/lion-gemma-2b) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 63 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 (and is used to compute and display the aggregated 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_KeyonZeng__lion-gemma-2b", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-03-27T19:39:48.412016](https://huggingface.co/datasets/open-llm-leaderboard/details_KeyonZeng__lion-gemma-2b/blob/main/results_2024-03-27T19-39-48.412016.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": 0.5668938174135245, "acc_stderr": 0.033920558669041014, "acc_norm": 0.5732411787021572, "acc_norm_stderr": 0.034638970392460354, "mc1": 0.3108935128518972, "mc1_stderr": 0.016203316673559693, "mc2": 0.4792261052445388, "mc2_stderr": 0.015314648048905671 }, "harness|arc:challenge|25": { "acc": 0.4803754266211604, "acc_stderr": 0.01460013207594709, "acc_norm": 0.5110921501706485, "acc_norm_stderr": 0.01460779491401305 }, "harness|hellaswag|10": { "acc": 0.5536745668193587, "acc_stderr": 0.004960947388535103, "acc_norm": 0.7347142003584943, "acc_norm_stderr": 0.00440582999325873 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.33, "acc_stderr": 0.04725815626252606, "acc_norm": 0.33, "acc_norm_stderr": 0.04725815626252606 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.5185185185185185, "acc_stderr": 0.043163785995113245, "acc_norm": 0.5185185185185185, "acc_norm_stderr": 0.043163785995113245 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.6118421052631579, "acc_stderr": 0.03965842097512744, "acc_norm": 0.6118421052631579, "acc_norm_stderr": 0.03965842097512744 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.59, "acc_stderr": 0.04943110704237102, "acc_norm": 0.59, "acc_norm_stderr": 0.04943110704237102 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.6113207547169811, "acc_stderr": 0.030000485448675986, "acc_norm": 0.6113207547169811, "acc_norm_stderr": 0.030000485448675986 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.6458333333333334, "acc_stderr": 0.039994111357535424, "acc_norm": 0.6458333333333334, "acc_norm_stderr": 0.039994111357535424 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.44, "acc_stderr": 0.04988876515698589, "acc_norm": 0.44, "acc_norm_stderr": 0.04988876515698589 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.48, "acc_stderr": 0.050211673156867795, "acc_norm": 0.48, "acc_norm_stderr": 0.050211673156867795 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.35, "acc_stderr": 0.0479372485441102, "acc_norm": 0.35, "acc_norm_stderr": 0.0479372485441102 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.5317919075144508, "acc_stderr": 0.03804749744364764, "acc_norm": 0.5317919075144508, "acc_norm_stderr": 0.03804749744364764 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.3333333333333333, "acc_stderr": 0.04690650298201943, "acc_norm": 0.3333333333333333, "acc_norm_stderr": 0.04690650298201943 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.71, "acc_stderr": 0.04560480215720685, "acc_norm": 0.71, "acc_norm_stderr": 0.04560480215720685 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.4851063829787234, "acc_stderr": 0.032671518489247764, "acc_norm": 0.4851063829787234, "acc_norm_stderr": 0.032671518489247764 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.35964912280701755, "acc_stderr": 0.045144961328736334, "acc_norm": 0.35964912280701755, "acc_norm_stderr": 0.045144961328736334 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.6, "acc_stderr": 0.04082482904638629, "acc_norm": 0.6, "acc_norm_stderr": 0.04082482904638629 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.4021164021164021, "acc_stderr": 0.02525303255499769, "acc_norm": 0.4021164021164021, "acc_norm_stderr": 0.02525303255499769 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.31746031746031744, "acc_stderr": 0.04163453031302859, "acc_norm": 0.31746031746031744, "acc_norm_stderr": 0.04163453031302859 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.33, "acc_stderr": 0.04725815626252605, "acc_norm": 0.33, "acc_norm_stderr": 0.04725815626252605 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.6935483870967742, "acc_stderr": 0.02622648565255388, "acc_norm": 0.6935483870967742, "acc_norm_stderr": 0.02622648565255388 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.4876847290640394, "acc_stderr": 0.035169204442208966, "acc_norm": 0.4876847290640394, "acc_norm_stderr": 0.035169204442208966 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.57, "acc_stderr": 0.04975698519562428, "acc_norm": 0.57, "acc_norm_stderr": 0.04975698519562428 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.6363636363636364, "acc_stderr": 0.03756335775187897, "acc_norm": 0.6363636363636364, "acc_norm_stderr": 0.03756335775187897 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.7676767676767676, "acc_stderr": 0.030088629490217487, "acc_norm": 0.7676767676767676, "acc_norm_stderr": 0.030088629490217487 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.7564766839378239, "acc_stderr": 0.030975436386845436, "acc_norm": 0.7564766839378239, "acc_norm_stderr": 0.030975436386845436 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.5743589743589743, "acc_stderr": 0.025069094387296532, "acc_norm": 0.5743589743589743, "acc_norm_stderr": 0.025069094387296532 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.35555555555555557, "acc_stderr": 0.0291857149498574, "acc_norm": 0.35555555555555557, "acc_norm_stderr": 0.0291857149498574 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.5966386554621849, "acc_stderr": 0.031866081214088314, "acc_norm": 0.5966386554621849, "acc_norm_stderr": 0.031866081214088314 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.4304635761589404, "acc_stderr": 0.04042809961395634, "acc_norm": 0.4304635761589404, "acc_norm_stderr": 0.04042809961395634 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.7761467889908257, "acc_stderr": 0.017871217767790215, "acc_norm": 0.7761467889908257, "acc_norm_stderr": 0.017871217767790215 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.4675925925925926, "acc_stderr": 0.03402801581358966, "acc_norm": 0.4675925925925926, "acc_norm_stderr": 0.03402801581358966 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.7156862745098039, "acc_stderr": 0.03166009679399811, "acc_norm": 0.7156862745098039, "acc_norm_stderr": 0.03166009679399811 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.7341772151898734, "acc_stderr": 0.028756799629658342, "acc_norm": 0.7341772151898734, "acc_norm_stderr": 0.028756799629658342 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.6367713004484304, "acc_stderr": 0.03227790442850499, "acc_norm": 0.6367713004484304, "acc_norm_stderr": 0.03227790442850499 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.6183206106870229, "acc_stderr": 0.042607351576445594, "acc_norm": 0.6183206106870229, "acc_norm_stderr": 0.042607351576445594 }, "harness|hendrycksTest-international_law|5": { "acc": 0.7355371900826446, "acc_stderr": 0.040261875275912073, "acc_norm": 0.7355371900826446, "acc_norm_stderr": 0.040261875275912073 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.6851851851851852, "acc_stderr": 0.04489931073591312, "acc_norm": 0.6851851851851852, "acc_norm_stderr": 0.04489931073591312 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.6257668711656442, "acc_stderr": 0.03802068102899616, "acc_norm": 0.6257668711656442, "acc_norm_stderr": 0.03802068102899616 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.4107142857142857, "acc_stderr": 0.04669510663875191, "acc_norm": 0.4107142857142857, "acc_norm_stderr": 0.04669510663875191 }, "harness|hendrycksTest-management|5": { "acc": 0.7087378640776699, "acc_stderr": 0.04498676320572922, "acc_norm": 0.7087378640776699, "acc_norm_stderr": 0.04498676320572922 }, "harness|hendrycksTest-marketing|5": { "acc": 0.8205128205128205, "acc_stderr": 0.025140935950335452, "acc_norm": 0.8205128205128205, "acc_norm_stderr": 0.025140935950335452 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.65, "acc_stderr": 0.0479372485441102, "acc_norm": 0.65, "acc_norm_stderr": 0.0479372485441102 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.7369093231162197, "acc_stderr": 0.015745497169049053, "acc_norm": 0.7369093231162197, "acc_norm_stderr": 0.015745497169049053 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.6127167630057804, "acc_stderr": 0.026226158605124658, "acc_norm": 0.6127167630057804, "acc_norm_stderr": 0.026226158605124658 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.3139664804469274, "acc_stderr": 0.01552192393352364, "acc_norm": 0.3139664804469274, "acc_norm_stderr": 0.01552192393352364 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.6535947712418301, "acc_stderr": 0.027245613047215365, "acc_norm": 0.6535947712418301, "acc_norm_stderr": 0.027245613047215365 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.6366559485530546, "acc_stderr": 0.027316847674192707, "acc_norm": 0.6366559485530546, "acc_norm_stderr": 0.027316847674192707 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.5987654320987654, "acc_stderr": 0.027272582849839796, "acc_norm": 0.5987654320987654, "acc_norm_stderr": 0.027272582849839796 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.4148936170212766, "acc_stderr": 0.029392236584612503, "acc_norm": 0.4148936170212766, "acc_norm_stderr": 0.029392236584612503 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.394393741851369, "acc_stderr": 0.01248214166563119, "acc_norm": 0.394393741851369, "acc_norm_stderr": 0.01248214166563119 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.5404411764705882, "acc_stderr": 0.03027332507734576, "acc_norm": 0.5404411764705882, "acc_norm_stderr": 0.03027332507734576 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.5326797385620915, "acc_stderr": 0.0201845833591022, "acc_norm": 0.5326797385620915, "acc_norm_stderr": 0.0201845833591022 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.6545454545454545, "acc_stderr": 0.04554619617541054, "acc_norm": 0.6545454545454545, "acc_norm_stderr": 0.04554619617541054 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.689795918367347, "acc_stderr": 0.029613459872484378, "acc_norm": 0.689795918367347, "acc_norm_stderr": 0.029613459872484378 }, "harness|hendrycksTest-sociology|5": { "acc": 0.7761194029850746, "acc_stderr": 0.029475250236017193, "acc_norm": 0.7761194029850746, "acc_norm_stderr": 0.029475250236017193 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.76, "acc_stderr": 0.042923469599092816, "acc_norm": 0.76, "acc_norm_stderr": 0.042923469599092816 }, "harness|hendrycksTest-virology|5": { "acc": 0.4397590361445783, "acc_stderr": 0.03864139923699121, "acc_norm": 0.4397590361445783, "acc_norm_stderr": 0.03864139923699121 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.7192982456140351, "acc_stderr": 0.034462962170884265, "acc_norm": 0.7192982456140351, "acc_norm_stderr": 0.034462962170884265 }, "harness|truthfulqa:mc|0": { "mc1": 0.3108935128518972, "mc1_stderr": 0.016203316673559693, "mc2": 0.4792261052445388, "mc2_stderr": 0.015314648048905671 }, "harness|winogrande|5": { "acc": 0.7079715864246251, "acc_stderr": 0.012779198491754027 }, "harness|gsm8k|5": { "acc": 0.2630780894617134, "acc_stderr": 0.012128172607375925 } } ``` ## Dataset Details ### Dataset Description  - **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]  - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses  ### Direct Use  [More Information Needed] ### Out-of-Scope Use  [More Information Needed] ## Dataset Structure  [More Information Needed] ## Dataset Creation ### Curation Rationale  [More Information Needed] ### Source Data  #### Data Collection and Processing  [More Information Needed] #### Who are the source data producers?  [More Information Needed] ### Annotations [optional]  #### Annotation process  [More Information Needed] #### Who are the annotators?  [More Information Needed] #### Personal and Sensitive Information  [More Information Needed] ## Bias, Risks, and Limitations  [More Information Needed] ### Recommendations  Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional]  **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional]  [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]

CopyleftCultivars/Semisynthetic_Data_Natural_Farming_Fundamentals

--- license: mit --- This dataset was created semi-synthetically using a RAG system containing Korean Natural Farming teaching texts official english versions, along with open nutrient projects data, connected to a ChatGPT4 API, put together by Copyleft Cultivars Nonprofit, then cleaned lightly by Caleb DeLeeuw. The dataset is in json.

sudipto-ducs/mini-platypus

--- license: apache-2.0 dataset_info: features: - name: instruction dtype: string - name: output dtype: string splits: - name: train num_bytes: 1072343 num_examples: 1000 download_size: 560564 dataset_size: 1072343 ---

dtldhjh/github-issues

--- dataset_info: features: - name: url dtype: string - name: repository_url dtype: string - name: labels_url dtype: string - name: comments_url dtype: string - name: events_url dtype: string - name: html_url dtype: string - name: id dtype: int64 - name: node_id dtype: string - name: number dtype: int64 - name: title dtype: string - name: user dtype: string - name: labels dtype: string - name: state dtype: string - name: locked dtype: bool - name: assignee dtype: string - name: assignees dtype: string - name: milestone dtype: string - name: comments sequence: string - name: created_at dtype: string - name: updated_at dtype: string - name: closed_at dtype: string - name: author_association dtype: string - name: active_lock_reason dtype: float64 - name: body dtype: string - name: reactions dtype: string - name: timeline_url dtype: string - name: performed_via_github_app dtype: float64 - name: state_reason dtype: string - name: draft dtype: bool - name: pull_request dtype: string - name: is_pull_request dtype: bool splits: - name: train num_bytes: 24390715 num_examples: 5000 download_size: 6142822 dataset_size: 24390715 --- # Dataset Card for "github-issues" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

laaaarrywang/test

--- task_categories: - text-classification - feature-extraction language: - en tags: - finance size_categories: - 1K<n<10K ---

KaiLv/UDR_Yahoo

--- dataset_info: features: - name: idx dtype: int64 - name: label dtype: int64 - name: title dtype: string - name: content dtype: string - name: sentence dtype: string - name: len_sentence dtype: int64 splits: - name: train num_bytes: 17812235 num_examples: 29150 - name: test num_bytes: 1767766 num_examples: 3000 - name: debug num_bytes: 3032530 num_examples: 5000 download_size: 14936274 dataset_size: 22612531 --- # Dataset Card for "UDR_Yahoo" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

zqjilove/chill

--- license: openrail ---

CyberHarem/cornelia_arnim_fireemblem

--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of cornelia_arnim (Fire Emblem) This is the dataset of cornelia_arnim (Fire Emblem), containing 40 images and their tags. The core tags of this character are `breasts, long_hair, large_breasts, green_eyes, pink_hair, blue_eyes`, which are pruned in this dataset. Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)). ## List of Packages | Name | Images | Size | Download | Type | Description | |:-----------------|---------:|:-----------|:---------------------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------| | raw | 40 | 74.90 MiB | [Download](https://huggingface.co/datasets/CyberHarem/cornelia_arnim_fireemblem/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | | 800 | 40 | 36.70 MiB | [Download](https://huggingface.co/datasets/CyberHarem/cornelia_arnim_fireemblem/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. | | stage3-p480-800 | 99 | 79.36 MiB | [Download](https://huggingface.co/datasets/CyberHarem/cornelia_arnim_fireemblem/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | | 1200 | 40 | 65.48 MiB | [Download](https://huggingface.co/datasets/CyberHarem/cornelia_arnim_fireemblem/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. | | stage3-p480-1200 | 99 | 125.38 MiB | [Download](https://huggingface.co/datasets/CyberHarem/cornelia_arnim_fireemblem/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | ### Load Raw Dataset with Waifuc We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code ```python import os import zipfile from huggingface_hub import hf_hub_download from waifuc.source import LocalSource # download raw archive file zip_file = hf_hub_download( repo_id='CyberHarem/cornelia_arnim_fireemblem', repo_type='dataset', filename='dataset-raw.zip', ) # extract files to your directory dataset_dir = 'dataset_dir' os.makedirs(dataset_dir, exist_ok=True) with zipfile.ZipFile(zip_file, 'r') as zf: zf.extractall(dataset_dir) # load the dataset with waifuc source = LocalSource(dataset_dir) for item in source: print(item.image, item.meta['filename'], item.meta['tags']) ``` ## List of Clusters List of tag clustering result, maybe some outfits can be mined here. ### Raw Text Version | # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | Tags | |----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------------------------------------------------------------------------------------------| | 0 | 33 | ![](samples/0/clu0-sample0.png) | ![](samples/0/clu0-sample1.png) | ![](samples/0/clu0-sample2.png) | ![](samples/0/clu0-sample3.png) | ![](samples/0/clu0-sample4.png) | 1girl, solo, smile, circlet, cleavage, dress, looking_at_viewer, jewelry, simple_background, bare_shoulders, thighs | ### Table Version | # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | solo | smile | circlet | cleavage | dress | looking_at_viewer | jewelry | simple_background | bare_shoulders | thighs | |----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:-------|:--------|:----------|:-----------|:--------|:--------------------|:----------|:--------------------|:-----------------|:---------| | 0 | 33 | ![](samples/0/clu0-sample0.png) | ![](samples/0/clu0-sample1.png) | ![](samples/0/clu0-sample2.png) | ![](samples/0/clu0-sample3.png) | ![](samples/0/clu0-sample4.png) | X | X | X | X | X | X | X | X | X | X | X |

Alexator26/800_second_face_stickers_cleared

--- dataset_info: features: - name: original_image dtype: image - name: edit_prompt dtype: string - name: cartoonized_image dtype: image splits: - name: train num_bytes: 127188525.0 num_examples: 206 download_size: 127191795 dataset_size: 127188525.0 configs: - config_name: default data_files: - split: train path: data/train-* ---

datasets-examples/doc-formats-jsonl-1

--- size_categories: - n<1K --- # [doc] formats - jsonl - 1 This dataset contains one jsonl file at the root.

liuyanchen1015/MULTI_VALUE_mnli_me_us

--- dataset_info: features: - name: premise dtype: string - name: hypothesis dtype: string - name: label dtype: int64 - name: idx dtype: int64 - name: score dtype: int64 splits: - name: dev_matched num_bytes: 53725 num_examples: 253 - name: dev_mismatched num_bytes: 82785 num_examples: 395 - name: test_matched num_bytes: 75520 num_examples: 358 - name: test_mismatched num_bytes: 77093 num_examples: 359 - name: train num_bytes: 2415658 num_examples: 11573 download_size: 1551924 dataset_size: 2704781 --- # Dataset Card for "MULTI_VALUE_mnli_me_us" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

ylacombe/google-gujarati

--- dataset_info: - config_name: female features: - name: audio dtype: audio - name: text dtype: string - name: speaker_id dtype: int64 splits: - name: train num_bytes: 1481707913.184 num_examples: 2219 download_size: 1171501409 dataset_size: 1481707913.184 - config_name: male features: - name: audio dtype: audio - name: text dtype: string - name: speaker_id dtype: int64 splits: - name: train num_bytes: 1233511380.616 num_examples: 2053 download_size: 1011014041 dataset_size: 1233511380.616 configs: - config_name: female data_files: - split: train path: female/train-* - config_name: male data_files: - split: train path: male/train-* --- # Dataset Card for "google-gujarati" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

C-MTEB/ThuNewsClusteringP2P

--- configs: - config_name: default data_files: - split: test path: data/test-* dataset_info: features: - name: sentences sequence: string - name: labels sequence: string splits: - name: test num_bytes: 31552896 num_examples: 10 download_size: 23299710 dataset_size: 31552896 --- # Dataset Card for "ThuNewsClusteringP2P" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

open-llm-leaderboard/details_chlee10__T3Q-MSlerp-7Bx2

--- pretty_name: Evaluation run of chlee10/T3Q-MSlerp-7Bx2 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [chlee10/T3Q-MSlerp-7Bx2](https://huggingface.co/chlee10/T3Q-MSlerp-7Bx2) on the\ \ [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 63 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 (and is used to compute and display the aggregated 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_chlee10__T3Q-MSlerp-7Bx2\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-03-13T03:13:45.913085](https://huggingface.co/datasets/open-llm-leaderboard/details_chlee10__T3Q-MSlerp-7Bx2/blob/main/results_2024-03-13T03-13-45.913085.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\": 0.2589646771433041,\n\ \ \"acc_stderr\": 0.030862711301155407,\n \"acc_norm\": 0.2594822816717954,\n\ \ \"acc_norm_stderr\": 0.03168729202498976,\n \"mc1\": 0.2178702570379437,\n\ \ \"mc1_stderr\": 0.014450846714123892,\n \"mc2\": 0.47282237996457954,\n\ \ \"mc2_stderr\": 0.016347102378553885\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.22781569965870307,\n \"acc_stderr\": 0.01225670860232692,\n\ \ \"acc_norm\": 0.2841296928327645,\n \"acc_norm_stderr\": 0.013179442447653886\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.2545309699263095,\n\ \ \"acc_stderr\": 0.0043470700195274775,\n \"acc_norm\": 0.2546305516829317,\n\ \ \"acc_norm_stderr\": 0.004347629889040943\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ : {\n \"acc\": 0.31,\n \"acc_stderr\": 0.04648231987117316,\n \ \ \"acc_norm\": 0.31,\n \"acc_norm_stderr\": 0.04648231987117316\n \ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.3333333333333333,\n\ \ \"acc_stderr\": 0.04072314811876837,\n \"acc_norm\": 0.3333333333333333,\n\ \ \"acc_norm_stderr\": 0.04072314811876837\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.3026315789473684,\n \"acc_stderr\": 0.037385206761196665,\n\ \ \"acc_norm\": 0.3026315789473684,\n \"acc_norm_stderr\": 0.037385206761196665\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.17,\n\ \ \"acc_stderr\": 0.03775251680686371,\n \"acc_norm\": 0.17,\n \ \ \"acc_norm_stderr\": 0.03775251680686371\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.2188679245283019,\n \"acc_stderr\": 0.02544786382510861,\n\ \ \"acc_norm\": 0.2188679245283019,\n \"acc_norm_stderr\": 0.02544786382510861\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.2222222222222222,\n\ \ \"acc_stderr\": 0.03476590104304134,\n \"acc_norm\": 0.2222222222222222,\n\ \ \"acc_norm_stderr\": 0.03476590104304134\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.18,\n \"acc_stderr\": 0.03861229196653694,\n \ \ \"acc_norm\": 0.18,\n \"acc_norm_stderr\": 0.03861229196653694\n \ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\ : 0.26,\n \"acc_stderr\": 0.0440844002276808,\n \"acc_norm\": 0.26,\n\ \ \"acc_norm_stderr\": 0.0440844002276808\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ : {\n \"acc\": 0.25,\n \"acc_stderr\": 0.04351941398892446,\n \ \ \"acc_norm\": 0.25,\n \"acc_norm_stderr\": 0.04351941398892446\n \ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.26011560693641617,\n\ \ \"acc_stderr\": 0.033450369167889925,\n \"acc_norm\": 0.26011560693641617,\n\ \ \"acc_norm_stderr\": 0.033450369167889925\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.21568627450980393,\n \"acc_stderr\": 0.04092563958237655,\n\ \ \"acc_norm\": 0.21568627450980393,\n \"acc_norm_stderr\": 0.04092563958237655\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.3,\n \"acc_stderr\": 0.046056618647183814,\n \"acc_norm\": 0.3,\n\ \ \"acc_norm_stderr\": 0.046056618647183814\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.20425531914893616,\n \"acc_stderr\": 0.026355158413349424,\n\ \ \"acc_norm\": 0.20425531914893616,\n \"acc_norm_stderr\": 0.026355158413349424\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.2807017543859649,\n\ \ \"acc_stderr\": 0.04227054451232199,\n \"acc_norm\": 0.2807017543859649,\n\ \ \"acc_norm_stderr\": 0.04227054451232199\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.296551724137931,\n \"acc_stderr\": 0.03806142687309993,\n\ \ \"acc_norm\": 0.296551724137931,\n \"acc_norm_stderr\": 0.03806142687309993\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.26455026455026454,\n \"acc_stderr\": 0.02271746789770861,\n \"\ acc_norm\": 0.26455026455026454,\n \"acc_norm_stderr\": 0.02271746789770861\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.15079365079365079,\n\ \ \"acc_stderr\": 0.03200686497287392,\n \"acc_norm\": 0.15079365079365079,\n\ \ \"acc_norm_stderr\": 0.03200686497287392\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.33,\n \"acc_stderr\": 0.04725815626252604,\n \ \ \"acc_norm\": 0.33,\n \"acc_norm_stderr\": 0.04725815626252604\n \ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.3193548387096774,\n\ \ \"acc_stderr\": 0.02652270967466777,\n \"acc_norm\": 0.3193548387096774,\n\ \ \"acc_norm_stderr\": 0.02652270967466777\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\ : {\n \"acc\": 0.31527093596059114,\n \"acc_stderr\": 0.03269080871970186,\n\ \ \"acc_norm\": 0.31527093596059114,\n \"acc_norm_stderr\": 0.03269080871970186\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.33,\n \"acc_stderr\": 0.047258156262526045,\n \"acc_norm\"\ : 0.33,\n \"acc_norm_stderr\": 0.047258156262526045\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.28484848484848485,\n \"acc_stderr\": 0.035243908445117836,\n\ \ \"acc_norm\": 0.28484848484848485,\n \"acc_norm_stderr\": 0.035243908445117836\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.2222222222222222,\n \"acc_stderr\": 0.02962022787479049,\n \"\ acc_norm\": 0.2222222222222222,\n \"acc_norm_stderr\": 0.02962022787479049\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.22797927461139897,\n \"acc_stderr\": 0.030276909945178256,\n\ \ \"acc_norm\": 0.22797927461139897,\n \"acc_norm_stderr\": 0.030276909945178256\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.2205128205128205,\n \"acc_stderr\": 0.021020672680827912,\n\ \ \"acc_norm\": 0.2205128205128205,\n \"acc_norm_stderr\": 0.021020672680827912\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.26296296296296295,\n \"acc_stderr\": 0.02684205787383371,\n \ \ \"acc_norm\": 0.26296296296296295,\n \"acc_norm_stderr\": 0.02684205787383371\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.21008403361344538,\n \"acc_stderr\": 0.026461398717471874,\n\ \ \"acc_norm\": 0.21008403361344538,\n \"acc_norm_stderr\": 0.026461398717471874\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.271523178807947,\n \"acc_stderr\": 0.03631329803969653,\n \"acc_norm\"\ : 0.271523178807947,\n \"acc_norm_stderr\": 0.03631329803969653\n },\n\ \ \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\": 0.28807339449541286,\n\ \ \"acc_stderr\": 0.01941644589263602,\n \"acc_norm\": 0.28807339449541286,\n\ \ \"acc_norm_stderr\": 0.01941644589263602\n },\n \"harness|hendrycksTest-high_school_statistics|5\"\ : {\n \"acc\": 0.21296296296296297,\n \"acc_stderr\": 0.027920963147993656,\n\ \ \"acc_norm\": 0.21296296296296297,\n \"acc_norm_stderr\": 0.027920963147993656\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.2696078431372549,\n \"acc_stderr\": 0.03114557065948678,\n \"\ acc_norm\": 0.2696078431372549,\n \"acc_norm_stderr\": 0.03114557065948678\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.25316455696202533,\n \"acc_stderr\": 0.028304657943035282,\n \ \ \"acc_norm\": 0.25316455696202533,\n \"acc_norm_stderr\": 0.028304657943035282\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.17040358744394618,\n\ \ \"acc_stderr\": 0.02523459344713618,\n \"acc_norm\": 0.17040358744394618,\n\ \ \"acc_norm_stderr\": 0.02523459344713618\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.22900763358778625,\n \"acc_stderr\": 0.036853466317118506,\n\ \ \"acc_norm\": 0.22900763358778625,\n \"acc_norm_stderr\": 0.036853466317118506\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.371900826446281,\n \"acc_stderr\": 0.044120158066245044,\n \"\ acc_norm\": 0.371900826446281,\n \"acc_norm_stderr\": 0.044120158066245044\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.23148148148148148,\n\ \ \"acc_stderr\": 0.04077494709252626,\n \"acc_norm\": 0.23148148148148148,\n\ \ \"acc_norm_stderr\": 0.04077494709252626\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.3006134969325153,\n \"acc_stderr\": 0.03602511318806771,\n\ \ \"acc_norm\": 0.3006134969325153,\n \"acc_norm_stderr\": 0.03602511318806771\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.24107142857142858,\n\ \ \"acc_stderr\": 0.04059867246952687,\n \"acc_norm\": 0.24107142857142858,\n\ \ \"acc_norm_stderr\": 0.04059867246952687\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.1941747572815534,\n \"acc_stderr\": 0.039166677628225836,\n\ \ \"acc_norm\": 0.1941747572815534,\n \"acc_norm_stderr\": 0.039166677628225836\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.19658119658119658,\n\ \ \"acc_stderr\": 0.02603538609895129,\n \"acc_norm\": 0.19658119658119658,\n\ \ \"acc_norm_stderr\": 0.02603538609895129\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.2,\n \"acc_stderr\": 0.040201512610368445,\n \ \ \"acc_norm\": 0.2,\n \"acc_norm_stderr\": 0.040201512610368445\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.2707535121328225,\n\ \ \"acc_stderr\": 0.015889888362560486,\n \"acc_norm\": 0.2707535121328225,\n\ \ \"acc_norm_stderr\": 0.015889888362560486\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.29190751445086704,\n \"acc_stderr\": 0.02447699407624734,\n\ \ \"acc_norm\": 0.29190751445086704,\n \"acc_norm_stderr\": 0.02447699407624734\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.24692737430167597,\n\ \ \"acc_stderr\": 0.014422292204808835,\n \"acc_norm\": 0.24692737430167597,\n\ \ \"acc_norm_stderr\": 0.014422292204808835\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.25163398692810457,\n \"acc_stderr\": 0.024848018263875195,\n\ \ \"acc_norm\": 0.25163398692810457,\n \"acc_norm_stderr\": 0.024848018263875195\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.2990353697749196,\n\ \ \"acc_stderr\": 0.026003301117885135,\n \"acc_norm\": 0.2990353697749196,\n\ \ \"acc_norm_stderr\": 0.026003301117885135\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.2932098765432099,\n \"acc_stderr\": 0.02532988817190092,\n\ \ \"acc_norm\": 0.2932098765432099,\n \"acc_norm_stderr\": 0.02532988817190092\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.2624113475177305,\n \"acc_stderr\": 0.02624492034984301,\n \ \ \"acc_norm\": 0.2624113475177305,\n \"acc_norm_stderr\": 0.02624492034984301\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.24837027379400262,\n\ \ \"acc_stderr\": 0.011035212598034501,\n \"acc_norm\": 0.24837027379400262,\n\ \ \"acc_norm_stderr\": 0.011035212598034501\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.3639705882352941,\n \"acc_stderr\": 0.02922719246003203,\n\ \ \"acc_norm\": 0.3639705882352941,\n \"acc_norm_stderr\": 0.02922719246003203\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.2761437908496732,\n \"acc_stderr\": 0.018087276935663137,\n \ \ \"acc_norm\": 0.2761437908496732,\n \"acc_norm_stderr\": 0.018087276935663137\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.20909090909090908,\n\ \ \"acc_stderr\": 0.038950910157241364,\n \"acc_norm\": 0.20909090909090908,\n\ \ \"acc_norm_stderr\": 0.038950910157241364\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.3877551020408163,\n \"acc_stderr\": 0.031192230726795656,\n\ \ \"acc_norm\": 0.3877551020408163,\n \"acc_norm_stderr\": 0.031192230726795656\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.24875621890547264,\n\ \ \"acc_stderr\": 0.030567675938916707,\n \"acc_norm\": 0.24875621890547264,\n\ \ \"acc_norm_stderr\": 0.030567675938916707\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.25,\n \"acc_stderr\": 0.04351941398892446,\n \ \ \"acc_norm\": 0.25,\n \"acc_norm_stderr\": 0.04351941398892446\n \ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.20481927710843373,\n\ \ \"acc_stderr\": 0.03141784291663926,\n \"acc_norm\": 0.20481927710843373,\n\ \ \"acc_norm_stderr\": 0.03141784291663926\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.29239766081871343,\n \"acc_stderr\": 0.034886477134579215,\n\ \ \"acc_norm\": 0.29239766081871343,\n \"acc_norm_stderr\": 0.034886477134579215\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.2178702570379437,\n\ \ \"mc1_stderr\": 0.014450846714123892,\n \"mc2\": 0.47282237996457954,\n\ \ \"mc2_stderr\": 0.016347102378553885\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.5438042620363063,\n \"acc_stderr\": 0.01399845361092432\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.0,\n \"acc_stderr\"\ : 0.0\n }\n}\n```" repo_url: https://huggingface.co/chlee10/T3Q-MSlerp-7Bx2 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: 2024_03_13T03_13_45.913085 path: - '**/details_harness|arc:challenge|25_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2024-03-13T03-13-45.913085.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '**/details_harness|gsm8k|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_03_13T03_13_45.913085 path: - '**/details_harness|hellaswag|10_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-management|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-management|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-03-13T03-13-45.913085.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '**/details_harness|hendrycksTest-anatomy|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '**/details_harness|hendrycksTest-astronomy|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '**/details_harness|hendrycksTest-college_biology|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '**/details_harness|hendrycksTest-college_physics|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '**/details_harness|hendrycksTest-computer_security|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '**/details_harness|hendrycksTest-econometrics|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '**/details_harness|hendrycksTest-global_facts|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '**/details_harness|hendrycksTest-human_aging|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '**/details_harness|hendrycksTest-international_law|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '**/details_harness|hendrycksTest-management|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '**/details_harness|hendrycksTest-marketing|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '**/details_harness|hendrycksTest-nutrition|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '**/details_harness|hendrycksTest-philosophy|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '**/details_harness|hendrycksTest-prehistory|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '**/details_harness|hendrycksTest-professional_law|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '**/details_harness|hendrycksTest-public_relations|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '**/details_harness|hendrycksTest-security_studies|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '**/details_harness|hendrycksTest-sociology|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '**/details_harness|hendrycksTest-virology|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '**/details_harness|hendrycksTest-world_religions|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2024-03-13T03-13-45.913085.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_03_13T03_13_45.913085 path: - '**/details_harness|truthfulqa:mc|0_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2024-03-13T03-13-45.913085.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_03_13T03_13_45.913085 path: - '**/details_harness|winogrande|5_2024-03-13T03-13-45.913085.parquet' - split: latest path: - '**/details_harness|winogrande|5_2024-03-13T03-13-45.913085.parquet' - config_name: results data_files: - split: 2024_03_13T03_13_45.913085 path: - results_2024-03-13T03-13-45.913085.parquet - split: latest path: - results_2024-03-13T03-13-45.913085.parquet --- # Dataset Card for Evaluation run of chlee10/T3Q-MSlerp-7Bx2  Dataset automatically created during the evaluation run of model [chlee10/T3Q-MSlerp-7Bx2](https://huggingface.co/chlee10/T3Q-MSlerp-7Bx2) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 63 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 (and is used to compute and display the aggregated 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_chlee10__T3Q-MSlerp-7Bx2", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-03-13T03:13:45.913085](https://huggingface.co/datasets/open-llm-leaderboard/details_chlee10__T3Q-MSlerp-7Bx2/blob/main/results_2024-03-13T03-13-45.913085.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": 0.2589646771433041, "acc_stderr": 0.030862711301155407, "acc_norm": 0.2594822816717954, "acc_norm_stderr": 0.03168729202498976, "mc1": 0.2178702570379437, "mc1_stderr": 0.014450846714123892, "mc2": 0.47282237996457954, "mc2_stderr": 0.016347102378553885 }, "harness|arc:challenge|25": { "acc": 0.22781569965870307, "acc_stderr": 0.01225670860232692, "acc_norm": 0.2841296928327645, "acc_norm_stderr": 0.013179442447653886 }, "harness|hellaswag|10": { "acc": 0.2545309699263095, "acc_stderr": 0.0043470700195274775, "acc_norm": 0.2546305516829317, "acc_norm_stderr": 0.004347629889040943 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.3333333333333333, "acc_stderr": 0.04072314811876837, "acc_norm": 0.3333333333333333, "acc_norm_stderr": 0.04072314811876837 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.3026315789473684, "acc_stderr": 0.037385206761196665, "acc_norm": 0.3026315789473684, "acc_norm_stderr": 0.037385206761196665 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.17, "acc_stderr": 0.03775251680686371, "acc_norm": 0.17, "acc_norm_stderr": 0.03775251680686371 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.2188679245283019, "acc_stderr": 0.02544786382510861, "acc_norm": 0.2188679245283019, "acc_norm_stderr": 0.02544786382510861 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.2222222222222222, "acc_stderr": 0.03476590104304134, "acc_norm": 0.2222222222222222, "acc_norm_stderr": 0.03476590104304134 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.18, "acc_stderr": 0.03861229196653694, "acc_norm": 0.18, "acc_norm_stderr": 0.03861229196653694 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.26, "acc_stderr": 0.0440844002276808, "acc_norm": 0.26, "acc_norm_stderr": 0.0440844002276808 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.25, "acc_stderr": 0.04351941398892446, "acc_norm": 0.25, "acc_norm_stderr": 0.04351941398892446 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.26011560693641617, "acc_stderr": 0.033450369167889925, "acc_norm": 0.26011560693641617, "acc_norm_stderr": 0.033450369167889925 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.21568627450980393, "acc_stderr": 0.04092563958237655, "acc_norm": 0.21568627450980393, "acc_norm_stderr": 0.04092563958237655 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.20425531914893616, "acc_stderr": 0.026355158413349424, "acc_norm": 0.20425531914893616, "acc_norm_stderr": 0.026355158413349424 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.2807017543859649, "acc_stderr": 0.04227054451232199, "acc_norm": 0.2807017543859649, "acc_norm_stderr": 0.04227054451232199 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.296551724137931, "acc_stderr": 0.03806142687309993, "acc_norm": 0.296551724137931, "acc_norm_stderr": 0.03806142687309993 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.26455026455026454, "acc_stderr": 0.02271746789770861, "acc_norm": 0.26455026455026454, "acc_norm_stderr": 0.02271746789770861 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.15079365079365079, "acc_stderr": 0.03200686497287392, "acc_norm": 0.15079365079365079, "acc_norm_stderr": 0.03200686497287392 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.33, "acc_stderr": 0.04725815626252604, "acc_norm": 0.33, "acc_norm_stderr": 0.04725815626252604 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.3193548387096774, "acc_stderr": 0.02652270967466777, "acc_norm": 0.3193548387096774, "acc_norm_stderr": 0.02652270967466777 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.31527093596059114, "acc_stderr": 0.03269080871970186, "acc_norm": 0.31527093596059114, "acc_norm_stderr": 0.03269080871970186 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.33, "acc_stderr": 0.047258156262526045, "acc_norm": 0.33, "acc_norm_stderr": 0.047258156262526045 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.28484848484848485, "acc_stderr": 0.035243908445117836, "acc_norm": 0.28484848484848485, "acc_norm_stderr": 0.035243908445117836 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.2222222222222222, "acc_stderr": 0.02962022787479049, "acc_norm": 0.2222222222222222, "acc_norm_stderr": 0.02962022787479049 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.22797927461139897, "acc_stderr": 0.030276909945178256, "acc_norm": 0.22797927461139897, "acc_norm_stderr": 0.030276909945178256 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.2205128205128205, "acc_stderr": 0.021020672680827912, "acc_norm": 0.2205128205128205, "acc_norm_stderr": 0.021020672680827912 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.26296296296296295, "acc_stderr": 0.02684205787383371, "acc_norm": 0.26296296296296295, "acc_norm_stderr": 0.02684205787383371 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.21008403361344538, "acc_stderr": 0.026461398717471874, "acc_norm": 0.21008403361344538, "acc_norm_stderr": 0.026461398717471874 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.271523178807947, "acc_stderr": 0.03631329803969653, "acc_norm": 0.271523178807947, "acc_norm_stderr": 0.03631329803969653 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.28807339449541286, "acc_stderr": 0.01941644589263602, "acc_norm": 0.28807339449541286, "acc_norm_stderr": 0.01941644589263602 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.21296296296296297, "acc_stderr": 0.027920963147993656, "acc_norm": 0.21296296296296297, "acc_norm_stderr": 0.027920963147993656 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.2696078431372549, "acc_stderr": 0.03114557065948678, "acc_norm": 0.2696078431372549, "acc_norm_stderr": 0.03114557065948678 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.25316455696202533, "acc_stderr": 0.028304657943035282, "acc_norm": 0.25316455696202533, "acc_norm_stderr": 0.028304657943035282 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.17040358744394618, "acc_stderr": 0.02523459344713618, "acc_norm": 0.17040358744394618, "acc_norm_stderr": 0.02523459344713618 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.22900763358778625, "acc_stderr": 0.036853466317118506, "acc_norm": 0.22900763358778625, "acc_norm_stderr": 0.036853466317118506 }, "harness|hendrycksTest-international_law|5": { "acc": 0.371900826446281, "acc_stderr": 0.044120158066245044, "acc_norm": 0.371900826446281, "acc_norm_stderr": 0.044120158066245044 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.23148148148148148, "acc_stderr": 0.04077494709252626, "acc_norm": 0.23148148148148148, "acc_norm_stderr": 0.04077494709252626 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.3006134969325153, "acc_stderr": 0.03602511318806771, "acc_norm": 0.3006134969325153, "acc_norm_stderr": 0.03602511318806771 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.24107142857142858, "acc_stderr": 0.04059867246952687, "acc_norm": 0.24107142857142858, "acc_norm_stderr": 0.04059867246952687 }, "harness|hendrycksTest-management|5": { "acc": 0.1941747572815534, "acc_stderr": 0.039166677628225836, "acc_norm": 0.1941747572815534, "acc_norm_stderr": 0.039166677628225836 }, "harness|hendrycksTest-marketing|5": { "acc": 0.19658119658119658, "acc_stderr": 0.02603538609895129, "acc_norm": 0.19658119658119658, "acc_norm_stderr": 0.02603538609895129 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.2, "acc_stderr": 0.040201512610368445, "acc_norm": 0.2, "acc_norm_stderr": 0.040201512610368445 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.2707535121328225, "acc_stderr": 0.015889888362560486, "acc_norm": 0.2707535121328225, "acc_norm_stderr": 0.015889888362560486 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.29190751445086704, "acc_stderr": 0.02447699407624734, "acc_norm": 0.29190751445086704, "acc_norm_stderr": 0.02447699407624734 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.24692737430167597, "acc_stderr": 0.014422292204808835, "acc_norm": 0.24692737430167597, "acc_norm_stderr": 0.014422292204808835 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.25163398692810457, "acc_stderr": 0.024848018263875195, "acc_norm": 0.25163398692810457, "acc_norm_stderr": 0.024848018263875195 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.2990353697749196, "acc_stderr": 0.026003301117885135, "acc_norm": 0.2990353697749196, "acc_norm_stderr": 0.026003301117885135 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.2932098765432099, "acc_stderr": 0.02532988817190092, "acc_norm": 0.2932098765432099, "acc_norm_stderr": 0.02532988817190092 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.2624113475177305, "acc_stderr": 0.02624492034984301, "acc_norm": 0.2624113475177305, "acc_norm_stderr": 0.02624492034984301 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.24837027379400262, "acc_stderr": 0.011035212598034501, "acc_norm": 0.24837027379400262, "acc_norm_stderr": 0.011035212598034501 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.3639705882352941, "acc_stderr": 0.02922719246003203, "acc_norm": 0.3639705882352941, "acc_norm_stderr": 0.02922719246003203 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.2761437908496732, "acc_stderr": 0.018087276935663137, "acc_norm": 0.2761437908496732, "acc_norm_stderr": 0.018087276935663137 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.20909090909090908, "acc_stderr": 0.038950910157241364, "acc_norm": 0.20909090909090908, "acc_norm_stderr": 0.038950910157241364 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.3877551020408163, "acc_stderr": 0.031192230726795656, "acc_norm": 0.3877551020408163, "acc_norm_stderr": 0.031192230726795656 }, "harness|hendrycksTest-sociology|5": { "acc": 0.24875621890547264, "acc_stderr": 0.030567675938916707, "acc_norm": 0.24875621890547264, "acc_norm_stderr": 0.030567675938916707 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.25, "acc_stderr": 0.04351941398892446, "acc_norm": 0.25, "acc_norm_stderr": 0.04351941398892446 }, "harness|hendrycksTest-virology|5": { "acc": 0.20481927710843373, "acc_stderr": 0.03141784291663926, "acc_norm": 0.20481927710843373, "acc_norm_stderr": 0.03141784291663926 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.29239766081871343, "acc_stderr": 0.034886477134579215, "acc_norm": 0.29239766081871343, "acc_norm_stderr": 0.034886477134579215 }, "harness|truthfulqa:mc|0": { "mc1": 0.2178702570379437, "mc1_stderr": 0.014450846714123892, "mc2": 0.47282237996457954, "mc2_stderr": 0.016347102378553885 }, "harness|winogrande|5": { "acc": 0.5438042620363063, "acc_stderr": 0.01399845361092432 }, "harness|gsm8k|5": { "acc": 0.0, "acc_stderr": 0.0 } } ``` ## Dataset Details ### Dataset Description  - **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]  - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses  ### Direct Use  [More Information Needed] ### Out-of-Scope Use  [More Information Needed] ## Dataset Structure  [More Information Needed] ## Dataset Creation ### Curation Rationale  [More Information Needed] ### Source Data  #### Data Collection and Processing  [More Information Needed] #### Who are the source data producers?  [More Information Needed] ### Annotations [optional]  #### Annotation process  [More Information Needed] #### Who are the annotators?  [More Information Needed] #### Personal and Sensitive Information  [More Information Needed] ## Bias, Risks, and Limitations  [More Information Needed] ### Recommendations  Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional]  **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional]  [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]

