davanstrien/summary-test · Datasets at Hugging Face

datasetId stringlengths 2 117	card stringlengths 19 1.01M
ssbuild/alpaca_guanaco	--- license: apache-2.0 ---
arbml/Author_Attribution_Tweets	--- dataset_info: features: - name: tweet dtype: string - name: author dtype: string splits: - name: test num_bytes: 2629687 num_examples: 13341 - name: train num_bytes: 10441650 num_examples: 53198 download_size: 6482998 dataset_size: 13071337 --- # Dataset Card for "Author_Attribution_Tweets" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
ouvic215/Soldering-Data-pix2pix-1209-white-1	--- dataset_info: features: - name: mask_image dtype: image - name: text dtype: string - name: image dtype: image splits: - name: train num_bytes: 511555221.25 num_examples: 6799 download_size: 510366317 dataset_size: 511555221.25 --- # Dataset Card for "Soldering-Data-pix2pix-1209-white-1" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
AppleHarem/paprika_arknights	--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of paprika (Arknights) This is the dataset of paprika (Arknights), containing 13 images and their tags. 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)). This is a WebUI contains crawlers and other thing: ([LittleAppleWebUI](https://github.com/LittleApple-fp16/LittleAppleWebUI)) \| Name \| Images \| Download \| Description \| \|:----------------\|---------:\|:----------------------------------------\|:-----------------------------------------------------------------------------------------\| \| raw \| 13 \| [Download](dataset-raw.zip) \| Raw data with meta information. \| \| raw-stage3 \| 33 \| [Download](dataset-raw-stage3.zip) \| 3-stage cropped raw data with meta information. \| \| raw-stage3-eyes \| 40 \| [Download](dataset-raw-stage3-eyes.zip) \| 3-stage cropped (with eye-focus) raw data with meta information. \| \| 384x512 \| 13 \| [Download](dataset-384x512.zip) \| 384x512 aligned dataset. \| \| 512x704 \| 13 \| [Download](dataset-512x704.zip) \| 512x704 aligned dataset. \| \| 640x880 \| 13 \| [Download](dataset-640x880.zip) \| 640x880 aligned dataset. \| \| stage3-640 \| 33 \| [Download](dataset-stage3-640.zip) \| 3-stage cropped dataset with the shorter side not exceeding 640 pixels. \| \| stage3-800 \| 33 \| [Download](dataset-stage3-800.zip) \| 3-stage cropped dataset with the shorter side not exceeding 800 pixels. \| \| stage3-p512-640 \| 24 \| [Download](dataset-stage3-p512-640.zip) \| 3-stage cropped dataset with the area not less than 512x512 pixels. \| \| stage3-eyes-640 \| 40 \| [Download](dataset-stage3-eyes-640.zip) \| 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 640 pixels. \| \| stage3-eyes-800 \| 40 \| [Download](dataset-stage3-eyes-800.zip) \| 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 800 pixels. \|
OptimOS/Selfies	--- license: unknown ---
HuggingFaceM4/imagenet1k_support_5k_query_sets	Invalid username or password.
jamestalentium/xsum_10_finetune	--- dataset_info: features: - name: input_text dtype: string - name: output_text dtype: string - name: id dtype: string splits: - name: train num_bytes: 23485.327403268886 num_examples: 10 download_size: 19146 dataset_size: 23485.327403268886 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "xsum_10_finetune" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
atmallen/quirky_sciq_pythia-410m	--- configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* - split: test path: data/test-* dataset_info: features: - name: id dtype: string - name: choices sequence: string - name: label dtype: int64 - name: difficulty dtype: float64 - name: statement dtype: string - name: character dtype: string - name: alice_label dtype: bool - name: bob_label dtype: bool - name: bob_log_odds dtype: float64 splits: - name: train num_bytes: 29103976 num_examples: 46716 - name: validation num_bytes: 2464470 num_examples: 4000 - name: test num_bytes: 2510666 num_examples: 4000 download_size: 7307630 dataset_size: 34079112 --- # Dataset Card for "quirky_sciq_pythia-410m" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
ColinCcz/processed_mental_data	--- dataset_info: features: - name: text dtype: string - name: label dtype: string splits: - name: train num_bytes: 33504534 num_examples: 34823 - name: validation num_bytes: 8336083 num_examples: 8706 - name: test num_bytes: 10326719 num_examples: 10883 download_size: 31547813 dataset_size: 52167336 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* - split: test path: data/test-* ---
Yus287/y-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 struct: - name: avatar_url dtype: string - name: events_url dtype: string - name: followers_url dtype: string - name: following_url dtype: string - name: gists_url dtype: string - name: gravatar_id dtype: string - name: html_url dtype: string - name: id dtype: int64 - name: login dtype: string - name: node_id dtype: string - name: organizations_url dtype: string - name: received_events_url dtype: string - name: repos_url dtype: string - name: site_admin dtype: bool - name: starred_url dtype: string - name: subscriptions_url dtype: string - name: type dtype: string - name: url dtype: string - name: labels list: - name: color dtype: string - name: default dtype: bool - name: description dtype: string - name: id dtype: int64 - name: name dtype: string - name: node_id dtype: string - name: url dtype: string - name: state dtype: string - name: locked dtype: bool - name: assignee struct: - name: avatar_url dtype: string - name: events_url dtype: string - name: followers_url dtype: string - name: following_url dtype: string - name: gists_url dtype: string - name: gravatar_id dtype: string - name: html_url dtype: string - name: id dtype: int64 - name: login dtype: string - name: node_id dtype: string - name: organizations_url dtype: string - name: received_events_url dtype: string - name: repos_url dtype: string - name: site_admin dtype: bool - name: starred_url dtype: string - name: subscriptions_url dtype: string - name: type dtype: string - name: url dtype: string - name: assignees list: - name: avatar_url dtype: string - name: events_url dtype: string - name: followers_url dtype: string - name: following_url dtype: string - name: gists_url dtype: string - name: gravatar_id dtype: string - name: html_url dtype: string - name: id dtype: int64 - name: login dtype: string - name: node_id dtype: string - name: organizations_url dtype: string - name: received_events_url dtype: string - name: repos_url dtype: string - name: site_admin dtype: bool - name: starred_url dtype: string - name: subscriptions_url dtype: string - name: type dtype: string - name: url dtype: string - name: milestone struct: - name: closed_at dtype: string - name: closed_issues dtype: int64 - name: created_at dtype: string - name: creator struct: - name: avatar_url dtype: string - name: events_url dtype: string - name: followers_url dtype: string - name: following_url dtype: string - name: gists_url dtype: string - name: gravatar_id dtype: string - name: html_url dtype: string - name: id dtype: int64 - name: login dtype: string - name: node_id dtype: string - name: organizations_url dtype: string - name: received_events_url dtype: string - name: repos_url dtype: string - name: site_admin dtype: bool - name: starred_url dtype: string - name: subscriptions_url dtype: string - name: type dtype: string - name: url dtype: string - name: description dtype: string - name: due_on dtype: string - name: html_url dtype: string - name: id dtype: int64 - name: labels_url dtype: string - name: node_id dtype: string - name: number dtype: int64 - name: open_issues dtype: int64 - name: state dtype: string - name: title dtype: string - name: updated_at dtype: string - name: url 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: 'null' - name: draft dtype: bool - name: pull_request struct: - name: diff_url dtype: string - name: html_url dtype: string - name: merged_at dtype: string - name: patch_url dtype: string - name: url dtype: string - name: body dtype: string - name: reactions struct: - name: '+1' dtype: int64 - name: '-1' dtype: int64 - name: confused dtype: int64 - name: eyes dtype: int64 - name: heart dtype: int64 - name: hooray dtype: int64 - name: laugh dtype: int64 - name: rocket dtype: int64 - name: total_count dtype: int64 - name: url dtype: string - name: timeline_url dtype: string - name: performed_via_github_app dtype: 'null' - name: state_reason dtype: string - name: is_pull_request dtype: bool splits: - name: train num_bytes: 19943411.093366094 num_examples: 3907 - name: test num_bytes: 1000488.5012285012 num_examples: 196 - name: val num_bytes: 3986640.4054054054 num_examples: 781 download_size: 7953657 dataset_size: 24930540.0 --- # Dataset Card for "y-github-issues" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Nevo399/orangecocoa	--- license: openrail ---
FreedomIntelligence/MMLU_Italian	--- license: mit --- Italian version of MMLU dataset tranlasted by gpt-3.5-turbo. The dataset is used in the research related to [MultilingualSIFT](https://github.com/FreedomIntelligence/MultilingualSIFT).
ludekcizinsky/epfl-cs502-hw3	--- license: mit ---
andersonbcdefg/captions_triples_unfiltered_bm25	--- dataset_info: features: - name: query dtype: string - name: pos dtype: string - name: neg dtype: string splits: - name: train num_bytes: 40294446 num_examples: 229311 download_size: 21806078 dataset_size: 40294446 configs: - config_name: default data_files: - split: train path: data/train-* ---
open-llm-leaderboard/details_JunchengXie__Mistral-7B-Instruct-v0.2-gpt-4-80k-base_lora	--- pretty_name: Evaluation run of JunchengXie/Mistral-7B-Instruct-v0.2-gpt-4-80k-base_lora dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [JunchengXie/Mistral-7B-Instruct-v0.2-gpt-4-80k-base_lora](https://huggingface.co/JunchengXie/Mistral-7B-Instruct-v0.2-gpt-4-80k-base_lora)\ \ 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_JunchengXie__Mistral-7B-Instruct-v0.2-gpt-4-80k-base_lora\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-03-27T23:59:10.991747](https://huggingface.co/datasets/open-llm-leaderboard/details_JunchengXie__Mistral-7B-Instruct-v0.2-gpt-4-80k-base_lora/blob/main/results_2024-03-27T23-59-10.991747.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\": 0.582160493650072,\n\ \ \"acc_stderr\": 0.03365366470977369,\n \"acc_norm\": 0.5887215545601854,\n\ \ \"acc_norm_stderr\": 0.03434852603389613,\n \"mc1\": 0.5177478580171359,\n\ \ \"mc1_stderr\": 0.017492470843075356,\n \"mc2\": 0.6831698375539644,\n\ \ \"mc2_stderr\": 0.015593330487456654\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.5665529010238908,\n \"acc_stderr\": 0.014481376224558902,\n\ \ \"acc_norm\": 0.5947098976109215,\n \"acc_norm_stderr\": 0.014346869060229321\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.6102370045807608,\n\ \ \"acc_stderr\": 0.004866997110388195,\n \"acc_norm\": 0.7969527982473611,\n\ \ \"acc_norm_stderr\": 0.0040144524737232646\n },\n \"harness\|hendrycksTest-abstract_algebra\|5\"\ : {\n \"acc\": 0.29,\n \"acc_stderr\": 0.04560480215720683,\n \ \ \"acc_norm\": 0.29,\n \"acc_norm_stderr\": 0.04560480215720683\n \ \ },\n \"harness\|hendrycksTest-anatomy\|5\": {\n \"acc\": 0.5777777777777777,\n\ \ \"acc_stderr\": 0.04266763404099582,\n \"acc_norm\": 0.5777777777777777,\n\ \ \"acc_norm_stderr\": 0.04266763404099582\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\": 0.56,\n\ \ \"acc_stderr\": 0.04988876515698589,\n \"acc_norm\": 0.56,\n \ \ \"acc_norm_stderr\": 0.04988876515698589\n },\n \"harness\|hendrycksTest-clinical_knowledge\|5\"\ : {\n \"acc\": 0.6452830188679245,\n \"acc_stderr\": 0.02944517532819959,\n\ \ \"acc_norm\": 0.6452830188679245,\n \"acc_norm_stderr\": 0.02944517532819959\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.6388888888888888,\n\ \ \"acc_stderr\": 0.04016660030451233,\n \"acc_norm\": 0.6388888888888888,\n\ \ \"acc_norm_stderr\": 0.04016660030451233\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\": 0.49,\n \"acc_stderr\": 0.05024183937956912,\n \"acc_norm\"\ : 0.49,\n \"acc_norm_stderr\": 0.05024183937956912\n },\n \"harness\|hendrycksTest-college_mathematics\|5\"\ : {\n \"acc\": 0.35,\n \"acc_stderr\": 0.047937248544110196,\n \ \ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.047937248544110196\n \ \ },\n \"harness\|hendrycksTest-college_medicine\|5\": {\n \"acc\": 0.5549132947976878,\n\ \ \"acc_stderr\": 0.03789401760283647,\n \"acc_norm\": 0.5549132947976878,\n\ \ \"acc_norm_stderr\": 0.03789401760283647\n },\n \"harness\|hendrycksTest-college_physics\|5\"\ : {\n \"acc\": 0.4117647058823529,\n \"acc_stderr\": 0.04897104952726368,\n\ \ \"acc_norm\": 0.4117647058823529,\n \"acc_norm_stderr\": 0.04897104952726368\n\ \ },\n \"harness\|hendrycksTest-computer_security\|5\": {\n \"acc\":\ \ 0.69,\n \"acc_stderr\": 0.04648231987117316,\n \"acc_norm\": 0.69,\n\ \ \"acc_norm_stderr\": 0.04648231987117316\n },\n \"harness\|hendrycksTest-conceptual_physics\|5\"\ : {\n \"acc\": 0.48936170212765956,\n \"acc_stderr\": 0.03267862331014063,\n\ \ \"acc_norm\": 0.48936170212765956,\n \"acc_norm_stderr\": 0.03267862331014063\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.4473684210526316,\n\ \ \"acc_stderr\": 0.046774730044911984,\n \"acc_norm\": 0.4473684210526316,\n\ \ \"acc_norm_stderr\": 0.046774730044911984\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\"\ : 0.38095238095238093,\n \"acc_stderr\": 0.025010749116137595,\n \"\ acc_norm\": 0.38095238095238093,\n \"acc_norm_stderr\": 0.025010749116137595\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.38095238095238093,\n\ \ \"acc_stderr\": 0.04343525428949098,\n \"acc_norm\": 0.38095238095238093,\n\ \ \"acc_norm_stderr\": 0.04343525428949098\n },\n \"harness\|hendrycksTest-global_facts\|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-high_school_biology\|5\": {\n \"acc\"\ : 0.6064516129032258,\n \"acc_stderr\": 0.027791878753132274,\n \"\ acc_norm\": 0.6064516129032258,\n \"acc_norm_stderr\": 0.027791878753132274\n\ \ },\n \"harness\|hendrycksTest-high_school_chemistry\|5\": {\n \"acc\"\ : 0.4729064039408867,\n \"acc_stderr\": 0.03512819077876106,\n \"\ acc_norm\": 0.4729064039408867,\n \"acc_norm_stderr\": 0.03512819077876106\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|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-high_school_european_history\|5\"\ : {\n \"acc\": 0.7515151515151515,\n \"acc_stderr\": 0.033744026441394036,\n\ \ \"acc_norm\": 0.7515151515151515,\n \"acc_norm_stderr\": 0.033744026441394036\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.7272727272727273,\n \"acc_stderr\": 0.03173071239071724,\n \"\ acc_norm\": 0.7272727272727273,\n \"acc_norm_stderr\": 0.03173071239071724\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.8341968911917098,\n \"acc_stderr\": 0.026839845022314415,\n\ \ \"acc_norm\": 0.8341968911917098,\n \"acc_norm_stderr\": 0.026839845022314415\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.5384615384615384,\n \"acc_stderr\": 0.025275892070240648,\n\ \ \"acc_norm\": 0.5384615384615384,\n \"acc_norm_stderr\": 0.025275892070240648\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.2814814814814815,\n \"acc_stderr\": 0.027420019350945277,\n \ \ \"acc_norm\": 0.2814814814814815,\n \"acc_norm_stderr\": 0.027420019350945277\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.6260504201680672,\n \"acc_stderr\": 0.03142946637883708,\n \ \ \"acc_norm\": 0.6260504201680672,\n \"acc_norm_stderr\": 0.03142946637883708\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.3708609271523179,\n \"acc_stderr\": 0.03943966699183629,\n \"\ acc_norm\": 0.3708609271523179,\n \"acc_norm_stderr\": 0.03943966699183629\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.7577981651376147,\n \"acc_stderr\": 0.018368176306598618,\n \"\ acc_norm\": 0.7577981651376147,\n \"acc_norm_stderr\": 0.018368176306598618\n\ \ },\n \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\"\ : 0.4351851851851852,\n \"acc_stderr\": 0.03381200005643525,\n \"\ acc_norm\": 0.4351851851851852,\n \"acc_norm_stderr\": 0.03381200005643525\n\ \ },\n \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\"\ : 0.7352941176470589,\n \"acc_stderr\": 0.030964517926923393,\n \"\ acc_norm\": 0.7352941176470589,\n \"acc_norm_stderr\": 0.030964517926923393\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\": 0.6143497757847534,\n\ \ \"acc_stderr\": 0.03266842214289202,\n \"acc_norm\": 0.6143497757847534,\n\ \ \"acc_norm_stderr\": 0.03266842214289202\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.6870229007633588,\n \"acc_stderr\": 0.04066962905677698,\n\ \ \"acc_norm\": 0.6870229007633588,\n \"acc_norm_stderr\": 0.04066962905677698\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.743801652892562,\n \"acc_stderr\": 0.03984979653302872,\n \"acc_norm\"\ : 0.743801652892562,\n \"acc_norm_stderr\": 0.03984979653302872\n },\n\ \ \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.7314814814814815,\n\ \ \"acc_stderr\": 0.042844679680521934,\n \"acc_norm\": 0.7314814814814815,\n\ \ \"acc_norm_stderr\": 0.042844679680521934\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.6993865030674846,\n \"acc_stderr\": 0.03602511318806771,\n\ \ \"acc_norm\": 0.6993865030674846,\n \"acc_norm_stderr\": 0.03602511318806771\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\": 0.044986763205729224,\n\ \ \"acc_norm\": 0.7087378640776699,\n \"acc_norm_stderr\": 0.044986763205729224\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.8461538461538461,\n\ \ \"acc_stderr\": 0.02363687331748929,\n \"acc_norm\": 0.8461538461538461,\n\ \ \"acc_norm_stderr\": 0.02363687331748929\n },\n \"harness\|hendrycksTest-medical_genetics\|5\"\ : {\n \"acc\": 0.66,\n \"acc_stderr\": 0.04760952285695237,\n \ \ \"acc_norm\": 0.66,\n \"acc_norm_stderr\": 0.04760952285695237\n \ \ },\n \"harness\|hendrycksTest-miscellaneous\|5\": {\n \"acc\": 0.768837803320562,\n\ \ \"acc_stderr\": 0.015075523238101081,\n \"acc_norm\": 0.768837803320562,\n\ \ \"acc_norm_stderr\": 0.015075523238101081\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.6445086705202312,\n \"acc_stderr\": 0.025770292082977254,\n\ \ \"acc_norm\": 0.6445086705202312,\n \"acc_norm_stderr\": 0.025770292082977254\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.2916201117318436,\n\ \ \"acc_stderr\": 0.015201032512520439,\n \"acc_norm\": 0.2916201117318436,\n\ \ \"acc_norm_stderr\": 0.015201032512520439\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.6339869281045751,\n \"acc_stderr\": 0.02758281141515961,\n\ \ \"acc_norm\": 0.6339869281045751,\n \"acc_norm_stderr\": 0.02758281141515961\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.6463022508038585,\n\ \ \"acc_stderr\": 0.027155208103200868,\n \"acc_norm\": 0.6463022508038585,\n\ \ \"acc_norm_stderr\": 0.027155208103200868\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.6697530864197531,\n \"acc_stderr\": 0.026168298456732846,\n\ \ \"acc_norm\": 0.6697530864197531,\n \"acc_norm_stderr\": 0.026168298456732846\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.4574468085106383,\n \"acc_stderr\": 0.029719281272236855,\n \ \ \"acc_norm\": 0.4574468085106383,\n \"acc_norm_stderr\": 0.029719281272236855\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.41264667535853977,\n\ \ \"acc_stderr\": 0.012573836633799015,\n \"acc_norm\": 0.41264667535853977,\n\ \ \"acc_norm_stderr\": 0.012573836633799015\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.6102941176470589,\n \"acc_stderr\": 0.02962466358115969,\n\ \ \"acc_norm\": 0.6102941176470589,\n \"acc_norm_stderr\": 0.02962466358115969\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.619281045751634,\n \"acc_stderr\": 0.019643801557924803,\n \ \ \"acc_norm\": 0.619281045751634,\n \"acc_norm_stderr\": 0.019643801557924803\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.7,\n\ \ \"acc_stderr\": 0.04389311454644287,\n \"acc_norm\": 0.7,\n \ \ \"acc_norm_stderr\": 0.04389311454644287\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.6693877551020408,\n \"acc_stderr\": 0.0301164262965406,\n\ \ \"acc_norm\": 0.6693877551020408,\n \"acc_norm_stderr\": 0.0301164262965406\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.6318407960199005,\n\ \ \"acc_stderr\": 0.034104105654953025,\n \"acc_norm\": 0.6318407960199005,\n\ \ \"acc_norm_stderr\": 0.034104105654953025\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.78,\n \"acc_stderr\": 0.041633319989322626,\n \ \ \"acc_norm\": 0.78,\n \"acc_norm_stderr\": 0.041633319989322626\n \ \ },\n \"harness\|hendrycksTest-virology\|5\": {\n \"acc\": 0.4759036144578313,\n\ \ \"acc_stderr\": 0.03887971849597264,\n \"acc_norm\": 0.4759036144578313,\n\ \ \"acc_norm_stderr\": 0.03887971849597264\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.8187134502923976,\n \"acc_stderr\": 0.029547741687640038,\n\ \ \"acc_norm\": 0.8187134502923976,\n \"acc_norm_stderr\": 0.029547741687640038\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.5177478580171359,\n\ \ \"mc1_stderr\": 0.017492470843075356,\n \"mc2\": 0.6831698375539644,\n\ \ \"mc2_stderr\": 0.015593330487456654\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.7032359905288083,\n \"acc_stderr\": 0.012839239695202025\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.288855193328279,\n \ \ \"acc_stderr\": 0.012484219800126673\n }\n}\n```" repo_url: https://huggingface.co/JunchengXie/Mistral-7B-Instruct-v0.2-gpt-4-80k-base_lora 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_27T23_59_10.991747 path: - '/details_harness\|arc:challenge\|25_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2024-03-27T23-59-10.991747.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '/details_harness\|gsm8k\|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_03_27T23_59_10.991747 path: - '/details_harness\|hellaswag\|10_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-03-27T23-59-10.991747.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '/details_harness\|hendrycksTest-international_law\|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '/details_harness\|hendrycksTest-management\|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '/details_harness\|hendrycksTest-marketing\|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '/details_harness\|hendrycksTest-sociology\|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '/details_harness\|hendrycksTest-virology\|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_03_27T23_59_10.991747 path: - '/details_harness\|truthfulqa:mc\|0_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2024-03-27T23-59-10.991747.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '/details_harness\|winogrande\|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2024-03-27T23-59-10.991747.parquet' - config_name: results data_files: - split: 2024_03_27T23_59_10.991747 path: - results_2024-03-27T23-59-10.991747.parquet - split: latest path: - results_2024-03-27T23-59-10.991747.parquet --- # Dataset Card for Evaluation run of JunchengXie/Mistral-7B-Instruct-v0.2-gpt-4-80k-base_lora <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [JunchengXie/Mistral-7B-Instruct-v0.2-gpt-4-80k-base_lora](https://huggingface.co/JunchengXie/Mistral-7B-Instruct-v0.2-gpt-4-80k-base_lora) 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_JunchengXie__Mistral-7B-Instruct-v0.2-gpt-4-80k-base_lora", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-03-27T23:59:10.991747](https://huggingface.co/datasets/open-llm-leaderboard/details_JunchengXie__Mistral-7B-Instruct-v0.2-gpt-4-80k-base_lora/blob/main/results_2024-03-27T23-59-10.991747.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": 0.582160493650072, "acc_stderr": 0.03365366470977369, "acc_norm": 0.5887215545601854, "acc_norm_stderr": 0.03434852603389613, "mc1": 0.5177478580171359, "mc1_stderr": 0.017492470843075356, "mc2": 0.6831698375539644, "mc2_stderr": 0.015593330487456654 }, "harness\|arc:challenge\|25": { "acc": 0.5665529010238908, "acc_stderr": 0.014481376224558902, "acc_norm": 0.5947098976109215, "acc_norm_stderr": 0.014346869060229321 }, "harness\|hellaswag\|10": { "acc": 0.6102370045807608, "acc_stderr": 0.004866997110388195, "acc_norm": 0.7969527982473611, "acc_norm_stderr": 0.0040144524737232646 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.29, "acc_stderr": 0.04560480215720683, "acc_norm": 0.29, "acc_norm_stderr": 0.04560480215720683 }, "harness\|hendrycksTest-anatomy\|5": { "acc": 0.5777777777777777, "acc_stderr": 0.04266763404099582, "acc_norm": 0.5777777777777777, "acc_norm_stderr": 0.04266763404099582 }, "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": 0.56, "acc_stderr": 0.04988876515698589, "acc_norm": 0.56, "acc_norm_stderr": 0.04988876515698589 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.6452830188679245, "acc_stderr": 0.02944517532819959, "acc_norm": 0.6452830188679245, "acc_norm_stderr": 0.02944517532819959 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.6388888888888888, "acc_stderr": 0.04016660030451233, "acc_norm": 0.6388888888888888, "acc_norm_stderr": 0.04016660030451233 }, "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": 0.49, "acc_stderr": 0.05024183937956912, "acc_norm": 0.49, "acc_norm_stderr": 0.05024183937956912 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.35, "acc_stderr": 0.047937248544110196, "acc_norm": 0.35, "acc_norm_stderr": 0.047937248544110196 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.5549132947976878, "acc_stderr": 0.03789401760283647, "acc_norm": 0.5549132947976878, "acc_norm_stderr": 0.03789401760283647 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.4117647058823529, "acc_stderr": 0.04897104952726368, "acc_norm": 0.4117647058823529, "acc_norm_stderr": 0.04897104952726368 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.69, "acc_stderr": 0.04648231987117316, "acc_norm": 0.69, "acc_norm_stderr": 0.04648231987117316 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.48936170212765956, "acc_stderr": 0.03267862331014063, "acc_norm": 0.48936170212765956, "acc_norm_stderr": 0.03267862331014063 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.4473684210526316, "acc_stderr": 0.046774730044911984, "acc_norm": 0.4473684210526316, "acc_norm_stderr": 0.046774730044911984 }, "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": 0.38095238095238093, "acc_stderr": 0.025010749116137595, "acc_norm": 0.38095238095238093, "acc_norm_stderr": 0.025010749116137595 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.38095238095238093, "acc_stderr": 0.04343525428949098, "acc_norm": 0.38095238095238093, "acc_norm_stderr": 0.04343525428949098 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.41, "acc_stderr": 0.049431107042371025, "acc_norm": 0.41, "acc_norm_stderr": 0.049431107042371025 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.6064516129032258, "acc_stderr": 0.027791878753132274, "acc_norm": 0.6064516129032258, "acc_norm_stderr": 0.027791878753132274 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.4729064039408867, "acc_stderr": 0.03512819077876106, "acc_norm": 0.4729064039408867, "acc_norm_stderr": 0.03512819077876106 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.58, "acc_stderr": 0.049604496374885836, "acc_norm": 0.58, "acc_norm_stderr": 0.049604496374885836 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.7515151515151515, "acc_stderr": 0.033744026441394036, "acc_norm": 0.7515151515151515, "acc_norm_stderr": 0.033744026441394036 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.7272727272727273, "acc_stderr": 0.03173071239071724, "acc_norm": 0.7272727272727273, "acc_norm_stderr": 0.03173071239071724 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.8341968911917098, "acc_stderr": 0.026839845022314415, "acc_norm": 0.8341968911917098, "acc_norm_stderr": 0.026839845022314415 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.5384615384615384, "acc_stderr": 0.025275892070240648, "acc_norm": 0.5384615384615384, "acc_norm_stderr": 0.025275892070240648 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.2814814814814815, "acc_stderr": 0.027420019350945277, "acc_norm": 0.2814814814814815, "acc_norm_stderr": 0.027420019350945277 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.6260504201680672, "acc_stderr": 0.03142946637883708, "acc_norm": 0.6260504201680672, "acc_norm_stderr": 0.03142946637883708 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.3708609271523179, "acc_stderr": 0.03943966699183629, "acc_norm": 0.3708609271523179, "acc_norm_stderr": 0.03943966699183629 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.7577981651376147, "acc_stderr": 0.018368176306598618, "acc_norm": 0.7577981651376147, "acc_norm_stderr": 0.018368176306598618 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.4351851851851852, "acc_stderr": 0.03381200005643525, "acc_norm": 0.4351851851851852, "acc_norm_stderr": 0.03381200005643525 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.7352941176470589, "acc_stderr": 0.030964517926923393, "acc_norm": 0.7352941176470589, "acc_norm_stderr": 0.030964517926923393 }, "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": 0.6143497757847534, "acc_stderr": 0.03266842214289202, "acc_norm": 0.6143497757847534, "acc_norm_stderr": 0.03266842214289202 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.6870229007633588, "acc_stderr": 0.04066962905677698, "acc_norm": 0.6870229007633588, "acc_norm_stderr": 0.04066962905677698 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.743801652892562, "acc_stderr": 0.03984979653302872, "acc_norm": 0.743801652892562, "acc_norm_stderr": 0.03984979653302872 }, "harness\|hendrycksTest-jurisprudence\|5": { "acc": 0.7314814814814815, "acc_stderr": 0.042844679680521934, "acc_norm": 0.7314814814814815, "acc_norm_stderr": 0.042844679680521934 }, "harness\|hendrycksTest-logical_fallacies\|5": { "acc": 0.6993865030674846, "acc_stderr": 0.03602511318806771, "acc_norm": 0.6993865030674846, "acc_norm_stderr": 0.03602511318806771 }, "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": 0.044986763205729224, "acc_norm": 0.7087378640776699, "acc_norm_stderr": 0.044986763205729224 }, "harness\|hendrycksTest-marketing\|5": { "acc": 0.8461538461538461, "acc_stderr": 0.02363687331748929, "acc_norm": 0.8461538461538461, "acc_norm_stderr": 0.02363687331748929 }, "harness\|hendrycksTest-medical_genetics\|5": { "acc": 0.66, "acc_stderr": 0.04760952285695237, "acc_norm": 0.66, "acc_norm_stderr": 0.04760952285695237 }, "harness\|hendrycksTest-miscellaneous\|5": { "acc": 0.768837803320562, "acc_stderr": 0.015075523238101081, "acc_norm": 0.768837803320562, "acc_norm_stderr": 0.015075523238101081 }, "harness\|hendrycksTest-moral_disputes\|5": { "acc": 0.6445086705202312, "acc_stderr": 0.025770292082977254, "acc_norm": 0.6445086705202312, "acc_norm_stderr": 0.025770292082977254 }, "harness\|hendrycksTest-moral_scenarios\|5": { "acc": 0.2916201117318436, "acc_stderr": 0.015201032512520439, "acc_norm": 0.2916201117318436, "acc_norm_stderr": 0.015201032512520439 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.6339869281045751, "acc_stderr": 0.02758281141515961, "acc_norm": 0.6339869281045751, "acc_norm_stderr": 0.02758281141515961 }, "harness\|hendrycksTest-philosophy\|5": { "acc": 0.6463022508038585, "acc_stderr": 0.027155208103200868, "acc_norm": 0.6463022508038585, "acc_norm_stderr": 0.027155208103200868 }, "harness\|hendrycksTest-prehistory\|5": { "acc": 0.6697530864197531, "acc_stderr": 0.026168298456732846, "acc_norm": 0.6697530864197531, "acc_norm_stderr": 0.026168298456732846 }, "harness\|hendrycksTest-professional_accounting\|5": { "acc": 0.4574468085106383, "acc_stderr": 0.029719281272236855, "acc_norm": 0.4574468085106383, "acc_norm_stderr": 0.029719281272236855 }, "harness\|hendrycksTest-professional_law\|5": { "acc": 0.41264667535853977, "acc_stderr": 0.012573836633799015, "acc_norm": 0.41264667535853977, "acc_norm_stderr": 0.012573836633799015 }, "harness\|hendrycksTest-professional_medicine\|5": { "acc": 0.6102941176470589, "acc_stderr": 0.02962466358115969, "acc_norm": 0.6102941176470589, "acc_norm_stderr": 0.02962466358115969 }, "harness\|hendrycksTest-professional_psychology\|5": { "acc": 0.619281045751634, "acc_stderr": 0.019643801557924803, "acc_norm": 0.619281045751634, "acc_norm_stderr": 0.019643801557924803 }, "harness\|hendrycksTest-public_relations\|5": { "acc": 0.7, "acc_stderr": 0.04389311454644287, "acc_norm": 0.7, "acc_norm_stderr": 0.04389311454644287 }, "harness\|hendrycksTest-security_studies\|5": { "acc": 0.6693877551020408, "acc_stderr": 0.0301164262965406, "acc_norm": 0.6693877551020408, "acc_norm_stderr": 0.0301164262965406 }, "harness\|hendrycksTest-sociology\|5": { "acc": 0.6318407960199005, "acc_stderr": 0.034104105654953025, "acc_norm": 0.6318407960199005, "acc_norm_stderr": 0.034104105654953025 }, "harness\|hendrycksTest-us_foreign_policy\|5": { "acc": 0.78, "acc_stderr": 0.041633319989322626, "acc_norm": 0.78, "acc_norm_stderr": 0.041633319989322626 }, "harness\|hendrycksTest-virology\|5": { "acc": 0.4759036144578313, "acc_stderr": 0.03887971849597264, "acc_norm": 0.4759036144578313, "acc_norm_stderr": 0.03887971849597264 }, "harness\|hendrycksTest-world_religions\|5": { "acc": 0.8187134502923976, "acc_stderr": 0.029547741687640038, "acc_norm": 0.8187134502923976, "acc_norm_stderr": 0.029547741687640038 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.5177478580171359, "mc1_stderr": 0.017492470843075356, "mc2": 0.6831698375539644, "mc2_stderr": 0.015593330487456654 }, "harness\|winogrande\|5": { "acc": 0.7032359905288083, "acc_stderr": 0.012839239695202025 }, "harness\|gsm8k\|5": { "acc": 0.288855193328279, "acc_stderr": 0.012484219800126673 } } ``` ## 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 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It should also include self-reported demographic or identity information for the source data creators if this information is available. --> [More Information Needed] ### Annotations [optional] <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. --> #### Annotation process <!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. --> [More Information Needed] #### Who are the annotators? <!-- This section describes the people or systems who created the annotations. --> [More Information Needed] #### Personal and Sensitive Information <!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). 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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]
quocanh34/HNAG_new_cut_final	--- dataset_info: features: - name: audio dtype: audio: sampling_rate: 16000 - name: transcription dtype: string - name: w2v2_transcription dtype: string - name: WER dtype: int64 splits: - name: train num_bytes: 17336493.0 num_examples: 221 download_size: 17334343 dataset_size: 17336493.0 --- # Dataset Card for "HNAG_new_cut_final" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
open-llm-leaderboard/details_ehartford__Wizard-Vicuna-30B-Uncensored	--- pretty_name: Evaluation run of ehartford/Wizard-Vicuna-30B-Uncensored dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [ehartford/Wizard-Vicuna-30B-Uncensored](https://huggingface.co/ehartford/Wizard-Vicuna-30B-Uncensored)\ \ 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_ehartford__Wizard-Vicuna-30B-Uncensored\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-10-18T12:57:01.368480](https://huggingface.co/datasets/open-llm-leaderboard/details_ehartford__Wizard-Vicuna-30B-Uncensored/blob/main/results_2023-10-18T12-57-01.368480.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\": 0.18162751677852348,\n\ \ \"em_stderr\": 0.0039482621737543045,\n \"f1\": 0.2674087667785243,\n\ \ \"f1_stderr\": 0.004012090110572664,\n \"acc\": 0.46353130406008236,\n\ \ \"acc_stderr\": 0.01059244186586655\n },\n \"harness\|drop\|3\": {\n\ \ \"em\": 0.18162751677852348,\n \"em_stderr\": 0.0039482621737543045,\n\ \ \"f1\": 0.2674087667785243,\n \"f1_stderr\": 0.004012090110572664\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.1425322213798332,\n \ \ \"acc_stderr\": 0.009629588445673819\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.7845303867403315,\n \"acc_stderr\": 0.011555295286059279\n\ \ }\n}\n```" repo_url: https://huggingface.co/ehartford/Wizard-Vicuna-30B-Uncensored 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_19T22_31_27.283689 path: - '/details_harness\|arc:challenge\|25_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-07-19T22:31:27.283689.parquet' - config_name: harness_drop_3 data_files: - split: 2023_10_18T12_57_01.368480 path: - '/details_harness\|drop\|3_2023-10-18T12-57-01.368480.parquet' - split: latest path: - '/details_harness\|drop\|3_2023-10-18T12-57-01.368480.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_10_18T12_57_01.368480 path: - '/details_harness\|gsm8k\|5_2023-10-18T12-57-01.368480.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-10-18T12-57-01.368480.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_07_19T22_31_27.283689 path: - '/details_harness\|hellaswag\|10_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-07-19T22:31:27.283689.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '/details_harness\|hendrycksTest-management\|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '/details_harness\|hendrycksTest-virology\|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_07_19T22_31_27.283689 path: - '/details_harness\|truthfulqa:mc\|0_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-07-19T22:31:27.283689.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_10_18T12_57_01.368480 path: - '/details_harness\|winogrande\|5_2023-10-18T12-57-01.368480.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-10-18T12-57-01.368480.parquet' - config_name: results data_files: - split: 2023_07_19T22_31_27.283689 path: - results_2023-07-19T22:31:27.283689.parquet - split: 2023_10_18T12_57_01.368480 path: - results_2023-10-18T12-57-01.368480.parquet - split: latest path: - results_2023-10-18T12-57-01.368480.parquet --- # Dataset Card for Evaluation run of ehartford/Wizard-Vicuna-30B-Uncensored ## Dataset Description - Homepage: - Repository: https://huggingface.co/ehartford/Wizard-Vicuna-30B-Uncensored - 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 [ehartford/Wizard-Vicuna-30B-Uncensored](https://huggingface.co/ehartford/Wizard-Vicuna-30B-Uncensored) 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_ehartford__Wizard-Vicuna-30B-Uncensored", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-10-18T12:57:01.368480](https://huggingface.co/datasets/open-llm-leaderboard/details_ehartford__Wizard-Vicuna-30B-Uncensored/blob/main/results_2023-10-18T12-57-01.368480.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": 0.18162751677852348, "em_stderr": 0.0039482621737543045, "f1": 0.2674087667785243, "f1_stderr": 0.004012090110572664, "acc": 0.46353130406008236, "acc_stderr": 0.01059244186586655 }, "harness\|drop\|3": { "em": 0.18162751677852348, "em_stderr": 0.0039482621737543045, "f1": 0.2674087667785243, "f1_stderr": 0.004012090110572664 }, "harness\|gsm8k\|5": { "acc": 0.1425322213798332, "acc_stderr": 0.009629588445673819 }, "harness\|winogrande\|5": { "acc": 0.7845303867403315, "acc_stderr": 0.011555295286059279 } } ``` ### 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]
aureliojafer/twitter_dataset_1709851292	--- 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 splits: - name: train num_bytes: 95669 num_examples: 315 download_size: 58873 dataset_size: 95669 configs: - config_name: default data_files: - split: train path: data/train-* ---
liuyanchen1015/MULTI_VALUE_mnli_those_them	--- 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: 57212 num_examples: 218 - name: dev_mismatched num_bytes: 78118 num_examples: 274 - name: test_matched num_bytes: 57699 num_examples: 220 - name: test_mismatched num_bytes: 59977 num_examples: 210 - name: train num_bytes: 2021086 num_examples: 7730 download_size: 1301637 dataset_size: 2274092 --- # Dataset Card for "MULTI_VALUE_mnli_those_them" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
sorenmulli/da-hashtag-twitterhjerne	--- dataset_info: features: - name: Question dtype: string - name: Answer 1 dtype: string - name: Answer 2 dtype: string - name: Answer 3 dtype: string - name: Answer 4 dtype: string - name: Answer 5 dtype: string - name: Answer 6 dtype: string - name: 'Unnamed: 8' dtype: string - name: 'Unnamed: 9' dtype: string splits: - name: train num_bytes: 51635 num_examples: 78 download_size: 50291 dataset_size: 51635 configs: - config_name: default data_files: - split: train path: data/train-* --- # [WIP] Dataset Card for "da-hashtag-twitterhjerne" Please note that this dataset and dataset card both are works in progress. For now refer to the related [thesis](https://sorenmulli.github.io/thesis/thesis.pdf) for all details
richardr1126/spider-skeleton-context-instruct	--- language: - en license: - cc-by-4.0 source_datasets: - spider pretty_name: Spider Skeleton Context Instruct tags: - text-to-sql - SQL - Spider - fine-tune dataset_info: features: - name: db_id dtype: string - name: text dtype: string --- # Dataset Card for Spider Skeleton Context Instruct ### Dataset Summary Spider is a large-scale complex and cross-domain semantic parsing and text-to-SQL dataset annotated by 11 Yale students The goal of the Spider challenge is to develop natural language interfaces to cross-domain databases. This dataset was created to finetune LLMs in a `### Instruction:` and `### Response:` format with database context. ### Yale Lily Spider Leaderboards The leaderboard can be seen at https://yale-lily.github.io/spider ### Languages The text in the dataset is in English. ### Licensing Information The spider dataset is licensed under the [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/legalcode) ### Citation ``` @article{yu2018spider, title={Spider: A large-scale human-labeled dataset for complex and cross-domain semantic parsing and text-to-sql task}, author={Yu, Tao and Zhang, Rui and Yang, Kai and Yasunaga, Michihiro and Wang, Dongxu and Li, Zifan and Ma, James and Li, Irene and Yao, Qingning and Roman, Shanelle and others}, journal={arXiv preprint arXiv:1809.08887}, year={2018} } ```
samrm/mini-platypus	--- dataset_info: features: - name: instruction dtype: string - name: output dtype: string splits: - name: train num_bytes: 4186564 num_examples: 1000 download_size: 2245921 dataset_size: 4186564 configs: - config_name: default data_files: - split: train path: data/train-* ---
MITCriticalData/SAT1_dataset_5_top_cities	--- license: mit ---
jonasantos5240/marvin	--- license: openrail ---
xwjiang2010/pile_dedupe_val	--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 6062337711 num_examples: 1000000 download_size: 3343428302 dataset_size: 6062337711 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "pile_dedupe_val" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
open-llm-leaderboard/details_mwitiderrick__shearedplats-2.7b-v2-instruct-v0.1	--- pretty_name: Evaluation run of mwitiderrick/shearedplats-2.7b-v2-instruct-v0.1 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [mwitiderrick/shearedplats-2.7b-v2-instruct-v0.1](https://huggingface.co/mwitiderrick/shearedplats-2.7b-v2-instruct-v0.1)\ \ 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_mwitiderrick__shearedplats-2.7b-v2-instruct-v0.1\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-12-09T18:49:52.400292](https://huggingface.co/datasets/open-llm-leaderboard/details_mwitiderrick__shearedplats-2.7b-v2-instruct-v0.1/blob/main/results_2023-12-09T18-49-52.400292.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\": 0.2882361931913223,\n\ \ \"acc_stderr\": 0.031895486998552665,\n \"acc_norm\": 0.2903928342274915,\n\ \ \"acc_norm_stderr\": 0.03267939625046512,\n \"mc1\": 0.2729498164014688,\n\ \ \"mc1_stderr\": 0.015594753632006535,\n \"mc2\": 0.41227748774876055,\n\ \ \"mc2_stderr\": 0.014572961912704371\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.3660409556313993,\n \"acc_stderr\": 0.01407722310847014,\n\ \ \"acc_norm\": 0.40187713310580203,\n \"acc_norm_stderr\": 0.014327268614578274\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.5142401911969727,\n\ \ \"acc_stderr\": 0.00498775731476984,\n \"acc_norm\": 0.7007568213503286,\n\ \ \"acc_norm_stderr\": 0.00456990648509029\n },\n \"harness\|hendrycksTest-abstract_algebra\|5\"\ : {\n \"acc\": 0.23,\n \"acc_stderr\": 0.04229525846816506,\n \ \ \"acc_norm\": 0.23,\n \"acc_norm_stderr\": 0.04229525846816506\n \ \ },\n \"harness\|hendrycksTest-anatomy\|5\": {\n \"acc\": 0.31851851851851853,\n\ \ \"acc_stderr\": 0.040247784019771096,\n \"acc_norm\": 0.31851851851851853,\n\ \ \"acc_norm_stderr\": 0.040247784019771096\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.21052631578947367,\n \"acc_stderr\": 0.03317672787533157,\n\ \ \"acc_norm\": 0.21052631578947367,\n \"acc_norm_stderr\": 0.03317672787533157\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|5\": {\n \"acc\": 0.36,\n\ \ \"acc_stderr\": 0.04824181513244218,\n \"acc_norm\": 0.36,\n \ \ \"acc_norm_stderr\": 0.04824181513244218\n },\n \"harness\|hendrycksTest-clinical_knowledge\|5\"\ : {\n \"acc\": 0.2830188679245283,\n \"acc_stderr\": 0.027724236492700904,\n\ \ \"acc_norm\": 0.2830188679245283,\n \"acc_norm_stderr\": 0.027724236492700904\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.3263888888888889,\n\ \ \"acc_stderr\": 0.03921067198982266,\n \"acc_norm\": 0.3263888888888889,\n\ \ \"acc_norm_stderr\": 0.03921067198982266\n },\n \"harness\|hendrycksTest-college_chemistry\|5\"\ : {\n \"acc\": 0.2,\n \"acc_stderr\": 0.04020151261036846,\n \ \ \"acc_norm\": 0.2,\n \"acc_norm_stderr\": 0.04020151261036846\n },\n\ \ \"harness\|hendrycksTest-college_computer_science\|5\": {\n \"acc\": 0.31,\n\ \ \"acc_stderr\": 0.046482319871173156,\n \"acc_norm\": 0.31,\n \ \ \"acc_norm_stderr\": 0.046482319871173156\n },\n \"harness\|hendrycksTest-college_mathematics\|5\"\ : {\n \"acc\": 0.19,\n \"acc_stderr\": 0.03942772444036623,\n \ \ \"acc_norm\": 0.19,\n \"acc_norm_stderr\": 0.03942772444036623\n \ \ },\n \"harness\|hendrycksTest-college_medicine\|5\": {\n \"acc\": 0.2254335260115607,\n\ \ \"acc_stderr\": 0.03186209851641144,\n \"acc_norm\": 0.2254335260115607,\n\ \ \"acc_norm_stderr\": 0.03186209851641144\n },\n \"harness\|hendrycksTest-college_physics\|5\"\ : {\n \"acc\": 0.23529411764705882,\n \"acc_stderr\": 0.042207736591714534,\n\ \ \"acc_norm\": 0.23529411764705882,\n \"acc_norm_stderr\": 0.042207736591714534\n\ \ },\n \"harness\|hendrycksTest-computer_security\|5\": {\n \"acc\":\ \ 0.39,\n \"acc_stderr\": 0.04902071300001975,\n \"acc_norm\": 0.39,\n\ \ \"acc_norm_stderr\": 0.04902071300001975\n },\n \"harness\|hendrycksTest-conceptual_physics\|5\"\ : {\n \"acc\": 0.31063829787234043,\n \"acc_stderr\": 0.030251237579213174,\n\ \ \"acc_norm\": 0.31063829787234043,\n \"acc_norm_stderr\": 0.030251237579213174\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.22807017543859648,\n\ \ \"acc_stderr\": 0.03947152782669415,\n \"acc_norm\": 0.22807017543859648,\n\ \ \"acc_norm_stderr\": 0.03947152782669415\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.31724137931034485,\n \"acc_stderr\": 0.038783523721386215,\n\ \ \"acc_norm\": 0.31724137931034485,\n \"acc_norm_stderr\": 0.038783523721386215\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.20899470899470898,\n \"acc_stderr\": 0.020940481565334835,\n \"\ acc_norm\": 0.20899470899470898,\n \"acc_norm_stderr\": 0.020940481565334835\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.2857142857142857,\n\ \ \"acc_stderr\": 0.04040610178208841,\n \"acc_norm\": 0.2857142857142857,\n\ \ \"acc_norm_stderr\": 0.04040610178208841\n },\n \"harness\|hendrycksTest-global_facts\|5\"\ : {\n \"acc\": 0.27,\n \"acc_stderr\": 0.04461960433384741,\n \ \ \"acc_norm\": 0.27,\n \"acc_norm_stderr\": 0.04461960433384741\n \ \ },\n \"harness\|hendrycksTest-high_school_biology\|5\": {\n \"acc\": 0.24516129032258063,\n\ \ \"acc_stderr\": 0.024472243840895525,\n \"acc_norm\": 0.24516129032258063,\n\ \ \"acc_norm_stderr\": 0.024472243840895525\n },\n \"harness\|hendrycksTest-high_school_chemistry\|5\"\ : {\n \"acc\": 0.2413793103448276,\n \"acc_stderr\": 0.030108330718011625,\n\ \ \"acc_norm\": 0.2413793103448276,\n \"acc_norm_stderr\": 0.030108330718011625\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|5\": {\n \ \ \"acc\": 0.29,\n \"acc_stderr\": 0.04560480215720684,\n \"acc_norm\"\ : 0.29,\n \"acc_norm_stderr\": 0.04560480215720684\n },\n \"harness\|hendrycksTest-high_school_european_history\|5\"\ : {\n \"acc\": 0.2909090909090909,\n \"acc_stderr\": 0.03546563019624335,\n\ \ \"acc_norm\": 0.2909090909090909,\n \"acc_norm_stderr\": 0.03546563019624335\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.29292929292929293,\n \"acc_stderr\": 0.03242497958178815,\n \"\ acc_norm\": 0.29292929292929293,\n \"acc_norm_stderr\": 0.03242497958178815\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.25906735751295334,\n \"acc_stderr\": 0.031618779179354115,\n\ \ \"acc_norm\": 0.25906735751295334,\n \"acc_norm_stderr\": 0.031618779179354115\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.23333333333333334,\n \"acc_stderr\": 0.02144454730156047,\n\ \ \"acc_norm\": 0.23333333333333334,\n \"acc_norm_stderr\": 0.02144454730156047\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.24814814814814815,\n \"acc_stderr\": 0.0263357394040558,\n \ \ \"acc_norm\": 0.24814814814814815,\n \"acc_norm_stderr\": 0.0263357394040558\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.226890756302521,\n \"acc_stderr\": 0.027205371538279496,\n \ \ \"acc_norm\": 0.226890756302521,\n \"acc_norm_stderr\": 0.027205371538279496\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.23841059602649006,\n \"acc_stderr\": 0.034791855725996586,\n \"\ acc_norm\": 0.23841059602649006,\n \"acc_norm_stderr\": 0.034791855725996586\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.28990825688073396,\n \"acc_stderr\": 0.019453066609201597,\n \"\ acc_norm\": 0.28990825688073396,\n \"acc_norm_stderr\": 0.019453066609201597\n\ \ },\n \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\"\ : 0.27314814814814814,\n \"acc_stderr\": 0.030388051301678116,\n \"\ acc_norm\": 0.27314814814814814,\n \"acc_norm_stderr\": 0.030388051301678116\n\ \ },\n \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\"\ : 0.25980392156862747,\n \"acc_stderr\": 0.03077855467869326,\n \"\ acc_norm\": 0.25980392156862747,\n \"acc_norm_stderr\": 0.03077855467869326\n\ \ },\n \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"\ acc\": 0.31645569620253167,\n \"acc_stderr\": 0.03027497488021898,\n \ \ \"acc_norm\": 0.31645569620253167,\n \"acc_norm_stderr\": 0.03027497488021898\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.29596412556053814,\n\ \ \"acc_stderr\": 0.0306365913486998,\n \"acc_norm\": 0.29596412556053814,\n\ \ \"acc_norm_stderr\": 0.0306365913486998\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.29770992366412213,\n \"acc_stderr\": 0.04010358942462203,\n\ \ \"acc_norm\": 0.29770992366412213,\n \"acc_norm_stderr\": 0.04010358942462203\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.38016528925619836,\n \"acc_stderr\": 0.04431324501968432,\n \"\ acc_norm\": 0.38016528925619836,\n \"acc_norm_stderr\": 0.04431324501968432\n\ \ },\n \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.3333333333333333,\n\ \ \"acc_stderr\": 0.04557239513497751,\n \"acc_norm\": 0.3333333333333333,\n\ \ \"acc_norm_stderr\": 0.04557239513497751\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.32515337423312884,\n \"acc_stderr\": 0.036803503712864616,\n\ \ \"acc_norm\": 0.32515337423312884,\n \"acc_norm_stderr\": 0.036803503712864616\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.29464285714285715,\n\ \ \"acc_stderr\": 0.043270409325787296,\n \"acc_norm\": 0.29464285714285715,\n\ \ \"acc_norm_stderr\": 0.043270409325787296\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.2815533980582524,\n \"acc_stderr\": 0.04453254836326469,\n\ \ \"acc_norm\": 0.2815533980582524,\n \"acc_norm_stderr\": 0.04453254836326469\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.3162393162393162,\n\ \ \"acc_stderr\": 0.030463656747340268,\n \"acc_norm\": 0.3162393162393162,\n\ \ \"acc_norm_stderr\": 0.030463656747340268\n },\n \"harness\|hendrycksTest-medical_genetics\|5\"\ : {\n \"acc\": 0.22,\n \"acc_stderr\": 0.0416333199893227,\n \ \ \"acc_norm\": 0.22,\n \"acc_norm_stderr\": 0.0416333199893227\n },\n\ \ \"harness\|hendrycksTest-miscellaneous\|5\": {\n \"acc\": 0.37292464878671777,\n\ \ \"acc_stderr\": 0.017292868269453924,\n \"acc_norm\": 0.37292464878671777,\n\ \ \"acc_norm_stderr\": 0.017292868269453924\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.32947976878612717,\n \"acc_stderr\": 0.025305258131879716,\n\ \ \"acc_norm\": 0.32947976878612717,\n \"acc_norm_stderr\": 0.025305258131879716\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.2558659217877095,\n\ \ \"acc_stderr\": 0.014593620923210742,\n \"acc_norm\": 0.2558659217877095,\n\ \ \"acc_norm_stderr\": 0.014593620923210742\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.26143790849673204,\n \"acc_stderr\": 0.025160998214292456,\n\ \ \"acc_norm\": 0.26143790849673204,\n \"acc_norm_stderr\": 0.025160998214292456\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.2990353697749196,\n\ \ \"acc_stderr\": 0.02600330111788513,\n \"acc_norm\": 0.2990353697749196,\n\ \ \"acc_norm_stderr\": 0.02600330111788513\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.3271604938271605,\n \"acc_stderr\": 0.026105673861409825,\n\ \ \"acc_norm\": 0.3271604938271605,\n \"acc_norm_stderr\": 0.026105673861409825\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.29432624113475175,\n \"acc_stderr\": 0.027187127011503793,\n \ \ \"acc_norm\": 0.29432624113475175,\n \"acc_norm_stderr\": 0.027187127011503793\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.28096479791395046,\n\ \ \"acc_stderr\": 0.011479684550077692,\n \"acc_norm\": 0.28096479791395046,\n\ \ \"acc_norm_stderr\": 0.011479684550077692\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.20220588235294118,\n \"acc_stderr\": 0.024398192986654924,\n\ \ \"acc_norm\": 0.20220588235294118,\n \"acc_norm_stderr\": 0.024398192986654924\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.2875816993464052,\n \"acc_stderr\": 0.018311653053648222,\n \ \ \"acc_norm\": 0.2875816993464052,\n \"acc_norm_stderr\": 0.018311653053648222\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.2909090909090909,\n\ \ \"acc_stderr\": 0.04350271442923243,\n \"acc_norm\": 0.2909090909090909,\n\ \ \"acc_norm_stderr\": 0.04350271442923243\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.22040816326530613,\n \"acc_stderr\": 0.026537045312145287,\n\ \ \"acc_norm\": 0.22040816326530613,\n \"acc_norm_stderr\": 0.026537045312145287\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.32338308457711445,\n\ \ \"acc_stderr\": 0.033076159479790326,\n \"acc_norm\": 0.32338308457711445,\n\ \ \"acc_norm_stderr\": 0.033076159479790326\n },\n \"harness\|hendrycksTest-us_foreign_policy\|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-virology\|5\": {\n \"acc\": 0.3072289156626506,\n\ \ \"acc_stderr\": 0.035915667978246635,\n \"acc_norm\": 0.3072289156626506,\n\ \ \"acc_norm_stderr\": 0.035915667978246635\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.32748538011695905,\n \"acc_stderr\": 0.035993357714560276,\n\ \ \"acc_norm\": 0.32748538011695905,\n \"acc_norm_stderr\": 0.035993357714560276\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.2729498164014688,\n\ \ \"mc1_stderr\": 0.015594753632006535,\n \"mc2\": 0.41227748774876055,\n\ \ \"mc2_stderr\": 0.014572961912704371\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.6503551696921863,\n \"acc_stderr\": 0.013402073680850515\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.02122820318423048,\n \ \ \"acc_stderr\": 0.003970449129848635\n }\n}\n```" repo_url: https://huggingface.co/mwitiderrick/shearedplats-2.7b-v2-instruct-v0.1 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_09T18_49_52.400292 path: - '/details_harness\|arc:challenge\|25_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-12-09T18-49-52.400292.