CyberHarem/bibeak_arknights

--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of bibeak/バイビーク/柏喙 (Arknights) This is the dataset of bibeak/バイビーク/柏喙 (Arknights), containing 23 images and their tags. The core tags of this character are `long_hair, breasts, hair_ornament, grey_hair, hair_flower, white_hair`, which are pruned in this dataset. Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)). ## List of Packages | Name | Images | Size | Download | Type | Description | |:-----------------|---------:|:----------|:------------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------| | raw | 23 | 45.04 MiB | [Download](https://huggingface.co/datasets/CyberHarem/bibeak_arknights/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | | 1200 | 23 | 37.47 MiB | [Download](https://huggingface.co/datasets/CyberHarem/bibeak_arknights/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. | | stage3-p480-1200 | 56 | 71.16 MiB | [Download](https://huggingface.co/datasets/CyberHarem/bibeak_arknights/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | ### Load Raw Dataset with Waifuc We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code ```python import os import zipfile from huggingface_hub import hf_hub_download from waifuc.source import LocalSource # download raw archive file zip_file = hf_hub_download( repo_id='CyberHarem/bibeak_arknights', repo_type='dataset', filename='dataset-raw.zip', ) # extract files to your directory dataset_dir = 'dataset_dir' os.makedirs(dataset_dir, exist_ok=True) with zipfile.ZipFile(zip_file, 'r') as zf: zf.extractall(dataset_dir) # load the dataset with waifuc source = LocalSource(dataset_dir) for item in source: print(item.image, item.meta['filename'], item.meta['tags']) ``` ## List of Clusters List of tag clustering result, maybe some outfits can be mined here. ### Raw Text Version | # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | Tags | |----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | 0 | 5 | ![](samples/0/clu0-sample0.png) | ![](samples/0/clu0-sample1.png) | ![](samples/0/clu0-sample2.png) | ![](samples/0/clu0-sample3.png) | ![](samples/0/clu0-sample4.png) | 1girl, dress, frills, looking_at_viewer, solo, white_gloves, bare_shoulders, blue_rose, closed_mouth, feather_hair, green_eyes, large_breasts, wings, yellow_eyes, character_name, dated, feathers, medium_breasts, off_shoulder, simple_background, sitting | | 1 | 6 | ![](samples/1/clu1-sample0.png) | ![](samples/1/clu1-sample1.png) | ![](samples/1/clu1-sample2.png) | ![](samples/1/clu1-sample3.png) | ![](samples/1/clu1-sample4.png) | 1girl, looking_at_viewer, solo, dress, frills, white_gloves, skirt, blue_flower, closed_mouth, grey_eyes, hair_bow, holding_sword, rose, white_background | ### Table Version | # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | dress | frills | looking_at_viewer | solo | white_gloves | bare_shoulders | blue_rose | closed_mouth | feather_hair | green_eyes | large_breasts | wings | yellow_eyes | character_name | dated | feathers | medium_breasts | off_shoulder | simple_background | sitting | skirt | blue_flower | grey_eyes | hair_bow | holding_sword | rose | white_background | |----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:--------|:---------|:--------------------|:-------|:---------------|:-----------------|:------------|:---------------|:---------------|:-------------|:----------------|:--------|:--------------|:-----------------|:--------|:-----------|:-----------------|:---------------|:--------------------|:----------|:--------|:--------------|:------------|:-----------|:----------------|:-------|:-------------------| | 0 | 5 | ![](samples/0/clu0-sample0.png) | ![](samples/0/clu0-sample1.png) | ![](samples/0/clu0-sample2.png) | ![](samples/0/clu0-sample3.png) | ![](samples/0/clu0-sample4.png) | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | 1 | 6 | ![](samples/1/clu1-sample0.png) | ![](samples/1/clu1-sample1.png) | ![](samples/1/clu1-sample2.png) | ![](samples/1/clu1-sample3.png) | ![](samples/1/clu1-sample4.png) | X | X | X | X | X | X | | | X | | | | | | | | | | | | | X | X | X | X | X | X | X |

andresaparicio/apa

--- license: openrail ---

amitrajitbh1/communities_unproc

--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: author dtype: string - name: body dtype: string - name: normalizedBody dtype: string - name: subreddit dtype: string - name: subreddit_id dtype: string - name: id dtype: string - name: content dtype: string - name: summary dtype: string splits: - name: train num_bytes: 2450236670.538612 num_examples: 497952 download_size: 1497430442 dataset_size: 2450236670.538612 --- # Dataset Card for "communities_unproc" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

pvduy/ultrafeedback-trans-jp-cleaned-v1

--- 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 splits: - name: train num_bytes: 246493971 num_examples: 56263 - name: test num_bytes: 5557339 num_examples: 1000 download_size: 122204740 dataset_size: 252051310 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* ---

suhan81/test01

--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 5826 num_examples: 39 download_size: 2572 dataset_size: 5826 configs: - config_name: default data_files: - split: train path: data/train-* ---

LahiruLowe/niv2_filtered_2pertask

--- dataset_info: features: - name: inputs dtype: string - name: targets dtype: string - name: task_source dtype: string - name: task_name dtype: string - name: template_type dtype: string splits: - name: train num_bytes: 2918226 num_examples: 3112 download_size: 1628617 dataset_size: 2918226 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "niv2_filtered_2pertask" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

freshpearYoon/train_free_40

--- dataset_info: features: - name: input_features sequence: sequence: float32 - name: labels sequence: int64 splits: - name: train num_bytes: 9604569160 num_examples: 10000 download_size: 1229689634 dataset_size: 9604569160 configs: - config_name: default data_files: - split: train path: data/train-* ---

tdh87/MIxed40real60aiGenerated

--- license: mit ---

Falah/chapter9_0_prompts

--- dataset_info: features: - name: prompts dtype: string splits: - name: train num_bytes: 2878 num_examples: 10 download_size: 4316 dataset_size: 2878 --- # Dataset Card for "chapter9_0_prompts" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

taylorbobaylor/tay-stack-v1

--- dataset_info: features: - name: repo_id dtype: string - name: file_path dtype: string - name: content dtype: string - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 628428 num_examples: 66 download_size: 231587 dataset_size: 628428 configs: - config_name: default data_files: - split: train path: data/train-* ---

wltjr1007/DomainNet

--- language: - en license: other size_categories: - 100K<n<1M task_categories: - image-classification - zero-shot-image-classification task_ids: - multi-class-image-classification - multi-class-classification pretty_name: DomainNet dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': aircraft_carrier '1': airplane '2': alarm_clock '3': ambulance '4': angel '5': animal_migration '6': ant '7': anvil '8': apple '9': arm '10': asparagus '11': axe '12': backpack '13': banana '14': bandage '15': barn '16': baseball '17': baseball_bat '18': basket '19': basketball '20': bat '21': bathtub '22': beach '23': bear '24': beard '25': bed '26': bee '27': belt '28': bench '29': bicycle '30': binoculars '31': bird '32': birthday_cake '33': blackberry '34': blueberry '35': book '36': boomerang '37': bottlecap '38': bowtie '39': bracelet '40': brain '41': bread '42': bridge '43': broccoli '44': broom '45': bucket '46': bulldozer '47': bus '48': bush '49': butterfly '50': cactus '51': cake '52': calculator '53': calendar '54': camel '55': camera '56': camouflage '57': campfire '58': candle '59': cannon '60': canoe '61': car '62': carrot '63': castle '64': cat '65': ceiling_fan '66': cello '67': cell_phone '68': chair '69': chandelier '70': church '71': circle '72': clarinet '73': clock '74': cloud '75': coffee_cup '76': compass '77': computer '78': cookie '79': cooler '80': couch '81': cow '82': crab '83': crayon '84': crocodile '85': crown '86': cruise_ship '87': cup '88': diamond '89': dishwasher '90': diving_board '91': dog '92': dolphin '93': donut '94': door '95': dragon '96': dresser '97': drill '98': drums '99': duck '100': dumbbell '101': ear '102': elbow '103': elephant '104': envelope '105': eraser '106': eye '107': eyeglasses '108': face '109': fan '110': feather '111': fence '112': finger '113': fire_hydrant '114': fireplace '115': firetruck '116': fish '117': flamingo '118': flashlight '119': flip_flops '120': floor_lamp '121': flower '122': flying_saucer '123': foot '124': fork '125': frog '126': frying_pan '127': garden '128': garden_hose '129': giraffe '130': goatee '131': golf_club '132': grapes '133': grass '134': guitar '135': hamburger '136': hammer '137': hand '138': harp '139': hat '140': headphones '141': hedgehog '142': helicopter '143': helmet '144': hexagon '145': hockey_puck '146': hockey_stick '147': horse '148': hospital '149': hot_air_balloon '150': hot_dog '151': hot_tub '152': hourglass '153': house '154': house_plant '155': hurricane '156': ice_cream '157': jacket '158': jail '159': kangaroo '160': key '161': keyboard '162': knee '163': knife '164': ladder '165': lantern '166': laptop '167': leaf '168': leg '169': light_bulb '170': lighter '171': lighthouse '172': lightning '173': line '174': lion '175': lipstick '176': lobster '177': lollipop '178': mailbox '179': map '180': marker '181': matches '182': megaphone '183': mermaid '184': microphone '185': microwave '186': monkey '187': moon '188': mosquito '189': motorbike '190': mountain '191': mouse '192': moustache '193': mouth '194': mug '195': mushroom '196': nail '197': necklace '198': nose '199': ocean '200': octagon '201': octopus '202': onion '203': oven '204': owl '205': paintbrush '206': paint_can '207': palm_tree '208': panda '209': pants '210': paper_clip '211': parachute '212': parrot '213': passport '214': peanut '215': pear '216': peas '217': pencil '218': penguin '219': piano '220': pickup_truck '221': picture_frame '222': pig '223': pillow '224': pineapple '225': pizza '226': pliers '227': police_car '228': pond '229': pool '230': popsicle '231': postcard '232': potato '233': power_outlet '234': purse '235': rabbit '236': raccoon '237': radio '238': rain '239': rainbow '240': rake '241': remote_control '242': rhinoceros '243': rifle '244': river '245': roller_coaster '246': rollerskates '247': sailboat '248': sandwich '249': saw '250': saxophone '251': school_bus '252': scissors '253': scorpion '254': screwdriver '255': sea_turtle '256': see_saw '257': shark '258': sheep '259': shoe '260': shorts '261': shovel '262': sink '263': skateboard '264': skull '265': skyscraper '266': sleeping_bag '267': smiley_face '268': snail '269': snake '270': snorkel '271': snowflake '272': snowman '273': soccer_ball '274': sock '275': speedboat '276': spider '277': spoon '278': spreadsheet '279': square '280': squiggle '281': squirrel '282': stairs '283': star '284': steak '285': stereo '286': stethoscope '287': stitches '288': stop_sign '289': stove '290': strawberry '291': streetlight '292': string_bean '293': submarine '294': suitcase '295': sun '296': swan '297': sweater '298': swing_set '299': sword '300': syringe '301': table '302': teapot '303': teddy-bear '304': telephone '305': television '306': tennis_racquet '307': tent '308': The_Eiffel_Tower '309': The_Great_Wall_of_China '310': The_Mona_Lisa '311': tiger '312': toaster '313': toe '314': toilet '315': tooth '316': toothbrush '317': toothpaste '318': tornado '319': tractor '320': traffic_light '321': train '322': tree '323': triangle '324': trombone '325': truck '326': trumpet '327': t-shirt '328': umbrella '329': underwear '330': van '331': vase '332': violin '333': washing_machine '334': watermelon '335': waterslide '336': whale '337': wheel '338': windmill '339': wine_bottle '340': wine_glass '341': wristwatch '342': yoga '343': zebra '344': zigzag - name: domain dtype: class_label: names: '0': clipart '1': infograph '2': painting '3': quickdraw '4': real '5': sketch - name: image_path dtype: string splits: - name: train num_bytes: 1098474093.3600001 num_examples: 409832 - name: test num_bytes: 471724034.589 num_examples: 176743 download_size: 18521436207 dataset_size: 1570198127.9490001 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* --- Data downloaded from [WILDS](https://wilds.stanford.edu/) ([Download](https://wilds.stanford.edu/downloads), [paper](https://arxiv.org/abs/1812.01754), [project](https://ai.bu.edu/M3SDA/)). This dataset contains some copyrighted material whose use has not been specifically authorized by the copyright owners. In an effort to advance scientific research, we make this material available for academic research. We believe this constitutes a fair use of any such copyrighted material as provided for in section 107 of the US Copyright Law. In accordance with Title 17 U.S.C. Section 107, the material on this site is distributed without profit for non-commercial research and educational purposes. For more information on fair use please click [here](https://www.law.cornell.edu/uscode/text/17/107). If you wish to use copyrighted material on this site or in our dataset for purposes of your own that go beyond non-commercial research and academic purposes, you must obtain permission directly from the copyright owner. (adapted from the [official DomainNet website](https://ai.bu.edu/M3SDA/#refs))

Back-up/chung-khoan-demo-p6

--- dataset_info: features: [] splits: - name: train num_bytes: 0 num_examples: 0 download_size: 324 dataset_size: 0 configs: - config_name: default data_files: - split: train path: data/train-* ---

EgilKarlsen/BGL_RoBERTa_Baseline

--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* dataset_info: features: - name: '0' dtype: float32 - name: '1' dtype: float32 - name: '2' dtype: float32 - name: '3' dtype: float32 - name: '4' dtype: float32 - name: '5' dtype: float32 - name: '6' dtype: float32 - name: '7' dtype: float32 - name: '8' dtype: float32 - name: '9' dtype: float32 - name: '10' dtype: float32 - name: '11' dtype: float32 - name: '12' dtype: float32 - name: '13' dtype: float32 - name: '14' dtype: float32 - name: '15' dtype: float32 - name: '16' dtype: float32 - name: '17' dtype: float32 - name: '18' dtype: float32 - name: '19' dtype: float32 - name: '20' dtype: float32 - name: '21' dtype: float32 - name: '22' dtype: float32 - name: '23' dtype: float32 - name: '24' dtype: float32 - name: '25' dtype: float32 - name: '26' dtype: float32 - name: '27' dtype: float32 - name: '28' dtype: float32 - name: '29' dtype: float32 - name: '30' dtype: float32 - name: '31' dtype: float32 - name: '32' dtype: float32 - name: '33' dtype: float32 - name: '34' dtype: float32 - name: '35' dtype: float32 - name: '36' dtype: float32 - name: '37' dtype: float32 - name: '38' dtype: float32 - name: '39' dtype: float32 - name: '40' dtype: float32 - name: '41' dtype: float32 - name: '42' dtype: float32 - name: '43' dtype: float32 - name: '44' dtype: float32 - name: '45' dtype: float32 - name: '46' dtype: float32 - name: '47' dtype: float32 - name: '48' dtype: float32 - name: '49' dtype: float32 - name: '50' dtype: float32 - name: '51' dtype: float32 - name: '52' dtype: float32 - name: '53' dtype: float32 - name: '54' dtype: float32 - name: '55' dtype: float32 - name: '56' dtype: float32 - name: '57' dtype: float32 - name: '58' dtype: float32 - name: '59' dtype: float32 - name: '60' dtype: float32 - name: '61' dtype: float32 - name: '62' dtype: float32 - name: '63' dtype: float32 - name: '64' dtype: float32 - name: '65' dtype: float32 - name: '66' dtype: float32 - name: '67' dtype: float32 - name: '68' dtype: float32 - name: '69' dtype: float32 - name: '70' dtype: float32 - name: '71' dtype: float32 - name: '72' dtype: float32 - name: '73' dtype: float32 - name: '74' dtype: float32 - name: '75' dtype: float32 - name: '76' dtype: float32 - name: '77' dtype: float32 - name: '78' dtype: float32 - name: '79' dtype: float32 - name: '80' dtype: float32 - name: '81' dtype: float32 - name: '82' dtype: float32 - name: '83' dtype: float32 - name: '84' dtype: float32 - name: '85' dtype: float32 - name: '86' dtype: float32 - name: '87' dtype: float32 - name: '88' dtype: float32 - name: '89' dtype: float32 - name: '90' dtype: float32 - name: '91' dtype: float32 - name: '92' dtype: float32 - name: '93' dtype: float32 - name: '94' dtype: float32 - name: '95' dtype: float32 - name: '96' dtype: float32 - name: '97' dtype: float32 - name: '98' dtype: float32 - name: '99' dtype: float32 - name: '100' dtype: float32 - name: '101' dtype: float32 - name: '102' dtype: float32 - name: '103' dtype: float32 - name: '104' dtype: float32 - name: '105' dtype: float32 - name: '106' dtype: float32 - name: '107' dtype: float32 - name: '108' dtype: float32 - name: '109' dtype: float32 - name: '110' dtype: float32 - name: '111' dtype: float32 - name: '112' dtype: float32 - name: '113' dtype: float32 - name: '114' dtype: float32 - name: '115' dtype: float32 - name: '116' dtype: float32 - name: '117' dtype: float32 - name: '118' dtype: float32 - name: '119' dtype: float32 - name: '120' dtype: float32 - name: '121' dtype: float32 - name: '122' dtype: float32 - name: '123' dtype: float32 - name: '124' dtype: float32 - name: '125' dtype: float32 - name: '126' dtype: float32 - name: '127' dtype: float32 - name: '128' dtype: float32 - name: '129' dtype: float32 - name: '130' dtype: float32 - name: '131' dtype: float32 - name: '132' dtype: float32 - name: '133' dtype: float32 - name: '134' dtype: float32 - name: '135' dtype: float32 - name: '136' dtype: float32 - name: '137' dtype: float32 - name: '138' dtype: float32 - name: '139' dtype: float32 - name: '140' dtype: float32 - name: '141' dtype: float32 - name: '142' dtype: float32 - name: '143' dtype: float32 - name: '144' dtype: float32 - name: '145' dtype: float32 - name: '146' dtype: float32 - name: '147' dtype: float32 - name: '148' dtype: float32 - name: '149' dtype: float32 - name: '150' dtype: float32 - name: '151' dtype: float32 - name: '152' dtype: float32 - name: '153' dtype: float32 - name: '154' dtype: float32 - name: '155' dtype: float32 - name: '156' dtype: float32 - name: '157' dtype: float32 - name: '158' dtype: float32 - name: '159' dtype: float32 - name: '160' dtype: float32 - name: '161' dtype: float32 - name: '162' dtype: float32 - name: '163' dtype: float32 - name: '164' dtype: float32 - name: '165' dtype: float32 - name: '166' dtype: float32 - name: '167' dtype: float32 - name: '168' dtype: float32 - name: '169' dtype: float32 - name: '170' dtype: float32 - name: '171' dtype: float32 - name: '172' dtype: float32 - name: '173' dtype: float32 - name: '174' dtype: float32 - name: '175' dtype: float32 - name: '176' dtype: float32 - name: '177' dtype: float32 - name: '178' dtype: float32 - name: '179' dtype: float32 - name: '180' dtype: float32 - name: '181' dtype: float32 - name: '182' dtype: float32 - name: '183' dtype: float32 - name: '184' dtype: float32 - name: '185' dtype: float32 - name: '186' dtype: float32 - name: '187' dtype: float32 - name: '188' dtype: float32 - name: '189' dtype: float32 - name: '190' dtype: float32 - name: '191' dtype: float32 - name: '192' dtype: float32 - name: '193' dtype: float32 - name: '194' dtype: float32 - name: '195' dtype: float32 - name: '196' dtype: float32 - name: '197' dtype: float32 - name: '198' dtype: float32 - name: '199' dtype: float32 - name: '200' dtype: float32 - name: '201' dtype: float32 - name: '202' dtype: float32 - name: '203' dtype: float32 - name: '204' dtype: float32 - name: '205' dtype: float32 - name: '206' dtype: float32 - name: '207' dtype: float32 - name: '208' dtype: float32 - name: '209' dtype: float32 - name: '210' dtype: float32 - name: '211' dtype: float32 - name: '212' dtype: float32 - name: '213' dtype: float32 - name: '214' dtype: float32 - name: '215' dtype: float32 - name: '216' dtype: float32 - name: '217' dtype: float32 - name: '218' dtype: float32 - name: '219' dtype: float32 - name: '220' dtype: float32 - name: '221' dtype: float32 - name: '222' dtype: float32 - name: '223' dtype: float32 - name: '224' dtype: float32 - name: '225' dtype: float32 - name: '226' dtype: float32 - name: '227' dtype: float32 - name: '228' dtype: float32 - name: '229' dtype: float32 - name: '230' dtype: float32 - name: '231' dtype: float32 - name: '232' dtype: float32 - name: '233' dtype: float32 - name: '234' dtype: float32 - name: '235' dtype: float32 - name: '236' dtype: float32 - name: '237' dtype: float32 - name: '238' dtype: float32 - name: '239' dtype: float32 - name: '240' dtype: float32 - name: '241' dtype: float32 - name: '242' dtype: float32 - name: '243' dtype: float32 - name: '244' dtype: float32 - name: '245' dtype: float32 - name: '246' dtype: float32 - name: '247' dtype: float32 - name: '248' dtype: float32 - name: '249' dtype: float32 - name: '250' dtype: float32 - name: '251' dtype: float32 - name: '252' dtype: float32 - name: '253' dtype: float32 - name: '254' dtype: float32 - name: '255' dtype: float32 - name: '256' dtype: float32 - name: '257' dtype: float32 - name: '258' dtype: float32 - name: '259' dtype: float32 - name: '260' dtype: float32 - name: '261' dtype: float32 - name: '262' dtype: float32 - name: '263' dtype: float32 - name: '264' dtype: float32 - name: '265' dtype: float32 - name: '266' dtype: float32 - name: '267' dtype: float32 - name: '268' dtype: float32 - name: '269' dtype: float32 - name: '270' dtype: float32 - name: '271' dtype: float32 - name: '272' dtype: float32 - name: '273' dtype: float32 - name: '274' dtype: float32 - name: '275' dtype: float32 - name: '276' dtype: float32 - name: '277' dtype: float32 - name: '278' dtype: float32 - name: '279' dtype: float32 - name: '280' dtype: float32 - name: '281' dtype: float32 - name: '282' dtype: float32 - name: '283' dtype: float32 - name: '284' dtype: float32 - name: '285' dtype: float32 - name: '286' dtype: float32 - name: '287' dtype: float32 - name: '288' dtype: float32 - name: '289' dtype: float32 - name: '290' dtype: float32 - name: '291' dtype: float32 - name: '292' dtype: float32 - name: '293' dtype: float32 - name: '294' dtype: float32 - name: '295' dtype: float32 - name: '296' dtype: float32 - name: '297' dtype: float32 - name: '298' dtype: float32 - name: '299' dtype: float32 - name: '300' dtype: float32 - name: '301' dtype: float32 - name: '302' dtype: float32 - name: '303' dtype: float32 - name: '304' dtype: float32 - name: '305' dtype: float32 - name: '306' dtype: float32 - name: '307' dtype: float32 - name: '308' dtype: float32 - name: '309' dtype: float32 - name: '310' dtype: float32 - name: '311' dtype: float32 - name: '312' dtype: float32 - name: '313' dtype: float32 - name: '314' dtype: float32 - name: '315' dtype: float32 - name: '316' dtype: float32 - name: '317' dtype: float32 - name: '318' dtype: float32 - name: '319' dtype: float32 - name: '320' dtype: float32 - name: '321' dtype: float32 - name: '322' dtype: float32 - name: '323' dtype: float32 - name: '324' dtype: float32 - name: '325' dtype: float32 - name: '326' dtype: float32 - name: '327' dtype: float32 - name: '328' dtype: float32 - name: '329' dtype: float32 - name: '330' dtype: float32 - name: '331' dtype: float32 - name: '332' dtype: float32 - name: '333' dtype: float32 - name: '334' dtype: float32 - name: '335' dtype: float32 - name: '336' dtype: float32 - name: '337' dtype: float32 - name: '338' dtype: float32 - name: '339' dtype: float32 - name: '340' dtype: float32 - name: '341' dtype: float32 - name: '342' dtype: float32 - name: '343' dtype: float32 - name: '344' dtype: float32 - name: '345' dtype: float32 - name: '346' dtype: float32 - name: '347' dtype: float32 - name: '348' dtype: float32 - name: '349' dtype: float32 - name: '350' dtype: float32 - name: '351' dtype: float32 - name: '352' dtype: float32 - name: '353' dtype: float32 - name: '354' dtype: float32 - name: '355' dtype: float32 - name: '356' dtype: float32 - name: '357' dtype: float32 - name: '358' dtype: float32 - name: '359' dtype: float32 - name: '360' dtype: float32 - name: '361' dtype: float32 - name: '362' dtype: float32 - name: '363' dtype: float32 - name: '364' dtype: float32 - name: '365' dtype: float32 - name: '366' dtype: float32 - name: '367' dtype: float32 - name: '368' dtype: float32 - name: '369' dtype: float32 - name: '370' dtype: float32 - name: '371' dtype: float32 - name: '372' dtype: float32 - name: '373' dtype: float32 - name: '374' dtype: float32 - name: '375' dtype: float32 - name: '376' dtype: float32 - name: '377' dtype: float32 - name: '378' dtype: float32 - name: '379' dtype: float32 - name: '380' dtype: float32 - name: '381' dtype: float32 - name: '382' dtype: float32 - name: '383' dtype: float32 - name: '384' dtype: float32 - name: '385' dtype: float32 - name: '386' dtype: float32 - name: '387' dtype: float32 - name: '388' dtype: float32 - name: '389' dtype: float32 - name: '390' dtype: float32 - name: '391' dtype: float32 - name: '392' dtype: float32 - name: '393' dtype: float32 - name: '394' dtype: float32 - name: '395' dtype: float32 - name: '396' dtype: float32 - name: '397' dtype: float32 - name: '398' dtype: float32 - name: '399' dtype: float32 - name: '400' dtype: float32 - name: '401' dtype: float32 - name: '402' dtype: float32 - name: '403' dtype: float32 - name: '404' dtype: float32 - name: '405' dtype: float32 - name: '406' dtype: float32 - name: '407' dtype: float32 - name: '408' dtype: float32 - name: '409' dtype: float32 - name: '410' dtype: float32 - name: '411' dtype: float32 - name: '412' dtype: float32 - name: '413' dtype: float32 - name: '414' dtype: float32 - name: '415' dtype: float32 - name: '416' dtype: float32 - name: '417' dtype: float32 - name: '418' dtype: float32 - name: '419' dtype: float32 - name: '420' dtype: float32 - name: '421' dtype: float32 - name: '422' dtype: float32 - name: '423' dtype: float32 - name: '424' dtype: float32 - name: '425' dtype: float32 - name: '426' dtype: float32 - name: '427' dtype: float32 - name: '428' dtype: float32 - name: '429' dtype: float32 - name: '430' dtype: float32 - name: '431' dtype: float32 - name: '432' dtype: float32 - name: '433' dtype: float32 - name: '434' dtype: float32 - name: '435' dtype: float32 - name: '436' dtype: float32 - name: '437' dtype: float32 - name: '438' dtype: float32 - name: '439' dtype: float32 - name: '440' dtype: float32 - name: '441' dtype: float32 - name: '442' dtype: float32 - name: '443' dtype: float32 - name: '444' dtype: float32 - name: '445' dtype: float32 - name: '446' dtype: float32 - name: '447' dtype: float32 - name: '448' dtype: float32 - name: '449' dtype: float32 - name: '450' dtype: float32 - name: '451' dtype: float32 - name: '452' dtype: float32 - name: '453' dtype: float32 - name: '454' dtype: float32 - name: '455' dtype: float32 - name: '456' dtype: float32 - name: '457' dtype: float32 - name: '458' dtype: float32 - name: '459' dtype: float32 - name: '460' dtype: float32 - name: '461' dtype: float32 - name: '462' dtype: float32 - name: '463' dtype: float32 - name: '464' dtype: float32 - name: '465' dtype: float32 - name: '466' dtype: float32 - name: '467' dtype: float32 - name: '468' dtype: float32 - name: '469' dtype: float32 - name: '470' dtype: float32 - name: '471' dtype: float32 - name: '472' dtype: float32 - name: '473' dtype: float32 - name: '474' dtype: float32 - name: '475' dtype: float32 - name: '476' dtype: float32 - name: '477' dtype: float32 - name: '478' dtype: float32 - name: '479' dtype: float32 - name: '480' dtype: float32 - name: '481' dtype: float32 - name: '482' dtype: float32 - name: '483' dtype: float32 - name: '484' dtype: float32 - name: '485' dtype: float32 - name: '486' dtype: float32 - name: '487' dtype: float32 - name: '488' dtype: float32 - name: '489' dtype: float32 - name: '490' dtype: float32 - name: '491' dtype: float32 - name: '492' dtype: float32 - name: '493' dtype: float32 - name: '494' dtype: float32 - name: '495' dtype: float32 - name: '496' dtype: float32 - name: '497' dtype: float32 - name: '498' dtype: float32 - name: '499' dtype: float32 - name: '500' dtype: float32 - name: '501' dtype: float32 - name: '502' dtype: float32 - name: '503' dtype: float32 - name: '504' dtype: float32 - name: '505' dtype: float32 - name: '506' dtype: float32 - name: '507' dtype: float32 - name: '508' dtype: float32 - name: '509' dtype: float32 - name: '510' dtype: float32 - name: '511' dtype: float32 - name: '512' dtype: float32 - name: '513' dtype: float32 - name: '514' dtype: float32 - name: '515' dtype: float32 - name: '516' dtype: float32 - name: '517' dtype: float32 - name: '518' dtype: float32 - name: '519' dtype: float32 - name: '520' dtype: float32 - name: '521' dtype: float32 - name: '522' dtype: float32 - name: '523' dtype: float32 - name: '524' dtype: float32 - name: '525' dtype: float32 - name: '526' dtype: float32 - name: '527' dtype: float32 - name: '528' dtype: float32 - name: '529' dtype: float32 - name: '530' dtype: float32 - name: '531' dtype: float32 - name: '532' dtype: float32 - name: '533' dtype: float32 - name: '534' dtype: float32 - name: '535' dtype: float32 - name: '536' dtype: float32 - name: '537' dtype: float32 - name: '538' dtype: float32 - name: '539' dtype: float32 - name: '540' dtype: float32 - name: '541' dtype: float32 - name: '542' dtype: float32 - name: '543' dtype: float32 - name: '544' dtype: float32 - name: '545' dtype: float32 - name: '546' dtype: float32 - name: '547' dtype: float32 - name: '548' dtype: float32 - name: '549' dtype: float32 - name: '550' dtype: float32 - name: '551' dtype: float32 - name: '552' dtype: float32 - name: '553' dtype: float32 - name: '554' dtype: float32 - name: '555' dtype: float32 - name: '556' dtype: float32 - name: '557' dtype: float32 - name: '558' dtype: float32 - name: '559' dtype: float32 - name: '560' dtype: float32 - name: '561' dtype: float32 - name: '562' dtype: float32 - name: '563' dtype: float32 - name: '564' dtype: float32 - name: '565' dtype: float32 - name: '566' dtype: float32 - name: '567' dtype: float32 - name: '568' dtype: float32 - name: '569' dtype: float32 - name: '570' dtype: float32 - name: '571' dtype: float32 - name: '572' dtype: float32 - name: '573' dtype: float32 - name: '574' dtype: float32 - name: '575' dtype: float32 - name: '576' dtype: float32 - name: '577' dtype: float32 - name: '578' dtype: float32 - name: '579' dtype: float32 - name: '580' dtype: float32 - name: '581' dtype: float32 - name: '582' dtype: float32 - name: '583' dtype: float32 - name: '584' dtype: float32 - name: '585' dtype: float32 - name: '586' dtype: float32 - name: '587' dtype: float32 - name: '588' dtype: float32 - name: '589' dtype: float32 - name: '590' dtype: float32 - name: '591' dtype: float32 - name: '592' dtype: float32 - name: '593' dtype: float32 - name: '594' dtype: float32 - name: '595' dtype: float32 - name: '596' dtype: float32 - name: '597' dtype: float32 - name: '598' dtype: float32 - name: '599' dtype: float32 - name: '600' dtype: float32 - name: '601' dtype: float32 - name: '602' dtype: float32 - name: '603' dtype: float32 - name: '604' dtype: float32 - name: '605' dtype: float32 - name: '606' dtype: float32 - name: '607' dtype: float32 - name: '608' dtype: float32 - name: '609' dtype: float32 - name: '610' dtype: float32 - name: '611' dtype: float32 - name: '612' dtype: float32 - name: '613' dtype: float32 - name: '614' dtype: float32 - name: '615' dtype: float32 - name: '616' dtype: float32 - name: '617' dtype: float32 - name: '618' dtype: float32 - name: '619' dtype: float32 - name: '620' dtype: float32 - name: '621' dtype: float32 - name: '622' dtype: float32 - name: '623' dtype: float32 - name: '624' dtype: float32 - name: '625' dtype: float32 - name: '626' dtype: float32 - name: '627' dtype: float32 - name: '628' dtype: float32 - name: '629' dtype: float32 - name: '630' dtype: float32 - name: '631' dtype: float32 - name: '632' dtype: float32 - name: '633' dtype: float32 - name: '634' dtype: float32 - name: '635' dtype: float32 - name: '636' dtype: float32 - name: '637' dtype: float32 - name: '638' dtype: float32 - name: '639' dtype: float32 - name: '640' dtype: float32 - name: '641' dtype: float32 - name: '642' dtype: float32 - name: '643' dtype: float32 - name: '644' dtype: float32 - name: '645' dtype: float32 - name: '646' dtype: float32 - name: '647' dtype: float32 - name: '648' dtype: float32 - name: '649' dtype: float32 - name: '650' dtype: float32 - name: '651' dtype: float32 - name: '652' dtype: float32 - name: '653' dtype: float32 - name: '654' dtype: float32 - name: '655' dtype: float32 - name: '656' dtype: float32 - name: '657' dtype: float32 - name: '658' dtype: float32 - name: '659' dtype: float32 - name: '660' dtype: float32 - name: '661' dtype: float32 - name: '662' dtype: float32 - name: '663' dtype: float32 - name: '664' dtype: float32 - name: '665' dtype: float32 - name: '666' dtype: float32 - name: '667' dtype: float32 - name: '668' dtype: float32 - name: '669' dtype: float32 - name: '670' dtype: float32 - name: '671' dtype: float32 - name: '672' dtype: float32 - name: '673' dtype: float32 - name: '674' dtype: float32 - name: '675' dtype: float32 - name: '676' dtype: float32 - name: '677' dtype: float32 - name: '678' dtype: float32 - name: '679' dtype: float32 - name: '680' dtype: float32 - name: '681' dtype: float32 - name: '682' dtype: float32 - name: '683' dtype: float32 - name: '684' dtype: float32 - name: '685' dtype: float32 - name: '686' dtype: float32 - name: '687' dtype: float32 - name: '688' dtype: float32 - name: '689' dtype: float32 - name: '690' dtype: float32 - name: '691' dtype: float32 - name: '692' dtype: float32 - name: '693' dtype: float32 - name: '694' dtype: float32 - name: '695' dtype: float32 - name: '696' dtype: float32 - name: '697' dtype: float32 - name: '698' dtype: float32 - name: '699' dtype: float32 - name: '700' dtype: float32 - name: '701' dtype: float32 - name: '702' dtype: float32 - name: '703' dtype: float32 - name: '704' dtype: float32 - name: '705' dtype: float32 - name: '706' dtype: float32 - name: '707' dtype: float32 - name: '708' dtype: float32 - name: '709' dtype: float32 - name: '710' dtype: float32 - name: '711' dtype: float32 - name: '712' dtype: float32 - name: '713' dtype: float32 - name: '714' dtype: float32 - name: '715' dtype: float32 - name: '716' dtype: float32 - name: '717' dtype: float32 - name: '718' dtype: float32 - name: '719' dtype: float32 - name: '720' dtype: float32 - name: '721' dtype: float32 - name: '722' dtype: float32 - name: '723' dtype: float32 - name: '724' dtype: float32 - name: '725' dtype: float32 - name: '726' dtype: float32 - name: '727' dtype: float32 - name: '728' dtype: float32 - name: '729' dtype: float32 - name: '730' dtype: float32 - name: '731' dtype: float32 - name: '732' dtype: float32 - name: '733' dtype: float32 - name: '734' dtype: float32 - name: '735' dtype: float32 - name: '736' dtype: float32 - name: '737' dtype: float32 - name: '738' dtype: float32 - name: '739' dtype: float32 - name: '740' dtype: float32 - name: '741' dtype: float32 - name: '742' dtype: float32 - name: '743' dtype: float32 - name: '744' dtype: float32 - name: '745' dtype: float32 - name: '746' dtype: float32 - name: '747' dtype: float32 - name: '748' dtype: float32 - name: '749' dtype: float32 - name: '750' dtype: float32 - name: '751' dtype: float32 - name: '752' dtype: float32 - name: '753' dtype: float32 - name: '754' dtype: float32 - name: '755' dtype: float32 - name: '756' dtype: float32 - name: '757' dtype: float32 - name: '758' dtype: float32 - name: '759' dtype: float32 - name: '760' dtype: float32 - name: '761' dtype: float32 - name: '762' dtype: float32 - name: '763' dtype: float32 - name: '764' dtype: float32 - name: '765' dtype: float32 - name: '766' dtype: float32 - name: '767' dtype: float32 - name: label dtype: string splits: - name: train num_bytes: 115582709.0625 num_examples: 37500 - name: test num_bytes: 38527570.0 num_examples: 12500 download_size: 211883223 dataset_size: 154110279.0625 --- # Dataset Card for "BGL_RoBERTa_Baseline" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

ZelaAI/lj_speech_2048

--- dataset_info: features: - name: text_tokens sequence: int64 - name: audio_tokens_1 sequence: int64 - name: audio_tokens_2 sequence: int64 splits: - name: train num_bytes: 163157868 num_examples: 3331 download_size: 17054634 dataset_size: 163157868 --- # Dataset Card for "lj_speech_2048" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

lucasroberto125/Lessa1

--- license: artistic-2.0 ---

CyberHarem/izayoi_sakuya_touhou

--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of izayoi_sakuya/いざよいさくや/十六夜咲夜/이자요이사쿠야 (Touhou) This is the dataset of izayoi_sakuya/いざよいさくや/十六夜咲夜/이자요이사쿠야 (Touhou), containing 500 images and their tags. The core tags of this character are `braid, twin_braids, maid_headdress, short_hair, grey_hair, bow, hair_bow, blue_eyes, bangs, breasts, ribbon, green_bow, hair_between_eyes, white_hair`, which are pruned in this dataset. Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)). ## List of Packages | Name | Images | Size | Download | Type | Description | |:-----------------|---------:|:-----------|:----------------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------| | raw | 500 | 809.03 MiB | [Download](https://huggingface.co/datasets/CyberHarem/izayoi_sakuya_touhou/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | | 800 | 500 | 465.02 MiB | [Download](https://huggingface.co/datasets/CyberHarem/izayoi_sakuya_touhou/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. | | stage3-p480-800 | 1213 | 941.00 MiB | [Download](https://huggingface.co/datasets/CyberHarem/izayoi_sakuya_touhou/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | | 1200 | 500 | 714.48 MiB | [Download](https://huggingface.co/datasets/CyberHarem/izayoi_sakuya_touhou/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. | | stage3-p480-1200 | 1213 | 1.27 GiB | [Download](https://huggingface.co/datasets/CyberHarem/izayoi_sakuya_touhou/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | ### Load Raw Dataset with Waifuc We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code ```python import os import zipfile from huggingface_hub import hf_hub_download from waifuc.source import LocalSource # download raw archive file zip_file = hf_hub_download( repo_id='CyberHarem/izayoi_sakuya_touhou', repo_type='dataset', filename='dataset-raw.zip', ) # extract files to your directory dataset_dir = 'dataset_dir' os.makedirs(dataset_dir, exist_ok=True) with zipfile.ZipFile(zip_file, 'r') as zf: zf.extractall(dataset_dir) # load the dataset with waifuc source = LocalSource(dataset_dir) for item in source: print(item.image, item.meta['filename'], item.meta['tags']) ``` ## List of Clusters List of tag clustering result, maybe some outfits can be mined here. ### Raw Text Version | # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | Tags | |----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | 0 | 12 | ![](samples/0/clu0-sample0.png) | ![](samples/0/clu0-sample1.png) | ![](samples/0/clu0-sample2.png) | ![](samples/0/clu0-sample3.png) | ![](samples/0/clu0-sample4.png) | 1girl, looking_at_viewer, maid, solo, waist_apron, blue_dress, knife, puffy_short_sleeves, holding, red_eyes, wrist_cuffs | | 1 | 24 | ![](samples/1/clu1-sample0.png) | ![](samples/1/clu1-sample1.png) | ![](samples/1/clu1-sample2.png) | ![](samples/1/clu1-sample3.png) | ![](samples/1/clu1-sample4.png) | 1girl, blue_dress, looking_at_viewer, maid_apron, puffy_short_sleeves, solo, waist_apron, white_apron, weapon, holding_knife, white_shirt, frilled_apron, red_eyes, closed_mouth, medium_breasts, wrist_cuffs, between_fingers, cowboy_shot, standing | | 2 | 5 | ![](samples/2/clu2-sample0.png) | ![](samples/2/clu2-sample1.png) | ![](samples/2/clu2-sample2.png) | ![](samples/2/clu2-sample3.png) | ![](samples/2/clu2-sample4.png) | 1girl, blue_dress, holding_knife, looking_at_viewer, puffy_short_sleeves, simple_background, solo, waist_apron, white_background, between_fingers, white_apron, black_pantyhose, frills, maid_apron, medium_breasts, closed_mouth, large_breasts, shoes, white_shirt, wrist_cuffs | | 3 | 8 | ![](samples/3/clu3-sample0.png) | ![](samples/3/clu3-sample1.png) | ![](samples/3/clu3-sample2.png) | ![](samples/3/clu3-sample3.png) | ![](samples/3/clu3-sample4.png) | 1girl, knife, maid, solo, apron, red_eyes, fingerless_gloves | | 4 | 6 | ![](samples/4/clu4-sample0.png) | ![](samples/4/clu4-sample1.png) | ![](samples/4/clu4-sample2.png) | ![](samples/4/clu4-sample3.png) | ![](samples/4/clu4-sample4.png) | 1girl, solo, lingerie, looking_at_viewer, navel, on_back, open_shirt, maid, thighhighs, white_bra, white_panties | ### Table Version | # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | looking_at_viewer | maid | solo | waist_apron | blue_dress | knife | puffy_short_sleeves | holding | red_eyes | wrist_cuffs | maid_apron | white_apron | weapon | holding_knife | white_shirt | frilled_apron | closed_mouth | medium_breasts | between_fingers | cowboy_shot | standing | simple_background | white_background | black_pantyhose | frills | large_breasts | shoes | apron | fingerless_gloves | lingerie | navel | on_back | open_shirt | thighhighs | white_bra | white_panties | |----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:--------------------|:-------|:-------|:--------------|:-------------|:--------|:----------------------|:----------|:-----------|:--------------|:-------------|:--------------|:---------|:----------------|:--------------|:----------------|:---------------|:-----------------|:------------------|:--------------|:-----------|:--------------------|:-------------------|:------------------|:---------|:----------------|:--------|:--------|:--------------------|:-----------|:--------|:----------|:-------------|:-------------|:------------|:----------------| | 0 | 12 | ![](samples/0/clu0-sample0.png) | ![](samples/0/clu0-sample1.png) | ![](samples/0/clu0-sample2.png) | ![](samples/0/clu0-sample3.png) | ![](samples/0/clu0-sample4.png) | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | 1 | 24 | ![](samples/1/clu1-sample0.png) | ![](samples/1/clu1-sample1.png) | ![](samples/1/clu1-sample2.png) | ![](samples/1/clu1-sample3.png) | ![](samples/1/clu1-sample4.png) | X | X | | X | X | X | | X | | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | 2 | 5 | ![](samples/2/clu2-sample0.png) | ![](samples/2/clu2-sample1.png) | ![](samples/2/clu2-sample2.png) | ![](samples/2/clu2-sample3.png) | ![](samples/2/clu2-sample4.png) | X | X | | X | X | X | | X | | | X | X | X | | X | X | | X | X | X | | | X | X | X | X | X | X | | | | | | | | | | | 3 | 8 | ![](samples/3/clu3-sample0.png) | ![](samples/3/clu3-sample1.png) | ![](samples/3/clu3-sample2.png) | ![](samples/3/clu3-sample3.png) | ![](samples/3/clu3-sample4.png) | X | | X | X | | | X | | | X | | | | | | | | | | | | | | | | | | | X | X | | | | | | | | | 4 | 6 | ![](samples/4/clu4-sample0.png) | ![](samples/4/clu4-sample1.png) | ![](samples/4/clu4-sample2.png) | ![](samples/4/clu4-sample3.png) | ![](samples/4/clu4-sample4.png) | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X |

Mohammad019/mib_resume_1.0

--- dataset_info: features: - name: text dtype: string - name: label dtype: string splits: - name: train num_bytes: 9253747.770933978 num_examples: 1987 - name: test num_bytes: 1154972.041867955 num_examples: 248 - name: validation num_bytes: 1159629.1871980675 num_examples: 249 download_size: 5335612 dataset_size: 11568349.0 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* - split: validation path: data/validation-* ---

open-llm-leaderboard/details_heegyu__LIMA-13b-hf

--- pretty_name: Evaluation run of heegyu/LIMA-13b-hf dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [heegyu/LIMA-13b-hf](https://huggingface.co/heegyu/LIMA-13b-hf) 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_heegyu__LIMA-13b-hf\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-10-22T00:08:39.312434](https://huggingface.co/datasets/open-llm-leaderboard/details_heegyu__LIMA-13b-hf/blob/main/results_2023-10-22T00-08-39.312434.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\": 0.0020973154362416107,\n\ \ \"em_stderr\": 0.000468506503036833,\n \"f1\": 0.05783347315436248,\n\ \ \"f1_stderr\": 0.0013197558360646307,\n \"acc\": 0.4303028471618438,\n\ \ \"acc_stderr\": 0.009812237277361156\n },\n \"harness|drop|3\": {\n\ \ \"em\": 0.0020973154362416107,\n \"em_stderr\": 0.000468506503036833,\n\ \ \"f1\": 0.05783347315436248,\n \"f1_stderr\": 0.0013197558360646307\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.0887035633055345,\n \ \ \"acc_stderr\": 0.00783145873705871\n },\n \"harness|winogrande|5\":\ \ {\n \"acc\": 0.7719021310181531,\n \"acc_stderr\": 0.0117930158176636\n\ \ }\n}\n```" repo_url: https://huggingface.co/heegyu/LIMA-13b-hf 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_08_17T19_40_51.725558 path: - '**/details_harness|arc:challenge|25_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2023-08-17T19:40:51.725558.parquet' - config_name: harness_drop_3 data_files: - split: 2023_10_22T00_08_39.312434 path: - '**/details_harness|drop|3_2023-10-22T00-08-39.312434.parquet' - split: latest path: - '**/details_harness|drop|3_2023-10-22T00-08-39.312434.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_10_22T00_08_39.312434 path: - '**/details_harness|gsm8k|5_2023-10-22T00-08-39.312434.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2023-10-22T00-08-39.312434.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_08_17T19_40_51.725558 path: - '**/details_harness|hellaswag|10_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-management|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-management|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-08-17T19:40:51.725558.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '**/details_harness|hendrycksTest-international_law|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '**/details_harness|hendrycksTest-management|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '**/details_harness|hendrycksTest-marketing|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '**/details_harness|hendrycksTest-sociology|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '**/details_harness|hendrycksTest-virology|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_08_17T19_40_51.725558 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2023-08-17T19:40:51.725558.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_08_17T19_40_51.725558 path: - '**/details_harness|truthfulqa:mc|0_2023-08-17T19:40:51.725558.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2023-08-17T19:40:51.725558.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_10_22T00_08_39.312434 path: - '**/details_harness|winogrande|5_2023-10-22T00-08-39.312434.parquet' - split: latest path: - '**/details_harness|winogrande|5_2023-10-22T00-08-39.312434.parquet' - config_name: results data_files: - split: 2023_08_17T19_40_51.725558 path: - results_2023-08-17T19:40:51.725558.parquet - split: 2023_10_22T00_08_39.312434 path: - results_2023-10-22T00-08-39.312434.parquet - split: latest path: - results_2023-10-22T00-08-39.312434.parquet --- # Dataset Card for Evaluation run of heegyu/LIMA-13b-hf ## Dataset Description - **Homepage:** - **Repository:** https://huggingface.co/heegyu/LIMA-13b-hf - **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 [heegyu/LIMA-13b-hf](https://huggingface.co/heegyu/LIMA-13b-hf) 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_heegyu__LIMA-13b-hf", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-10-22T00:08:39.312434](https://huggingface.co/datasets/open-llm-leaderboard/details_heegyu__LIMA-13b-hf/blob/main/results_2023-10-22T00-08-39.312434.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": 0.0020973154362416107, "em_stderr": 0.000468506503036833, "f1": 0.05783347315436248, "f1_stderr": 0.0013197558360646307, "acc": 0.4303028471618438, "acc_stderr": 0.009812237277361156 }, "harness|drop|3": { "em": 0.0020973154362416107, "em_stderr": 0.000468506503036833, "f1": 0.05783347315436248, "f1_stderr": 0.0013197558360646307 }, "harness|gsm8k|5": { "acc": 0.0887035633055345, "acc_stderr": 0.00783145873705871 }, "harness|winogrande|5": { "acc": 0.7719021310181531, "acc_stderr": 0.0117930158176636 } } ``` ### 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]

open-llm-leaderboard/details_TheBloke__Llama-2-13B-fp16

--- pretty_name: Evaluation run of TheBloke/Llama-2-13B-fp16 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [TheBloke/Llama-2-13B-fp16](https://huggingface.co/TheBloke/Llama-2-13B-fp16)\ \ 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_TheBloke__Llama-2-13B-fp16\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-10-22T22:53:07.629534](https://huggingface.co/datasets/open-llm-leaderboard/details_TheBloke__Llama-2-13B-fp16/blob/main/results_2023-10-22T22-53-07.629534.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\": 0.0014681208053691276,\n\ \ \"em_stderr\": 0.00039210421902982666,\n \"f1\": 0.0607822986577181,\n\ \ \"f1_stderr\": 0.0013583957676382913,\n \"acc\": 0.43739636770101,\n\ \ \"acc_stderr\": 0.010228023491905505\n },\n \"harness|drop|3\": {\n\ \ \"em\": 0.0014681208053691276,\n \"em_stderr\": 0.00039210421902982666,\n\ \ \"f1\": 0.0607822986577181,\n \"f1_stderr\": 0.0013583957676382913\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.10841546626231995,\n \ \ \"acc_stderr\": 0.008563852506627487\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.7663772691397001,\n \"acc_stderr\": 0.011892194477183524\n\ \ }\n}\n```" repo_url: https://huggingface.co/TheBloke/Llama-2-13B-fp16 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_07_24T15_08_39.202746 path: - '**/details_harness|arc:challenge|25_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2023-07-24T15:08:39.202746.parquet' - config_name: harness_drop_3 data_files: - split: 2023_10_22T22_53_07.629534 path: - '**/details_harness|drop|3_2023-10-22T22-53-07.629534.parquet' - split: latest path: - '**/details_harness|drop|3_2023-10-22T22-53-07.629534.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_10_22T22_53_07.629534 path: - '**/details_harness|gsm8k|5_2023-10-22T22-53-07.629534.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2023-10-22T22-53-07.629534.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_07_24T15_08_39.202746 path: - '**/details_harness|hellaswag|10_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-management|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-management|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-07-24T15:08:39.202746.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '**/details_harness|hendrycksTest-international_law|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '**/details_harness|hendrycksTest-management|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '**/details_harness|hendrycksTest-marketing|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '**/details_harness|hendrycksTest-sociology|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '**/details_harness|hendrycksTest-virology|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_07_24T15_08_39.202746 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2023-07-24T15:08:39.202746.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_07_24T15_08_39.202746 path: - '**/details_harness|truthfulqa:mc|0_2023-07-24T15:08:39.202746.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2023-07-24T15:08:39.202746.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_10_22T22_53_07.629534 path: - '**/details_harness|winogrande|5_2023-10-22T22-53-07.629534.parquet' - split: latest path: - '**/details_harness|winogrande|5_2023-10-22T22-53-07.629534.parquet' - config_name: results data_files: - split: 2023_07_24T15_08_39.202746 path: - results_2023-07-24T15:08:39.202746.parquet - split: 2023_10_22T22_53_07.629534 path: - results_2023-10-22T22-53-07.629534.parquet - split: latest path: - results_2023-10-22T22-53-07.629534.parquet --- # Dataset Card for Evaluation run of TheBloke/Llama-2-13B-fp16 ## Dataset Description - **Homepage:** - **Repository:** https://huggingface.co/TheBloke/Llama-2-13B-fp16 - **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 [TheBloke/Llama-2-13B-fp16](https://huggingface.co/TheBloke/Llama-2-13B-fp16) 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_TheBloke__Llama-2-13B-fp16", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-10-22T22:53:07.629534](https://huggingface.co/datasets/open-llm-leaderboard/details_TheBloke__Llama-2-13B-fp16/blob/main/results_2023-10-22T22-53-07.629534.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": 0.0014681208053691276, "em_stderr": 0.00039210421902982666, "f1": 0.0607822986577181, "f1_stderr": 0.0013583957676382913, "acc": 0.43739636770101, "acc_stderr": 0.010228023491905505 }, "harness|drop|3": { "em": 0.0014681208053691276, "em_stderr": 0.00039210421902982666, "f1": 0.0607822986577181, "f1_stderr": 0.0013583957676382913 }, "harness|gsm8k|5": { "acc": 0.10841546626231995, "acc_stderr": 0.008563852506627487 }, "harness|winogrande|5": { "acc": 0.7663772691397001, "acc_stderr": 0.011892194477183524 } } ``` ### 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]

modelloosrvcc/Announcer

--- license: openrail ---

e2e_nlg

--- annotations_creators: - crowdsourced language_creators: - crowdsourced language: - en license: - cc-by-sa-4.0 multilinguality: - monolingual size_categories: - 10K<n<100K source_datasets: - original task_categories: - text2text-generation task_ids: [] paperswithcode_id: e2e pretty_name: End-to-End NLG Challenge tags: - meaning-representation-to-text dataset_info: features: - name: meaning_representation dtype: string - name: human_reference dtype: string splits: - name: train num_bytes: 9435824 num_examples: 42061 - name: validation num_bytes: 1171723 num_examples: 4672 - name: test num_bytes: 1320205 num_examples: 4693 download_size: 11812316 dataset_size: 11927752 --- # Dataset Card for End-to-End NLG Challenge ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [Contributions](#contributions) ## Dataset Description - **Homepage:** [homepage](http://www.macs.hw.ac.uk/InteractionLab/E2E/) - **Repository:** [repository](https://github.com/tuetschek/e2e-dataset/) - **Paper:** [paper](https://arxiv.org/abs/1706.09254) - **Leaderboard:** [leaderboard](http://www.macs.hw.ac.uk/InteractionLab/E2E/) ### Dataset Summary The E2E dataset is used for training end-to-end, data-driven natural language generation systems in the restaurant domain, which is ten times bigger than existing, frequently used datasets in this area. The E2E dataset poses new challenges: (1) its human reference texts show more lexical richness and syntactic variation, including discourse phenomena; (2) generating from this set requires content selection. As such, learning from this dataset promises more natural, varied and less template-like system utterances. E2E is released in the following paper where you can find more details and baseline results: https://arxiv.org/abs/1706.09254 ### Supported Tasks and Leaderboards - `text2text-generation-other-meaning-representation-to-text`: The dataset can be used to train a model to generate descriptions in the restaurant domain from meaning representations, which consists in taking as input some data about a restaurant and generate a sentence in natural language that presents the different aspects of the data about the restaurant.. Success on this task is typically measured by achieving a *high* [BLEU](https://huggingface.co/metrics/bleu), [NIST](https://huggingface.co/metrics/nist), [METEOR](https://huggingface.co/metrics/meteor), [Rouge-L](https://huggingface.co/metrics/rouge), [CIDEr](https://huggingface.co/metrics/cider). The TGen model (Dusek and Jurcıcek, 2016a) was used a baseline, had the following scores: | | BLEU | NIST | METEOR | ROUGE_L | CIDEr | | -------- | ------ | ------ | ------ | ------- | ------ | | BASELINE | 0.6593 | 8.6094 | 0.4483 | 0.6850 | 2.2338 | This task has an inactive leaderboard which can be found [here](http://www.macs.hw.ac.uk/InteractionLab/E2E/) and ranks models based on the metrics above. ### Languages The dataset is in english (en). ## Dataset Structure ### Data Instances Example of one instance: ``` {'human_reference': 'The Vaults pub near Café Adriatic has a 5 star rating. Prices start at £30.', 'meaning_representation': 'name[The Vaults], eatType[pub], priceRange[more than £30], customer rating[5 out of 5], near[Café Adriatic]'} ``` ### Data Fields - `human_reference`: string, the text is natural language that describes the different characteristics in the meaning representation - `meaning_representation`: list of slots and values to generate a description from Each MR consists of 3–8 attributes (slots), such as name, food or area, and their values. ### Data Splits The dataset is split into training, validation and testing sets (in a 76.5-8.5-15 ratio), keeping a similar distribution of MR and reference text lengths and ensuring that MRs in different sets are distinct. | | train | validation | test | | ----- |-------:|------------:|------:| | N. Instances | 42061 | 4672 | 4693 | ## Dataset Creation ### Curation Rationale [More Information Needed] ### Source Data [More Information Needed] #### Initial Data Collection and Normalization The data was collected using the CrowdFlower platform and quality-controlled following Novikova et al. (2016). #### Who are the source language producers? [More Information Needed] ### Annotations Following Novikova et al. (2016), the E2E data was collected using pictures as stimuli, which was shown to elicit significantly more natural, more informative, and better phrased human references than textual MRs. #### 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 ``` @article{dusek.etal2020:csl, title = {Evaluating the {{State}}-of-the-{{Art}} of {{End}}-to-{{End Natural Language Generation}}: {{The E2E NLG Challenge}}}, author = {Du{\v{s}}ek, Ond\v{r}ej and Novikova, Jekaterina and Rieser, Verena}, year = {2020}, month = jan, volume = {59}, pages = {123--156}, doi = {10.1016/j.csl.2019.06.009}, archivePrefix = {arXiv}, eprint = {1901.11528}, eprinttype = {arxiv}, journal = {Computer Speech \& Language} ``` ### Contributions Thanks to [@lhoestq](https://github.com/lhoestq) for adding this dataset.

Tngarg/chinese_test

--- dataset_info: features: - name: 'Unnamed: 0' dtype: int64 - name: tweet dtype: string - name: sentiment dtype: string - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 1574339 num_examples: 11513 download_size: 1143927 dataset_size: 1574339 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "chinese_test" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

vwxyzjn/ultrachat_200k_filtered_1707919621

--- dataset_info: features: - name: prompt dtype: string - name: prompt_id dtype: string - name: messages list: - name: content dtype: string - name: role dtype: string - name: query_reference_response list: - name: content dtype: string - name: role dtype: string - name: query_reference_response_token sequence: int64 - name: query_reference_response_token_len dtype: int64 - name: query list: - name: content dtype: string - name: role dtype: string - name: query_token sequence: int64 - name: query_token_len dtype: int64 - name: reference_response struct: - name: content dtype: string - name: role dtype: string - name: reference_response_token sequence: int64 - name: reference_response_token_len dtype: int64 splits: - name: test_gen num_bytes: 30484069 num_examples: 1000 - name: test_sft num_bytes: 39592502 num_examples: 1000 - name: train_gen num_bytes: 29613744 num_examples: 1000 - name: train_sft num_bytes: 39521233 num_examples: 1000 download_size: 50859072 dataset_size: 139211548 --- # Args ```python {'base_model': 'mistralai/Mistral-7B-v0.1', 'check_length_correctness': True, 'debug': True, 'hf_entity': 'vwxyzjn', 'params': TaskQueryHParams(length=3000, format_str='SUBREDDIT: r/{subreddit}\n' '\n' 'TITLE: {title}\n' '\n' 'POST: {post}\n' '\n' 'TL;DR:', truncate_field='post', truncate_text='\n', padding='pad_token', pad_token=[32000], pad_side='left', max_sft_response_length=1500, max_sft_query_response_length=4500, max_rm_response_length=169, max_rm_query_response_length=638), 'push_to_hub': True} ```

freshpearYoon/train_free_2

--- dataset_info: features: - name: input_features sequence: sequence: float32 - name: labels sequence: int64 splits: - name: train num_bytes: 9604855104 num_examples: 10000 download_size: 1387232122 dataset_size: 9604855104 configs: - config_name: default data_files: - split: train path: data/train-* ---

gguichard/wsd_myriade_synth_data_gpt4turbo_val_v2

--- dataset_info: features: - name: tokens sequence: string - name: wn_sens sequence: int64 - name: input_ids sequence: int32 - name: attention_mask sequence: int8 - name: labels sequence: int64 splits: - name: train num_bytes: 466852 num_examples: 676 download_size: 111646 dataset_size: 466852 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "wsd_myriade_synth_data_gpt4turbo_val_v2" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

Falah/deep_learning_books_dataset

--- dataset_info: features: - name: page_no dtype: int64 - name: page_content dtype: string splits: - name: train num_bytes: 1030431 num_examples: 474 download_size: 509839 dataset_size: 1030431 --- # Deep Learning Books Dataset ## Dataset Information - **Features**: - `page_no`: Integer (int64) - Page number in the book. - `page_content`: String - Text content of the page. - **Splits**: - `train`: Training split. - Number of examples: 474 - Number of bytes: 1,030,431 - **Download Size**: 509,839 bytes - **Dataset Size**: 1,030,431 bytes ## Dataset Application This dataset "deep_learning_books_dataset" contains text data from various pages of books related to deep learning. It can be used for various natural language processing (NLP) tasks such as text classification, language modeling, text generation, and more. ### Using Python and Hugging Face's Transformers Library To use this dataset for NLP text generation and language modeling tasks, you can follow these steps: 1. Install the required libraries: ```python pip install datasets from datasets import load_dataset dataset = load_dataset("Falah/deep_learning_books_dataset") ``` ## Citation Please use the following citation when referencing this dataset: ``` @dataset{deep_learning_books_dataset, author = {Falah.G.Salieh}, title = {Deep Learning Books Dataset,}, year = {2023}, publisher = {HuggingFace Hub}, version = {1.0}, location = {Online}, url = {https://huggingface.co/datasets/Falah/deep_learning_books_dataset} } ``` ### Apache License: The "{Deep Learning Books Dataset" is distributed under the Apache License 2.0. The specific licensing and usage terms for this dataset can be found in the dataset repository or documentation. Please make sure to review and comply with the applicable license and usage terms before downloading and using the dataset.