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '/details_harness\|gsm8k\|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_12_09T18_49_52.400292 path: - '/details_harness\|hellaswag\|10_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-12-09T18-49-52.400292.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '/details_harness\|hendrycksTest-management\|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '/details_harness\|hendrycksTest-virology\|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_12_09T18_49_52.400292 path: - '/details_harness\|truthfulqa:mc\|0_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-12-09T18-49-52.400292.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '/details_harness\|winogrande\|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-12-09T18-49-52.400292.parquet' - config_name: results data_files: - split: 2023_12_09T18_49_52.400292 path: - results_2023-12-09T18-49-52.400292.parquet - split: latest path: - results_2023-12-09T18-49-52.400292.parquet --- # Dataset Card for Evaluation run of mwitiderrick/shearedplats-2.7b-v2-instruct-v0.1 ## Dataset Description - Homepage: - Repository: https://huggingface.co/mwitiderrick/shearedplats-2.7b-v2-instruct-v0.1 - 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 [mwitiderrick/shearedplats-2.7b-v2-instruct-v0.1](https://huggingface.co/mwitiderrick/shearedplats-2.7b-v2-instruct-v0.1) 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_mwitiderrick__shearedplats-2.7b-v2-instruct-v0.1", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-12-09T18:49:52.400292](https://huggingface.co/datasets/open-llm-leaderboard/details_mwitiderrick__shearedplats-2.7b-v2-instruct-v0.1/blob/main/results_2023-12-09T18-49-52.400292.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": 0.2882361931913223, "acc_stderr": 0.031895486998552665, "acc_norm": 0.2903928342274915, "acc_norm_stderr": 0.03267939625046512, "mc1": 0.2729498164014688, "mc1_stderr": 0.015594753632006535, "mc2": 0.41227748774876055, "mc2_stderr": 0.014572961912704371 }, "harness\|arc:challenge\|25": { "acc": 0.3660409556313993, "acc_stderr": 0.01407722310847014, "acc_norm": 0.40187713310580203, "acc_norm_stderr": 0.014327268614578274 }, "harness\|hellaswag\|10": { "acc": 0.5142401911969727, "acc_stderr": 0.00498775731476984, "acc_norm": 0.7007568213503286, "acc_norm_stderr": 0.00456990648509029 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.23, "acc_stderr": 0.04229525846816506, "acc_norm": 0.23, "acc_norm_stderr": 0.04229525846816506 }, "harness\|hendrycksTest-anatomy\|5": { "acc": 0.31851851851851853, "acc_stderr": 0.040247784019771096, "acc_norm": 0.31851851851851853, "acc_norm_stderr": 0.040247784019771096 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.21052631578947367, "acc_stderr": 0.03317672787533157, "acc_norm": 0.21052631578947367, "acc_norm_stderr": 0.03317672787533157 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.36, "acc_stderr": 0.04824181513244218, "acc_norm": 0.36, "acc_norm_stderr": 0.04824181513244218 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.2830188679245283, "acc_stderr": 0.027724236492700904, "acc_norm": 0.2830188679245283, "acc_norm_stderr": 0.027724236492700904 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.3263888888888889, "acc_stderr": 0.03921067198982266, "acc_norm": 0.3263888888888889, "acc_norm_stderr": 0.03921067198982266 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.2, "acc_stderr": 0.04020151261036846, "acc_norm": 0.2, "acc_norm_stderr": 0.04020151261036846 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.31, "acc_stderr": 0.046482319871173156, "acc_norm": 0.31, "acc_norm_stderr": 0.046482319871173156 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.19, "acc_stderr": 0.03942772444036623, "acc_norm": 0.19, "acc_norm_stderr": 0.03942772444036623 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.2254335260115607, "acc_stderr": 0.03186209851641144, "acc_norm": 0.2254335260115607, "acc_norm_stderr": 0.03186209851641144 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.23529411764705882, "acc_stderr": 0.042207736591714534, "acc_norm": 0.23529411764705882, "acc_norm_stderr": 0.042207736591714534 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.39, "acc_stderr": 0.04902071300001975, "acc_norm": 0.39, "acc_norm_stderr": 0.04902071300001975 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.31063829787234043, "acc_stderr": 0.030251237579213174, "acc_norm": 0.31063829787234043, "acc_norm_stderr": 0.030251237579213174 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.22807017543859648, "acc_stderr": 0.03947152782669415, "acc_norm": 0.22807017543859648, "acc_norm_stderr": 0.03947152782669415 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.31724137931034485, "acc_stderr": 0.038783523721386215, "acc_norm": 0.31724137931034485, "acc_norm_stderr": 0.038783523721386215 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.20899470899470898, "acc_stderr": 0.020940481565334835, "acc_norm": 0.20899470899470898, "acc_norm_stderr": 0.020940481565334835 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.2857142857142857, "acc_stderr": 0.04040610178208841, "acc_norm": 0.2857142857142857, "acc_norm_stderr": 0.04040610178208841 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.27, "acc_stderr": 0.04461960433384741, "acc_norm": 0.27, "acc_norm_stderr": 0.04461960433384741 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.24516129032258063, "acc_stderr": 0.024472243840895525, "acc_norm": 0.24516129032258063, "acc_norm_stderr": 0.024472243840895525 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.2413793103448276, "acc_stderr": 0.030108330718011625, "acc_norm": 0.2413793103448276, "acc_norm_stderr": 0.030108330718011625 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.29, "acc_stderr": 0.04560480215720684, "acc_norm": 0.29, "acc_norm_stderr": 0.04560480215720684 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.2909090909090909, "acc_stderr": 0.03546563019624335, "acc_norm": 0.2909090909090909, "acc_norm_stderr": 0.03546563019624335 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.29292929292929293, "acc_stderr": 0.03242497958178815, "acc_norm": 0.29292929292929293, "acc_norm_stderr": 0.03242497958178815 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.25906735751295334, "acc_stderr": 0.031618779179354115, "acc_norm": 0.25906735751295334, "acc_norm_stderr": 0.031618779179354115 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.23333333333333334, "acc_stderr": 0.02144454730156047, "acc_norm": 0.23333333333333334, "acc_norm_stderr": 0.02144454730156047 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.24814814814814815, "acc_stderr": 0.0263357394040558, "acc_norm": 0.24814814814814815, "acc_norm_stderr": 0.0263357394040558 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.226890756302521, "acc_stderr": 0.027205371538279496, "acc_norm": 0.226890756302521, "acc_norm_stderr": 0.027205371538279496 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.23841059602649006, "acc_stderr": 0.034791855725996586, "acc_norm": 0.23841059602649006, "acc_norm_stderr": 0.034791855725996586 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.28990825688073396, "acc_stderr": 0.019453066609201597, "acc_norm": 0.28990825688073396, "acc_norm_stderr": 0.019453066609201597 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.27314814814814814, "acc_stderr": 0.030388051301678116, "acc_norm": 0.27314814814814814, "acc_norm_stderr": 0.030388051301678116 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.25980392156862747, "acc_stderr": 0.03077855467869326, "acc_norm": 0.25980392156862747, "acc_norm_stderr": 0.03077855467869326 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.31645569620253167, "acc_stderr": 0.03027497488021898, "acc_norm": 0.31645569620253167, "acc_norm_stderr": 0.03027497488021898 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.29596412556053814, "acc_stderr": 0.0306365913486998, "acc_norm": 0.29596412556053814, "acc_norm_stderr": 0.0306365913486998 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.29770992366412213, "acc_stderr": 0.04010358942462203, "acc_norm": 0.29770992366412213, "acc_norm_stderr": 0.04010358942462203 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.38016528925619836, "acc_stderr": 0.04431324501968432, "acc_norm": 0.38016528925619836, "acc_norm_stderr": 0.04431324501968432 }, "harness\|hendrycksTest-jurisprudence\|5": { "acc": 0.3333333333333333, "acc_stderr": 0.04557239513497751, "acc_norm": 0.3333333333333333, "acc_norm_stderr": 0.04557239513497751 }, "harness\|hendrycksTest-logical_fallacies\|5": { "acc": 0.32515337423312884, "acc_stderr": 0.036803503712864616, "acc_norm": 0.32515337423312884, "acc_norm_stderr": 0.036803503712864616 }, "harness\|hendrycksTest-machine_learning\|5": { "acc": 0.29464285714285715, "acc_stderr": 0.043270409325787296, "acc_norm": 0.29464285714285715, "acc_norm_stderr": 0.043270409325787296 }, "harness\|hendrycksTest-management\|5": { "acc": 0.2815533980582524, "acc_stderr": 0.04453254836326469, "acc_norm": 0.2815533980582524, "acc_norm_stderr": 0.04453254836326469 }, "harness\|hendrycksTest-marketing\|5": { "acc": 0.3162393162393162, "acc_stderr": 0.030463656747340268, "acc_norm": 0.3162393162393162, "acc_norm_stderr": 0.030463656747340268 }, "harness\|hendrycksTest-medical_genetics\|5": { "acc": 0.22, "acc_stderr": 0.0416333199893227, "acc_norm": 0.22, "acc_norm_stderr": 0.0416333199893227 }, "harness\|hendrycksTest-miscellaneous\|5": { "acc": 0.37292464878671777, "acc_stderr": 0.017292868269453924, "acc_norm": 0.37292464878671777, "acc_norm_stderr": 0.017292868269453924 }, "harness\|hendrycksTest-moral_disputes\|5": { "acc": 0.32947976878612717, "acc_stderr": 0.025305258131879716, "acc_norm": 0.32947976878612717, "acc_norm_stderr": 0.025305258131879716 }, "harness\|hendrycksTest-moral_scenarios\|5": { "acc": 0.2558659217877095, "acc_stderr": 0.014593620923210742, "acc_norm": 0.2558659217877095, "acc_norm_stderr": 0.014593620923210742 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.26143790849673204, "acc_stderr": 0.025160998214292456, "acc_norm": 0.26143790849673204, "acc_norm_stderr": 0.025160998214292456 }, "harness\|hendrycksTest-philosophy\|5": { "acc": 0.2990353697749196, "acc_stderr": 0.02600330111788513, "acc_norm": 0.2990353697749196, "acc_norm_stderr": 0.02600330111788513 }, "harness\|hendrycksTest-prehistory\|5": { "acc": 0.3271604938271605, "acc_stderr": 0.026105673861409825, "acc_norm": 0.3271604938271605, "acc_norm_stderr": 0.026105673861409825 }, "harness\|hendrycksTest-professional_accounting\|5": { "acc": 0.29432624113475175, "acc_stderr": 0.027187127011503793, "acc_norm": 0.29432624113475175, "acc_norm_stderr": 0.027187127011503793 }, "harness\|hendrycksTest-professional_law\|5": { "acc": 0.28096479791395046, "acc_stderr": 0.011479684550077692, "acc_norm": 0.28096479791395046, "acc_norm_stderr": 0.011479684550077692 }, "harness\|hendrycksTest-professional_medicine\|5": { "acc": 0.20220588235294118, "acc_stderr": 0.024398192986654924, "acc_norm": 0.20220588235294118, "acc_norm_stderr": 0.024398192986654924 }, "harness\|hendrycksTest-professional_psychology\|5": { "acc": 0.2875816993464052, "acc_stderr": 0.018311653053648222, "acc_norm": 0.2875816993464052, "acc_norm_stderr": 0.018311653053648222 }, "harness\|hendrycksTest-public_relations\|5": { "acc": 0.2909090909090909, "acc_stderr": 0.04350271442923243, "acc_norm": 0.2909090909090909, "acc_norm_stderr": 0.04350271442923243 }, "harness\|hendrycksTest-security_studies\|5": { "acc": 0.22040816326530613, "acc_stderr": 0.026537045312145287, "acc_norm": 0.22040816326530613, "acc_norm_stderr": 0.026537045312145287 }, "harness\|hendrycksTest-sociology\|5": { "acc": 0.32338308457711445, "acc_stderr": 0.033076159479790326, "acc_norm": 0.32338308457711445, "acc_norm_stderr": 0.033076159479790326 }, "harness\|hendrycksTest-us_foreign_policy\|5": { "acc": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness\|hendrycksTest-virology\|5": { "acc": 0.3072289156626506, "acc_stderr": 0.035915667978246635, "acc_norm": 0.3072289156626506, "acc_norm_stderr": 0.035915667978246635 }, "harness\|hendrycksTest-world_religions\|5": { "acc": 0.32748538011695905, "acc_stderr": 0.035993357714560276, "acc_norm": 0.32748538011695905, "acc_norm_stderr": 0.035993357714560276 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.2729498164014688, "mc1_stderr": 0.015594753632006535, "mc2": 0.41227748774876055, "mc2_stderr": 0.014572961912704371 }, "harness\|winogrande\|5": { "acc": 0.6503551696921863, "acc_stderr": 0.013402073680850515 }, "harness\|gsm8k\|5": { "acc": 0.02122820318423048, "acc_stderr": 0.003970449129848635 } } ``` ### 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]
tyzhu/wiki_find_passage_train100_eval40_num	--- configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* dataset_info: features: - name: inputs dtype: string - name: targets dtype: string splits: - name: train num_bytes: 158210 num_examples: 240 - name: validation num_bytes: 33332 num_examples: 40 download_size: 95417 dataset_size: 191542 --- # Dataset Card for "wiki_find_passage_train100_eval40_num" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
ighoshsubho/llama_mistral_dataset	--- license: apache-2.0 dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 82923 num_examples: 434 download_size: 37474 dataset_size: 82923 configs: - config_name: default data_files: - split: train path: data/train-* ---
open-llm-leaderboard/details_allenai__tulu-2-dpo-70b	--- pretty_name: Evaluation run of allenai/tulu-2-dpo-70b dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [allenai/tulu-2-dpo-70b](https://huggingface.co/allenai/tulu-2-dpo-70b) 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_allenai__tulu-2-dpo-70b\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-02-02T06:48:43.589029](https://huggingface.co/datasets/open-llm-leaderboard/details_allenai__tulu-2-dpo-70b/blob/main/results_2024-02-02T06-48-43.589029.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\": 0.699296658680991,\n\ \ \"acc_stderr\": 0.03051571429129605,\n \"acc_norm\": 0.7020037559735633,\n\ \ \"acc_norm_stderr\": 0.031114133505086575,\n \"mc1\": 0.4675642594859241,\n\ \ \"mc1_stderr\": 0.017466632149577613,\n \"mc2\": 0.6577655722264159,\n\ \ \"mc2_stderr\": 0.014903281756393213\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.6825938566552902,\n \"acc_stderr\": 0.013602239088038167,\n\ \ \"acc_norm\": 0.7209897610921502,\n \"acc_norm_stderr\": 0.01310678488360134\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.7082254530969926,\n\ \ \"acc_stderr\": 0.004536500714147989,\n \"acc_norm\": 0.8898625771758614,\n\ \ \"acc_norm_stderr\": 0.0031242116171988606\n },\n \"harness\|hendrycksTest-abstract_algebra\|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-anatomy\|5\": {\n \"acc\": 0.6148148148148148,\n\ \ \"acc_stderr\": 0.04203921040156279,\n \"acc_norm\": 0.6148148148148148,\n\ \ \"acc_norm_stderr\": 0.04203921040156279\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.7828947368421053,\n \"acc_stderr\": 0.03355045304882924,\n\ \ \"acc_norm\": 0.7828947368421053,\n \"acc_norm_stderr\": 0.03355045304882924\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|5\": {\n \"acc\": 0.73,\n\ \ \"acc_stderr\": 0.0446196043338474,\n \"acc_norm\": 0.73,\n \ \ \"acc_norm_stderr\": 0.0446196043338474\n },\n \"harness\|hendrycksTest-clinical_knowledge\|5\"\ : {\n \"acc\": 0.7509433962264151,\n \"acc_stderr\": 0.02661648298050171,\n\ \ \"acc_norm\": 0.7509433962264151,\n \"acc_norm_stderr\": 0.02661648298050171\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.8263888888888888,\n\ \ \"acc_stderr\": 0.03167473383795718,\n \"acc_norm\": 0.8263888888888888,\n\ \ \"acc_norm_stderr\": 0.03167473383795718\n },\n \"harness\|hendrycksTest-college_chemistry\|5\"\ : {\n \"acc\": 0.51,\n \"acc_stderr\": 0.05024183937956911,\n \ \ \"acc_norm\": 0.51,\n \"acc_norm_stderr\": 0.05024183937956911\n \ \ },\n \"harness\|hendrycksTest-college_computer_science\|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-college_mathematics\|5\"\ : {\n \"acc\": 0.39,\n \"acc_stderr\": 0.049020713000019756,\n \ \ \"acc_norm\": 0.39,\n \"acc_norm_stderr\": 0.049020713000019756\n \ \ },\n \"harness\|hendrycksTest-college_medicine\|5\": {\n \"acc\": 0.7225433526011561,\n\ \ \"acc_stderr\": 0.03414014007044037,\n \"acc_norm\": 0.7225433526011561,\n\ \ \"acc_norm_stderr\": 0.03414014007044037\n },\n \"harness\|hendrycksTest-college_physics\|5\"\ : {\n \"acc\": 0.43137254901960786,\n \"acc_stderr\": 0.04928099597287534,\n\ \ \"acc_norm\": 0.43137254901960786,\n \"acc_norm_stderr\": 0.04928099597287534\n\ \ },\n \"harness\|hendrycksTest-computer_security\|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-conceptual_physics\|5\"\ : {\n \"acc\": 0.6978723404255319,\n \"acc_stderr\": 0.03001755447188056,\n\ \ \"acc_norm\": 0.6978723404255319,\n \"acc_norm_stderr\": 0.03001755447188056\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\": 0.5793103448275863,\n \"acc_stderr\": 0.04113914981189261,\n\ \ \"acc_norm\": 0.5793103448275863,\n \"acc_norm_stderr\": 0.04113914981189261\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.455026455026455,\n \"acc_stderr\": 0.025646928361049398,\n \"\ acc_norm\": 0.455026455026455,\n \"acc_norm_stderr\": 0.025646928361049398\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.48412698412698413,\n\ \ \"acc_stderr\": 0.04469881854072606,\n \"acc_norm\": 0.48412698412698413,\n\ \ \"acc_norm_stderr\": 0.04469881854072606\n },\n \"harness\|hendrycksTest-global_facts\|5\"\ : {\n \"acc\": 0.52,\n \"acc_stderr\": 0.050211673156867795,\n \ \ \"acc_norm\": 0.52,\n \"acc_norm_stderr\": 0.050211673156867795\n \ \ },\n \"harness\|hendrycksTest-high_school_biology\|5\": {\n \"acc\"\ : 0.7935483870967742,\n \"acc_stderr\": 0.023025899617188716,\n \"\ acc_norm\": 0.7935483870967742,\n \"acc_norm_stderr\": 0.023025899617188716\n\ \ },\n \"harness\|hendrycksTest-high_school_chemistry\|5\": {\n \"acc\"\ : 0.5270935960591133,\n \"acc_stderr\": 0.03512819077876106,\n \"\ acc_norm\": 0.5270935960591133,\n \"acc_norm_stderr\": 0.03512819077876106\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|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-high_school_european_history\|5\"\ : {\n \"acc\": 0.8363636363636363,\n \"acc_stderr\": 0.02888787239548795,\n\ \ \"acc_norm\": 0.8363636363636363,\n \"acc_norm_stderr\": 0.02888787239548795\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.8888888888888888,\n \"acc_stderr\": 0.02239078763821676,\n \"\ acc_norm\": 0.8888888888888888,\n \"acc_norm_stderr\": 0.02239078763821676\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.9378238341968912,\n \"acc_stderr\": 0.01742697415424052,\n\ \ \"acc_norm\": 0.9378238341968912,\n \"acc_norm_stderr\": 0.01742697415424052\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.7333333333333333,\n \"acc_stderr\": 0.022421273612923707,\n\ \ \"acc_norm\": 0.7333333333333333,\n \"acc_norm_stderr\": 0.022421273612923707\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.3592592592592593,\n \"acc_stderr\": 0.029252905927251976,\n \ \ \"acc_norm\": 0.3592592592592593,\n \"acc_norm_stderr\": 0.029252905927251976\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.8025210084033614,\n \"acc_stderr\": 0.025859164122051453,\n\ \ \"acc_norm\": 0.8025210084033614,\n \"acc_norm_stderr\": 0.025859164122051453\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.47019867549668876,\n \"acc_stderr\": 0.040752249922169775,\n \"\ acc_norm\": 0.47019867549668876,\n \"acc_norm_stderr\": 0.040752249922169775\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.8935779816513761,\n \"acc_stderr\": 0.013221554674594372,\n \"\ acc_norm\": 0.8935779816513761,\n \"acc_norm_stderr\": 0.013221554674594372\n\ \ },\n \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\"\ : 0.6064814814814815,\n \"acc_stderr\": 0.03331747876370312,\n \"\ acc_norm\": 0.6064814814814815,\n \"acc_norm_stderr\": 0.03331747876370312\n\ \ },\n \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\"\ : 0.9166666666666666,\n \"acc_stderr\": 0.019398452135813905,\n \"\ acc_norm\": 0.9166666666666666,\n \"acc_norm_stderr\": 0.019398452135813905\n\ \ },\n \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"\ acc\": 0.8607594936708861,\n \"acc_stderr\": 0.022535526352692705,\n \ \ \"acc_norm\": 0.8607594936708861,\n \"acc_norm_stderr\": 0.022535526352692705\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.7668161434977578,\n\ \ \"acc_stderr\": 0.028380391147094713,\n \"acc_norm\": 0.7668161434977578,\n\ \ \"acc_norm_stderr\": 0.028380391147094713\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.8320610687022901,\n \"acc_stderr\": 0.03278548537343138,\n\ \ \"acc_norm\": 0.8320610687022901,\n \"acc_norm_stderr\": 0.03278548537343138\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.8677685950413223,\n \"acc_stderr\": 0.0309227883204458,\n \"acc_norm\"\ : 0.8677685950413223,\n \"acc_norm_stderr\": 0.0309227883204458\n },\n\ \ \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.8425925925925926,\n\ \ \"acc_stderr\": 0.035207039905179635,\n \"acc_norm\": 0.8425925925925926,\n\ \ \"acc_norm_stderr\": 0.035207039905179635\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.8282208588957055,\n \"acc_stderr\": 0.029634717272371037,\n\ \ \"acc_norm\": 0.8282208588957055,\n \"acc_norm_stderr\": 0.029634717272371037\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\": 0.8155339805825242,\n \"acc_stderr\": 0.03840423627288276,\n\ \ \"acc_norm\": 0.8155339805825242,\n \"acc_norm_stderr\": 0.03840423627288276\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.8974358974358975,\n\ \ \"acc_stderr\": 0.019875655027867457,\n \"acc_norm\": 0.8974358974358975,\n\ \ \"acc_norm_stderr\": 0.019875655027867457\n },\n \"harness\|hendrycksTest-medical_genetics\|5\"\ : {\n \"acc\": 0.69,\n \"acc_stderr\": 0.04648231987117316,\n \ \ \"acc_norm\": 0.69,\n \"acc_norm_stderr\": 0.04648231987117316\n \ \ },\n \"harness\|hendrycksTest-miscellaneous\|5\": {\n \"acc\": 0.8531289910600255,\n\ \ \"acc_stderr\": 0.012658201736147288,\n \"acc_norm\": 0.8531289910600255,\n\ \ \"acc_norm_stderr\": 0.012658201736147288\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.7658959537572254,\n \"acc_stderr\": 0.022797110278071124,\n\ \ \"acc_norm\": 0.7658959537572254,\n \"acc_norm_stderr\": 0.022797110278071124\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.511731843575419,\n\ \ \"acc_stderr\": 0.016717897676932162,\n \"acc_norm\": 0.511731843575419,\n\ \ \"acc_norm_stderr\": 0.016717897676932162\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.7843137254901961,\n \"acc_stderr\": 0.02355083135199509,\n\ \ \"acc_norm\": 0.7843137254901961,\n \"acc_norm_stderr\": 0.02355083135199509\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.7620578778135049,\n\ \ \"acc_stderr\": 0.02418515064781871,\n \"acc_norm\": 0.7620578778135049,\n\ \ \"acc_norm_stderr\": 0.02418515064781871\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.8209876543209876,\n \"acc_stderr\": 0.02133086876212706,\n\ \ \"acc_norm\": 0.8209876543209876,\n \"acc_norm_stderr\": 0.02133086876212706\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.574468085106383,\n \"acc_stderr\": 0.02949482760014436,\n \ \ \"acc_norm\": 0.574468085106383,\n \"acc_norm_stderr\": 0.02949482760014436\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.546284224250326,\n\ \ \"acc_stderr\": 0.012715404841277752,\n \"acc_norm\": 0.546284224250326,\n\ \ \"acc_norm_stderr\": 0.012715404841277752\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.75,\n \"acc_stderr\": 0.026303648393696036,\n \ \ \"acc_norm\": 0.75,\n \"acc_norm_stderr\": 0.026303648393696036\n \ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"acc\"\ : 0.7598039215686274,\n \"acc_stderr\": 0.01728276069516741,\n \"\ acc_norm\": 0.7598039215686274,\n \"acc_norm_stderr\": 0.01728276069516741\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.7727272727272727,\n\ \ \"acc_stderr\": 0.04013964554072775,\n \"acc_norm\": 0.7727272727272727,\n\ \ \"acc_norm_stderr\": 0.04013964554072775\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.7673469387755102,\n \"acc_stderr\": 0.027049257915896175,\n\ \ \"acc_norm\": 0.7673469387755102,\n \"acc_norm_stderr\": 0.027049257915896175\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.8756218905472637,\n\ \ \"acc_stderr\": 0.023335401790166327,\n \"acc_norm\": 0.8756218905472637,\n\ \ \"acc_norm_stderr\": 0.023335401790166327\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.88,\n \"acc_stderr\": 0.03265986323710906,\n \ \ \"acc_norm\": 0.88,\n \"acc_norm_stderr\": 0.03265986323710906\n \ \ },\n \"harness\|hendrycksTest-virology\|5\": {\n \"acc\": 0.5120481927710844,\n\ \ \"acc_stderr\": 0.03891364495835817,\n \"acc_norm\": 0.5120481927710844,\n\ \ \"acc_norm_stderr\": 0.03891364495835817\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.8713450292397661,\n \"acc_stderr\": 0.02567934272327691,\n\ \ \"acc_norm\": 0.8713450292397661,\n \"acc_norm_stderr\": 0.02567934272327691\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.4675642594859241,\n\ \ \"mc1_stderr\": 0.017466632149577613,\n \"mc2\": 0.6577655722264159,\n\ \ \"mc2_stderr\": 0.014903281756393213\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.8326756116811366,\n \"acc_stderr\": 0.010490608806828079\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.6262319939347991,\n \ \ \"acc_stderr\": 0.013326342860737007\n }\n}\n```" repo_url: https://huggingface.co/allenai/tulu-2-dpo-70b 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_02T06_48_43.589029 path: - '/details_harness\|arc:challenge\|25_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2024-02-02T06-48-43.589029.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '/details_harness\|gsm8k\|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_02_02T06_48_43.589029 path: - '/details_harness\|hellaswag\|10_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-02-02T06-48-43.589029.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '/details_harness\|hendrycksTest-international_law\|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '/details_harness\|hendrycksTest-management\|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '/details_harness\|hendrycksTest-marketing\|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '/details_harness\|hendrycksTest-sociology\|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '/details_harness\|hendrycksTest-virology\|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_02_02T06_48_43.589029 path: - '/details_harness\|truthfulqa:mc\|0_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2024-02-02T06-48-43.589029.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '/details_harness\|winogrande\|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2024-02-02T06-48-43.589029.parquet' - config_name: results data_files: - split: 2024_02_02T06_48_43.589029 path: - results_2024-02-02T06-48-43.589029.parquet - split: latest path: - results_2024-02-02T06-48-43.589029.parquet --- # Dataset Card for Evaluation run of allenai/tulu-2-dpo-70b <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [allenai/tulu-2-dpo-70b](https://huggingface.co/allenai/tulu-2-dpo-70b) 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_allenai__tulu-2-dpo-70b", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-02-02T06:48:43.589029](https://huggingface.co/datasets/open-llm-leaderboard/details_allenai__tulu-2-dpo-70b/blob/main/results_2024-02-02T06-48-43.589029.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": 0.699296658680991, "acc_stderr": 0.03051571429129605, "acc_norm": 0.7020037559735633, "acc_norm_stderr": 0.031114133505086575, "mc1": 0.4675642594859241, "mc1_stderr": 0.017466632149577613, "mc2": 0.6577655722264159, "mc2_stderr": 0.014903281756393213 }, "harness\|arc:challenge\|25": { "acc": 0.6825938566552902, "acc_stderr": 0.013602239088038167, "acc_norm": 0.7209897610921502, "acc_norm_stderr": 0.01310678488360134 }, "harness\|hellaswag\|10": { "acc": 0.7082254530969926, "acc_stderr": 0.004536500714147989, "acc_norm": 0.8898625771758614, "acc_norm_stderr": 0.0031242116171988606 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness\|hendrycksTest-anatomy\|5": { "acc": 0.6148148148148148, "acc_stderr": 0.04203921040156279, "acc_norm": 0.6148148148148148, "acc_norm_stderr": 0.04203921040156279 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.7828947368421053, "acc_stderr": 0.03355045304882924, "acc_norm": 0.7828947368421053, "acc_norm_stderr": 0.03355045304882924 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.73, "acc_stderr": 0.0446196043338474, "acc_norm": 0.73, "acc_norm_stderr": 0.0446196043338474 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.7509433962264151, "acc_stderr": 0.02661648298050171, "acc_norm": 0.7509433962264151, "acc_norm_stderr": 0.02661648298050171 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.8263888888888888, "acc_stderr": 0.03167473383795718, "acc_norm": 0.8263888888888888, "acc_norm_stderr": 0.03167473383795718 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.51, "acc_stderr": 0.05024183937956911, "acc_norm": 0.51, "acc_norm_stderr": 0.05024183937956911 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.59, "acc_stderr": 0.04943110704237102, "acc_norm": 0.59, "acc_norm_stderr": 0.04943110704237102 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.39, "acc_stderr": 0.049020713000019756, "acc_norm": 0.39, "acc_norm_stderr": 0.049020713000019756 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.7225433526011561, "acc_stderr": 0.03414014007044037, "acc_norm": 0.7225433526011561, "acc_norm_stderr": 0.03414014007044037 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.43137254901960786, "acc_stderr": 0.04928099597287534, "acc_norm": 0.43137254901960786, "acc_norm_stderr": 0.04928099597287534 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.72, "acc_stderr": 0.045126085985421276, "acc_norm": 0.72, "acc_norm_stderr": 0.045126085985421276 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.6978723404255319, "acc_stderr": 0.03001755447188056, "acc_norm": 0.6978723404255319, "acc_norm_stderr": 0.03001755447188056 }, "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": 0.5793103448275863, "acc_stderr": 0.04113914981189261, "acc_norm": 0.5793103448275863, "acc_norm_stderr": 0.04113914981189261 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.455026455026455, "acc_stderr": 0.025646928361049398, "acc_norm": 0.455026455026455, "acc_norm_stderr": 0.025646928361049398 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.48412698412698413, "acc_stderr": 0.04469881854072606, "acc_norm": 0.48412698412698413, "acc_norm_stderr": 0.04469881854072606 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.52, "acc_stderr": 0.050211673156867795, "acc_norm": 0.52, "acc_norm_stderr": 0.050211673156867795 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.7935483870967742, "acc_stderr": 0.023025899617188716, "acc_norm": 0.7935483870967742, "acc_norm_stderr": 0.023025899617188716 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.5270935960591133, "acc_stderr": 0.03512819077876106, "acc_norm": 0.5270935960591133, "acc_norm_stderr": 0.03512819077876106 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.78, "acc_stderr": 0.04163331998932261, "acc_norm": 0.78, "acc_norm_stderr": 0.04163331998932261 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.8363636363636363, "acc_stderr": 0.02888787239548795, "acc_norm": 0.8363636363636363, "acc_norm_stderr": 0.02888787239548795 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.8888888888888888, "acc_stderr": 0.02239078763821676, "acc_norm": 0.8888888888888888, "acc_norm_stderr": 0.02239078763821676 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.9378238341968912, "acc_stderr": 0.01742697415424052, "acc_norm": 0.9378238341968912, "acc_norm_stderr": 0.01742697415424052 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.7333333333333333, "acc_stderr": 0.022421273612923707, "acc_norm": 0.7333333333333333, "acc_norm_stderr": 0.022421273612923707 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.3592592592592593, "acc_stderr": 0.029252905927251976, "acc_norm": 0.3592592592592593, "acc_norm_stderr": 0.029252905927251976 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.8025210084033614, "acc_stderr": 0.025859164122051453, "acc_norm": 0.8025210084033614, "acc_norm_stderr": 0.025859164122051453 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.47019867549668876, "acc_stderr": 0.040752249922169775, "acc_norm": 0.47019867549668876, "acc_norm_stderr": 0.040752249922169775 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.8935779816513761, "acc_stderr": 0.013221554674594372, "acc_norm": 0.8935779816513761, "acc_norm_stderr": 0.013221554674594372 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.6064814814814815, "acc_stderr": 0.03331747876370312, "acc_norm": 0.6064814814814815, "acc_norm_stderr": 0.03331747876370312 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.9166666666666666, "acc_stderr": 0.019398452135813905, "acc_norm": 0.9166666666666666, "acc_norm_stderr": 0.019398452135813905 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.8607594936708861, "acc_stderr": 0.022535526352692705, "acc_norm": 0.8607594936708861, "acc_norm_stderr": 0.022535526352692705 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.7668161434977578, "acc_stderr": 0.028380391147094713, "acc_norm": 0.7668161434977578, "acc_norm_stderr": 0.028380391147094713 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.8320610687022901, "acc_stderr": 0.03278548537343138, "acc_norm": 0.8320610687022901, "acc_norm_stderr": 0.03278548537343138 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.8677685950413223, "acc_stderr": 0.0309227883204458, "acc_norm": 0.8677685950413223, "acc_norm_stderr": 0.0309227883204458 }, "harness\|hendrycksTest-jurisprudence\|5": { "acc": 0.8425925925925926, "acc_stderr": 0.035207039905179635, "acc_norm": 0.8425925925925926, "acc_norm_stderr": 0.035207039905179635 }, "harness\|hendrycksTest-logical_fallacies\|5": { "acc": 0.8282208588957055, "acc_stderr": 0.029634717272371037, "acc_norm": 0.8282208588957055, "acc_norm_stderr": 0.029634717272371037 }, "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": 0.8155339805825242, "acc_stderr": 0.03840423627288276, "acc_norm": 0.8155339805825242, "acc_norm_stderr": 0.03840423627288276 }, "harness\|hendrycksTest-marketing\|5": { "acc": 0.8974358974358975, "acc_stderr": 0.019875655027867457, "acc_norm": 0.8974358974358975, "acc_norm_stderr": 0.019875655027867457 }, "harness\|hendrycksTest-medical_genetics\|5": { "acc": 0.69, "acc_stderr": 0.04648231987117316, "acc_norm": 0.69, "acc_norm_stderr": 0.04648231987117316 }, "harness\|hendrycksTest-miscellaneous\|5": { "acc": 0.8531289910600255, "acc_stderr": 0.012658201736147288, "acc_norm": 0.8531289910600255, "acc_norm_stderr": 0.012658201736147288 }, "harness\|hendrycksTest-moral_disputes\|5": { "acc": 0.7658959537572254, "acc_stderr": 0.022797110278071124, "acc_norm": 0.7658959537572254, "acc_norm_stderr": 0.022797110278071124 }, "harness\|hendrycksTest-moral_scenarios\|5": { "acc": 0.511731843575419, "acc_stderr": 0.016717897676932162, "acc_norm": 0.511731843575419, "acc_norm_stderr": 0.016717897676932162 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.7843137254901961, "acc_stderr": 0.02355083135199509, "acc_norm": 0.7843137254901961, "acc_norm_stderr": 0.02355083135199509 }, "harness\|hendrycksTest-philosophy\|5": { "acc": 0.7620578778135049, "acc_stderr": 0.02418515064781871, "acc_norm": 0.7620578778135049, "acc_norm_stderr": 0.02418515064781871 }, "harness\|hendrycksTest-prehistory\|5": { "acc": 0.8209876543209876, "acc_stderr": 0.02133086876212706, "acc_norm": 0.8209876543209876, "acc_norm_stderr": 0.02133086876212706 }, "harness\|hendrycksTest-professional_accounting\|5": { "acc": 0.574468085106383, "acc_stderr": 0.02949482760014436, "acc_norm": 0.574468085106383, "acc_norm_stderr": 0.02949482760014436 }, "harness\|hendrycksTest-professional_law\|5": { "acc": 0.546284224250326, "acc_stderr": 0.012715404841277752, "acc_norm": 0.546284224250326, "acc_norm_stderr": 0.012715404841277752 }, "harness\|hendrycksTest-professional_medicine\|5": { "acc": 0.75, "acc_stderr": 0.026303648393696036, "acc_norm": 0.75, "acc_norm_stderr": 0.026303648393696036 }, "harness\|hendrycksTest-professional_psychology\|5": { "acc": 0.7598039215686274, "acc_stderr": 0.01728276069516741, "acc_norm": 0.7598039215686274, "acc_norm_stderr": 0.01728276069516741 }, "harness\|hendrycksTest-public_relations\|5": { "acc": 0.7727272727272727, "acc_stderr": 0.04013964554072775, "acc_norm": 0.7727272727272727, "acc_norm_stderr": 0.04013964554072775 }, "harness\|hendrycksTest-security_studies\|5": { "acc": 0.7673469387755102, "acc_stderr": 0.027049257915896175, "acc_norm": 0.7673469387755102, "acc_norm_stderr": 0.027049257915896175 }, "harness\|hendrycksTest-sociology\|5": { "acc": 0.8756218905472637, "acc_stderr": 0.023335401790166327, "acc_norm": 0.8756218905472637, "acc_norm_stderr": 0.023335401790166327 }, "harness\|hendrycksTest-us_foreign_policy\|5": { "acc": 0.88, "acc_stderr": 0.03265986323710906, "acc_norm": 0.88, "acc_norm_stderr": 0.03265986323710906 }, "harness\|hendrycksTest-virology\|5": { "acc": 0.5120481927710844, "acc_stderr": 0.03891364495835817, "acc_norm": 0.5120481927710844, "acc_norm_stderr": 0.03891364495835817 }, "harness\|hendrycksTest-world_religions\|5": { "acc": 0.8713450292397661, "acc_stderr": 0.02567934272327691, "acc_norm": 0.8713450292397661, "acc_norm_stderr": 0.02567934272327691 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.4675642594859241, "mc1_stderr": 0.017466632149577613, "mc2": 0.6577655722264159, "mc2_stderr": 0.014903281756393213 }, "harness\|winogrande\|5": { "acc": 0.8326756116811366, "acc_stderr": 0.010490608806828079 }, "harness\|gsm8k\|5": { "acc": 0.6262319939347991, "acc_stderr": 0.013326342860737007 } } ``` ## 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]
tollefj/massive-en-no-shorter-transfer	--- dataset_info: features: - name: en dtype: string - name: 'no' dtype: string splits: - name: train num_bytes: 44628652 num_examples: 758144 download_size: 33446436 dataset_size: 44628652 configs: - config_name: default data_files: - split: train path: data/train-* license: cc task_categories: - translation - summarization language: - 'no' - nb - en pretty_name: Massive EN-NO shorter transfer size_categories: - 100K<n<1M --- # Massive EN-NO shorter and similar transfer A dataset of EN-NO translations comprised of the following sources: - https://huggingface.co/datasets/opus100 - https://huggingface.co/datasets/opus_books - https://huggingface.co/datasets/open_subtitles (https://huggingface.co/datasets/tollefj/subtitles-en-no-similar-shorter) - https://huggingface.co/datasets/RuterNorway/Fleurs-Alpaca-EN-NO And parsed by: - simple preprocessing: stripping/misplaced punctuation - computing all similarities with https://huggingface.co/NbAiLab/nb-sbert-base - effectively aligning the translations - filters out where the length of the target language (norwegian) is less than 70% the length of the source language (english) - items with less than 6 words are passed regardless of length constraints this results in a shorter and similar translation corpus.
EleutherAI/quirky_subtraction_increment0_bob	--- configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* - split: test path: data/test-* dataset_info: features: - name: alice_label dtype: bool - name: bob_label dtype: bool - name: difficulty dtype: int64 - name: statement dtype: string - name: choices sequence: string - name: character dtype: string - name: label dtype: bool splits: - name: train num_bytes: 12663979.0 num_examples: 192000 - name: validation num_bytes: 263906.0 num_examples: 4000 - name: test num_bytes: 263762.0 num_examples: 4000 download_size: 4073079 dataset_size: 13191647.0 --- # Dataset Card for "quirky_subtraction_increment0_bob" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Gbssreejith/Sm_Type1_dataset_finetuned1	--- dataset_info: features: - name: image dtype: image - name: ground_truth dtype: string splits: - name: train num_bytes: 45846795.0 num_examples: 200 - name: test num_bytes: 3594005.0 num_examples: 16 - name: val num_bytes: 1643626.0 num_examples: 7 download_size: 48645908 dataset_size: 51084426.0 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* - split: val path: data/val-* ---
pytc/BvEM	--- license: mit ---
tcsenpai/aggregated_captcha_images_and_text	--- license: cc-by-nc-4.0 --- # Aggregated Captcha Images and Text ## Credits All the images (not the texts) here contained have been downloaded and selected from various datasets on kaggle.com ### What is this? This is a dataset containing some hundreds of thousands of images taken from real and used captchas (reCaptcha, hCaptcha and various others) and containing an equally big amount of random 4-8 length texts generated each one in 363 different fonts and with different random noise, size, colors and scratches on them. While the texts part might result difficult to recognize from the models you could train, the images quantity allows the model to offer a significant possibility of recognization of captcha images. ### Disclaimer This dataset is NOT intended to break any ToS of any website or to execute malicious, illegal or unethical actions. This dataset is distributed with a purely informative and educative finality, namely the study of the weakness or strength of the current protection systems. You will for example notice how puzzle based captchas are highly resistant to this kind of analysis.
mesmalif/amazon-shoe-reviews	--- dataset_info: features: - name: marketplace dtype: string - name: customer_id dtype: string - name: review_id dtype: string - name: product_id dtype: string - name: product_parent dtype: string - name: product_title dtype: string - name: product_category dtype: string - name: labels dtype: int64 - name: helpful_votes dtype: int64 - name: total_votes dtype: int64 - name: vine dtype: int64 - name: verified_purchase dtype: int64 - name: review_headline dtype: string - name: text dtype: string - name: review_date dtype: string splits: - name: train num_bytes: 34784832.6 num_examples: 90000 - name: test num_bytes: 3864981.4 num_examples: 10000 download_size: 21283157 dataset_size: 38649814.0 --- # Dataset Card for "amazon-shoe-reviews" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tnewaz/kd	--- license: unknown ---
open-llm-leaderboard/details_paulml__OmniBeagleSquaredMBX-v3-7B-v2	--- pretty_name: Evaluation run of paulml/OmniBeagleSquaredMBX-v3-7B-v2 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [paulml/OmniBeagleSquaredMBX-v3-7B-v2](https://huggingface.co/paulml/OmniBeagleSquaredMBX-v3-7B-v2)\ \ 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_paulml__OmniBeagleSquaredMBX-v3-7B-v2\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-02-10T03:04:32.503339](https://huggingface.co/datasets/open-llm-leaderboard/details_paulml__OmniBeagleSquaredMBX-v3-7B-v2/blob/main/results_2024-02-10T03-04-32.503339.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\": 0.6520313155539911,\n\ \ \"acc_stderr\": 0.032055304264286724,\n \"acc_norm\": 0.6510392594733034,\n\ \ \"acc_norm_stderr\": 0.03273146844780618,\n \"mc1\": 0.591187270501836,\n\ \ \"mc1_stderr\": 0.017209952151641724,\n \"mc2\": 0.7292550145611886,\n\ \ \"mc2_stderr\": 0.014624521700190086\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.7167235494880546,\n \"acc_stderr\": 0.013167478735134575,\n\ \ \"acc_norm\": 0.7406143344709898,\n \"acc_norm_stderr\": 0.012808273573927106\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.7211710814578769,\n\ \ \"acc_stderr\": 0.004475067344626756,\n \"acc_norm\": 0.8892650866361282,\n\ \ \"acc_norm_stderr\": 0.003131622628199085\n },\n \"harness\|hendrycksTest-abstract_algebra\|5\"\ : {\n \"acc\": 0.34,\n \"acc_stderr\": 0.04760952285695235,\n \ \ \"acc_norm\": 0.34,\n \"acc_norm_stderr\": 0.04760952285695235\n \ \ },\n \"harness\|hendrycksTest-anatomy\|5\": {\n \"acc\": 0.6592592592592592,\n\ \ \"acc_stderr\": 0.040943762699967926,\n \"acc_norm\": 0.6592592592592592,\n\ \ \"acc_norm_stderr\": 0.040943762699967926\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.7236842105263158,\n \"acc_stderr\": 0.03639057569952928,\n\ \ \"acc_norm\": 0.7236842105263158,\n \"acc_norm_stderr\": 0.03639057569952928\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\": 0.7056603773584905,\n \"acc_stderr\": 0.028049186315695255,\n\ \ \"acc_norm\": 0.7056603773584905,\n \"acc_norm_stderr\": 0.028049186315695255\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.7638888888888888,\n\ \ \"acc_stderr\": 0.03551446610810826,\n \"acc_norm\": 0.7638888888888888,\n\ \ \"acc_norm_stderr\": 0.03551446610810826\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\"\ : 0.52,\n \"acc_stderr\": 0.050211673156867795,\n \"acc_norm\": 0.52,\n\ \ \"acc_norm_stderr\": 0.050211673156867795\n },\n \"harness\|hendrycksTest-college_mathematics\|5\"\ : {\n \"acc\": 0.29,\n \"acc_stderr\": 0.04560480215720684,\n \ \ \"acc_norm\": 0.29,\n \"acc_norm_stderr\": 0.04560480215720684\n \ \ },\n \"harness\|hendrycksTest-college_medicine\|5\": {\n \"acc\": 0.653179190751445,\n\ \ \"acc_stderr\": 0.036291466701596636,\n \"acc_norm\": 0.653179190751445,\n\ \ \"acc_norm_stderr\": 0.036291466701596636\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\": 0.5574468085106383,\n \"acc_stderr\": 0.03246956919789958,\n\ \ \"acc_norm\": 0.5574468085106383,\n \"acc_norm_stderr\": 0.03246956919789958\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.4649122807017544,\n\ \ \"acc_stderr\": 0.04692008381368909,\n \"acc_norm\": 0.4649122807017544,\n\ \ \"acc_norm_stderr\": 0.04692008381368909\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.5241379310344828,\n \"acc_stderr\": 0.0416180850350153,\n\ \ \"acc_norm\": 0.5241379310344828,\n \"acc_norm_stderr\": 0.0416180850350153\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.40476190476190477,\n \"acc_stderr\": 0.025279850397404904,\n \"\ acc_norm\": 0.40476190476190477,\n \"acc_norm_stderr\": 0.025279850397404904\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.49206349206349204,\n\ \ \"acc_stderr\": 0.044715725362943486,\n \"acc_norm\": 0.49206349206349204,\n\ \ \"acc_norm_stderr\": 0.044715725362943486\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\": 0.7903225806451613,\n\ \ \"acc_stderr\": 0.023157879349083525,\n \"acc_norm\": 0.7903225806451613,\n\ \ \"acc_norm_stderr\": 0.023157879349083525\n },\n \"harness\|hendrycksTest-high_school_chemistry\|5\"\ : {\n \"acc\": 0.5123152709359606,\n \"acc_stderr\": 0.035169204442208966,\n\ \ \"acc_norm\": 0.5123152709359606,\n \"acc_norm_stderr\": 0.035169204442208966\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|5\": {\n \ \ \"acc\": 0.71,\n \"acc_stderr\": 0.045604802157206845,\n \"acc_norm\"\ : 0.71,\n \"acc_norm_stderr\": 0.045604802157206845\n },\n \"harness\|hendrycksTest-high_school_european_history\|5\"\ : {\n \"acc\": 0.7818181818181819,\n \"acc_stderr\": 0.03225078108306289,\n\ \ \"acc_norm\": 0.7818181818181819,\n \"acc_norm_stderr\": 0.03225078108306289\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.8080808080808081,\n \"acc_stderr\": 0.028057791672989017,\n \"\ acc_norm\": 0.8080808080808081,\n \"acc_norm_stderr\": 0.028057791672989017\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.9119170984455959,\n \"acc_stderr\": 0.02045374660160103,\n\ \ \"acc_norm\": 0.9119170984455959,\n \"acc_norm_stderr\": 0.02045374660160103\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.6666666666666666,\n \"acc_stderr\": 0.023901157979402538,\n\ \ \"acc_norm\": 0.6666666666666666,\n \"acc_norm_stderr\": 0.023901157979402538\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.32592592592592595,\n \"acc_stderr\": 0.028578348365473086,\n \ \ \"acc_norm\": 0.32592592592592595,\n \"acc_norm_stderr\": 0.028578348365473086\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.6764705882352942,\n \"acc_stderr\": 0.030388353551886793,\n\ \ \"acc_norm\": 0.6764705882352942,\n \"acc_norm_stderr\": 0.030388353551886793\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.37748344370860926,\n \"acc_stderr\": 0.03958027231121569,\n \"\ acc_norm\": 0.37748344370860926,\n \"acc_norm_stderr\": 0.03958027231121569\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.8495412844036697,\n \"acc_stderr\": 0.015328563932669237,\n \"\ acc_norm\": 0.8495412844036697,\n \"acc_norm_stderr\": 0.015328563932669237\n\ \ },\n \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\"\ : 0.5092592592592593,\n \"acc_stderr\": 0.034093869469927006,\n \"\ acc_norm\": 0.5092592592592593,\n \"acc_norm_stderr\": 0.034093869469927006\n\ \ },\n \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\"\ : 0.8333333333333334,\n \"acc_stderr\": 0.026156867523931045,\n \"\ acc_norm\": 0.8333333333333334,\n \"acc_norm_stderr\": 0.026156867523931045\n\ \ },\n \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"\ acc\": 0.8016877637130801,\n \"acc_stderr\": 0.025955020841621126,\n \ \ \"acc_norm\": 0.8016877637130801,\n \"acc_norm_stderr\": 0.025955020841621126\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.6860986547085202,\n\ \ \"acc_stderr\": 0.031146796482972465,\n \"acc_norm\": 0.6860986547085202,\n\ \ \"acc_norm_stderr\": 0.031146796482972465\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.8015267175572519,\n \"acc_stderr\": 0.03498149385462472,\n\ \ \"acc_norm\": 0.8015267175572519,\n \"acc_norm_stderr\": 0.03498149385462472\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.7851239669421488,\n \"acc_stderr\": 0.037494924487096966,\n \"\ acc_norm\": 0.7851239669421488,\n \"acc_norm_stderr\": 0.037494924487096966\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\": 0.4375,\n\ \ \"acc_stderr\": 0.04708567521880525,\n \"acc_norm\": 0.4375,\n \ \ \"acc_norm_stderr\": 0.04708567521880525\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.7864077669902912,\n \"acc_stderr\": 0.040580420156460344,\n\ \ \"acc_norm\": 0.7864077669902912,\n \"acc_norm_stderr\": 0.040580420156460344\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.8888888888888888,\n\ \ \"acc_stderr\": 0.020588491316092368,\n \"acc_norm\": 0.8888888888888888,\n\ \ \"acc_norm_stderr\": 0.020588491316092368\n },\n \"harness\|hendrycksTest-medical_genetics\|5\"\ : {\n \"acc\": 0.69,\n \"acc_stderr\": 0.04648231987117316,\n \ \ \"acc_norm\": 0.69,\n \"acc_norm_stderr\": 0.04648231987117316\n \ \ },\n \"harness\|hendrycksTest-miscellaneous\|5\": {\n \"acc\": 0.822477650063857,\n\ \ \"acc_stderr\": 0.013664230995834841,\n \"acc_norm\": 0.822477650063857,\n\ \ \"acc_norm_stderr\": 0.013664230995834841\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.7456647398843931,\n \"acc_stderr\": 0.023445826276545543,\n\ \ \"acc_norm\": 0.7456647398843931,\n \"acc_norm_stderr\": 0.023445826276545543\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.42793296089385474,\n\ \ \"acc_stderr\": 0.01654788799741611,\n \"acc_norm\": 0.42793296089385474,\n\ \ \"acc_norm_stderr\": 0.01654788799741611\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.7352941176470589,\n \"acc_stderr\": 0.025261691219729484,\n\ \ \"acc_norm\": 0.7352941176470589,\n \"acc_norm_stderr\": 0.025261691219729484\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.7041800643086816,\n\ \ \"acc_stderr\": 0.025922371788818763,\n \"acc_norm\": 0.7041800643086816,\n\ \ \"acc_norm_stderr\": 0.025922371788818763\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.7407407407407407,\n \"acc_stderr\": 0.024383665531035457,\n\ \ \"acc_norm\": 0.7407407407407407,\n \"acc_norm_stderr\": 0.024383665531035457\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\": 0.4706649282920469,\n\ \ \"acc_stderr\": 0.012748238397365549,\n \"acc_norm\": 0.4706649282920469,\n\ \ \"acc_norm_stderr\": 0.012748238397365549\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.6691176470588235,\n \"acc_stderr\": 0.02858270975389845,\n\ \ \"acc_norm\": 0.6691176470588235,\n \"acc_norm_stderr\": 0.02858270975389845\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.6715686274509803,\n \"acc_stderr\": 0.018999707383162673,\n \ \ \"acc_norm\": 0.6715686274509803,\n \"acc_norm_stderr\": 0.018999707383162673\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.6636363636363637,\n\ \ \"acc_stderr\": 0.04525393596302506,\n \"acc_norm\": 0.6636363636363637,\n\ \ \"acc_norm_stderr\": 0.04525393596302506\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.726530612244898,\n \"acc_stderr\": 0.028535560337128448,\n\ \ \"acc_norm\": 0.726530612244898,\n \"acc_norm_stderr\": 0.028535560337128448\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.8407960199004975,\n\ \ \"acc_stderr\": 0.025870646766169146,\n \"acc_norm\": 0.8407960199004975,\n\ \ \"acc_norm_stderr\": 0.025870646766169146\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.84,\n \"acc_stderr\": 0.03684529491774709,\n \ \ \"acc_norm\": 0.84,\n \"acc_norm_stderr\": 0.03684529491774709\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\": 0.8187134502923976,\n \"acc_stderr\": 0.029547741687640044,\n\ \ \"acc_norm\": 0.8187134502923976,\n \"acc_norm_stderr\": 0.029547741687640044\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.591187270501836,\n\ \ \"mc1_stderr\": 0.017209952151641724,\n \"mc2\": 0.7292550145611886,\n\ \ \"mc2_stderr\": 0.014624521700190086\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.8555643251775849,\n \"acc_stderr\": 0.009879767358079229\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.6990144048521607,\n \ \ \"acc_stderr\": 0.01263450446521118\n }\n}\n```" repo_url: https://huggingface.co/paulml/OmniBeagleSquaredMBX-v3-7B-v2 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_10T03_04_32.503339 path: - '/details_harness\|arc:challenge\|25_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2024-02-10T03-04-32.503339.