fia24/augmented_bangla_money10k_80_20

--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': '1' '1': '10' '2': '100' '3': '1000' '4': '2' '5': '20' '6': '200' '7': '5' '8': '50' '9': '500' splits: - name: train num_bytes: 75522474.4 num_examples: 8000 - name: test num_bytes: 18872730.6 num_examples: 2000 download_size: 88787135 dataset_size: 94395205.0 --- # Dataset Card for "augmented_bangla_money10k_80_20" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

open-llm-leaderboard/details_macadeliccc__Mistral-7B-v0.2-OpenHermes

--- pretty_name: Evaluation run of macadeliccc/Mistral-7B-v0.2-OpenHermes dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [macadeliccc/Mistral-7B-v0.2-OpenHermes](https://huggingface.co/macadeliccc/Mistral-7B-v0.2-OpenHermes)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 63 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 (and is used to compute and display the aggregated 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_macadeliccc__Mistral-7B-v0.2-OpenHermes\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-03-27T18:19:33.883845](https://huggingface.co/datasets/open-llm-leaderboard/details_macadeliccc__Mistral-7B-v0.2-OpenHermes/blob/main/results_2024-03-27T18-19-33.883845.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\": 0.5919484433220782,\n\ \ \"acc_stderr\": 0.03315093682640097,\n \"acc_norm\": 0.6029228152554236,\n\ \ \"acc_norm_stderr\": 0.03406103831759794,\n \"mc1\": 0.2864137086903305,\n\ \ \"mc1_stderr\": 0.01582614243950236,\n \"mc2\": 0.4308666648887643,\n\ \ \"mc2_stderr\": 0.0144918724444321\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.515358361774744,\n \"acc_stderr\": 0.014604496129394908,\n\ \ \"acc_norm\": 0.5580204778156996,\n \"acc_norm_stderr\": 0.01451268252312834\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6082453694483171,\n\ \ \"acc_stderr\": 0.004871447106554927,\n \"acc_norm\": 0.816072495518821,\n\ \ \"acc_norm_stderr\": 0.0038663327313633263\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ : {\n \"acc\": 0.35,\n \"acc_stderr\": 0.0479372485441102,\n \ \ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.0479372485441102\n },\n\ \ \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.5555555555555556,\n\ \ \"acc_stderr\": 0.04292596718256981,\n \"acc_norm\": 0.5555555555555556,\n\ \ \"acc_norm_stderr\": 0.04292596718256981\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.6118421052631579,\n \"acc_stderr\": 0.03965842097512744,\n\ \ \"acc_norm\": 0.6118421052631579,\n \"acc_norm_stderr\": 0.03965842097512744\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.57,\n\ \ \"acc_stderr\": 0.049756985195624284,\n \"acc_norm\": 0.57,\n \ \ \"acc_norm_stderr\": 0.049756985195624284\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.6792452830188679,\n \"acc_stderr\": 0.02872750295788027,\n\ \ \"acc_norm\": 0.6792452830188679,\n \"acc_norm_stderr\": 0.02872750295788027\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.6458333333333334,\n\ \ \"acc_stderr\": 0.039994111357535424,\n \"acc_norm\": 0.6458333333333334,\n\ \ \"acc_norm_stderr\": 0.039994111357535424\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.44,\n \"acc_stderr\": 0.04988876515698589,\n \ \ \"acc_norm\": 0.44,\n \"acc_norm_stderr\": 0.04988876515698589\n \ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\ : 0.46,\n \"acc_stderr\": 0.05009082659620332,\n \"acc_norm\": 0.46,\n\ \ \"acc_norm_stderr\": 0.05009082659620332\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ : {\n \"acc\": 0.39,\n \"acc_stderr\": 0.04902071300001974,\n \ \ \"acc_norm\": 0.39,\n \"acc_norm_stderr\": 0.04902071300001974\n \ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.5895953757225434,\n\ \ \"acc_stderr\": 0.037507570448955356,\n \"acc_norm\": 0.5895953757225434,\n\ \ \"acc_norm_stderr\": 0.037507570448955356\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.38235294117647056,\n \"acc_stderr\": 0.04835503696107223,\n\ \ \"acc_norm\": 0.38235294117647056,\n \"acc_norm_stderr\": 0.04835503696107223\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.74,\n \"acc_stderr\": 0.04408440022768078,\n \"acc_norm\": 0.74,\n\ \ \"acc_norm_stderr\": 0.04408440022768078\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.548936170212766,\n \"acc_stderr\": 0.032529096196131965,\n\ \ \"acc_norm\": 0.548936170212766,\n \"acc_norm_stderr\": 0.032529096196131965\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.4473684210526316,\n\ \ \"acc_stderr\": 0.04677473004491199,\n \"acc_norm\": 0.4473684210526316,\n\ \ \"acc_norm_stderr\": 0.04677473004491199\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.503448275862069,\n \"acc_stderr\": 0.041665675771015785,\n\ \ \"acc_norm\": 0.503448275862069,\n \"acc_norm_stderr\": 0.041665675771015785\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.3915343915343915,\n \"acc_stderr\": 0.025138091388851095,\n \"\ acc_norm\": 0.3915343915343915,\n \"acc_norm_stderr\": 0.025138091388851095\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.42063492063492064,\n\ \ \"acc_stderr\": 0.04415438226743744,\n \"acc_norm\": 0.42063492063492064,\n\ \ \"acc_norm_stderr\": 0.04415438226743744\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.35,\n \"acc_stderr\": 0.0479372485441102,\n \ \ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.0479372485441102\n },\n\ \ \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.7064516129032258,\n\ \ \"acc_stderr\": 0.025906087021319295,\n \"acc_norm\": 0.7064516129032258,\n\ \ \"acc_norm_stderr\": 0.025906087021319295\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\ : {\n \"acc\": 0.43842364532019706,\n \"acc_stderr\": 0.03491207857486519,\n\ \ \"acc_norm\": 0.43842364532019706,\n \"acc_norm_stderr\": 0.03491207857486519\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.65,\n \"acc_stderr\": 0.04793724854411019,\n \"acc_norm\"\ : 0.65,\n \"acc_norm_stderr\": 0.04793724854411019\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.7212121212121212,\n \"acc_stderr\": 0.03501438706296781,\n\ \ \"acc_norm\": 0.7212121212121212,\n \"acc_norm_stderr\": 0.03501438706296781\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.7525252525252525,\n \"acc_stderr\": 0.030746300742124488,\n \"\ acc_norm\": 0.7525252525252525,\n \"acc_norm_stderr\": 0.030746300742124488\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.8082901554404145,\n \"acc_stderr\": 0.02840895362624528,\n\ \ \"acc_norm\": 0.8082901554404145,\n \"acc_norm_stderr\": 0.02840895362624528\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.541025641025641,\n \"acc_stderr\": 0.025265525491284295,\n \ \ \"acc_norm\": 0.541025641025641,\n \"acc_norm_stderr\": 0.025265525491284295\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.3,\n \"acc_stderr\": 0.02794045713622841,\n \"acc_norm\"\ : 0.3,\n \"acc_norm_stderr\": 0.02794045713622841\n },\n \"harness|hendrycksTest-high_school_microeconomics|5\"\ : {\n \"acc\": 0.5588235294117647,\n \"acc_stderr\": 0.032252942323996406,\n\ \ \"acc_norm\": 0.5588235294117647,\n \"acc_norm_stderr\": 0.032252942323996406\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.33774834437086093,\n \"acc_stderr\": 0.038615575462551684,\n \"\ acc_norm\": 0.33774834437086093,\n \"acc_norm_stderr\": 0.038615575462551684\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.8,\n \"acc_stderr\": 0.017149858514250948,\n \"acc_norm\": 0.8,\n\ \ \"acc_norm_stderr\": 0.017149858514250948\n },\n \"harness|hendrycksTest-high_school_statistics|5\"\ : {\n \"acc\": 0.4537037037037037,\n \"acc_stderr\": 0.033953227263757976,\n\ \ \"acc_norm\": 0.4537037037037037,\n \"acc_norm_stderr\": 0.033953227263757976\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.7696078431372549,\n \"acc_stderr\": 0.029554292605695063,\n \"\ acc_norm\": 0.7696078431372549,\n \"acc_norm_stderr\": 0.029554292605695063\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.8016877637130801,\n \"acc_stderr\": 0.02595502084162113,\n \ \ \"acc_norm\": 0.8016877637130801,\n \"acc_norm_stderr\": 0.02595502084162113\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6547085201793722,\n\ \ \"acc_stderr\": 0.03191100192835795,\n \"acc_norm\": 0.6547085201793722,\n\ \ \"acc_norm_stderr\": 0.03191100192835795\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.7557251908396947,\n \"acc_stderr\": 0.037683359597287434,\n\ \ \"acc_norm\": 0.7557251908396947,\n \"acc_norm_stderr\": 0.037683359597287434\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.7768595041322314,\n \"acc_stderr\": 0.03800754475228732,\n \"\ acc_norm\": 0.7768595041322314,\n \"acc_norm_stderr\": 0.03800754475228732\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.6944444444444444,\n\ \ \"acc_stderr\": 0.044531975073749834,\n \"acc_norm\": 0.6944444444444444,\n\ \ \"acc_norm_stderr\": 0.044531975073749834\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.754601226993865,\n \"acc_stderr\": 0.03380939813943354,\n\ \ \"acc_norm\": 0.754601226993865,\n \"acc_norm_stderr\": 0.03380939813943354\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.5,\n\ \ \"acc_stderr\": 0.04745789978762494,\n \"acc_norm\": 0.5,\n \ \ \"acc_norm_stderr\": 0.04745789978762494\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.6893203883495146,\n \"acc_stderr\": 0.04582124160161551,\n\ \ \"acc_norm\": 0.6893203883495146,\n \"acc_norm_stderr\": 0.04582124160161551\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8504273504273504,\n\ \ \"acc_stderr\": 0.023365051491753715,\n \"acc_norm\": 0.8504273504273504,\n\ \ \"acc_norm_stderr\": 0.023365051491753715\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.7,\n \"acc_stderr\": 0.046056618647183814,\n \ \ \"acc_norm\": 0.7,\n \"acc_norm_stderr\": 0.046056618647183814\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.7713920817369093,\n\ \ \"acc_stderr\": 0.015016884698539873,\n \"acc_norm\": 0.7713920817369093,\n\ \ \"acc_norm_stderr\": 0.015016884698539873\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.653179190751445,\n \"acc_stderr\": 0.025624723994030454,\n\ \ \"acc_norm\": 0.653179190751445,\n \"acc_norm_stderr\": 0.025624723994030454\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.3564245810055866,\n\ \ \"acc_stderr\": 0.016018239710513398,\n \"acc_norm\": 0.3564245810055866,\n\ \ \"acc_norm_stderr\": 0.016018239710513398\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.6405228758169934,\n \"acc_stderr\": 0.027475969910660952,\n\ \ \"acc_norm\": 0.6405228758169934,\n \"acc_norm_stderr\": 0.027475969910660952\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.6977491961414791,\n\ \ \"acc_stderr\": 0.02608270069539966,\n \"acc_norm\": 0.6977491961414791,\n\ \ \"acc_norm_stderr\": 0.02608270069539966\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.6666666666666666,\n \"acc_stderr\": 0.02622964917882116,\n\ \ \"acc_norm\": 0.6666666666666666,\n \"acc_norm_stderr\": 0.02622964917882116\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.425531914893617,\n \"acc_stderr\": 0.029494827600144363,\n \ \ \"acc_norm\": 0.425531914893617,\n \"acc_norm_stderr\": 0.029494827600144363\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.4361147327249022,\n\ \ \"acc_stderr\": 0.012665568135455333,\n \"acc_norm\": 0.4361147327249022,\n\ \ \"acc_norm_stderr\": 0.012665568135455333\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.6029411764705882,\n \"acc_stderr\": 0.02972215209928006,\n\ \ \"acc_norm\": 0.6029411764705882,\n \"acc_norm_stderr\": 0.02972215209928006\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.6241830065359477,\n \"acc_stderr\": 0.01959402113657744,\n \ \ \"acc_norm\": 0.6241830065359477,\n \"acc_norm_stderr\": 0.01959402113657744\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6545454545454545,\n\ \ \"acc_stderr\": 0.04554619617541054,\n \"acc_norm\": 0.6545454545454545,\n\ \ \"acc_norm_stderr\": 0.04554619617541054\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.7224489795918367,\n \"acc_stderr\": 0.028666857790274648,\n\ \ \"acc_norm\": 0.7224489795918367,\n \"acc_norm_stderr\": 0.028666857790274648\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.7810945273631841,\n\ \ \"acc_stderr\": 0.029239174636647,\n \"acc_norm\": 0.7810945273631841,\n\ \ \"acc_norm_stderr\": 0.029239174636647\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.79,\n \"acc_stderr\": 0.040936018074033256,\n \ \ \"acc_norm\": 0.79,\n \"acc_norm_stderr\": 0.040936018074033256\n \ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5,\n \ \ \"acc_stderr\": 0.03892494720807614,\n \"acc_norm\": 0.5,\n \ \ \"acc_norm_stderr\": 0.03892494720807614\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.783625730994152,\n \"acc_stderr\": 0.031581495393387324,\n\ \ \"acc_norm\": 0.783625730994152,\n \"acc_norm_stderr\": 0.031581495393387324\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.2864137086903305,\n\ \ \"mc1_stderr\": 0.01582614243950236,\n \"mc2\": 0.4308666648887643,\n\ \ \"mc2_stderr\": 0.0144918724444321\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.7868981846882399,\n \"acc_stderr\": 0.011508957690722757\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.0,\n \"acc_stderr\"\ : 0.0\n }\n}\n```" repo_url: https://huggingface.co/macadeliccc/Mistral-7B-v0.2-OpenHermes 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: 2024_03_27T18_19_33.883845 path: - '**/details_harness|arc:challenge|25_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2024-03-27T18-19-33.883845.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '**/details_harness|gsm8k|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_03_27T18_19_33.883845 path: - '**/details_harness|hellaswag|10_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-management|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-management|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-03-27T18-19-33.883845.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '**/details_harness|hendrycksTest-anatomy|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '**/details_harness|hendrycksTest-astronomy|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '**/details_harness|hendrycksTest-college_biology|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '**/details_harness|hendrycksTest-college_physics|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '**/details_harness|hendrycksTest-computer_security|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '**/details_harness|hendrycksTest-econometrics|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '**/details_harness|hendrycksTest-global_facts|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '**/details_harness|hendrycksTest-human_aging|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '**/details_harness|hendrycksTest-international_law|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '**/details_harness|hendrycksTest-management|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '**/details_harness|hendrycksTest-marketing|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '**/details_harness|hendrycksTest-nutrition|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '**/details_harness|hendrycksTest-philosophy|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '**/details_harness|hendrycksTest-prehistory|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '**/details_harness|hendrycksTest-professional_law|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '**/details_harness|hendrycksTest-public_relations|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '**/details_harness|hendrycksTest-security_studies|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '**/details_harness|hendrycksTest-sociology|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '**/details_harness|hendrycksTest-virology|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '**/details_harness|hendrycksTest-world_religions|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2024-03-27T18-19-33.883845.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_03_27T18_19_33.883845 path: - '**/details_harness|truthfulqa:mc|0_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2024-03-27T18-19-33.883845.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_03_27T18_19_33.883845 path: - '**/details_harness|winogrande|5_2024-03-27T18-19-33.883845.parquet' - split: latest path: - '**/details_harness|winogrande|5_2024-03-27T18-19-33.883845.parquet' - config_name: results data_files: - split: 2024_03_27T18_19_33.883845 path: - results_2024-03-27T18-19-33.883845.parquet - split: latest path: - results_2024-03-27T18-19-33.883845.parquet --- # Dataset Card for Evaluation run of macadeliccc/Mistral-7B-v0.2-OpenHermes  Dataset automatically created during the evaluation run of model [macadeliccc/Mistral-7B-v0.2-OpenHermes](https://huggingface.co/macadeliccc/Mistral-7B-v0.2-OpenHermes) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 63 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 (and is used to compute and display the aggregated 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_macadeliccc__Mistral-7B-v0.2-OpenHermes", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-03-27T18:19:33.883845](https://huggingface.co/datasets/open-llm-leaderboard/details_macadeliccc__Mistral-7B-v0.2-OpenHermes/blob/main/results_2024-03-27T18-19-33.883845.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": 0.5919484433220782, "acc_stderr": 0.03315093682640097, "acc_norm": 0.6029228152554236, "acc_norm_stderr": 0.03406103831759794, "mc1": 0.2864137086903305, "mc1_stderr": 0.01582614243950236, "mc2": 0.4308666648887643, "mc2_stderr": 0.0144918724444321 }, "harness|arc:challenge|25": { "acc": 0.515358361774744, "acc_stderr": 0.014604496129394908, "acc_norm": 0.5580204778156996, "acc_norm_stderr": 0.01451268252312834 }, "harness|hellaswag|10": { "acc": 0.6082453694483171, "acc_stderr": 0.004871447106554927, "acc_norm": 0.816072495518821, "acc_norm_stderr": 0.0038663327313633263 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.35, "acc_stderr": 0.0479372485441102, "acc_norm": 0.35, "acc_norm_stderr": 0.0479372485441102 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.5555555555555556, "acc_stderr": 0.04292596718256981, "acc_norm": 0.5555555555555556, "acc_norm_stderr": 0.04292596718256981 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.6118421052631579, "acc_stderr": 0.03965842097512744, "acc_norm": 0.6118421052631579, "acc_norm_stderr": 0.03965842097512744 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.57, "acc_stderr": 0.049756985195624284, "acc_norm": 0.57, "acc_norm_stderr": 0.049756985195624284 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.6792452830188679, "acc_stderr": 0.02872750295788027, "acc_norm": 0.6792452830188679, "acc_norm_stderr": 0.02872750295788027 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.6458333333333334, "acc_stderr": 0.039994111357535424, "acc_norm": 0.6458333333333334, "acc_norm_stderr": 0.039994111357535424 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.44, "acc_stderr": 0.04988876515698589, "acc_norm": 0.44, "acc_norm_stderr": 0.04988876515698589 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.46, "acc_stderr": 0.05009082659620332, "acc_norm": 0.46, "acc_norm_stderr": 0.05009082659620332 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.39, "acc_stderr": 0.04902071300001974, "acc_norm": 0.39, "acc_norm_stderr": 0.04902071300001974 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.5895953757225434, "acc_stderr": 0.037507570448955356, "acc_norm": 0.5895953757225434, "acc_norm_stderr": 0.037507570448955356 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.38235294117647056, "acc_stderr": 0.04835503696107223, "acc_norm": 0.38235294117647056, "acc_norm_stderr": 0.04835503696107223 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.74, "acc_stderr": 0.04408440022768078, "acc_norm": 0.74, "acc_norm_stderr": 0.04408440022768078 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.548936170212766, "acc_stderr": 0.032529096196131965, "acc_norm": 0.548936170212766, "acc_norm_stderr": 0.032529096196131965 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.4473684210526316, "acc_stderr": 0.04677473004491199, "acc_norm": 0.4473684210526316, "acc_norm_stderr": 0.04677473004491199 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.503448275862069, "acc_stderr": 0.041665675771015785, "acc_norm": 0.503448275862069, "acc_norm_stderr": 0.041665675771015785 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.3915343915343915, "acc_stderr": 0.025138091388851095, "acc_norm": 0.3915343915343915, "acc_norm_stderr": 0.025138091388851095 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.42063492063492064, "acc_stderr": 0.04415438226743744, "acc_norm": 0.42063492063492064, "acc_norm_stderr": 0.04415438226743744 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.35, "acc_stderr": 0.0479372485441102, "acc_norm": 0.35, "acc_norm_stderr": 0.0479372485441102 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.7064516129032258, "acc_stderr": 0.025906087021319295, "acc_norm": 0.7064516129032258, "acc_norm_stderr": 0.025906087021319295 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.43842364532019706, "acc_stderr": 0.03491207857486519, "acc_norm": 0.43842364532019706, "acc_norm_stderr": 0.03491207857486519 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.65, "acc_stderr": 0.04793724854411019, "acc_norm": 0.65, "acc_norm_stderr": 0.04793724854411019 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.7212121212121212, "acc_stderr": 0.03501438706296781, "acc_norm": 0.7212121212121212, "acc_norm_stderr": 0.03501438706296781 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.7525252525252525, "acc_stderr": 0.030746300742124488, "acc_norm": 0.7525252525252525, "acc_norm_stderr": 0.030746300742124488 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.8082901554404145, "acc_stderr": 0.02840895362624528, "acc_norm": 0.8082901554404145, "acc_norm_stderr": 0.02840895362624528 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.541025641025641, "acc_stderr": 0.025265525491284295, "acc_norm": 0.541025641025641, "acc_norm_stderr": 0.025265525491284295 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.3, "acc_stderr": 0.02794045713622841, "acc_norm": 0.3, "acc_norm_stderr": 0.02794045713622841 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.5588235294117647, "acc_stderr": 0.032252942323996406, "acc_norm": 0.5588235294117647, "acc_norm_stderr": 0.032252942323996406 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.33774834437086093, "acc_stderr": 0.038615575462551684, "acc_norm": 0.33774834437086093, "acc_norm_stderr": 0.038615575462551684 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.8, "acc_stderr": 0.017149858514250948, "acc_norm": 0.8, "acc_norm_stderr": 0.017149858514250948 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.4537037037037037, "acc_stderr": 0.033953227263757976, "acc_norm": 0.4537037037037037, "acc_norm_stderr": 0.033953227263757976 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.7696078431372549, "acc_stderr": 0.029554292605695063, "acc_norm": 0.7696078431372549, "acc_norm_stderr": 0.029554292605695063 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.8016877637130801, "acc_stderr": 0.02595502084162113, "acc_norm": 0.8016877637130801, "acc_norm_stderr": 0.02595502084162113 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.6547085201793722, "acc_stderr": 0.03191100192835795, "acc_norm": 0.6547085201793722, "acc_norm_stderr": 0.03191100192835795 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.7557251908396947, "acc_stderr": 0.037683359597287434, "acc_norm": 0.7557251908396947, "acc_norm_stderr": 0.037683359597287434 }, "harness|hendrycksTest-international_law|5": { "acc": 0.7768595041322314, "acc_stderr": 0.03800754475228732, "acc_norm": 0.7768595041322314, "acc_norm_stderr": 0.03800754475228732 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.6944444444444444, "acc_stderr": 0.044531975073749834, "acc_norm": 0.6944444444444444, "acc_norm_stderr": 0.044531975073749834 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.754601226993865, "acc_stderr": 0.03380939813943354, "acc_norm": 0.754601226993865, "acc_norm_stderr": 0.03380939813943354 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.5, "acc_stderr": 0.04745789978762494, "acc_norm": 0.5, "acc_norm_stderr": 0.04745789978762494 }, "harness|hendrycksTest-management|5": { "acc": 0.6893203883495146, "acc_stderr": 0.04582124160161551, "acc_norm": 0.6893203883495146, "acc_norm_stderr": 0.04582124160161551 }, "harness|hendrycksTest-marketing|5": { "acc": 0.8504273504273504, "acc_stderr": 0.023365051491753715, "acc_norm": 0.8504273504273504, "acc_norm_stderr": 0.023365051491753715 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.7, "acc_stderr": 0.046056618647183814, "acc_norm": 0.7, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.7713920817369093, "acc_stderr": 0.015016884698539873, "acc_norm": 0.7713920817369093, "acc_norm_stderr": 0.015016884698539873 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.653179190751445, "acc_stderr": 0.025624723994030454, "acc_norm": 0.653179190751445, "acc_norm_stderr": 0.025624723994030454 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.3564245810055866, "acc_stderr": 0.016018239710513398, "acc_norm": 0.3564245810055866, "acc_norm_stderr": 0.016018239710513398 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.6405228758169934, "acc_stderr": 0.027475969910660952, "acc_norm": 0.6405228758169934, "acc_norm_stderr": 0.027475969910660952 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.6977491961414791, "acc_stderr": 0.02608270069539966, "acc_norm": 0.6977491961414791, "acc_norm_stderr": 0.02608270069539966 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.6666666666666666, "acc_stderr": 0.02622964917882116, "acc_norm": 0.6666666666666666, "acc_norm_stderr": 0.02622964917882116 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.425531914893617, "acc_stderr": 0.029494827600144363, "acc_norm": 0.425531914893617, "acc_norm_stderr": 0.029494827600144363 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.4361147327249022, "acc_stderr": 0.012665568135455333, "acc_norm": 0.4361147327249022, "acc_norm_stderr": 0.012665568135455333 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.6029411764705882, "acc_stderr": 0.02972215209928006, "acc_norm": 0.6029411764705882, "acc_norm_stderr": 0.02972215209928006 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.6241830065359477, "acc_stderr": 0.01959402113657744, "acc_norm": 0.6241830065359477, "acc_norm_stderr": 0.01959402113657744 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.6545454545454545, "acc_stderr": 0.04554619617541054, "acc_norm": 0.6545454545454545, "acc_norm_stderr": 0.04554619617541054 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.7224489795918367, "acc_stderr": 0.028666857790274648, "acc_norm": 0.7224489795918367, "acc_norm_stderr": 0.028666857790274648 }, "harness|hendrycksTest-sociology|5": { "acc": 0.7810945273631841, "acc_stderr": 0.029239174636647, "acc_norm": 0.7810945273631841, "acc_norm_stderr": 0.029239174636647 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.79, "acc_stderr": 0.040936018074033256, "acc_norm": 0.79, "acc_norm_stderr": 0.040936018074033256 }, "harness|hendrycksTest-virology|5": { "acc": 0.5, "acc_stderr": 0.03892494720807614, "acc_norm": 0.5, "acc_norm_stderr": 0.03892494720807614 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.783625730994152, "acc_stderr": 0.031581495393387324, "acc_norm": 0.783625730994152, "acc_norm_stderr": 0.031581495393387324 }, "harness|truthfulqa:mc|0": { "mc1": 0.2864137086903305, "mc1_stderr": 0.01582614243950236, "mc2": 0.4308666648887643, "mc2_stderr": 0.0144918724444321 }, "harness|winogrande|5": { "acc": 0.7868981846882399, "acc_stderr": 0.011508957690722757 }, "harness|gsm8k|5": { "acc": 0.0, "acc_stderr": 0.0 } } ``` ## Dataset Details ### Dataset Description  - **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]  - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses  ### Direct Use  [More Information Needed] ### Out-of-Scope Use  [More Information Needed] ## Dataset Structure  [More Information Needed] ## Dataset Creation ### Curation Rationale  [More Information Needed] ### Source Data  #### Data Collection and Processing  [More Information Needed] #### Who are the source data producers?  [More Information Needed] ### Annotations [optional]  #### Annotation process  [More Information Needed] #### Who are the annotators?  [More Information Needed] #### Personal and Sensitive Information  [More Information Needed] ## Bias, Risks, and Limitations  [More Information Needed] ### Recommendations  Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional]  **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional]  [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]

open-llm-leaderboard/details_ShinojiResearch__Senku-70B-Full

--- pretty_name: Evaluation run of ShinojiResearch/Senku-70B-Full dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [ShinojiResearch/Senku-70B-Full](https://huggingface.co/ShinojiResearch/Senku-70B-Full)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 63 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 aggregated 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_ShinojiResearch__Senku-70B-Full\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-02-09T22:09:19.492878](https://huggingface.co/datasets/open-llm-leaderboard/details_ShinojiResearch__Senku-70B-Full/blob/main/results_2024-02-09T22-09-19.492878.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\": 0.7505923110347043,\n\ \ \"acc_stderr\": 0.02868102140930387,\n \"acc_norm\": 0.7535032633378316,\n\ \ \"acc_norm_stderr\": 0.029238591782710294,\n \"mc1\": 0.4541003671970624,\n\ \ \"mc1_stderr\": 0.017429593091323522,\n \"mc2\": 0.619572860600058,\n\ \ \"mc2_stderr\": 0.014905285944975092\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.6680887372013652,\n \"acc_stderr\": 0.013760988200880534,\n\ \ \"acc_norm\": 0.7150170648464164,\n \"acc_norm_stderr\": 0.013191348179838793\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6940848436566421,\n\ \ \"acc_stderr\": 0.004598522271041222,\n \"acc_norm\": 0.8788090021907986,\n\ \ \"acc_norm_stderr\": 0.003256821418857317\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ : {\n \"acc\": 0.41,\n \"acc_stderr\": 0.049431107042371025,\n \ \ \"acc_norm\": 0.41,\n \"acc_norm_stderr\": 0.049431107042371025\n \ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.6888888888888889,\n\ \ \"acc_stderr\": 0.03999262876617722,\n \"acc_norm\": 0.6888888888888889,\n\ \ \"acc_norm_stderr\": 0.03999262876617722\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.8355263157894737,\n \"acc_stderr\": 0.030167533468632726,\n\ \ \"acc_norm\": 0.8355263157894737,\n \"acc_norm_stderr\": 0.030167533468632726\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.8,\n\ \ \"acc_stderr\": 0.04020151261036845,\n \"acc_norm\": 0.8,\n \ \ \"acc_norm_stderr\": 0.04020151261036845\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.7962264150943397,\n \"acc_stderr\": 0.024790784501775406,\n\ \ \"acc_norm\": 0.7962264150943397,\n \"acc_norm_stderr\": 0.024790784501775406\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.8888888888888888,\n\ \ \"acc_stderr\": 0.02628055093284808,\n \"acc_norm\": 0.8888888888888888,\n\ \ \"acc_norm_stderr\": 0.02628055093284808\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.53,\n \"acc_stderr\": 0.05016135580465919,\n \ \ \"acc_norm\": 0.53,\n \"acc_norm_stderr\": 0.05016135580465919\n \ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\ : 0.63,\n \"acc_stderr\": 0.04852365870939099,\n \"acc_norm\": 0.63,\n\ \ \"acc_norm_stderr\": 0.04852365870939099\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ : {\n \"acc\": 0.5,\n \"acc_stderr\": 0.050251890762960605,\n \ \ \"acc_norm\": 0.5,\n \"acc_norm_stderr\": 0.050251890762960605\n \ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.7456647398843931,\n\ \ \"acc_stderr\": 0.0332055644308557,\n \"acc_norm\": 0.7456647398843931,\n\ \ \"acc_norm_stderr\": 0.0332055644308557\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.4803921568627451,\n \"acc_stderr\": 0.04971358884367406,\n\ \ \"acc_norm\": 0.4803921568627451,\n \"acc_norm_stderr\": 0.04971358884367406\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.78,\n \"acc_stderr\": 0.04163331998932261,\n \"acc_norm\": 0.78,\n\ \ \"acc_norm_stderr\": 0.04163331998932261\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.7404255319148936,\n \"acc_stderr\": 0.02865917937429232,\n\ \ \"acc_norm\": 0.7404255319148936,\n \"acc_norm_stderr\": 0.02865917937429232\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.5964912280701754,\n\ \ \"acc_stderr\": 0.04615186962583707,\n \"acc_norm\": 0.5964912280701754,\n\ \ \"acc_norm_stderr\": 0.04615186962583707\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.696551724137931,\n \"acc_stderr\": 0.038312260488503336,\n\ \ \"acc_norm\": 0.696551724137931,\n \"acc_norm_stderr\": 0.038312260488503336\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.5423280423280423,\n \"acc_stderr\": 0.025658868862058322,\n \"\ acc_norm\": 0.5423280423280423,\n \"acc_norm_stderr\": 0.025658868862058322\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.5238095238095238,\n\ \ \"acc_stderr\": 0.04467062628403273,\n \"acc_norm\": 0.5238095238095238,\n\ \ \"acc_norm_stderr\": 0.04467062628403273\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.48,\n \"acc_stderr\": 0.050211673156867795,\n \ \ \"acc_norm\": 0.48,\n \"acc_norm_stderr\": 0.050211673156867795\n \ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\"\ : 0.8838709677419355,\n \"acc_stderr\": 0.018225757949432302,\n \"\ acc_norm\": 0.8838709677419355,\n \"acc_norm_stderr\": 0.018225757949432302\n\ \ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\ : 0.6206896551724138,\n \"acc_stderr\": 0.034139638059062345,\n \"\ acc_norm\": 0.6206896551724138,\n \"acc_norm_stderr\": 0.034139638059062345\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.84,\n \"acc_stderr\": 0.03684529491774708,\n \"acc_norm\"\ : 0.84,\n \"acc_norm_stderr\": 0.03684529491774708\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.8545454545454545,\n \"acc_stderr\": 0.027530196355066584,\n\ \ \"acc_norm\": 0.8545454545454545,\n \"acc_norm_stderr\": 0.027530196355066584\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.9040404040404041,\n \"acc_stderr\": 0.020984808610047926,\n \"\ acc_norm\": 0.9040404040404041,\n \"acc_norm_stderr\": 0.020984808610047926\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.9430051813471503,\n \"acc_stderr\": 0.016731085293607558,\n\ \ \"acc_norm\": 0.9430051813471503,\n \"acc_norm_stderr\": 0.016731085293607558\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.7794871794871795,\n \"acc_stderr\": 0.0210206726808279,\n \ \ \"acc_norm\": 0.7794871794871795,\n \"acc_norm_stderr\": 0.0210206726808279\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.4148148148148148,\n \"acc_stderr\": 0.03003984245406929,\n \ \ \"acc_norm\": 0.4148148148148148,\n \"acc_norm_stderr\": 0.03003984245406929\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.8529411764705882,\n \"acc_stderr\": 0.023005459446673936,\n\ \ \"acc_norm\": 0.8529411764705882,\n \"acc_norm_stderr\": 0.023005459446673936\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.5165562913907285,\n \"acc_stderr\": 0.04080244185628972,\n \"\ acc_norm\": 0.5165562913907285,\n \"acc_norm_stderr\": 0.04080244185628972\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.9302752293577982,\n \"acc_stderr\": 0.010919426411848614,\n \"\ acc_norm\": 0.9302752293577982,\n \"acc_norm_stderr\": 0.010919426411848614\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.6620370370370371,\n \"acc_stderr\": 0.03225941352631295,\n \"\ acc_norm\": 0.6620370370370371,\n \"acc_norm_stderr\": 0.03225941352631295\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.9117647058823529,\n \"acc_stderr\": 0.019907399791316942,\n \"\ acc_norm\": 0.9117647058823529,\n \"acc_norm_stderr\": 0.019907399791316942\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.8987341772151899,\n \"acc_stderr\": 0.019637720526065505,\n \ \ \"acc_norm\": 0.8987341772151899,\n \"acc_norm_stderr\": 0.019637720526065505\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.8161434977578476,\n\ \ \"acc_stderr\": 0.025998379092356513,\n \"acc_norm\": 0.8161434977578476,\n\ \ \"acc_norm_stderr\": 0.025998379092356513\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.8778625954198473,\n \"acc_stderr\": 0.02871877688934232,\n\ \ \"acc_norm\": 0.8778625954198473,\n \"acc_norm_stderr\": 0.02871877688934232\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.9173553719008265,\n \"acc_stderr\": 0.025135382356604227,\n \"\ acc_norm\": 0.9173553719008265,\n \"acc_norm_stderr\": 0.025135382356604227\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.8703703703703703,\n\ \ \"acc_stderr\": 0.03247224389917948,\n \"acc_norm\": 0.8703703703703703,\n\ \ \"acc_norm_stderr\": 0.03247224389917948\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.8282208588957055,\n \"acc_stderr\": 0.02963471727237103,\n\ \ \"acc_norm\": 0.8282208588957055,\n \"acc_norm_stderr\": 0.02963471727237103\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.6607142857142857,\n\ \ \"acc_stderr\": 0.04493949068613539,\n \"acc_norm\": 0.6607142857142857,\n\ \ \"acc_norm_stderr\": 0.04493949068613539\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.8737864077669902,\n \"acc_stderr\": 0.03288180278808629,\n\ \ \"acc_norm\": 0.8737864077669902,\n \"acc_norm_stderr\": 0.03288180278808629\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.9358974358974359,\n\ \ \"acc_stderr\": 0.016046261631673137,\n \"acc_norm\": 0.9358974358974359,\n\ \ \"acc_norm_stderr\": 0.016046261631673137\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.81,\n \"acc_stderr\": 0.03942772444036623,\n \ \ \"acc_norm\": 0.81,\n \"acc_norm_stderr\": 0.03942772444036623\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.8991060025542784,\n\ \ \"acc_stderr\": 0.010770472014886715,\n \"acc_norm\": 0.8991060025542784,\n\ \ \"acc_norm_stderr\": 0.010770472014886715\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.8208092485549133,\n \"acc_stderr\": 0.020647590029679332,\n\ \ \"acc_norm\": 0.8208092485549133,\n \"acc_norm_stderr\": 0.020647590029679332\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.6815642458100558,\n\ \ \"acc_stderr\": 0.015581008080360274,\n \"acc_norm\": 0.6815642458100558,\n\ \ \"acc_norm_stderr\": 0.015581008080360274\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.8333333333333334,\n \"acc_stderr\": 0.021339479988816027,\n\ \ \"acc_norm\": 0.8333333333333334,\n \"acc_norm_stderr\": 0.021339479988816027\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.8231511254019293,\n\ \ \"acc_stderr\": 0.021670058885510782,\n \"acc_norm\": 0.8231511254019293,\n\ \ \"acc_norm_stderr\": 0.021670058885510782\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.8672839506172839,\n \"acc_stderr\": 0.01887735383957185,\n\ \ \"acc_norm\": 0.8672839506172839,\n \"acc_norm_stderr\": 0.01887735383957185\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.5815602836879432,\n \"acc_stderr\": 0.029427994039419998,\n \ \ \"acc_norm\": 0.5815602836879432,\n \"acc_norm_stderr\": 0.029427994039419998\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.5821382007822686,\n\ \ \"acc_stderr\": 0.012596744108998569,\n \"acc_norm\": 0.5821382007822686,\n\ \ \"acc_norm_stderr\": 0.012596744108998569\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.8125,\n \"acc_stderr\": 0.023709788253811766,\n \ \ \"acc_norm\": 0.8125,\n \"acc_norm_stderr\": 0.023709788253811766\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.8202614379084967,\n \"acc_stderr\": 0.01553374508338279,\n \ \ \"acc_norm\": 0.8202614379084967,\n \"acc_norm_stderr\": 0.01553374508338279\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.7363636363636363,\n\ \ \"acc_stderr\": 0.04220224692971987,\n \"acc_norm\": 0.7363636363636363,\n\ \ \"acc_norm_stderr\": 0.04220224692971987\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.8367346938775511,\n \"acc_stderr\": 0.023661699177098608,\n\ \ \"acc_norm\": 0.8367346938775511,\n \"acc_norm_stderr\": 0.023661699177098608\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.9104477611940298,\n\ \ \"acc_stderr\": 0.02019067053502791,\n \"acc_norm\": 0.9104477611940298,\n\ \ \"acc_norm_stderr\": 0.02019067053502791\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.94,\n \"acc_stderr\": 0.02386832565759415,\n \ \ \"acc_norm\": 0.94,\n \"acc_norm_stderr\": 0.02386832565759415\n \ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5662650602409639,\n\ \ \"acc_stderr\": 0.03858158940685515,\n \"acc_norm\": 0.5662650602409639,\n\ \ \"acc_norm_stderr\": 0.03858158940685515\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.8830409356725146,\n \"acc_stderr\": 0.024648068961366152,\n\ \ \"acc_norm\": 0.8830409356725146,\n \"acc_norm_stderr\": 0.024648068961366152\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.4541003671970624,\n\ \ \"mc1_stderr\": 0.017429593091323522,\n \"mc2\": 0.619572860600058,\n\ \ \"mc2_stderr\": 0.014905285944975092\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.8476716653512234,\n \"acc_stderr\": 0.010099208246065583\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.7134192570128886,\n \ \ \"acc_stderr\": 0.012454841668337688\n }\n}\n```" repo_url: https://huggingface.co/ShinojiResearch/Senku-70B-Full 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: 2024_02_09T21_53_37.284416 path: - '**/details_harness|arc:challenge|25_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '**/details_harness|arc:challenge|25_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2024-02-09T22-09-19.492878.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '**/details_harness|gsm8k|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '**/details_harness|gsm8k|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_02_09T21_53_37.284416 path: - '**/details_harness|hellaswag|10_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '**/details_harness|hellaswag|10_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-09T21-53-37.284416.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-02-09T21-53-37.284416.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-02-09T21-53-37.284416.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-02-09T21-53-37.284416.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-09T21-53-37.284416.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-02-09T21-53-37.284416.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-09T21-53-37.284416.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-09T21-53-37.284416.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-09T21-53-37.284416.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-02-09T21-53-37.284416.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-02-09T21-53-37.284416.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-02-09T21-53-37.284416.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-09T21-53-37.284416.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-02-09T21-53-37.284416.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-09T21-53-37.284416.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-09T21-53-37.284416.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-02-09T21-53-37.284416.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-02-09T21-53-37.284416.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-09T21-53-37.284416.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-09T21-53-37.284416.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-09T21-53-37.284416.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-09T21-53-37.284416.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-09T21-53-37.284416.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-09T21-53-37.284416.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-09T21-53-37.284416.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-09T21-53-37.284416.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-09T21-53-37.284416.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-09T21-53-37.284416.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-09T21-53-37.284416.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-09T21-53-37.284416.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-09T21-53-37.284416.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-09T21-53-37.284416.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-02-09T21-53-37.284416.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-09T21-53-37.284416.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-02-09T21-53-37.284416.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-09T21-53-37.284416.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-09T21-53-37.284416.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-02-09T21-53-37.284416.parquet' - '**/details_harness|hendrycksTest-management|5_2024-02-09T21-53-37.284416.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-02-09T21-53-37.284416.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-09T21-53-37.284416.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-09T21-53-37.284416.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-09T21-53-37.284416.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-09T21-53-37.284416.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-02-09T21-53-37.284416.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-02-09T21-53-37.284416.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-02-09T21-53-37.284416.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-09T21-53-37.284416.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-02-09T21-53-37.284416.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-09T21-53-37.284416.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-09T21-53-37.284416.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-02-09T21-53-37.284416.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-02-09T21-53-37.284416.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-02-09T21-53-37.284416.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-09T21-53-37.284416.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-02-09T21-53-37.284416.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-management|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-management|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-02-09T22-09-19.492878.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '**/details_harness|hendrycksTest-anatomy|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '**/details_harness|hendrycksTest-anatomy|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '**/details_harness|hendrycksTest-astronomy|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '**/details_harness|hendrycksTest-astronomy|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '**/details_harness|hendrycksTest-college_biology|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '**/details_harness|hendrycksTest-college_biology|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '**/details_harness|hendrycksTest-college_physics|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '**/details_harness|hendrycksTest-college_physics|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '**/details_harness|hendrycksTest-computer_security|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '**/details_harness|hendrycksTest-computer_security|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '**/details_harness|hendrycksTest-econometrics|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '**/details_harness|hendrycksTest-econometrics|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '**/details_harness|hendrycksTest-global_facts|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '**/details_harness|hendrycksTest-global_facts|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '**/details_harness|hendrycksTest-human_aging|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '**/details_harness|hendrycksTest-human_aging|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '**/details_harness|hendrycksTest-international_law|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '**/details_harness|hendrycksTest-international_law|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '**/details_harness|hendrycksTest-management|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '**/details_harness|hendrycksTest-management|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '**/details_harness|hendrycksTest-marketing|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '**/details_harness|hendrycksTest-marketing|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '**/details_harness|hendrycksTest-nutrition|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '**/details_harness|hendrycksTest-nutrition|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '**/details_harness|hendrycksTest-philosophy|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '**/details_harness|hendrycksTest-philosophy|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '**/details_harness|hendrycksTest-prehistory|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '**/details_harness|hendrycksTest-prehistory|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '**/details_harness|hendrycksTest-professional_law|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '**/details_harness|hendrycksTest-professional_law|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '**/details_harness|hendrycksTest-public_relations|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '**/details_harness|hendrycksTest-public_relations|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '**/details_harness|hendrycksTest-security_studies|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '**/details_harness|hendrycksTest-security_studies|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '**/details_harness|hendrycksTest-sociology|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '**/details_harness|hendrycksTest-sociology|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '**/details_harness|hendrycksTest-virology|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '**/details_harness|hendrycksTest-virology|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '**/details_harness|hendrycksTest-world_religions|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '**/details_harness|hendrycksTest-world_religions|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2024-02-09T22-09-19.492878.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_02_09T21_53_37.284416 path: - '**/details_harness|truthfulqa:mc|0_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '**/details_harness|truthfulqa:mc|0_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2024-02-09T22-09-19.492878.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_02_09T21_53_37.284416 path: - '**/details_harness|winogrande|5_2024-02-09T21-53-37.284416.parquet' - split: 2024_02_09T22_09_19.492878 path: - '**/details_harness|winogrande|5_2024-02-09T22-09-19.492878.parquet' - split: latest path: - '**/details_harness|winogrande|5_2024-02-09T22-09-19.492878.parquet' - config_name: results data_files: - split: 2024_02_09T21_53_37.284416 path: - results_2024-02-09T21-53-37.284416.parquet - split: 2024_02_09T22_09_19.492878 path: - results_2024-02-09T22-09-19.492878.parquet - split: latest path: - results_2024-02-09T22-09-19.492878.parquet --- # Dataset Card for Evaluation run of ShinojiResearch/Senku-70B-Full  Dataset automatically created during the evaluation run of model [ShinojiResearch/Senku-70B-Full](https://huggingface.co/ShinojiResearch/Senku-70B-Full) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 63 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 aggregated 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_ShinojiResearch__Senku-70B-Full", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-02-09T22:09:19.492878](https://huggingface.co/datasets/open-llm-leaderboard/details_ShinojiResearch__Senku-70B-Full/blob/main/results_2024-02-09T22-09-19.492878.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": 0.7505923110347043, "acc_stderr": 0.02868102140930387, "acc_norm": 0.7535032633378316, "acc_norm_stderr": 0.029238591782710294, "mc1": 0.4541003671970624, "mc1_stderr": 0.017429593091323522, "mc2": 0.619572860600058, "mc2_stderr": 0.014905285944975092 }, "harness|arc:challenge|25": { "acc": 0.6680887372013652, "acc_stderr": 0.013760988200880534, "acc_norm": 0.7150170648464164, "acc_norm_stderr": 0.013191348179838793 }, "harness|hellaswag|10": { "acc": 0.6940848436566421, "acc_stderr": 0.004598522271041222, "acc_norm": 0.8788090021907986, "acc_norm_stderr": 0.003256821418857317 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.41, "acc_stderr": 0.049431107042371025, "acc_norm": 0.41, "acc_norm_stderr": 0.049431107042371025 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.6888888888888889, "acc_stderr": 0.03999262876617722, "acc_norm": 0.6888888888888889, "acc_norm_stderr": 0.03999262876617722 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.8355263157894737, "acc_stderr": 0.030167533468632726, "acc_norm": 0.8355263157894737, "acc_norm_stderr": 0.030167533468632726 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.8, "acc_stderr": 0.04020151261036845, "acc_norm": 0.8, "acc_norm_stderr": 0.04020151261036845 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.7962264150943397, "acc_stderr": 0.024790784501775406, "acc_norm": 0.7962264150943397, "acc_norm_stderr": 0.024790784501775406 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.8888888888888888, "acc_stderr": 0.02628055093284808, "acc_norm": 0.8888888888888888, "acc_norm_stderr": 0.02628055093284808 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.53, "acc_stderr": 0.05016135580465919, "acc_norm": 0.53, "acc_norm_stderr": 0.05016135580465919 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.63, "acc_stderr": 0.04852365870939099, "acc_norm": 0.63, "acc_norm_stderr": 0.04852365870939099 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.5, "acc_stderr": 0.050251890762960605, "acc_norm": 0.5, "acc_norm_stderr": 0.050251890762960605 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.7456647398843931, "acc_stderr": 0.0332055644308557, "acc_norm": 0.7456647398843931, "acc_norm_stderr": 0.0332055644308557 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.4803921568627451, "acc_stderr": 0.04971358884367406, "acc_norm": 0.4803921568627451, "acc_norm_stderr": 0.04971358884367406 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.78, "acc_stderr": 0.04163331998932261, "acc_norm": 0.78, "acc_norm_stderr": 0.04163331998932261 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.7404255319148936, "acc_stderr": 0.02865917937429232, "acc_norm": 0.7404255319148936, "acc_norm_stderr": 0.02865917937429232 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.5964912280701754, "acc_stderr": 0.04615186962583707, "acc_norm": 0.5964912280701754, "acc_norm_stderr": 0.04615186962583707 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.696551724137931, "acc_stderr": 0.038312260488503336, "acc_norm": 0.696551724137931, "acc_norm_stderr": 0.038312260488503336 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.5423280423280423, "acc_stderr": 0.025658868862058322, "acc_norm": 0.5423280423280423, "acc_norm_stderr": 0.025658868862058322 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.5238095238095238, "acc_stderr": 0.04467062628403273, "acc_norm": 0.5238095238095238, "acc_norm_stderr": 0.04467062628403273 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.48, "acc_stderr": 0.050211673156867795, "acc_norm": 0.48, "acc_norm_stderr": 0.050211673156867795 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.8838709677419355, "acc_stderr": 0.018225757949432302, "acc_norm": 0.8838709677419355, "acc_norm_stderr": 0.018225757949432302 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.6206896551724138, "acc_stderr": 0.034139638059062345, "acc_norm": 0.6206896551724138, "acc_norm_stderr": 0.034139638059062345 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.84, "acc_stderr": 0.03684529491774708, "acc_norm": 0.84, "acc_norm_stderr": 0.03684529491774708 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.8545454545454545, "acc_stderr": 0.027530196355066584, "acc_norm": 0.8545454545454545, "acc_norm_stderr": 0.027530196355066584 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.9040404040404041, "acc_stderr": 0.020984808610047926, "acc_norm": 0.9040404040404041, "acc_norm_stderr": 0.020984808610047926 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.9430051813471503, "acc_stderr": 0.016731085293607558, "acc_norm": 0.9430051813471503, "acc_norm_stderr": 0.016731085293607558 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.7794871794871795, "acc_stderr": 0.0210206726808279, "acc_norm": 0.7794871794871795, "acc_norm_stderr": 0.0210206726808279 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.4148148148148148, "acc_stderr": 0.03003984245406929, "acc_norm": 0.4148148148148148, "acc_norm_stderr": 0.03003984245406929 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.8529411764705882, "acc_stderr": 0.023005459446673936, "acc_norm": 0.8529411764705882, "acc_norm_stderr": 0.023005459446673936 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.5165562913907285, "acc_stderr": 0.04080244185628972, "acc_norm": 0.5165562913907285, "acc_norm_stderr": 0.04080244185628972 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.9302752293577982, "acc_stderr": 0.010919426411848614, "acc_norm": 0.9302752293577982, "acc_norm_stderr": 0.010919426411848614 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.6620370370370371, "acc_stderr": 0.03225941352631295, "acc_norm": 0.6620370370370371, "acc_norm_stderr": 0.03225941352631295 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.9117647058823529, "acc_stderr": 0.019907399791316942, "acc_norm": 0.9117647058823529, "acc_norm_stderr": 0.019907399791316942 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.8987341772151899, "acc_stderr": 0.019637720526065505, "acc_norm": 0.8987341772151899, "acc_norm_stderr": 0.019637720526065505 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.8161434977578476, "acc_stderr": 0.025998379092356513, "acc_norm": 0.8161434977578476, "acc_norm_stderr": 0.025998379092356513 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.8778625954198473, "acc_stderr": 0.02871877688934232, "acc_norm": 0.8778625954198473, "acc_norm_stderr": 0.02871877688934232 }, "harness|hendrycksTest-international_law|5": { "acc": 0.9173553719008265, "acc_stderr": 0.025135382356604227, "acc_norm": 0.9173553719008265, "acc_norm_stderr": 0.025135382356604227 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.8703703703703703, "acc_stderr": 0.03247224389917948, "acc_norm": 0.8703703703703703, "acc_norm_stderr": 0.03247224389917948 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.8282208588957055, "acc_stderr": 0.02963471727237103, "acc_norm": 0.8282208588957055, "acc_norm_stderr": 0.02963471727237103 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.6607142857142857, "acc_stderr": 0.04493949068613539, "acc_norm": 0.6607142857142857, "acc_norm_stderr": 0.04493949068613539 }, "harness|hendrycksTest-management|5": { "acc": 0.8737864077669902, "acc_stderr": 0.03288180278808629, "acc_norm": 0.8737864077669902, "acc_norm_stderr": 0.03288180278808629 }, "harness|hendrycksTest-marketing|5": { "acc": 0.9358974358974359, "acc_stderr": 0.016046261631673137, "acc_norm": 0.9358974358974359, "acc_norm_stderr": 0.016046261631673137 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.81, "acc_stderr": 0.03942772444036623, "acc_norm": 0.81, "acc_norm_stderr": 0.03942772444036623 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.8991060025542784, "acc_stderr": 0.010770472014886715, "acc_norm": 0.8991060025542784, "acc_norm_stderr": 0.010770472014886715 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.8208092485549133, "acc_stderr": 0.020647590029679332, "acc_norm": 0.8208092485549133, "acc_norm_stderr": 0.020647590029679332 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.6815642458100558, "acc_stderr": 0.015581008080360274, "acc_norm": 0.6815642458100558, "acc_norm_stderr": 0.015581008080360274 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.8333333333333334, "acc_stderr": 0.021339479988816027, "acc_norm": 0.8333333333333334, "acc_norm_stderr": 0.021339479988816027 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.8231511254019293, "acc_stderr": 0.021670058885510782, "acc_norm": 0.8231511254019293, "acc_norm_stderr": 0.021670058885510782 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.8672839506172839, "acc_stderr": 0.01887735383957185, "acc_norm": 0.8672839506172839, "acc_norm_stderr": 0.01887735383957185 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.5815602836879432, "acc_stderr": 0.029427994039419998, "acc_norm": 0.5815602836879432, "acc_norm_stderr": 0.029427994039419998 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.5821382007822686, "acc_stderr": 0.012596744108998569, "acc_norm": 0.5821382007822686, "acc_norm_stderr": 0.012596744108998569 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.8125, "acc_stderr": 0.023709788253811766, "acc_norm": 0.8125, "acc_norm_stderr": 0.023709788253811766 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.8202614379084967, "acc_stderr": 0.01553374508338279, "acc_norm": 0.8202614379084967, "acc_norm_stderr": 0.01553374508338279 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.7363636363636363, "acc_stderr": 0.04220224692971987, "acc_norm": 0.7363636363636363, "acc_norm_stderr": 0.04220224692971987 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.8367346938775511, "acc_stderr": 0.023661699177098608, "acc_norm": 0.8367346938775511, "acc_norm_stderr": 0.023661699177098608 }, "harness|hendrycksTest-sociology|5": { "acc": 0.9104477611940298, "acc_stderr": 0.02019067053502791, "acc_norm": 0.9104477611940298, "acc_norm_stderr": 0.02019067053502791 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.94, "acc_stderr": 0.02386832565759415, "acc_norm": 0.94, "acc_norm_stderr": 0.02386832565759415 }, "harness|hendrycksTest-virology|5": { "acc": 0.5662650602409639, "acc_stderr": 0.03858158940685515, "acc_norm": 0.5662650602409639, "acc_norm_stderr": 0.03858158940685515 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.8830409356725146, "acc_stderr": 0.024648068961366152, "acc_norm": 0.8830409356725146, "acc_norm_stderr": 0.024648068961366152 }, "harness|truthfulqa:mc|0": { "mc1": 0.4541003671970624, "mc1_stderr": 0.017429593091323522, "mc2": 0.619572860600058, "mc2_stderr": 0.014905285944975092 }, "harness|winogrande|5": { "acc": 0.8476716653512234, "acc_stderr": 0.010099208246065583 }, "harness|gsm8k|5": { "acc": 0.7134192570128886, "acc_stderr": 0.012454841668337688 } } ``` ## Dataset Details ### Dataset Description  - **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]  - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses  ### Direct Use  [More Information Needed] ### Out-of-Scope Use  [More Information Needed] ## Dataset Structure  [More Information Needed] ## Dataset Creation ### Curation Rationale  [More Information Needed] ### Source Data  #### Data Collection and Processing  [More Information Needed] #### Who are the source data producers?  [More Information Needed] ### Annotations [optional]  #### Annotation process  [More Information Needed] #### Who are the annotators?  [More Information Needed] #### Personal and Sensitive Information  [More Information Needed] ## Bias, Risks, and Limitations  [More Information Needed] ### Recommendations  Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional]  **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional]  [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]