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '/details_harness\|gsm8k\|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_02_10T03_04_32.503339 path: - '/details_harness\|hellaswag\|10_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-02-10T03-04-32.503339.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '/details_harness\|hendrycksTest-international_law\|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '/details_harness\|hendrycksTest-management\|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '/details_harness\|hendrycksTest-marketing\|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '/details_harness\|hendrycksTest-sociology\|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '/details_harness\|hendrycksTest-virology\|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_02_10T03_04_32.503339 path: - '/details_harness\|truthfulqa:mc\|0_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2024-02-10T03-04-32.503339.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '/details_harness\|winogrande\|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2024-02-10T03-04-32.503339.parquet' - config_name: results data_files: - split: 2024_02_10T03_04_32.503339 path: - results_2024-02-10T03-04-32.503339.parquet - split: latest path: - results_2024-02-10T03-04-32.503339.parquet --- # Dataset Card for Evaluation run of paulml/OmniBeagleSquaredMBX-v3-7B-v2 <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [paulml/OmniBeagleSquaredMBX-v3-7B-v2](https://huggingface.co/paulml/OmniBeagleSquaredMBX-v3-7B-v2) 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_paulml__OmniBeagleSquaredMBX-v3-7B-v2", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-02-10T03:04:32.503339](https://huggingface.co/datasets/open-llm-leaderboard/details_paulml__OmniBeagleSquaredMBX-v3-7B-v2/blob/main/results_2024-02-10T03-04-32.503339.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": 0.6520313155539911, "acc_stderr": 0.032055304264286724, "acc_norm": 0.6510392594733034, "acc_norm_stderr": 0.03273146844780618, "mc1": 0.591187270501836, "mc1_stderr": 0.017209952151641724, "mc2": 0.7292550145611886, "mc2_stderr": 0.014624521700190086 }, "harness\|arc:challenge\|25": { "acc": 0.7167235494880546, "acc_stderr": 0.013167478735134575, "acc_norm": 0.7406143344709898, "acc_norm_stderr": 0.012808273573927106 }, "harness\|hellaswag\|10": { "acc": 0.7211710814578769, "acc_stderr": 0.004475067344626756, "acc_norm": 0.8892650866361282, "acc_norm_stderr": 0.003131622628199085 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.34, "acc_stderr": 0.04760952285695235, "acc_norm": 0.34, "acc_norm_stderr": 0.04760952285695235 }, "harness\|hendrycksTest-anatomy\|5": { "acc": 0.6592592592592592, "acc_stderr": 0.040943762699967926, "acc_norm": 0.6592592592592592, "acc_norm_stderr": 0.040943762699967926 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.7236842105263158, "acc_stderr": 0.03639057569952928, "acc_norm": 0.7236842105263158, "acc_norm_stderr": 0.03639057569952928 }, "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": 0.7056603773584905, "acc_stderr": 0.028049186315695255, "acc_norm": 0.7056603773584905, "acc_norm_stderr": 0.028049186315695255 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.7638888888888888, "acc_stderr": 0.03551446610810826, "acc_norm": 0.7638888888888888, "acc_norm_stderr": 0.03551446610810826 }, "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": 0.52, "acc_stderr": 0.050211673156867795, "acc_norm": 0.52, "acc_norm_stderr": 0.050211673156867795 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.29, "acc_stderr": 0.04560480215720684, "acc_norm": 0.29, "acc_norm_stderr": 0.04560480215720684 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.653179190751445, "acc_stderr": 0.036291466701596636, "acc_norm": 0.653179190751445, "acc_norm_stderr": 0.036291466701596636 }, "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": 0.5574468085106383, "acc_stderr": 0.03246956919789958, "acc_norm": 0.5574468085106383, "acc_norm_stderr": 0.03246956919789958 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.4649122807017544, "acc_stderr": 0.04692008381368909, "acc_norm": 0.4649122807017544, "acc_norm_stderr": 0.04692008381368909 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.5241379310344828, "acc_stderr": 0.0416180850350153, "acc_norm": 0.5241379310344828, "acc_norm_stderr": 0.0416180850350153 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.40476190476190477, "acc_stderr": 0.025279850397404904, "acc_norm": 0.40476190476190477, "acc_norm_stderr": 0.025279850397404904 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.49206349206349204, "acc_stderr": 0.044715725362943486, "acc_norm": 0.49206349206349204, "acc_norm_stderr": 0.044715725362943486 }, "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": 0.7903225806451613, "acc_stderr": 0.023157879349083525, "acc_norm": 0.7903225806451613, "acc_norm_stderr": 0.023157879349083525 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.5123152709359606, "acc_stderr": 0.035169204442208966, "acc_norm": 0.5123152709359606, "acc_norm_stderr": 0.035169204442208966 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.71, "acc_stderr": 0.045604802157206845, "acc_norm": 0.71, "acc_norm_stderr": 0.045604802157206845 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.7818181818181819, "acc_stderr": 0.03225078108306289, "acc_norm": 0.7818181818181819, "acc_norm_stderr": 0.03225078108306289 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.8080808080808081, "acc_stderr": 0.028057791672989017, "acc_norm": 0.8080808080808081, "acc_norm_stderr": 0.028057791672989017 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.9119170984455959, "acc_stderr": 0.02045374660160103, "acc_norm": 0.9119170984455959, "acc_norm_stderr": 0.02045374660160103 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.6666666666666666, "acc_stderr": 0.023901157979402538, "acc_norm": 0.6666666666666666, "acc_norm_stderr": 0.023901157979402538 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.32592592592592595, "acc_stderr": 0.028578348365473086, "acc_norm": 0.32592592592592595, "acc_norm_stderr": 0.028578348365473086 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.6764705882352942, "acc_stderr": 0.030388353551886793, "acc_norm": 0.6764705882352942, "acc_norm_stderr": 0.030388353551886793 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.37748344370860926, "acc_stderr": 0.03958027231121569, "acc_norm": 0.37748344370860926, "acc_norm_stderr": 0.03958027231121569 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.8495412844036697, "acc_stderr": 0.015328563932669237, "acc_norm": 0.8495412844036697, "acc_norm_stderr": 0.015328563932669237 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.5092592592592593, "acc_stderr": 0.034093869469927006, "acc_norm": 0.5092592592592593, "acc_norm_stderr": 0.034093869469927006 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.8333333333333334, "acc_stderr": 0.026156867523931045, "acc_norm": 0.8333333333333334, "acc_norm_stderr": 0.026156867523931045 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.8016877637130801, "acc_stderr": 0.025955020841621126, "acc_norm": 0.8016877637130801, "acc_norm_stderr": 0.025955020841621126 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.6860986547085202, "acc_stderr": 0.031146796482972465, "acc_norm": 0.6860986547085202, "acc_norm_stderr": 0.031146796482972465 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.8015267175572519, "acc_stderr": 0.03498149385462472, "acc_norm": 0.8015267175572519, "acc_norm_stderr": 0.03498149385462472 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.7851239669421488, "acc_stderr": 0.037494924487096966, "acc_norm": 0.7851239669421488, "acc_norm_stderr": 0.037494924487096966 }, "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": 0.4375, "acc_stderr": 0.04708567521880525, "acc_norm": 0.4375, "acc_norm_stderr": 0.04708567521880525 }, "harness\|hendrycksTest-management\|5": { "acc": 0.7864077669902912, "acc_stderr": 0.040580420156460344, "acc_norm": 0.7864077669902912, "acc_norm_stderr": 0.040580420156460344 }, "harness\|hendrycksTest-marketing\|5": { "acc": 0.8888888888888888, "acc_stderr": 0.020588491316092368, "acc_norm": 0.8888888888888888, "acc_norm_stderr": 0.020588491316092368 }, "harness\|hendrycksTest-medical_genetics\|5": { "acc": 0.69, "acc_stderr": 0.04648231987117316, "acc_norm": 0.69, "acc_norm_stderr": 0.04648231987117316 }, "harness\|hendrycksTest-miscellaneous\|5": { "acc": 0.822477650063857, "acc_stderr": 0.013664230995834841, "acc_norm": 0.822477650063857, "acc_norm_stderr": 0.013664230995834841 }, "harness\|hendrycksTest-moral_disputes\|5": { "acc": 0.7456647398843931, "acc_stderr": 0.023445826276545543, "acc_norm": 0.7456647398843931, "acc_norm_stderr": 0.023445826276545543 }, "harness\|hendrycksTest-moral_scenarios\|5": { "acc": 0.42793296089385474, "acc_stderr": 0.01654788799741611, "acc_norm": 0.42793296089385474, "acc_norm_stderr": 0.01654788799741611 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.7352941176470589, "acc_stderr": 0.025261691219729484, "acc_norm": 0.7352941176470589, "acc_norm_stderr": 0.025261691219729484 }, "harness\|hendrycksTest-philosophy\|5": { "acc": 0.7041800643086816, "acc_stderr": 0.025922371788818763, "acc_norm": 0.7041800643086816, "acc_norm_stderr": 0.025922371788818763 }, "harness\|hendrycksTest-prehistory\|5": { "acc": 0.7407407407407407, "acc_stderr": 0.024383665531035457, "acc_norm": 0.7407407407407407, "acc_norm_stderr": 0.024383665531035457 }, "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": 0.4706649282920469, "acc_stderr": 0.012748238397365549, "acc_norm": 0.4706649282920469, "acc_norm_stderr": 0.012748238397365549 }, "harness\|hendrycksTest-professional_medicine\|5": { "acc": 0.6691176470588235, "acc_stderr": 0.02858270975389845, "acc_norm": 0.6691176470588235, "acc_norm_stderr": 0.02858270975389845 }, "harness\|hendrycksTest-professional_psychology\|5": { "acc": 0.6715686274509803, "acc_stderr": 0.018999707383162673, "acc_norm": 0.6715686274509803, "acc_norm_stderr": 0.018999707383162673 }, "harness\|hendrycksTest-public_relations\|5": { "acc": 0.6636363636363637, "acc_stderr": 0.04525393596302506, "acc_norm": 0.6636363636363637, "acc_norm_stderr": 0.04525393596302506 }, "harness\|hendrycksTest-security_studies\|5": { "acc": 0.726530612244898, "acc_stderr": 0.028535560337128448, "acc_norm": 0.726530612244898, "acc_norm_stderr": 0.028535560337128448 }, "harness\|hendrycksTest-sociology\|5": { "acc": 0.8407960199004975, "acc_stderr": 0.025870646766169146, "acc_norm": 0.8407960199004975, "acc_norm_stderr": 0.025870646766169146 }, "harness\|hendrycksTest-us_foreign_policy\|5": { "acc": 0.84, "acc_stderr": 0.03684529491774709, "acc_norm": 0.84, "acc_norm_stderr": 0.03684529491774709 }, "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": 0.8187134502923976, "acc_stderr": 0.029547741687640044, "acc_norm": 0.8187134502923976, "acc_norm_stderr": 0.029547741687640044 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.591187270501836, "mc1_stderr": 0.017209952151641724, "mc2": 0.7292550145611886, "mc2_stderr": 0.014624521700190086 }, "harness\|winogrande\|5": { "acc": 0.8555643251775849, "acc_stderr": 0.009879767358079229 }, "harness\|gsm8k\|5": { "acc": 0.6990144048521607, "acc_stderr": 0.01263450446521118 } } ``` ## 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]
AdapterOcean/GPTeacher_roleplay_standardized_cluster_2_alpaca	--- dataset_info: features: - name: input dtype: string - name: output dtype: string splits: - name: train num_bytes: 422818 num_examples: 537 download_size: 246747 dataset_size: 422818 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "GPTeacher_roleplay_standardized_cluster_2_alpaca" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
kweimann/poe-learning-layouts	--- license: mit --- # Learning layouts in Path of Exile with Vision Transformers: A proof of concept <video controls autoplay src="https://cdn-uploads.huggingface.co/production/uploads/650c55bc9169ea73315b6c22/RJ-rTPWwOFUZlA3ydqhZ2.mp4"></video> Where's the exit? This question often crosses the minds of both newcomers and seasoned players alike. The key lies in understanding the game's layouts, especially during the campaign when taking a wrong turn can significantly slow you down. Our project aims to solve this challenge through machine learning. We've developed a proof-of-concept for learning layouts in Path of Exile using Vision Transformers. We trained a Vision Transformer to predict the direction of the exit in the A3 Marketplace, relying solely on a video of the minimap. You can see the model in action in the video above: the red arrow indicates the predicted exit direction, while the green arrow shows the actual direction. Project page: https://github.com/kweimann/poe-learning-layouts
ibranze/araproje_mmlu_en_w1	--- dataset_info: features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D splits: - name: validation num_bytes: 132093.13725490196 num_examples: 250 download_size: 0 dataset_size: 132093.13725490196 configs: - config_name: default data_files: - split: validation path: data/validation-* --- # Dataset Card for "araproje_mmlu_en_w1" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
KHM-hf/myDataset	--- license: apache-2.0 ---
open-llm-leaderboard/details_TheBloke__Airoboros-L2-70B-2.1-GPTQ	--- pretty_name: Evaluation run of TheBloke/Airoboros-L2-70B-2.1-GPTQ dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [TheBloke/Airoboros-L2-70B-2.1-GPTQ](https://huggingface.co/TheBloke/Airoboros-L2-70B-2.1-GPTQ)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 3 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_TheBloke__Airoboros-L2-70B-2.1-GPTQ_public\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-11-08T02:26:46.433766](https://huggingface.co/datasets/open-llm-leaderboard/details_TheBloke__Airoboros-L2-70B-2.1-GPTQ_public/blob/main/results_2023-11-08T02-26-46.433766.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\": 0.4241820469798658,\n\ \ \"em_stderr\": 0.0050612570385902955,\n \"f1\": 0.5410476090604083,\n\ \ \"f1_stderr\": 0.004613044422574753,\n \"acc\": 0.48424459945200166,\n\ \ \"acc_stderr\": 0.010393744134050047\n },\n \"harness\|drop\|3\": {\n\ \ \"em\": 0.4241820469798658,\n \"em_stderr\": 0.0050612570385902955,\n\ \ \"f1\": 0.5410476090604083,\n \"f1_stderr\": 0.004613044422574753\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.15238817285822592,\n \ \ \"acc_stderr\": 0.009899572254794198\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.8161010260457774,\n \"acc_stderr\": 0.010887916013305896\n\ \ }\n}\n```" repo_url: https://huggingface.co/TheBloke/Airoboros-L2-70B-2.1-GPTQ leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: clementine@hf.co configs: - config_name: harness_drop_3 data_files: - split: 2023_11_08T02_26_46.433766 path: - '/details_harness\|drop\|3_2023-11-08T02-26-46.433766.parquet' - split: latest path: - '/details_harness\|drop\|3_2023-11-08T02-26-46.433766.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_11_08T02_26_46.433766 path: - '/details_harness\|gsm8k\|5_2023-11-08T02-26-46.433766.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-11-08T02-26-46.433766.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_11_08T02_26_46.433766 path: - '/details_harness\|winogrande\|5_2023-11-08T02-26-46.433766.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-11-08T02-26-46.433766.parquet' - config_name: results data_files: - split: 2023_11_08T02_26_46.433766 path: - results_2023-11-08T02-26-46.433766.parquet - split: latest path: - results_2023-11-08T02-26-46.433766.parquet --- # Dataset Card for Evaluation run of TheBloke/Airoboros-L2-70B-2.1-GPTQ ## Dataset Description - Homepage: - Repository: https://huggingface.co/TheBloke/Airoboros-L2-70B-2.1-GPTQ - 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/Airoboros-L2-70B-2.1-GPTQ](https://huggingface.co/TheBloke/Airoboros-L2-70B-2.1-GPTQ) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 3 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_TheBloke__Airoboros-L2-70B-2.1-GPTQ_public", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-11-08T02:26:46.433766](https://huggingface.co/datasets/open-llm-leaderboard/details_TheBloke__Airoboros-L2-70B-2.1-GPTQ_public/blob/main/results_2023-11-08T02-26-46.433766.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": 0.4241820469798658, "em_stderr": 0.0050612570385902955, "f1": 0.5410476090604083, "f1_stderr": 0.004613044422574753, "acc": 0.48424459945200166, "acc_stderr": 0.010393744134050047 }, "harness\|drop\|3": { "em": 0.4241820469798658, "em_stderr": 0.0050612570385902955, "f1": 0.5410476090604083, "f1_stderr": 0.004613044422574753 }, "harness\|gsm8k\|5": { "acc": 0.15238817285822592, "acc_stderr": 0.009899572254794198 }, "harness\|winogrande\|5": { "acc": 0.8161010260457774, "acc_stderr": 0.010887916013305896 } } ``` ### 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]
orafandina/wiki_long_600k	--- license: apache-2.0 ---
yirenlu/heroicons-captions	--- dataset_info: features: - name: image dtype: image - name: text dtype: string splits: - name: train num_bytes: 4270773.0 num_examples: 292 download_size: 4220476 dataset_size: 4270773.0 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "heroicons-captions" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
yujiepan/awq-model-zoo	--- tags: - awq - llm - quantization --- # yujiepan/awq-model-zoo Here are some pre-computed awq information (scales & clips) used in [llm-awq](https://github.com/mit-han-lab/llm-awq). ## Scripts - Install the forked `llm-awq` at [https://github.com/yujiepan-work/llm-awq/tree/a41a08e79d8eb3d6335485b3625410af22a74426](https://github.com/yujiepan-work/llm-awq/tree/a41a08e79d8eb3d6335485b3625410af22a74426). Note: works with transformers==4.35.2 - Generating awq-info.pt: ```bash python do_awq.py --model_id mistralai/Mistral-7B-v0.1 --w_bit 8 --q_group_size 128 --dump_awq ./awq-info.pt ``` - Load a quantized model: You can use the offical repo to get a fake/real quantized model. Alternatively, you can load a fake-quantized model: ```python from do_awq import FakeAWQModel FakeAWQModel.from_pretrained('mistralai/Mistral-7B-v0.1', awq_meta_path='./awq-info.pt', output_folder='./tmp/') ``` Note: the code is not in good shape. ## Related links - <https://huggingface.co/datasets/mit-han-lab/awq-model-zoo>
DynamicSuperb/EmotionalSpeechAudioClassification_RAVDESS-EmotionalSound	--- license: cc-by-nc-sa-4.0 configs: - config_name: default data_files: - split: test path: data/test-* dataset_info: features: - name: file dtype: string - name: audio dtype: audio - name: instruction dtype: string - name: label dtype: string splits: - name: test num_bytes: 598283894.96 num_examples: 1440 download_size: 325216537 dataset_size: 598283894.96 ---
Falah/story44kids_1_prompts	--- dataset_info: features: - name: prompts dtype: string splits: - name: train num_bytes: 3254 num_examples: 10 download_size: 4900 dataset_size: 3254 --- # Dataset Card for "story44kids_1_prompts" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
open-llm-leaderboard/details_Undi95__X-MythoChronos-13B	--- pretty_name: Evaluation run of Undi95/X-MythoChronos-13B dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [Undi95/X-MythoChronos-13B](https://huggingface.co/Undi95/X-MythoChronos-13B)\ \ 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_Undi95__X-MythoChronos-13B\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-12-09T15:55:58.756519](https://huggingface.co/datasets/open-llm-leaderboard/details_Undi95__X-MythoChronos-13B/blob/main/results_2023-12-09T15-55-58.756519.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\": 0.5641085013010667,\n\ \ \"acc_stderr\": 0.0335879510752552,\n \"acc_norm\": 0.570142814951906,\n\ \ \"acc_norm_stderr\": 0.03430315611658459,\n \"mc1\": 0.37821297429620565,\n\ \ \"mc1_stderr\": 0.01697633590754687,\n \"mc2\": 0.535496493693775,\n\ \ \"mc2_stderr\": 0.015937525418247476\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.5844709897610921,\n \"acc_stderr\": 0.014401366641216383,\n\ \ \"acc_norm\": 0.5972696245733788,\n \"acc_norm_stderr\": 0.01433223630679015\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.6448914558852819,\n\ \ \"acc_stderr\": 0.004775681871529864,\n \"acc_norm\": 0.8338976299541924,\n\ \ \"acc_norm_stderr\": 0.0037141188843173825\n },\n \"harness\|hendrycksTest-abstract_algebra\|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-anatomy\|5\": {\n \"acc\": 0.5037037037037037,\n\ \ \"acc_stderr\": 0.04319223625811331,\n \"acc_norm\": 0.5037037037037037,\n\ \ \"acc_norm_stderr\": 0.04319223625811331\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.5657894736842105,\n \"acc_stderr\": 0.040335656678483205,\n\ \ \"acc_norm\": 0.5657894736842105,\n \"acc_norm_stderr\": 0.040335656678483205\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\": 0.5886792452830188,\n \"acc_stderr\": 0.030285009259009798,\n\ \ \"acc_norm\": 0.5886792452830188,\n \"acc_norm_stderr\": 0.030285009259009798\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.6111111111111112,\n\ \ \"acc_stderr\": 0.04076663253918567,\n \"acc_norm\": 0.6111111111111112,\n\ \ \"acc_norm_stderr\": 0.04076663253918567\n },\n \"harness\|hendrycksTest-college_chemistry\|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-college_computer_science\|5\": {\n \"acc\"\ : 0.45,\n \"acc_stderr\": 0.04999999999999999,\n \"acc_norm\": 0.45,\n\ \ \"acc_norm_stderr\": 0.04999999999999999\n },\n \"harness\|hendrycksTest-college_mathematics\|5\"\ : {\n \"acc\": 0.34,\n \"acc_stderr\": 0.04760952285695235,\n \ \ \"acc_norm\": 0.34,\n \"acc_norm_stderr\": 0.04760952285695235\n \ \ },\n \"harness\|hendrycksTest-college_medicine\|5\": {\n \"acc\": 0.5202312138728323,\n\ \ \"acc_stderr\": 0.03809342081273957,\n \"acc_norm\": 0.5202312138728323,\n\ \ \"acc_norm_stderr\": 0.03809342081273957\n },\n \"harness\|hendrycksTest-college_physics\|5\"\ : {\n \"acc\": 0.23529411764705882,\n \"acc_stderr\": 0.04220773659171452,\n\ \ \"acc_norm\": 0.23529411764705882,\n \"acc_norm_stderr\": 0.04220773659171452\n\ \ },\n \"harness\|hendrycksTest-computer_security\|5\": {\n \"acc\":\ \ 0.68,\n \"acc_stderr\": 0.04688261722621505,\n \"acc_norm\": 0.68,\n\ \ \"acc_norm_stderr\": 0.04688261722621505\n },\n \"harness\|hendrycksTest-conceptual_physics\|5\"\ : {\n \"acc\": 0.4723404255319149,\n \"acc_stderr\": 0.03263597118409769,\n\ \ \"acc_norm\": 0.4723404255319149,\n \"acc_norm_stderr\": 0.03263597118409769\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.3333333333333333,\n\ \ \"acc_stderr\": 0.044346007015849245,\n \"acc_norm\": 0.3333333333333333,\n\ \ \"acc_norm_stderr\": 0.044346007015849245\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.5379310344827586,\n \"acc_stderr\": 0.041546596717075474,\n\ \ \"acc_norm\": 0.5379310344827586,\n \"acc_norm_stderr\": 0.041546596717075474\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.29894179894179895,\n \"acc_stderr\": 0.023577604791655802,\n \"\ acc_norm\": 0.29894179894179895,\n \"acc_norm_stderr\": 0.023577604791655802\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.3333333333333333,\n\ \ \"acc_stderr\": 0.04216370213557835,\n \"acc_norm\": 0.3333333333333333,\n\ \ \"acc_norm_stderr\": 0.04216370213557835\n },\n \"harness\|hendrycksTest-global_facts\|5\"\ : {\n \"acc\": 0.37,\n \"acc_stderr\": 0.04852365870939099,\n \ \ \"acc_norm\": 0.37,\n \"acc_norm_stderr\": 0.04852365870939099\n \ \ },\n \"harness\|hendrycksTest-high_school_biology\|5\": {\n \"acc\": 0.6645161290322581,\n\ \ \"acc_stderr\": 0.02686020644472434,\n \"acc_norm\": 0.6645161290322581,\n\ \ \"acc_norm_stderr\": 0.02686020644472434\n },\n \"harness\|hendrycksTest-high_school_chemistry\|5\"\ : {\n \"acc\": 0.4187192118226601,\n \"acc_stderr\": 0.03471192860518468,\n\ \ \"acc_norm\": 0.4187192118226601,\n \"acc_norm_stderr\": 0.03471192860518468\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|5\": {\n \ \ \"acc\": 0.56,\n \"acc_stderr\": 0.04988876515698589,\n \"acc_norm\"\ : 0.56,\n \"acc_norm_stderr\": 0.04988876515698589\n },\n \"harness\|hendrycksTest-high_school_european_history\|5\"\ : {\n \"acc\": 0.6727272727272727,\n \"acc_stderr\": 0.03663974994391244,\n\ \ \"acc_norm\": 0.6727272727272727,\n \"acc_norm_stderr\": 0.03663974994391244\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.7222222222222222,\n \"acc_stderr\": 0.031911782267135466,\n \"\ acc_norm\": 0.7222222222222222,\n \"acc_norm_stderr\": 0.031911782267135466\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.8082901554404145,\n \"acc_stderr\": 0.02840895362624526,\n\ \ \"acc_norm\": 0.8082901554404145,\n \"acc_norm_stderr\": 0.02840895362624526\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.5256410256410257,\n \"acc_stderr\": 0.025317649726448663,\n\ \ \"acc_norm\": 0.5256410256410257,\n \"acc_norm_stderr\": 0.025317649726448663\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.32222222222222224,\n \"acc_stderr\": 0.028493465091028597,\n \ \ \"acc_norm\": 0.32222222222222224,\n \"acc_norm_stderr\": 0.028493465091028597\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.5756302521008403,\n \"acc_stderr\": 0.032104790510157764,\n\ \ \"acc_norm\": 0.5756302521008403,\n \"acc_norm_stderr\": 0.032104790510157764\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.3443708609271523,\n \"acc_stderr\": 0.03879687024073327,\n \"\ acc_norm\": 0.3443708609271523,\n \"acc_norm_stderr\": 0.03879687024073327\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.7467889908256881,\n \"acc_stderr\": 0.01864407304137504,\n \"\ acc_norm\": 0.7467889908256881,\n \"acc_norm_stderr\": 0.01864407304137504\n\ \ },\n \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\"\ : 0.4027777777777778,\n \"acc_stderr\": 0.033448873829978666,\n \"\ acc_norm\": 0.4027777777777778,\n \"acc_norm_stderr\": 0.033448873829978666\n\ \ },\n \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\"\ : 0.7450980392156863,\n \"acc_stderr\": 0.030587591351604243,\n \"\ acc_norm\": 0.7450980392156863,\n \"acc_norm_stderr\": 0.030587591351604243\n\ \ },\n \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"\ acc\": 0.7679324894514767,\n \"acc_stderr\": 0.027479744550808503,\n \ \ \"acc_norm\": 0.7679324894514767,\n \"acc_norm_stderr\": 0.027479744550808503\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.6816143497757847,\n\ \ \"acc_stderr\": 0.03126580522513713,\n \"acc_norm\": 0.6816143497757847,\n\ \ \"acc_norm_stderr\": 0.03126580522513713\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.6412213740458015,\n \"acc_stderr\": 0.04206739313864908,\n\ \ \"acc_norm\": 0.6412213740458015,\n \"acc_norm_stderr\": 0.04206739313864908\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.7520661157024794,\n \"acc_stderr\": 0.03941897526516303,\n \"\ acc_norm\": 0.7520661157024794,\n \"acc_norm_stderr\": 0.03941897526516303\n\ \ },\n \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.7222222222222222,\n\ \ \"acc_stderr\": 0.043300437496507416,\n \"acc_norm\": 0.7222222222222222,\n\ \ \"acc_norm_stderr\": 0.043300437496507416\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.6871165644171779,\n \"acc_stderr\": 0.036429145782924055,\n\ \ \"acc_norm\": 0.6871165644171779,\n \"acc_norm_stderr\": 0.036429145782924055\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.375,\n\ \ \"acc_stderr\": 0.04595091388086298,\n \"acc_norm\": 0.375,\n \ \ \"acc_norm_stderr\": 0.04595091388086298\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.6990291262135923,\n \"acc_stderr\": 0.045416094465039476,\n\ \ \"acc_norm\": 0.6990291262135923,\n \"acc_norm_stderr\": 0.045416094465039476\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.8333333333333334,\n\ \ \"acc_stderr\": 0.024414947304543678,\n \"acc_norm\": 0.8333333333333334,\n\ \ \"acc_norm_stderr\": 0.024414947304543678\n },\n \"harness\|hendrycksTest-medical_genetics\|5\"\ : {\n \"acc\": 0.55,\n \"acc_stderr\": 0.04999999999999999,\n \ \ \"acc_norm\": 0.55,\n \"acc_norm_stderr\": 0.04999999999999999\n \ \ },\n \"harness\|hendrycksTest-miscellaneous\|5\": {\n \"acc\": 0.7611749680715197,\n\ \ \"acc_stderr\": 0.015246803197398675,\n \"acc_norm\": 0.7611749680715197,\n\ \ \"acc_norm_stderr\": 0.015246803197398675\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.6416184971098265,\n \"acc_stderr\": 0.025816756791584194,\n\ \ \"acc_norm\": 0.6416184971098265,\n \"acc_norm_stderr\": 0.025816756791584194\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.488268156424581,\n\ \ \"acc_stderr\": 0.016717897676932162,\n \"acc_norm\": 0.488268156424581,\n\ \ \"acc_norm_stderr\": 0.016717897676932162\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.6111111111111112,\n \"acc_stderr\": 0.027914055510467998,\n\ \ \"acc_norm\": 0.6111111111111112,\n \"acc_norm_stderr\": 0.027914055510467998\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.6463022508038585,\n\ \ \"acc_stderr\": 0.027155208103200865,\n \"acc_norm\": 0.6463022508038585,\n\ \ \"acc_norm_stderr\": 0.027155208103200865\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.6419753086419753,\n \"acc_stderr\": 0.026675611926037106,\n\ \ \"acc_norm\": 0.6419753086419753,\n \"acc_norm_stderr\": 0.026675611926037106\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.41843971631205673,\n \"acc_stderr\": 0.02942799403941999,\n \ \ \"acc_norm\": 0.41843971631205673,\n \"acc_norm_stderr\": 0.02942799403941999\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.44002607561929596,\n\ \ \"acc_stderr\": 0.012678037478574513,\n \"acc_norm\": 0.44002607561929596,\n\ \ \"acc_norm_stderr\": 0.012678037478574513\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.5294117647058824,\n \"acc_stderr\": 0.03032024326500413,\n\ \ \"acc_norm\": 0.5294117647058824,\n \"acc_norm_stderr\": 0.03032024326500413\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.5751633986928104,\n \"acc_stderr\": 0.019997973035458333,\n \ \ \"acc_norm\": 0.5751633986928104,\n \"acc_norm_stderr\": 0.019997973035458333\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.6363636363636364,\n\ \ \"acc_stderr\": 0.046075820907199756,\n \"acc_norm\": 0.6363636363636364,\n\ \ \"acc_norm_stderr\": 0.046075820907199756\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.6326530612244898,\n \"acc_stderr\": 0.03086214492108756,\n\ \ \"acc_norm\": 0.6326530612244898,\n \"acc_norm_stderr\": 0.03086214492108756\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.7661691542288557,\n\ \ \"acc_stderr\": 0.029929415408348384,\n \"acc_norm\": 0.7661691542288557,\n\ \ \"acc_norm_stderr\": 0.029929415408348384\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.83,\n \"acc_stderr\": 0.03775251680686371,\n \ \ \"acc_norm\": 0.83,\n \"acc_norm_stderr\": 0.03775251680686371\n \ \ },\n \"harness\|hendrycksTest-virology\|5\": {\n \"acc\": 0.46987951807228917,\n\ \ \"acc_stderr\": 0.03885425420866766,\n \"acc_norm\": 0.46987951807228917,\n\ \ \"acc_norm_stderr\": 0.03885425420866766\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.7894736842105263,\n \"acc_stderr\": 0.031267817146631786,\n\ \ \"acc_norm\": 0.7894736842105263,\n \"acc_norm_stderr\": 0.031267817146631786\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.37821297429620565,\n\ \ \"mc1_stderr\": 0.01697633590754687,\n \"mc2\": 0.535496493693775,\n\ \ \"mc2_stderr\": 0.015937525418247476\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.744277821625888,\n \"acc_stderr\": 0.012261253845440474\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.22971948445792267,\n \ \ \"acc_stderr\": 0.011586857544997501\n }\n}\n```" repo_url: https://huggingface.co/Undi95/X-MythoChronos-13B 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_09T15_55_58.756519 path: - '/details_harness\|arc:challenge\|25_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-12-09T15-55-58.756519.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '/details_harness\|gsm8k\|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_12_09T15_55_58.756519 path: - '/details_harness\|hellaswag\|10_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-12-09T15-55-58.756519.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '/details_harness\|hendrycksTest-management\|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '/details_harness\|hendrycksTest-virology\|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_12_09T15_55_58.756519 path: - '/details_harness\|truthfulqa:mc\|0_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-12-09T15-55-58.756519.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '/details_harness\|winogrande\|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-12-09T15-55-58.756519.parquet' - config_name: results data_files: - split: 2023_12_09T15_55_58.756519 path: - results_2023-12-09T15-55-58.756519.parquet - split: latest path: - results_2023-12-09T15-55-58.756519.parquet --- # Dataset Card for Evaluation run of Undi95/X-MythoChronos-13B ## Dataset Description - Homepage: - Repository: https://huggingface.co/Undi95/X-MythoChronos-13B - 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 [Undi95/X-MythoChronos-13B](https://huggingface.co/Undi95/X-MythoChronos-13B) 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_Undi95__X-MythoChronos-13B", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-12-09T15:55:58.756519](https://huggingface.co/datasets/open-llm-leaderboard/details_Undi95__X-MythoChronos-13B/blob/main/results_2023-12-09T15-55-58.756519.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": 0.5641085013010667, "acc_stderr": 0.0335879510752552, "acc_norm": 0.570142814951906, "acc_norm_stderr": 0.03430315611658459, "mc1": 0.37821297429620565, "mc1_stderr": 0.01697633590754687, "mc2": 0.535496493693775, "mc2_stderr": 0.015937525418247476 }, "harness\|arc:challenge\|25": { "acc": 0.5844709897610921, "acc_stderr": 0.014401366641216383, "acc_norm": 0.5972696245733788, "acc_norm_stderr": 0.01433223630679015 }, "harness\|hellaswag\|10": { "acc": 0.6448914558852819, "acc_stderr": 0.004775681871529864, "acc_norm": 0.8338976299541924, "acc_norm_stderr": 0.0037141188843173825 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.32, "acc_stderr": 0.046882617226215034, "acc_norm": 0.32, "acc_norm_stderr": 0.046882617226215034 }, "harness\|hendrycksTest-anatomy\|5": { "acc": 0.5037037037037037, "acc_stderr": 0.04319223625811331, "acc_norm": 0.5037037037037037, "acc_norm_stderr": 0.04319223625811331 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.5657894736842105, "acc_stderr": 0.040335656678483205, "acc_norm": 0.5657894736842105, "acc_norm_stderr": 0.040335656678483205 }, "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": 0.5886792452830188, "acc_stderr": 0.030285009259009798, "acc_norm": 0.5886792452830188, "acc_norm_stderr": 0.030285009259009798 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.6111111111111112, "acc_stderr": 0.04076663253918567, "acc_norm": 0.6111111111111112, "acc_norm_stderr": 0.04076663253918567 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.38, "acc_stderr": 0.04878317312145633, "acc_norm": 0.38, "acc_norm_stderr": 0.04878317312145633 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.45, "acc_stderr": 0.04999999999999999, "acc_norm": 0.45, "acc_norm_stderr": 0.04999999999999999 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.34, "acc_stderr": 0.04760952285695235, "acc_norm": 0.34, "acc_norm_stderr": 0.04760952285695235 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.5202312138728323, "acc_stderr": 0.03809342081273957, "acc_norm": 0.5202312138728323, "acc_norm_stderr": 0.03809342081273957 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.23529411764705882, "acc_stderr": 0.04220773659171452, "acc_norm": 0.23529411764705882, "acc_norm_stderr": 0.04220773659171452 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.68, "acc_stderr": 0.04688261722621505, "acc_norm": 0.68, "acc_norm_stderr": 0.04688261722621505 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.4723404255319149, "acc_stderr": 0.03263597118409769, "acc_norm": 0.4723404255319149, "acc_norm_stderr": 0.03263597118409769 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.3333333333333333, "acc_stderr": 0.044346007015849245, "acc_norm": 0.3333333333333333, "acc_norm_stderr": 0.044346007015849245 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.5379310344827586, "acc_stderr": 0.041546596717075474, "acc_norm": 0.5379310344827586, "acc_norm_stderr": 0.041546596717075474 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.29894179894179895, "acc_stderr": 0.023577604791655802, "acc_norm": 0.29894179894179895, "acc_norm_stderr": 0.023577604791655802 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.3333333333333333, "acc_stderr": 0.04216370213557835, "acc_norm": 0.3333333333333333, "acc_norm_stderr": 0.04216370213557835 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.37, "acc_stderr": 0.04852365870939099, "acc_norm": 0.37, "acc_norm_stderr": 0.04852365870939099 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.6645161290322581, "acc_stderr": 0.02686020644472434, "acc_norm": 0.6645161290322581, "acc_norm_stderr": 0.02686020644472434 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.4187192118226601, "acc_stderr": 0.03471192860518468, "acc_norm": 0.4187192118226601, "acc_norm_stderr": 0.03471192860518468 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.56, "acc_stderr": 0.04988876515698589, "acc_norm": 0.56, "acc_norm_stderr": 0.04988876515698589 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.6727272727272727, "acc_stderr": 0.03663974994391244, "acc_norm": 0.6727272727272727, "acc_norm_stderr": 0.03663974994391244 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.7222222222222222, "acc_stderr": 0.031911782267135466, "acc_norm": 0.7222222222222222, "acc_norm_stderr": 0.031911782267135466 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.8082901554404145, "acc_stderr": 0.02840895362624526, "acc_norm": 0.8082901554404145, "acc_norm_stderr": 0.02840895362624526 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.5256410256410257, "acc_stderr": 0.025317649726448663, "acc_norm": 0.5256410256410257, "acc_norm_stderr": 0.025317649726448663 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.32222222222222224, "acc_stderr": 0.028493465091028597, "acc_norm": 0.32222222222222224, "acc_norm_stderr": 0.028493465091028597 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.5756302521008403, "acc_stderr": 0.032104790510157764, "acc_norm": 0.5756302521008403, "acc_norm_stderr": 0.032104790510157764 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.3443708609271523, "acc_stderr": 0.03879687024073327, "acc_norm": 0.3443708609271523, "acc_norm_stderr": 0.03879687024073327 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.7467889908256881, "acc_stderr": 0.01864407304137504, "acc_norm": 0.7467889908256881, "acc_norm_stderr": 0.01864407304137504 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.4027777777777778, "acc_stderr": 0.033448873829978666, "acc_norm": 0.4027777777777778, "acc_norm_stderr": 0.033448873829978666 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.7450980392156863, "acc_stderr": 0.030587591351604243, "acc_norm": 0.7450980392156863, "acc_norm_stderr": 0.030587591351604243 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.7679324894514767, "acc_stderr": 0.027479744550808503, "acc_norm": 0.7679324894514767, "acc_norm_stderr": 0.027479744550808503 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.6816143497757847, "acc_stderr": 0.03126580522513713, "acc_norm": 0.6816143497757847, "acc_norm_stderr": 0.03126580522513713 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.6412213740458015, "acc_stderr": 0.04206739313864908, "acc_norm": 0.6412213740458015, "acc_norm_stderr": 0.04206739313864908 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.7520661157024794, "acc_stderr": 0.03941897526516303, "acc_norm": 0.7520661157024794, "acc_norm_stderr": 0.03941897526516303 }, "harness\|hendrycksTest-jurisprudence\|5": { "acc": 0.7222222222222222, "acc_stderr": 0.043300437496507416, "acc_norm": 0.7222222222222222, "acc_norm_stderr": 0.043300437496507416 }, "harness\|hendrycksTest-logical_fallacies\|5": { "acc": 0.6871165644171779, "acc_stderr": 0.036429145782924055, "acc_norm": 0.6871165644171779, "acc_norm_stderr": 0.036429145782924055 }, "harness\|hendrycksTest-machine_learning\|5": { "acc": 0.375, "acc_stderr": 0.04595091388086298, "acc_norm": 0.375, "acc_norm_stderr": 0.04595091388086298 }, "harness\|hendrycksTest-management\|5": { "acc": 0.6990291262135923, "acc_stderr": 0.045416094465039476, "acc_norm": 0.6990291262135923, "acc_norm_stderr": 0.045416094465039476 }, "harness\|hendrycksTest-marketing\|5": { "acc": 0.8333333333333334, "acc_stderr": 0.024414947304543678, "acc_norm": 0.8333333333333334, "acc_norm_stderr": 0.024414947304543678 }, "harness\|hendrycksTest-medical_genetics\|5": { "acc": 0.55, "acc_stderr": 0.04999999999999999, "acc_norm": 0.55, "acc_norm_stderr": 0.04999999999999999 }, "harness\|hendrycksTest-miscellaneous\|5": { "acc": 0.7611749680715197, "acc_stderr": 0.015246803197398675, "acc_norm": 0.7611749680715197, "acc_norm_stderr": 0.015246803197398675 }, "harness\|hendrycksTest-moral_disputes\|5": { "acc": 0.6416184971098265, "acc_stderr": 0.025816756791584194, "acc_norm": 0.6416184971098265, "acc_norm_stderr": 0.025816756791584194 }, "harness\|hendrycksTest-moral_scenarios\|5": { "acc": 0.488268156424581, "acc_stderr": 0.016717897676932162, "acc_norm": 0.488268156424581, "acc_norm_stderr": 0.016717897676932162 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.6111111111111112, "acc_stderr": 0.027914055510467998, "acc_norm": 0.6111111111111112, "acc_norm_stderr": 0.027914055510467998 }, "harness\|hendrycksTest-philosophy\|5": { "acc": 0.6463022508038585, "acc_stderr": 0.027155208103200865, "acc_norm": 0.6463022508038585, "acc_norm_stderr": 0.027155208103200865 }, "harness\|hendrycksTest-prehistory\|5": { "acc": 0.6419753086419753, "acc_stderr": 0.026675611926037106, "acc_norm": 0.6419753086419753, "acc_norm_stderr": 0.026675611926037106 }, "harness\|hendrycksTest-professional_accounting\|5": { "acc": 0.41843971631205673, "acc_stderr": 0.02942799403941999, "acc_norm": 0.41843971631205673, "acc_norm_stderr": 0.02942799403941999 }, "harness\|hendrycksTest-professional_law\|5": { "acc": 0.44002607561929596, "acc_stderr": 0.012678037478574513, "acc_norm": 0.44002607561929596, "acc_norm_stderr": 0.012678037478574513 }, "harness\|hendrycksTest-professional_medicine\|5": { "acc": 0.5294117647058824, "acc_stderr": 0.03032024326500413, "acc_norm": 0.5294117647058824, "acc_norm_stderr": 0.03032024326500413 }, "harness\|hendrycksTest-professional_psychology\|5": { "acc": 0.5751633986928104, "acc_stderr": 0.019997973035458333, "acc_norm": 0.5751633986928104, "acc_norm_stderr": 0.019997973035458333 }, "harness\|hendrycksTest-public_relations\|5": { "acc": 0.6363636363636364, "acc_stderr": 0.046075820907199756, "acc_norm": 0.6363636363636364, "acc_norm_stderr": 0.046075820907199756 }, "harness\|hendrycksTest-security_studies\|5": { "acc": 0.6326530612244898, "acc_stderr": 0.03086214492108756, "acc_norm": 0.6326530612244898, "acc_norm_stderr": 0.03086214492108756 }, "harness\|hendrycksTest-sociology\|5": { "acc": 0.7661691542288557, "acc_stderr": 0.029929415408348384, "acc_norm": 0.7661691542288557, "acc_norm_stderr": 0.029929415408348384 }, "harness\|hendrycksTest-us_foreign_policy\|5": { "acc": 0.83, "acc_stderr": 0.03775251680686371, "acc_norm": 0.83, "acc_norm_stderr": 0.03775251680686371 }, "harness\|hendrycksTest-virology\|5": { "acc": 0.46987951807228917, "acc_stderr": 0.03885425420866766, "acc_norm": 0.46987951807228917, "acc_norm_stderr": 0.03885425420866766 }, "harness\|hendrycksTest-world_religions\|5": { "acc": 0.7894736842105263, "acc_stderr": 0.031267817146631786, "acc_norm": 0.7894736842105263, "acc_norm_stderr": 0.031267817146631786 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.37821297429620565, "mc1_stderr": 0.01697633590754687, "mc2": 0.535496493693775, "mc2_stderr": 0.015937525418247476 }, "harness\|winogrande\|5": { "acc": 0.744277821625888, "acc_stderr": 0.012261253845440474 }, "harness\|gsm8k\|5": { "acc": 0.22971948445792267, "acc_stderr": 0.011586857544997501 } } ``` ### 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]
Melanit/testsetjax	--- dataset_info: features: - name: audio dtype: audio - name: transcription dtype: string - name: chunks list: - name: text dtype: string - name: timestamp sequence: float64 splits: - name: example num_bytes: 5699512.0 num_examples: 10 download_size: 4385109 dataset_size: 5699512.0 configs: - config_name: default data_files: - split: example path: data/example-* --- # Dataset Card for "testsetjax" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Falah/facebook_engagement_data	--- dataset_info: features: - name: source_id dtype: string - name: source_name dtype: string - name: author dtype: string - name: title dtype: string - name: description dtype: string - name: url dtype: string - name: url_to_image dtype: string - name: published_at dtype: string - name: content dtype: string - name: top_article dtype: float64 - name: engagement_reaction_count dtype: float64 - name: engagement_comment_count dtype: float64 - name: engagement_share_count dtype: float64 - name: engagement_comment_plugin_count dtype: float64 splits: - name: train num_bytes: 1111542 num_examples: 1428 download_size: 622130 dataset_size: 1111542 --- # Dataset Card for "facebook_engagement_data" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
misterwhisperorg/datasets2	--- license: apache-2.0 ---
CyberHarem/kazemaru_arknights	--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of kazemaru/カゼマル/风丸 (Arknights) This is the dataset of kazemaru/カゼマル/风丸 (Arknights), containing 44 images and their tags. The core tags of this character are `animal_ears, cat_ears, breasts, long_hair, earrings, hair_ornament, tail, animal_ear_fluff, purple_eyes, cat_girl, cat_tail, multicolored_hair, hairclip, medium_breasts, braid, grey_hair, maid_headdress`, 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 \| 44 \| 85.95 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/kazemaru_arknights/resolve/main/dataset-raw.zip) \| Waifuc-Raw \| Raw data with meta information (min edge aligned to 1400 if larger). \| \| 1200 \| 44 \| 69.94 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/kazemaru_arknights/resolve/main/dataset-1200.zip) \| IMG+TXT \| dataset with the shorter side not exceeding 1200 pixels. \| \| stage3-p480-1200 \| 116 \| 143.99 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/kazemaru_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/kazemaru_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 \| 28 \| ![](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, looking_at_viewer, white_gloves, black_dress, elbow_gloves, tongue_out, blush, puffy_short_sleeves, cleavage, holding, maid, twin_braids, smile, cross_earrings, white_pantyhose, blonde_hair, large_breasts, pink_eyes, simple_background \| \| 1 \| 16 \| ![](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, solo, looking_at_viewer, open_mouth, simple_background, hairband, open_jacket, single_hair_bun, single_side_bun, white_background, yellow_jacket, bare_shoulders, jewelry, long_sleeves, blush, collarbone, off_shoulder, smile, thighhighs, cat, grey_eyes, holding, shorts \| ### Table Version \| # \| Samples \| Img-1 \| Img-2 \| Img-3 \| Img-4 \| Img-5 \| 1girl \| solo \| looking_at_viewer \| white_gloves \| black_dress \| elbow_gloves \| tongue_out \| blush \| puffy_short_sleeves \| cleavage \| holding \| maid \| twin_braids \| smile \| cross_earrings \| white_pantyhose \| blonde_hair \| large_breasts \| pink_eyes \| simple_background \| open_mouth \| hairband \| open_jacket \| single_hair_bun \| single_side_bun \| white_background \| yellow_jacket \| bare_shoulders \| jewelry \| long_sleeves \| collarbone \| off_shoulder \| thighhighs \| cat \| grey_eyes \| shorts \| \|----:\|----------:\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------\|:-------\|:--------------------\|:---------------\|:--------------\|:---------------\|:-------------\|:--------\|:----------------------\|:-----------\|:----------\|:-------\|:--------------\|:--------\|:-----------------\|:------------------\|:--------------\|:----------------\|:------------\|:--------------------\|:-------------\|:-----------\|:--------------\|:------------------\|:------------------\|:-------------------\|:----------------\|:-----------------\|:----------\|:---------------\|:-------------\|:---------------\|:-------------\|:------\|:------------\|:---------\| \| 0 \| 28 \| ![](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 \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 1 \| 16 \| ![](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 \| X \| X \| X \| X \|
Thanmay/revised_toxigen-hi	--- dataset_info: features: - name: text dtype: string - name: label dtype: string - name: toxicity_score dtype: float64 - name: id dtype: int64 - name: target_groups sequence: string - name: itv2 hi text dtype: string splits: - name: validation num_bytes: 2482 num_examples: 5 - name: test num_bytes: 2680072 num_examples: 6509 download_size: 1138333 dataset_size: 2682554 configs: - config_name: default data_files: - split: validation path: data/validation-* - split: test path: data/test-* ---
open-llm-leaderboard/details_huseyinatahaninan__phi-2-dpo	--- pretty_name: Evaluation run of huseyinatahaninan/phi-2-dpo dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [huseyinatahaninan/phi-2-dpo](https://huggingface.co/huseyinatahaninan/phi-2-dpo)\ \ 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_huseyinatahaninan__phi-2-dpo\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-02-12T21:58:15.192256](https://huggingface.co/datasets/open-llm-leaderboard/details_huseyinatahaninan__phi-2-dpo/blob/main/results_2024-02-12T21-58-15.192256.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\": 0.5870761708653485,\n\ \ \"acc_stderr\": 0.03369469581974977,\n \"acc_norm\": 0.5884353168964569,\n\ \ \"acc_norm_stderr\": 0.034381836157511524,\n \"mc1\": 0.3157894736842105,\n\ \ \"mc1_stderr\": 0.016272287957916912,\n \"mc2\": 0.45354154186159823,\n\ \ \"mc2_stderr\": 0.015221463708711597\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.6040955631399317,\n \"acc_stderr\": 0.014291228393536588,\n\ \ \"acc_norm\": 0.6305460750853242,\n \"acc_norm_stderr\": 0.014104578366491897\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.5765783708424617,\n\ \ \"acc_stderr\": 0.004930911515084782,\n \"acc_norm\": 0.7635929097789285,\n\ \ \"acc_norm_stderr\": 0.004240066898702509\n },\n \"harness\|hendrycksTest-abstract_algebra\|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-anatomy\|5\": {\n \"acc\": 0.4444444444444444,\n\ \ \"acc_stderr\": 0.04292596718256981,\n \"acc_norm\": 0.4444444444444444,\n\ \ \"acc_norm_stderr\": 0.04292596718256981\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.5986842105263158,\n \"acc_stderr\": 0.039889037033362836,\n\ \ \"acc_norm\": 0.5986842105263158,\n \"acc_norm_stderr\": 0.039889037033362836\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|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-clinical_knowledge\|5\"\ : {\n \"acc\": 0.6150943396226415,\n \"acc_stderr\": 0.02994649856769995,\n\ \ \"acc_norm\": 0.6150943396226415,\n \"acc_norm_stderr\": 0.02994649856769995\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.6805555555555556,\n\ \ \"acc_stderr\": 0.038990736873573344,\n \"acc_norm\": 0.6805555555555556,\n\ \ \"acc_norm_stderr\": 0.038990736873573344\n },\n \"harness\|hendrycksTest-college_chemistry\|5\"\ : {\n \"acc\": 0.39,\n \"acc_stderr\": 0.04902071300001975,\n \ \ \"acc_norm\": 0.39,\n \"acc_norm_stderr\": 0.04902071300001975\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\": 0.42,\n \"acc_stderr\": 0.04960449637488584,\n \ \ \"acc_norm\": 0.42,\n \"acc_norm_stderr\": 0.04960449637488584\n \ \ },\n \"harness\|hendrycksTest-college_medicine\|5\": {\n \"acc\": 0.5953757225433526,\n\ \ \"acc_stderr\": 0.03742461193887248,\n \"acc_norm\": 0.5953757225433526,\n\ \ \"acc_norm_stderr\": 0.03742461193887248\n },\n \"harness\|hendrycksTest-college_physics\|5\"\ : {\n \"acc\": 0.4215686274509804,\n \"acc_stderr\": 0.04913595201274498,\n\ \ \"acc_norm\": 0.4215686274509804,\n \"acc_norm_stderr\": 0.04913595201274498\n\ \ },\n \"harness\|hendrycksTest-computer_security\|5\": {\n \"acc\":\ \ 0.73,\n \"acc_stderr\": 0.04461960433384739,\n \"acc_norm\": 0.73,\n\ \ \"acc_norm_stderr\": 0.04461960433384739\n },\n \"harness\|hendrycksTest-conceptual_physics\|5\"\ : {\n \"acc\": 0.5106382978723404,\n \"acc_stderr\": 0.03267862331014063,\n\ \ \"acc_norm\": 0.5106382978723404,\n \"acc_norm_stderr\": 0.03267862331014063\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.3684210526315789,\n\ \ \"acc_stderr\": 0.04537815354939392,\n \"acc_norm\": 0.3684210526315789,\n\ \ \"acc_norm_stderr\": 0.04537815354939392\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.5517241379310345,\n \"acc_stderr\": 0.04144311810878152,\n\ \ \"acc_norm\": 0.5517241379310345,\n \"acc_norm_stderr\": 0.04144311810878152\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.46825396825396826,\n \"acc_stderr\": 0.025699352832131796,\n \"\ acc_norm\": 0.46825396825396826,\n \"acc_norm_stderr\": 0.025699352832131796\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.373015873015873,\n\ \ \"acc_stderr\": 0.04325506042017086,\n \"acc_norm\": 0.373015873015873,\n\ \ \"acc_norm_stderr\": 0.04325506042017086\n },\n \"harness\|hendrycksTest-global_facts\|5\"\ : {\n \"acc\": 0.35,\n \"acc_stderr\": 0.047937248544110196,\n \ \ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.047937248544110196\n \ \ },\n \"harness\|hendrycksTest-high_school_biology\|5\": {\n \"acc\"\ : 0.7096774193548387,\n \"acc_stderr\": 0.025822106119415898,\n \"\ acc_norm\": 0.7096774193548387,\n \"acc_norm_stderr\": 0.025822106119415898\n\ \ },\n \"harness\|hendrycksTest-high_school_chemistry\|5\": {\n \"acc\"\ : 0.4729064039408867,\n \"acc_stderr\": 0.03512819077876106,\n \"\ acc_norm\": 0.4729064039408867,\n \"acc_norm_stderr\": 0.03512819077876106\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\": 0.6787878787878788,\n \"acc_stderr\": 0.036462049632538115,\n\ \ \"acc_norm\": 0.6787878787878788,\n \"acc_norm_stderr\": 0.036462049632538115\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.7272727272727273,\n \"acc_stderr\": 0.03173071239071724,\n \"\ acc_norm\": 0.7272727272727273,\n \"acc_norm_stderr\": 0.03173071239071724\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.8031088082901554,\n \"acc_stderr\": 0.02869787397186067,\n\ \ \"acc_norm\": 0.8031088082901554,\n \"acc_norm_stderr\": 0.02869787397186067\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.5897435897435898,\n \"acc_stderr\": 0.024939313906940784,\n\ \ \"acc_norm\": 0.5897435897435898,\n \"acc_norm_stderr\": 0.024939313906940784\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.32222222222222224,\n \"acc_stderr\": 0.028493465091028597,\n \ \ \"acc_norm\": 0.32222222222222224,\n \"acc_norm_stderr\": 0.028493465091028597\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.592436974789916,\n \"acc_stderr\": 0.03191863374478465,\n \ \ \"acc_norm\": 0.592436974789916,\n \"acc_norm_stderr\": 0.03191863374478465\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.39072847682119205,\n \"acc_stderr\": 0.039837983066598075,\n \"\ acc_norm\": 0.39072847682119205,\n \"acc_norm_stderr\": 0.039837983066598075\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.8055045871559633,\n \"acc_stderr\": 0.01697028909045803,\n \"\ acc_norm\": 0.8055045871559633,\n \"acc_norm_stderr\": 0.01697028909045803\n\ \ },\n \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\"\ : 0.48148148148148145,\n \"acc_stderr\": 0.03407632093854052,\n \"\ acc_norm\": 0.48148148148148145,\n \"acc_norm_stderr\": 0.03407632093854052\n\ \ },\n \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\"\ : 0.6764705882352942,\n \"acc_stderr\": 0.03283472056108561,\n \"\ acc_norm\": 0.6764705882352942,\n \"acc_norm_stderr\": 0.03283472056108561\n\ \ },\n \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"\ acc\": 0.7468354430379747,\n \"acc_stderr\": 0.028304657943035296,\n \ \ \"acc_norm\": 0.7468354430379747,\n \"acc_norm_stderr\": 0.028304657943035296\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.6502242152466368,\n\ \ \"acc_stderr\": 0.03200736719484503,\n \"acc_norm\": 0.6502242152466368,\n\ \ \"acc_norm_stderr\": 0.03200736719484503\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.7175572519083969,\n \"acc_stderr\": 0.03948406125768361,\n\ \ \"acc_norm\": 0.7175572519083969,\n \"acc_norm_stderr\": 0.03948406125768361\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.7355371900826446,\n \"acc_stderr\": 0.040261875275912046,\n \"\ acc_norm\": 0.7355371900826446,\n \"acc_norm_stderr\": 0.040261875275912046\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\": 0.7607361963190185,\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\": 0.7281553398058253,\n \"acc_stderr\": 0.044052680241409216,\n\ \ \"acc_norm\": 0.7281553398058253,\n \"acc_norm_stderr\": 0.044052680241409216\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.811965811965812,\n\ \ \"acc_stderr\": 0.025598193686652265,\n \"acc_norm\": 0.811965811965812,\n\ \ \"acc_norm_stderr\": 0.025598193686652265\n },\n \"harness\|hendrycksTest-medical_genetics\|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-miscellaneous\|5\": {\n \"acc\": 0.6781609195402298,\n\ \ \"acc_stderr\": 0.0167063814150579,\n \"acc_norm\": 0.6781609195402298,\n\ \ \"acc_norm_stderr\": 0.0167063814150579\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.6676300578034682,\n \"acc_stderr\": 0.025361168749688228,\n\ \ \"acc_norm\": 0.6676300578034682,\n \"acc_norm_stderr\": 0.025361168749688228\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.24916201117318434,\n\ \ \"acc_stderr\": 0.014465893829859924,\n \"acc_norm\": 0.24916201117318434,\n\ \ \"acc_norm_stderr\": 0.014465893829859924\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.6372549019607843,\n \"acc_stderr\": 0.02753007844711031,\n\ \ \"acc_norm\": 0.6372549019607843,\n \"acc_norm_stderr\": 0.02753007844711031\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.6366559485530546,\n\ \ \"acc_stderr\": 0.027316847674192703,\n \"acc_norm\": 0.6366559485530546,\n\ \ \"acc_norm_stderr\": 0.027316847674192703\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.6265432098765432,\n \"acc_stderr\": 0.02691500301138016,\n\ \ \"acc_norm\": 0.6265432098765432,\n \"acc_norm_stderr\": 0.02691500301138016\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.4326241134751773,\n \"acc_stderr\": 0.029555454236778852,\n \ \ \"acc_norm\": 0.4326241134751773,\n \"acc_norm_stderr\": 0.029555454236778852\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.4217731421121252,\n\ \ \"acc_stderr\": 0.012612974369390973,\n \"acc_norm\": 0.4217731421121252,\n\ \ \"acc_norm_stderr\": 0.012612974369390973\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.46691176470588236,\n \"acc_stderr\": 0.030306257722468314,\n\ \ \"acc_norm\": 0.46691176470588236,\n \"acc_norm_stderr\": 0.030306257722468314\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.5637254901960784,\n \"acc_stderr\": 0.02006287424353913,\n \ \ \"acc_norm\": 0.5637254901960784,\n \"acc_norm_stderr\": 0.02006287424353913\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\": 0.710204081632653,\n \"acc_stderr\": 0.029043088683304328,\n\ \ \"acc_norm\": 0.710204081632653,\n \"acc_norm_stderr\": 0.029043088683304328\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.8059701492537313,\n\ \ \"acc_stderr\": 0.027962677604768924,\n \"acc_norm\": 0.8059701492537313,\n\ \ \"acc_norm_stderr\": 0.027962677604768924\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.77,\n \"acc_stderr\": 0.042295258468165065,\n \ \ \"acc_norm\": 0.77,\n \"acc_norm_stderr\": 0.042295258468165065\n \ \ },\n \"harness\|hendrycksTest-virology\|5\": {\n \"acc\": 0.4759036144578313,\n\ \ \"acc_stderr\": 0.038879718495972646,\n \"acc_norm\": 0.4759036144578313,\n\ \ \"acc_norm_stderr\": 0.038879718495972646\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.7076023391812866,\n \"acc_stderr\": 0.034886477134579215,\n\ \ \"acc_norm\": 0.7076023391812866,\n \"acc_norm_stderr\": 0.034886477134579215\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.3157894736842105,\n\ \ \"mc1_stderr\": 0.016272287957916912,\n \"mc2\": 0.45354154186159823,\n\ \ \"mc2_stderr\": 0.015221463708711597\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.7403314917127072,\n \"acc_stderr\": 0.012322700705552667\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.5670962850644428,\n \ \ \"acc_stderr\": 0.013647916362576054\n }\n}\n```" repo_url: https://huggingface.co/huseyinatahaninan/phi-2-dpo 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_12T21_58_15.192256 path: - '/details_harness\|arc:challenge\|25_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2024-02-12T21-58-15.192256.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '/details_harness\|gsm8k\|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_02_12T21_58_15.192256 path: - '/details_harness\|hellaswag\|10_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-02-12T21-58-15.192256.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '/details_harness\|hendrycksTest-international_law\|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '/details_harness\|hendrycksTest-management\|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '/details_harness\|hendrycksTest-marketing\|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '/details_harness\|hendrycksTest-sociology\|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '/details_harness\|hendrycksTest-virology\|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_02_12T21_58_15.192256 path: - '/details_harness\|truthfulqa:mc\|0_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2024-02-12T21-58-15.192256.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '/details_harness\|winogrande\|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2024-02-12T21-58-15.192256.parquet' - config_name: results data_files: - split: 2024_02_12T21_58_15.192256 path: - results_2024-02-12T21-58-15.192256.parquet - split: latest path: - results_2024-02-12T21-58-15.192256.parquet --- # Dataset Card for Evaluation run of huseyinatahaninan/phi-2-dpo <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [huseyinatahaninan/phi-2-dpo](https://huggingface.co/huseyinatahaninan/phi-2-dpo) 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_huseyinatahaninan__phi-2-dpo", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-02-12T21:58:15.192256](https://huggingface.co/datasets/open-llm-leaderboard/details_huseyinatahaninan__phi-2-dpo/blob/main/results_2024-02-12T21-58-15.192256.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": 0.5870761708653485, "acc_stderr": 0.03369469581974977, "acc_norm": 0.5884353168964569, "acc_norm_stderr": 0.034381836157511524, "mc1": 0.3157894736842105, "mc1_stderr": 0.016272287957916912, "mc2": 0.45354154186159823, "mc2_stderr": 0.015221463708711597 }, "harness\|arc:challenge\|25": { "acc": 0.6040955631399317, "acc_stderr": 0.014291228393536588, "acc_norm": 0.6305460750853242, "acc_norm_stderr": 0.014104578366491897 }, "harness\|hellaswag\|10": { "acc": 0.5765783708424617, "acc_stderr": 0.004930911515084782, "acc_norm": 0.7635929097789285, "acc_norm_stderr": 0.004240066898702509 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness\|hendrycksTest-anatomy\|5": { "acc": 0.4444444444444444, "acc_stderr": 0.04292596718256981, "acc_norm": 0.4444444444444444, "acc_norm_stderr": 0.04292596718256981 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.5986842105263158, "acc_stderr": 0.039889037033362836, "acc_norm": 0.5986842105263158, "acc_norm_stderr": 0.039889037033362836 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.57, "acc_stderr": 0.04975698519562428, "acc_norm": 0.57, "acc_norm_stderr": 0.04975698519562428 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.6150943396226415, "acc_stderr": 0.02994649856769995, "acc_norm": 0.6150943396226415, "acc_norm_stderr": 0.02994649856769995 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.6805555555555556, "acc_stderr": 0.038990736873573344, "acc_norm": 0.6805555555555556, "acc_norm_stderr": 0.038990736873573344 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.39, "acc_stderr": 0.04902071300001975, "acc_norm": 0.39, "acc_norm_stderr": 0.04902071300001975 }, "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": 0.42, "acc_stderr": 0.04960449637488584, "acc_norm": 0.42, "acc_norm_stderr": 0.04960449637488584 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.5953757225433526, "acc_stderr": 0.03742461193887248, "acc_norm": 0.5953757225433526, "acc_norm_stderr": 0.03742461193887248 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.4215686274509804, "acc_stderr": 0.04913595201274498, "acc_norm": 0.4215686274509804, "acc_norm_stderr": 0.04913595201274498 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.73, "acc_stderr": 0.04461960433384739, "acc_norm": 0.73, "acc_norm_stderr": 0.04461960433384739 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.5106382978723404, "acc_stderr": 0.03267862331014063, "acc_norm": 0.5106382978723404, "acc_norm_stderr": 0.03267862331014063 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.3684210526315789, "acc_stderr": 0.04537815354939392, "acc_norm": 0.3684210526315789, "acc_norm_stderr": 0.04537815354939392 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.5517241379310345, "acc_stderr": 0.04144311810878152, "acc_norm": 0.5517241379310345, "acc_norm_stderr": 0.04144311810878152 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.46825396825396826, "acc_stderr": 0.025699352832131796, "acc_norm": 0.46825396825396826, "acc_norm_stderr": 0.025699352832131796 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.373015873015873, "acc_stderr": 0.04325506042017086, "acc_norm": 0.373015873015873, "acc_norm_stderr": 0.04325506042017086 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.35, "acc_stderr": 0.047937248544110196, "acc_norm": 0.35, "acc_norm_stderr": 0.047937248544110196 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.7096774193548387, "acc_stderr": 0.025822106119415898, "acc_norm": 0.7096774193548387, "acc_norm_stderr": 0.025822106119415898 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.4729064039408867, "acc_stderr": 0.03512819077876106, "acc_norm": 0.4729064039408867, "acc_norm_stderr": 0.03512819077876106 }, "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": 0.6787878787878788, "acc_stderr": 0.036462049632538115, "acc_norm": 0.6787878787878788, "acc_norm_stderr": 0.036462049632538115 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.7272727272727273, "acc_stderr": 0.03173071239071724, "acc_norm": 0.7272727272727273, "acc_norm_stderr": 0.03173071239071724 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.8031088082901554, "acc_stderr": 0.02869787397186067, "acc_norm": 0.8031088082901554, "acc_norm_stderr": 0.02869787397186067 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.5897435897435898, "acc_stderr": 0.024939313906940784, "acc_norm": 0.5897435897435898, "acc_norm_stderr": 0.024939313906940784 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.32222222222222224, "acc_stderr": 0.028493465091028597, "acc_norm": 0.32222222222222224, "acc_norm_stderr": 0.028493465091028597 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.592436974789916, "acc_stderr": 0.03191863374478465, "acc_norm": 0.592436974789916, "acc_norm_stderr": 0.03191863374478465 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.39072847682119205, "acc_stderr": 0.039837983066598075, "acc_norm": 0.39072847682119205, "acc_norm_stderr": 0.039837983066598075 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.8055045871559633, "acc_stderr": 0.01697028909045803, "acc_norm": 0.8055045871559633, "acc_norm_stderr": 0.01697028909045803 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.48148148148148145, "acc_stderr": 0.03407632093854052, "acc_norm": 0.48148148148148145, "acc_norm_stderr": 0.03407632093854052 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.6764705882352942, "acc_stderr": 0.03283472056108561, "acc_norm": 0.6764705882352942, "acc_norm_stderr": 0.03283472056108561 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.7468354430379747, "acc_stderr": 0.028304657943035296, "acc_norm": 0.7468354430379747, "acc_norm_stderr": 0.028304657943035296 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.6502242152466368, "acc_stderr": 0.03200736719484503, "acc_norm": 0.6502242152466368, "acc_norm_stderr": 0.03200736719484503 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.7175572519083969, "acc_stderr": 0.03948406125768361, "acc_norm": 0.7175572519083969, "acc_norm_stderr": 0.03948406125768361 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.7355371900826446, "acc_stderr": 0.040261875275912046, "acc_norm": 0.7355371900826446, "acc_norm_stderr": 0.040261875275912046 }, "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": 0.7607361963190185, "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": 0.7281553398058253, "acc_stderr": 0.044052680241409216, "acc_norm": 0.7281553398058253, "acc_norm_stderr": 0.044052680241409216 }, "harness\|hendrycksTest-marketing\|5": { "acc": 0.811965811965812, "acc_stderr": 0.025598193686652265, "acc_norm": 0.811965811965812, "acc_norm_stderr": 0.025598193686652265 }, "harness\|hendrycksTest-medical_genetics\|5": { "acc": 0.64, "acc_stderr": 0.04824181513244218, "acc_norm": 0.64, "acc_norm_stderr": 0.04824181513244218 }, "harness\|hendrycksTest-miscellaneous\|5": { "acc": 0.6781609195402298, "acc_stderr": 0.0167063814150579, "acc_norm": 0.6781609195402298, "acc_norm_stderr": 0.0167063814150579 }, "harness\|hendrycksTest-moral_disputes\|5": { "acc": 0.6676300578034682, "acc_stderr": 0.025361168749688228, "acc_norm": 0.6676300578034682, "acc_norm_stderr": 0.025361168749688228 }, "harness\|hendrycksTest-moral_scenarios\|5": { "acc": 0.24916201117318434, "acc_stderr": 0.014465893829859924, "acc_norm": 0.24916201117318434, "acc_norm_stderr": 0.014465893829859924 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.6372549019607843, "acc_stderr": 0.02753007844711031, "acc_norm": 0.6372549019607843, "acc_norm_stderr": 0.02753007844711031 }, "harness\|hendrycksTest-philosophy\|5": { "acc": 0.6366559485530546, "acc_stderr": 0.027316847674192703, "acc_norm": 0.6366559485530546, "acc_norm_stderr": 0.027316847674192703 }, "harness\|hendrycksTest-prehistory\|5": { "acc": 0.6265432098765432, "acc_stderr": 0.02691500301138016, "acc_norm": 0.6265432098765432, "acc_norm_stderr": 0.02691500301138016 }, "harness\|hendrycksTest-professional_accounting\|5": { "acc": 0.4326241134751773, "acc_stderr": 0.029555454236778852, "acc_norm": 0.4326241134751773, "acc_norm_stderr": 0.029555454236778852 }, "harness\|hendrycksTest-professional_law\|5": { "acc": 0.4217731421121252, "acc_stderr": 0.012612974369390973, "acc_norm": 0.4217731421121252, "acc_norm_stderr": 0.012612974369390973 }, "harness\|hendrycksTest-professional_medicine\|5": { "acc": 0.46691176470588236, "acc_stderr": 0.030306257722468314, "acc_norm": 0.46691176470588236, "acc_norm_stderr": 0.030306257722468314 }, "harness\|hendrycksTest-professional_psychology\|5": { "acc": 0.5637254901960784, "acc_stderr": 0.02006287424353913, "acc_norm": 0.5637254901960784, "acc_norm_stderr": 0.02006287424353913 }, "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": 0.710204081632653, "acc_stderr": 0.029043088683304328, "acc_norm": 0.710204081632653, "acc_norm_stderr": 0.029043088683304328 }, "harness\|hendrycksTest-sociology\|5": { "acc": 0.8059701492537313, "acc_stderr": 0.027962677604768924, "acc_norm": 0.8059701492537313, "acc_norm_stderr": 0.027962677604768924 }, "harness\|hendrycksTest-us_foreign_policy\|5": { "acc": 0.77, "acc_stderr": 0.042295258468165065, "acc_norm": 0.77, "acc_norm_stderr": 0.042295258468165065 }, "harness\|hendrycksTest-virology\|5": { "acc": 0.4759036144578313, "acc_stderr": 0.038879718495972646, "acc_norm": 0.4759036144578313, "acc_norm_stderr": 0.038879718495972646 }, "harness\|hendrycksTest-world_religions\|5": { "acc": 0.7076023391812866, "acc_stderr": 0.034886477134579215, "acc_norm": 0.7076023391812866, "acc_norm_stderr": 0.034886477134579215 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.3157894736842105, "mc1_stderr": 0.016272287957916912, "mc2": 0.45354154186159823, "mc2_stderr": 0.015221463708711597 }, "harness\|winogrande\|5": { "acc": 0.7403314917127072, "acc_stderr": 0.012322700705552667 }, "harness\|gsm8k\|5": { "acc": 0.5670962850644428, "acc_stderr": 0.013647916362576054 } } ``` ## 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. 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PeacefulData/HypoTranslate	--- license: apache-2.0 task_categories: - text-generation language: - en - zh - ja - fr - es - it - pt tags: - generative translation - large language model - LLaMA pretty_name: HypoTranslate size_categories: - 100K<n<1M --- This repo releases the HypoTranslate dataset in paper "GenTranslate: Large Language Models are Generative Multilingual Speech and Machine Translators". If you consider this work would be related or useful for your research, please kindly consider to cite the work below. Thank you. ```bib @article{hu2024gentranslate, title={GenTranslate: Large Language Models are Generative Multilingual Speech and Machine Translators}, author={Hu, Yuchen and Chen, Chen and Yang, Chao-Han Huck and Li, Ruizhe and Zhang, Dong and Chen, Zhehuai and Chng, Eng Siong}, journal={arXiv preprint arXiv:2402.06894}, year={2024} } ```
open-llm-leaderboard/details_perlthoughts__Chupacabra-8x7B-MoE	--- pretty_name: Evaluation run of perlthoughts/Chupacabra-8x7B-MoE dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [perlthoughts/Chupacabra-8x7B-MoE](https://huggingface.co/perlthoughts/Chupacabra-8x7B-MoE)\ \ 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_perlthoughts__Chupacabra-8x7B-MoE\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-12-16T21:20:16.522598](https://huggingface.co/datasets/open-llm-leaderboard/details_perlthoughts__Chupacabra-8x7B-MoE/blob/main/results_2023-12-16T21-20-16.522598.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\": 0.6415463145761969,\n\ \ \"acc_stderr\": 0.03233222952484684,\n \"acc_norm\": 0.6432118874966731,\n\ \ \"acc_norm_stderr\": 0.03298409149127022,\n \"mc1\": 0.47613219094247244,\n\ \ \"mc1_stderr\": 0.017483547156961578,\n \"mc2\": 0.6350369384683723,\n\ \ \"mc2_stderr\": 0.01508168993616602\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.6561433447098977,\n \"acc_stderr\": 0.01388064457015621,\n\ \ \"acc_norm\": 0.6877133105802048,\n \"acc_norm_stderr\": 0.013542598541688067\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.6757618004381597,\n\ \ \"acc_stderr\": 0.004671328673217797,\n \"acc_norm\": 0.8610834495120494,\n\ \ \"acc_norm_stderr\": 0.003451525868724678\n },\n \"harness\|hendrycksTest-abstract_algebra\|5\"\ : {\n \"acc\": 0.29,\n \"acc_stderr\": 0.04560480215720684,\n \ \ \"acc_norm\": 0.29,\n \"acc_norm_stderr\": 0.04560480215720684\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\": 0.62,\n\ \ \"acc_stderr\": 0.048783173121456316,\n \"acc_norm\": 0.62,\n \ \ \"acc_norm_stderr\": 0.048783173121456316\n },\n \"harness\|hendrycksTest-clinical_knowledge\|5\"\ : {\n \"acc\": 0.6830188679245283,\n \"acc_stderr\": 0.02863723563980089,\n\ \ \"acc_norm\": 0.6830188679245283,\n \"acc_norm_stderr\": 0.02863723563980089\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.7361111111111112,\n\ \ \"acc_stderr\": 0.03685651095897532,\n \"acc_norm\": 0.7361111111111112,\n\ \ \"acc_norm_stderr\": 0.03685651095897532\n },\n \"harness\|hendrycksTest-college_chemistry\|5\"\ : {\n \"acc\": 0.45,\n \"acc_stderr\": 0.05,\n \"acc_norm\"\ : 0.45,\n \"acc_norm_stderr\": 0.05\n },\n \"harness\|hendrycksTest-college_computer_science\|5\"\ : {\n \"acc\": 0.56,\n \"acc_stderr\": 0.04988876515698589,\n \ \ \"acc_norm\": 0.56,\n \"acc_norm_stderr\": 0.04988876515698589\n \ \ },\n \"harness\|hendrycksTest-college_mathematics\|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-college_medicine\|5\"\ : {\n \"acc\": 0.653179190751445,\n \"acc_stderr\": 0.036291466701596636,\n\ \ \"acc_norm\": 0.653179190751445,\n \"acc_norm_stderr\": 0.036291466701596636\n\ \ },\n \"harness\|hendrycksTest-college_physics\|5\": {\n \"acc\": 0.39215686274509803,\n\ \ \"acc_stderr\": 0.04858083574266345,\n \"acc_norm\": 0.39215686274509803,\n\ \ \"acc_norm_stderr\": 0.04858083574266345\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\": 0.6,\n\ \ \"acc_stderr\": 0.03202563076101735,\n \"acc_norm\": 0.6,\n \ \ \"acc_norm_stderr\": 0.03202563076101735\n },\n \"harness\|hendrycksTest-econometrics\|5\"\ : {\n \"acc\": 0.45614035087719296,\n \"acc_stderr\": 0.046854730419077895,\n\ \ \"acc_norm\": 0.45614035087719296,\n \"acc_norm_stderr\": 0.046854730419077895\n\ \ },\n \"harness\|hendrycksTest-electrical_engineering\|5\": {\n \"acc\"\ : 0.5586206896551724,\n \"acc_stderr\": 0.04137931034482757,\n \"\ acc_norm\": 0.5586206896551724,\n \"acc_norm_stderr\": 0.04137931034482757\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.41534391534391535,\n \"acc_stderr\": 0.025379524910778408,\n \"\ acc_norm\": 0.41534391534391535,\n \"acc_norm_stderr\": 0.025379524910778408\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\": 0.39,\n \"acc_stderr\": 0.04902071300001974,\n \ \ \"acc_norm\": 0.39,\n \"acc_norm_stderr\": 0.04902071300001974\n \ \ },\n \"harness\|hendrycksTest-high_school_biology\|5\": {\n \"acc\": 0.7612903225806451,\n\ \ \"acc_stderr\": 0.02425107126220884,\n \"acc_norm\": 0.7612903225806451,\n\ \ \"acc_norm_stderr\": 0.02425107126220884\n },\n \"harness\|hendrycksTest-high_school_chemistry\|5\"\ : {\n \"acc\": 0.49261083743842365,\n \"acc_stderr\": 0.035176035403610084,\n\ \ \"acc_norm\": 0.49261083743842365,\n \"acc_norm_stderr\": 0.035176035403610084\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|5\": {\n \ \ \"acc\": 0.74,\n \"acc_stderr\": 0.044084400227680794,\n \"acc_norm\"\ : 0.74,\n \"acc_norm_stderr\": 0.044084400227680794\n },\n \"harness\|hendrycksTest-high_school_european_history\|5\"\ : {\n \"acc\": 0.7757575757575758,\n \"acc_stderr\": 0.032568666616811015,\n\ \ \"acc_norm\": 0.7757575757575758,\n \"acc_norm_stderr\": 0.032568666616811015\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.7878787878787878,\n \"acc_stderr\": 0.029126522834586815,\n \"\ acc_norm\": 0.7878787878787878,\n \"acc_norm_stderr\": 0.029126522834586815\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.8652849740932642,\n \"acc_stderr\": 0.02463978909770944,\n\ \ \"acc_norm\": 0.8652849740932642,\n \"acc_norm_stderr\": 0.02463978909770944\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.6794871794871795,\n \"acc_stderr\": 0.023661296393964273,\n\ \ \"acc_norm\": 0.6794871794871795,\n \"acc_norm_stderr\": 0.023661296393964273\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.32592592592592595,\n \"acc_stderr\": 0.028578348365473082,\n \ \ \"acc_norm\": 0.32592592592592595,\n \"acc_norm_stderr\": 0.028578348365473082\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.7016806722689075,\n \"acc_stderr\": 0.02971914287634286,\n \ \ \"acc_norm\": 0.7016806722689075,\n \"acc_norm_stderr\": 0.02971914287634286\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.31788079470198677,\n \"acc_stderr\": 0.038020397601079024,\n \"\ acc_norm\": 0.31788079470198677,\n \"acc_norm_stderr\": 0.038020397601079024\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\"\ : 0.5509259259259259,\n \"acc_stderr\": 0.03392238405321617,\n \"\ acc_norm\": 0.5509259259259259,\n \"acc_norm_stderr\": 0.03392238405321617\n\ \ },\n \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\"\ : 0.8137254901960784,\n \"acc_stderr\": 0.027325470966716312,\n \"\ acc_norm\": 0.8137254901960784,\n \"acc_norm_stderr\": 0.027325470966716312\n\ \ },\n \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"\ acc\": 0.7848101265822784,\n \"acc_stderr\": 0.026750826994676177,\n \ \ \"acc_norm\": 0.7848101265822784,\n \"acc_norm_stderr\": 0.026750826994676177\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\": 0.7633587786259542,\n \"acc_stderr\": 0.03727673575596913,\n\ \ \"acc_norm\": 0.7633587786259542,\n \"acc_norm_stderr\": 0.03727673575596913\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.7768595041322314,\n \"acc_stderr\": 0.03800754475228733,\n \"\ acc_norm\": 0.7768595041322314,\n \"acc_norm_stderr\": 0.03800754475228733\n\ \ },\n \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.7777777777777778,\n\ \ \"acc_stderr\": 0.040191074725573483,\n \"acc_norm\": 0.7777777777777778,\n\ \ \"acc_norm_stderr\": 0.040191074725573483\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\": 0.45535714285714285,\n\ \ \"acc_stderr\": 0.047268355537191,\n \"acc_norm\": 0.45535714285714285,\n\ \ \"acc_norm_stderr\": 0.047268355537191\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.7961165048543689,\n \"acc_stderr\": 0.0398913985953177,\n\ \ \"acc_norm\": 0.7961165048543689,\n \"acc_norm_stderr\": 0.0398913985953177\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.8675213675213675,\n\ \ \"acc_stderr\": 0.022209309073165616,\n \"acc_norm\": 0.8675213675213675,\n\ \ \"acc_norm_stderr\": 0.022209309073165616\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\": 0.822477650063857,\n\ \ \"acc_stderr\": 0.01366423099583483,\n \"acc_norm\": 0.822477650063857,\n\ \ \"acc_norm_stderr\": 0.01366423099583483\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.7312138728323699,\n \"acc_stderr\": 0.023868003262500104,\n\ \ \"acc_norm\": 0.7312138728323699,\n \"acc_norm_stderr\": 0.023868003262500104\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.4033519553072626,\n\ \ \"acc_stderr\": 0.01640712303219525,\n \"acc_norm\": 0.4033519553072626,\n\ \ \"acc_norm_stderr\": 0.01640712303219525\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.696078431372549,\n \"acc_stderr\": 0.026336613469046623,\n\ \ \"acc_norm\": 0.696078431372549,\n \"acc_norm_stderr\": 0.026336613469046623\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.7138263665594855,\n\ \ \"acc_stderr\": 0.02567025924218893,\n \"acc_norm\": 0.7138263665594855,\n\ \ \"acc_norm_stderr\": 0.02567025924218893\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.7376543209876543,\n \"acc_stderr\": 0.02447722285613511,\n\ \ \"acc_norm\": 0.7376543209876543,\n \"acc_norm_stderr\": 0.02447722285613511\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.4858156028368794,\n \"acc_stderr\": 0.02981549448368206,\n \ \ \"acc_norm\": 0.4858156028368794,\n \"acc_norm_stderr\": 0.02981549448368206\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.4589308996088657,\n\ \ \"acc_stderr\": 0.012727084826799802,\n \"acc_norm\": 0.4589308996088657,\n\ \ \"acc_norm_stderr\": 0.012727084826799802\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.6727941176470589,\n \"acc_stderr\": 0.028501452860396556,\n\ \ \"acc_norm\": 0.6727941176470589,\n \"acc_norm_stderr\": 0.028501452860396556\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.6584967320261438,\n \"acc_stderr\": 0.019184639328092487,\n \ \ \"acc_norm\": 0.6584967320261438,\n \"acc_norm_stderr\": 0.019184639328092487\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\": 0.7020408163265306,\n \"acc_stderr\": 0.029279567411065677,\n\ \ \"acc_norm\": 0.7020408163265306,\n \"acc_norm_stderr\": 0.029279567411065677\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.8407960199004975,\n\ \ \"acc_stderr\": 0.02587064676616914,\n \"acc_norm\": 0.8407960199004975,\n\ \ \"acc_norm_stderr\": 0.02587064676616914\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.84,\n \"acc_stderr\": 0.03684529491774709,\n \ \ \"acc_norm\": 0.84,\n \"acc_norm_stderr\": 0.03684529491774709\n \ \ },\n \"harness\|hendrycksTest-virology\|5\": {\n \"acc\": 0.5180722891566265,\n\ \ \"acc_stderr\": 0.03889951252827216,\n \"acc_norm\": 0.5180722891566265,\n\ \ \"acc_norm_stderr\": 0.03889951252827216\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.8187134502923976,\n \"acc_stderr\": 0.02954774168764004,\n\ \ \"acc_norm\": 0.8187134502923976,\n \"acc_norm_stderr\": 0.02954774168764004\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.47613219094247244,\n\ \ \"mc1_stderr\": 0.017483547156961578,\n \"mc2\": 0.6350369384683723,\n\ \ \"mc2_stderr\": 0.01508168993616602\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.8050513022888713,\n \"acc_stderr\": 0.011134099415938278\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.5966641394996209,\n \ \ \"acc_stderr\": 0.013512654781814706\n }\n}\n```" repo_url: https://huggingface.co/perlthoughts/Chupacabra-8x7B-MoE 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_16T21_20_16.522598 path: - '/details_harness\|arc:challenge\|25_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-12-16T21-20-16.522598.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '/details_harness\|gsm8k\|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_12_16T21_20_16.522598 path: - '/details_harness\|hellaswag\|10_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-12-16T21-20-16.522598.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '/details_harness\|hendrycksTest-management\|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '/details_harness\|hendrycksTest-virology\|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_12_16T21_20_16.522598 path: - '/details_harness\|truthfulqa:mc\|0_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-12-16T21-20-16.522598.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '/details_harness\|winogrande\|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-12-16T21-20-16.522598.parquet' - config_name: results data_files: - split: 2023_12_16T21_20_16.522598 path: - results_2023-12-16T21-20-16.522598.parquet - split: latest path: - results_2023-12-16T21-20-16.522598.parquet --- # Dataset Card for Evaluation run of perlthoughts/Chupacabra-8x7B-MoE <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [perlthoughts/Chupacabra-8x7B-MoE](https://huggingface.co/perlthoughts/Chupacabra-8x7B-MoE) 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_perlthoughts__Chupacabra-8x7B-MoE", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-12-16T21:20:16.522598](https://huggingface.co/datasets/open-llm-leaderboard/details_perlthoughts__Chupacabra-8x7B-MoE/blob/main/results_2023-12-16T21-20-16.522598.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": 0.6415463145761969, "acc_stderr": 0.03233222952484684, "acc_norm": 0.6432118874966731, "acc_norm_stderr": 0.03298409149127022, "mc1": 0.47613219094247244, "mc1_stderr": 0.017483547156961578, "mc2": 0.6350369384683723, "mc2_stderr": 0.01508168993616602 }, "harness\|arc:challenge\|25": { "acc": 0.6561433447098977, "acc_stderr": 0.01388064457015621, "acc_norm": 0.6877133105802048, "acc_norm_stderr": 0.013542598541688067 }, "harness\|hellaswag\|10": { "acc": 0.6757618004381597, "acc_stderr": 0.004671328673217797, "acc_norm": 0.8610834495120494, "acc_norm_stderr": 0.003451525868724678 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.29, "acc_stderr": 0.04560480215720684, "acc_norm": 0.29, "acc_norm_stderr": 0.04560480215720684 }, "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": 0.62, "acc_stderr": 0.048783173121456316, "acc_norm": 0.62, "acc_norm_stderr": 0.048783173121456316 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.6830188679245283, "acc_stderr": 0.02863723563980089, "acc_norm": 0.6830188679245283, "acc_norm_stderr": 0.02863723563980089 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.7361111111111112, "acc_stderr": 0.03685651095897532, "acc_norm": 0.7361111111111112, "acc_norm_stderr": 0.03685651095897532 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.45, "acc_stderr": 0.05, "acc_norm": 0.45, "acc_norm_stderr": 0.05 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.56, "acc_stderr": 0.04988876515698589, "acc_norm": 0.56, "acc_norm_stderr": 0.04988876515698589 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.32, "acc_stderr": 0.046882617226215034, "acc_norm": 0.32, "acc_norm_stderr": 0.046882617226215034 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.653179190751445, "acc_stderr": 0.036291466701596636, "acc_norm": 0.653179190751445, "acc_norm_stderr": 0.036291466701596636 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.39215686274509803, "acc_stderr": 0.04858083574266345, "acc_norm": 0.39215686274509803, "acc_norm_stderr": 0.04858083574266345 }, "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": 0.6, "acc_stderr": 0.03202563076101735, "acc_norm": 0.6, "acc_norm_stderr": 0.03202563076101735 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.45614035087719296, "acc_stderr": 0.046854730419077895, "acc_norm": 0.45614035087719296, "acc_norm_stderr": 0.046854730419077895 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.5586206896551724, "acc_stderr": 0.04137931034482757, "acc_norm": 0.5586206896551724, "acc_norm_stderr": 0.04137931034482757 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.41534391534391535, "acc_stderr": 0.025379524910778408, "acc_norm": 0.41534391534391535, "acc_norm_stderr": 0.025379524910778408 }, "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": 0.39, "acc_stderr": 0.04902071300001974, "acc_norm": 0.39, "acc_norm_stderr": 0.04902071300001974 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.7612903225806451, "acc_stderr": 0.02425107126220884, "acc_norm": 0.7612903225806451, "acc_norm_stderr": 0.02425107126220884 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.49261083743842365, "acc_stderr": 0.035176035403610084, "acc_norm": 0.49261083743842365, "acc_norm_stderr": 0.035176035403610084 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.74, "acc_stderr": 0.044084400227680794, "acc_norm": 0.74, "acc_norm_stderr": 0.044084400227680794 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.7757575757575758, "acc_stderr": 0.032568666616811015, "acc_norm": 0.7757575757575758, "acc_norm_stderr": 0.032568666616811015 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.7878787878787878, "acc_stderr": 0.029126522834586815, "acc_norm": 0.7878787878787878, "acc_norm_stderr": 0.029126522834586815 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.8652849740932642, "acc_stderr": 0.02463978909770944, "acc_norm": 0.8652849740932642, "acc_norm_stderr": 0.02463978909770944 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.6794871794871795, "acc_stderr": 0.023661296393964273, "acc_norm": 0.6794871794871795, "acc_norm_stderr": 0.023661296393964273 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.32592592592592595, "acc_stderr": 0.028578348365473082, "acc_norm": 0.32592592592592595, "acc_norm_stderr": 0.028578348365473082 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.7016806722689075, "acc_stderr": 0.02971914287634286, "acc_norm": 0.7016806722689075, "acc_norm_stderr": 0.02971914287634286 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.31788079470198677, "acc_stderr": 0.038020397601079024, "acc_norm": 0.31788079470198677, "acc_norm_stderr": 0.038020397601079024 }, "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": 0.5509259259259259, "acc_stderr": 0.03392238405321617, "acc_norm": 0.5509259259259259, "acc_norm_stderr": 0.03392238405321617 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.8137254901960784, "acc_stderr": 0.027325470966716312, "acc_norm": 0.8137254901960784, "acc_norm_stderr": 0.027325470966716312 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.7848101265822784, "acc_stderr": 0.026750826994676177, "acc_norm": 0.7848101265822784, "acc_norm_stderr": 0.026750826994676177 }, "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": 0.7633587786259542, "acc_stderr": 0.03727673575596913, "acc_norm": 0.7633587786259542, "acc_norm_stderr": 0.03727673575596913 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.7768595041322314, "acc_stderr": 0.03800754475228733, "acc_norm": 0.7768595041322314, "acc_norm_stderr": 0.03800754475228733 }, "harness\|hendrycksTest-jurisprudence\|5": { "acc": 0.7777777777777778, "acc_stderr": 0.040191074725573483, "acc_norm": 0.7777777777777778, "acc_norm_stderr": 0.040191074725573483 }, "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": 0.45535714285714285, "acc_stderr": 0.047268355537191, "acc_norm": 0.45535714285714285, "acc_norm_stderr": 0.047268355537191 }, "harness\|hendrycksTest-management\|5": { "acc": 0.7961165048543689, "acc_stderr": 0.0398913985953177, "acc_norm": 0.7961165048543689, "acc_norm_stderr": 0.0398913985953177 }, "harness\|hendrycksTest-marketing\|5": { "acc": 0.8675213675213675, "acc_stderr": 0.022209309073165616, "acc_norm": 0.8675213675213675, "acc_norm_stderr": 0.022209309073165616 }, "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": 0.822477650063857, "acc_stderr": 0.01366423099583483, "acc_norm": 0.822477650063857, "acc_norm_stderr": 0.01366423099583483 }, "harness\|hendrycksTest-moral_disputes\|5": { "acc": 0.7312138728323699, "acc_stderr": 0.023868003262500104, "acc_norm": 0.7312138728323699, "acc_norm_stderr": 0.023868003262500104 }, "harness\|hendrycksTest-moral_scenarios\|5": { "acc": 0.4033519553072626, "acc_stderr": 0.01640712303219525, "acc_norm": 0.4033519553072626, "acc_norm_stderr": 0.01640712303219525 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.696078431372549, "acc_stderr": 0.026336613469046623, "acc_norm": 0.696078431372549, "acc_norm_stderr": 0.026336613469046623 }, "harness\|hendrycksTest-philosophy\|5": { "acc": 0.7138263665594855, "acc_stderr": 0.02567025924218893, "acc_norm": 0.7138263665594855, "acc_norm_stderr": 0.02567025924218893 }, "harness\|hendrycksTest-prehistory\|5": { "acc": 0.7376543209876543, "acc_stderr": 0.02447722285613511, "acc_norm": 0.7376543209876543, "acc_norm_stderr": 0.02447722285613511 }, "harness\|hendrycksTest-professional_accounting\|5": { "acc": 0.4858156028368794, "acc_stderr": 0.02981549448368206, "acc_norm": 0.4858156028368794, "acc_norm_stderr": 0.02981549448368206 }, "harness\|hendrycksTest-professional_law\|5": { "acc": 0.4589308996088657, "acc_stderr": 0.012727084826799802, "acc_norm": 0.4589308996088657, "acc_norm_stderr": 0.012727084826799802 }, "harness\|hendrycksTest-professional_medicine\|5": { "acc": 0.6727941176470589, "acc_stderr": 0.028501452860396556, "acc_norm": 0.6727941176470589, "acc_norm_stderr": 0.028501452860396556 }, "harness\|hendrycksTest-professional_psychology\|5": { "acc": 0.6584967320261438, "acc_stderr": 0.019184639328092487, "acc_norm": 0.6584967320261438, "acc_norm_stderr": 0.019184639328092487 }, "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": 0.7020408163265306, "acc_stderr": 0.029279567411065677, "acc_norm": 0.7020408163265306, "acc_norm_stderr": 0.029279567411065677 }, "harness\|hendrycksTest-sociology\|5": { "acc": 0.8407960199004975, "acc_stderr": 0.02587064676616914, "acc_norm": 0.8407960199004975, "acc_norm_stderr": 0.02587064676616914 }, "harness\|hendrycksTest-us_foreign_policy\|5": { "acc": 0.84, "acc_stderr": 0.03684529491774709, "acc_norm": 0.84, "acc_norm_stderr": 0.03684529491774709 }, "harness\|hendrycksTest-virology\|5": { "acc": 0.5180722891566265, "acc_stderr": 0.03889951252827216, "acc_norm": 0.5180722891566265, "acc_norm_stderr": 0.03889951252827216 }, "harness\|hendrycksTest-world_religions\|5": { "acc": 0.8187134502923976, "acc_stderr": 0.02954774168764004, "acc_norm": 0.8187134502923976, "acc_norm_stderr": 0.02954774168764004 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.47613219094247244, "mc1_stderr": 0.017483547156961578, "mc2": 0.6350369384683723, "mc2_stderr": 0.01508168993616602 }, "harness\|winogrande\|5": { "acc": 0.8050513022888713, "acc_stderr": 0.011134099415938278 }, "harness\|gsm8k\|5": { "acc": 0.5966641394996209, "acc_stderr": 0.013512654781814706 } } ``` ## 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 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data selection criteria, filtering and normalization methods, tools and libraries used, etc. --> [More Information Needed] #### Who are the source data producers? <!-- This section describes the people or systems who originally created the data. 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zolak/twitter_dataset_50_1713135229	--- 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: 468988 num_examples: 1125 download_size: 245051 dataset_size: 468988 configs: - config_name: default data_files: - split: train path: data/train-* ---
lilacai/lilac-OpenHermes-2.5	--- tags: - Lilac --- # lilac/OpenHermes-2.5 This dataset is a [Lilac](http://lilacml.com) processed dataset. Original dataset: [https://huggingface.co/datasets/teknium/OpenHermes-2.5](https://huggingface.co/datasets/teknium/OpenHermes-2.5) To download the dataset to a local directory: ```bash lilac download lilacai/lilac-OpenHermes-2.5 ``` or from python with: ```py ll.download("lilacai/lilac-OpenHermes-2.5") ```
open-llm-leaderboard/details_Aspik101__llama-30b-2048-instruct-PL-lora_unload	--- pretty_name: Evaluation run of Aspik101/llama-30b-2048-instruct-PL-lora_unload dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [Aspik101/llama-30b-2048-instruct-PL-lora_unload](https://huggingface.co/Aspik101/llama-30b-2048-instruct-PL-lora_unload)\ \ 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_Aspik101__llama-30b-2048-instruct-PL-lora_unload\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-09-23T16:55:26.750337](https://huggingface.co/datasets/open-llm-leaderboard/details_Aspik101__llama-30b-2048-instruct-PL-lora_unload/blob/main/results_2023-09-23T16-55-26.750337.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\": 0.006396812080536913,\n\ \ \"em_stderr\": 0.0008164468837432337,\n \"f1\": 0.09082529362416124,\n\ \ \"f1_stderr\": 0.00181131297042163,\n \"acc\": 0.48843566764183,\n\ \ \"acc_stderr\": 0.010921337573474368\n },\n \"harness\|drop\|3\": {\n\ \ \"em\": 0.006396812080536913,\n \"em_stderr\": 0.0008164468837432337,\n\ \ \"f1\": 0.09082529362416124,\n \"f1_stderr\": 0.00181131297042163\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.17892342683851403,\n \ \ \"acc_stderr\": 0.010557661392901289\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.797947908445146,\n \"acc_stderr\": 0.011285013754047448\n\ \ }\n}\n```" repo_url: https://huggingface.co/Aspik101/llama-30b-2048-instruct-PL-lora_unload 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_09T15_59_52.848491 path: - '/details_harness\|arc:challenge\|25_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-08-09T15:59:52.848491.parquet' - config_name: harness_drop_3 data_files: - split: 2023_09_23T16_55_26.750337 path: - '/details_harness\|drop\|3_2023-09-23T16-55-26.750337.parquet' - split: latest path: - '/details_harness\|drop\|3_2023-09-23T16-55-26.750337.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_09_23T16_55_26.750337 path: - '/details_harness\|gsm8k\|5_2023-09-23T16-55-26.750337.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-09-23T16-55-26.750337.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_08_09T15_59_52.848491 path: - '/details_harness\|hellaswag\|10_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-08-09T15:59:52.848491.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '/details_harness\|hendrycksTest-management\|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '/details_harness\|hendrycksTest-virology\|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_08_09T15_59_52.848491 path: - '/details_harness\|truthfulqa:mc\|0_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-08-09T15:59:52.848491.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_09_23T16_55_26.750337 path: - '/details_harness\|winogrande\|5_2023-09-23T16-55-26.750337.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-09-23T16-55-26.750337.parquet' - config_name: results data_files: - split: 2023_08_09T15_59_52.848491 path: - results_2023-08-09T15:59:52.848491.parquet - split: 2023_09_23T16_55_26.750337 path: - results_2023-09-23T16-55-26.750337.parquet - split: latest path: - results_2023-09-23T16-55-26.750337.parquet --- # Dataset Card for Evaluation run of Aspik101/llama-30b-2048-instruct-PL-lora_unload ## Dataset Description - Homepage: - Repository: https://huggingface.co/Aspik101/llama-30b-2048-instruct-PL-lora_unload - 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 [Aspik101/llama-30b-2048-instruct-PL-lora_unload](https://huggingface.co/Aspik101/llama-30b-2048-instruct-PL-lora_unload) 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_Aspik101__llama-30b-2048-instruct-PL-lora_unload", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-09-23T16:55:26.750337](https://huggingface.co/datasets/open-llm-leaderboard/details_Aspik101__llama-30b-2048-instruct-PL-lora_unload/blob/main/results_2023-09-23T16-55-26.750337.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": 0.006396812080536913, "em_stderr": 0.0008164468837432337, "f1": 0.09082529362416124, "f1_stderr": 0.00181131297042163, "acc": 0.48843566764183, "acc_stderr": 0.010921337573474368 }, "harness\|drop\|3": { "em": 0.006396812080536913, "em_stderr": 0.0008164468837432337, "f1": 0.09082529362416124, "f1_stderr": 0.00181131297042163 }, "harness\|gsm8k\|5": { "acc": 0.17892342683851403, "acc_stderr": 0.010557661392901289 }, "harness\|winogrande\|5": { "acc": 0.797947908445146, "acc_stderr": 0.011285013754047448 } } ``` ### 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]
smanna/indian_constitution_data	--- dataset_info: features: - name: input dtype: string - name: output dtype: string splits: - name: train num_bytes: 1765635 num_examples: 6510 download_size: 697957 dataset_size: 1765635 configs: - config_name: default data_files: - split: train path: data/train-* task_categories: - table-question-answering - question-answering - text-generation - fill-mask - feature-extraction language: - en tags: - legal pretty_name: complex_const ---
aviroes/above_70yo_elderly_people_other_dataset	--- configs: - config_name: default data_files: - split: other path: data/other-* dataset_info: features: - name: client_id dtype: string - name: path dtype: string - name: audio dtype: audio: sampling_rate: 48000 - name: sentence dtype: string - name: up_votes dtype: int64 - name: down_votes dtype: int64 - name: age dtype: string - name: gender dtype: string - name: accent dtype: string - name: locale dtype: string - name: segment dtype: string splits: - name: other num_bytes: 116941.34140285537 num_examples: 2 download_size: 124504 dataset_size: 116941.34140285537 --- # Dataset Card for "above_70yo_elderly_people_other_dataset" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
ibranze/araproje_hellaswag_en_conf_gpt_bestscore_reversed	--- dataset_info: features: - name: ind dtype: int32 - name: activity_label dtype: string - name: ctx_a dtype: string - name: ctx_b dtype: string - name: ctx dtype: string - name: endings sequence: string - name: source_id dtype: string - name: split dtype: string - name: split_type dtype: string - name: label dtype: string splits: - name: validation num_bytes: 149738.0 num_examples: 250 download_size: 81196 dataset_size: 149738.0 configs: - config_name: default data_files: - split: validation path: data/validation-* --- # Dataset Card for "araproje_hellaswag_en_conf_gpt_bestscore_reversed" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
DeCoders/Doctor_mini	--- license: llama2 ---
shibing624/alpaca-zh	--- dataset_info: features: - name: instruction dtype: string - name: input dtype: string - name: output dtype: string splits: - name: train num_bytes: 32150579 num_examples: 48818 download_size: 35100559 dataset_size: 32150579 license: cc-by-4.0 language: - zh pretty_name: Instruction Tuning with GPT-4 size_categories: - 10K<n<100K task_categories: - text-generation tags: - gpt - alpaca - fine-tune - instruct-tune - instruction --- # Dataset Description - Project Page: https://instruction-tuning-with-gpt-4.github.io - Repo: https://github.com/Instruction-Tuning-with-GPT-4/GPT-4-LLM - Paper: https://arxiv.org/abs/2304.03277 # Dataset Card for "alpaca-zh" 本数据集是参考Alpaca方法基于GPT4得到的self-instruct数据，约5万条。 Dataset from https://github.com/Instruction-Tuning-with-GPT-4/GPT-4-LLM It is the chinese dataset from https://github.com/Instruction-Tuning-with-GPT-4/GPT-4-LLM/blob/main/data/alpaca_gpt4_data_zh.json # Usage and License Notices The data is intended and licensed for research use only. The dataset is CC BY NC 4.0 (allowing only non-commercial use) and models trained using the dataset should not be used outside of research purposes. train model with alpaca-zh dataset: https://github.com/shibing624/textgen # English Dataset [Found here](https://huggingface.co/datasets/c-s-ale/alpaca-gpt4-data) # Citation ``` @article{peng2023gpt4llm, title={Instruction Tuning with GPT-4}, author={Baolin Peng, Chunyuan Li, Pengcheng He, Michel Galley, Jianfeng Gao}, journal={arXiv preprint arXiv:2304.03277}, year={2023} } ```
Rahulrayudu/Farm_QA_Dataset_inst	--- dataset_info: features: - name: Crop dtype: string - name: Label dtype: string - name: Question dtype: string - name: Answer dtype: string - name: instruction dtype: string splits: - name: train num_bytes: 629733 num_examples: 839 download_size: 254469 dataset_size: 629733 configs: - config_name: default data_files: - split: train path: data/train-* ---
Thefoodprocessor/recipes	--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: recipe dtype: string splits: - name: train num_bytes: 105767040 num_examples: 74465 download_size: 53711472 dataset_size: 105767040 --- # Dataset Card for "recipes" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
chungimungi/pubmed	--- task_categories: - text-classification - table-question-answering - token-classification - question-answering - zero-shot-classification - feature-extraction - text-generation - text2text-generation - sentence-similarity language: - en tags: - medical pretty_name: 'y' --- # PubMed dataset in raw XML. ## Dataset Description - Homepage: - Repository: - Paper: - Leaderboard: - Point of Contact: ### Dataset Summary Once a year, NLM produces a baseline set of PubMed citation records in XML format for download; the baseline file is a complete snapshot of PubMed data. When using this data in a local database, the best practice is to overwrite your local data each year with the baseline data. ## Dataset Structure XML ### Source Data https://ftp.ncbi.nlm.nih.gov/pubmed/baseline/