jeremygf/domains-app-alpha

--- dataset_info: features: - name: text dtype: string - name: length dtype: int64 - name: ids sequence: int64 splits: - name: train num_bytes: 98587954 num_examples: 534152 download_size: 9814171 dataset_size: 98587954 configs: - config_name: default data_files: - split: train path: data/train-* ---

CyberHarem/closure_arknights

--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of Closure/クロージャ/可露希尔 (Arknights) This is the dataset of Closure/クロージャ/可露希尔 (Arknights), containing 132 images and their tags. The core tags of this character are `black_hair, long_hair, pointy_ears, red_eyes, hair_between_eyes, breasts, two_side_up`, which are pruned in this dataset. Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)). ## List of Packages | Name | Images | Size | Download | Type | Description | |:-----------------|---------:|:-----------|:-------------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------| | raw | 132 | 225.79 MiB | [Download](https://huggingface.co/datasets/CyberHarem/closure_arknights/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | | 1200 | 132 | 187.22 MiB | [Download](https://huggingface.co/datasets/CyberHarem/closure_arknights/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. | | stage3-p480-1200 | 327 | 374.75 MiB | [Download](https://huggingface.co/datasets/CyberHarem/closure_arknights/resolve/main/dataset-stage3-p480-1200.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | ### Load Raw Dataset with Waifuc We provide raw dataset (including tagged images) for [waifuc](https://deepghs.github.io/waifuc/main/tutorials/installation/index.html) loading. If you need this, just run the following code ```python import os import zipfile from huggingface_hub import hf_hub_download from waifuc.source import LocalSource # download raw archive file zip_file = hf_hub_download( repo_id='CyberHarem/closure_arknights', repo_type='dataset', filename='dataset-raw.zip', ) # extract files to your directory dataset_dir = 'dataset_dir' os.makedirs(dataset_dir, exist_ok=True) with zipfile.ZipFile(zip_file, 'r') as zf: zf.extractall(dataset_dir) # load the dataset with waifuc source = LocalSource(dataset_dir) for item in source: print(item.image, item.meta['filename'], item.meta['tags']) ``` ## List of Clusters List of tag clustering result, maybe some outfits can be mined here. ### Raw Text Version | # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | Tags | |----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | 0 | 27 | ![](samples/0/clu0-sample0.png) | ![](samples/0/clu0-sample1.png) | ![](samples/0/clu0-sample2.png) | ![](samples/0/clu0-sample3.png) | ![](samples/0/clu0-sample4.png) | 1girl, black_jacket, white_shirt, open_jacket, solo, looking_at_viewer, black_choker, smile, long_sleeves, simple_background, collarbone, white_background, open_mouth, upper_body, blush, fang, belt | ### Table Version | # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | black_jacket | white_shirt | open_jacket | solo | looking_at_viewer | black_choker | smile | long_sleeves | simple_background | collarbone | white_background | open_mouth | upper_body | blush | fang | belt | |----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:---------------|:--------------|:--------------|:-------|:--------------------|:---------------|:--------|:---------------|:--------------------|:-------------|:-------------------|:-------------|:-------------|:--------|:-------|:-------| | 0 | 27 | ![](samples/0/clu0-sample0.png) | ![](samples/0/clu0-sample1.png) | ![](samples/0/clu0-sample2.png) | ![](samples/0/clu0-sample3.png) | ![](samples/0/clu0-sample4.png) | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X |

open-llm-leaderboard/details_Sao10K__Venomia-m7

--- pretty_name: Evaluation run of Sao10K/Venomia-m7 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [Sao10K/Venomia-m7](https://huggingface.co/Sao10K/Venomia-m7) on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 63 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 (and is used to compute and display the aggregated 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_Sao10K__Venomia-m7\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-12-09T19:38:57.975905](https://huggingface.co/datasets/open-llm-leaderboard/details_Sao10K__Venomia-m7/blob/main/results_2023-12-09T19-38-57.975905.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\": 0.5994561896653553,\n\ \ \"acc_stderr\": 0.032914574924459074,\n \"acc_norm\": 0.6051903322222639,\n\ \ \"acc_norm_stderr\": 0.03358493802168653,\n \"mc1\": 0.34149326805385555,\n\ \ \"mc1_stderr\": 0.016600688619950826,\n \"mc2\": 0.49078721070216347,\n\ \ \"mc2_stderr\": 0.015495976475887885\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.5870307167235495,\n \"acc_stderr\": 0.014388344935398326,\n\ \ \"acc_norm\": 0.6313993174061433,\n \"acc_norm_stderr\": 0.014097810678042194\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6635132443736308,\n\ \ \"acc_stderr\": 0.004715419139697519,\n \"acc_norm\": 0.8399721171081458,\n\ \ \"acc_norm_stderr\": 0.0036588262081016106\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ : {\n \"acc\": 0.31,\n \"acc_stderr\": 0.04648231987117316,\n \ \ \"acc_norm\": 0.31,\n \"acc_norm_stderr\": 0.04648231987117316\n \ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.6,\n \ \ \"acc_stderr\": 0.042320736951515885,\n \"acc_norm\": 0.6,\n \"\ acc_norm_stderr\": 0.042320736951515885\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.6381578947368421,\n \"acc_stderr\": 0.039105257528497236,\n\ \ \"acc_norm\": 0.6381578947368421,\n \"acc_norm_stderr\": 0.039105257528497236\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.55,\n\ \ \"acc_stderr\": 0.05,\n \"acc_norm\": 0.55,\n \"acc_norm_stderr\"\ : 0.05\n },\n \"harness|hendrycksTest-clinical_knowledge|5\": {\n \"\ acc\": 0.6415094339622641,\n \"acc_stderr\": 0.02951470358398177,\n \ \ \"acc_norm\": 0.6415094339622641,\n \"acc_norm_stderr\": 0.02951470358398177\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.6875,\n\ \ \"acc_stderr\": 0.038760854559127644,\n \"acc_norm\": 0.6875,\n\ \ \"acc_norm_stderr\": 0.038760854559127644\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.42,\n \"acc_stderr\": 0.049604496374885836,\n \ \ \"acc_norm\": 0.42,\n \"acc_norm_stderr\": 0.049604496374885836\n \ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"\ acc\": 0.53,\n \"acc_stderr\": 0.050161355804659205,\n \"acc_norm\"\ : 0.53,\n \"acc_norm_stderr\": 0.050161355804659205\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ : {\n \"acc\": 0.31,\n \"acc_stderr\": 0.04648231987117316,\n \ \ \"acc_norm\": 0.31,\n \"acc_norm_stderr\": 0.04648231987117316\n \ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.5780346820809249,\n\ \ \"acc_stderr\": 0.0376574669386515,\n \"acc_norm\": 0.5780346820809249,\n\ \ \"acc_norm_stderr\": 0.0376574669386515\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.3431372549019608,\n \"acc_stderr\": 0.047240073523838876,\n\ \ \"acc_norm\": 0.3431372549019608,\n \"acc_norm_stderr\": 0.047240073523838876\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.78,\n \"acc_stderr\": 0.04163331998932262,\n \"acc_norm\": 0.78,\n\ \ \"acc_norm_stderr\": 0.04163331998932262\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.5276595744680851,\n \"acc_stderr\": 0.03263597118409769,\n\ \ \"acc_norm\": 0.5276595744680851,\n \"acc_norm_stderr\": 0.03263597118409769\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.39473684210526316,\n\ \ \"acc_stderr\": 0.045981880578165414,\n \"acc_norm\": 0.39473684210526316,\n\ \ \"acc_norm_stderr\": 0.045981880578165414\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.496551724137931,\n \"acc_stderr\": 0.041665675771015785,\n\ \ \"acc_norm\": 0.496551724137931,\n \"acc_norm_stderr\": 0.041665675771015785\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.3888888888888889,\n \"acc_stderr\": 0.02510742548113728,\n \"\ acc_norm\": 0.3888888888888889,\n \"acc_norm_stderr\": 0.02510742548113728\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.3412698412698413,\n\ \ \"acc_stderr\": 0.04240799327574925,\n \"acc_norm\": 0.3412698412698413,\n\ \ \"acc_norm_stderr\": 0.04240799327574925\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.32,\n \"acc_stderr\": 0.046882617226215034,\n \ \ \"acc_norm\": 0.32,\n \"acc_norm_stderr\": 0.046882617226215034\n \ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\"\ : 0.6870967741935484,\n \"acc_stderr\": 0.02637756702864586,\n \"\ acc_norm\": 0.6870967741935484,\n \"acc_norm_stderr\": 0.02637756702864586\n\ \ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\ : 0.4630541871921182,\n \"acc_stderr\": 0.035083705204426656,\n \"\ acc_norm\": 0.4630541871921182,\n \"acc_norm_stderr\": 0.035083705204426656\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.7,\n \"acc_stderr\": 0.046056618647183814,\n \"acc_norm\"\ : 0.7,\n \"acc_norm_stderr\": 0.046056618647183814\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.7454545454545455,\n \"acc_stderr\": 0.03401506715249039,\n\ \ \"acc_norm\": 0.7454545454545455,\n \"acc_norm_stderr\": 0.03401506715249039\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.7525252525252525,\n \"acc_stderr\": 0.03074630074212451,\n \"\ acc_norm\": 0.7525252525252525,\n \"acc_norm_stderr\": 0.03074630074212451\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.8238341968911918,\n \"acc_stderr\": 0.027493504244548057,\n\ \ \"acc_norm\": 0.8238341968911918,\n \"acc_norm_stderr\": 0.027493504244548057\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.6025641025641025,\n \"acc_stderr\": 0.024811920017903836,\n\ \ \"acc_norm\": 0.6025641025641025,\n \"acc_norm_stderr\": 0.024811920017903836\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.34814814814814815,\n \"acc_stderr\": 0.029045600290616255,\n \ \ \"acc_norm\": 0.34814814814814815,\n \"acc_norm_stderr\": 0.029045600290616255\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.6218487394957983,\n \"acc_stderr\": 0.031499305777849054,\n\ \ \"acc_norm\": 0.6218487394957983,\n \"acc_norm_stderr\": 0.031499305777849054\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.33774834437086093,\n \"acc_stderr\": 0.038615575462551684,\n \"\ acc_norm\": 0.33774834437086093,\n \"acc_norm_stderr\": 0.038615575462551684\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.7834862385321101,\n \"acc_stderr\": 0.017658710594443135,\n \"\ acc_norm\": 0.7834862385321101,\n \"acc_norm_stderr\": 0.017658710594443135\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.39351851851851855,\n \"acc_stderr\": 0.03331747876370312,\n \"\ acc_norm\": 0.39351851851851855,\n \"acc_norm_stderr\": 0.03331747876370312\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.803921568627451,\n \"acc_stderr\": 0.027865942286639318,\n \"\ acc_norm\": 0.803921568627451,\n \"acc_norm_stderr\": 0.027865942286639318\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.7510548523206751,\n \"acc_stderr\": 0.028146970599422644,\n \ \ \"acc_norm\": 0.7510548523206751,\n \"acc_norm_stderr\": 0.028146970599422644\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6547085201793722,\n\ \ \"acc_stderr\": 0.03191100192835794,\n \"acc_norm\": 0.6547085201793722,\n\ \ \"acc_norm_stderr\": 0.03191100192835794\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.7480916030534351,\n \"acc_stderr\": 0.03807387116306085,\n\ \ \"acc_norm\": 0.7480916030534351,\n \"acc_norm_stderr\": 0.03807387116306085\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.7107438016528925,\n \"acc_stderr\": 0.04139112727635463,\n \"\ acc_norm\": 0.7107438016528925,\n \"acc_norm_stderr\": 0.04139112727635463\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7129629629629629,\n\ \ \"acc_stderr\": 0.043733130409147614,\n \"acc_norm\": 0.7129629629629629,\n\ \ \"acc_norm_stderr\": 0.043733130409147614\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.7361963190184049,\n \"acc_stderr\": 0.03462419931615623,\n\ \ \"acc_norm\": 0.7361963190184049,\n \"acc_norm_stderr\": 0.03462419931615623\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.38392857142857145,\n\ \ \"acc_stderr\": 0.04616143075028547,\n \"acc_norm\": 0.38392857142857145,\n\ \ \"acc_norm_stderr\": 0.04616143075028547\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.7281553398058253,\n \"acc_stderr\": 0.044052680241409216,\n\ \ \"acc_norm\": 0.7281553398058253,\n \"acc_norm_stderr\": 0.044052680241409216\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8461538461538461,\n\ \ \"acc_stderr\": 0.023636873317489294,\n \"acc_norm\": 0.8461538461538461,\n\ \ \"acc_norm_stderr\": 0.023636873317489294\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.7,\n \"acc_stderr\": 0.046056618647183814,\n \ \ \"acc_norm\": 0.7,\n \"acc_norm_stderr\": 0.046056618647183814\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.8045977011494253,\n\ \ \"acc_stderr\": 0.014179171373424383,\n \"acc_norm\": 0.8045977011494253,\n\ \ \"acc_norm_stderr\": 0.014179171373424383\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.6734104046242775,\n \"acc_stderr\": 0.025248264774242832,\n\ \ \"acc_norm\": 0.6734104046242775,\n \"acc_norm_stderr\": 0.025248264774242832\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.30614525139664805,\n\ \ \"acc_stderr\": 0.01541449448790323,\n \"acc_norm\": 0.30614525139664805,\n\ \ \"acc_norm_stderr\": 0.01541449448790323\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.6862745098039216,\n \"acc_stderr\": 0.026568921015457152,\n\ \ \"acc_norm\": 0.6862745098039216,\n \"acc_norm_stderr\": 0.026568921015457152\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.6591639871382636,\n\ \ \"acc_stderr\": 0.026920841260776162,\n \"acc_norm\": 0.6591639871382636,\n\ \ \"acc_norm_stderr\": 0.026920841260776162\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.7037037037037037,\n \"acc_stderr\": 0.025407197798890162,\n\ \ \"acc_norm\": 0.7037037037037037,\n \"acc_norm_stderr\": 0.025407197798890162\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.44680851063829785,\n \"acc_stderr\": 0.029658235097666907,\n \ \ \"acc_norm\": 0.44680851063829785,\n \"acc_norm_stderr\": 0.029658235097666907\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.42959582790091266,\n\ \ \"acc_stderr\": 0.01264300462379021,\n \"acc_norm\": 0.42959582790091266,\n\ \ \"acc_norm_stderr\": 0.01264300462379021\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.6286764705882353,\n \"acc_stderr\": 0.02934980313976587,\n\ \ \"acc_norm\": 0.6286764705882353,\n \"acc_norm_stderr\": 0.02934980313976587\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.6274509803921569,\n \"acc_stderr\": 0.019559646809215923,\n \ \ \"acc_norm\": 0.6274509803921569,\n \"acc_norm_stderr\": 0.019559646809215923\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6363636363636364,\n\ \ \"acc_stderr\": 0.04607582090719976,\n \"acc_norm\": 0.6363636363636364,\n\ \ \"acc_norm_stderr\": 0.04607582090719976\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.7020408163265306,\n \"acc_stderr\": 0.029279567411065674,\n\ \ \"acc_norm\": 0.7020408163265306,\n \"acc_norm_stderr\": 0.029279567411065674\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8308457711442786,\n\ \ \"acc_stderr\": 0.026508590656233264,\n \"acc_norm\": 0.8308457711442786,\n\ \ \"acc_norm_stderr\": 0.026508590656233264\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.87,\n \"acc_stderr\": 0.033799766898963086,\n \ \ \"acc_norm\": 0.87,\n \"acc_norm_stderr\": 0.033799766898963086\n \ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5301204819277109,\n\ \ \"acc_stderr\": 0.03885425420866767,\n \"acc_norm\": 0.5301204819277109,\n\ \ \"acc_norm_stderr\": 0.03885425420866767\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.8070175438596491,\n \"acc_stderr\": 0.030267457554898458,\n\ \ \"acc_norm\": 0.8070175438596491,\n \"acc_norm_stderr\": 0.030267457554898458\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.34149326805385555,\n\ \ \"mc1_stderr\": 0.016600688619950826,\n \"mc2\": 0.49078721070216347,\n\ \ \"mc2_stderr\": 0.015495976475887885\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.7576953433307024,\n \"acc_stderr\": 0.012042352526174782\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.3237300985595148,\n \ \ \"acc_stderr\": 0.01288824739737114\n }\n}\n```" repo_url: https://huggingface.co/Sao10K/Venomia-m7 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_12_09T19_38_57.975905 path: - '**/details_harness|arc:challenge|25_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2023-12-09T19-38-57.975905.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '**/details_harness|gsm8k|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_12_09T19_38_57.975905 path: - '**/details_harness|hellaswag|10_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-management|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-management|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-12-09T19-38-57.975905.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '**/details_harness|hendrycksTest-management|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '**/details_harness|hendrycksTest-virology|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-09T19-38-57.975905.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_12_09T19_38_57.975905 path: - '**/details_harness|truthfulqa:mc|0_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2023-12-09T19-38-57.975905.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_12_09T19_38_57.975905 path: - '**/details_harness|winogrande|5_2023-12-09T19-38-57.975905.parquet' - split: latest path: - '**/details_harness|winogrande|5_2023-12-09T19-38-57.975905.parquet' - config_name: results data_files: - split: 2023_12_09T19_38_57.975905 path: - results_2023-12-09T19-38-57.975905.parquet - split: latest path: - results_2023-12-09T19-38-57.975905.parquet --- # Dataset Card for Evaluation run of Sao10K/Venomia-m7 ## Dataset Description - **Homepage:** - **Repository:** https://huggingface.co/Sao10K/Venomia-m7 - **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 [Sao10K/Venomia-m7](https://huggingface.co/Sao10K/Venomia-m7) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 63 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 (and is used to compute and display the aggregated 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_Sao10K__Venomia-m7", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-12-09T19:38:57.975905](https://huggingface.co/datasets/open-llm-leaderboard/details_Sao10K__Venomia-m7/blob/main/results_2023-12-09T19-38-57.975905.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": 0.5994561896653553, "acc_stderr": 0.032914574924459074, "acc_norm": 0.6051903322222639, "acc_norm_stderr": 0.03358493802168653, "mc1": 0.34149326805385555, "mc1_stderr": 0.016600688619950826, "mc2": 0.49078721070216347, "mc2_stderr": 0.015495976475887885 }, "harness|arc:challenge|25": { "acc": 0.5870307167235495, "acc_stderr": 0.014388344935398326, "acc_norm": 0.6313993174061433, "acc_norm_stderr": 0.014097810678042194 }, "harness|hellaswag|10": { "acc": 0.6635132443736308, "acc_stderr": 0.004715419139697519, "acc_norm": 0.8399721171081458, "acc_norm_stderr": 0.0036588262081016106 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.6, "acc_stderr": 0.042320736951515885, "acc_norm": 0.6, "acc_norm_stderr": 0.042320736951515885 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.6381578947368421, "acc_stderr": 0.039105257528497236, "acc_norm": 0.6381578947368421, "acc_norm_stderr": 0.039105257528497236 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.55, "acc_stderr": 0.05, "acc_norm": 0.55, "acc_norm_stderr": 0.05 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.6415094339622641, "acc_stderr": 0.02951470358398177, "acc_norm": 0.6415094339622641, "acc_norm_stderr": 0.02951470358398177 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.6875, "acc_stderr": 0.038760854559127644, "acc_norm": 0.6875, "acc_norm_stderr": 0.038760854559127644 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.42, "acc_stderr": 0.049604496374885836, "acc_norm": 0.42, "acc_norm_stderr": 0.049604496374885836 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.53, "acc_stderr": 0.050161355804659205, "acc_norm": 0.53, "acc_norm_stderr": 0.050161355804659205 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.5780346820809249, "acc_stderr": 0.0376574669386515, "acc_norm": 0.5780346820809249, "acc_norm_stderr": 0.0376574669386515 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.3431372549019608, "acc_stderr": 0.047240073523838876, "acc_norm": 0.3431372549019608, "acc_norm_stderr": 0.047240073523838876 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.78, "acc_stderr": 0.04163331998932262, "acc_norm": 0.78, "acc_norm_stderr": 0.04163331998932262 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.5276595744680851, "acc_stderr": 0.03263597118409769, "acc_norm": 0.5276595744680851, "acc_norm_stderr": 0.03263597118409769 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.39473684210526316, "acc_stderr": 0.045981880578165414, "acc_norm": 0.39473684210526316, "acc_norm_stderr": 0.045981880578165414 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.496551724137931, "acc_stderr": 0.041665675771015785, "acc_norm": 0.496551724137931, "acc_norm_stderr": 0.041665675771015785 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.3888888888888889, "acc_stderr": 0.02510742548113728, "acc_norm": 0.3888888888888889, "acc_norm_stderr": 0.02510742548113728 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.3412698412698413, "acc_stderr": 0.04240799327574925, "acc_norm": 0.3412698412698413, "acc_norm_stderr": 0.04240799327574925 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.32, "acc_stderr": 0.046882617226215034, "acc_norm": 0.32, "acc_norm_stderr": 0.046882617226215034 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.6870967741935484, "acc_stderr": 0.02637756702864586, "acc_norm": 0.6870967741935484, "acc_norm_stderr": 0.02637756702864586 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.4630541871921182, "acc_stderr": 0.035083705204426656, "acc_norm": 0.4630541871921182, "acc_norm_stderr": 0.035083705204426656 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.7, "acc_stderr": 0.046056618647183814, "acc_norm": 0.7, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.7454545454545455, "acc_stderr": 0.03401506715249039, "acc_norm": 0.7454545454545455, "acc_norm_stderr": 0.03401506715249039 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.7525252525252525, "acc_stderr": 0.03074630074212451, "acc_norm": 0.7525252525252525, "acc_norm_stderr": 0.03074630074212451 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.8238341968911918, "acc_stderr": 0.027493504244548057, "acc_norm": 0.8238341968911918, "acc_norm_stderr": 0.027493504244548057 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.6025641025641025, "acc_stderr": 0.024811920017903836, "acc_norm": 0.6025641025641025, "acc_norm_stderr": 0.024811920017903836 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.34814814814814815, "acc_stderr": 0.029045600290616255, "acc_norm": 0.34814814814814815, "acc_norm_stderr": 0.029045600290616255 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.6218487394957983, "acc_stderr": 0.031499305777849054, "acc_norm": 0.6218487394957983, "acc_norm_stderr": 0.031499305777849054 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.33774834437086093, "acc_stderr": 0.038615575462551684, "acc_norm": 0.33774834437086093, "acc_norm_stderr": 0.038615575462551684 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.7834862385321101, "acc_stderr": 0.017658710594443135, "acc_norm": 0.7834862385321101, "acc_norm_stderr": 0.017658710594443135 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.39351851851851855, "acc_stderr": 0.03331747876370312, "acc_norm": 0.39351851851851855, "acc_norm_stderr": 0.03331747876370312 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.803921568627451, "acc_stderr": 0.027865942286639318, "acc_norm": 0.803921568627451, "acc_norm_stderr": 0.027865942286639318 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.7510548523206751, "acc_stderr": 0.028146970599422644, "acc_norm": 0.7510548523206751, "acc_norm_stderr": 0.028146970599422644 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.6547085201793722, "acc_stderr": 0.03191100192835794, "acc_norm": 0.6547085201793722, "acc_norm_stderr": 0.03191100192835794 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.7480916030534351, "acc_stderr": 0.03807387116306085, "acc_norm": 0.7480916030534351, "acc_norm_stderr": 0.03807387116306085 }, "harness|hendrycksTest-international_law|5": { "acc": 0.7107438016528925, "acc_stderr": 0.04139112727635463, "acc_norm": 0.7107438016528925, "acc_norm_stderr": 0.04139112727635463 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.7129629629629629, "acc_stderr": 0.043733130409147614, "acc_norm": 0.7129629629629629, "acc_norm_stderr": 0.043733130409147614 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.7361963190184049, "acc_stderr": 0.03462419931615623, "acc_norm": 0.7361963190184049, "acc_norm_stderr": 0.03462419931615623 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.38392857142857145, "acc_stderr": 0.04616143075028547, "acc_norm": 0.38392857142857145, "acc_norm_stderr": 0.04616143075028547 }, "harness|hendrycksTest-management|5": { "acc": 0.7281553398058253, "acc_stderr": 0.044052680241409216, "acc_norm": 0.7281553398058253, "acc_norm_stderr": 0.044052680241409216 }, "harness|hendrycksTest-marketing|5": { "acc": 0.8461538461538461, "acc_stderr": 0.023636873317489294, "acc_norm": 0.8461538461538461, "acc_norm_stderr": 0.023636873317489294 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.7, "acc_stderr": 0.046056618647183814, "acc_norm": 0.7, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.8045977011494253, "acc_stderr": 0.014179171373424383, "acc_norm": 0.8045977011494253, "acc_norm_stderr": 0.014179171373424383 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.6734104046242775, "acc_stderr": 0.025248264774242832, "acc_norm": 0.6734104046242775, "acc_norm_stderr": 0.025248264774242832 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.30614525139664805, "acc_stderr": 0.01541449448790323, "acc_norm": 0.30614525139664805, "acc_norm_stderr": 0.01541449448790323 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.6862745098039216, "acc_stderr": 0.026568921015457152, "acc_norm": 0.6862745098039216, "acc_norm_stderr": 0.026568921015457152 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.6591639871382636, "acc_stderr": 0.026920841260776162, "acc_norm": 0.6591639871382636, "acc_norm_stderr": 0.026920841260776162 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.7037037037037037, "acc_stderr": 0.025407197798890162, "acc_norm": 0.7037037037037037, "acc_norm_stderr": 0.025407197798890162 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.44680851063829785, "acc_stderr": 0.029658235097666907, "acc_norm": 0.44680851063829785, "acc_norm_stderr": 0.029658235097666907 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.42959582790091266, "acc_stderr": 0.01264300462379021, "acc_norm": 0.42959582790091266, "acc_norm_stderr": 0.01264300462379021 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.6286764705882353, "acc_stderr": 0.02934980313976587, "acc_norm": 0.6286764705882353, "acc_norm_stderr": 0.02934980313976587 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.6274509803921569, "acc_stderr": 0.019559646809215923, "acc_norm": 0.6274509803921569, "acc_norm_stderr": 0.019559646809215923 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.6363636363636364, "acc_stderr": 0.04607582090719976, "acc_norm": 0.6363636363636364, "acc_norm_stderr": 0.04607582090719976 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.7020408163265306, "acc_stderr": 0.029279567411065674, "acc_norm": 0.7020408163265306, "acc_norm_stderr": 0.029279567411065674 }, "harness|hendrycksTest-sociology|5": { "acc": 0.8308457711442786, "acc_stderr": 0.026508590656233264, "acc_norm": 0.8308457711442786, "acc_norm_stderr": 0.026508590656233264 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.87, "acc_stderr": 0.033799766898963086, "acc_norm": 0.87, "acc_norm_stderr": 0.033799766898963086 }, "harness|hendrycksTest-virology|5": { "acc": 0.5301204819277109, "acc_stderr": 0.03885425420866767, "acc_norm": 0.5301204819277109, "acc_norm_stderr": 0.03885425420866767 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.8070175438596491, "acc_stderr": 0.030267457554898458, "acc_norm": 0.8070175438596491, "acc_norm_stderr": 0.030267457554898458 }, "harness|truthfulqa:mc|0": { "mc1": 0.34149326805385555, "mc1_stderr": 0.016600688619950826, "mc2": 0.49078721070216347, "mc2_stderr": 0.015495976475887885 }, "harness|winogrande|5": { "acc": 0.7576953433307024, "acc_stderr": 0.012042352526174782 }, "harness|gsm8k|5": { "acc": 0.3237300985595148, "acc_stderr": 0.01288824739737114 } } ``` ### 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]

haseong8012/child-50k-adult-30k_for-train

--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: text dtype: string - name: audio sequence: float32 splits: - name: train num_bytes: 15410653561 num_examples: 80000 download_size: 13245154984 dataset_size: 15410653561 --- # Dataset Card for "child-50k-adult-30k_for-train" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