CyberHarem/usami_sumireko_touhou	--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of usami_sumireko/宇佐見菫子 (Touhou) This is the dataset of usami_sumireko/宇佐見菫子 (Touhou), containing 500 images and their tags. The core tags of this character are `brown_hair, glasses, brown_eyes, red-framed_eyewear, hat, twintails, bow, low_twintails, short_hair, hat_bow, semi-rimless_eyewear, under-rim_eyewear, black_headwear, bangs`, 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 \| 563.85 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/usami_sumireko_touhou/resolve/main/dataset-raw.zip) \| Waifuc-Raw \| Raw data with meta information (min edge aligned to 1400 if larger). \| \| 800 \| 500 \| 360.44 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/usami_sumireko_touhou/resolve/main/dataset-800.zip) \| IMG+TXT \| dataset with the shorter side not exceeding 800 pixels. \| \| stage3-p480-800 \| 1103 \| 720.48 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/usami_sumireko_touhou/resolve/main/dataset-stage3-p480-800.zip) \| IMG+TXT \| 3-stage cropped dataset with the area not less than 480x480 pixels. \| \| 1200 \| 500 \| 512.94 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/usami_sumireko_touhou/resolve/main/dataset-1200.zip) \| IMG+TXT \| dataset with the shorter side not exceeding 1200 pixels. \| \| stage3-p480-1200 \| 1103 \| 955.34 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/usami_sumireko_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/usami_sumireko_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 \| 14 \| ![](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, nipples, solo, blush, looking_at_viewer, large_breasts, sweat, navel, open_mouth, smile, no_bra, open_shirt, plaid, simple_background, skirt, underwear \| \| 1 \| 12 \| ![](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, cape, clothes_writing, plaid, skirt, smile, solo, shirt, long_sleeves, open_mouth, school_uniform, looking_at_viewer, gloves \| \| 2 \| 16 \| ![](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, long_sleeves, plaid_skirt, plaid_vest, solo, purple_skirt, smile, looking_at_viewer, purple_vest, shoes, white_socks, full_body, kneehighs, cloak, runes, white_gloves, white_shirt, black_footwear, clothes_writing, black_cape, closed_mouth, open_mouth, white_bow, card \| ### Table Version \| # \| Samples \| Img-1 \| Img-2 \| Img-3 \| Img-4 \| Img-5 \| 1girl \| nipples \| solo \| blush \| looking_at_viewer \| large_breasts \| sweat \| navel \| open_mouth \| smile \| no_bra \| open_shirt \| plaid \| simple_background \| skirt \| underwear \| cape \| clothes_writing \| shirt \| long_sleeves \| school_uniform \| gloves \| plaid_skirt \| plaid_vest \| purple_skirt \| purple_vest \| shoes \| white_socks \| full_body \| kneehighs \| cloak \| runes \| white_gloves \| white_shirt \| black_footwear \| black_cape \| closed_mouth \| white_bow \| card \| \|----:\|----------:\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------\|:----------\|:-------\|:--------\|:--------------------\|:----------------\|:--------\|:--------\|:-------------\|:--------\|:---------\|:-------------\|:--------\|:--------------------\|:--------\|:------------\|:-------\|:------------------\|:--------\|:---------------\|:-----------------\|:---------\|:--------------\|:-------------\|:---------------\|:--------------\|:--------\|:--------------\|:------------\|:------------\|:--------\|:--------\|:---------------\|:--------------\|:-----------------\|:-------------\|:---------------\|:------------\|:-------\| \| 0 \| 14 \| ![](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 \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 1 \| 12 \| ![](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 \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 2 \| 16 \| ![](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 \| X \| X \| X \| X \|
CyberHarem/webley_girlsfrontline	--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of webley/ウェブリー/韦伯利 (Girls' Frontline) This is the dataset of webley/ウェブリー/韦伯利 (Girls' Frontline), containing 32 images and their tags. The core tags of this character are `blue_eyes, bangs, brown_hair, ribbon, short_hair, bow, hair_between_eyes, hair_bow, 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 \| 32 \| 46.72 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/webley_girlsfrontline/resolve/main/dataset-raw.zip) \| Waifuc-Raw \| Raw data with meta information (min edge aligned to 1400 if larger). \| \| 800 \| 32 \| 24.04 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/webley_girlsfrontline/resolve/main/dataset-800.zip) \| IMG+TXT \| dataset with the shorter side not exceeding 800 pixels. \| \| stage3-p480-800 \| 79 \| 51.34 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/webley_girlsfrontline/resolve/main/dataset-stage3-p480-800.zip) \| IMG+TXT \| 3-stage cropped dataset with the area not less than 480x480 pixels. \| \| 1200 \| 32 \| 39.60 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/webley_girlsfrontline/resolve/main/dataset-1200.zip) \| IMG+TXT \| dataset with the shorter side not exceeding 1200 pixels. \| \| stage3-p480-1200 \| 79 \| 75.11 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/webley_girlsfrontline/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/webley_girlsfrontline', 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 \| 32 \| ![](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, solo, long_sleeves, blush, red_cape, epaulettes, frills, handgun, closed_mouth, holding_gun, revolver, simple_background, white_dress, white_background, white_pantyhose \| ### Table Version \| # \| Samples \| Img-1 \| Img-2 \| Img-3 \| Img-4 \| Img-5 \| 1girl \| looking_at_viewer \| solo \| long_sleeves \| blush \| red_cape \| epaulettes \| frills \| handgun \| closed_mouth \| holding_gun \| revolver \| simple_background \| white_dress \| white_background \| white_pantyhose \| \|----:\|----------:\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------\|:--------------------\|:-------\|:---------------\|:--------\|:-----------\|:-------------\|:---------\|:----------\|:---------------\|:--------------\|:-----------\|:--------------------\|:--------------\|:-------------------\|:------------------\| \| 0 \| 32 \| ![](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 \|
CyberHarem/mayuzumi_fuyuko_theidolmstershinycolors	--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of mayuzumi_fuyuko/黛冬優子 (THE iDOLM@STER: SHINY COLORS) This is the dataset of mayuzumi_fuyuko/黛冬優子 (THE iDOLM@STER: SHINY COLORS), containing 500 images and their tags. The core tags of this character are `black_hair, long_hair, bangs, brown_eyes, blunt_bangs, breasts, two_side_up, ribbon, medium_breasts, bow`, 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 \| 919.13 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/mayuzumi_fuyuko_theidolmstershinycolors/resolve/main/dataset-raw.zip) \| Waifuc-Raw \| Raw data with meta information (min edge aligned to 1400 if larger). \| \| 800 \| 500 \| 439.43 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/mayuzumi_fuyuko_theidolmstershinycolors/resolve/main/dataset-800.zip) \| IMG+TXT \| dataset with the shorter side not exceeding 800 pixels. \| \| stage3-p480-800 \| 1302 \| 1.00 GiB \| [Download](https://huggingface.co/datasets/CyberHarem/mayuzumi_fuyuko_theidolmstershinycolors/resolve/main/dataset-stage3-p480-800.zip) \| IMG+TXT \| 3-stage cropped dataset with the area not less than 480x480 pixels. \| \| 1200 \| 500 \| 777.09 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/mayuzumi_fuyuko_theidolmstershinycolors/resolve/main/dataset-1200.zip) \| IMG+TXT \| dataset with the shorter side not exceeding 1200 pixels. \| \| stage3-p480-1200 \| 1302 \| 1.59 GiB \| [Download](https://huggingface.co/datasets/CyberHarem/mayuzumi_fuyuko_theidolmstershinycolors/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/mayuzumi_fuyuko_theidolmstershinycolors', 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 \| 23 \| ![](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, cat_ears, looking_at_viewer, solo, cat_tail, animal_ear_fluff, blush, open_mouth, frills, red_bow, simple_background, hair_ribbon, hairclip, white_background, fang, black_choker, bowtie, cat_girl, dress, juliet_sleeves, white_shirt, claw_pose, vertical-striped_skirt \| \| 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, black_ribbon, black_skirt, black_thighhighs, blush, long_sleeves, looking_at_viewer, pink_shirt, simple_background, solo, white_background, :d, neck_ribbon, open_mouth, zettai_ryouiki, frills, jirai_kei \| \| 2 \| 8 \| ![](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, black_ribbon, black_skirt, blush, jirai_kei, long_sleeves, looking_at_viewer, pink_shirt, solo, neck_ribbon, simple_background, white_background, closed_mouth, frills, crossed_arms, upper_body \| \| 3 \| 13 \| ![](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, bare_shoulders, long_sleeves, looking_at_viewer, plaid_dress, solo, black_choker, collarbone, blush, simple_background, white_background, detached_sleeves, frilled_dress, smile, upper_body, white_dress, grey_dress \| \| 4 \| 20 \| ![](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, black_headwear, black_shirt, long_sleeves, looking_at_viewer, solo, heart_earrings, cleavage, blush, polka_dot_legwear, zettai_ryouiki, beret, leopard_print, fake_horns, collarbone, miniskirt, simple_background, sitting, white_background, brown_skirt, open_mouth, frilled_choker, :d, pink_thighhighs, print_skirt, shiny_hair, very_long_hair \| \| 5 \| 5 \| ![](samples/5/clu5-sample0.png) \| ![](samples/5/clu5-sample1.png) \| ![](samples/5/clu5-sample2.png) \| ![](samples/5/clu5-sample3.png) \| ![](samples/5/clu5-sample4.png) \| 1girl, blush, long_sleeves, looking_at_viewer, smile, solo, cherry_blossoms, floating_hair, outdoors, upper_body, belt, hair_ribbon, open_mouth, pink_jacket, skirt, depth_of_field, falling_petals, frills, neck_ribbon, white_shirt \| \| 6 \| 11 \| ![](samples/6/clu6-sample0.png) \| ![](samples/6/clu6-sample1.png) \| ![](samples/6/clu6-sample2.png) \| ![](samples/6/clu6-sample3.png) \| ![](samples/6/clu6-sample4.png) \| 1girl, blush, looking_at_viewer, solo, earrings, nail_polish, hair_bow, long_sleeves, smile, chocolate, collarbone, holding, one_eye_closed, open_mouth, shirt, upper_body, blue_nails \| \| 7 \| 8 \| ![](samples/7/clu7-sample0.png) \| ![](samples/7/clu7-sample1.png) \| ![](samples/7/clu7-sample2.png) \| ![](samples/7/clu7-sample3.png) \| ![](samples/7/clu7-sample4.png) \| 1girl, looking_at_viewer, school_uniform, solo, plaid_skirt, pleated_skirt, white_shirt, cardigan_around_waist, double_bun, kogal, loose_bowtie, pink_skirt, simple_background, wavy_hair, white_background, blush, bracelet, smile, open_collar, collarbone, open_mouth, school_bag, sitting, sweater_around_waist, wrist_scrunchie \| \| 8 \| 7 \| ![](samples/8/clu8-sample0.png) \| ![](samples/8/clu8-sample1.png) \| ![](samples/8/clu8-sample2.png) \| ![](samples/8/clu8-sample3.png) \| ![](samples/8/clu8-sample4.png) \| 1girl, blush, looking_at_viewer, solo, crop_top, detached_sleeves, green_hair, midriff, miniskirt, navel, smile, two-tone_hair, cleavage, nail_polish, black_thighhighs, green_nails, long_sleeves, pleated_skirt, black_shirt, cowboy_shot, layered_skirt, open_mouth, stomach \| \| 9 \| 10 \| ![](samples/9/clu9-sample0.png) \| ![](samples/9/clu9-sample1.png) \| ![](samples/9/clu9-sample2.png) \| ![](samples/9/clu9-sample3.png) \| ![](samples/9/clu9-sample4.png) \| 1girl, looking_at_viewer, navel, see-through, solo, earrings, hair_flower, midriff, black_gloves, bare_shoulders, black_rose, blush, smile, black_bikini, bracelet, cleavage, collarbone, crop_top, lying, stomach \| \| 10 \| 24 \| ![](samples/10/clu10-sample0.png) \| ![](samples/10/clu10-sample1.png) \| ![](samples/10/clu10-sample2.png) \| ![](samples/10/clu10-sample3.png) \| ![](samples/10/clu10-sample4.png) \| 1girl, solo, cleavage, looking_at_viewer, blush, red_bikini, heart_print, collarbone, frilled_bikini, smile, navel, hair_ribbon, off-shoulder_bikini, open_mouth, bikini_skirt, outdoors, blue_sky, day, print_bikini, hair_bow, red_bow, white_background, bare_shoulders, black_choker, bracelet, ocean \| \| 11 \| 6 \| ![](samples/11/clu11-sample0.png) \| ![](samples/11/clu11-sample1.png) \| ![](samples/11/clu11-sample2.png) \| ![](samples/11/clu11-sample3.png) \| ![](samples/11/clu11-sample4.png) \| 1girl, choker, looking_at_viewer, sailor_collar, solo, cat_ear_headphones, heart, shirt, short_sleeves, bag, blush, earrings, open_mouth, purple_skirt, star_(symbol), :d, bracelet, frilled_skirt, hairclip, pleated_skirt, scrunchie, white_thighhighs \| \| 12 \| 5 \| ![](samples/12/clu12-sample0.png) \| ![](samples/12/clu12-sample1.png) \| ![](samples/12/clu12-sample2.png) \| ![](samples/12/clu12-sample3.png) \| ![](samples/12/clu12-sample4.png) \| 1girl, looking_at_viewer, solo, sun_hat, white_headwear, :d, blush, open_mouth, white_dress, blue_ribbon, blue_sky, hand_on_headwear, outdoors, sleeveless_dress, arm_up, day, floral_print, hat_ribbon, jewelry, white_belt \| \| 13 \| 7 \| ![](samples/13/clu13-sample0.png) \| ![](samples/13/clu13-sample1.png) \| ![](samples/13/clu13-sample2.png) \| ![](samples/13/clu13-sample3.png) \| ![](samples/13/clu13-sample4.png) \| 1girl, bare_shoulders, solo, blush, casual_one-piece_swimsuit, heart_hair_ornament, looking_at_viewer, twin_braids, choker, collarbone, frilled_swimsuit, hairclip, cleavage, closed_mouth, heart_print, outdoors, twintails, bare_legs, barefoot, beach, blue_dress, blue_one-piece_swimsuit, blue_sky, cloud, day, hair_over_shoulder, heart_cutout, off_shoulder, pink_bow, smile, wariza \| \| 14 \| 5 \| ![](samples/14/clu14-sample0.png) \| ![](samples/14/clu14-sample1.png) \| ![](samples/14/clu14-sample2.png) \| ![](samples/14/clu14-sample3.png) \| ![](samples/14/clu14-sample4.png) \| 1girl, blush, cleavage, collarbone, looking_at_viewer, solo, bare_shoulders, closed_mouth, navel, underwear_only, lace-trimmed_bra, on_bed, ass_visible_through_thighs, bed_sheet, blurry, curtains, indoors, lace-trimmed_panties, pillow, pink_panties, red_bra, red_panties, sitting, smile, stomach \| ### Table Version \| # \| Samples \| Img-1 \| Img-2 \| Img-3 \| Img-4 \| Img-5 \| 1girl \| cat_ears \| looking_at_viewer \| solo \| cat_tail \| animal_ear_fluff \| blush \| open_mouth \| frills \| red_bow \| simple_background \| hair_ribbon \| hairclip \| white_background \| fang \| black_choker \| bowtie \| cat_girl \| dress \| juliet_sleeves \| white_shirt \| claw_pose \| vertical-striped_skirt \| black_ribbon \| black_skirt \| black_thighhighs \| long_sleeves \| pink_shirt \| :d \| neck_ribbon \| zettai_ryouiki \| jirai_kei \| closed_mouth \| crossed_arms \| upper_body \| bare_shoulders \| plaid_dress \| collarbone \| detached_sleeves \| frilled_dress \| smile \| white_dress \| grey_dress \| black_headwear \| black_shirt \| heart_earrings \| cleavage \| polka_dot_legwear \| beret \| leopard_print \| fake_horns \| miniskirt \| sitting \| brown_skirt \| frilled_choker \| pink_thighhighs \| print_skirt \| shiny_hair \| very_long_hair \| cherry_blossoms \| floating_hair \| outdoors \| belt \| pink_jacket \| skirt \| depth_of_field \| falling_petals \| earrings \| nail_polish \| hair_bow \| chocolate \| holding \| one_eye_closed \| shirt \| blue_nails \| school_uniform \| plaid_skirt \| pleated_skirt \| cardigan_around_waist \| double_bun \| kogal \| loose_bowtie \| pink_skirt \| wavy_hair \| bracelet \| open_collar \| school_bag \| sweater_around_waist \| wrist_scrunchie \| crop_top \| green_hair \| midriff \| navel \| two-tone_hair \| green_nails \| cowboy_shot \| layered_skirt \| stomach \| see-through \| hair_flower \| black_gloves \| black_rose \| black_bikini \| lying \| red_bikini \| heart_print \| frilled_bikini \| off-shoulder_bikini \| bikini_skirt \| blue_sky \| day \| print_bikini \| ocean \| choker \| sailor_collar \| cat_ear_headphones \| heart \| short_sleeves \| bag \| purple_skirt \| star_(symbol) \| frilled_skirt \| scrunchie \| white_thighhighs \| sun_hat \| white_headwear \| blue_ribbon \| hand_on_headwear \| sleeveless_dress \| arm_up \| floral_print \| hat_ribbon \| jewelry \| white_belt \| casual_one-piece_swimsuit \| heart_hair_ornament \| twin_braids \| frilled_swimsuit \| twintails \| bare_legs \| barefoot \| beach \| blue_dress \| blue_one-piece_swimsuit \| cloud \| hair_over_shoulder \| heart_cutout \| off_shoulder \| pink_bow \| wariza \| underwear_only \| lace-trimmed_bra \| on_bed \| ass_visible_through_thighs \| bed_sheet \| blurry \| curtains \| indoors \| lace-trimmed_panties \| pillow \| pink_panties \| red_bra \| red_panties \| \|----:\|----------:\|:----------------------------------\|:----------------------------------\|:----------------------------------\|:----------------------------------\|:----------------------------------\|:--------\|:-----------\|:--------------------\|:-------\|:-----------\|:-------------------\|:--------\|:-------------\|:---------\|:----------\|:--------------------\|:--------------\|:-----------\|:-------------------\|:-------\|:---------------\|:---------\|:-----------\|:--------\|:-----------------\|:--------------\|:------------\|:-------------------------\|:---------------\|:--------------\|:-------------------\|:---------------\|:-------------\|:-----\|:--------------\|:-----------------\|:------------\|:---------------\|:---------------\|:-------------\|:-----------------\|:--------------\|:-------------\|:-------------------\|:----------------\|:--------\|:--------------\|:-------------\|:-----------------\|:--------------\|:-----------------\|:-----------\|:--------------------\|:--------\|:----------------\|:-------------\|:------------\|:----------\|:--------------\|:-----------------\|:------------------\|:--------------\|:-------------\|:-----------------\|:------------------\|:----------------\|:-----------\|:-------\|:--------------\|:--------\|:-----------------\|:-----------------\|:-----------\|:--------------\|:-----------\|:------------\|:----------\|:-----------------\|:--------\|:-------------\|:-----------------\|:--------------\|:----------------\|:------------------------\|:-------------\|:--------\|:---------------\|:-------------\|:------------\|:-----------\|:--------------\|:-------------\|:-----------------------\|:------------------\|:-----------\|:-------------\|:----------\|:--------\|:----------------\|:--------------\|:--------------\|:----------------\|:----------\|:--------------\|:--------------\|:---------------\|:-------------\|:---------------\|:--------\|:-------------\|:--------------\|:-----------------\|:----------------------\|:---------------\|:-----------\|:------\|:---------------\|:--------\|:---------\|:----------------\|:---------------------\|:--------\|:----------------\|:------\|:---------------\|:----------------\|:----------------\|:------------\|:-------------------\|:----------\|:-----------------\|:--------------\|:-------------------\|:-------------------\|:---------\|:---------------\|:-------------\|:----------\|:-------------\|:----------------------------\|:----------------------\|:--------------\|:-------------------\|:------------\|:------------\|:-----------\|:--------\|:-------------\|:--------------------------\|:--------\|:---------------------\|:---------------\|:---------------\|:-----------\|:---------\|:-----------------\|:-------------------\|:---------\|:-----------------------------\|:------------\|:---------\|:-----------\|:----------\|:-----------------------\|:---------\|:---------------\|:----------\|:--------------\| \| 0 \| 23 \| ![](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 \| 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 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\| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 3 \| 13 \| ![](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 \| \| \| \| \| \| \| \| \| \| \| X \| \| \| \| \| \| \| \| X \| X \| X \| X \| X \| X \| X \| X \| X \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 4 \| 20 \| ![](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 \| \| \| \| \| \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 5 \| 5 \| ![](samples/5/clu5-sample0.png) \| ![](samples/5/clu5-sample1.png) \| ![](samples/5/clu5-sample2.png) \| ![](samples/5/clu5-sample3.png) \| ![](samples/5/clu5-sample4.png) \| X \| \| X \| X \| \| \| X \| X \| X \| \| \| X \| \| \| \| \| \| \| \| \| X \| \| \| \| \| \| X \| \| \| X \| \| \| \| \| X \| \| \| \| \| \| X \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 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huggingartists/billie-eilish	--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/billie-eilish" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [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) - [About](#about) ## Dataset Description - Homepage: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Repository: [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - Paper: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Point of Contact: [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - Size of the generated dataset: 0.734139 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/1aa6c04aad3652556046bb3aabe96498.900x900x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/billie-eilish"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">Billie Eilish</div> <a href="https://genius.com/artists/billie-eilish"> <div style="text-align: center; font-size: 14px;">@billie-eilish</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/billie-eilish). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/billie-eilish") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits \| train \|validation\|test\| \|------:\|---------:\|---:\| \|298\| -\| -\| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/billie-eilish") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])train_percentage), int(len(datasets['train']['text'])(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About Built by Aleksey Korshuk [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) For more details, visit the project repository. [![GitHub stars](https://img.shields.io/github/stars/AlekseyKorshuk/huggingartists?style=social)](https://github.com/AlekseyKorshuk/huggingartists)
liaad/Bosque_PT-PT	--- license: mit dataset_info: features: - name: tokens sequence: string - name: lemmas sequence: string - name: pos_tags sequence: string splits: - name: train num_bytes: 5033815 num_examples: 9071 - name: test num_bytes: 286364 num_examples: 576 download_size: 1758940 dataset_size: 5320179 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* task_categories: - token-classification language: - pt tags: - pos - pos-tagging - part-of-speech pretty_name: Bosque Part of Speech PT-PT ---
Seongill/squad_conflict_v2_under_150_with_substitution	--- dataset_info: features: - name: id dtype: string - name: title dtype: string - name: context dtype: string - name: question dtype: string - name: answers struct: - name: answer_start sequence: int64 - name: text sequence: string - name: masked_query dtype: string - name: query_embedding sequence: float64 - name: ent_type dtype: string - name: answer dtype: string - name: random_answer dtype: string - name: similar_answer dtype: string - name: rewritten_context dtype: string - name: has_answer dtype: bool - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 199608048 num_examples: 25866 download_size: 140606479 dataset_size: 199608048 configs: - config_name: default data_files: - split: train path: data/train-* ---
malaysia-ai/mosaic-yi	--- language: - ms --- # Mosaic format for filtered combine dataset to finetune Yi models This repository is to store dataset shards using mosaic format. 1. prepared at https://github.com/malaysia-ai/dedup-text-dataset/blob/main/yi/combine-dataset.ipynb 2. using tokenizer https://huggingface.co/01-ai/Yi-6B 3. 4096 context length. ## how-to 1. git clone, ```bash git lfs clone https://huggingface.co/datasets/malaysia-ai/mosaic-yi ``` 2. load it, ```python from streaming import LocalDataset import numpy as np from streaming.base.format.mds.encodings import Encoding, _encodings class UInt16(Encoding): def encode(self, obj) -> bytes: return obj.tobytes() def decode(self, data: bytes): return np.frombuffer(data, np.uint16) _encodings['uint16'] = UInt16 dataset = LocalDataset('mosaic-yi') len(dataset) ```
vedant2004/Airlinereview	--- license: apache-2.0 ---
islamrokon/Dataset	--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* dataset_info: features: - name: question dtype: string - name: answer dtype: string - name: input_ids sequence: int32 - name: attention_mask sequence: int32 - name: labels sequence: int64 splits: - name: train num_bytes: 379777.2888616891 num_examples: 735 - name: test num_bytes: 42369.71113831089 num_examples: 82 download_size: 165978 dataset_size: 422147.0 --- # Dataset Card for "Dataset" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
HuggingFaceM4/PMC-VQA	Invalid username or password.
CyberHarem/kubira_granbluefantasy	--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of kubira (Granblue Fantasy) This is the dataset of kubira (Granblue Fantasy), containing 306 images and their tags. The core tags of this character are `dark_skin, blonde_hair, horns, long_hair, dark-skinned_female, pointy_ears, breasts, large_breasts, bangs, yellow_eyes, horn_ornament, multicolored_hair, pink_hair, brown_eyes, earrings`, 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 \| 306 \| 456.63 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/kubira_granbluefantasy/resolve/main/dataset-raw.zip) \| Waifuc-Raw \| Raw data with meta information (min edge aligned to 1400 if larger). \| \| 800 \| 306 \| 260.48 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/kubira_granbluefantasy/resolve/main/dataset-800.zip) \| IMG+TXT \| dataset with the shorter side not exceeding 800 pixels. \| \| stage3-p480-800 \| 762 \| 562.67 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/kubira_granbluefantasy/resolve/main/dataset-stage3-p480-800.zip) \| IMG+TXT \| 3-stage cropped dataset with the area not less than 480x480 pixels. \| \| 1200 \| 306 \| 401.88 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/kubira_granbluefantasy/resolve/main/dataset-1200.zip) \| IMG+TXT \| dataset with the shorter side not exceeding 1200 pixels. \| \| stage3-p480-1200 \| 762 \| 804.95 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/kubira_granbluefantasy/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/kubira_granbluefantasy', 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 \| 10 \| ![](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) \| 1boy, 1girl, blush, draph, hetero, looking_at_viewer, nipples, solo_focus, paizuri, smile, breasts_squeezed_together, open_mouth, penis, collarbone, cum_on_breasts, two-tone_hair, censored, hair_flower, horn_ribbon, jewelry \| \| 1 \| 44 \| ![](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, draph, looking_at_viewer, solo, smile, black_bikini, official_alternate_costume, blush, cleavage, bare_shoulders, hair_flower, horn_ribbon, layered_bikini, navel, two-tone_hair, parted_bangs \| \| 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, bare_shoulders, belt, black_shorts, cleavage, draph, fur_trim, looking_at_viewer, midriff, navel, off_shoulder, short_shorts, smile, solo, wide_sleeves, blush, collarbone, elbow_gloves, long_sleeves, necklace, open_mouth, thighs, white_gloves, white_thighhighs, gourd, jacket, parted_bangs, sidelocks, simple_background, white_background, cowboy_shot, swept_bangs \| \| 3 \| 5 \| ![](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, draph, smile, solo, blush, coat, long_sleeves, ribbon, sweater, upper_body, boar, jewelry, looking_at_viewer, red_scarf, snow \| \| 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) \| 1boy, 1girl, draph, hetero, navel, nipples, sex, solo_focus, sweat, parted_bangs, penis, pussy, spread_legs, vaginal, bar_censor, bed_sheet, colored_inner_hair, completely_nude, female_pubic_hair, missionary, on_back, open_mouth, two-tone_hair, cum, horn_ribbon, nose_blush, on_bed \| ### Table Version \| # \| Samples \| Img-1 \| Img-2 \| Img-3 \| Img-4 \| Img-5 \| 1boy \| 1girl \| blush \| draph \| hetero \| looking_at_viewer \| nipples \| solo_focus \| paizuri \| smile \| breasts_squeezed_together \| open_mouth \| penis \| collarbone \| cum_on_breasts \| two-tone_hair \| censored \| hair_flower \| horn_ribbon \| jewelry \| solo \| black_bikini \| official_alternate_costume \| cleavage \| bare_shoulders \| layered_bikini \| navel \| parted_bangs \| belt \| black_shorts \| fur_trim \| midriff \| off_shoulder \| short_shorts \| wide_sleeves \| elbow_gloves \| long_sleeves \| necklace \| thighs \| white_gloves \| white_thighhighs \| gourd \| jacket \| sidelocks \| simple_background \| white_background \| cowboy_shot \| swept_bangs \| coat \| ribbon \| sweater \| upper_body \| boar \| red_scarf \| snow \| sex \| sweat \| pussy \| spread_legs \| vaginal \| bar_censor \| bed_sheet \| colored_inner_hair \| completely_nude \| female_pubic_hair \| missionary \| on_back \| cum \| nose_blush \| on_bed \| \|----:\|----------:\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:-------\|:--------\|:--------\|:--------\|:---------\|:--------------------\|:----------\|:-------------\|:----------\|:--------\|:----------------------------\|:-------------\|:--------\|:-------------\|:-----------------\|:----------------\|:-----------\|:--------------\|:--------------\|:----------\|:-------\|:---------------\|:-----------------------------\|:-----------\|:-----------------\|:-----------------\|:--------\|:---------------\|:-------\|:---------------\|:-----------\|:----------\|:---------------\|:---------------\|:---------------\|:---------------\|:---------------\|:-----------\|:---------\|:---------------\|:-------------------\|:--------\|:---------\|:------------\|:--------------------\|:-------------------\|:--------------\|:--------------\|:-------\|:---------\|:----------\|:-------------\|:-------\|:------------\|:-------\|:------\|:--------\|:--------\|:--------------\|:----------\|:-------------\|:------------\|:---------------------\|:------------------\|:--------------------\|:-------------\|:----------\|:------\|:-------------\|:---------\| \| 0 \| 10 \| ![](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 \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 1 \| 44 \| ![](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 \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 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 \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 3 \| 5 \| ![](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 \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| X \| \| \| \| \| \| \| \| \| \| \| \| 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 \| X \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \|
one-sec-cv12/chunk_61	--- dataset_info: features: - name: audio dtype: audio: sampling_rate: 16000 splits: - name: train num_bytes: 24301968912.625 num_examples: 253019 download_size: 21418708481 dataset_size: 24301968912.625 --- # Dataset Card for "chunk_61" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
gokul00060/armv1-jsonl	--- license: mit ---
liuyanchen1015/MULTI_VALUE_stsb_he_inanimate_objects	--- dataset_info: features: - name: sentence1 dtype: string - name: sentence2 dtype: string - name: score dtype: float64 - name: idx dtype: int64 - name: value_score dtype: int64 splits: - name: dev num_bytes: 13287 num_examples: 61 - name: test num_bytes: 7538 num_examples: 43 - name: train num_bytes: 25309 num_examples: 119 download_size: 40508 dataset_size: 46134 --- # Dataset Card for "MULTI_VALUE_stsb_he_inanimate_objects" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
kings-crown/Aircraft_Reports	--- license: mit ---
MattiaL/tapir-cleaned-67k	--- license: cc-by-nc-4.0 language: - en tags: - instruction-finetuning pretty_name: Tapir-Cleaned task_categories: - text-generation size_categories: - 10K<n<100K --- # Dataset Card for Tapir-Cleaned This is a revised version of the DAISLab dataset of IFTTT rules, which has been thoroughly cleaned, scored, and adjusted for the purpose of instruction-tuning. ## Tapir Dataset Summary Tapir is a subset of the larger DAISLab dataset, which comprises 242,480 recipes extracted from the IFTTT platform. After a thorough cleaning process that involved the removal of redundant and inconsistent recipes, the refined dataset was condensed to include 67,697 high-quality recipes. This curated set of instruction data is particularly useful for conducting instruction-tuning exercises for language models, allowing them to more accurately follow instructions and achieve superior performance. The last version of Tapir includes a correlation score that helps to identify the most appropriate description-rule pairs for instruction tuning. Description-rule pairs with a score greater than 0.75 are deemed good enough and are prioritized for further analysis and tuning. ### Supported Tasks and Leaderboards The Tapir dataset designed for instruction training pretrained language models ### Languages The data in Tapir are mainly in English (BCP-47 en). # Dataset Structure ### Data Instances ```json { "instruction":"From the description of a rule: identify the 'trigger', identify the 'action', write a IF 'trigger' THEN 'action' rule.", "input":"If it's raining outside, you'll want some nice warm colors inside!", "output":"IF Weather Underground Current condition changes to THEN LIFX Change color of lights", "score":"0.788197", "text": "Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.\n\n### Instruction:\nFrom the description of a rule: identify the 'trigger', identify the 'action', write a IF 'trigger' THEN 'action' rule.\n\n### Input:\nIf it's raining outside, you'll want some nice warm colors inside!\n\n### Response:\nIF Weather Underground Current condition changes to THEN LIFX Change color of lights", } ``` ### Data Fields The data fields are as follows: * `instruction`: describes the task the model should perform. * `input`: context or input for the task. Each of the 67K input is unique. * `output`: the answer taken from the original Tapir Dataset formatted as an IFTTT recipe. * `score`: the correlation score obtained via BertForNextSentencePrediction * `text`: the `instruction`, `input` and `output` formatted with the [prompt template](https://github.com/tatsu-lab/stanford_alpaca#data-release) used by the authors of Alpaca for fine-tuning their models. ### Data Splits \| \| train \| \|---------------\|------:\| \| tapir \| 67697 \| ### Licensing Information The dataset is available under the [Creative Commons NonCommercial (CC BY-NC 4.0)](https://creativecommons.org/licenses/by-nc/4.0/legalcode). ### Citation Information ``` @misc{tapir, author = {Mattia Limone, Gaetano Cimino, Annunziata Elefante}, title = {TAPIR: Trigger Action Platform for Information Retrieval}, year = {2023}, publisher = {GitHub}, journal = {GitHub repository}, howpublished = {\url{https://github.com/MattiaLimone/ifttt_recommendation_system}}, } ```
autoevaluate/autoeval-staging-eval-project-c80bd5f3-aba9-44d4-aefd-7fef2e67a535-120116	--- type: predictions tags: - autotrain - evaluation datasets: - autoevaluate/zero-shot-classification-sample eval_info: task: text_zero_shot_classification model: autoevaluate/zero-shot-classification-not-evaluated metrics: [] dataset_name: autoevaluate/zero-shot-classification-sample dataset_config: autoevaluate--zero-shot-classification-sample dataset_split: test col_mapping: text: text classes: classes target: target --- # Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Zero-Shot Text Classification * Model: autoevaluate/zero-shot-classification-not-evaluated * Dataset: autoevaluate/zero-shot-classification-sample * Config: autoevaluate--zero-shot-classification-sample * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@lewtun](https://huggingface.co/lewtun) for evaluating this model.
CyberHarem/sena_bluearchive	--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of sena/氷室セナ/濑名 (Blue Archive) This is the dataset of sena/氷室セナ/濑名 (Blue Archive), containing 92 images and their tags. The core tags of this character are `horns, short_hair, halo, yellow_eyes, braid, breasts, hat, white_hair, nurse_cap, large_breasts, black_horns, grey_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 \| 92 \| 153.21 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/sena_bluearchive/resolve/main/dataset-raw.zip) \| Waifuc-Raw \| Raw data with meta information (min edge aligned to 1400 if larger). \| \| 1200 \| 92 \| 122.45 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/sena_bluearchive/resolve/main/dataset-1200.zip) \| IMG+TXT \| dataset with the shorter side not exceeding 1200 pixels. \| \| stage3-p480-1200 \| 227 \| 255.46 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/sena_bluearchive/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/sena_bluearchive', 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) \| armband, blue_dress, closed_mouth, looking_at_viewer, short_sleeves, solo, 1girl, blush, nurse, simple_background, white_apron, hair_between_eyes, puffy_sleeves, white_background, white_headwear, black_gloves \| \| 1 \| 5 \| ![](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, black_footwear, black_gloves, blue_dress, closed_mouth, full_body, puffy_short_sleeves, solo, white_apron, knee_boots, looking_at_viewer, standing, waist_apron, white_background, white_headwear, armband, chibi, hair_between_eyes, holding_gun, lace-up_boots, simple_background, brown_eyes, brown_footwear, medium_breasts, shoulder_bag \| ### Table Version \| # \| Samples \| Img-1 \| Img-2 \| Img-3 \| Img-4 \| Img-5 \| armband \| blue_dress \| closed_mouth \| looking_at_viewer \| short_sleeves \| solo \| 1girl \| blush \| nurse \| simple_background \| white_apron \| hair_between_eyes \| puffy_sleeves \| white_background \| white_headwear \| black_gloves \| black_footwear \| full_body \| puffy_short_sleeves \| knee_boots \| standing \| waist_apron \| chibi \| holding_gun \| lace-up_boots \| brown_eyes \| brown_footwear \| medium_breasts \| shoulder_bag \| \|----:\|----------:\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:----------\|:-------------\|:---------------\|:--------------------\|:----------------\|:-------\|:--------\|:--------\|:--------\|:--------------------\|:--------------\|:--------------------\|:----------------\|:-------------------\|:-----------------\|:---------------\|:-----------------\|:------------\|:----------------------\|:-------------\|:-----------\|:--------------\|:--------\|:--------------\|:----------------\|:-------------\|:-----------------\|:-----------------\|:---------------\| \| 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 \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 1 \| 5 \| ![](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 \| X \| X \| X \| X \| X \| X \|
CyberHarem/shatola_granbluefantasy	--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of shatola (Granblue Fantasy) This is the dataset of shatola (Granblue Fantasy), containing 367 images and their tags. The core tags of this character are `long_hair, animal_ears, blue_hair, breasts, horns, cow_ears, bangs, cow_horns, cow_girl, large_breasts, pointy_ears, ear_piercing`, 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 \| 367 \| 580.38 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/shatola_granbluefantasy/resolve/main/dataset-raw.zip) \| Waifuc-Raw \| Raw data with meta information (min edge aligned to 1400 if larger). \| \| 800 \| 367 \| 308.04 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/shatola_granbluefantasy/resolve/main/dataset-800.zip) \| IMG+TXT \| dataset with the shorter side not exceeding 800 pixels. \| \| stage3-p480-800 \| 951 \| 691.66 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/shatola_granbluefantasy/resolve/main/dataset-stage3-p480-800.zip) \| IMG+TXT \| 3-stage cropped dataset with the area not less than 480x480 pixels. \| \| 1200 \| 367 \| 502.41 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/shatola_granbluefantasy/resolve/main/dataset-1200.zip) \| IMG+TXT \| dataset with the shorter side not exceeding 1200 pixels. \| \| stage3-p480-1200 \| 951 \| 1.00 GiB \| [Download](https://huggingface.co/datasets/CyberHarem/shatola_granbluefantasy/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/shatola_granbluefantasy', 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 \| 14 \| ![](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, draph, looking_at_viewer, red_dress, solo, blush, cleavage, smile, bell, bare_shoulders, open_mouth, bow, fur_collar, twintails, yellow_eyes, cow_print \| \| 1 \| 21 \| ![](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, cleavage, cow_print, draph, looking_at_viewer, piercing, solo, bare_shoulders, blush, detached_sleeves, white_bikini, detached_collar, see-through, wide_sleeves, open_mouth, purple_eyes \| \| 2 \| 8 \| ![](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, blush, cleavage, cow_print, detached_sleeves, draph, looking_at_viewer, piercing, solo, thighs, white_bikini, white_thighhighs, bare_shoulders, detached_collar, navel, see-through, short_shorts, sitting, white_shorts, wide_sleeves, purple_eyes, open_mouth, white_background, simple_background \| \| 3 \| 6 \| ![](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, bare_shoulders, cleavage, cow_print, cow_tail, detached_collar, detached_sleeves, draph, looking_at_viewer, navel, piercing, short_shorts, solo, thighs, white_bikini, white_shorts, white_thighhighs, wide_sleeves, blush, micro_shorts, open_mouth \| \| 4 \| 9 \| ![](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) \| 1boy, 1girl, blush, cow_print, draph, hetero, nipples, paizuri, solo_focus, penis, piercing, earrings, looking_at_viewer, open_mouth, collarbone, detached_collar, bar_censor, detached_sleeves, huge_breasts, mosaic_censoring, purple_eyes, smile \| \| 5 \| 12 \| ![](samples/5/clu5-sample0.png) \| ![](samples/5/clu5-sample1.png) \| ![](samples/5/clu5-sample2.png) \| ![](samples/5/clu5-sample3.png) \| ![](samples/5/clu5-sample4.png) \| 1girl, blush, cow_print, hetero, penis, sex, vaginal, 1boy, draph, navel, open_mouth, solo_focus, nipples, thighhighs, piercing, cum_in_pussy, girl_on_top, nude, bare_shoulders, cowgirl_position, detached_sleeves, looking_at_viewer, mosaic_censoring, bar_censor, smile, thighs \| \| 6 \| 5 \| ![](samples/6/clu6-sample0.png) \| ![](samples/6/clu6-sample1.png) \| ![](samples/6/clu6-sample2.png) \| ![](samples/6/clu6-sample3.png) \| ![](samples/6/clu6-sample4.png) \| blush, draph, looking_at_viewer, onsen, 1girl, collarbone, night_sky, solo, towel_on_head, wet, naked_towel, open_mouth, sitting, smile, star_(sky), bare_shoulders, bathing, cleavage, completely_nude, huge_breasts, navel, nude_cover, steam_censor \| ### Table Version \| # \| Samples \| Img-1 \| Img-2 \| Img-3 \| Img-4 \| Img-5 \| 1girl \| draph \| looking_at_viewer \| red_dress \| solo \| blush \| cleavage \| smile \| bell \| bare_shoulders \| open_mouth \| bow \| fur_collar \| twintails \| yellow_eyes \| cow_print \| piercing \| detached_sleeves \| white_bikini \| detached_collar \| see-through \| wide_sleeves \| purple_eyes \| thighs \| white_thighhighs \| navel \| short_shorts \| sitting \| white_shorts \| white_background \| simple_background \| cow_tail \| micro_shorts \| 1boy \| hetero \| nipples \| paizuri \| solo_focus \| penis \| earrings \| collarbone \| bar_censor \| huge_breasts \| mosaic_censoring \| sex \| vaginal \| thighhighs \| cum_in_pussy \| girl_on_top \| nude \| cowgirl_position \| onsen \| night_sky \| towel_on_head \| wet \| naked_towel \| star_(sky) \| bathing \| completely_nude \| nude_cover \| steam_censor \| \|----:\|----------:\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------\|:--------\|:--------------------\|:------------\|:-------\|:--------\|:-----------\|:--------\|:-------\|:-----------------\|:-------------\|:------\|:-------------\|:------------\|:--------------\|:------------\|:-----------\|:-------------------\|:---------------\|:------------------\|:--------------\|:---------------\|:--------------\|:---------\|:-------------------\|:--------\|:---------------\|:----------\|:---------------\|:-------------------\|:--------------------\|:-----------\|:---------------\|:-------\|:---------\|:----------\|:----------\|:-------------\|:--------\|:-----------\|:-------------\|:-------------\|:---------------\|:-------------------\|:------\|:----------\|:-------------\|:---------------\|:--------------\|:-------\|:-------------------\|:--------\|:------------\|:----------------\|:------\|:--------------\|:-------------\|:----------\|:------------------\|:-------------\|:---------------\| \| 0 \| 14 \| ![](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 \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 1 \| 21 \| ![](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 \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 2 \| 8 \| ![](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 \| X \| X \| X \| X \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 3 \| 6 \| ![](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 \| X \| \| \| \| \| X \| X \| X \| X \| X \| \| X \| \| X \| X \| X \| X \| \| X \| \| \| X \| X \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 4 \| 9 \| ![](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 \| \| \| \| \| \| \| \| \| \| \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 5 \| 12 \| ![](samples/5/clu5-sample0.png) \| ![](samples/5/clu5-sample1.png) \| ![](samples/5/clu5-sample2.png) \| ![](samples/5/clu5-sample3.png) \| ![](samples/5/clu5-sample4.png) \| X \| X \| X \| \| \| X \| \| X \| \| X \| X \| \| \| \| \| X \| X \| X \| \| \| \| \| \| X \| \| X \| \| \| \| \| \| \| \| X \| X \| X \| \| X \| X \| \| \| X \| \| X \| X \| X \| X \| X \| X \| X \| X \| \| \| \| \| \| \| \| \| \| \| \| 6 \| 5 \| ![](samples/6/clu6-sample0.png) \| ![](samples/6/clu6-sample1.png) \| ![](samples/6/clu6-sample2.png) \| ![](samples/6/clu6-sample3.png) \| ![](samples/6/clu6-sample4.png) \| X \| X \| X \| \| X \| X \| X \| X \| \| X \| X \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| X \| \| X \| \| \| \| \| \| \| \| \| \| \| \| \| X \| \| X \| \| \| \| \| \| \| \| \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \|
solosolipsist/bibliotheque-mordecai-richler	--- license: mit ---
nabonator/toy_dataset	--- dataset_info: features: - name: image dtype: image - name: text dtype: string splits: - name: train num_bytes: 181444.0 num_examples: 10 download_size: 167366 dataset_size: 181444.0 configs: - config_name: default data_files: - split: train path: data/train-* ---
japanese-asr/whisper_transcriptions.reazonspeech.all_55	--- dataset_info: config_name: all features: - name: name dtype: string - name: audio dtype: audio: sampling_rate: 16000 - name: transcription dtype: string - name: whisper_transcript sequence: int64 splits: - name: train num_bytes: 30363885386.0 num_examples: 267370 download_size: 30127324216 dataset_size: 30363885386.0 configs: - config_name: all data_files: - split: train path: all/train-* ---
j-chim/pii-pile-chunk3-300000-350000-tagged	--- dataset_info: features: - name: texts sequence: string - name: meta struct: - name: pile_set_name dtype: string - name: scores sequence: float64 - name: avg_score dtype: float64 - name: num_sents dtype: int64 - name: tagged_pii_results list: - name: analysis_explanation dtype: 'null' - name: end dtype: int64 - name: entity_type dtype: string - name: recognition_metadata struct: - name: recognizer_identifier dtype: string - name: recognizer_name dtype: string - name: score dtype: float64 - name: start dtype: int64 splits: - name: train num_bytes: 510432044 num_examples: 50000 download_size: 194469001 dataset_size: 510432044 --- # Dataset Card for "pii-pile-chunk3-300000-350000-tagged" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
CyberHarem/centi_nikke	--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of centi/センチ/桑迪/센티 (Nikke: Goddess of Victory) This is the dataset of centi/センチ/桑迪/센티 (Nikke: Goddess of Victory), containing 23 images and their tags. The core tags of this character are `blonde_hair, blue_eyes, long_hair, bangs, breasts, hat, large_breasts, baseball_cap, black_headwear`, 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 \| 47.64 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/centi_nikke/resolve/main/dataset-raw.zip) \| Waifuc-Raw \| Raw data with meta information (min edge aligned to 1400 if larger). \| \| 800 \| 23 \| 19.58 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/centi_nikke/resolve/main/dataset-800.zip) \| IMG+TXT \| dataset with the shorter side not exceeding 800 pixels. \| \| stage3-p480-800 \| 58 \| 44.46 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/centi_nikke/resolve/main/dataset-stage3-p480-800.zip) \| IMG+TXT \| 3-stage cropped dataset with the area not less than 480x480 pixels. \| \| 1200 \| 23 \| 37.51 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/centi_nikke/resolve/main/dataset-1200.zip) \| IMG+TXT \| dataset with the shorter side not exceeding 1200 pixels. \| \| stage3-p480-1200 \| 58 \| 74.83 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/centi_nikke/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/centi_nikke', 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 \| 6 \| ![](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, belt, crop_top, looking_at_viewer, midriff, navel, off_shoulder, solo, bare_shoulders, cleavage, collarbone, grey_pants, long_sleeves, open_jacket, parted_bangs, black_pants, blush, grey_jacket, smile, standing, black_jacket, closed_mouth, cowboy_shot, jewelry, open_mouth, sidelocks, simple_background, white_background \| \| 1 \| 12 \| ![](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, bare_shoulders, denim_shorts, short_shorts, crop_top, see-through, thighs, cleavage, navel, open_mouth, smile, black_bra, blush, collarbone, midriff, necklace, long_sleeves, simple_background, off-shoulder_shirt, standing, bandaid_on_face, cutoffs, white_background, white_shirt \| ### Table Version \| # \| Samples \| Img-1 \| Img-2 \| Img-3 \| Img-4 \| Img-5 \| 1girl \| belt \| crop_top \| looking_at_viewer \| midriff \| navel \| off_shoulder \| solo \| bare_shoulders \| cleavage \| collarbone \| grey_pants \| long_sleeves \| open_jacket \| parted_bangs \| black_pants \| blush \| grey_jacket \| smile \| standing \| black_jacket \| closed_mouth \| cowboy_shot \| jewelry \| open_mouth \| sidelocks \| simple_background \| white_background \| denim_shorts \| short_shorts \| see-through \| thighs \| black_bra \| necklace \| off-shoulder_shirt \| bandaid_on_face \| cutoffs \| white_shirt \| \|----:\|----------:\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------\|:-------\|:-----------\|:--------------------\|:----------\|:--------\|:---------------\|:-------\|:-----------------\|:-----------\|:-------------\|:-------------\|:---------------\|:--------------\|:---------------\|:--------------\|:--------\|:--------------\|:--------\|:-----------\|:---------------\|:---------------\|:--------------\|:----------\|:-------------\|:------------\|:--------------------\|:-------------------\|:---------------\|:---------------\|:--------------\|:---------\|:------------\|:-----------\|:---------------------\|:------------------\|:----------\|:--------------\| \| 0 \| 6 \| ![](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 \| X \| X \| X \| X \| X \| X \| X \| \| \| \| \| \| \| \| \| \| \| \| 1 \| 12 \| ![](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 \| X \| X \| X \| X \| X \| X \| X \|
SeoyeonChoi/customDataset_llama2_kor	--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 7786 num_examples: 32 download_size: 4172 dataset_size: 7786 configs: - config_name: default data_files: - split: train path: data/train-* ---
MartinKu/bookcorpus_stage1_SV_20230316	--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 2091780208 num_examples: 109310887 download_size: 1356114102 dataset_size: 2091780208 --- # Dataset Card for "bookcorpus_stage1_SV_20230316" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
tierdesafinante/caco_antibes_td	--- license: openrail ---
hugfaceguy0001/LightNovels100kto120k	--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 140078399 num_examples: 474 download_size: 88310840 dataset_size: 140078399 configs: - config_name: default data_files: - split: train path: data/train-* ---
ahishamm/Modified_Augmented_PH2_db_sharpened	--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': benign '1': malignant splits: - name: train num_bytes: 118056337.324 num_examples: 2714 - name: test num_bytes: 25334494.0 num_examples: 584 download_size: 144483186 dataset_size: 143390831.324 --- # Dataset Card for "Modified_Augmented_PH2_db_sharpened" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Guid0Craft/Test	--- license: apache-2.0 ---
irds/lotte_technology_dev_search	--- pretty_name: '`lotte/technology/dev/search`' viewer: false source_datasets: ['irds/lotte_technology_dev'] task_categories: - text-retrieval --- # Dataset Card for `lotte/technology/dev/search` The `lotte/technology/dev/search` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package. For more information about the dataset, see the [documentation](https://ir-datasets.com/lotte#lotte/technology/dev/search). # Data This dataset provides: - `queries` (i.e., topics); count=916 - `qrels`: (relevance assessments); count=2,676 - For `docs`, use [`irds/lotte_technology_dev`](https://huggingface.co/datasets/irds/lotte_technology_dev) ## Usage ```python from datasets import load_dataset queries = load_dataset('irds/lotte_technology_dev_search', 'queries') for record in queries: record # {'query_id': ..., 'text': ...} qrels = load_dataset('irds/lotte_technology_dev_search', 'qrels') for record in qrels: record # {'query_id': ..., 'doc_id': ..., 'relevance': ..., 'iteration': ...} ``` Note that calling `load_dataset` will download the dataset (or provide access instructions when it's not public) and make a copy of the data in 🤗 Dataset format. ## Citation Information ``` @article{Santhanam2021ColBERTv2, title = "ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction", author = "Keshav Santhanam and Omar Khattab and Jon Saad-Falcon and Christopher Potts and Matei Zaharia", journal= "arXiv preprint arXiv:2112.01488", year = "2021", url = "https://arxiv.org/abs/2112.01488" } ```
316usman/thematic3cembed	--- license: bsd dataset_info: features: - name: text dtype: string - name: thematic dtype: string - name: sub-thematic dtype: string - name: country dtype: string - name: document_url dtype: string - name: source_url dtype: string splits: - name: train num_bytes: 10912441 num_examples: 15053 download_size: 3349048 dataset_size: 10912441 configs: - config_name: default data_files: - split: train path: data/train-* ---
kpriyanshu256/MultiTabQA-multitable_pretraining-Salesforce-codet5-base_train-markdown-55000	--- dataset_info: features: - name: input_ids sequence: sequence: int32 - name: attention_mask sequence: sequence: int8 - name: labels sequence: sequence: int64 splits: - name: train num_bytes: 13336000 num_examples: 1000 download_size: 1063264 dataset_size: 13336000 configs: - config_name: default data_files: - split: train path: data/train-* ---