Yura32000/eurosat

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': AnnualCrop '1': Forest '2': HerbaceousVegetation '3': Highway '4': Industrial '5': Pasture '6': PermanentCrop '7': Residential '8': River '9': SeaLake - name: choices dtype: int64 - name: prices dtype: int64 splits: - name: train num_bytes: 73997723.2 num_examples: 21600 - name: test num_bytes: 9241099.7 num_examples: 2700 - name: valid num_bytes: 9232043.9 num_examples: 2700 download_size: 91992228 dataset_size: 92470866.80000001 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* - split: valid path: data/valid-* --- # Dataset Card for Dataset Name  This dataset card aims to be a base template for new datasets. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/datasetcard_template.md?plain=1). ## Dataset Details ### Dataset Description  - **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]  - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses  ### Direct Use  [More Information Needed] ### Out-of-Scope Use  [More Information Needed] ## Dataset Structure  [More Information Needed] ## Dataset Creation ### Curation Rationale  [More Information Needed] ### Source Data  #### Data Collection and Processing  [More Information Needed] #### Who are the source data producers?  [More Information Needed] ### Annotations [optional]  #### Annotation process  [More Information Needed] #### Who are the annotators?  [More Information Needed] #### Personal and Sensitive Information  [More Information Needed] ## Bias, Risks, and Limitations  [More Information Needed] ### Recommendations  Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional]  **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional]  [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]

juancheng/MBE_height

--- configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* dataset_info: features: - name: pixel_values dtype: image - name: label dtype: image splits: - name: train num_bytes: 8983230.0 num_examples: 49 - name: validation num_bytes: 2439966.0 num_examples: 13 download_size: 0 dataset_size: 11423196.0 --- # Dataset Card for "MBE_height" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

Phando/nlvr2-resized

--- dataset_info: features: - name: identifier dtype: string - name: sentence dtype: string - name: label dtype: string - name: image0 dtype: image - name: image1 dtype: image splits: - name: train num_bytes: 40320845946.75 num_examples: 86373 - name: validation num_bytes: 3285815561.536 num_examples: 6982 download_size: 42185258650 dataset_size: 43606661508.286 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* ---

liuyanchen1015/MULTI_VALUE_cola_subord_conjunction_doubling

--- dataset_info: features: - name: sentence dtype: string - name: label dtype: int64 - name: idx dtype: int64 - name: value_score dtype: int64 splits: - name: dev num_bytes: 98 num_examples: 1 - name: test num_bytes: 185 num_examples: 2 - name: train num_bytes: 3322 num_examples: 34 download_size: 7915 dataset_size: 3605 --- # Dataset Card for "MULTI_VALUE_cola_subord_conjunction_doubling" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

faisal-hugging-face/plat-disease

--- license: other ---

Pratha1m/dataset_with_ocr

--- dataset_info: features: - name: id dtype: string - name: image sequence: sequence: sequence: uint8 - name: answer dtype: string - name: question dtype: string - name: words sequence: string - name: boxes sequence: sequence: int64 splits: - name: train num_bytes: 147847251 num_examples: 904 - name: test num_bytes: 30521871 num_examples: 190 download_size: 37387817 dataset_size: 178369122 --- # Dataset Card for "dataset_with_ocr" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

reza-alipour/CaHumnE

--- dataset_info: features: - name: id dtype: string - name: caption dtype: string - name: col1 dtype: image - name: col2 dtype: image - name: col3 dtype: image - name: col4 dtype: image splits: - name: train num_bytes: 270773121.0 num_examples: 200 download_size: 270781217 dataset_size: 270773121.0 configs: - config_name: default data_files: - split: train path: data/train-* ---

Veucci/turkish-lyric-to-genre

--- license: cc-by-nc-4.0 size_categories: - 1K<n<10K task_categories: - text-classification language: - tr tags: - music --- # Song Lyrics Dataset ## Description This dataset contains a collection of song lyrics from various artists and genres in Turkish. It is intended to be used for research, analysis, and other non-commercial purposes. ## Dataset Details The dataset is organized in a tabular format with the following columns: - `Genre` (int): Genre of the lyrics - `Lyrics` (str): The lyrics of the song. - Pop: 1085 rows - Rock: 765 rows - Hip-Hop: 969 rows - Arabesk: 353 rows ## Usage Feel free to use this dataset for non-commercial purposes such as academic research, natural language processing tasks, sentiment analysis, or personal projects. You are allowed to analyze, modify, and derive insights from the dataset. If you use this dataset in your work, we kindly request that you provide attribution by citing this repository or linking back to it. ## License This dataset is released under the Creative Commons Attribution-NonCommercial license. This means that you are not allowed to use the dataset for commercial purposes. For detailed information about the license, please refer to the [LICENSE](./LICENSE) file. ## Contact If you have any questions, suggestions, or concerns regarding this dataset, please feel free to reach out to email at [efe.ozkan732@gmail.com](mailto:efe.ozkan732@gmail.com). Happy exploring and analyzing the world of song lyrics!

liuyanchen1015/MULTI_VALUE_cola_acomp_focusing_like

--- dataset_info: features: - name: sentence dtype: string - name: label dtype: int64 - name: idx dtype: int64 - name: value_score dtype: int64 splits: - name: dev num_bytes: 10825 num_examples: 125 - name: test num_bytes: 11817 num_examples: 135 - name: train num_bytes: 89393 num_examples: 1108 download_size: 54146 dataset_size: 112035 --- # Dataset Card for "MULTI_VALUE_cola_acomp_focusing_like" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

open-llm-leaderboard/details_DreadPoor__Kindred-7B-slerp

--- pretty_name: Evaluation run of DreadPoor/Kindred-7B-slerp dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [DreadPoor/Kindred-7B-slerp](https://huggingface.co/DreadPoor/Kindred-7B-slerp)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 63 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 (and is used to compute and display the aggregated 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_DreadPoor__Kindred-7B-slerp\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-03-06T04:34:27.779341](https://huggingface.co/datasets/open-llm-leaderboard/details_DreadPoor__Kindred-7B-slerp/blob/main/results_2024-03-06T04-34-27.779341.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\": 0.652918276624435,\n\ \ \"acc_stderr\": 0.03217962561512012,\n \"acc_norm\": 0.6527130051694514,\n\ \ \"acc_norm_stderr\": 0.0328482909372264,\n \"mc1\": 0.5250917992656059,\n\ \ \"mc1_stderr\": 0.017481446804104014,\n \"mc2\": 0.6812302607383641,\n\ \ \"mc2_stderr\": 0.014858561443304524\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.6800341296928327,\n \"acc_stderr\": 0.01363134580701619,\n\ \ \"acc_norm\": 0.7175767918088737,\n \"acc_norm_stderr\": 0.013155456884097225\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.7001593308105954,\n\ \ \"acc_stderr\": 0.004572515919210697,\n \"acc_norm\": 0.8778131846245768,\n\ \ \"acc_norm_stderr\": 0.0032683212609136295\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ : {\n \"acc\": 0.35,\n \"acc_stderr\": 0.0479372485441102,\n \ \ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.0479372485441102\n },\n\ \ \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.6518518518518519,\n\ \ \"acc_stderr\": 0.041153246103369526,\n \"acc_norm\": 0.6518518518518519,\n\ \ \"acc_norm_stderr\": 0.041153246103369526\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.6907894736842105,\n \"acc_stderr\": 0.037610708698674805,\n\ \ \"acc_norm\": 0.6907894736842105,\n \"acc_norm_stderr\": 0.037610708698674805\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.64,\n\ \ \"acc_stderr\": 0.04824181513244218,\n \"acc_norm\": 0.64,\n \ \ \"acc_norm_stderr\": 0.04824181513244218\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.7169811320754716,\n \"acc_stderr\": 0.027724236492700918,\n\ \ \"acc_norm\": 0.7169811320754716,\n \"acc_norm_stderr\": 0.027724236492700918\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.7847222222222222,\n\ \ \"acc_stderr\": 0.03437079344106135,\n \"acc_norm\": 0.7847222222222222,\n\ \ \"acc_norm_stderr\": 0.03437079344106135\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.48,\n \"acc_stderr\": 0.050211673156867795,\n \ \ \"acc_norm\": 0.48,\n \"acc_norm_stderr\": 0.050211673156867795\n \ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"\ acc\": 0.51,\n \"acc_stderr\": 0.05024183937956912,\n \"acc_norm\"\ : 0.51,\n \"acc_norm_stderr\": 0.05024183937956912\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ : {\n \"acc\": 0.32,\n \"acc_stderr\": 0.04688261722621504,\n \ \ \"acc_norm\": 0.32,\n \"acc_norm_stderr\": 0.04688261722621504\n \ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.6820809248554913,\n\ \ \"acc_stderr\": 0.0355068398916558,\n \"acc_norm\": 0.6820809248554913,\n\ \ \"acc_norm_stderr\": 0.0355068398916558\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.45098039215686275,\n \"acc_stderr\": 0.04951218252396262,\n\ \ \"acc_norm\": 0.45098039215686275,\n \"acc_norm_stderr\": 0.04951218252396262\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.78,\n \"acc_stderr\": 0.04163331998932263,\n \"acc_norm\": 0.78,\n\ \ \"acc_norm_stderr\": 0.04163331998932263\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.5872340425531914,\n \"acc_stderr\": 0.03218471141400351,\n\ \ \"acc_norm\": 0.5872340425531914,\n \"acc_norm_stderr\": 0.03218471141400351\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.5087719298245614,\n\ \ \"acc_stderr\": 0.047028804320496165,\n \"acc_norm\": 0.5087719298245614,\n\ \ \"acc_norm_stderr\": 0.047028804320496165\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.593103448275862,\n \"acc_stderr\": 0.04093793981266236,\n\ \ \"acc_norm\": 0.593103448275862,\n \"acc_norm_stderr\": 0.04093793981266236\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.42063492063492064,\n \"acc_stderr\": 0.025424835086924003,\n \"\ acc_norm\": 0.42063492063492064,\n \"acc_norm_stderr\": 0.025424835086924003\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.47619047619047616,\n\ \ \"acc_stderr\": 0.04467062628403273,\n \"acc_norm\": 0.47619047619047616,\n\ \ \"acc_norm_stderr\": 0.04467062628403273\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.33,\n \"acc_stderr\": 0.04725815626252604,\n \ \ \"acc_norm\": 0.33,\n \"acc_norm_stderr\": 0.04725815626252604\n \ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.7806451612903226,\n\ \ \"acc_stderr\": 0.023540799358723295,\n \"acc_norm\": 0.7806451612903226,\n\ \ \"acc_norm_stderr\": 0.023540799358723295\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\ : {\n \"acc\": 0.4975369458128079,\n \"acc_stderr\": 0.03517945038691063,\n\ \ \"acc_norm\": 0.4975369458128079,\n \"acc_norm_stderr\": 0.03517945038691063\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.67,\n \"acc_stderr\": 0.04725815626252607,\n \"acc_norm\"\ : 0.67,\n \"acc_norm_stderr\": 0.04725815626252607\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.7696969696969697,\n \"acc_stderr\": 0.0328766675860349,\n\ \ \"acc_norm\": 0.7696969696969697,\n \"acc_norm_stderr\": 0.0328766675860349\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.797979797979798,\n \"acc_stderr\": 0.02860620428922987,\n \"acc_norm\"\ : 0.797979797979798,\n \"acc_norm_stderr\": 0.02860620428922987\n },\n\ \ \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n \ \ \"acc\": 0.9015544041450777,\n \"acc_stderr\": 0.021500249576033456,\n\ \ \"acc_norm\": 0.9015544041450777,\n \"acc_norm_stderr\": 0.021500249576033456\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.676923076923077,\n \"acc_stderr\": 0.02371088850197057,\n \ \ \"acc_norm\": 0.676923076923077,\n \"acc_norm_stderr\": 0.02371088850197057\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.35185185185185186,\n \"acc_stderr\": 0.029116617606083,\n \ \ \"acc_norm\": 0.35185185185185186,\n \"acc_norm_stderr\": 0.029116617606083\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.6932773109243697,\n \"acc_stderr\": 0.029953823891887034,\n\ \ \"acc_norm\": 0.6932773109243697,\n \"acc_norm_stderr\": 0.029953823891887034\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.3509933774834437,\n \"acc_stderr\": 0.03896981964257375,\n \"\ acc_norm\": 0.3509933774834437,\n \"acc_norm_stderr\": 0.03896981964257375\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.8477064220183487,\n \"acc_stderr\": 0.015405084393157074,\n \"\ acc_norm\": 0.8477064220183487,\n \"acc_norm_stderr\": 0.015405084393157074\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.5185185185185185,\n \"acc_stderr\": 0.03407632093854051,\n \"\ acc_norm\": 0.5185185185185185,\n \"acc_norm_stderr\": 0.03407632093854051\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.8382352941176471,\n \"acc_stderr\": 0.02584501798692692,\n \"\ acc_norm\": 0.8382352941176471,\n \"acc_norm_stderr\": 0.02584501798692692\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.8059071729957806,\n \"acc_stderr\": 0.025744902532290916,\n \ \ \"acc_norm\": 0.8059071729957806,\n \"acc_norm_stderr\": 0.025744902532290916\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6905829596412556,\n\ \ \"acc_stderr\": 0.03102441174057221,\n \"acc_norm\": 0.6905829596412556,\n\ \ \"acc_norm_stderr\": 0.03102441174057221\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.7480916030534351,\n \"acc_stderr\": 0.03807387116306085,\n\ \ \"acc_norm\": 0.7480916030534351,\n \"acc_norm_stderr\": 0.03807387116306085\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.7603305785123967,\n \"acc_stderr\": 0.03896878985070416,\n \"\ acc_norm\": 0.7603305785123967,\n \"acc_norm_stderr\": 0.03896878985070416\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7685185185185185,\n\ \ \"acc_stderr\": 0.04077494709252626,\n \"acc_norm\": 0.7685185185185185,\n\ \ \"acc_norm_stderr\": 0.04077494709252626\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.7607361963190185,\n \"acc_stderr\": 0.033519538795212696,\n\ \ \"acc_norm\": 0.7607361963190185,\n \"acc_norm_stderr\": 0.033519538795212696\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.42857142857142855,\n\ \ \"acc_stderr\": 0.04697113923010212,\n \"acc_norm\": 0.42857142857142855,\n\ \ \"acc_norm_stderr\": 0.04697113923010212\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.7475728155339806,\n \"acc_stderr\": 0.04301250399690878,\n\ \ \"acc_norm\": 0.7475728155339806,\n \"acc_norm_stderr\": 0.04301250399690878\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8803418803418803,\n\ \ \"acc_stderr\": 0.021262719400406964,\n \"acc_norm\": 0.8803418803418803,\n\ \ \"acc_norm_stderr\": 0.021262719400406964\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.72,\n \"acc_stderr\": 0.045126085985421276,\n \ \ \"acc_norm\": 0.72,\n \"acc_norm_stderr\": 0.045126085985421276\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.8263090676883781,\n\ \ \"acc_stderr\": 0.01354741565866226,\n \"acc_norm\": 0.8263090676883781,\n\ \ \"acc_norm_stderr\": 0.01354741565866226\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.7369942196531792,\n \"acc_stderr\": 0.023703099525258172,\n\ \ \"acc_norm\": 0.7369942196531792,\n \"acc_norm_stderr\": 0.023703099525258172\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.40893854748603353,\n\ \ \"acc_stderr\": 0.016442830654715544,\n \"acc_norm\": 0.40893854748603353,\n\ \ \"acc_norm_stderr\": 0.016442830654715544\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.696078431372549,\n \"acc_stderr\": 0.02633661346904663,\n\ \ \"acc_norm\": 0.696078431372549,\n \"acc_norm_stderr\": 0.02633661346904663\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.7202572347266881,\n\ \ \"acc_stderr\": 0.02549425935069491,\n \"acc_norm\": 0.7202572347266881,\n\ \ \"acc_norm_stderr\": 0.02549425935069491\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.7592592592592593,\n \"acc_stderr\": 0.02378858355165854,\n\ \ \"acc_norm\": 0.7592592592592593,\n \"acc_norm_stderr\": 0.02378858355165854\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.49645390070921985,\n \"acc_stderr\": 0.02982674915328092,\n \ \ \"acc_norm\": 0.49645390070921985,\n \"acc_norm_stderr\": 0.02982674915328092\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.46479791395045633,\n\ \ \"acc_stderr\": 0.012738547371303956,\n \"acc_norm\": 0.46479791395045633,\n\ \ \"acc_norm_stderr\": 0.012738547371303956\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.6764705882352942,\n \"acc_stderr\": 0.02841820861940676,\n\ \ \"acc_norm\": 0.6764705882352942,\n \"acc_norm_stderr\": 0.02841820861940676\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.684640522875817,\n \"acc_stderr\": 0.018798086284886887,\n \ \ \"acc_norm\": 0.684640522875817,\n \"acc_norm_stderr\": 0.018798086284886887\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6909090909090909,\n\ \ \"acc_stderr\": 0.044262946482000985,\n \"acc_norm\": 0.6909090909090909,\n\ \ \"acc_norm_stderr\": 0.044262946482000985\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.7387755102040816,\n \"acc_stderr\": 0.028123429335142783,\n\ \ \"acc_norm\": 0.7387755102040816,\n \"acc_norm_stderr\": 0.028123429335142783\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8308457711442786,\n\ \ \"acc_stderr\": 0.026508590656233264,\n \"acc_norm\": 0.8308457711442786,\n\ \ \"acc_norm_stderr\": 0.026508590656233264\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.85,\n \"acc_stderr\": 0.0358870281282637,\n \ \ \"acc_norm\": 0.85,\n \"acc_norm_stderr\": 0.0358870281282637\n },\n\ \ \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5421686746987951,\n\ \ \"acc_stderr\": 0.0387862677100236,\n \"acc_norm\": 0.5421686746987951,\n\ \ \"acc_norm_stderr\": 0.0387862677100236\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.8128654970760234,\n \"acc_stderr\": 0.02991312723236804,\n\ \ \"acc_norm\": 0.8128654970760234,\n \"acc_norm_stderr\": 0.02991312723236804\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.5250917992656059,\n\ \ \"mc1_stderr\": 0.017481446804104014,\n \"mc2\": 0.6812302607383641,\n\ \ \"mc2_stderr\": 0.014858561443304524\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.8310970797158642,\n \"acc_stderr\": 0.010529981411838911\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.7020470053070508,\n \ \ \"acc_stderr\": 0.01259793223291453\n }\n}\n```" repo_url: https://huggingface.co/DreadPoor/Kindred-7B-slerp 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: 2024_03_06T04_34_27.779341 path: - '**/details_harness|arc:challenge|25_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2024-03-06T04-34-27.779341.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '**/details_harness|gsm8k|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_03_06T04_34_27.779341 path: - '**/details_harness|hellaswag|10_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-management|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-management|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-03-06T04-34-27.779341.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '**/details_harness|hendrycksTest-anatomy|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '**/details_harness|hendrycksTest-astronomy|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '**/details_harness|hendrycksTest-college_biology|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '**/details_harness|hendrycksTest-college_physics|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '**/details_harness|hendrycksTest-computer_security|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '**/details_harness|hendrycksTest-econometrics|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '**/details_harness|hendrycksTest-global_facts|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '**/details_harness|hendrycksTest-human_aging|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '**/details_harness|hendrycksTest-international_law|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '**/details_harness|hendrycksTest-management|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '**/details_harness|hendrycksTest-marketing|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '**/details_harness|hendrycksTest-nutrition|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '**/details_harness|hendrycksTest-philosophy|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '**/details_harness|hendrycksTest-prehistory|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '**/details_harness|hendrycksTest-professional_law|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '**/details_harness|hendrycksTest-public_relations|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '**/details_harness|hendrycksTest-security_studies|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '**/details_harness|hendrycksTest-sociology|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '**/details_harness|hendrycksTest-virology|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '**/details_harness|hendrycksTest-world_religions|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2024-03-06T04-34-27.779341.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_03_06T04_34_27.779341 path: - '**/details_harness|truthfulqa:mc|0_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2024-03-06T04-34-27.779341.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_03_06T04_34_27.779341 path: - '**/details_harness|winogrande|5_2024-03-06T04-34-27.779341.parquet' - split: latest path: - '**/details_harness|winogrande|5_2024-03-06T04-34-27.779341.parquet' - config_name: results data_files: - split: 2024_03_06T04_34_27.779341 path: - results_2024-03-06T04-34-27.779341.parquet - split: latest path: - results_2024-03-06T04-34-27.779341.parquet --- # Dataset Card for Evaluation run of DreadPoor/Kindred-7B-slerp  Dataset automatically created during the evaluation run of model [DreadPoor/Kindred-7B-slerp](https://huggingface.co/DreadPoor/Kindred-7B-slerp) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 63 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 (and is used to compute and display the aggregated 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_DreadPoor__Kindred-7B-slerp", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-03-06T04:34:27.779341](https://huggingface.co/datasets/open-llm-leaderboard/details_DreadPoor__Kindred-7B-slerp/blob/main/results_2024-03-06T04-34-27.779341.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": 0.652918276624435, "acc_stderr": 0.03217962561512012, "acc_norm": 0.6527130051694514, "acc_norm_stderr": 0.0328482909372264, "mc1": 0.5250917992656059, "mc1_stderr": 0.017481446804104014, "mc2": 0.6812302607383641, "mc2_stderr": 0.014858561443304524 }, "harness|arc:challenge|25": { "acc": 0.6800341296928327, "acc_stderr": 0.01363134580701619, "acc_norm": 0.7175767918088737, "acc_norm_stderr": 0.013155456884097225 }, "harness|hellaswag|10": { "acc": 0.7001593308105954, "acc_stderr": 0.004572515919210697, "acc_norm": 0.8778131846245768, "acc_norm_stderr": 0.0032683212609136295 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.35, "acc_stderr": 0.0479372485441102, "acc_norm": 0.35, "acc_norm_stderr": 0.0479372485441102 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.6518518518518519, "acc_stderr": 0.041153246103369526, "acc_norm": 0.6518518518518519, "acc_norm_stderr": 0.041153246103369526 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.6907894736842105, "acc_stderr": 0.037610708698674805, "acc_norm": 0.6907894736842105, "acc_norm_stderr": 0.037610708698674805 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.64, "acc_stderr": 0.04824181513244218, "acc_norm": 0.64, "acc_norm_stderr": 0.04824181513244218 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.7169811320754716, "acc_stderr": 0.027724236492700918, "acc_norm": 0.7169811320754716, "acc_norm_stderr": 0.027724236492700918 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.7847222222222222, "acc_stderr": 0.03437079344106135, "acc_norm": 0.7847222222222222, "acc_norm_stderr": 0.03437079344106135 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.48, "acc_stderr": 0.050211673156867795, "acc_norm": 0.48, "acc_norm_stderr": 0.050211673156867795 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.51, "acc_stderr": 0.05024183937956912, "acc_norm": 0.51, "acc_norm_stderr": 0.05024183937956912 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.32, "acc_stderr": 0.04688261722621504, "acc_norm": 0.32, "acc_norm_stderr": 0.04688261722621504 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.6820809248554913, "acc_stderr": 0.0355068398916558, "acc_norm": 0.6820809248554913, "acc_norm_stderr": 0.0355068398916558 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.45098039215686275, "acc_stderr": 0.04951218252396262, "acc_norm": 0.45098039215686275, "acc_norm_stderr": 0.04951218252396262 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.78, "acc_stderr": 0.04163331998932263, "acc_norm": 0.78, "acc_norm_stderr": 0.04163331998932263 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.5872340425531914, "acc_stderr": 0.03218471141400351, "acc_norm": 0.5872340425531914, "acc_norm_stderr": 0.03218471141400351 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.5087719298245614, "acc_stderr": 0.047028804320496165, "acc_norm": 0.5087719298245614, "acc_norm_stderr": 0.047028804320496165 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.593103448275862, "acc_stderr": 0.04093793981266236, "acc_norm": 0.593103448275862, "acc_norm_stderr": 0.04093793981266236 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.42063492063492064, "acc_stderr": 0.025424835086924003, "acc_norm": 0.42063492063492064, "acc_norm_stderr": 0.025424835086924003 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.47619047619047616, "acc_stderr": 0.04467062628403273, "acc_norm": 0.47619047619047616, "acc_norm_stderr": 0.04467062628403273 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.33, "acc_stderr": 0.04725815626252604, "acc_norm": 0.33, "acc_norm_stderr": 0.04725815626252604 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.7806451612903226, "acc_stderr": 0.023540799358723295, "acc_norm": 0.7806451612903226, "acc_norm_stderr": 0.023540799358723295 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.4975369458128079, "acc_stderr": 0.03517945038691063, "acc_norm": 0.4975369458128079, "acc_norm_stderr": 0.03517945038691063 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.67, "acc_stderr": 0.04725815626252607, "acc_norm": 0.67, "acc_norm_stderr": 0.04725815626252607 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.7696969696969697, "acc_stderr": 0.0328766675860349, "acc_norm": 0.7696969696969697, "acc_norm_stderr": 0.0328766675860349 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.797979797979798, "acc_stderr": 0.02860620428922987, "acc_norm": 0.797979797979798, "acc_norm_stderr": 0.02860620428922987 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.9015544041450777, "acc_stderr": 0.021500249576033456, "acc_norm": 0.9015544041450777, "acc_norm_stderr": 0.021500249576033456 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.676923076923077, "acc_stderr": 0.02371088850197057, "acc_norm": 0.676923076923077, "acc_norm_stderr": 0.02371088850197057 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.35185185185185186, "acc_stderr": 0.029116617606083, "acc_norm": 0.35185185185185186, "acc_norm_stderr": 0.029116617606083 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.6932773109243697, "acc_stderr": 0.029953823891887034, "acc_norm": 0.6932773109243697, "acc_norm_stderr": 0.029953823891887034 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.3509933774834437, "acc_stderr": 0.03896981964257375, "acc_norm": 0.3509933774834437, "acc_norm_stderr": 0.03896981964257375 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.8477064220183487, "acc_stderr": 0.015405084393157074, "acc_norm": 0.8477064220183487, "acc_norm_stderr": 0.015405084393157074 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.5185185185185185, "acc_stderr": 0.03407632093854051, "acc_norm": 0.5185185185185185, "acc_norm_stderr": 0.03407632093854051 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.8382352941176471, "acc_stderr": 0.02584501798692692, "acc_norm": 0.8382352941176471, "acc_norm_stderr": 0.02584501798692692 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.8059071729957806, "acc_stderr": 0.025744902532290916, "acc_norm": 0.8059071729957806, "acc_norm_stderr": 0.025744902532290916 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.6905829596412556, "acc_stderr": 0.03102441174057221, "acc_norm": 0.6905829596412556, "acc_norm_stderr": 0.03102441174057221 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.7480916030534351, "acc_stderr": 0.03807387116306085, "acc_norm": 0.7480916030534351, "acc_norm_stderr": 0.03807387116306085 }, "harness|hendrycksTest-international_law|5": { "acc": 0.7603305785123967, "acc_stderr": 0.03896878985070416, "acc_norm": 0.7603305785123967, "acc_norm_stderr": 0.03896878985070416 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.7685185185185185, "acc_stderr": 0.04077494709252626, "acc_norm": 0.7685185185185185, "acc_norm_stderr": 0.04077494709252626 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.7607361963190185, "acc_stderr": 0.033519538795212696, "acc_norm": 0.7607361963190185, "acc_norm_stderr": 0.033519538795212696 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.42857142857142855, "acc_stderr": 0.04697113923010212, "acc_norm": 0.42857142857142855, "acc_norm_stderr": 0.04697113923010212 }, "harness|hendrycksTest-management|5": { "acc": 0.7475728155339806, "acc_stderr": 0.04301250399690878, "acc_norm": 0.7475728155339806, "acc_norm_stderr": 0.04301250399690878 }, "harness|hendrycksTest-marketing|5": { "acc": 0.8803418803418803, "acc_stderr": 0.021262719400406964, "acc_norm": 0.8803418803418803, "acc_norm_stderr": 0.021262719400406964 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.72, "acc_stderr": 0.045126085985421276, "acc_norm": 0.72, "acc_norm_stderr": 0.045126085985421276 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.8263090676883781, "acc_stderr": 0.01354741565866226, "acc_norm": 0.8263090676883781, "acc_norm_stderr": 0.01354741565866226 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.7369942196531792, "acc_stderr": 0.023703099525258172, "acc_norm": 0.7369942196531792, "acc_norm_stderr": 0.023703099525258172 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.40893854748603353, "acc_stderr": 0.016442830654715544, "acc_norm": 0.40893854748603353, "acc_norm_stderr": 0.016442830654715544 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.696078431372549, "acc_stderr": 0.02633661346904663, "acc_norm": 0.696078431372549, "acc_norm_stderr": 0.02633661346904663 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.7202572347266881, "acc_stderr": 0.02549425935069491, "acc_norm": 0.7202572347266881, "acc_norm_stderr": 0.02549425935069491 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.7592592592592593, "acc_stderr": 0.02378858355165854, "acc_norm": 0.7592592592592593, "acc_norm_stderr": 0.02378858355165854 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.49645390070921985, "acc_stderr": 0.02982674915328092, "acc_norm": 0.49645390070921985, "acc_norm_stderr": 0.02982674915328092 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.46479791395045633, "acc_stderr": 0.012738547371303956, "acc_norm": 0.46479791395045633, "acc_norm_stderr": 0.012738547371303956 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.6764705882352942, "acc_stderr": 0.02841820861940676, "acc_norm": 0.6764705882352942, "acc_norm_stderr": 0.02841820861940676 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.684640522875817, "acc_stderr": 0.018798086284886887, "acc_norm": 0.684640522875817, "acc_norm_stderr": 0.018798086284886887 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.6909090909090909, "acc_stderr": 0.044262946482000985, "acc_norm": 0.6909090909090909, "acc_norm_stderr": 0.044262946482000985 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.7387755102040816, "acc_stderr": 0.028123429335142783, "acc_norm": 0.7387755102040816, "acc_norm_stderr": 0.028123429335142783 }, "harness|hendrycksTest-sociology|5": { "acc": 0.8308457711442786, "acc_stderr": 0.026508590656233264, "acc_norm": 0.8308457711442786, "acc_norm_stderr": 0.026508590656233264 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.85, "acc_stderr": 0.0358870281282637, "acc_norm": 0.85, "acc_norm_stderr": 0.0358870281282637 }, "harness|hendrycksTest-virology|5": { "acc": 0.5421686746987951, "acc_stderr": 0.0387862677100236, "acc_norm": 0.5421686746987951, "acc_norm_stderr": 0.0387862677100236 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.8128654970760234, "acc_stderr": 0.02991312723236804, "acc_norm": 0.8128654970760234, "acc_norm_stderr": 0.02991312723236804 }, "harness|truthfulqa:mc|0": { "mc1": 0.5250917992656059, "mc1_stderr": 0.017481446804104014, "mc2": 0.6812302607383641, "mc2_stderr": 0.014858561443304524 }, "harness|winogrande|5": { "acc": 0.8310970797158642, "acc_stderr": 0.010529981411838911 }, "harness|gsm8k|5": { "acc": 0.7020470053070508, "acc_stderr": 0.01259793223291453 } } ``` ## Dataset Details ### Dataset Description  - **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]  - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses  ### Direct Use  [More Information Needed] ### Out-of-Scope Use  [More Information Needed] ## Dataset Structure  [More Information Needed] ## Dataset Creation ### Curation Rationale  [More Information Needed] ### Source Data  #### Data Collection and Processing  [More Information Needed] #### Who are the source data producers?  [More Information Needed] ### Annotations [optional]  #### Annotation process  [More Information Needed] #### Who are the annotators?  [More Information Needed] #### Personal and Sensitive Information  [More Information Needed] ## Bias, Risks, and Limitations  [More Information Needed] ### Recommendations  Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional]  **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional]  [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]

ArmelR/hundred

--- dataset_info: features: - name: question_id dtype: int64 - name: parent_answer_post_id dtype: int64 - name: prob dtype: float64 - name: snippet dtype: string - name: intent dtype: string - name: id dtype: string - name: rewritten_intent dtype: string splits: - name: train num_bytes: 20242 num_examples: 100 - name: test num_bytes: 1397 num_examples: 7 download_size: 23587 dataset_size: 21639 --- # Dataset Card for "hundred" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

Ryan-Pupia/CS482-HousingDataSet

--- dataset_info: features: - name: log_stand__housing_median_age dtype: float64 - name: log_stand__total_rooms dtype: float64 - name: log_stand__total_bedrooms dtype: float64 - name: log_stand__population dtype: float64 - name: log_stand__households dtype: float64 - name: log_stand__median_income dtype: float64 - name: log_stand__median_house_value dtype: float64 - name: encode__ocean_proximity_<1H OCEAN dtype: float64 - name: encode__ocean_proximity_INLAND dtype: float64 - name: encode__ocean_proximity_ISLAND dtype: float64 - name: encode__ocean_proximity_NEAR BAY dtype: float64 - name: encode__ocean_proximity_NEAR OCEAN dtype: float64 - name: scale__longitude dtype: float64 - name: scale__latitude dtype: float64 splits: - name: train num_bytes: 1648864 num_examples: 14722 - name: test num_bytes: 412272 num_examples: 3681 download_size: 1130408 dataset_size: 2061136 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* license: mit language: - en pretty_name: Pre-Processed Housing Data --- This dataset consists of processed and separated data for producing and validating a model using california housing data

IWant2TryHard/ytcomments

--- license: mit ---

raicrits/news_urls

--- license: other --- A collection of about 21k urls of news articles taken from RAI news sites (national and regionals). The file ("urls_train_set.csv") contains around 20k of them reffering to articles published in the period 01/01/2022 – 09/03/2023 while the file ("urls_test_set.csv") contains urls referring to articles published in the period 10/03/2023 - 04/05/2023.

mask-distilled-onesec-cv12-each-chunk-uniq/chunk_191

--- dataset_info: features: - name: logits sequence: float32 - name: mfcc sequence: sequence: float64 splits: - name: train num_bytes: 1308756024.0 num_examples: 257022 download_size: 1335935590 dataset_size: 1308756024.0 --- # Dataset Card for "chunk_191" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

zolak/twitter_dataset_50_1713096786

--- dataset_info: features: - name: id dtype: string - name: tweet_content dtype: string - name: user_name dtype: string - name: user_id dtype: string - name: created_at dtype: string - name: url dtype: string - name: favourite_count dtype: int64 - name: scraped_at dtype: string - name: image_urls dtype: string splits: - name: train num_bytes: 2815459 num_examples: 6945 download_size: 1444421 dataset_size: 2815459 configs: - config_name: default data_files: - split: train path: data/train-* ---

eb/num2

--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 130139906 num_examples: 1000000 download_size: 69692182 dataset_size: 130139906 configs: - config_name: default data_files: - split: train path: data/train-* ---

akhmedsakip/music-berkeley-emotions

--- dataset_info: features: - name: audio dtype: audio: sampling_rate: 16000 - name: label dtype: class_label: names: '0': L '1': A '2': K '3': D '4': C '5': H '6': F '7': E '8': J '9': G '10': M '11': B '12': I splits: - name: train num_bytes: 225090972.57043225 num_examples: 1392 - name: test num_bytes: 39838241.765567765 num_examples: 246 download_size: 263271905 dataset_size: 264929214.33600003 --- # Dataset Card for "music-berkeley-emotions" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

sachith-surge/LaMini-LM-raw-instruction-only-dataset-TheBloke-h2ogpt-falcon-40b-v2-GGML

--- dataset_info: features: - name: instruction dtype: string - name: source dtype: string splits: - name: train num_bytes: 401407.7971614429 num_examples: 1505 download_size: 212603 dataset_size: 401407.7971614429 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "LaMini-LM-raw-instruction-only-dataset-TheBloke-h2ogpt-falcon-40b-v2-GGML" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

Vinnyyw/Maitesong

--- license: openrail ---

KnutJaegersberg/longinstruct

--- license: mit ---

GabiRayman/melodea_data_test_main

--- dataset_info: features: - name: Description dtype: string - name: label dtype: int64 splits: - name: train num_bytes: 31774 num_examples: 54 download_size: 21802 dataset_size: 31774 configs: - config_name: default data_files: - split: train path: data/train-* ---

lincoln/newsquadfr

--- annotations_creators: - private language_creators: null language: - fr-FR license: - cc-by-nc-sa-4.0 multilinguality: - monolingual size_categories: - 1K<n<10K source_datasets: - original - newspaper - online task_categories: - question-answering task_ids: - extractive-qa - open-domain-qa paperswithcode_id: null --- # Dataset Card for newsquadfr ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-instances) - [Data Splits](#data-instances) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) ## Dataset Description - **Homepage:** [lincoln.fr](https://www.lincoln.fr/) - **Repository:** [github/Lincoln-France](https://github.com/Lincoln-France) - **Paper:** [Needs More Information] - **Leaderboard:** [Needs More Information] - **Point of Contact:** [email](labinnovation@mel.lincoln.fr) ### Dataset Summary newsquadfr is a small dataset created for Question Answering task. Contexts are paragraphs of articles extracted from nine online french newspaper during year 2020/2021. newsquadfr stands for Newspaper question answering dataset in french. inspired by Piaf and Squad dataset. 2 520 triplets context - question - answer. ```py from datasets import load_dataset ds_name = 'lincoln/newsquadfr' # exemple 1 ds_newsquad = load_dataset(ds_name) # exemple 2 data_files = {'train': 'train.json', 'test': 'test.json', 'valid': 'valid.json'} ds_newsquad = load_dataset(ds_name, data_files=data_files) # exemple 3 ds_newsquad = load_dataset(ds_name, data_files=data_files, split="valid+test") ``` (train set) | website | Nb | |---------------|-----| | cnews | 20 | | francetvinfo | 40 | | la-croix | 375 | | lefigaro | 160 | | lemonde | 325 | | lesnumeriques | 70 | | numerama | 140 | | sudouest | 475 | | usinenouvelle | 45 | ### Supported Tasks and Leaderboards - extractive-qa - open-domain-qa ### Languages Fr-fr ## Dataset Structure ### Data Instances ```json {'answers': {'answer_start': [53], 'text': ['manSuvre "agressive']}, 'article_id': 34138, 'article_title': 'Caricatures, Libye, Haut-Karabakh... Les six dossiers qui ' 'opposent Emmanuel Macron et Recep Tayyip Erdogan.', 'article_url': 'https://www.francetvinfo.fr/monde/turquie/caricatures-libye-haut-karabakh-les-six-dossiers-qui-opposent-emmanuel-macron-et-recep-tayyip-erdogan_4155611.html#xtor=RSS-3-[france]', 'context': 'Dans ce contexte déjà tendu, la France a dénoncé une manSuvre ' '"agressive" de la part de frégates turques à l\'encontre de l\'un ' "de ses navires engagés dans une mission de l'Otan, le 10 juin. " 'Selon Paris, la frégate Le Courbet cherchait à identifier un ' 'cargo suspecté de transporter des armes vers la Libye quand elle ' 'a été illuminée à trois reprises par le radar de conduite de tir ' "de l'escorte turque.", 'id': '2261', 'paragraph_id': 201225, 'question': "Qu'est ce que la France reproche à la Turquie?", 'website': 'francetvinfo'} ``` ### Data Fields - `answers`: a dictionary feature containing: - `text`: a `string` feature. - `answer_start`: a `int64` feature. - `article_id`: a `int64` feature. - `article_title`: a string feature. - `article_url`: a string feature. - `context`: a `string` feature. - `id`: a `string` feature. - `paragraph_id`: a `int64` feature. - `question`: a `string` feature. - `website`: a `string` feature. ### Data Splits | Split | Nb | |-------|----| | train |1650| | test |415 | | valid |455 | ## Dataset Creation ### Curation Rationale [Needs More Information] ### Source Data #### Initial Data Collection and Normalization Paragraphs were chosen according to theses rules: - parent article must have more than 71% ASCII characters - paragraphs size must be between 170 and 670 characters - paragraphs shouldn't contain "A LIRE" or "A VOIR AUSSI" Then, we stratified our original dataset to create this dataset according to : - website - number of named entities - paragraph size #### Who are the source language producers? [Needs More Information] ### Annotations #### Annotation process Using Piaf annotation tools. Three different persons mostly. #### Who are the annotators? Lincoln ### Personal and Sensitive Information [Needs More Information] ## Considerations for Using the Data ### Social Impact of Dataset [Needs More Information] ### Discussion of Biases - Annotation is not well controlled - asking question on news is biaised ### Other Known Limitations [Needs More Information] ## Additional Information ### Dataset Curators [Needs More Information] ### Licensing Information https://creativecommons.org/licenses/by-nc-sa/4.0/deed.fr ### Citation Information [Needs More Information]

growth-cadet/criteria_validatorspass_eval_mistralfinetuned05_autotrain

--- dataset_info: features: - name: ats dtype: string - name: context dtype: string - name: sys5_obj struct: - name: focus_areas list: - name: description dtype: string - name: subject dtype: string - name: industries list: - name: description dtype: string - name: subject dtype: string - name: products_and_technologies list: - name: description dtype: string - name: subject dtype: string - name: eval_crit struct: - name: focus_areas dtype: float64 - name: industries dtype: float64 - name: products_and_technologies dtype: float64 - name: eval_values struct: - name: focus_areas sequence: int64 - name: industries sequence: int64 - name: products_and_technologies sequence: int64 - name: uuid dtype: string - name: prompt dtype: string - name: raw_output dtype: string - name: pass_pydantic dtype: int64 - name: pass_eval_embedd dtype: int64 - name: eval_finetuned_values struct: - name: focus_areas sequence: int64 - name: industries sequence: int64 - name: products_and_technologies sequence: int64 - name: eval_finetuned_crit struct: - name: focus_areas dtype: float64 - name: industries dtype: float64 - name: products_and_technologies dtype: float64 splits: - name: train num_bytes: 29402258 num_examples: 2148 download_size: 13743660 dataset_size: 29402258 configs: - config_name: default data_files: - split: train path: data/train-* ---

Marcola1/Marco

--- license: openrail ---

l4zy0n3/stripe_metrics_cyber_monday_23

--- license: gpl-3.0 ---

enoahjr/twitter_dataset_1713147710

--- dataset_info: features: - name: id dtype: string - name: tweet_content dtype: string - name: user_name dtype: string - name: user_id dtype: string - name: created_at dtype: string - name: url dtype: string - name: favourite_count dtype: int64 - name: scraped_at dtype: string - name: image_urls dtype: string splits: - name: train num_bytes: 90104 num_examples: 209 download_size: 29074 dataset_size: 90104 configs: - config_name: default data_files: - split: train path: data/train-* ---

open-llm-leaderboard/details_roneneldan__TinyStories-1M

--- pretty_name: Evaluation run of roneneldan/TinyStories-1M dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [roneneldan/TinyStories-1M](https://huggingface.co/roneneldan/TinyStories-1M)\ \ 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_roneneldan__TinyStories-1M\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-09-22T21:41:24.294253](https://huggingface.co/datasets/open-llm-leaderboard/details_roneneldan__TinyStories-1M/blob/main/results_2023-09-22T21-41-24.294253.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\": 0.00020973154362416107,\n\ \ \"em_stderr\": 0.00014829481977282063,\n \"f1\": 0.003178481543624158,\n\ \ \"f1_stderr\": 0.0002730192207643319,\n \"acc\": 0.26085240726124703,\n\ \ \"acc_stderr\": 0.007019619608242314\n },\n \"harness|drop|3\": {\n\ \ \"em\": 0.00020973154362416107,\n \"em_stderr\": 0.00014829481977282063,\n\ \ \"f1\": 0.003178481543624158,\n \"f1_stderr\": 0.0002730192207643319\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.0,\n \"acc_stderr\"\ : 0.0\n },\n \"harness|winogrande|5\": {\n \"acc\": 0.5217048145224941,\n\ \ \"acc_stderr\": 0.014039239216484627\n }\n}\n```" repo_url: https://huggingface.co/roneneldan/TinyStories-1M 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_07_19T13_25_02.593147 path: - '**/details_harness|arc:challenge|25_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2023-07-19T13:25:02.593147.parquet' - config_name: harness_drop_3 data_files: - split: 2023_09_22T21_41_24.294253 path: - '**/details_harness|drop|3_2023-09-22T21-41-24.294253.parquet' - split: latest path: - '**/details_harness|drop|3_2023-09-22T21-41-24.294253.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_09_22T21_41_24.294253 path: - '**/details_harness|gsm8k|5_2023-09-22T21-41-24.294253.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2023-09-22T21-41-24.294253.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_07_19T13_25_02.593147 path: - '**/details_harness|hellaswag|10_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-management|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-management|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-07-19T13:25:02.593147.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '**/details_harness|hendrycksTest-international_law|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '**/details_harness|hendrycksTest-management|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '**/details_harness|hendrycksTest-marketing|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '**/details_harness|hendrycksTest-sociology|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '**/details_harness|hendrycksTest-virology|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_07_19T13_25_02.593147 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2023-07-19T13:25:02.593147.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_07_19T13_25_02.593147 path: - '**/details_harness|truthfulqa:mc|0_2023-07-19T13:25:02.593147.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2023-07-19T13:25:02.593147.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_09_22T21_41_24.294253 path: - '**/details_harness|winogrande|5_2023-09-22T21-41-24.294253.parquet' - split: latest path: - '**/details_harness|winogrande|5_2023-09-22T21-41-24.294253.parquet' - config_name: results data_files: - split: 2023_07_19T13_25_02.593147 path: - results_2023-07-19T13:25:02.593147.parquet - split: 2023_09_22T21_41_24.294253 path: - results_2023-09-22T21-41-24.294253.parquet - split: latest path: - results_2023-09-22T21-41-24.294253.parquet --- # Dataset Card for Evaluation run of roneneldan/TinyStories-1M ## Dataset Description - **Homepage:** - **Repository:** https://huggingface.co/roneneldan/TinyStories-1M - **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 [roneneldan/TinyStories-1M](https://huggingface.co/roneneldan/TinyStories-1M) 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_roneneldan__TinyStories-1M", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-09-22T21:41:24.294253](https://huggingface.co/datasets/open-llm-leaderboard/details_roneneldan__TinyStories-1M/blob/main/results_2023-09-22T21-41-24.294253.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": 0.00020973154362416107, "em_stderr": 0.00014829481977282063, "f1": 0.003178481543624158, "f1_stderr": 0.0002730192207643319, "acc": 0.26085240726124703, "acc_stderr": 0.007019619608242314 }, "harness|drop|3": { "em": 0.00020973154362416107, "em_stderr": 0.00014829481977282063, "f1": 0.003178481543624158, "f1_stderr": 0.0002730192207643319 }, "harness|gsm8k|5": { "acc": 0.0, "acc_stderr": 0.0 }, "harness|winogrande|5": { "acc": 0.5217048145224941, "acc_stderr": 0.014039239216484627 } } ``` ### 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]

zzh1997/test

--- task_categories: - token-classification language: - ch pretty_name: ss ---

H-Huang/complex_word_identification

--- license: cc-by-4.0 --- source: https://www.inf.uni-hamburg.de/en/inst/ab/lt/resources/data/complex-word-identification-dataset.html

Yunij/fake_dataset_only

--- license: apache-2.0 dataset_info: features: - name: image dtype: string - name: actual dtype: int64 - name: feature_embeddings sequence: float64 splits: - name: train num_bytes: 764035610 num_examples: 123287 download_size: 622264333 dataset_size: 764035610 configs: - config_name: default data_files: - split: train path: data/train-* ---

arthurmluz/cstnews_data-wiki_1024_results

--- dataset_info: features: - name: id dtype: string - name: text dtype: string - name: summary dtype: string - name: gen_summary dtype: string - name: rouge struct: - name: rouge1 dtype: float64 - name: rouge2 dtype: float64 - name: rougeL dtype: float64 - name: rougeLsum dtype: float64 - name: bert struct: - name: f1 sequence: float64 - name: hashcode dtype: string - name: precision sequence: float64 - name: recall sequence: float64 - name: moverScore dtype: float64 splits: - name: validation num_bytes: 50681 num_examples: 16 download_size: 0 dataset_size: 50681 configs: - config_name: default data_files: - split: validation path: data/validation-* --- # Dataset Card for "cstnews_data-wiki_1024_results" rouge= {'rouge1': 0.2556160962870545, 'rouge2': 0.10105330295297661, 'rougeL': 0.18616276144956143, 'rougeLsum': 0.18616276144956143} bert= {'precision': 0.7447284124791622, 'recall': 0.6668070293962955, 'f1': 0.7032350450754166} mover = 0.5737413741663241

Hilalcelik/turkishReviews-ds-mini

--- dataset_info: features: - name: review dtype: string - name: review_length dtype: int64 splits: - name: train num_bytes: 1252876.2642514652 num_examples: 3378 - name: validation num_bytes: 139455.7357485349 num_examples: 376 download_size: 0 dataset_size: 1392332.0 --- # Dataset Card for "turkishReviews-ds-mini" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

mithlesh/Flight_Ticket_Booking_Json

--- dataset_info: features: - name: Context dtype: string - name: Knowledge dtype: string - name: Response dtype: string splits: - name: train num_bytes: 2418454 num_examples: 2126 download_size: 109855 dataset_size: 2418454 configs: - config_name: default data_files: - split: train path: data/train-* ---

deepghs/monochrome_danbooru

--- license: mit --- This dataset is designed to train models for monochrome image classification, and the data is mainly sourced from danbooru and pixiv. **All images in this dataset are guaranteed to be in JPEG format with a file extension of `.jpg`**. Currently, it has three different versions: | Version | Description | Monochrome Images | Normal Images | Total Images | |:-----------------------------------------------------------------------------:|:--------------------:|:-----------------:|:-------------:|:------------:| | [v1.0](https://huggingface.co/datasets/deepghs/monochrome_danbooru/tree/v1.0) | Oldest version | 304 | 174 | 478 | | [v1.1](https://huggingface.co/datasets/deepghs/monochrome_danbooru/tree/v1.1) | Balanced samples | 528 | 514 | 1042 | | [v2.0](https://huggingface.co/datasets/deepghs/monochrome_danbooru/tree/v2.0) | More complex samples | 2208 | 2250 | 4458 |

KoladeOdunope/RLHF_Dataset

--- dataset_info: features: - name: query dtype: string - name: rejected dtype: string - name: accepted dtype: string - name: __index_level_0__ dtype: string splits: - name: train num_bytes: 6406390 num_examples: 1029 download_size: 2612881 dataset_size: 6406390 configs: - config_name: default data_files: - split: train path: data/train-* ---

mouryachinta/yanthraa-mourya-1500

--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 1750135 num_examples: 1500 download_size: 1077149 dataset_size: 1750135 configs: - config_name: default data_files: - split: train path: data/train-* ---

thegreyhound/products

--- license: unknown ---

Mitsuki-Sakamoto/alpaca_farm-deberta-re-pref-64-_fil_self_160m_bo16_2_mix_50_kl_0.1_prm_70m_thr_0.3_seed_2

--- dataset_info: config_name: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1 features: - name: instruction dtype: string - name: input dtype: string - name: output dtype: string - name: preference dtype: int64 - name: output_1 dtype: string - name: output_2 dtype: string - name: reward_model_prompt_format dtype: string - name: gen_prompt_format dtype: string - name: gen_kwargs struct: - name: do_sample dtype: bool - name: max_new_tokens dtype: int64 - name: pad_token_id dtype: int64 - name: top_k dtype: int64 - name: top_p dtype: float64 - name: reward_1 dtype: float64 - name: reward_2 dtype: float64 - name: n_samples dtype: int64 - name: reject_select dtype: string - name: index dtype: int64 - name: prompt dtype: string - name: chosen dtype: string - name: rejected dtype: string - name: filtered_epoch dtype: int64 - name: gen_reward dtype: float64 - name: gen_response dtype: string splits: - name: epoch_0 num_bytes: 43761297 num_examples: 18928 - name: epoch_1 num_bytes: 44345524 num_examples: 18928 - name: epoch_2 num_bytes: 44437506 num_examples: 18928 - name: epoch_3 num_bytes: 44469689 num_examples: 18928 - name: epoch_4 num_bytes: 44474667 num_examples: 18928 - name: epoch_5 num_bytes: 44464460 num_examples: 18928 - name: epoch_6 num_bytes: 44442708 num_examples: 18928 - name: epoch_7 num_bytes: 44422364 num_examples: 18928 - name: epoch_8 num_bytes: 44414794 num_examples: 18928 - name: epoch_9 num_bytes: 44410898 num_examples: 18928 - name: epoch_10 num_bytes: 44411476 num_examples: 18928 - name: epoch_11 num_bytes: 44406870 num_examples: 18928 - name: epoch_12 num_bytes: 44409267 num_examples: 18928 - name: epoch_13 num_bytes: 44409143 num_examples: 18928 - name: epoch_14 num_bytes: 44408111 num_examples: 18928 - name: epoch_15 num_bytes: 44407603 num_examples: 18928 - name: epoch_16 num_bytes: 44408486 num_examples: 18928 - name: epoch_17 num_bytes: 44405857 num_examples: 18928 - name: epoch_18 num_bytes: 44406319 num_examples: 18928 - name: epoch_19 num_bytes: 44406957 num_examples: 18928 - name: epoch_20 num_bytes: 44405910 num_examples: 18928 - name: epoch_21 num_bytes: 44406498 num_examples: 18928 - name: epoch_22 num_bytes: 44406929 num_examples: 18928 - name: epoch_23 num_bytes: 44405194 num_examples: 18928 - name: epoch_24 num_bytes: 44405536 num_examples: 18928 - name: epoch_25 num_bytes: 44405889 num_examples: 18928 - name: epoch_26 num_bytes: 44404896 num_examples: 18928 - name: epoch_27 num_bytes: 44404886 num_examples: 18928 - name: epoch_28 num_bytes: 44406038 num_examples: 18928 - name: epoch_29 num_bytes: 44407507 num_examples: 18928 download_size: 700201551 dataset_size: 1331783279 configs: - config_name: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1 data_files: - split: epoch_0 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_0-* - split: epoch_1 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_1-* - split: epoch_2 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_2-* - split: epoch_3 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_3-* - split: epoch_4 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_4-* - split: epoch_5 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_5-* - split: epoch_6 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_6-* - split: epoch_7 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_7-* - split: epoch_8 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_8-* - split: epoch_9 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_9-* - split: epoch_10 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_10-* - split: epoch_11 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_11-* - split: epoch_12 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_12-* - split: epoch_13 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_13-* - split: epoch_14 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_14-* - split: epoch_15 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_15-* - split: epoch_16 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_16-* - split: epoch_17 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_17-* - split: epoch_18 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_18-* - split: epoch_19 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_19-* - split: epoch_20 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_20-* - split: epoch_21 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_21-* - split: epoch_22 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_22-* - split: epoch_23 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_23-* - split: epoch_24 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_24-* - split: epoch_25 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_25-* - split: epoch_26 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_26-* - split: epoch_27 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_27-* - split: epoch_28 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_28-* - split: epoch_29 path: alpaca_instructions-pythia_160m_alpaca_farm_instructions_sft_constant_pa_seed_1/epoch_29-* ---

pszemraj/bookcorpus_deduplicated-formatted

--- license: apache-2.0 task_categories: - text-generation language: - en source_datasets: - saibo/bookcorpus_deduplicated - bookcorpus --- # bookcorpus_deduplicated-formatted Based on `saibo/bookcorpus_deduplicated`, an attempt was made to fix , perhaps , issues like this where the whitespace is nonsensical . ## Why This Matters Spaces are like the unsung heroes of readable content . They maintain order , balance, and rhythm . But sometimes, they just want to rebel and go where they're not needed . Just like cats sitting where they shouldn't . Like, why are you on the fridge , Mr.Whiskers ?

results-sd-v1-5-sd-v2-1-if-v1-0-karlo/7bd33ae8

--- dataset_info: features: - name: result dtype: string - name: id dtype: int64 splits: - name: train num_bytes: 184 num_examples: 10 download_size: 1336 dataset_size: 184 --- # Dataset Card for "7bd33ae8" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

open-llm-leaderboard/details_alignment-handbook__zephyr-7b-dpo-qlora

--- pretty_name: Evaluation run of alignment-handbook/zephyr-7b-dpo-qlora dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [alignment-handbook/zephyr-7b-dpo-qlora](https://huggingface.co/alignment-handbook/zephyr-7b-dpo-qlora)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 63 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 (and is used to compute and display the aggregated 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_alignment-handbook__zephyr-7b-dpo-qlora\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-01-26T21:27:47.387655](https://huggingface.co/datasets/open-llm-leaderboard/details_alignment-handbook__zephyr-7b-dpo-qlora/blob/main/results_2024-01-26T21-27-47.387655.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\": 0.6369766338808557,\n\ \ \"acc_stderr\": 0.03238152491968989,\n \"acc_norm\": 0.641831921094304,\n\ \ \"acc_norm_stderr\": 0.033030780304730514,\n \"mc1\": 0.31701346389228885,\n\ \ \"mc1_stderr\": 0.016289203374403385,\n \"mc2\": 0.4714491532888518,\n\ \ \"mc2_stderr\": 0.014683410665396914\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.6083617747440273,\n \"acc_stderr\": 0.014264122124938217,\n\ \ \"acc_norm\": 0.636518771331058,\n \"acc_norm_stderr\": 0.014056207319068285\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.658334993029277,\n\ \ \"acc_stderr\": 0.004732986187325878,\n \"acc_norm\": 0.8535152360087632,\n\ \ \"acc_norm_stderr\": 0.0035286889976580533\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ : {\n \"acc\": 0.28,\n \"acc_stderr\": 0.04512608598542129,\n \ \ \"acc_norm\": 0.28,\n \"acc_norm_stderr\": 0.04512608598542129\n \ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.6074074074074074,\n\ \ \"acc_stderr\": 0.0421850621536888,\n \"acc_norm\": 0.6074074074074074,\n\ \ \"acc_norm_stderr\": 0.0421850621536888\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.6578947368421053,\n \"acc_stderr\": 0.03860731599316091,\n\ \ \"acc_norm\": 0.6578947368421053,\n \"acc_norm_stderr\": 0.03860731599316091\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.58,\n\ \ \"acc_stderr\": 0.049604496374885836,\n \"acc_norm\": 0.58,\n \ \ \"acc_norm_stderr\": 0.049604496374885836\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.7056603773584905,\n \"acc_stderr\": 0.02804918631569525,\n\ \ \"acc_norm\": 0.7056603773584905,\n \"acc_norm_stderr\": 0.02804918631569525\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.7291666666666666,\n\ \ \"acc_stderr\": 0.03716177437566017,\n \"acc_norm\": 0.7291666666666666,\n\ \ \"acc_norm_stderr\": 0.03716177437566017\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.5,\n \"acc_stderr\": 0.050251890762960605,\n \ \ \"acc_norm\": 0.5,\n \"acc_norm_stderr\": 0.050251890762960605\n \ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\ : 0.57,\n \"acc_stderr\": 0.049756985195624284,\n \"acc_norm\": 0.57,\n\ \ \"acc_norm_stderr\": 0.049756985195624284\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ : {\n \"acc\": 0.29,\n \"acc_stderr\": 0.045604802157206845,\n \ \ \"acc_norm\": 0.29,\n \"acc_norm_stderr\": 0.045604802157206845\n \ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.6647398843930635,\n\ \ \"acc_stderr\": 0.03599586301247077,\n \"acc_norm\": 0.6647398843930635,\n\ \ \"acc_norm_stderr\": 0.03599586301247077\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.4019607843137255,\n \"acc_stderr\": 0.048786087144669955,\n\ \ \"acc_norm\": 0.4019607843137255,\n \"acc_norm_stderr\": 0.048786087144669955\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.78,\n \"acc_stderr\": 0.04163331998932263,\n \"acc_norm\": 0.78,\n\ \ \"acc_norm_stderr\": 0.04163331998932263\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.5446808510638298,\n \"acc_stderr\": 0.03255525359340355,\n\ \ \"acc_norm\": 0.5446808510638298,\n \"acc_norm_stderr\": 0.03255525359340355\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.49122807017543857,\n\ \ \"acc_stderr\": 0.04702880432049615,\n \"acc_norm\": 0.49122807017543857,\n\ \ \"acc_norm_stderr\": 0.04702880432049615\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.5862068965517241,\n \"acc_stderr\": 0.04104269211806232,\n\ \ \"acc_norm\": 0.5862068965517241,\n \"acc_norm_stderr\": 0.04104269211806232\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.40476190476190477,\n \"acc_stderr\": 0.0252798503974049,\n \"\ acc_norm\": 0.40476190476190477,\n \"acc_norm_stderr\": 0.0252798503974049\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.42857142857142855,\n\ \ \"acc_stderr\": 0.04426266681379909,\n \"acc_norm\": 0.42857142857142855,\n\ \ \"acc_norm_stderr\": 0.04426266681379909\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.38,\n \"acc_stderr\": 0.04878317312145633,\n \ \ \"acc_norm\": 0.38,\n \"acc_norm_stderr\": 0.04878317312145633\n \ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.7548387096774194,\n\ \ \"acc_stderr\": 0.024472243840895525,\n \"acc_norm\": 0.7548387096774194,\n\ \ \"acc_norm_stderr\": 0.024472243840895525\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\ : {\n \"acc\": 0.5221674876847291,\n \"acc_stderr\": 0.03514528562175008,\n\ \ \"acc_norm\": 0.5221674876847291,\n \"acc_norm_stderr\": 0.03514528562175008\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.65,\n \"acc_stderr\": 0.04793724854411019,\n \"acc_norm\"\ : 0.65,\n \"acc_norm_stderr\": 0.04793724854411019\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.7515151515151515,\n \"acc_stderr\": 0.03374402644139403,\n\ \ \"acc_norm\": 0.7515151515151515,\n \"acc_norm_stderr\": 0.03374402644139403\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.7676767676767676,\n \"acc_stderr\": 0.030088629490217487,\n \"\ acc_norm\": 0.7676767676767676,\n \"acc_norm_stderr\": 0.030088629490217487\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.8756476683937824,\n \"acc_stderr\": 0.023814477086593542,\n\ \ \"acc_norm\": 0.8756476683937824,\n \"acc_norm_stderr\": 0.023814477086593542\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.6461538461538462,\n \"acc_stderr\": 0.024243783994062153,\n\ \ \"acc_norm\": 0.6461538461538462,\n \"acc_norm_stderr\": 0.024243783994062153\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.36666666666666664,\n \"acc_stderr\": 0.029381620726465076,\n \ \ \"acc_norm\": 0.36666666666666664,\n \"acc_norm_stderr\": 0.029381620726465076\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.6596638655462185,\n \"acc_stderr\": 0.030778057422931673,\n\ \ \"acc_norm\": 0.6596638655462185,\n \"acc_norm_stderr\": 0.030778057422931673\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.3443708609271523,\n \"acc_stderr\": 0.038796870240733264,\n \"\ acc_norm\": 0.3443708609271523,\n \"acc_norm_stderr\": 0.038796870240733264\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.818348623853211,\n \"acc_stderr\": 0.016530617409266878,\n \"\ acc_norm\": 0.818348623853211,\n \"acc_norm_stderr\": 0.016530617409266878\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.5416666666666666,\n \"acc_stderr\": 0.03398110890294636,\n \"\ acc_norm\": 0.5416666666666666,\n \"acc_norm_stderr\": 0.03398110890294636\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.7892156862745098,\n \"acc_stderr\": 0.028626547912437406,\n \"\ acc_norm\": 0.7892156862745098,\n \"acc_norm_stderr\": 0.028626547912437406\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.7637130801687764,\n \"acc_stderr\": 0.027652153144159263,\n \ \ \"acc_norm\": 0.7637130801687764,\n \"acc_norm_stderr\": 0.027652153144159263\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6995515695067265,\n\ \ \"acc_stderr\": 0.03076935200822915,\n \"acc_norm\": 0.6995515695067265,\n\ \ \"acc_norm_stderr\": 0.03076935200822915\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.7786259541984732,\n \"acc_stderr\": 0.0364129708131373,\n\ \ \"acc_norm\": 0.7786259541984732,\n \"acc_norm_stderr\": 0.0364129708131373\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.7603305785123967,\n \"acc_stderr\": 0.03896878985070416,\n \"\ acc_norm\": 0.7603305785123967,\n \"acc_norm_stderr\": 0.03896878985070416\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7685185185185185,\n\ \ \"acc_stderr\": 0.04077494709252627,\n \"acc_norm\": 0.7685185185185185,\n\ \ \"acc_norm_stderr\": 0.04077494709252627\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.7607361963190185,\n \"acc_stderr\": 0.0335195387952127,\n\ \ \"acc_norm\": 0.7607361963190185,\n \"acc_norm_stderr\": 0.0335195387952127\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.5267857142857143,\n\ \ \"acc_stderr\": 0.047389751192741546,\n \"acc_norm\": 0.5267857142857143,\n\ \ \"acc_norm_stderr\": 0.047389751192741546\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.8155339805825242,\n \"acc_stderr\": 0.03840423627288276,\n\ \ \"acc_norm\": 0.8155339805825242,\n \"acc_norm_stderr\": 0.03840423627288276\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8803418803418803,\n\ \ \"acc_stderr\": 0.021262719400406957,\n \"acc_norm\": 0.8803418803418803,\n\ \ \"acc_norm_stderr\": 0.021262719400406957\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.73,\n \"acc_stderr\": 0.044619604333847394,\n \ \ \"acc_norm\": 0.73,\n \"acc_norm_stderr\": 0.044619604333847394\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.8173690932311622,\n\ \ \"acc_stderr\": 0.013816335389973133,\n \"acc_norm\": 0.8173690932311622,\n\ \ \"acc_norm_stderr\": 0.013816335389973133\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.7283236994219653,\n \"acc_stderr\": 0.02394851290546836,\n\ \ \"acc_norm\": 0.7283236994219653,\n \"acc_norm_stderr\": 0.02394851290546836\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.33743016759776534,\n\ \ \"acc_stderr\": 0.015813901283913048,\n \"acc_norm\": 0.33743016759776534,\n\ \ \"acc_norm_stderr\": 0.015813901283913048\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.7549019607843137,\n \"acc_stderr\": 0.02463004897982478,\n\ \ \"acc_norm\": 0.7549019607843137,\n \"acc_norm_stderr\": 0.02463004897982478\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.6945337620578779,\n\ \ \"acc_stderr\": 0.02616058445014045,\n \"acc_norm\": 0.6945337620578779,\n\ \ \"acc_norm_stderr\": 0.02616058445014045\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.7376543209876543,\n \"acc_stderr\": 0.024477222856135114,\n\ \ \"acc_norm\": 0.7376543209876543,\n \"acc_norm_stderr\": 0.024477222856135114\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.4929078014184397,\n \"acc_stderr\": 0.02982449855912901,\n \ \ \"acc_norm\": 0.4929078014184397,\n \"acc_norm_stderr\": 0.02982449855912901\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.45827900912646674,\n\ \ \"acc_stderr\": 0.012725701656953638,\n \"acc_norm\": 0.45827900912646674,\n\ \ \"acc_norm_stderr\": 0.012725701656953638\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.6580882352941176,\n \"acc_stderr\": 0.028814722422254184,\n\ \ \"acc_norm\": 0.6580882352941176,\n \"acc_norm_stderr\": 0.028814722422254184\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.6797385620915033,\n \"acc_stderr\": 0.018875682938069446,\n \ \ \"acc_norm\": 0.6797385620915033,\n \"acc_norm_stderr\": 0.018875682938069446\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6454545454545455,\n\ \ \"acc_stderr\": 0.045820048415054174,\n \"acc_norm\": 0.6454545454545455,\n\ \ \"acc_norm_stderr\": 0.045820048415054174\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.7224489795918367,\n \"acc_stderr\": 0.02866685779027465,\n\ \ \"acc_norm\": 0.7224489795918367,\n \"acc_norm_stderr\": 0.02866685779027465\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8159203980099502,\n\ \ \"acc_stderr\": 0.027403859410786855,\n \"acc_norm\": 0.8159203980099502,\n\ \ \"acc_norm_stderr\": 0.027403859410786855\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.87,\n \"acc_stderr\": 0.033799766898963086,\n \ \ \"acc_norm\": 0.87,\n \"acc_norm_stderr\": 0.033799766898963086\n \ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5602409638554217,\n\ \ \"acc_stderr\": 0.03864139923699122,\n \"acc_norm\": 0.5602409638554217,\n\ \ \"acc_norm_stderr\": 0.03864139923699122\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.8304093567251462,\n \"acc_stderr\": 0.02878210810540171,\n\ \ \"acc_norm\": 0.8304093567251462,\n \"acc_norm_stderr\": 0.02878210810540171\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.31701346389228885,\n\ \ \"mc1_stderr\": 0.016289203374403385,\n \"mc2\": 0.4714491532888518,\n\ \ \"mc2_stderr\": 0.014683410665396914\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.7900552486187845,\n \"acc_stderr\": 0.01144628062926263\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.42077331311599697,\n \ \ \"acc_stderr\": 0.013598489497182838\n }\n}\n```" repo_url: https://huggingface.co/alignment-handbook/zephyr-7b-dpo-qlora 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: 2024_01_26T21_27_47.387655 path: - '**/details_harness|arc:challenge|25_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2024-01-26T21-27-47.387655.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '**/details_harness|gsm8k|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_01_26T21_27_47.387655 path: - '**/details_harness|hellaswag|10_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-management|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-management|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-01-26T21-27-47.387655.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '**/details_harness|hendrycksTest-anatomy|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '**/details_harness|hendrycksTest-astronomy|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '**/details_harness|hendrycksTest-college_biology|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '**/details_harness|hendrycksTest-college_physics|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '**/details_harness|hendrycksTest-computer_security|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '**/details_harness|hendrycksTest-econometrics|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '**/details_harness|hendrycksTest-global_facts|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '**/details_harness|hendrycksTest-human_aging|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '**/details_harness|hendrycksTest-international_law|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '**/details_harness|hendrycksTest-management|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '**/details_harness|hendrycksTest-marketing|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '**/details_harness|hendrycksTest-nutrition|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '**/details_harness|hendrycksTest-philosophy|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '**/details_harness|hendrycksTest-prehistory|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '**/details_harness|hendrycksTest-professional_law|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '**/details_harness|hendrycksTest-public_relations|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '**/details_harness|hendrycksTest-security_studies|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '**/details_harness|hendrycksTest-sociology|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '**/details_harness|hendrycksTest-virology|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '**/details_harness|hendrycksTest-world_religions|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2024-01-26T21-27-47.387655.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_01_26T21_27_47.387655 path: - '**/details_harness|truthfulqa:mc|0_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2024-01-26T21-27-47.387655.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_01_26T21_27_47.387655 path: - '**/details_harness|winogrande|5_2024-01-26T21-27-47.387655.parquet' - split: latest path: - '**/details_harness|winogrande|5_2024-01-26T21-27-47.387655.parquet' - config_name: results data_files: - split: 2024_01_26T21_27_47.387655 path: - results_2024-01-26T21-27-47.387655.parquet - split: latest path: - results_2024-01-26T21-27-47.387655.parquet --- # Dataset Card for Evaluation run of alignment-handbook/zephyr-7b-dpo-qlora  Dataset automatically created during the evaluation run of model [alignment-handbook/zephyr-7b-dpo-qlora](https://huggingface.co/alignment-handbook/zephyr-7b-dpo-qlora) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 63 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 (and is used to compute and display the aggregated 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_alignment-handbook__zephyr-7b-dpo-qlora", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-01-26T21:27:47.387655](https://huggingface.co/datasets/open-llm-leaderboard/details_alignment-handbook__zephyr-7b-dpo-qlora/blob/main/results_2024-01-26T21-27-47.387655.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": 0.6369766338808557, "acc_stderr": 0.03238152491968989, "acc_norm": 0.641831921094304, "acc_norm_stderr": 0.033030780304730514, "mc1": 0.31701346389228885, "mc1_stderr": 0.016289203374403385, "mc2": 0.4714491532888518, "mc2_stderr": 0.014683410665396914 }, "harness|arc:challenge|25": { "acc": 0.6083617747440273, "acc_stderr": 0.014264122124938217, "acc_norm": 0.636518771331058, "acc_norm_stderr": 0.014056207319068285 }, "harness|hellaswag|10": { "acc": 0.658334993029277, "acc_stderr": 0.004732986187325878, "acc_norm": 0.8535152360087632, "acc_norm_stderr": 0.0035286889976580533 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.28, "acc_stderr": 0.04512608598542129, "acc_norm": 0.28, "acc_norm_stderr": 0.04512608598542129 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.6074074074074074, "acc_stderr": 0.0421850621536888, "acc_norm": 0.6074074074074074, "acc_norm_stderr": 0.0421850621536888 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.6578947368421053, "acc_stderr": 0.03860731599316091, "acc_norm": 0.6578947368421053, "acc_norm_stderr": 0.03860731599316091 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.58, "acc_stderr": 0.049604496374885836, "acc_norm": 0.58, "acc_norm_stderr": 0.049604496374885836 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.7056603773584905, "acc_stderr": 0.02804918631569525, "acc_norm": 0.7056603773584905, "acc_norm_stderr": 0.02804918631569525 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.7291666666666666, "acc_stderr": 0.03716177437566017, "acc_norm": 0.7291666666666666, "acc_norm_stderr": 0.03716177437566017 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.5, "acc_stderr": 0.050251890762960605, "acc_norm": 0.5, "acc_norm_stderr": 0.050251890762960605 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.57, "acc_stderr": 0.049756985195624284, "acc_norm": 0.57, "acc_norm_stderr": 0.049756985195624284 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.29, "acc_stderr": 0.045604802157206845, "acc_norm": 0.29, "acc_norm_stderr": 0.045604802157206845 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.6647398843930635, "acc_stderr": 0.03599586301247077, "acc_norm": 0.6647398843930635, "acc_norm_stderr": 0.03599586301247077 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.4019607843137255, "acc_stderr": 0.048786087144669955, "acc_norm": 0.4019607843137255, "acc_norm_stderr": 0.048786087144669955 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.78, "acc_stderr": 0.04163331998932263, "acc_norm": 0.78, "acc_norm_stderr": 0.04163331998932263 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.5446808510638298, "acc_stderr": 0.03255525359340355, "acc_norm": 0.5446808510638298, "acc_norm_stderr": 0.03255525359340355 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.49122807017543857, "acc_stderr": 0.04702880432049615, "acc_norm": 0.49122807017543857, "acc_norm_stderr": 0.04702880432049615 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.5862068965517241, "acc_stderr": 0.04104269211806232, "acc_norm": 0.5862068965517241, "acc_norm_stderr": 0.04104269211806232 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.40476190476190477, "acc_stderr": 0.0252798503974049, "acc_norm": 0.40476190476190477, "acc_norm_stderr": 0.0252798503974049 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.42857142857142855, "acc_stderr": 0.04426266681379909, "acc_norm": 0.42857142857142855, "acc_norm_stderr": 0.04426266681379909 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.38, "acc_stderr": 0.04878317312145633, "acc_norm": 0.38, "acc_norm_stderr": 0.04878317312145633 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.7548387096774194, "acc_stderr": 0.024472243840895525, "acc_norm": 0.7548387096774194, "acc_norm_stderr": 0.024472243840895525 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.5221674876847291, "acc_stderr": 0.03514528562175008, "acc_norm": 0.5221674876847291, "acc_norm_stderr": 0.03514528562175008 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.65, "acc_stderr": 0.04793724854411019, "acc_norm": 0.65, "acc_norm_stderr": 0.04793724854411019 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.7515151515151515, "acc_stderr": 0.03374402644139403, "acc_norm": 0.7515151515151515, "acc_norm_stderr": 0.03374402644139403 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.7676767676767676, "acc_stderr": 0.030088629490217487, "acc_norm": 0.7676767676767676, "acc_norm_stderr": 0.030088629490217487 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.8756476683937824, "acc_stderr": 0.023814477086593542, "acc_norm": 0.8756476683937824, "acc_norm_stderr": 0.023814477086593542 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.6461538461538462, "acc_stderr": 0.024243783994062153, "acc_norm": 0.6461538461538462, "acc_norm_stderr": 0.024243783994062153 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.36666666666666664, "acc_stderr": 0.029381620726465076, "acc_norm": 0.36666666666666664, "acc_norm_stderr": 0.029381620726465076 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.6596638655462185, "acc_stderr": 0.030778057422931673, "acc_norm": 0.6596638655462185, "acc_norm_stderr": 0.030778057422931673 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.3443708609271523, "acc_stderr": 0.038796870240733264, "acc_norm": 0.3443708609271523, "acc_norm_stderr": 0.038796870240733264 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.818348623853211, "acc_stderr": 0.016530617409266878, "acc_norm": 0.818348623853211, "acc_norm_stderr": 0.016530617409266878 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.5416666666666666, "acc_stderr": 0.03398110890294636, "acc_norm": 0.5416666666666666, "acc_norm_stderr": 0.03398110890294636 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.7892156862745098, "acc_stderr": 0.028626547912437406, "acc_norm": 0.7892156862745098, "acc_norm_stderr": 0.028626547912437406 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.7637130801687764, "acc_stderr": 0.027652153144159263, "acc_norm": 0.7637130801687764, "acc_norm_stderr": 0.027652153144159263 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.6995515695067265, "acc_stderr": 0.03076935200822915, "acc_norm": 0.6995515695067265, "acc_norm_stderr": 0.03076935200822915 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.7786259541984732, "acc_stderr": 0.0364129708131373, "acc_norm": 0.7786259541984732, "acc_norm_stderr": 0.0364129708131373 }, "harness|hendrycksTest-international_law|5": { "acc": 0.7603305785123967, "acc_stderr": 0.03896878985070416, "acc_norm": 0.7603305785123967, "acc_norm_stderr": 0.03896878985070416 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.7685185185185185, "acc_stderr": 0.04077494709252627, "acc_norm": 0.7685185185185185, "acc_norm_stderr": 0.04077494709252627 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.7607361963190185, "acc_stderr": 0.0335195387952127, "acc_norm": 0.7607361963190185, "acc_norm_stderr": 0.0335195387952127 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.5267857142857143, "acc_stderr": 0.047389751192741546, "acc_norm": 0.5267857142857143, "acc_norm_stderr": 0.047389751192741546 }, "harness|hendrycksTest-management|5": { "acc": 0.8155339805825242, "acc_stderr": 0.03840423627288276, "acc_norm": 0.8155339805825242, "acc_norm_stderr": 0.03840423627288276 }, "harness|hendrycksTest-marketing|5": { "acc": 0.8803418803418803, "acc_stderr": 0.021262719400406957, "acc_norm": 0.8803418803418803, "acc_norm_stderr": 0.021262719400406957 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.73, "acc_stderr": 0.044619604333847394, "acc_norm": 0.73, "acc_norm_stderr": 0.044619604333847394 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.8173690932311622, "acc_stderr": 0.013816335389973133, "acc_norm": 0.8173690932311622, "acc_norm_stderr": 0.013816335389973133 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.7283236994219653, "acc_stderr": 0.02394851290546836, "acc_norm": 0.7283236994219653, "acc_norm_stderr": 0.02394851290546836 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.33743016759776534, "acc_stderr": 0.015813901283913048, "acc_norm": 0.33743016759776534, "acc_norm_stderr": 0.015813901283913048 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.7549019607843137, "acc_stderr": 0.02463004897982478, "acc_norm": 0.7549019607843137, "acc_norm_stderr": 0.02463004897982478 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.6945337620578779, "acc_stderr": 0.02616058445014045, "acc_norm": 0.6945337620578779, "acc_norm_stderr": 0.02616058445014045 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.7376543209876543, "acc_stderr": 0.024477222856135114, "acc_norm": 0.7376543209876543, "acc_norm_stderr": 0.024477222856135114 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.4929078014184397, "acc_stderr": 0.02982449855912901, "acc_norm": 0.4929078014184397, "acc_norm_stderr": 0.02982449855912901 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.45827900912646674, "acc_stderr": 0.012725701656953638, "acc_norm": 0.45827900912646674, "acc_norm_stderr": 0.012725701656953638 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.6580882352941176, "acc_stderr": 0.028814722422254184, "acc_norm": 0.6580882352941176, "acc_norm_stderr": 0.028814722422254184 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.6797385620915033, "acc_stderr": 0.018875682938069446, "acc_norm": 0.6797385620915033, "acc_norm_stderr": 0.018875682938069446 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.6454545454545455, "acc_stderr": 0.045820048415054174, "acc_norm": 0.6454545454545455, "acc_norm_stderr": 0.045820048415054174 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.7224489795918367, "acc_stderr": 0.02866685779027465, "acc_norm": 0.7224489795918367, "acc_norm_stderr": 0.02866685779027465 }, "harness|hendrycksTest-sociology|5": { "acc": 0.8159203980099502, "acc_stderr": 0.027403859410786855, "acc_norm": 0.8159203980099502, "acc_norm_stderr": 0.027403859410786855 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.87, "acc_stderr": 0.033799766898963086, "acc_norm": 0.87, "acc_norm_stderr": 0.033799766898963086 }, "harness|hendrycksTest-virology|5": { "acc": 0.5602409638554217, "acc_stderr": 0.03864139923699122, "acc_norm": 0.5602409638554217, "acc_norm_stderr": 0.03864139923699122 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.8304093567251462, "acc_stderr": 0.02878210810540171, "acc_norm": 0.8304093567251462, "acc_norm_stderr": 0.02878210810540171 }, "harness|truthfulqa:mc|0": { "mc1": 0.31701346389228885, "mc1_stderr": 0.016289203374403385, "mc2": 0.4714491532888518, "mc2_stderr": 0.014683410665396914 }, "harness|winogrande|5": { "acc": 0.7900552486187845, "acc_stderr": 0.01144628062926263 }, "harness|gsm8k|5": { "acc": 0.42077331311599697, "acc_stderr": 0.013598489497182838 } } ``` ## Dataset Details ### Dataset Description  - **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]  - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses  ### Direct Use  [More Information Needed] ### Out-of-Scope Use  [More Information Needed] ## Dataset Structure  [More Information Needed] ## Dataset Creation ### Curation Rationale  [More Information Needed] ### Source Data  #### Data Collection and Processing  [More Information Needed] #### Who are the source data producers?  [More Information Needed] ### Annotations [optional]  #### Annotation process  [More Information Needed] #### Who are the annotators?  [More Information Needed] #### Personal and Sensitive Information  [More Information Needed] ## Bias, Risks, and Limitations  [More Information Needed] ### Recommendations  Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional]  **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional]  [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]