ssbuild/alpaca_guanaco

--- license: apache-2.0 ---

arbml/Author_Attribution_Tweets

--- dataset_info: features: - name: tweet dtype: string - name: author dtype: string splits: - name: test num_bytes: 2629687 num_examples: 13341 - name: train num_bytes: 10441650 num_examples: 53198 download_size: 6482998 dataset_size: 13071337 --- # Dataset Card for "Author_Attribution_Tweets" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

ouvic215/Soldering-Data-pix2pix-1209-white-1

--- dataset_info: features: - name: mask_image dtype: image - name: text dtype: string - name: image dtype: image splits: - name: train num_bytes: 511555221.25 num_examples: 6799 download_size: 510366317 dataset_size: 511555221.25 --- # Dataset Card for "Soldering-Data-pix2pix-1209-white-1" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

AppleHarem/paprika_arknights

--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of paprika (Arknights) This is the dataset of paprika (Arknights), containing 13 images and their tags. 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)). This is a WebUI contains crawlers and other thing: ([LittleAppleWebUI](https://github.com/LittleApple-fp16/LittleAppleWebUI)) | Name | Images | Download | Description | |:----------------|---------:|:----------------------------------------|:-----------------------------------------------------------------------------------------| | raw | 13 | [Download](dataset-raw.zip) | Raw data with meta information. | | raw-stage3 | 33 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. | | raw-stage3-eyes | 40 | [Download](dataset-raw-stage3-eyes.zip) | 3-stage cropped (with eye-focus) raw data with meta information. | | 384x512 | 13 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. | | 512x704 | 13 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. | | 640x880 | 13 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. | | stage3-640 | 33 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. | | stage3-800 | 33 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. | | stage3-p512-640 | 24 | [Download](dataset-stage3-p512-640.zip) | 3-stage cropped dataset with the area not less than 512x512 pixels. | | stage3-eyes-640 | 40 | [Download](dataset-stage3-eyes-640.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 640 pixels. | | stage3-eyes-800 | 40 | [Download](dataset-stage3-eyes-800.zip) | 3-stage cropped (with eye-focus) dataset with the shorter side not exceeding 800 pixels. |

OptimOS/Selfies

--- license: unknown ---

HuggingFaceM4/imagenet1k_support_5k_query_sets

Invalid username or password.

jamestalentium/xsum_10_finetune

--- dataset_info: features: - name: input_text dtype: string - name: output_text dtype: string - name: id dtype: string splits: - name: train num_bytes: 23485.327403268886 num_examples: 10 download_size: 19146 dataset_size: 23485.327403268886 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "xsum_10_finetune" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

atmallen/quirky_sciq_pythia-410m

--- configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* - split: test path: data/test-* dataset_info: features: - name: id dtype: string - name: choices sequence: string - name: label dtype: int64 - name: difficulty dtype: float64 - name: statement dtype: string - name: character dtype: string - name: alice_label dtype: bool - name: bob_label dtype: bool - name: bob_log_odds dtype: float64 splits: - name: train num_bytes: 29103976 num_examples: 46716 - name: validation num_bytes: 2464470 num_examples: 4000 - name: test num_bytes: 2510666 num_examples: 4000 download_size: 7307630 dataset_size: 34079112 --- # Dataset Card for "quirky_sciq_pythia-410m" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

ColinCcz/processed_mental_data

--- dataset_info: features: - name: text dtype: string - name: label dtype: string splits: - name: train num_bytes: 33504534 num_examples: 34823 - name: validation num_bytes: 8336083 num_examples: 8706 - name: test num_bytes: 10326719 num_examples: 10883 download_size: 31547813 dataset_size: 52167336 configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* - split: test path: data/test-* ---

Yus287/y-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 struct: - name: avatar_url dtype: string - name: events_url dtype: string - name: followers_url dtype: string - name: following_url dtype: string - name: gists_url dtype: string - name: gravatar_id dtype: string - name: html_url dtype: string - name: id dtype: int64 - name: login dtype: string - name: node_id dtype: string - name: organizations_url dtype: string - name: received_events_url dtype: string - name: repos_url dtype: string - name: site_admin dtype: bool - name: starred_url dtype: string - name: subscriptions_url dtype: string - name: type dtype: string - name: url dtype: string - name: labels list: - name: color dtype: string - name: default dtype: bool - name: description dtype: string - name: id dtype: int64 - name: name dtype: string - name: node_id dtype: string - name: url dtype: string - name: state dtype: string - name: locked dtype: bool - name: assignee struct: - name: avatar_url dtype: string - name: events_url dtype: string - name: followers_url dtype: string - name: following_url dtype: string - name: gists_url dtype: string - name: gravatar_id dtype: string - name: html_url dtype: string - name: id dtype: int64 - name: login dtype: string - name: node_id dtype: string - name: organizations_url dtype: string - name: received_events_url dtype: string - name: repos_url dtype: string - name: site_admin dtype: bool - name: starred_url dtype: string - name: subscriptions_url dtype: string - name: type dtype: string - name: url dtype: string - name: assignees list: - name: avatar_url dtype: string - name: events_url dtype: string - name: followers_url dtype: string - name: following_url dtype: string - name: gists_url dtype: string - name: gravatar_id dtype: string - name: html_url dtype: string - name: id dtype: int64 - name: login dtype: string - name: node_id dtype: string - name: organizations_url dtype: string - name: received_events_url dtype: string - name: repos_url dtype: string - name: site_admin dtype: bool - name: starred_url dtype: string - name: subscriptions_url dtype: string - name: type dtype: string - name: url dtype: string - name: milestone struct: - name: closed_at dtype: string - name: closed_issues dtype: int64 - name: created_at dtype: string - name: creator struct: - name: avatar_url dtype: string - name: events_url dtype: string - name: followers_url dtype: string - name: following_url dtype: string - name: gists_url dtype: string - name: gravatar_id dtype: string - name: html_url dtype: string - name: id dtype: int64 - name: login dtype: string - name: node_id dtype: string - name: organizations_url dtype: string - name: received_events_url dtype: string - name: repos_url dtype: string - name: site_admin dtype: bool - name: starred_url dtype: string - name: subscriptions_url dtype: string - name: type dtype: string - name: url dtype: string - name: description dtype: string - name: due_on dtype: string - name: html_url dtype: string - name: id dtype: int64 - name: labels_url dtype: string - name: node_id dtype: string - name: number dtype: int64 - name: open_issues dtype: int64 - name: state dtype: string - name: title dtype: string - name: updated_at dtype: string - name: url 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: 'null' - name: draft dtype: bool - name: pull_request struct: - name: diff_url dtype: string - name: html_url dtype: string - name: merged_at dtype: string - name: patch_url dtype: string - name: url dtype: string - name: body dtype: string - name: reactions struct: - name: '+1' dtype: int64 - name: '-1' dtype: int64 - name: confused dtype: int64 - name: eyes dtype: int64 - name: heart dtype: int64 - name: hooray dtype: int64 - name: laugh dtype: int64 - name: rocket dtype: int64 - name: total_count dtype: int64 - name: url dtype: string - name: timeline_url dtype: string - name: performed_via_github_app dtype: 'null' - name: state_reason dtype: string - name: is_pull_request dtype: bool splits: - name: train num_bytes: 19943411.093366094 num_examples: 3907 - name: test num_bytes: 1000488.5012285012 num_examples: 196 - name: val num_bytes: 3986640.4054054054 num_examples: 781 download_size: 7953657 dataset_size: 24930540.0 --- # Dataset Card for "y-github-issues" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

Nevo399/orangecocoa

--- license: openrail ---

FreedomIntelligence/MMLU_Italian

--- license: mit --- Italian version of MMLU dataset tranlasted by gpt-3.5-turbo. The dataset is used in the research related to [MultilingualSIFT](https://github.com/FreedomIntelligence/MultilingualSIFT).

ludekcizinsky/epfl-cs502-hw3

--- license: mit ---

andersonbcdefg/captions_triples_unfiltered_bm25

--- dataset_info: features: - name: query dtype: string - name: pos dtype: string - name: neg dtype: string splits: - name: train num_bytes: 40294446 num_examples: 229311 download_size: 21806078 dataset_size: 40294446 configs: - config_name: default data_files: - split: train path: data/train-* ---

open-llm-leaderboard/details_JunchengXie__Mistral-7B-Instruct-v0.2-gpt-4-80k-base_lora

--- pretty_name: Evaluation run of JunchengXie/Mistral-7B-Instruct-v0.2-gpt-4-80k-base_lora dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [JunchengXie/Mistral-7B-Instruct-v0.2-gpt-4-80k-base_lora](https://huggingface.co/JunchengXie/Mistral-7B-Instruct-v0.2-gpt-4-80k-base_lora)\ \ 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_JunchengXie__Mistral-7B-Instruct-v0.2-gpt-4-80k-base_lora\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-03-27T23:59:10.991747](https://huggingface.co/datasets/open-llm-leaderboard/details_JunchengXie__Mistral-7B-Instruct-v0.2-gpt-4-80k-base_lora/blob/main/results_2024-03-27T23-59-10.991747.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\": 0.582160493650072,\n\ \ \"acc_stderr\": 0.03365366470977369,\n \"acc_norm\": 0.5887215545601854,\n\ \ \"acc_norm_stderr\": 0.03434852603389613,\n \"mc1\": 0.5177478580171359,\n\ \ \"mc1_stderr\": 0.017492470843075356,\n \"mc2\": 0.6831698375539644,\n\ \ \"mc2_stderr\": 0.015593330487456654\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.5665529010238908,\n \"acc_stderr\": 0.014481376224558902,\n\ \ \"acc_norm\": 0.5947098976109215,\n \"acc_norm_stderr\": 0.014346869060229321\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6102370045807608,\n\ \ \"acc_stderr\": 0.004866997110388195,\n \"acc_norm\": 0.7969527982473611,\n\ \ \"acc_norm_stderr\": 0.0040144524737232646\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ : {\n \"acc\": 0.29,\n \"acc_stderr\": 0.04560480215720683,\n \ \ \"acc_norm\": 0.29,\n \"acc_norm_stderr\": 0.04560480215720683\n \ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.5777777777777777,\n\ \ \"acc_stderr\": 0.04266763404099582,\n \"acc_norm\": 0.5777777777777777,\n\ \ \"acc_norm_stderr\": 0.04266763404099582\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\": 0.56,\n\ \ \"acc_stderr\": 0.04988876515698589,\n \"acc_norm\": 0.56,\n \ \ \"acc_norm_stderr\": 0.04988876515698589\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.6452830188679245,\n \"acc_stderr\": 0.02944517532819959,\n\ \ \"acc_norm\": 0.6452830188679245,\n \"acc_norm_stderr\": 0.02944517532819959\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.6388888888888888,\n\ \ \"acc_stderr\": 0.04016660030451233,\n \"acc_norm\": 0.6388888888888888,\n\ \ \"acc_norm_stderr\": 0.04016660030451233\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\": 0.49,\n \"acc_stderr\": 0.05024183937956912,\n \"acc_norm\"\ : 0.49,\n \"acc_norm_stderr\": 0.05024183937956912\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ : {\n \"acc\": 0.35,\n \"acc_stderr\": 0.047937248544110196,\n \ \ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.047937248544110196\n \ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.5549132947976878,\n\ \ \"acc_stderr\": 0.03789401760283647,\n \"acc_norm\": 0.5549132947976878,\n\ \ \"acc_norm_stderr\": 0.03789401760283647\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.4117647058823529,\n \"acc_stderr\": 0.04897104952726368,\n\ \ \"acc_norm\": 0.4117647058823529,\n \"acc_norm_stderr\": 0.04897104952726368\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.69,\n \"acc_stderr\": 0.04648231987117316,\n \"acc_norm\": 0.69,\n\ \ \"acc_norm_stderr\": 0.04648231987117316\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.48936170212765956,\n \"acc_stderr\": 0.03267862331014063,\n\ \ \"acc_norm\": 0.48936170212765956,\n \"acc_norm_stderr\": 0.03267862331014063\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.4473684210526316,\n\ \ \"acc_stderr\": 0.046774730044911984,\n \"acc_norm\": 0.4473684210526316,\n\ \ \"acc_norm_stderr\": 0.046774730044911984\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\"\ : 0.38095238095238093,\n \"acc_stderr\": 0.025010749116137595,\n \"\ acc_norm\": 0.38095238095238093,\n \"acc_norm_stderr\": 0.025010749116137595\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.38095238095238093,\n\ \ \"acc_stderr\": 0.04343525428949098,\n \"acc_norm\": 0.38095238095238093,\n\ \ \"acc_norm_stderr\": 0.04343525428949098\n },\n \"harness|hendrycksTest-global_facts|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-high_school_biology|5\": {\n \"acc\"\ : 0.6064516129032258,\n \"acc_stderr\": 0.027791878753132274,\n \"\ acc_norm\": 0.6064516129032258,\n \"acc_norm_stderr\": 0.027791878753132274\n\ \ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\ : 0.4729064039408867,\n \"acc_stderr\": 0.03512819077876106,\n \"\ acc_norm\": 0.4729064039408867,\n \"acc_norm_stderr\": 0.03512819077876106\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|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-high_school_european_history|5\"\ : {\n \"acc\": 0.7515151515151515,\n \"acc_stderr\": 0.033744026441394036,\n\ \ \"acc_norm\": 0.7515151515151515,\n \"acc_norm_stderr\": 0.033744026441394036\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.7272727272727273,\n \"acc_stderr\": 0.03173071239071724,\n \"\ acc_norm\": 0.7272727272727273,\n \"acc_norm_stderr\": 0.03173071239071724\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.8341968911917098,\n \"acc_stderr\": 0.026839845022314415,\n\ \ \"acc_norm\": 0.8341968911917098,\n \"acc_norm_stderr\": 0.026839845022314415\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.5384615384615384,\n \"acc_stderr\": 0.025275892070240648,\n\ \ \"acc_norm\": 0.5384615384615384,\n \"acc_norm_stderr\": 0.025275892070240648\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.2814814814814815,\n \"acc_stderr\": 0.027420019350945277,\n \ \ \"acc_norm\": 0.2814814814814815,\n \"acc_norm_stderr\": 0.027420019350945277\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.6260504201680672,\n \"acc_stderr\": 0.03142946637883708,\n \ \ \"acc_norm\": 0.6260504201680672,\n \"acc_norm_stderr\": 0.03142946637883708\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.3708609271523179,\n \"acc_stderr\": 0.03943966699183629,\n \"\ acc_norm\": 0.3708609271523179,\n \"acc_norm_stderr\": 0.03943966699183629\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.7577981651376147,\n \"acc_stderr\": 0.018368176306598618,\n \"\ acc_norm\": 0.7577981651376147,\n \"acc_norm_stderr\": 0.018368176306598618\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.4351851851851852,\n \"acc_stderr\": 0.03381200005643525,\n \"\ acc_norm\": 0.4351851851851852,\n \"acc_norm_stderr\": 0.03381200005643525\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.7352941176470589,\n \"acc_stderr\": 0.030964517926923393,\n \"\ acc_norm\": 0.7352941176470589,\n \"acc_norm_stderr\": 0.030964517926923393\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\": 0.6143497757847534,\n\ \ \"acc_stderr\": 0.03266842214289202,\n \"acc_norm\": 0.6143497757847534,\n\ \ \"acc_norm_stderr\": 0.03266842214289202\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.6870229007633588,\n \"acc_stderr\": 0.04066962905677698,\n\ \ \"acc_norm\": 0.6870229007633588,\n \"acc_norm_stderr\": 0.04066962905677698\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.743801652892562,\n \"acc_stderr\": 0.03984979653302872,\n \"acc_norm\"\ : 0.743801652892562,\n \"acc_norm_stderr\": 0.03984979653302872\n },\n\ \ \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7314814814814815,\n\ \ \"acc_stderr\": 0.042844679680521934,\n \"acc_norm\": 0.7314814814814815,\n\ \ \"acc_norm_stderr\": 0.042844679680521934\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.6993865030674846,\n \"acc_stderr\": 0.03602511318806771,\n\ \ \"acc_norm\": 0.6993865030674846,\n \"acc_norm_stderr\": 0.03602511318806771\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\": 0.044986763205729224,\n\ \ \"acc_norm\": 0.7087378640776699,\n \"acc_norm_stderr\": 0.044986763205729224\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8461538461538461,\n\ \ \"acc_stderr\": 0.02363687331748929,\n \"acc_norm\": 0.8461538461538461,\n\ \ \"acc_norm_stderr\": 0.02363687331748929\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.66,\n \"acc_stderr\": 0.04760952285695237,\n \ \ \"acc_norm\": 0.66,\n \"acc_norm_stderr\": 0.04760952285695237\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.768837803320562,\n\ \ \"acc_stderr\": 0.015075523238101081,\n \"acc_norm\": 0.768837803320562,\n\ \ \"acc_norm_stderr\": 0.015075523238101081\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.6445086705202312,\n \"acc_stderr\": 0.025770292082977254,\n\ \ \"acc_norm\": 0.6445086705202312,\n \"acc_norm_stderr\": 0.025770292082977254\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.2916201117318436,\n\ \ \"acc_stderr\": 0.015201032512520439,\n \"acc_norm\": 0.2916201117318436,\n\ \ \"acc_norm_stderr\": 0.015201032512520439\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.6339869281045751,\n \"acc_stderr\": 0.02758281141515961,\n\ \ \"acc_norm\": 0.6339869281045751,\n \"acc_norm_stderr\": 0.02758281141515961\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.6463022508038585,\n\ \ \"acc_stderr\": 0.027155208103200868,\n \"acc_norm\": 0.6463022508038585,\n\ \ \"acc_norm_stderr\": 0.027155208103200868\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.6697530864197531,\n \"acc_stderr\": 0.026168298456732846,\n\ \ \"acc_norm\": 0.6697530864197531,\n \"acc_norm_stderr\": 0.026168298456732846\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.4574468085106383,\n \"acc_stderr\": 0.029719281272236855,\n \ \ \"acc_norm\": 0.4574468085106383,\n \"acc_norm_stderr\": 0.029719281272236855\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.41264667535853977,\n\ \ \"acc_stderr\": 0.012573836633799015,\n \"acc_norm\": 0.41264667535853977,\n\ \ \"acc_norm_stderr\": 0.012573836633799015\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.6102941176470589,\n \"acc_stderr\": 0.02962466358115969,\n\ \ \"acc_norm\": 0.6102941176470589,\n \"acc_norm_stderr\": 0.02962466358115969\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.619281045751634,\n \"acc_stderr\": 0.019643801557924803,\n \ \ \"acc_norm\": 0.619281045751634,\n \"acc_norm_stderr\": 0.019643801557924803\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.7,\n\ \ \"acc_stderr\": 0.04389311454644287,\n \"acc_norm\": 0.7,\n \ \ \"acc_norm_stderr\": 0.04389311454644287\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.6693877551020408,\n \"acc_stderr\": 0.0301164262965406,\n\ \ \"acc_norm\": 0.6693877551020408,\n \"acc_norm_stderr\": 0.0301164262965406\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.6318407960199005,\n\ \ \"acc_stderr\": 0.034104105654953025,\n \"acc_norm\": 0.6318407960199005,\n\ \ \"acc_norm_stderr\": 0.034104105654953025\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.78,\n \"acc_stderr\": 0.041633319989322626,\n \ \ \"acc_norm\": 0.78,\n \"acc_norm_stderr\": 0.041633319989322626\n \ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.4759036144578313,\n\ \ \"acc_stderr\": 0.03887971849597264,\n \"acc_norm\": 0.4759036144578313,\n\ \ \"acc_norm_stderr\": 0.03887971849597264\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.8187134502923976,\n \"acc_stderr\": 0.029547741687640038,\n\ \ \"acc_norm\": 0.8187134502923976,\n \"acc_norm_stderr\": 0.029547741687640038\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.5177478580171359,\n\ \ \"mc1_stderr\": 0.017492470843075356,\n \"mc2\": 0.6831698375539644,\n\ \ \"mc2_stderr\": 0.015593330487456654\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.7032359905288083,\n \"acc_stderr\": 0.012839239695202025\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.288855193328279,\n \ \ \"acc_stderr\": 0.012484219800126673\n }\n}\n```" repo_url: https://huggingface.co/JunchengXie/Mistral-7B-Instruct-v0.2-gpt-4-80k-base_lora 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_27T23_59_10.991747 path: - '**/details_harness|arc:challenge|25_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2024-03-27T23-59-10.991747.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '**/details_harness|gsm8k|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_03_27T23_59_10.991747 path: - '**/details_harness|hellaswag|10_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-management|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-management|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-03-27T23-59-10.991747.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '**/details_harness|hendrycksTest-anatomy|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '**/details_harness|hendrycksTest-astronomy|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '**/details_harness|hendrycksTest-college_biology|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '**/details_harness|hendrycksTest-college_physics|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '**/details_harness|hendrycksTest-computer_security|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '**/details_harness|hendrycksTest-econometrics|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '**/details_harness|hendrycksTest-global_facts|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '**/details_harness|hendrycksTest-human_aging|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '**/details_harness|hendrycksTest-international_law|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '**/details_harness|hendrycksTest-management|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '**/details_harness|hendrycksTest-marketing|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '**/details_harness|hendrycksTest-nutrition|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '**/details_harness|hendrycksTest-philosophy|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '**/details_harness|hendrycksTest-prehistory|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '**/details_harness|hendrycksTest-professional_law|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '**/details_harness|hendrycksTest-public_relations|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '**/details_harness|hendrycksTest-security_studies|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '**/details_harness|hendrycksTest-sociology|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '**/details_harness|hendrycksTest-virology|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '**/details_harness|hendrycksTest-world_religions|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2024-03-27T23-59-10.991747.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_03_27T23_59_10.991747 path: - '**/details_harness|truthfulqa:mc|0_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2024-03-27T23-59-10.991747.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_03_27T23_59_10.991747 path: - '**/details_harness|winogrande|5_2024-03-27T23-59-10.991747.parquet' - split: latest path: - '**/details_harness|winogrande|5_2024-03-27T23-59-10.991747.parquet' - config_name: results data_files: - split: 2024_03_27T23_59_10.991747 path: - results_2024-03-27T23-59-10.991747.parquet - split: latest path: - results_2024-03-27T23-59-10.991747.parquet --- # Dataset Card for Evaluation run of JunchengXie/Mistral-7B-Instruct-v0.2-gpt-4-80k-base_lora  Dataset automatically created during the evaluation run of model [JunchengXie/Mistral-7B-Instruct-v0.2-gpt-4-80k-base_lora](https://huggingface.co/JunchengXie/Mistral-7B-Instruct-v0.2-gpt-4-80k-base_lora) 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_JunchengXie__Mistral-7B-Instruct-v0.2-gpt-4-80k-base_lora", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-03-27T23:59:10.991747](https://huggingface.co/datasets/open-llm-leaderboard/details_JunchengXie__Mistral-7B-Instruct-v0.2-gpt-4-80k-base_lora/blob/main/results_2024-03-27T23-59-10.991747.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": 0.582160493650072, "acc_stderr": 0.03365366470977369, "acc_norm": 0.5887215545601854, "acc_norm_stderr": 0.03434852603389613, "mc1": 0.5177478580171359, "mc1_stderr": 0.017492470843075356, "mc2": 0.6831698375539644, "mc2_stderr": 0.015593330487456654 }, "harness|arc:challenge|25": { "acc": 0.5665529010238908, "acc_stderr": 0.014481376224558902, "acc_norm": 0.5947098976109215, "acc_norm_stderr": 0.014346869060229321 }, "harness|hellaswag|10": { "acc": 0.6102370045807608, "acc_stderr": 0.004866997110388195, "acc_norm": 0.7969527982473611, "acc_norm_stderr": 0.0040144524737232646 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.29, "acc_stderr": 0.04560480215720683, "acc_norm": 0.29, "acc_norm_stderr": 0.04560480215720683 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.5777777777777777, "acc_stderr": 0.04266763404099582, "acc_norm": 0.5777777777777777, "acc_norm_stderr": 0.04266763404099582 }, "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": 0.56, "acc_stderr": 0.04988876515698589, "acc_norm": 0.56, "acc_norm_stderr": 0.04988876515698589 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.6452830188679245, "acc_stderr": 0.02944517532819959, "acc_norm": 0.6452830188679245, "acc_norm_stderr": 0.02944517532819959 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.6388888888888888, "acc_stderr": 0.04016660030451233, "acc_norm": 0.6388888888888888, "acc_norm_stderr": 0.04016660030451233 }, "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": 0.49, "acc_stderr": 0.05024183937956912, "acc_norm": 0.49, "acc_norm_stderr": 0.05024183937956912 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.35, "acc_stderr": 0.047937248544110196, "acc_norm": 0.35, "acc_norm_stderr": 0.047937248544110196 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.5549132947976878, "acc_stderr": 0.03789401760283647, "acc_norm": 0.5549132947976878, "acc_norm_stderr": 0.03789401760283647 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.4117647058823529, "acc_stderr": 0.04897104952726368, "acc_norm": 0.4117647058823529, "acc_norm_stderr": 0.04897104952726368 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.69, "acc_stderr": 0.04648231987117316, "acc_norm": 0.69, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.48936170212765956, "acc_stderr": 0.03267862331014063, "acc_norm": 0.48936170212765956, "acc_norm_stderr": 0.03267862331014063 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.4473684210526316, "acc_stderr": 0.046774730044911984, "acc_norm": 0.4473684210526316, "acc_norm_stderr": 0.046774730044911984 }, "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": 0.38095238095238093, "acc_stderr": 0.025010749116137595, "acc_norm": 0.38095238095238093, "acc_norm_stderr": 0.025010749116137595 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.38095238095238093, "acc_stderr": 0.04343525428949098, "acc_norm": 0.38095238095238093, "acc_norm_stderr": 0.04343525428949098 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.41, "acc_stderr": 0.049431107042371025, "acc_norm": 0.41, "acc_norm_stderr": 0.049431107042371025 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.6064516129032258, "acc_stderr": 0.027791878753132274, "acc_norm": 0.6064516129032258, "acc_norm_stderr": 0.027791878753132274 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.4729064039408867, "acc_stderr": 0.03512819077876106, "acc_norm": 0.4729064039408867, "acc_norm_stderr": 0.03512819077876106 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.58, "acc_stderr": 0.049604496374885836, "acc_norm": 0.58, "acc_norm_stderr": 0.049604496374885836 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.7515151515151515, "acc_stderr": 0.033744026441394036, "acc_norm": 0.7515151515151515, "acc_norm_stderr": 0.033744026441394036 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.7272727272727273, "acc_stderr": 0.03173071239071724, "acc_norm": 0.7272727272727273, "acc_norm_stderr": 0.03173071239071724 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.8341968911917098, "acc_stderr": 0.026839845022314415, "acc_norm": 0.8341968911917098, "acc_norm_stderr": 0.026839845022314415 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.5384615384615384, "acc_stderr": 0.025275892070240648, "acc_norm": 0.5384615384615384, "acc_norm_stderr": 0.025275892070240648 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.2814814814814815, "acc_stderr": 0.027420019350945277, "acc_norm": 0.2814814814814815, "acc_norm_stderr": 0.027420019350945277 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.6260504201680672, "acc_stderr": 0.03142946637883708, "acc_norm": 0.6260504201680672, "acc_norm_stderr": 0.03142946637883708 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.3708609271523179, "acc_stderr": 0.03943966699183629, "acc_norm": 0.3708609271523179, "acc_norm_stderr": 0.03943966699183629 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.7577981651376147, "acc_stderr": 0.018368176306598618, "acc_norm": 0.7577981651376147, "acc_norm_stderr": 0.018368176306598618 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.4351851851851852, "acc_stderr": 0.03381200005643525, "acc_norm": 0.4351851851851852, "acc_norm_stderr": 0.03381200005643525 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.7352941176470589, "acc_stderr": 0.030964517926923393, "acc_norm": 0.7352941176470589, "acc_norm_stderr": 0.030964517926923393 }, "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": 0.6143497757847534, "acc_stderr": 0.03266842214289202, "acc_norm": 0.6143497757847534, "acc_norm_stderr": 0.03266842214289202 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.6870229007633588, "acc_stderr": 0.04066962905677698, "acc_norm": 0.6870229007633588, "acc_norm_stderr": 0.04066962905677698 }, "harness|hendrycksTest-international_law|5": { "acc": 0.743801652892562, "acc_stderr": 0.03984979653302872, "acc_norm": 0.743801652892562, "acc_norm_stderr": 0.03984979653302872 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.7314814814814815, "acc_stderr": 0.042844679680521934, "acc_norm": 0.7314814814814815, "acc_norm_stderr": 0.042844679680521934 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.6993865030674846, "acc_stderr": 0.03602511318806771, "acc_norm": 0.6993865030674846, "acc_norm_stderr": 0.03602511318806771 }, "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": 0.044986763205729224, "acc_norm": 0.7087378640776699, "acc_norm_stderr": 0.044986763205729224 }, "harness|hendrycksTest-marketing|5": { "acc": 0.8461538461538461, "acc_stderr": 0.02363687331748929, "acc_norm": 0.8461538461538461, "acc_norm_stderr": 0.02363687331748929 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.66, "acc_stderr": 0.04760952285695237, "acc_norm": 0.66, "acc_norm_stderr": 0.04760952285695237 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.768837803320562, "acc_stderr": 0.015075523238101081, "acc_norm": 0.768837803320562, "acc_norm_stderr": 0.015075523238101081 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.6445086705202312, "acc_stderr": 0.025770292082977254, "acc_norm": 0.6445086705202312, "acc_norm_stderr": 0.025770292082977254 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.2916201117318436, "acc_stderr": 0.015201032512520439, "acc_norm": 0.2916201117318436, "acc_norm_stderr": 0.015201032512520439 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.6339869281045751, "acc_stderr": 0.02758281141515961, "acc_norm": 0.6339869281045751, "acc_norm_stderr": 0.02758281141515961 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.6463022508038585, "acc_stderr": 0.027155208103200868, "acc_norm": 0.6463022508038585, "acc_norm_stderr": 0.027155208103200868 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.6697530864197531, "acc_stderr": 0.026168298456732846, "acc_norm": 0.6697530864197531, "acc_norm_stderr": 0.026168298456732846 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.4574468085106383, "acc_stderr": 0.029719281272236855, "acc_norm": 0.4574468085106383, "acc_norm_stderr": 0.029719281272236855 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.41264667535853977, "acc_stderr": 0.012573836633799015, "acc_norm": 0.41264667535853977, "acc_norm_stderr": 0.012573836633799015 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.6102941176470589, "acc_stderr": 0.02962466358115969, "acc_norm": 0.6102941176470589, "acc_norm_stderr": 0.02962466358115969 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.619281045751634, "acc_stderr": 0.019643801557924803, "acc_norm": 0.619281045751634, "acc_norm_stderr": 0.019643801557924803 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.7, "acc_stderr": 0.04389311454644287, "acc_norm": 0.7, "acc_norm_stderr": 0.04389311454644287 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.6693877551020408, "acc_stderr": 0.0301164262965406, "acc_norm": 0.6693877551020408, "acc_norm_stderr": 0.0301164262965406 }, "harness|hendrycksTest-sociology|5": { "acc": 0.6318407960199005, "acc_stderr": 0.034104105654953025, "acc_norm": 0.6318407960199005, "acc_norm_stderr": 0.034104105654953025 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.78, "acc_stderr": 0.041633319989322626, "acc_norm": 0.78, "acc_norm_stderr": 0.041633319989322626 }, "harness|hendrycksTest-virology|5": { "acc": 0.4759036144578313, "acc_stderr": 0.03887971849597264, "acc_norm": 0.4759036144578313, "acc_norm_stderr": 0.03887971849597264 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.8187134502923976, "acc_stderr": 0.029547741687640038, "acc_norm": 0.8187134502923976, "acc_norm_stderr": 0.029547741687640038 }, "harness|truthfulqa:mc|0": { "mc1": 0.5177478580171359, "mc1_stderr": 0.017492470843075356, "mc2": 0.6831698375539644, "mc2_stderr": 0.015593330487456654 }, "harness|winogrande|5": { "acc": 0.7032359905288083, "acc_stderr": 0.012839239695202025 }, "harness|gsm8k|5": { "acc": 0.288855193328279, "acc_stderr": 0.012484219800126673 } } ``` ## 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]

quocanh34/HNAG_new_cut_final

--- dataset_info: features: - name: audio dtype: audio: sampling_rate: 16000 - name: transcription dtype: string - name: w2v2_transcription dtype: string - name: WER dtype: int64 splits: - name: train num_bytes: 17336493.0 num_examples: 221 download_size: 17334343 dataset_size: 17336493.0 --- # Dataset Card for "HNAG_new_cut_final" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

open-llm-leaderboard/details_ehartford__Wizard-Vicuna-30B-Uncensored

--- pretty_name: Evaluation run of ehartford/Wizard-Vicuna-30B-Uncensored dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [ehartford/Wizard-Vicuna-30B-Uncensored](https://huggingface.co/ehartford/Wizard-Vicuna-30B-Uncensored)\ \ 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_ehartford__Wizard-Vicuna-30B-Uncensored\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-10-18T12:57:01.368480](https://huggingface.co/datasets/open-llm-leaderboard/details_ehartford__Wizard-Vicuna-30B-Uncensored/blob/main/results_2023-10-18T12-57-01.368480.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\": 0.18162751677852348,\n\ \ \"em_stderr\": 0.0039482621737543045,\n \"f1\": 0.2674087667785243,\n\ \ \"f1_stderr\": 0.004012090110572664,\n \"acc\": 0.46353130406008236,\n\ \ \"acc_stderr\": 0.01059244186586655\n },\n \"harness|drop|3\": {\n\ \ \"em\": 0.18162751677852348,\n \"em_stderr\": 0.0039482621737543045,\n\ \ \"f1\": 0.2674087667785243,\n \"f1_stderr\": 0.004012090110572664\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.1425322213798332,\n \ \ \"acc_stderr\": 0.009629588445673819\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.7845303867403315,\n \"acc_stderr\": 0.011555295286059279\n\ \ }\n}\n```" repo_url: https://huggingface.co/ehartford/Wizard-Vicuna-30B-Uncensored 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_19T22_31_27.283689 path: - '**/details_harness|arc:challenge|25_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2023-07-19T22:31:27.283689.parquet' - config_name: harness_drop_3 data_files: - split: 2023_10_18T12_57_01.368480 path: - '**/details_harness|drop|3_2023-10-18T12-57-01.368480.parquet' - split: latest path: - '**/details_harness|drop|3_2023-10-18T12-57-01.368480.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_10_18T12_57_01.368480 path: - '**/details_harness|gsm8k|5_2023-10-18T12-57-01.368480.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2023-10-18T12-57-01.368480.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_07_19T22_31_27.283689 path: - '**/details_harness|hellaswag|10_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-management|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-management|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-07-19T22:31:27.283689.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '**/details_harness|hendrycksTest-international_law|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '**/details_harness|hendrycksTest-management|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '**/details_harness|hendrycksTest-marketing|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '**/details_harness|hendrycksTest-sociology|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '**/details_harness|hendrycksTest-virology|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_07_19T22_31_27.283689 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2023-07-19T22:31:27.283689.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_07_19T22_31_27.283689 path: - '**/details_harness|truthfulqa:mc|0_2023-07-19T22:31:27.283689.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2023-07-19T22:31:27.283689.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_10_18T12_57_01.368480 path: - '**/details_harness|winogrande|5_2023-10-18T12-57-01.368480.parquet' - split: latest path: - '**/details_harness|winogrande|5_2023-10-18T12-57-01.368480.parquet' - config_name: results data_files: - split: 2023_07_19T22_31_27.283689 path: - results_2023-07-19T22:31:27.283689.parquet - split: 2023_10_18T12_57_01.368480 path: - results_2023-10-18T12-57-01.368480.parquet - split: latest path: - results_2023-10-18T12-57-01.368480.parquet --- # Dataset Card for Evaluation run of ehartford/Wizard-Vicuna-30B-Uncensored ## Dataset Description - **Homepage:** - **Repository:** https://huggingface.co/ehartford/Wizard-Vicuna-30B-Uncensored - **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 [ehartford/Wizard-Vicuna-30B-Uncensored](https://huggingface.co/ehartford/Wizard-Vicuna-30B-Uncensored) 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_ehartford__Wizard-Vicuna-30B-Uncensored", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-10-18T12:57:01.368480](https://huggingface.co/datasets/open-llm-leaderboard/details_ehartford__Wizard-Vicuna-30B-Uncensored/blob/main/results_2023-10-18T12-57-01.368480.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": 0.18162751677852348, "em_stderr": 0.0039482621737543045, "f1": 0.2674087667785243, "f1_stderr": 0.004012090110572664, "acc": 0.46353130406008236, "acc_stderr": 0.01059244186586655 }, "harness|drop|3": { "em": 0.18162751677852348, "em_stderr": 0.0039482621737543045, "f1": 0.2674087667785243, "f1_stderr": 0.004012090110572664 }, "harness|gsm8k|5": { "acc": 0.1425322213798332, "acc_stderr": 0.009629588445673819 }, "harness|winogrande|5": { "acc": 0.7845303867403315, "acc_stderr": 0.011555295286059279 } } ``` ### 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]

aureliojafer/twitter_dataset_1709851292

--- 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 splits: - name: train num_bytes: 95669 num_examples: 315 download_size: 58873 dataset_size: 95669 configs: - config_name: default data_files: - split: train path: data/train-* ---

liuyanchen1015/MULTI_VALUE_mnli_those_them

--- 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: 57212 num_examples: 218 - name: dev_mismatched num_bytes: 78118 num_examples: 274 - name: test_matched num_bytes: 57699 num_examples: 220 - name: test_mismatched num_bytes: 59977 num_examples: 210 - name: train num_bytes: 2021086 num_examples: 7730 download_size: 1301637 dataset_size: 2274092 --- # Dataset Card for "MULTI_VALUE_mnli_those_them" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

sorenmulli/da-hashtag-twitterhjerne

--- dataset_info: features: - name: Question dtype: string - name: Answer 1 dtype: string - name: Answer 2 dtype: string - name: Answer 3 dtype: string - name: Answer 4 dtype: string - name: Answer 5 dtype: string - name: Answer 6 dtype: string - name: 'Unnamed: 8' dtype: string - name: 'Unnamed: 9' dtype: string splits: - name: train num_bytes: 51635 num_examples: 78 download_size: 50291 dataset_size: 51635 configs: - config_name: default data_files: - split: train path: data/train-* --- # [WIP] Dataset Card for "da-hashtag-twitterhjerne" *Please note that this dataset and dataset card both are works in progress. For now refer to the related [thesis](https://sorenmulli.github.io/thesis/thesis.pdf) for all details*

richardr1126/spider-skeleton-context-instruct

--- language: - en license: - cc-by-4.0 source_datasets: - spider pretty_name: Spider Skeleton Context Instruct tags: - text-to-sql - SQL - Spider - fine-tune dataset_info: features: - name: db_id dtype: string - name: text dtype: string --- # Dataset Card for Spider Skeleton Context Instruct ### Dataset Summary Spider is a large-scale complex and cross-domain semantic parsing and text-to-SQL dataset annotated by 11 Yale students The goal of the Spider challenge is to develop natural language interfaces to cross-domain databases. This dataset was created to finetune LLMs in a `### Instruction:` and `### Response:` format with database context. ### Yale Lily Spider Leaderboards The leaderboard can be seen at https://yale-lily.github.io/spider ### Languages The text in the dataset is in English. ### Licensing Information The spider dataset is licensed under the [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/legalcode) ### Citation ``` @article{yu2018spider, title={Spider: A large-scale human-labeled dataset for complex and cross-domain semantic parsing and text-to-sql task}, author={Yu, Tao and Zhang, Rui and Yang, Kai and Yasunaga, Michihiro and Wang, Dongxu and Li, Zifan and Ma, James and Li, Irene and Yao, Qingning and Roman, Shanelle and others}, journal={arXiv preprint arXiv:1809.08887}, year={2018} } ```

samrm/mini-platypus

--- dataset_info: features: - name: instruction dtype: string - name: output dtype: string splits: - name: train num_bytes: 4186564 num_examples: 1000 download_size: 2245921 dataset_size: 4186564 configs: - config_name: default data_files: - split: train path: data/train-* ---

MITCriticalData/SAT1_dataset_5_top_cities

--- license: mit ---

jonasantos5240/marvin

--- license: openrail ---

xwjiang2010/pile_dedupe_val

--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 6062337711 num_examples: 1000000 download_size: 3343428302 dataset_size: 6062337711 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "pile_dedupe_val" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

open-llm-leaderboard/details_mwitiderrick__shearedplats-2.7b-v2-instruct-v0.1

--- pretty_name: Evaluation run of mwitiderrick/shearedplats-2.7b-v2-instruct-v0.1 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [mwitiderrick/shearedplats-2.7b-v2-instruct-v0.1](https://huggingface.co/mwitiderrick/shearedplats-2.7b-v2-instruct-v0.1)\ \ 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_mwitiderrick__shearedplats-2.7b-v2-instruct-v0.1\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-12-09T18:49:52.400292](https://huggingface.co/datasets/open-llm-leaderboard/details_mwitiderrick__shearedplats-2.7b-v2-instruct-v0.1/blob/main/results_2023-12-09T18-49-52.400292.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\": 0.2882361931913223,\n\ \ \"acc_stderr\": 0.031895486998552665,\n \"acc_norm\": 0.2903928342274915,\n\ \ \"acc_norm_stderr\": 0.03267939625046512,\n \"mc1\": 0.2729498164014688,\n\ \ \"mc1_stderr\": 0.015594753632006535,\n \"mc2\": 0.41227748774876055,\n\ \ \"mc2_stderr\": 0.014572961912704371\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.3660409556313993,\n \"acc_stderr\": 0.01407722310847014,\n\ \ \"acc_norm\": 0.40187713310580203,\n \"acc_norm_stderr\": 0.014327268614578274\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.5142401911969727,\n\ \ \"acc_stderr\": 0.00498775731476984,\n \"acc_norm\": 0.7007568213503286,\n\ \ \"acc_norm_stderr\": 0.00456990648509029\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ : {\n \"acc\": 0.23,\n \"acc_stderr\": 0.04229525846816506,\n \ \ \"acc_norm\": 0.23,\n \"acc_norm_stderr\": 0.04229525846816506\n \ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.31851851851851853,\n\ \ \"acc_stderr\": 0.040247784019771096,\n \"acc_norm\": 0.31851851851851853,\n\ \ \"acc_norm_stderr\": 0.040247784019771096\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.21052631578947367,\n \"acc_stderr\": 0.03317672787533157,\n\ \ \"acc_norm\": 0.21052631578947367,\n \"acc_norm_stderr\": 0.03317672787533157\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.36,\n\ \ \"acc_stderr\": 0.04824181513244218,\n \"acc_norm\": 0.36,\n \ \ \"acc_norm_stderr\": 0.04824181513244218\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.2830188679245283,\n \"acc_stderr\": 0.027724236492700904,\n\ \ \"acc_norm\": 0.2830188679245283,\n \"acc_norm_stderr\": 0.027724236492700904\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.3263888888888889,\n\ \ \"acc_stderr\": 0.03921067198982266,\n \"acc_norm\": 0.3263888888888889,\n\ \ \"acc_norm_stderr\": 0.03921067198982266\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.2,\n \"acc_stderr\": 0.04020151261036846,\n \ \ \"acc_norm\": 0.2,\n \"acc_norm_stderr\": 0.04020151261036846\n },\n\ \ \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\": 0.31,\n\ \ \"acc_stderr\": 0.046482319871173156,\n \"acc_norm\": 0.31,\n \ \ \"acc_norm_stderr\": 0.046482319871173156\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ : {\n \"acc\": 0.19,\n \"acc_stderr\": 0.03942772444036623,\n \ \ \"acc_norm\": 0.19,\n \"acc_norm_stderr\": 0.03942772444036623\n \ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.2254335260115607,\n\ \ \"acc_stderr\": 0.03186209851641144,\n \"acc_norm\": 0.2254335260115607,\n\ \ \"acc_norm_stderr\": 0.03186209851641144\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.23529411764705882,\n \"acc_stderr\": 0.042207736591714534,\n\ \ \"acc_norm\": 0.23529411764705882,\n \"acc_norm_stderr\": 0.042207736591714534\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.39,\n \"acc_stderr\": 0.04902071300001975,\n \"acc_norm\": 0.39,\n\ \ \"acc_norm_stderr\": 0.04902071300001975\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.31063829787234043,\n \"acc_stderr\": 0.030251237579213174,\n\ \ \"acc_norm\": 0.31063829787234043,\n \"acc_norm_stderr\": 0.030251237579213174\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.22807017543859648,\n\ \ \"acc_stderr\": 0.03947152782669415,\n \"acc_norm\": 0.22807017543859648,\n\ \ \"acc_norm_stderr\": 0.03947152782669415\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.31724137931034485,\n \"acc_stderr\": 0.038783523721386215,\n\ \ \"acc_norm\": 0.31724137931034485,\n \"acc_norm_stderr\": 0.038783523721386215\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.20899470899470898,\n \"acc_stderr\": 0.020940481565334835,\n \"\ acc_norm\": 0.20899470899470898,\n \"acc_norm_stderr\": 0.020940481565334835\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.2857142857142857,\n\ \ \"acc_stderr\": 0.04040610178208841,\n \"acc_norm\": 0.2857142857142857,\n\ \ \"acc_norm_stderr\": 0.04040610178208841\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.27,\n \"acc_stderr\": 0.04461960433384741,\n \ \ \"acc_norm\": 0.27,\n \"acc_norm_stderr\": 0.04461960433384741\n \ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.24516129032258063,\n\ \ \"acc_stderr\": 0.024472243840895525,\n \"acc_norm\": 0.24516129032258063,\n\ \ \"acc_norm_stderr\": 0.024472243840895525\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\ : {\n \"acc\": 0.2413793103448276,\n \"acc_stderr\": 0.030108330718011625,\n\ \ \"acc_norm\": 0.2413793103448276,\n \"acc_norm_stderr\": 0.030108330718011625\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.29,\n \"acc_stderr\": 0.04560480215720684,\n \"acc_norm\"\ : 0.29,\n \"acc_norm_stderr\": 0.04560480215720684\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.2909090909090909,\n \"acc_stderr\": 0.03546563019624335,\n\ \ \"acc_norm\": 0.2909090909090909,\n \"acc_norm_stderr\": 0.03546563019624335\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.29292929292929293,\n \"acc_stderr\": 0.03242497958178815,\n \"\ acc_norm\": 0.29292929292929293,\n \"acc_norm_stderr\": 0.03242497958178815\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.25906735751295334,\n \"acc_stderr\": 0.031618779179354115,\n\ \ \"acc_norm\": 0.25906735751295334,\n \"acc_norm_stderr\": 0.031618779179354115\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.23333333333333334,\n \"acc_stderr\": 0.02144454730156047,\n\ \ \"acc_norm\": 0.23333333333333334,\n \"acc_norm_stderr\": 0.02144454730156047\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.24814814814814815,\n \"acc_stderr\": 0.0263357394040558,\n \ \ \"acc_norm\": 0.24814814814814815,\n \"acc_norm_stderr\": 0.0263357394040558\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.226890756302521,\n \"acc_stderr\": 0.027205371538279496,\n \ \ \"acc_norm\": 0.226890756302521,\n \"acc_norm_stderr\": 0.027205371538279496\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.23841059602649006,\n \"acc_stderr\": 0.034791855725996586,\n \"\ acc_norm\": 0.23841059602649006,\n \"acc_norm_stderr\": 0.034791855725996586\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.28990825688073396,\n \"acc_stderr\": 0.019453066609201597,\n \"\ acc_norm\": 0.28990825688073396,\n \"acc_norm_stderr\": 0.019453066609201597\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.27314814814814814,\n \"acc_stderr\": 0.030388051301678116,\n \"\ acc_norm\": 0.27314814814814814,\n \"acc_norm_stderr\": 0.030388051301678116\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.25980392156862747,\n \"acc_stderr\": 0.03077855467869326,\n \"\ acc_norm\": 0.25980392156862747,\n \"acc_norm_stderr\": 0.03077855467869326\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.31645569620253167,\n \"acc_stderr\": 0.03027497488021898,\n \ \ \"acc_norm\": 0.31645569620253167,\n \"acc_norm_stderr\": 0.03027497488021898\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.29596412556053814,\n\ \ \"acc_stderr\": 0.0306365913486998,\n \"acc_norm\": 0.29596412556053814,\n\ \ \"acc_norm_stderr\": 0.0306365913486998\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.29770992366412213,\n \"acc_stderr\": 0.04010358942462203,\n\ \ \"acc_norm\": 0.29770992366412213,\n \"acc_norm_stderr\": 0.04010358942462203\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.38016528925619836,\n \"acc_stderr\": 0.04431324501968432,\n \"\ acc_norm\": 0.38016528925619836,\n \"acc_norm_stderr\": 0.04431324501968432\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.3333333333333333,\n\ \ \"acc_stderr\": 0.04557239513497751,\n \"acc_norm\": 0.3333333333333333,\n\ \ \"acc_norm_stderr\": 0.04557239513497751\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.32515337423312884,\n \"acc_stderr\": 0.036803503712864616,\n\ \ \"acc_norm\": 0.32515337423312884,\n \"acc_norm_stderr\": 0.036803503712864616\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.29464285714285715,\n\ \ \"acc_stderr\": 0.043270409325787296,\n \"acc_norm\": 0.29464285714285715,\n\ \ \"acc_norm_stderr\": 0.043270409325787296\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.2815533980582524,\n \"acc_stderr\": 0.04453254836326469,\n\ \ \"acc_norm\": 0.2815533980582524,\n \"acc_norm_stderr\": 0.04453254836326469\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.3162393162393162,\n\ \ \"acc_stderr\": 0.030463656747340268,\n \"acc_norm\": 0.3162393162393162,\n\ \ \"acc_norm_stderr\": 0.030463656747340268\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.22,\n \"acc_stderr\": 0.0416333199893227,\n \ \ \"acc_norm\": 0.22,\n \"acc_norm_stderr\": 0.0416333199893227\n },\n\ \ \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.37292464878671777,\n\ \ \"acc_stderr\": 0.017292868269453924,\n \"acc_norm\": 0.37292464878671777,\n\ \ \"acc_norm_stderr\": 0.017292868269453924\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.32947976878612717,\n \"acc_stderr\": 0.025305258131879716,\n\ \ \"acc_norm\": 0.32947976878612717,\n \"acc_norm_stderr\": 0.025305258131879716\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.2558659217877095,\n\ \ \"acc_stderr\": 0.014593620923210742,\n \"acc_norm\": 0.2558659217877095,\n\ \ \"acc_norm_stderr\": 0.014593620923210742\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.26143790849673204,\n \"acc_stderr\": 0.025160998214292456,\n\ \ \"acc_norm\": 0.26143790849673204,\n \"acc_norm_stderr\": 0.025160998214292456\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.2990353697749196,\n\ \ \"acc_stderr\": 0.02600330111788513,\n \"acc_norm\": 0.2990353697749196,\n\ \ \"acc_norm_stderr\": 0.02600330111788513\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.3271604938271605,\n \"acc_stderr\": 0.026105673861409825,\n\ \ \"acc_norm\": 0.3271604938271605,\n \"acc_norm_stderr\": 0.026105673861409825\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.29432624113475175,\n \"acc_stderr\": 0.027187127011503793,\n \ \ \"acc_norm\": 0.29432624113475175,\n \"acc_norm_stderr\": 0.027187127011503793\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.28096479791395046,\n\ \ \"acc_stderr\": 0.011479684550077692,\n \"acc_norm\": 0.28096479791395046,\n\ \ \"acc_norm_stderr\": 0.011479684550077692\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.20220588235294118,\n \"acc_stderr\": 0.024398192986654924,\n\ \ \"acc_norm\": 0.20220588235294118,\n \"acc_norm_stderr\": 0.024398192986654924\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.2875816993464052,\n \"acc_stderr\": 0.018311653053648222,\n \ \ \"acc_norm\": 0.2875816993464052,\n \"acc_norm_stderr\": 0.018311653053648222\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.2909090909090909,\n\ \ \"acc_stderr\": 0.04350271442923243,\n \"acc_norm\": 0.2909090909090909,\n\ \ \"acc_norm_stderr\": 0.04350271442923243\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.22040816326530613,\n \"acc_stderr\": 0.026537045312145287,\n\ \ \"acc_norm\": 0.22040816326530613,\n \"acc_norm_stderr\": 0.026537045312145287\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.32338308457711445,\n\ \ \"acc_stderr\": 0.033076159479790326,\n \"acc_norm\": 0.32338308457711445,\n\ \ \"acc_norm_stderr\": 0.033076159479790326\n },\n \"harness|hendrycksTest-us_foreign_policy|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-virology|5\": {\n \"acc\": 0.3072289156626506,\n\ \ \"acc_stderr\": 0.035915667978246635,\n \"acc_norm\": 0.3072289156626506,\n\ \ \"acc_norm_stderr\": 0.035915667978246635\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.32748538011695905,\n \"acc_stderr\": 0.035993357714560276,\n\ \ \"acc_norm\": 0.32748538011695905,\n \"acc_norm_stderr\": 0.035993357714560276\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.2729498164014688,\n\ \ \"mc1_stderr\": 0.015594753632006535,\n \"mc2\": 0.41227748774876055,\n\ \ \"mc2_stderr\": 0.014572961912704371\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.6503551696921863,\n \"acc_stderr\": 0.013402073680850515\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.02122820318423048,\n \ \ \"acc_stderr\": 0.003970449129848635\n }\n}\n```" repo_url: https://huggingface.co/mwitiderrick/shearedplats-2.7b-v2-instruct-v0.1 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_09T18_49_52.400292 path: - '**/details_harness|arc:challenge|25_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2023-12-09T18-49-52.400292.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '**/details_harness|gsm8k|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_12_09T18_49_52.400292 path: - '**/details_harness|hellaswag|10_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-management|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-management|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-12-09T18-49-52.400292.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '**/details_harness|hendrycksTest-management|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '**/details_harness|hendrycksTest-virology|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-09T18-49-52.400292.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_12_09T18_49_52.400292 path: - '**/details_harness|truthfulqa:mc|0_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2023-12-09T18-49-52.400292.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_12_09T18_49_52.400292 path: - '**/details_harness|winogrande|5_2023-12-09T18-49-52.400292.parquet' - split: latest path: - '**/details_harness|winogrande|5_2023-12-09T18-49-52.400292.parquet' - config_name: results data_files: - split: 2023_12_09T18_49_52.400292 path: - results_2023-12-09T18-49-52.400292.parquet - split: latest path: - results_2023-12-09T18-49-52.400292.parquet --- # Dataset Card for Evaluation run of mwitiderrick/shearedplats-2.7b-v2-instruct-v0.1 ## Dataset Description - **Homepage:** - **Repository:** https://huggingface.co/mwitiderrick/shearedplats-2.7b-v2-instruct-v0.1 - **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 [mwitiderrick/shearedplats-2.7b-v2-instruct-v0.1](https://huggingface.co/mwitiderrick/shearedplats-2.7b-v2-instruct-v0.1) 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_mwitiderrick__shearedplats-2.7b-v2-instruct-v0.1", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-12-09T18:49:52.400292](https://huggingface.co/datasets/open-llm-leaderboard/details_mwitiderrick__shearedplats-2.7b-v2-instruct-v0.1/blob/main/results_2023-12-09T18-49-52.400292.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": 0.2882361931913223, "acc_stderr": 0.031895486998552665, "acc_norm": 0.2903928342274915, "acc_norm_stderr": 0.03267939625046512, "mc1": 0.2729498164014688, "mc1_stderr": 0.015594753632006535, "mc2": 0.41227748774876055, "mc2_stderr": 0.014572961912704371 }, "harness|arc:challenge|25": { "acc": 0.3660409556313993, "acc_stderr": 0.01407722310847014, "acc_norm": 0.40187713310580203, "acc_norm_stderr": 0.014327268614578274 }, "harness|hellaswag|10": { "acc": 0.5142401911969727, "acc_stderr": 0.00498775731476984, "acc_norm": 0.7007568213503286, "acc_norm_stderr": 0.00456990648509029 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.23, "acc_stderr": 0.04229525846816506, "acc_norm": 0.23, "acc_norm_stderr": 0.04229525846816506 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.31851851851851853, "acc_stderr": 0.040247784019771096, "acc_norm": 0.31851851851851853, "acc_norm_stderr": 0.040247784019771096 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.21052631578947367, "acc_stderr": 0.03317672787533157, "acc_norm": 0.21052631578947367, "acc_norm_stderr": 0.03317672787533157 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.36, "acc_stderr": 0.04824181513244218, "acc_norm": 0.36, "acc_norm_stderr": 0.04824181513244218 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.2830188679245283, "acc_stderr": 0.027724236492700904, "acc_norm": 0.2830188679245283, "acc_norm_stderr": 0.027724236492700904 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.3263888888888889, "acc_stderr": 0.03921067198982266, "acc_norm": 0.3263888888888889, "acc_norm_stderr": 0.03921067198982266 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.2, "acc_stderr": 0.04020151261036846, "acc_norm": 0.2, "acc_norm_stderr": 0.04020151261036846 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.31, "acc_stderr": 0.046482319871173156, "acc_norm": 0.31, "acc_norm_stderr": 0.046482319871173156 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.19, "acc_stderr": 0.03942772444036623, "acc_norm": 0.19, "acc_norm_stderr": 0.03942772444036623 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.2254335260115607, "acc_stderr": 0.03186209851641144, "acc_norm": 0.2254335260115607, "acc_norm_stderr": 0.03186209851641144 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.23529411764705882, "acc_stderr": 0.042207736591714534, "acc_norm": 0.23529411764705882, "acc_norm_stderr": 0.042207736591714534 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.39, "acc_stderr": 0.04902071300001975, "acc_norm": 0.39, "acc_norm_stderr": 0.04902071300001975 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.31063829787234043, "acc_stderr": 0.030251237579213174, "acc_norm": 0.31063829787234043, "acc_norm_stderr": 0.030251237579213174 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.22807017543859648, "acc_stderr": 0.03947152782669415, "acc_norm": 0.22807017543859648, "acc_norm_stderr": 0.03947152782669415 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.31724137931034485, "acc_stderr": 0.038783523721386215, "acc_norm": 0.31724137931034485, "acc_norm_stderr": 0.038783523721386215 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.20899470899470898, "acc_stderr": 0.020940481565334835, "acc_norm": 0.20899470899470898, "acc_norm_stderr": 0.020940481565334835 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.2857142857142857, "acc_stderr": 0.04040610178208841, "acc_norm": 0.2857142857142857, "acc_norm_stderr": 0.04040610178208841 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.27, "acc_stderr": 0.04461960433384741, "acc_norm": 0.27, "acc_norm_stderr": 0.04461960433384741 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.24516129032258063, "acc_stderr": 0.024472243840895525, "acc_norm": 0.24516129032258063, "acc_norm_stderr": 0.024472243840895525 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.2413793103448276, "acc_stderr": 0.030108330718011625, "acc_norm": 0.2413793103448276, "acc_norm_stderr": 0.030108330718011625 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.29, "acc_stderr": 0.04560480215720684, "acc_norm": 0.29, "acc_norm_stderr": 0.04560480215720684 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.2909090909090909, "acc_stderr": 0.03546563019624335, "acc_norm": 0.2909090909090909, "acc_norm_stderr": 0.03546563019624335 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.29292929292929293, "acc_stderr": 0.03242497958178815, "acc_norm": 0.29292929292929293, "acc_norm_stderr": 0.03242497958178815 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.25906735751295334, "acc_stderr": 0.031618779179354115, "acc_norm": 0.25906735751295334, "acc_norm_stderr": 0.031618779179354115 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.23333333333333334, "acc_stderr": 0.02144454730156047, "acc_norm": 0.23333333333333334, "acc_norm_stderr": 0.02144454730156047 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.24814814814814815, "acc_stderr": 0.0263357394040558, "acc_norm": 0.24814814814814815, "acc_norm_stderr": 0.0263357394040558 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.226890756302521, "acc_stderr": 0.027205371538279496, "acc_norm": 0.226890756302521, "acc_norm_stderr": 0.027205371538279496 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.23841059602649006, "acc_stderr": 0.034791855725996586, "acc_norm": 0.23841059602649006, "acc_norm_stderr": 0.034791855725996586 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.28990825688073396, "acc_stderr": 0.019453066609201597, "acc_norm": 0.28990825688073396, "acc_norm_stderr": 0.019453066609201597 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.27314814814814814, "acc_stderr": 0.030388051301678116, "acc_norm": 0.27314814814814814, "acc_norm_stderr": 0.030388051301678116 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.25980392156862747, "acc_stderr": 0.03077855467869326, "acc_norm": 0.25980392156862747, "acc_norm_stderr": 0.03077855467869326 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.31645569620253167, "acc_stderr": 0.03027497488021898, "acc_norm": 0.31645569620253167, "acc_norm_stderr": 0.03027497488021898 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.29596412556053814, "acc_stderr": 0.0306365913486998, "acc_norm": 0.29596412556053814, "acc_norm_stderr": 0.0306365913486998 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.29770992366412213, "acc_stderr": 0.04010358942462203, "acc_norm": 0.29770992366412213, "acc_norm_stderr": 0.04010358942462203 }, "harness|hendrycksTest-international_law|5": { "acc": 0.38016528925619836, "acc_stderr": 0.04431324501968432, "acc_norm": 0.38016528925619836, "acc_norm_stderr": 0.04431324501968432 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.3333333333333333, "acc_stderr": 0.04557239513497751, "acc_norm": 0.3333333333333333, "acc_norm_stderr": 0.04557239513497751 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.32515337423312884, "acc_stderr": 0.036803503712864616, "acc_norm": 0.32515337423312884, "acc_norm_stderr": 0.036803503712864616 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.29464285714285715, "acc_stderr": 0.043270409325787296, "acc_norm": 0.29464285714285715, "acc_norm_stderr": 0.043270409325787296 }, "harness|hendrycksTest-management|5": { "acc": 0.2815533980582524, "acc_stderr": 0.04453254836326469, "acc_norm": 0.2815533980582524, "acc_norm_stderr": 0.04453254836326469 }, "harness|hendrycksTest-marketing|5": { "acc": 0.3162393162393162, "acc_stderr": 0.030463656747340268, "acc_norm": 0.3162393162393162, "acc_norm_stderr": 0.030463656747340268 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.22, "acc_stderr": 0.0416333199893227, "acc_norm": 0.22, "acc_norm_stderr": 0.0416333199893227 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.37292464878671777, "acc_stderr": 0.017292868269453924, "acc_norm": 0.37292464878671777, "acc_norm_stderr": 0.017292868269453924 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.32947976878612717, "acc_stderr": 0.025305258131879716, "acc_norm": 0.32947976878612717, "acc_norm_stderr": 0.025305258131879716 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.2558659217877095, "acc_stderr": 0.014593620923210742, "acc_norm": 0.2558659217877095, "acc_norm_stderr": 0.014593620923210742 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.26143790849673204, "acc_stderr": 0.025160998214292456, "acc_norm": 0.26143790849673204, "acc_norm_stderr": 0.025160998214292456 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.2990353697749196, "acc_stderr": 0.02600330111788513, "acc_norm": 0.2990353697749196, "acc_norm_stderr": 0.02600330111788513 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.3271604938271605, "acc_stderr": 0.026105673861409825, "acc_norm": 0.3271604938271605, "acc_norm_stderr": 0.026105673861409825 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.29432624113475175, "acc_stderr": 0.027187127011503793, "acc_norm": 0.29432624113475175, "acc_norm_stderr": 0.027187127011503793 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.28096479791395046, "acc_stderr": 0.011479684550077692, "acc_norm": 0.28096479791395046, "acc_norm_stderr": 0.011479684550077692 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.20220588235294118, "acc_stderr": 0.024398192986654924, "acc_norm": 0.20220588235294118, "acc_norm_stderr": 0.024398192986654924 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.2875816993464052, "acc_stderr": 0.018311653053648222, "acc_norm": 0.2875816993464052, "acc_norm_stderr": 0.018311653053648222 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.2909090909090909, "acc_stderr": 0.04350271442923243, "acc_norm": 0.2909090909090909, "acc_norm_stderr": 0.04350271442923243 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.22040816326530613, "acc_stderr": 0.026537045312145287, "acc_norm": 0.22040816326530613, "acc_norm_stderr": 0.026537045312145287 }, "harness|hendrycksTest-sociology|5": { "acc": 0.32338308457711445, "acc_stderr": 0.033076159479790326, "acc_norm": 0.32338308457711445, "acc_norm_stderr": 0.033076159479790326 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-virology|5": { "acc": 0.3072289156626506, "acc_stderr": 0.035915667978246635, "acc_norm": 0.3072289156626506, "acc_norm_stderr": 0.035915667978246635 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.32748538011695905, "acc_stderr": 0.035993357714560276, "acc_norm": 0.32748538011695905, "acc_norm_stderr": 0.035993357714560276 }, "harness|truthfulqa:mc|0": { "mc1": 0.2729498164014688, "mc1_stderr": 0.015594753632006535, "mc2": 0.41227748774876055, "mc2_stderr": 0.014572961912704371 }, "harness|winogrande|5": { "acc": 0.6503551696921863, "acc_stderr": 0.013402073680850515 }, "harness|gsm8k|5": { "acc": 0.02122820318423048, "acc_stderr": 0.003970449129848635 } } ``` ### 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]

tyzhu/wiki_find_passage_train100_eval40_num

--- configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* dataset_info: features: - name: inputs dtype: string - name: targets dtype: string splits: - name: train num_bytes: 158210 num_examples: 240 - name: validation num_bytes: 33332 num_examples: 40 download_size: 95417 dataset_size: 191542 --- # Dataset Card for "wiki_find_passage_train100_eval40_num" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

ighoshsubho/llama_mistral_dataset

--- license: apache-2.0 dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 82923 num_examples: 434 download_size: 37474 dataset_size: 82923 configs: - config_name: default data_files: - split: train path: data/train-* ---

open-llm-leaderboard/details_allenai__tulu-2-dpo-70b

--- pretty_name: Evaluation run of allenai/tulu-2-dpo-70b dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [allenai/tulu-2-dpo-70b](https://huggingface.co/allenai/tulu-2-dpo-70b) 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_allenai__tulu-2-dpo-70b\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-02-02T06:48:43.589029](https://huggingface.co/datasets/open-llm-leaderboard/details_allenai__tulu-2-dpo-70b/blob/main/results_2024-02-02T06-48-43.589029.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\": 0.699296658680991,\n\ \ \"acc_stderr\": 0.03051571429129605,\n \"acc_norm\": 0.7020037559735633,\n\ \ \"acc_norm_stderr\": 0.031114133505086575,\n \"mc1\": 0.4675642594859241,\n\ \ \"mc1_stderr\": 0.017466632149577613,\n \"mc2\": 0.6577655722264159,\n\ \ \"mc2_stderr\": 0.014903281756393213\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.6825938566552902,\n \"acc_stderr\": 0.013602239088038167,\n\ \ \"acc_norm\": 0.7209897610921502,\n \"acc_norm_stderr\": 0.01310678488360134\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.7082254530969926,\n\ \ \"acc_stderr\": 0.004536500714147989,\n \"acc_norm\": 0.8898625771758614,\n\ \ \"acc_norm_stderr\": 0.0031242116171988606\n },\n \"harness|hendrycksTest-abstract_algebra|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-anatomy|5\": {\n \"acc\": 0.6148148148148148,\n\ \ \"acc_stderr\": 0.04203921040156279,\n \"acc_norm\": 0.6148148148148148,\n\ \ \"acc_norm_stderr\": 0.04203921040156279\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.7828947368421053,\n \"acc_stderr\": 0.03355045304882924,\n\ \ \"acc_norm\": 0.7828947368421053,\n \"acc_norm_stderr\": 0.03355045304882924\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.73,\n\ \ \"acc_stderr\": 0.0446196043338474,\n \"acc_norm\": 0.73,\n \ \ \"acc_norm_stderr\": 0.0446196043338474\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.7509433962264151,\n \"acc_stderr\": 0.02661648298050171,\n\ \ \"acc_norm\": 0.7509433962264151,\n \"acc_norm_stderr\": 0.02661648298050171\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.8263888888888888,\n\ \ \"acc_stderr\": 0.03167473383795718,\n \"acc_norm\": 0.8263888888888888,\n\ \ \"acc_norm_stderr\": 0.03167473383795718\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.51,\n \"acc_stderr\": 0.05024183937956911,\n \ \ \"acc_norm\": 0.51,\n \"acc_norm_stderr\": 0.05024183937956911\n \ \ },\n \"harness|hendrycksTest-college_computer_science|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-college_mathematics|5\"\ : {\n \"acc\": 0.39,\n \"acc_stderr\": 0.049020713000019756,\n \ \ \"acc_norm\": 0.39,\n \"acc_norm_stderr\": 0.049020713000019756\n \ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.7225433526011561,\n\ \ \"acc_stderr\": 0.03414014007044037,\n \"acc_norm\": 0.7225433526011561,\n\ \ \"acc_norm_stderr\": 0.03414014007044037\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.43137254901960786,\n \"acc_stderr\": 0.04928099597287534,\n\ \ \"acc_norm\": 0.43137254901960786,\n \"acc_norm_stderr\": 0.04928099597287534\n\ \ },\n \"harness|hendrycksTest-computer_security|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-conceptual_physics|5\"\ : {\n \"acc\": 0.6978723404255319,\n \"acc_stderr\": 0.03001755447188056,\n\ \ \"acc_norm\": 0.6978723404255319,\n \"acc_norm_stderr\": 0.03001755447188056\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\": 0.5793103448275863,\n \"acc_stderr\": 0.04113914981189261,\n\ \ \"acc_norm\": 0.5793103448275863,\n \"acc_norm_stderr\": 0.04113914981189261\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.455026455026455,\n \"acc_stderr\": 0.025646928361049398,\n \"\ acc_norm\": 0.455026455026455,\n \"acc_norm_stderr\": 0.025646928361049398\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.48412698412698413,\n\ \ \"acc_stderr\": 0.04469881854072606,\n \"acc_norm\": 0.48412698412698413,\n\ \ \"acc_norm_stderr\": 0.04469881854072606\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.52,\n \"acc_stderr\": 0.050211673156867795,\n \ \ \"acc_norm\": 0.52,\n \"acc_norm_stderr\": 0.050211673156867795\n \ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\"\ : 0.7935483870967742,\n \"acc_stderr\": 0.023025899617188716,\n \"\ acc_norm\": 0.7935483870967742,\n \"acc_norm_stderr\": 0.023025899617188716\n\ \ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\ : 0.5270935960591133,\n \"acc_stderr\": 0.03512819077876106,\n \"\ acc_norm\": 0.5270935960591133,\n \"acc_norm_stderr\": 0.03512819077876106\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|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-high_school_european_history|5\"\ : {\n \"acc\": 0.8363636363636363,\n \"acc_stderr\": 0.02888787239548795,\n\ \ \"acc_norm\": 0.8363636363636363,\n \"acc_norm_stderr\": 0.02888787239548795\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.8888888888888888,\n \"acc_stderr\": 0.02239078763821676,\n \"\ acc_norm\": 0.8888888888888888,\n \"acc_norm_stderr\": 0.02239078763821676\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.9378238341968912,\n \"acc_stderr\": 0.01742697415424052,\n\ \ \"acc_norm\": 0.9378238341968912,\n \"acc_norm_stderr\": 0.01742697415424052\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.7333333333333333,\n \"acc_stderr\": 0.022421273612923707,\n\ \ \"acc_norm\": 0.7333333333333333,\n \"acc_norm_stderr\": 0.022421273612923707\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.3592592592592593,\n \"acc_stderr\": 0.029252905927251976,\n \ \ \"acc_norm\": 0.3592592592592593,\n \"acc_norm_stderr\": 0.029252905927251976\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.8025210084033614,\n \"acc_stderr\": 0.025859164122051453,\n\ \ \"acc_norm\": 0.8025210084033614,\n \"acc_norm_stderr\": 0.025859164122051453\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.47019867549668876,\n \"acc_stderr\": 0.040752249922169775,\n \"\ acc_norm\": 0.47019867549668876,\n \"acc_norm_stderr\": 0.040752249922169775\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.8935779816513761,\n \"acc_stderr\": 0.013221554674594372,\n \"\ acc_norm\": 0.8935779816513761,\n \"acc_norm_stderr\": 0.013221554674594372\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.6064814814814815,\n \"acc_stderr\": 0.03331747876370312,\n \"\ acc_norm\": 0.6064814814814815,\n \"acc_norm_stderr\": 0.03331747876370312\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.9166666666666666,\n \"acc_stderr\": 0.019398452135813905,\n \"\ acc_norm\": 0.9166666666666666,\n \"acc_norm_stderr\": 0.019398452135813905\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.8607594936708861,\n \"acc_stderr\": 0.022535526352692705,\n \ \ \"acc_norm\": 0.8607594936708861,\n \"acc_norm_stderr\": 0.022535526352692705\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.7668161434977578,\n\ \ \"acc_stderr\": 0.028380391147094713,\n \"acc_norm\": 0.7668161434977578,\n\ \ \"acc_norm_stderr\": 0.028380391147094713\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.8320610687022901,\n \"acc_stderr\": 0.03278548537343138,\n\ \ \"acc_norm\": 0.8320610687022901,\n \"acc_norm_stderr\": 0.03278548537343138\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.8677685950413223,\n \"acc_stderr\": 0.0309227883204458,\n \"acc_norm\"\ : 0.8677685950413223,\n \"acc_norm_stderr\": 0.0309227883204458\n },\n\ \ \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.8425925925925926,\n\ \ \"acc_stderr\": 0.035207039905179635,\n \"acc_norm\": 0.8425925925925926,\n\ \ \"acc_norm_stderr\": 0.035207039905179635\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.8282208588957055,\n \"acc_stderr\": 0.029634717272371037,\n\ \ \"acc_norm\": 0.8282208588957055,\n \"acc_norm_stderr\": 0.029634717272371037\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\": 0.8155339805825242,\n \"acc_stderr\": 0.03840423627288276,\n\ \ \"acc_norm\": 0.8155339805825242,\n \"acc_norm_stderr\": 0.03840423627288276\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8974358974358975,\n\ \ \"acc_stderr\": 0.019875655027867457,\n \"acc_norm\": 0.8974358974358975,\n\ \ \"acc_norm_stderr\": 0.019875655027867457\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.69,\n \"acc_stderr\": 0.04648231987117316,\n \ \ \"acc_norm\": 0.69,\n \"acc_norm_stderr\": 0.04648231987117316\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.8531289910600255,\n\ \ \"acc_stderr\": 0.012658201736147288,\n \"acc_norm\": 0.8531289910600255,\n\ \ \"acc_norm_stderr\": 0.012658201736147288\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.7658959537572254,\n \"acc_stderr\": 0.022797110278071124,\n\ \ \"acc_norm\": 0.7658959537572254,\n \"acc_norm_stderr\": 0.022797110278071124\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.511731843575419,\n\ \ \"acc_stderr\": 0.016717897676932162,\n \"acc_norm\": 0.511731843575419,\n\ \ \"acc_norm_stderr\": 0.016717897676932162\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.7843137254901961,\n \"acc_stderr\": 0.02355083135199509,\n\ \ \"acc_norm\": 0.7843137254901961,\n \"acc_norm_stderr\": 0.02355083135199509\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.7620578778135049,\n\ \ \"acc_stderr\": 0.02418515064781871,\n \"acc_norm\": 0.7620578778135049,\n\ \ \"acc_norm_stderr\": 0.02418515064781871\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.8209876543209876,\n \"acc_stderr\": 0.02133086876212706,\n\ \ \"acc_norm\": 0.8209876543209876,\n \"acc_norm_stderr\": 0.02133086876212706\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.574468085106383,\n \"acc_stderr\": 0.02949482760014436,\n \ \ \"acc_norm\": 0.574468085106383,\n \"acc_norm_stderr\": 0.02949482760014436\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.546284224250326,\n\ \ \"acc_stderr\": 0.012715404841277752,\n \"acc_norm\": 0.546284224250326,\n\ \ \"acc_norm_stderr\": 0.012715404841277752\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.75,\n \"acc_stderr\": 0.026303648393696036,\n \ \ \"acc_norm\": 0.75,\n \"acc_norm_stderr\": 0.026303648393696036\n \ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"acc\"\ : 0.7598039215686274,\n \"acc_stderr\": 0.01728276069516741,\n \"\ acc_norm\": 0.7598039215686274,\n \"acc_norm_stderr\": 0.01728276069516741\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.7727272727272727,\n\ \ \"acc_stderr\": 0.04013964554072775,\n \"acc_norm\": 0.7727272727272727,\n\ \ \"acc_norm_stderr\": 0.04013964554072775\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.7673469387755102,\n \"acc_stderr\": 0.027049257915896175,\n\ \ \"acc_norm\": 0.7673469387755102,\n \"acc_norm_stderr\": 0.027049257915896175\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8756218905472637,\n\ \ \"acc_stderr\": 0.023335401790166327,\n \"acc_norm\": 0.8756218905472637,\n\ \ \"acc_norm_stderr\": 0.023335401790166327\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.88,\n \"acc_stderr\": 0.03265986323710906,\n \ \ \"acc_norm\": 0.88,\n \"acc_norm_stderr\": 0.03265986323710906\n \ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5120481927710844,\n\ \ \"acc_stderr\": 0.03891364495835817,\n \"acc_norm\": 0.5120481927710844,\n\ \ \"acc_norm_stderr\": 0.03891364495835817\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.8713450292397661,\n \"acc_stderr\": 0.02567934272327691,\n\ \ \"acc_norm\": 0.8713450292397661,\n \"acc_norm_stderr\": 0.02567934272327691\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.4675642594859241,\n\ \ \"mc1_stderr\": 0.017466632149577613,\n \"mc2\": 0.6577655722264159,\n\ \ \"mc2_stderr\": 0.014903281756393213\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.8326756116811366,\n \"acc_stderr\": 0.010490608806828079\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.6262319939347991,\n \ \ \"acc_stderr\": 0.013326342860737007\n }\n}\n```" repo_url: https://huggingface.co/allenai/tulu-2-dpo-70b 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_02T06_48_43.589029 path: - '**/details_harness|arc:challenge|25_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2024-02-02T06-48-43.589029.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '**/details_harness|gsm8k|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_02_02T06_48_43.589029 path: - '**/details_harness|hellaswag|10_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-management|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-management|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-02-02T06-48-43.589029.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '**/details_harness|hendrycksTest-anatomy|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '**/details_harness|hendrycksTest-astronomy|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '**/details_harness|hendrycksTest-college_biology|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '**/details_harness|hendrycksTest-college_physics|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '**/details_harness|hendrycksTest-computer_security|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '**/details_harness|hendrycksTest-econometrics|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '**/details_harness|hendrycksTest-global_facts|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '**/details_harness|hendrycksTest-human_aging|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '**/details_harness|hendrycksTest-international_law|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '**/details_harness|hendrycksTest-management|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '**/details_harness|hendrycksTest-marketing|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '**/details_harness|hendrycksTest-nutrition|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '**/details_harness|hendrycksTest-philosophy|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '**/details_harness|hendrycksTest-prehistory|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '**/details_harness|hendrycksTest-professional_law|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '**/details_harness|hendrycksTest-public_relations|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '**/details_harness|hendrycksTest-security_studies|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '**/details_harness|hendrycksTest-sociology|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '**/details_harness|hendrycksTest-virology|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '**/details_harness|hendrycksTest-world_religions|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2024-02-02T06-48-43.589029.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_02_02T06_48_43.589029 path: - '**/details_harness|truthfulqa:mc|0_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2024-02-02T06-48-43.589029.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_02_02T06_48_43.589029 path: - '**/details_harness|winogrande|5_2024-02-02T06-48-43.589029.parquet' - split: latest path: - '**/details_harness|winogrande|5_2024-02-02T06-48-43.589029.parquet' - config_name: results data_files: - split: 2024_02_02T06_48_43.589029 path: - results_2024-02-02T06-48-43.589029.parquet - split: latest path: - results_2024-02-02T06-48-43.589029.parquet --- # Dataset Card for Evaluation run of allenai/tulu-2-dpo-70b  Dataset automatically created during the evaluation run of model [allenai/tulu-2-dpo-70b](https://huggingface.co/allenai/tulu-2-dpo-70b) 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_allenai__tulu-2-dpo-70b", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-02-02T06:48:43.589029](https://huggingface.co/datasets/open-llm-leaderboard/details_allenai__tulu-2-dpo-70b/blob/main/results_2024-02-02T06-48-43.589029.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": 0.699296658680991, "acc_stderr": 0.03051571429129605, "acc_norm": 0.7020037559735633, "acc_norm_stderr": 0.031114133505086575, "mc1": 0.4675642594859241, "mc1_stderr": 0.017466632149577613, "mc2": 0.6577655722264159, "mc2_stderr": 0.014903281756393213 }, "harness|arc:challenge|25": { "acc": 0.6825938566552902, "acc_stderr": 0.013602239088038167, "acc_norm": 0.7209897610921502, "acc_norm_stderr": 0.01310678488360134 }, "harness|hellaswag|10": { "acc": 0.7082254530969926, "acc_stderr": 0.004536500714147989, "acc_norm": 0.8898625771758614, "acc_norm_stderr": 0.0031242116171988606 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.6148148148148148, "acc_stderr": 0.04203921040156279, "acc_norm": 0.6148148148148148, "acc_norm_stderr": 0.04203921040156279 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.7828947368421053, "acc_stderr": 0.03355045304882924, "acc_norm": 0.7828947368421053, "acc_norm_stderr": 0.03355045304882924 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.73, "acc_stderr": 0.0446196043338474, "acc_norm": 0.73, "acc_norm_stderr": 0.0446196043338474 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.7509433962264151, "acc_stderr": 0.02661648298050171, "acc_norm": 0.7509433962264151, "acc_norm_stderr": 0.02661648298050171 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.8263888888888888, "acc_stderr": 0.03167473383795718, "acc_norm": 0.8263888888888888, "acc_norm_stderr": 0.03167473383795718 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.51, "acc_stderr": 0.05024183937956911, "acc_norm": 0.51, "acc_norm_stderr": 0.05024183937956911 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.59, "acc_stderr": 0.04943110704237102, "acc_norm": 0.59, "acc_norm_stderr": 0.04943110704237102 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.39, "acc_stderr": 0.049020713000019756, "acc_norm": 0.39, "acc_norm_stderr": 0.049020713000019756 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.7225433526011561, "acc_stderr": 0.03414014007044037, "acc_norm": 0.7225433526011561, "acc_norm_stderr": 0.03414014007044037 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.43137254901960786, "acc_stderr": 0.04928099597287534, "acc_norm": 0.43137254901960786, "acc_norm_stderr": 0.04928099597287534 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.72, "acc_stderr": 0.045126085985421276, "acc_norm": 0.72, "acc_norm_stderr": 0.045126085985421276 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.6978723404255319, "acc_stderr": 0.03001755447188056, "acc_norm": 0.6978723404255319, "acc_norm_stderr": 0.03001755447188056 }, "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": 0.5793103448275863, "acc_stderr": 0.04113914981189261, "acc_norm": 0.5793103448275863, "acc_norm_stderr": 0.04113914981189261 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.455026455026455, "acc_stderr": 0.025646928361049398, "acc_norm": 0.455026455026455, "acc_norm_stderr": 0.025646928361049398 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.48412698412698413, "acc_stderr": 0.04469881854072606, "acc_norm": 0.48412698412698413, "acc_norm_stderr": 0.04469881854072606 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.52, "acc_stderr": 0.050211673156867795, "acc_norm": 0.52, "acc_norm_stderr": 0.050211673156867795 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.7935483870967742, "acc_stderr": 0.023025899617188716, "acc_norm": 0.7935483870967742, "acc_norm_stderr": 0.023025899617188716 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.5270935960591133, "acc_stderr": 0.03512819077876106, "acc_norm": 0.5270935960591133, "acc_norm_stderr": 0.03512819077876106 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.78, "acc_stderr": 0.04163331998932261, "acc_norm": 0.78, "acc_norm_stderr": 0.04163331998932261 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.8363636363636363, "acc_stderr": 0.02888787239548795, "acc_norm": 0.8363636363636363, "acc_norm_stderr": 0.02888787239548795 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.8888888888888888, "acc_stderr": 0.02239078763821676, "acc_norm": 0.8888888888888888, "acc_norm_stderr": 0.02239078763821676 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.9378238341968912, "acc_stderr": 0.01742697415424052, "acc_norm": 0.9378238341968912, "acc_norm_stderr": 0.01742697415424052 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.7333333333333333, "acc_stderr": 0.022421273612923707, "acc_norm": 0.7333333333333333, "acc_norm_stderr": 0.022421273612923707 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.3592592592592593, "acc_stderr": 0.029252905927251976, "acc_norm": 0.3592592592592593, "acc_norm_stderr": 0.029252905927251976 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.8025210084033614, "acc_stderr": 0.025859164122051453, "acc_norm": 0.8025210084033614, "acc_norm_stderr": 0.025859164122051453 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.47019867549668876, "acc_stderr": 0.040752249922169775, "acc_norm": 0.47019867549668876, "acc_norm_stderr": 0.040752249922169775 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.8935779816513761, "acc_stderr": 0.013221554674594372, "acc_norm": 0.8935779816513761, "acc_norm_stderr": 0.013221554674594372 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.6064814814814815, "acc_stderr": 0.03331747876370312, "acc_norm": 0.6064814814814815, "acc_norm_stderr": 0.03331747876370312 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.9166666666666666, "acc_stderr": 0.019398452135813905, "acc_norm": 0.9166666666666666, "acc_norm_stderr": 0.019398452135813905 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.8607594936708861, "acc_stderr": 0.022535526352692705, "acc_norm": 0.8607594936708861, "acc_norm_stderr": 0.022535526352692705 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.7668161434977578, "acc_stderr": 0.028380391147094713, "acc_norm": 0.7668161434977578, "acc_norm_stderr": 0.028380391147094713 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.8320610687022901, "acc_stderr": 0.03278548537343138, "acc_norm": 0.8320610687022901, "acc_norm_stderr": 0.03278548537343138 }, "harness|hendrycksTest-international_law|5": { "acc": 0.8677685950413223, "acc_stderr": 0.0309227883204458, "acc_norm": 0.8677685950413223, "acc_norm_stderr": 0.0309227883204458 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.8425925925925926, "acc_stderr": 0.035207039905179635, "acc_norm": 0.8425925925925926, "acc_norm_stderr": 0.035207039905179635 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.8282208588957055, "acc_stderr": 0.029634717272371037, "acc_norm": 0.8282208588957055, "acc_norm_stderr": 0.029634717272371037 }, "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": 0.8155339805825242, "acc_stderr": 0.03840423627288276, "acc_norm": 0.8155339805825242, "acc_norm_stderr": 0.03840423627288276 }, "harness|hendrycksTest-marketing|5": { "acc": 0.8974358974358975, "acc_stderr": 0.019875655027867457, "acc_norm": 0.8974358974358975, "acc_norm_stderr": 0.019875655027867457 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.69, "acc_stderr": 0.04648231987117316, "acc_norm": 0.69, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.8531289910600255, "acc_stderr": 0.012658201736147288, "acc_norm": 0.8531289910600255, "acc_norm_stderr": 0.012658201736147288 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.7658959537572254, "acc_stderr": 0.022797110278071124, "acc_norm": 0.7658959537572254, "acc_norm_stderr": 0.022797110278071124 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.511731843575419, "acc_stderr": 0.016717897676932162, "acc_norm": 0.511731843575419, "acc_norm_stderr": 0.016717897676932162 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.7843137254901961, "acc_stderr": 0.02355083135199509, "acc_norm": 0.7843137254901961, "acc_norm_stderr": 0.02355083135199509 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.7620578778135049, "acc_stderr": 0.02418515064781871, "acc_norm": 0.7620578778135049, "acc_norm_stderr": 0.02418515064781871 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.8209876543209876, "acc_stderr": 0.02133086876212706, "acc_norm": 0.8209876543209876, "acc_norm_stderr": 0.02133086876212706 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.574468085106383, "acc_stderr": 0.02949482760014436, "acc_norm": 0.574468085106383, "acc_norm_stderr": 0.02949482760014436 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.546284224250326, "acc_stderr": 0.012715404841277752, "acc_norm": 0.546284224250326, "acc_norm_stderr": 0.012715404841277752 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.75, "acc_stderr": 0.026303648393696036, "acc_norm": 0.75, "acc_norm_stderr": 0.026303648393696036 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.7598039215686274, "acc_stderr": 0.01728276069516741, "acc_norm": 0.7598039215686274, "acc_norm_stderr": 0.01728276069516741 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.7727272727272727, "acc_stderr": 0.04013964554072775, "acc_norm": 0.7727272727272727, "acc_norm_stderr": 0.04013964554072775 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.7673469387755102, "acc_stderr": 0.027049257915896175, "acc_norm": 0.7673469387755102, "acc_norm_stderr": 0.027049257915896175 }, "harness|hendrycksTest-sociology|5": { "acc": 0.8756218905472637, "acc_stderr": 0.023335401790166327, "acc_norm": 0.8756218905472637, "acc_norm_stderr": 0.023335401790166327 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.88, "acc_stderr": 0.03265986323710906, "acc_norm": 0.88, "acc_norm_stderr": 0.03265986323710906 }, "harness|hendrycksTest-virology|5": { "acc": 0.5120481927710844, "acc_stderr": 0.03891364495835817, "acc_norm": 0.5120481927710844, "acc_norm_stderr": 0.03891364495835817 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.8713450292397661, "acc_stderr": 0.02567934272327691, "acc_norm": 0.8713450292397661, "acc_norm_stderr": 0.02567934272327691 }, "harness|truthfulqa:mc|0": { "mc1": 0.4675642594859241, "mc1_stderr": 0.017466632149577613, "mc2": 0.6577655722264159, "mc2_stderr": 0.014903281756393213 }, "harness|winogrande|5": { "acc": 0.8326756116811366, "acc_stderr": 0.010490608806828079 }, "harness|gsm8k|5": { "acc": 0.6262319939347991, "acc_stderr": 0.013326342860737007 } } ``` ## 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]