EgilKarlsen/Spirit_RoBERTa_Baseline

--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* dataset_info: features: - name: '0' dtype: float32 - name: '1' dtype: float32 - name: '2' dtype: float32 - name: '3' dtype: float32 - name: '4' dtype: float32 - name: '5' dtype: float32 - name: '6' dtype: float32 - name: '7' dtype: float32 - name: '8' dtype: float32 - name: '9' dtype: float32 - name: '10' dtype: float32 - name: '11' dtype: float32 - name: '12' dtype: float32 - name: '13' dtype: float32 - name: '14' dtype: float32 - name: '15' dtype: float32 - name: '16' dtype: float32 - name: '17' dtype: float32 - name: '18' dtype: float32 - name: '19' dtype: float32 - name: '20' dtype: float32 - name: '21' dtype: float32 - name: '22' dtype: float32 - name: '23' dtype: float32 - name: '24' dtype: float32 - name: '25' dtype: float32 - name: '26' dtype: float32 - name: '27' dtype: float32 - name: '28' dtype: float32 - name: '29' dtype: float32 - name: '30' dtype: float32 - name: '31' dtype: float32 - name: '32' dtype: float32 - name: '33' dtype: float32 - name: '34' dtype: float32 - name: '35' dtype: float32 - name: '36' dtype: float32 - name: '37' dtype: float32 - name: '38' dtype: float32 - name: '39' dtype: float32 - name: '40' dtype: float32 - name: '41' dtype: float32 - name: '42' dtype: float32 - name: '43' dtype: float32 - name: '44' dtype: float32 - name: '45' dtype: float32 - name: '46' dtype: float32 - name: '47' dtype: float32 - name: '48' dtype: float32 - name: '49' dtype: float32 - name: '50' dtype: float32 - name: '51' dtype: float32 - name: '52' dtype: float32 - name: '53' dtype: float32 - name: '54' dtype: float32 - name: '55' dtype: float32 - name: '56' dtype: float32 - name: '57' dtype: float32 - name: '58' dtype: float32 - name: '59' dtype: float32 - name: '60' dtype: float32 - name: '61' dtype: float32 - name: '62' dtype: float32 - name: '63' dtype: float32 - name: '64' dtype: float32 - name: '65' dtype: float32 - name: '66' dtype: float32 - name: '67' dtype: float32 - name: '68' dtype: float32 - name: '69' dtype: float32 - name: '70' dtype: float32 - name: '71' dtype: float32 - name: '72' dtype: float32 - name: '73' dtype: float32 - name: '74' dtype: float32 - name: '75' dtype: float32 - name: '76' dtype: float32 - name: '77' dtype: float32 - name: '78' dtype: float32 - name: '79' dtype: float32 - name: '80' dtype: float32 - name: '81' dtype: float32 - name: '82' dtype: float32 - name: '83' dtype: float32 - name: '84' dtype: float32 - name: '85' dtype: float32 - name: '86' dtype: float32 - name: '87' dtype: float32 - name: '88' dtype: float32 - name: '89' dtype: float32 - name: '90' dtype: float32 - name: '91' dtype: float32 - name: '92' dtype: float32 - name: '93' dtype: float32 - name: '94' dtype: float32 - name: '95' dtype: float32 - name: '96' dtype: float32 - name: '97' dtype: float32 - name: '98' dtype: float32 - name: '99' dtype: float32 - name: '100' dtype: float32 - name: '101' dtype: float32 - name: '102' dtype: float32 - name: '103' dtype: float32 - name: '104' dtype: float32 - name: '105' dtype: float32 - name: '106' dtype: float32 - name: '107' dtype: float32 - name: '108' dtype: float32 - name: '109' dtype: float32 - name: '110' dtype: float32 - name: '111' dtype: float32 - name: '112' dtype: float32 - name: '113' dtype: float32 - name: '114' dtype: float32 - name: '115' dtype: float32 - name: '116' dtype: float32 - name: '117' dtype: float32 - name: '118' dtype: float32 - name: '119' dtype: float32 - name: '120' dtype: float32 - name: '121' dtype: float32 - name: '122' dtype: float32 - name: '123' dtype: float32 - name: '124' dtype: float32 - name: '125' dtype: float32 - name: '126' dtype: float32 - name: '127' dtype: float32 - name: '128' dtype: float32 - name: '129' dtype: float32 - name: '130' dtype: float32 - name: '131' dtype: float32 - name: '132' dtype: float32 - name: '133' dtype: float32 - name: '134' dtype: float32 - name: '135' dtype: float32 - name: '136' dtype: float32 - name: '137' dtype: float32 - name: '138' dtype: float32 - name: '139' dtype: float32 - name: '140' dtype: float32 - name: '141' dtype: float32 - name: '142' dtype: float32 - name: '143' dtype: float32 - name: '144' dtype: float32 - name: '145' dtype: float32 - name: '146' dtype: float32 - name: '147' dtype: float32 - name: '148' dtype: float32 - name: '149' dtype: float32 - name: '150' dtype: float32 - name: '151' dtype: float32 - name: '152' dtype: float32 - name: '153' dtype: float32 - name: '154' dtype: float32 - name: '155' dtype: float32 - name: '156' dtype: float32 - name: '157' dtype: float32 - name: '158' dtype: float32 - name: '159' dtype: float32 - name: '160' dtype: float32 - name: '161' dtype: float32 - name: '162' dtype: float32 - name: '163' dtype: float32 - name: '164' dtype: float32 - name: '165' dtype: float32 - name: '166' dtype: float32 - name: '167' dtype: float32 - name: '168' dtype: float32 - name: '169' dtype: float32 - name: '170' dtype: float32 - name: '171' dtype: float32 - name: '172' dtype: float32 - name: '173' dtype: float32 - name: '174' dtype: float32 - name: '175' dtype: float32 - name: '176' dtype: float32 - name: '177' dtype: float32 - name: '178' dtype: float32 - name: '179' dtype: float32 - name: '180' dtype: float32 - name: '181' dtype: float32 - name: '182' dtype: float32 - name: '183' dtype: float32 - name: '184' dtype: float32 - name: '185' dtype: float32 - name: '186' dtype: float32 - name: '187' dtype: float32 - name: '188' dtype: float32 - name: '189' dtype: float32 - name: '190' dtype: float32 - name: '191' dtype: float32 - name: '192' dtype: float32 - name: '193' dtype: float32 - name: '194' dtype: float32 - name: '195' dtype: float32 - name: '196' dtype: float32 - name: '197' dtype: float32 - name: '198' dtype: float32 - name: '199' dtype: float32 - name: '200' dtype: float32 - name: '201' dtype: float32 - name: '202' dtype: float32 - name: '203' dtype: float32 - name: '204' dtype: float32 - name: '205' dtype: float32 - name: '206' dtype: float32 - name: '207' dtype: float32 - name: '208' dtype: float32 - name: '209' dtype: float32 - name: '210' dtype: float32 - name: '211' dtype: float32 - name: '212' dtype: float32 - name: '213' dtype: float32 - name: '214' dtype: float32 - name: '215' dtype: float32 - name: '216' dtype: float32 - name: '217' dtype: float32 - name: '218' dtype: float32 - name: '219' dtype: float32 - name: '220' dtype: float32 - name: '221' dtype: float32 - name: '222' dtype: float32 - name: '223' dtype: float32 - name: '224' dtype: float32 - name: '225' dtype: float32 - name: '226' dtype: float32 - name: '227' dtype: float32 - name: '228' dtype: float32 - name: '229' dtype: float32 - name: '230' dtype: float32 - name: '231' dtype: float32 - name: '232' dtype: float32 - name: '233' dtype: float32 - name: '234' dtype: float32 - name: '235' dtype: float32 - name: '236' dtype: float32 - name: '237' dtype: float32 - name: '238' dtype: float32 - name: '239' dtype: float32 - name: '240' dtype: float32 - name: '241' dtype: float32 - name: '242' dtype: float32 - name: '243' dtype: float32 - name: '244' dtype: float32 - name: '245' dtype: float32 - name: '246' dtype: float32 - name: '247' dtype: float32 - name: '248' dtype: float32 - name: '249' dtype: float32 - name: '250' dtype: float32 - name: '251' dtype: float32 - name: '252' dtype: float32 - name: '253' dtype: float32 - name: '254' dtype: float32 - name: '255' dtype: float32 - name: '256' dtype: float32 - name: '257' dtype: float32 - name: '258' dtype: float32 - name: '259' dtype: float32 - name: '260' dtype: float32 - name: '261' dtype: float32 - name: '262' dtype: float32 - name: '263' dtype: float32 - name: '264' dtype: float32 - name: '265' dtype: float32 - name: '266' dtype: float32 - name: '267' dtype: float32 - name: '268' dtype: float32 - name: '269' dtype: float32 - name: '270' dtype: float32 - name: '271' dtype: float32 - name: '272' dtype: float32 - name: '273' dtype: float32 - name: '274' dtype: float32 - name: '275' dtype: float32 - name: '276' dtype: float32 - name: '277' dtype: float32 - name: '278' dtype: float32 - name: '279' dtype: float32 - name: '280' dtype: float32 - name: '281' dtype: float32 - name: '282' dtype: float32 - name: '283' dtype: float32 - name: '284' dtype: float32 - name: '285' dtype: float32 - name: '286' dtype: float32 - name: '287' dtype: float32 - name: '288' dtype: float32 - name: '289' dtype: float32 - name: '290' dtype: float32 - name: '291' dtype: float32 - name: '292' dtype: float32 - name: '293' dtype: float32 - name: '294' dtype: float32 - name: '295' dtype: float32 - name: '296' dtype: float32 - name: '297' dtype: float32 - name: '298' dtype: float32 - name: '299' dtype: float32 - name: '300' dtype: float32 - name: '301' dtype: float32 - name: '302' dtype: float32 - name: '303' dtype: float32 - name: '304' dtype: float32 - name: '305' dtype: float32 - name: '306' dtype: float32 - name: '307' dtype: float32 - name: '308' dtype: float32 - name: '309' dtype: float32 - name: '310' dtype: float32 - name: '311' dtype: float32 - name: '312' dtype: float32 - name: '313' dtype: float32 - name: '314' dtype: float32 - name: '315' dtype: float32 - name: '316' dtype: float32 - name: '317' dtype: float32 - name: '318' dtype: float32 - name: '319' dtype: float32 - name: '320' dtype: float32 - name: '321' dtype: float32 - name: '322' dtype: float32 - name: '323' dtype: float32 - name: '324' dtype: float32 - name: '325' dtype: float32 - name: '326' dtype: float32 - name: '327' dtype: float32 - name: '328' dtype: float32 - name: '329' dtype: float32 - name: '330' dtype: float32 - name: '331' dtype: float32 - name: '332' dtype: float32 - name: '333' dtype: float32 - name: '334' dtype: float32 - name: '335' dtype: float32 - name: '336' dtype: float32 - name: '337' dtype: float32 - name: '338' dtype: float32 - name: '339' dtype: float32 - name: '340' dtype: float32 - name: '341' dtype: float32 - name: '342' dtype: float32 - name: '343' dtype: float32 - name: '344' dtype: float32 - name: '345' dtype: float32 - name: '346' dtype: float32 - name: '347' dtype: float32 - name: '348' dtype: float32 - name: '349' dtype: float32 - name: '350' dtype: float32 - name: '351' dtype: float32 - name: '352' dtype: float32 - name: '353' dtype: float32 - name: '354' dtype: float32 - name: '355' dtype: float32 - name: '356' dtype: float32 - name: '357' dtype: float32 - name: '358' dtype: float32 - name: '359' dtype: float32 - name: '360' dtype: float32 - name: '361' dtype: float32 - name: '362' dtype: float32 - name: '363' dtype: float32 - name: '364' dtype: float32 - name: '365' dtype: float32 - name: '366' dtype: float32 - name: '367' dtype: float32 - name: '368' dtype: float32 - name: '369' dtype: float32 - name: '370' dtype: float32 - name: '371' dtype: float32 - name: '372' dtype: float32 - name: '373' dtype: float32 - name: '374' dtype: float32 - name: '375' dtype: float32 - name: '376' dtype: float32 - name: '377' dtype: float32 - name: '378' dtype: float32 - name: '379' dtype: float32 - name: '380' dtype: float32 - name: '381' dtype: float32 - name: '382' dtype: float32 - name: '383' dtype: float32 - name: '384' dtype: float32 - name: '385' dtype: float32 - name: '386' dtype: float32 - name: '387' dtype: float32 - name: '388' dtype: float32 - name: '389' dtype: float32 - name: '390' dtype: float32 - name: '391' dtype: float32 - name: '392' dtype: float32 - name: '393' dtype: float32 - name: '394' dtype: float32 - name: '395' dtype: float32 - name: '396' dtype: float32 - name: '397' dtype: float32 - name: '398' dtype: float32 - name: '399' dtype: float32 - name: '400' dtype: float32 - name: '401' dtype: float32 - name: '402' dtype: float32 - name: '403' dtype: float32 - name: '404' dtype: float32 - name: '405' dtype: float32 - name: '406' dtype: float32 - name: '407' dtype: float32 - name: '408' dtype: float32 - name: '409' dtype: float32 - name: '410' dtype: float32 - name: '411' dtype: float32 - name: '412' dtype: float32 - name: '413' dtype: float32 - name: '414' dtype: float32 - name: '415' dtype: float32 - name: '416' dtype: float32 - name: '417' dtype: float32 - name: '418' dtype: float32 - name: '419' dtype: float32 - name: '420' dtype: float32 - name: '421' dtype: float32 - name: '422' dtype: float32 - name: '423' dtype: float32 - name: '424' dtype: float32 - name: '425' dtype: float32 - name: '426' dtype: float32 - name: '427' dtype: float32 - name: '428' dtype: float32 - name: '429' dtype: float32 - name: '430' dtype: float32 - name: '431' dtype: float32 - name: '432' dtype: float32 - name: '433' dtype: float32 - name: '434' dtype: float32 - name: '435' dtype: float32 - name: '436' dtype: float32 - name: '437' dtype: float32 - name: '438' dtype: float32 - name: '439' dtype: float32 - name: '440' dtype: float32 - name: '441' dtype: float32 - name: '442' dtype: float32 - name: '443' dtype: float32 - name: '444' dtype: float32 - name: '445' dtype: float32 - name: '446' dtype: float32 - name: '447' dtype: float32 - name: '448' dtype: float32 - name: '449' dtype: float32 - name: '450' dtype: float32 - name: '451' dtype: float32 - name: '452' dtype: float32 - name: '453' dtype: float32 - name: '454' dtype: float32 - name: '455' dtype: float32 - name: '456' dtype: float32 - name: '457' dtype: float32 - name: '458' dtype: float32 - name: '459' dtype: float32 - name: '460' dtype: float32 - name: '461' dtype: float32 - name: '462' dtype: float32 - name: '463' dtype: float32 - name: '464' dtype: float32 - name: '465' dtype: float32 - name: '466' dtype: float32 - name: '467' dtype: float32 - name: '468' dtype: float32 - name: '469' dtype: float32 - name: '470' dtype: float32 - name: '471' dtype: float32 - name: '472' dtype: float32 - name: '473' dtype: float32 - name: '474' dtype: float32 - name: '475' dtype: float32 - name: '476' dtype: float32 - name: '477' dtype: float32 - name: '478' dtype: float32 - name: '479' dtype: float32 - name: '480' dtype: float32 - name: '481' dtype: float32 - name: '482' dtype: float32 - name: '483' dtype: float32 - name: '484' dtype: float32 - name: '485' dtype: float32 - name: '486' dtype: float32 - name: '487' dtype: float32 - name: '488' dtype: float32 - name: '489' dtype: float32 - name: '490' dtype: float32 - name: '491' dtype: float32 - name: '492' dtype: float32 - name: '493' dtype: float32 - name: '494' dtype: float32 - name: '495' dtype: float32 - name: '496' dtype: float32 - name: '497' dtype: float32 - name: '498' dtype: float32 - name: '499' dtype: float32 - name: '500' dtype: float32 - name: '501' dtype: float32 - name: '502' dtype: float32 - name: '503' dtype: float32 - name: '504' dtype: float32 - name: '505' dtype: float32 - name: '506' dtype: float32 - name: '507' dtype: float32 - name: '508' dtype: float32 - name: '509' dtype: float32 - name: '510' dtype: float32 - name: '511' dtype: float32 - name: '512' dtype: float32 - name: '513' dtype: float32 - name: '514' dtype: float32 - name: '515' dtype: float32 - name: '516' dtype: float32 - name: '517' dtype: float32 - name: '518' dtype: float32 - name: '519' dtype: float32 - name: '520' dtype: float32 - name: '521' dtype: float32 - name: '522' dtype: float32 - name: '523' dtype: float32 - name: '524' dtype: float32 - name: '525' dtype: float32 - name: '526' dtype: float32 - name: '527' dtype: float32 - name: '528' dtype: float32 - name: '529' dtype: float32 - name: '530' dtype: float32 - name: '531' dtype: float32 - name: '532' dtype: float32 - name: '533' dtype: float32 - name: '534' dtype: float32 - name: '535' dtype: float32 - name: '536' dtype: float32 - name: '537' dtype: float32 - name: '538' dtype: float32 - name: '539' dtype: float32 - name: '540' dtype: float32 - name: '541' dtype: float32 - name: '542' dtype: float32 - name: '543' dtype: float32 - name: '544' dtype: float32 - name: '545' dtype: float32 - name: '546' dtype: float32 - name: '547' dtype: float32 - name: '548' dtype: float32 - name: '549' dtype: float32 - name: '550' dtype: float32 - name: '551' dtype: float32 - name: '552' dtype: float32 - name: '553' dtype: float32 - name: '554' dtype: float32 - name: '555' dtype: float32 - name: '556' dtype: float32 - name: '557' dtype: float32 - name: '558' dtype: float32 - name: '559' dtype: float32 - name: '560' dtype: float32 - name: '561' dtype: float32 - name: '562' dtype: float32 - name: '563' dtype: float32 - name: '564' dtype: float32 - name: '565' dtype: float32 - name: '566' dtype: float32 - name: '567' dtype: float32 - name: '568' dtype: float32 - name: '569' dtype: float32 - name: '570' dtype: float32 - name: '571' dtype: float32 - name: '572' dtype: float32 - name: '573' dtype: float32 - name: '574' dtype: float32 - name: '575' dtype: float32 - name: '576' dtype: float32 - name: '577' dtype: float32 - name: '578' dtype: float32 - name: '579' dtype: float32 - name: '580' dtype: float32 - name: '581' dtype: float32 - name: '582' dtype: float32 - name: '583' dtype: float32 - name: '584' dtype: float32 - name: '585' dtype: float32 - name: '586' dtype: float32 - name: '587' dtype: float32 - name: '588' dtype: float32 - name: '589' dtype: float32 - name: '590' dtype: float32 - name: '591' dtype: float32 - name: '592' dtype: float32 - name: '593' dtype: float32 - name: '594' dtype: float32 - name: '595' dtype: float32 - name: '596' dtype: float32 - name: '597' dtype: float32 - name: '598' dtype: float32 - name: '599' dtype: float32 - name: '600' dtype: float32 - name: '601' dtype: float32 - name: '602' dtype: float32 - name: '603' dtype: float32 - name: '604' dtype: float32 - name: '605' dtype: float32 - name: '606' dtype: float32 - name: '607' dtype: float32 - name: '608' dtype: float32 - name: '609' dtype: float32 - name: '610' dtype: float32 - name: '611' dtype: float32 - name: '612' dtype: float32 - name: '613' dtype: float32 - name: '614' dtype: float32 - name: '615' dtype: float32 - name: '616' dtype: float32 - name: '617' dtype: float32 - name: '618' dtype: float32 - name: '619' dtype: float32 - name: '620' dtype: float32 - name: '621' dtype: float32 - name: '622' dtype: float32 - name: '623' dtype: float32 - name: '624' dtype: float32 - name: '625' dtype: float32 - name: '626' dtype: float32 - name: '627' dtype: float32 - name: '628' dtype: float32 - name: '629' dtype: float32 - name: '630' dtype: float32 - name: '631' dtype: float32 - name: '632' dtype: float32 - name: '633' dtype: float32 - name: '634' dtype: float32 - name: '635' dtype: float32 - name: '636' dtype: float32 - name: '637' dtype: float32 - name: '638' dtype: float32 - name: '639' dtype: float32 - name: '640' dtype: float32 - name: '641' dtype: float32 - name: '642' dtype: float32 - name: '643' dtype: float32 - name: '644' dtype: float32 - name: '645' dtype: float32 - name: '646' dtype: float32 - name: '647' dtype: float32 - name: '648' dtype: float32 - name: '649' dtype: float32 - name: '650' dtype: float32 - name: '651' dtype: float32 - name: '652' dtype: float32 - name: '653' dtype: float32 - name: '654' dtype: float32 - name: '655' dtype: float32 - name: '656' dtype: float32 - name: '657' dtype: float32 - name: '658' dtype: float32 - name: '659' dtype: float32 - name: '660' dtype: float32 - name: '661' dtype: float32 - name: '662' dtype: float32 - name: '663' dtype: float32 - name: '664' dtype: float32 - name: '665' dtype: float32 - name: '666' dtype: float32 - name: '667' dtype: float32 - name: '668' dtype: float32 - name: '669' dtype: float32 - name: '670' dtype: float32 - name: '671' dtype: float32 - name: '672' dtype: float32 - name: '673' dtype: float32 - name: '674' dtype: float32 - name: '675' dtype: float32 - name: '676' dtype: float32 - name: '677' dtype: float32 - name: '678' dtype: float32 - name: '679' dtype: float32 - name: '680' dtype: float32 - name: '681' dtype: float32 - name: '682' dtype: float32 - name: '683' dtype: float32 - name: '684' dtype: float32 - name: '685' dtype: float32 - name: '686' dtype: float32 - name: '687' dtype: float32 - name: '688' dtype: float32 - name: '689' dtype: float32 - name: '690' dtype: float32 - name: '691' dtype: float32 - name: '692' dtype: float32 - name: '693' dtype: float32 - name: '694' dtype: float32 - name: '695' dtype: float32 - name: '696' dtype: float32 - name: '697' dtype: float32 - name: '698' dtype: float32 - name: '699' dtype: float32 - name: '700' dtype: float32 - name: '701' dtype: float32 - name: '702' dtype: float32 - name: '703' dtype: float32 - name: '704' dtype: float32 - name: '705' dtype: float32 - name: '706' dtype: float32 - name: '707' dtype: float32 - name: '708' dtype: float32 - name: '709' dtype: float32 - name: '710' dtype: float32 - name: '711' dtype: float32 - name: '712' dtype: float32 - name: '713' dtype: float32 - name: '714' dtype: float32 - name: '715' dtype: float32 - name: '716' dtype: float32 - name: '717' dtype: float32 - name: '718' dtype: float32 - name: '719' dtype: float32 - name: '720' dtype: float32 - name: '721' dtype: float32 - name: '722' dtype: float32 - name: '723' dtype: float32 - name: '724' dtype: float32 - name: '725' dtype: float32 - name: '726' dtype: float32 - name: '727' dtype: float32 - name: '728' dtype: float32 - name: '729' dtype: float32 - name: '730' dtype: float32 - name: '731' dtype: float32 - name: '732' dtype: float32 - name: '733' dtype: float32 - name: '734' dtype: float32 - name: '735' dtype: float32 - name: '736' dtype: float32 - name: '737' dtype: float32 - name: '738' dtype: float32 - name: '739' dtype: float32 - name: '740' dtype: float32 - name: '741' dtype: float32 - name: '742' dtype: float32 - name: '743' dtype: float32 - name: '744' dtype: float32 - name: '745' dtype: float32 - name: '746' dtype: float32 - name: '747' dtype: float32 - name: '748' dtype: float32 - name: '749' dtype: float32 - name: '750' dtype: float32 - name: '751' dtype: float32 - name: '752' dtype: float32 - name: '753' dtype: float32 - name: '754' dtype: float32 - name: '755' dtype: float32 - name: '756' dtype: float32 - name: '757' dtype: float32 - name: '758' dtype: float32 - name: '759' dtype: float32 - name: '760' dtype: float32 - name: '761' dtype: float32 - name: '762' dtype: float32 - name: '763' dtype: float32 - name: '764' dtype: float32 - name: '765' dtype: float32 - name: '766' dtype: float32 - name: '767' dtype: float32 - name: label dtype: string splits: - name: train num_bytes: 115650065.625 num_examples: 37500 - name: test num_bytes: 38550020.0 num_examples: 12500 download_size: 211789418 dataset_size: 154200085.625 --- # Dataset Card for "Spirit_RoBERTa_Baseline" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

zhangyue/test.one

--- dataset_info: features: - name: id dtype: string - name: package_name dtype: string - name: review dtype: string - name: date dtype: string - name: star dtype: int64 - name: version_id dtype: int64 splits: - name: train num_bytes: 1508 num_examples: 5 - name: test num_bytes: 956 num_examples: 5 download_size: 9453 dataset_size: 2464 --- # Dataset Card for "test.one" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)