tollefj/massive-en-no-shorter-transfer

--- dataset_info: features: - name: en dtype: string - name: 'no' dtype: string splits: - name: train num_bytes: 44628652 num_examples: 758144 download_size: 33446436 dataset_size: 44628652 configs: - config_name: default data_files: - split: train path: data/train-* license: cc task_categories: - translation - summarization language: - 'no' - nb - en pretty_name: Massive EN-NO shorter transfer size_categories: - 100K<n<1M --- # Massive EN-NO shorter and similar transfer A dataset of EN-NO translations comprised of the following sources: - https://huggingface.co/datasets/opus100 - https://huggingface.co/datasets/opus_books - https://huggingface.co/datasets/open_subtitles (https://huggingface.co/datasets/tollefj/subtitles-en-no-similar-shorter) - https://huggingface.co/datasets/RuterNorway/Fleurs-Alpaca-EN-NO And parsed by: - simple preprocessing: stripping/misplaced punctuation - computing all similarities with https://huggingface.co/NbAiLab/nb-sbert-base - effectively aligning the translations - filters out where the length of the target language (norwegian) is less than 70% the length of the source language (english) - items with less than 6 words are passed regardless of length constraints this results in a shorter and similar translation corpus.

EleutherAI/quirky_subtraction_increment0_bob

--- configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* - split: test path: data/test-* dataset_info: features: - name: alice_label dtype: bool - name: bob_label dtype: bool - name: difficulty dtype: int64 - name: statement dtype: string - name: choices sequence: string - name: character dtype: string - name: label dtype: bool splits: - name: train num_bytes: 12663979.0 num_examples: 192000 - name: validation num_bytes: 263906.0 num_examples: 4000 - name: test num_bytes: 263762.0 num_examples: 4000 download_size: 4073079 dataset_size: 13191647.0 --- # Dataset Card for "quirky_subtraction_increment0_bob" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

Gbssreejith/Sm_Type1_dataset_finetuned1

--- dataset_info: features: - name: image dtype: image - name: ground_truth dtype: string splits: - name: train num_bytes: 45846795.0 num_examples: 200 - name: test num_bytes: 3594005.0 num_examples: 16 - name: val num_bytes: 1643626.0 num_examples: 7 download_size: 48645908 dataset_size: 51084426.0 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* - split: val path: data/val-* ---

pytc/BvEM

--- license: mit ---

tcsenpai/aggregated_captcha_images_and_text

--- license: cc-by-nc-4.0 --- # Aggregated Captcha Images and Text ## Credits All the images (not the texts) here contained have been downloaded and selected from various datasets on kaggle.com ### What is this? This is a dataset containing some hundreds of thousands of images taken from real and used captchas (reCaptcha, hCaptcha and various others) and containing an equally big amount of random 4-8 length texts generated each one in 363 different fonts and with different random noise, size, colors and scratches on them. While the texts part might result difficult to recognize from the models you could train, the images quantity allows the model to offer a significant possibility of recognization of captcha images. ### Disclaimer This dataset is NOT intended to break any ToS of any website or to execute malicious, illegal or unethical actions. This dataset is distributed with a purely informative and educative finality, namely the study of the weakness or strength of the current protection systems. You will for example notice how puzzle based captchas are highly resistant to this kind of analysis.

mesmalif/amazon-shoe-reviews

--- dataset_info: features: - name: marketplace dtype: string - name: customer_id dtype: string - name: review_id dtype: string - name: product_id dtype: string - name: product_parent dtype: string - name: product_title dtype: string - name: product_category dtype: string - name: labels dtype: int64 - name: helpful_votes dtype: int64 - name: total_votes dtype: int64 - name: vine dtype: int64 - name: verified_purchase dtype: int64 - name: review_headline dtype: string - name: text dtype: string - name: review_date dtype: string splits: - name: train num_bytes: 34784832.6 num_examples: 90000 - name: test num_bytes: 3864981.4 num_examples: 10000 download_size: 21283157 dataset_size: 38649814.0 --- # Dataset Card for "amazon-shoe-reviews" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

tnewaz/kd

--- license: unknown ---

open-llm-leaderboard/details_paulml__OmniBeagleSquaredMBX-v3-7B-v2

--- pretty_name: Evaluation run of paulml/OmniBeagleSquaredMBX-v3-7B-v2 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [paulml/OmniBeagleSquaredMBX-v3-7B-v2](https://huggingface.co/paulml/OmniBeagleSquaredMBX-v3-7B-v2)\ \ 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_paulml__OmniBeagleSquaredMBX-v3-7B-v2\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-02-10T03:04:32.503339](https://huggingface.co/datasets/open-llm-leaderboard/details_paulml__OmniBeagleSquaredMBX-v3-7B-v2/blob/main/results_2024-02-10T03-04-32.503339.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\": 0.6520313155539911,\n\ \ \"acc_stderr\": 0.032055304264286724,\n \"acc_norm\": 0.6510392594733034,\n\ \ \"acc_norm_stderr\": 0.03273146844780618,\n \"mc1\": 0.591187270501836,\n\ \ \"mc1_stderr\": 0.017209952151641724,\n \"mc2\": 0.7292550145611886,\n\ \ \"mc2_stderr\": 0.014624521700190086\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.7167235494880546,\n \"acc_stderr\": 0.013167478735134575,\n\ \ \"acc_norm\": 0.7406143344709898,\n \"acc_norm_stderr\": 0.012808273573927106\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.7211710814578769,\n\ \ \"acc_stderr\": 0.004475067344626756,\n \"acc_norm\": 0.8892650866361282,\n\ \ \"acc_norm_stderr\": 0.003131622628199085\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ : {\n \"acc\": 0.34,\n \"acc_stderr\": 0.04760952285695235,\n \ \ \"acc_norm\": 0.34,\n \"acc_norm_stderr\": 0.04760952285695235\n \ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.6592592592592592,\n\ \ \"acc_stderr\": 0.040943762699967926,\n \"acc_norm\": 0.6592592592592592,\n\ \ \"acc_norm_stderr\": 0.040943762699967926\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.7236842105263158,\n \"acc_stderr\": 0.03639057569952928,\n\ \ \"acc_norm\": 0.7236842105263158,\n \"acc_norm_stderr\": 0.03639057569952928\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\": 0.7056603773584905,\n \"acc_stderr\": 0.028049186315695255,\n\ \ \"acc_norm\": 0.7056603773584905,\n \"acc_norm_stderr\": 0.028049186315695255\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.7638888888888888,\n\ \ \"acc_stderr\": 0.03551446610810826,\n \"acc_norm\": 0.7638888888888888,\n\ \ \"acc_norm_stderr\": 0.03551446610810826\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\"\ : 0.52,\n \"acc_stderr\": 0.050211673156867795,\n \"acc_norm\": 0.52,\n\ \ \"acc_norm_stderr\": 0.050211673156867795\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ : {\n \"acc\": 0.29,\n \"acc_stderr\": 0.04560480215720684,\n \ \ \"acc_norm\": 0.29,\n \"acc_norm_stderr\": 0.04560480215720684\n \ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.653179190751445,\n\ \ \"acc_stderr\": 0.036291466701596636,\n \"acc_norm\": 0.653179190751445,\n\ \ \"acc_norm_stderr\": 0.036291466701596636\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\": 0.5574468085106383,\n \"acc_stderr\": 0.03246956919789958,\n\ \ \"acc_norm\": 0.5574468085106383,\n \"acc_norm_stderr\": 0.03246956919789958\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.4649122807017544,\n\ \ \"acc_stderr\": 0.04692008381368909,\n \"acc_norm\": 0.4649122807017544,\n\ \ \"acc_norm_stderr\": 0.04692008381368909\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.5241379310344828,\n \"acc_stderr\": 0.0416180850350153,\n\ \ \"acc_norm\": 0.5241379310344828,\n \"acc_norm_stderr\": 0.0416180850350153\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.40476190476190477,\n \"acc_stderr\": 0.025279850397404904,\n \"\ acc_norm\": 0.40476190476190477,\n \"acc_norm_stderr\": 0.025279850397404904\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.49206349206349204,\n\ \ \"acc_stderr\": 0.044715725362943486,\n \"acc_norm\": 0.49206349206349204,\n\ \ \"acc_norm_stderr\": 0.044715725362943486\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\": 0.7903225806451613,\n\ \ \"acc_stderr\": 0.023157879349083525,\n \"acc_norm\": 0.7903225806451613,\n\ \ \"acc_norm_stderr\": 0.023157879349083525\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\ : {\n \"acc\": 0.5123152709359606,\n \"acc_stderr\": 0.035169204442208966,\n\ \ \"acc_norm\": 0.5123152709359606,\n \"acc_norm_stderr\": 0.035169204442208966\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.71,\n \"acc_stderr\": 0.045604802157206845,\n \"acc_norm\"\ : 0.71,\n \"acc_norm_stderr\": 0.045604802157206845\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.7818181818181819,\n \"acc_stderr\": 0.03225078108306289,\n\ \ \"acc_norm\": 0.7818181818181819,\n \"acc_norm_stderr\": 0.03225078108306289\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.8080808080808081,\n \"acc_stderr\": 0.028057791672989017,\n \"\ acc_norm\": 0.8080808080808081,\n \"acc_norm_stderr\": 0.028057791672989017\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.9119170984455959,\n \"acc_stderr\": 0.02045374660160103,\n\ \ \"acc_norm\": 0.9119170984455959,\n \"acc_norm_stderr\": 0.02045374660160103\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.6666666666666666,\n \"acc_stderr\": 0.023901157979402538,\n\ \ \"acc_norm\": 0.6666666666666666,\n \"acc_norm_stderr\": 0.023901157979402538\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.32592592592592595,\n \"acc_stderr\": 0.028578348365473086,\n \ \ \"acc_norm\": 0.32592592592592595,\n \"acc_norm_stderr\": 0.028578348365473086\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.6764705882352942,\n \"acc_stderr\": 0.030388353551886793,\n\ \ \"acc_norm\": 0.6764705882352942,\n \"acc_norm_stderr\": 0.030388353551886793\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.37748344370860926,\n \"acc_stderr\": 0.03958027231121569,\n \"\ acc_norm\": 0.37748344370860926,\n \"acc_norm_stderr\": 0.03958027231121569\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.8495412844036697,\n \"acc_stderr\": 0.015328563932669237,\n \"\ acc_norm\": 0.8495412844036697,\n \"acc_norm_stderr\": 0.015328563932669237\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.5092592592592593,\n \"acc_stderr\": 0.034093869469927006,\n \"\ acc_norm\": 0.5092592592592593,\n \"acc_norm_stderr\": 0.034093869469927006\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.8333333333333334,\n \"acc_stderr\": 0.026156867523931045,\n \"\ acc_norm\": 0.8333333333333334,\n \"acc_norm_stderr\": 0.026156867523931045\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.8016877637130801,\n \"acc_stderr\": 0.025955020841621126,\n \ \ \"acc_norm\": 0.8016877637130801,\n \"acc_norm_stderr\": 0.025955020841621126\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6860986547085202,\n\ \ \"acc_stderr\": 0.031146796482972465,\n \"acc_norm\": 0.6860986547085202,\n\ \ \"acc_norm_stderr\": 0.031146796482972465\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.8015267175572519,\n \"acc_stderr\": 0.03498149385462472,\n\ \ \"acc_norm\": 0.8015267175572519,\n \"acc_norm_stderr\": 0.03498149385462472\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.7851239669421488,\n \"acc_stderr\": 0.037494924487096966,\n \"\ acc_norm\": 0.7851239669421488,\n \"acc_norm_stderr\": 0.037494924487096966\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\": 0.4375,\n\ \ \"acc_stderr\": 0.04708567521880525,\n \"acc_norm\": 0.4375,\n \ \ \"acc_norm_stderr\": 0.04708567521880525\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.7864077669902912,\n \"acc_stderr\": 0.040580420156460344,\n\ \ \"acc_norm\": 0.7864077669902912,\n \"acc_norm_stderr\": 0.040580420156460344\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8888888888888888,\n\ \ \"acc_stderr\": 0.020588491316092368,\n \"acc_norm\": 0.8888888888888888,\n\ \ \"acc_norm_stderr\": 0.020588491316092368\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.69,\n \"acc_stderr\": 0.04648231987117316,\n \ \ \"acc_norm\": 0.69,\n \"acc_norm_stderr\": 0.04648231987117316\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.822477650063857,\n\ \ \"acc_stderr\": 0.013664230995834841,\n \"acc_norm\": 0.822477650063857,\n\ \ \"acc_norm_stderr\": 0.013664230995834841\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.7456647398843931,\n \"acc_stderr\": 0.023445826276545543,\n\ \ \"acc_norm\": 0.7456647398843931,\n \"acc_norm_stderr\": 0.023445826276545543\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.42793296089385474,\n\ \ \"acc_stderr\": 0.01654788799741611,\n \"acc_norm\": 0.42793296089385474,\n\ \ \"acc_norm_stderr\": 0.01654788799741611\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.7352941176470589,\n \"acc_stderr\": 0.025261691219729484,\n\ \ \"acc_norm\": 0.7352941176470589,\n \"acc_norm_stderr\": 0.025261691219729484\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.7041800643086816,\n\ \ \"acc_stderr\": 0.025922371788818763,\n \"acc_norm\": 0.7041800643086816,\n\ \ \"acc_norm_stderr\": 0.025922371788818763\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.7407407407407407,\n \"acc_stderr\": 0.024383665531035457,\n\ \ \"acc_norm\": 0.7407407407407407,\n \"acc_norm_stderr\": 0.024383665531035457\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\": 0.4706649282920469,\n\ \ \"acc_stderr\": 0.012748238397365549,\n \"acc_norm\": 0.4706649282920469,\n\ \ \"acc_norm_stderr\": 0.012748238397365549\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.6691176470588235,\n \"acc_stderr\": 0.02858270975389845,\n\ \ \"acc_norm\": 0.6691176470588235,\n \"acc_norm_stderr\": 0.02858270975389845\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.6715686274509803,\n \"acc_stderr\": 0.018999707383162673,\n \ \ \"acc_norm\": 0.6715686274509803,\n \"acc_norm_stderr\": 0.018999707383162673\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6636363636363637,\n\ \ \"acc_stderr\": 0.04525393596302506,\n \"acc_norm\": 0.6636363636363637,\n\ \ \"acc_norm_stderr\": 0.04525393596302506\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.726530612244898,\n \"acc_stderr\": 0.028535560337128448,\n\ \ \"acc_norm\": 0.726530612244898,\n \"acc_norm_stderr\": 0.028535560337128448\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8407960199004975,\n\ \ \"acc_stderr\": 0.025870646766169146,\n \"acc_norm\": 0.8407960199004975,\n\ \ \"acc_norm_stderr\": 0.025870646766169146\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.84,\n \"acc_stderr\": 0.03684529491774709,\n \ \ \"acc_norm\": 0.84,\n \"acc_norm_stderr\": 0.03684529491774709\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\": 0.8187134502923976,\n \"acc_stderr\": 0.029547741687640044,\n\ \ \"acc_norm\": 0.8187134502923976,\n \"acc_norm_stderr\": 0.029547741687640044\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.591187270501836,\n\ \ \"mc1_stderr\": 0.017209952151641724,\n \"mc2\": 0.7292550145611886,\n\ \ \"mc2_stderr\": 0.014624521700190086\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.8555643251775849,\n \"acc_stderr\": 0.009879767358079229\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.6990144048521607,\n \ \ \"acc_stderr\": 0.01263450446521118\n }\n}\n```" repo_url: https://huggingface.co/paulml/OmniBeagleSquaredMBX-v3-7B-v2 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_10T03_04_32.503339 path: - '**/details_harness|arc:challenge|25_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2024-02-10T03-04-32.503339.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '**/details_harness|gsm8k|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_02_10T03_04_32.503339 path: - '**/details_harness|hellaswag|10_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-management|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-management|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-02-10T03-04-32.503339.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '**/details_harness|hendrycksTest-anatomy|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '**/details_harness|hendrycksTest-astronomy|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '**/details_harness|hendrycksTest-college_biology|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '**/details_harness|hendrycksTest-college_physics|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '**/details_harness|hendrycksTest-computer_security|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '**/details_harness|hendrycksTest-econometrics|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '**/details_harness|hendrycksTest-global_facts|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '**/details_harness|hendrycksTest-human_aging|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '**/details_harness|hendrycksTest-international_law|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '**/details_harness|hendrycksTest-management|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '**/details_harness|hendrycksTest-marketing|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '**/details_harness|hendrycksTest-nutrition|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '**/details_harness|hendrycksTest-philosophy|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '**/details_harness|hendrycksTest-prehistory|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '**/details_harness|hendrycksTest-professional_law|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '**/details_harness|hendrycksTest-public_relations|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '**/details_harness|hendrycksTest-security_studies|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '**/details_harness|hendrycksTest-sociology|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '**/details_harness|hendrycksTest-virology|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '**/details_harness|hendrycksTest-world_religions|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2024-02-10T03-04-32.503339.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_02_10T03_04_32.503339 path: - '**/details_harness|truthfulqa:mc|0_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2024-02-10T03-04-32.503339.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_02_10T03_04_32.503339 path: - '**/details_harness|winogrande|5_2024-02-10T03-04-32.503339.parquet' - split: latest path: - '**/details_harness|winogrande|5_2024-02-10T03-04-32.503339.parquet' - config_name: results data_files: - split: 2024_02_10T03_04_32.503339 path: - results_2024-02-10T03-04-32.503339.parquet - split: latest path: - results_2024-02-10T03-04-32.503339.parquet --- # Dataset Card for Evaluation run of paulml/OmniBeagleSquaredMBX-v3-7B-v2  Dataset automatically created during the evaluation run of model [paulml/OmniBeagleSquaredMBX-v3-7B-v2](https://huggingface.co/paulml/OmniBeagleSquaredMBX-v3-7B-v2) 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_paulml__OmniBeagleSquaredMBX-v3-7B-v2", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-02-10T03:04:32.503339](https://huggingface.co/datasets/open-llm-leaderboard/details_paulml__OmniBeagleSquaredMBX-v3-7B-v2/blob/main/results_2024-02-10T03-04-32.503339.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": 0.6520313155539911, "acc_stderr": 0.032055304264286724, "acc_norm": 0.6510392594733034, "acc_norm_stderr": 0.03273146844780618, "mc1": 0.591187270501836, "mc1_stderr": 0.017209952151641724, "mc2": 0.7292550145611886, "mc2_stderr": 0.014624521700190086 }, "harness|arc:challenge|25": { "acc": 0.7167235494880546, "acc_stderr": 0.013167478735134575, "acc_norm": 0.7406143344709898, "acc_norm_stderr": 0.012808273573927106 }, "harness|hellaswag|10": { "acc": 0.7211710814578769, "acc_stderr": 0.004475067344626756, "acc_norm": 0.8892650866361282, "acc_norm_stderr": 0.003131622628199085 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.34, "acc_stderr": 0.04760952285695235, "acc_norm": 0.34, "acc_norm_stderr": 0.04760952285695235 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.6592592592592592, "acc_stderr": 0.040943762699967926, "acc_norm": 0.6592592592592592, "acc_norm_stderr": 0.040943762699967926 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.7236842105263158, "acc_stderr": 0.03639057569952928, "acc_norm": 0.7236842105263158, "acc_norm_stderr": 0.03639057569952928 }, "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": 0.7056603773584905, "acc_stderr": 0.028049186315695255, "acc_norm": 0.7056603773584905, "acc_norm_stderr": 0.028049186315695255 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.7638888888888888, "acc_stderr": 0.03551446610810826, "acc_norm": 0.7638888888888888, "acc_norm_stderr": 0.03551446610810826 }, "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": 0.52, "acc_stderr": 0.050211673156867795, "acc_norm": 0.52, "acc_norm_stderr": 0.050211673156867795 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.29, "acc_stderr": 0.04560480215720684, "acc_norm": 0.29, "acc_norm_stderr": 0.04560480215720684 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.653179190751445, "acc_stderr": 0.036291466701596636, "acc_norm": 0.653179190751445, "acc_norm_stderr": 0.036291466701596636 }, "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": 0.5574468085106383, "acc_stderr": 0.03246956919789958, "acc_norm": 0.5574468085106383, "acc_norm_stderr": 0.03246956919789958 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.4649122807017544, "acc_stderr": 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"acc_norm": 0.69, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.822477650063857, "acc_stderr": 0.013664230995834841, "acc_norm": 0.822477650063857, "acc_norm_stderr": 0.013664230995834841 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.7456647398843931, "acc_stderr": 0.023445826276545543, "acc_norm": 0.7456647398843931, "acc_norm_stderr": 0.023445826276545543 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.42793296089385474, "acc_stderr": 0.01654788799741611, "acc_norm": 0.42793296089385474, "acc_norm_stderr": 0.01654788799741611 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.7352941176470589, "acc_stderr": 0.025261691219729484, "acc_norm": 0.7352941176470589, "acc_norm_stderr": 0.025261691219729484 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.7041800643086816, "acc_stderr": 0.025922371788818763, "acc_norm": 0.7041800643086816, "acc_norm_stderr": 0.025922371788818763 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.7407407407407407, "acc_stderr": 0.024383665531035457, "acc_norm": 0.7407407407407407, "acc_norm_stderr": 0.024383665531035457 }, "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": 0.4706649282920469, "acc_stderr": 0.012748238397365549, "acc_norm": 0.4706649282920469, "acc_norm_stderr": 0.012748238397365549 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.6691176470588235, "acc_stderr": 0.02858270975389845, "acc_norm": 0.6691176470588235, "acc_norm_stderr": 0.02858270975389845 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.6715686274509803, "acc_stderr": 0.018999707383162673, "acc_norm": 0.6715686274509803, "acc_norm_stderr": 0.018999707383162673 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.6636363636363637, "acc_stderr": 0.04525393596302506, "acc_norm": 0.6636363636363637, "acc_norm_stderr": 0.04525393596302506 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.726530612244898, "acc_stderr": 0.028535560337128448, "acc_norm": 0.726530612244898, "acc_norm_stderr": 0.028535560337128448 }, "harness|hendrycksTest-sociology|5": { "acc": 0.8407960199004975, "acc_stderr": 0.025870646766169146, "acc_norm": 0.8407960199004975, "acc_norm_stderr": 0.025870646766169146 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.84, "acc_stderr": 0.03684529491774709, "acc_norm": 0.84, "acc_norm_stderr": 0.03684529491774709 }, "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": 0.8187134502923976, "acc_stderr": 0.029547741687640044, "acc_norm": 0.8187134502923976, "acc_norm_stderr": 0.029547741687640044 }, "harness|truthfulqa:mc|0": { "mc1": 0.591187270501836, "mc1_stderr": 0.017209952151641724, "mc2": 0.7292550145611886, "mc2_stderr": 0.014624521700190086 }, "harness|winogrande|5": { "acc": 0.8555643251775849, "acc_stderr": 0.009879767358079229 }, "harness|gsm8k|5": { "acc": 0.6990144048521607, "acc_stderr": 0.01263450446521118 } } ``` ## 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]

AdapterOcean/GPTeacher_roleplay_standardized_cluster_2_alpaca

--- dataset_info: features: - name: input dtype: string - name: output dtype: string splits: - name: train num_bytes: 422818 num_examples: 537 download_size: 246747 dataset_size: 422818 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "GPTeacher_roleplay_standardized_cluster_2_alpaca" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

kweimann/poe-learning-layouts

--- license: mit --- # Learning layouts in Path of Exile with Vision Transformers: A proof of concept <video controls autoplay src="https://cdn-uploads.huggingface.co/production/uploads/650c55bc9169ea73315b6c22/RJ-rTPWwOFUZlA3ydqhZ2.mp4"></video> Where's the exit? This question often crosses the minds of both newcomers and seasoned players alike. The key lies in understanding the game's layouts, especially during the campaign when taking a wrong turn can significantly slow you down. Our project aims to solve this challenge through machine learning. We've developed a proof-of-concept for learning layouts in Path of Exile using Vision Transformers. We trained a Vision Transformer to predict the direction of the exit in the A3 Marketplace, relying solely on a video of the minimap. You can see the model in action in the video above: the red arrow indicates the predicted exit direction, while the green arrow shows the actual direction. Project page: https://github.com/kweimann/poe-learning-layouts

ibranze/araproje_mmlu_en_w1

--- dataset_info: features: - name: question dtype: string - name: subject dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D splits: - name: validation num_bytes: 132093.13725490196 num_examples: 250 download_size: 0 dataset_size: 132093.13725490196 configs: - config_name: default data_files: - split: validation path: data/validation-* --- # Dataset Card for "araproje_mmlu_en_w1" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

KHM-hf/myDataset

--- license: apache-2.0 ---

open-llm-leaderboard/details_TheBloke__Airoboros-L2-70B-2.1-GPTQ

--- pretty_name: Evaluation run of TheBloke/Airoboros-L2-70B-2.1-GPTQ dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [TheBloke/Airoboros-L2-70B-2.1-GPTQ](https://huggingface.co/TheBloke/Airoboros-L2-70B-2.1-GPTQ)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 3 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_TheBloke__Airoboros-L2-70B-2.1-GPTQ_public\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-11-08T02:26:46.433766](https://huggingface.co/datasets/open-llm-leaderboard/details_TheBloke__Airoboros-L2-70B-2.1-GPTQ_public/blob/main/results_2023-11-08T02-26-46.433766.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\": 0.4241820469798658,\n\ \ \"em_stderr\": 0.0050612570385902955,\n \"f1\": 0.5410476090604083,\n\ \ \"f1_stderr\": 0.004613044422574753,\n \"acc\": 0.48424459945200166,\n\ \ \"acc_stderr\": 0.010393744134050047\n },\n \"harness|drop|3\": {\n\ \ \"em\": 0.4241820469798658,\n \"em_stderr\": 0.0050612570385902955,\n\ \ \"f1\": 0.5410476090604083,\n \"f1_stderr\": 0.004613044422574753\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.15238817285822592,\n \ \ \"acc_stderr\": 0.009899572254794198\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.8161010260457774,\n \"acc_stderr\": 0.010887916013305896\n\ \ }\n}\n```" repo_url: https://huggingface.co/TheBloke/Airoboros-L2-70B-2.1-GPTQ leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: clementine@hf.co configs: - config_name: harness_drop_3 data_files: - split: 2023_11_08T02_26_46.433766 path: - '**/details_harness|drop|3_2023-11-08T02-26-46.433766.parquet' - split: latest path: - '**/details_harness|drop|3_2023-11-08T02-26-46.433766.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_11_08T02_26_46.433766 path: - '**/details_harness|gsm8k|5_2023-11-08T02-26-46.433766.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2023-11-08T02-26-46.433766.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_11_08T02_26_46.433766 path: - '**/details_harness|winogrande|5_2023-11-08T02-26-46.433766.parquet' - split: latest path: - '**/details_harness|winogrande|5_2023-11-08T02-26-46.433766.parquet' - config_name: results data_files: - split: 2023_11_08T02_26_46.433766 path: - results_2023-11-08T02-26-46.433766.parquet - split: latest path: - results_2023-11-08T02-26-46.433766.parquet --- # Dataset Card for Evaluation run of TheBloke/Airoboros-L2-70B-2.1-GPTQ ## Dataset Description - **Homepage:** - **Repository:** https://huggingface.co/TheBloke/Airoboros-L2-70B-2.1-GPTQ - **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/Airoboros-L2-70B-2.1-GPTQ](https://huggingface.co/TheBloke/Airoboros-L2-70B-2.1-GPTQ) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 3 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_TheBloke__Airoboros-L2-70B-2.1-GPTQ_public", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-11-08T02:26:46.433766](https://huggingface.co/datasets/open-llm-leaderboard/details_TheBloke__Airoboros-L2-70B-2.1-GPTQ_public/blob/main/results_2023-11-08T02-26-46.433766.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": 0.4241820469798658, "em_stderr": 0.0050612570385902955, "f1": 0.5410476090604083, "f1_stderr": 0.004613044422574753, "acc": 0.48424459945200166, "acc_stderr": 0.010393744134050047 }, "harness|drop|3": { "em": 0.4241820469798658, "em_stderr": 0.0050612570385902955, "f1": 0.5410476090604083, "f1_stderr": 0.004613044422574753 }, "harness|gsm8k|5": { "acc": 0.15238817285822592, "acc_stderr": 0.009899572254794198 }, "harness|winogrande|5": { "acc": 0.8161010260457774, "acc_stderr": 0.010887916013305896 } } ``` ### 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]

orafandina/wiki_long_600k

--- license: apache-2.0 ---

yirenlu/heroicons-captions

--- dataset_info: features: - name: image dtype: image - name: text dtype: string splits: - name: train num_bytes: 4270773.0 num_examples: 292 download_size: 4220476 dataset_size: 4270773.0 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "heroicons-captions" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

yujiepan/awq-model-zoo

--- tags: - awq - llm - quantization --- # yujiepan/awq-model-zoo Here are some pre-computed awq information (scales & clips) used in [llm-awq](https://github.com/mit-han-lab/llm-awq). ## Scripts - Install the forked `llm-awq` at [https://github.com/yujiepan-work/llm-awq/tree/a41a08e79d8eb3d6335485b3625410af22a74426](https://github.com/yujiepan-work/llm-awq/tree/a41a08e79d8eb3d6335485b3625410af22a74426). Note: works with transformers==4.35.2 - Generating awq-info.pt: ```bash python do_awq.py --model_id mistralai/Mistral-7B-v0.1 --w_bit 8 --q_group_size 128 --dump_awq ./awq-info.pt ``` - Load a quantized model: You can use the offical repo to get a fake/real quantized model. Alternatively, you can load a fake-quantized model: ```python from do_awq import FakeAWQModel FakeAWQModel.from_pretrained('mistralai/Mistral-7B-v0.1', awq_meta_path='./awq-info.pt', output_folder='./tmp/') ``` Note: the code is not in good shape. ## Related links - <https://huggingface.co/datasets/mit-han-lab/awq-model-zoo>

DynamicSuperb/EmotionalSpeechAudioClassification_RAVDESS-EmotionalSound

--- license: cc-by-nc-sa-4.0 configs: - config_name: default data_files: - split: test path: data/test-* dataset_info: features: - name: file dtype: string - name: audio dtype: audio - name: instruction dtype: string - name: label dtype: string splits: - name: test num_bytes: 598283894.96 num_examples: 1440 download_size: 325216537 dataset_size: 598283894.96 ---

Falah/story44kids_1_prompts

--- dataset_info: features: - name: prompts dtype: string splits: - name: train num_bytes: 3254 num_examples: 10 download_size: 4900 dataset_size: 3254 --- # Dataset Card for "story44kids_1_prompts" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

open-llm-leaderboard/details_Undi95__X-MythoChronos-13B

--- pretty_name: Evaluation run of Undi95/X-MythoChronos-13B dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [Undi95/X-MythoChronos-13B](https://huggingface.co/Undi95/X-MythoChronos-13B)\ \ 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_Undi95__X-MythoChronos-13B\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-12-09T15:55:58.756519](https://huggingface.co/datasets/open-llm-leaderboard/details_Undi95__X-MythoChronos-13B/blob/main/results_2023-12-09T15-55-58.756519.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\": 0.5641085013010667,\n\ \ \"acc_stderr\": 0.0335879510752552,\n \"acc_norm\": 0.570142814951906,\n\ \ \"acc_norm_stderr\": 0.03430315611658459,\n \"mc1\": 0.37821297429620565,\n\ \ \"mc1_stderr\": 0.01697633590754687,\n \"mc2\": 0.535496493693775,\n\ \ \"mc2_stderr\": 0.015937525418247476\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.5844709897610921,\n \"acc_stderr\": 0.014401366641216383,\n\ \ \"acc_norm\": 0.5972696245733788,\n \"acc_norm_stderr\": 0.01433223630679015\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6448914558852819,\n\ \ \"acc_stderr\": 0.004775681871529864,\n \"acc_norm\": 0.8338976299541924,\n\ \ \"acc_norm_stderr\": 0.0037141188843173825\n },\n \"harness|hendrycksTest-abstract_algebra|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-anatomy|5\": {\n \"acc\": 0.5037037037037037,\n\ \ \"acc_stderr\": 0.04319223625811331,\n \"acc_norm\": 0.5037037037037037,\n\ \ \"acc_norm_stderr\": 0.04319223625811331\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.5657894736842105,\n \"acc_stderr\": 0.040335656678483205,\n\ \ \"acc_norm\": 0.5657894736842105,\n \"acc_norm_stderr\": 0.040335656678483205\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\": 0.5886792452830188,\n \"acc_stderr\": 0.030285009259009798,\n\ \ \"acc_norm\": 0.5886792452830188,\n \"acc_norm_stderr\": 0.030285009259009798\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.6111111111111112,\n\ \ \"acc_stderr\": 0.04076663253918567,\n \"acc_norm\": 0.6111111111111112,\n\ \ \"acc_norm_stderr\": 0.04076663253918567\n },\n \"harness|hendrycksTest-college_chemistry|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-college_computer_science|5\": {\n \"acc\"\ : 0.45,\n \"acc_stderr\": 0.04999999999999999,\n \"acc_norm\": 0.45,\n\ \ \"acc_norm_stderr\": 0.04999999999999999\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ : {\n \"acc\": 0.34,\n \"acc_stderr\": 0.04760952285695235,\n \ \ \"acc_norm\": 0.34,\n \"acc_norm_stderr\": 0.04760952285695235\n \ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.5202312138728323,\n\ \ \"acc_stderr\": 0.03809342081273957,\n \"acc_norm\": 0.5202312138728323,\n\ \ \"acc_norm_stderr\": 0.03809342081273957\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.23529411764705882,\n \"acc_stderr\": 0.04220773659171452,\n\ \ \"acc_norm\": 0.23529411764705882,\n \"acc_norm_stderr\": 0.04220773659171452\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.68,\n \"acc_stderr\": 0.04688261722621505,\n \"acc_norm\": 0.68,\n\ \ \"acc_norm_stderr\": 0.04688261722621505\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.4723404255319149,\n \"acc_stderr\": 0.03263597118409769,\n\ \ \"acc_norm\": 0.4723404255319149,\n \"acc_norm_stderr\": 0.03263597118409769\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.3333333333333333,\n\ \ \"acc_stderr\": 0.044346007015849245,\n \"acc_norm\": 0.3333333333333333,\n\ \ \"acc_norm_stderr\": 0.044346007015849245\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.5379310344827586,\n \"acc_stderr\": 0.041546596717075474,\n\ \ \"acc_norm\": 0.5379310344827586,\n \"acc_norm_stderr\": 0.041546596717075474\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.29894179894179895,\n \"acc_stderr\": 0.023577604791655802,\n \"\ acc_norm\": 0.29894179894179895,\n \"acc_norm_stderr\": 0.023577604791655802\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.3333333333333333,\n\ \ \"acc_stderr\": 0.04216370213557835,\n \"acc_norm\": 0.3333333333333333,\n\ \ \"acc_norm_stderr\": 0.04216370213557835\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.37,\n \"acc_stderr\": 0.04852365870939099,\n \ \ \"acc_norm\": 0.37,\n \"acc_norm_stderr\": 0.04852365870939099\n \ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.6645161290322581,\n\ \ \"acc_stderr\": 0.02686020644472434,\n \"acc_norm\": 0.6645161290322581,\n\ \ \"acc_norm_stderr\": 0.02686020644472434\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\ : {\n \"acc\": 0.4187192118226601,\n \"acc_stderr\": 0.03471192860518468,\n\ \ \"acc_norm\": 0.4187192118226601,\n \"acc_norm_stderr\": 0.03471192860518468\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.56,\n \"acc_stderr\": 0.04988876515698589,\n \"acc_norm\"\ : 0.56,\n \"acc_norm_stderr\": 0.04988876515698589\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.6727272727272727,\n \"acc_stderr\": 0.03663974994391244,\n\ \ \"acc_norm\": 0.6727272727272727,\n \"acc_norm_stderr\": 0.03663974994391244\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.7222222222222222,\n \"acc_stderr\": 0.031911782267135466,\n \"\ acc_norm\": 0.7222222222222222,\n \"acc_norm_stderr\": 0.031911782267135466\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.8082901554404145,\n \"acc_stderr\": 0.02840895362624526,\n\ \ \"acc_norm\": 0.8082901554404145,\n \"acc_norm_stderr\": 0.02840895362624526\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.5256410256410257,\n \"acc_stderr\": 0.025317649726448663,\n\ \ \"acc_norm\": 0.5256410256410257,\n \"acc_norm_stderr\": 0.025317649726448663\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.32222222222222224,\n \"acc_stderr\": 0.028493465091028597,\n \ \ \"acc_norm\": 0.32222222222222224,\n \"acc_norm_stderr\": 0.028493465091028597\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.5756302521008403,\n \"acc_stderr\": 0.032104790510157764,\n\ \ \"acc_norm\": 0.5756302521008403,\n \"acc_norm_stderr\": 0.032104790510157764\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.3443708609271523,\n \"acc_stderr\": 0.03879687024073327,\n \"\ acc_norm\": 0.3443708609271523,\n \"acc_norm_stderr\": 0.03879687024073327\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.7467889908256881,\n \"acc_stderr\": 0.01864407304137504,\n \"\ acc_norm\": 0.7467889908256881,\n \"acc_norm_stderr\": 0.01864407304137504\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.4027777777777778,\n \"acc_stderr\": 0.033448873829978666,\n \"\ acc_norm\": 0.4027777777777778,\n \"acc_norm_stderr\": 0.033448873829978666\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.7450980392156863,\n \"acc_stderr\": 0.030587591351604243,\n \"\ acc_norm\": 0.7450980392156863,\n \"acc_norm_stderr\": 0.030587591351604243\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.7679324894514767,\n \"acc_stderr\": 0.027479744550808503,\n \ \ \"acc_norm\": 0.7679324894514767,\n \"acc_norm_stderr\": 0.027479744550808503\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6816143497757847,\n\ \ \"acc_stderr\": 0.03126580522513713,\n \"acc_norm\": 0.6816143497757847,\n\ \ \"acc_norm_stderr\": 0.03126580522513713\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.6412213740458015,\n \"acc_stderr\": 0.04206739313864908,\n\ \ \"acc_norm\": 0.6412213740458015,\n \"acc_norm_stderr\": 0.04206739313864908\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.7520661157024794,\n \"acc_stderr\": 0.03941897526516303,\n \"\ acc_norm\": 0.7520661157024794,\n \"acc_norm_stderr\": 0.03941897526516303\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7222222222222222,\n\ \ \"acc_stderr\": 0.043300437496507416,\n \"acc_norm\": 0.7222222222222222,\n\ \ \"acc_norm_stderr\": 0.043300437496507416\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.6871165644171779,\n \"acc_stderr\": 0.036429145782924055,\n\ \ \"acc_norm\": 0.6871165644171779,\n \"acc_norm_stderr\": 0.036429145782924055\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.375,\n\ \ \"acc_stderr\": 0.04595091388086298,\n \"acc_norm\": 0.375,\n \ \ \"acc_norm_stderr\": 0.04595091388086298\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.6990291262135923,\n \"acc_stderr\": 0.045416094465039476,\n\ \ \"acc_norm\": 0.6990291262135923,\n \"acc_norm_stderr\": 0.045416094465039476\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8333333333333334,\n\ \ \"acc_stderr\": 0.024414947304543678,\n \"acc_norm\": 0.8333333333333334,\n\ \ \"acc_norm_stderr\": 0.024414947304543678\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.55,\n \"acc_stderr\": 0.04999999999999999,\n \ \ \"acc_norm\": 0.55,\n \"acc_norm_stderr\": 0.04999999999999999\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.7611749680715197,\n\ \ \"acc_stderr\": 0.015246803197398675,\n \"acc_norm\": 0.7611749680715197,\n\ \ \"acc_norm_stderr\": 0.015246803197398675\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.6416184971098265,\n \"acc_stderr\": 0.025816756791584194,\n\ \ \"acc_norm\": 0.6416184971098265,\n \"acc_norm_stderr\": 0.025816756791584194\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.488268156424581,\n\ \ \"acc_stderr\": 0.016717897676932162,\n \"acc_norm\": 0.488268156424581,\n\ \ \"acc_norm_stderr\": 0.016717897676932162\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.6111111111111112,\n \"acc_stderr\": 0.027914055510467998,\n\ \ \"acc_norm\": 0.6111111111111112,\n \"acc_norm_stderr\": 0.027914055510467998\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.6463022508038585,\n\ \ \"acc_stderr\": 0.027155208103200865,\n \"acc_norm\": 0.6463022508038585,\n\ \ \"acc_norm_stderr\": 0.027155208103200865\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.6419753086419753,\n \"acc_stderr\": 0.026675611926037106,\n\ \ \"acc_norm\": 0.6419753086419753,\n \"acc_norm_stderr\": 0.026675611926037106\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.41843971631205673,\n \"acc_stderr\": 0.02942799403941999,\n \ \ \"acc_norm\": 0.41843971631205673,\n \"acc_norm_stderr\": 0.02942799403941999\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.44002607561929596,\n\ \ \"acc_stderr\": 0.012678037478574513,\n \"acc_norm\": 0.44002607561929596,\n\ \ \"acc_norm_stderr\": 0.012678037478574513\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.5294117647058824,\n \"acc_stderr\": 0.03032024326500413,\n\ \ \"acc_norm\": 0.5294117647058824,\n \"acc_norm_stderr\": 0.03032024326500413\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.5751633986928104,\n \"acc_stderr\": 0.019997973035458333,\n \ \ \"acc_norm\": 0.5751633986928104,\n \"acc_norm_stderr\": 0.019997973035458333\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6363636363636364,\n\ \ \"acc_stderr\": 0.046075820907199756,\n \"acc_norm\": 0.6363636363636364,\n\ \ \"acc_norm_stderr\": 0.046075820907199756\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.6326530612244898,\n \"acc_stderr\": 0.03086214492108756,\n\ \ \"acc_norm\": 0.6326530612244898,\n \"acc_norm_stderr\": 0.03086214492108756\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.7661691542288557,\n\ \ \"acc_stderr\": 0.029929415408348384,\n \"acc_norm\": 0.7661691542288557,\n\ \ \"acc_norm_stderr\": 0.029929415408348384\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.83,\n \"acc_stderr\": 0.03775251680686371,\n \ \ \"acc_norm\": 0.83,\n \"acc_norm_stderr\": 0.03775251680686371\n \ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.46987951807228917,\n\ \ \"acc_stderr\": 0.03885425420866766,\n \"acc_norm\": 0.46987951807228917,\n\ \ \"acc_norm_stderr\": 0.03885425420866766\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.7894736842105263,\n \"acc_stderr\": 0.031267817146631786,\n\ \ \"acc_norm\": 0.7894736842105263,\n \"acc_norm_stderr\": 0.031267817146631786\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.37821297429620565,\n\ \ \"mc1_stderr\": 0.01697633590754687,\n \"mc2\": 0.535496493693775,\n\ \ \"mc2_stderr\": 0.015937525418247476\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.744277821625888,\n \"acc_stderr\": 0.012261253845440474\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.22971948445792267,\n \ \ \"acc_stderr\": 0.011586857544997501\n }\n}\n```" repo_url: https://huggingface.co/Undi95/X-MythoChronos-13B 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_09T15_55_58.756519 path: - '**/details_harness|arc:challenge|25_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2023-12-09T15-55-58.756519.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '**/details_harness|gsm8k|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_12_09T15_55_58.756519 path: - '**/details_harness|hellaswag|10_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-management|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-management|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-12-09T15-55-58.756519.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '**/details_harness|hendrycksTest-management|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '**/details_harness|hendrycksTest-virology|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-09T15-55-58.756519.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_12_09T15_55_58.756519 path: - '**/details_harness|truthfulqa:mc|0_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2023-12-09T15-55-58.756519.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_12_09T15_55_58.756519 path: - '**/details_harness|winogrande|5_2023-12-09T15-55-58.756519.parquet' - split: latest path: - '**/details_harness|winogrande|5_2023-12-09T15-55-58.756519.parquet' - config_name: results data_files: - split: 2023_12_09T15_55_58.756519 path: - results_2023-12-09T15-55-58.756519.parquet - split: latest path: - results_2023-12-09T15-55-58.756519.parquet --- # Dataset Card for Evaluation run of Undi95/X-MythoChronos-13B ## Dataset Description - **Homepage:** - **Repository:** https://huggingface.co/Undi95/X-MythoChronos-13B - **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 [Undi95/X-MythoChronos-13B](https://huggingface.co/Undi95/X-MythoChronos-13B) 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_Undi95__X-MythoChronos-13B", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-12-09T15:55:58.756519](https://huggingface.co/datasets/open-llm-leaderboard/details_Undi95__X-MythoChronos-13B/blob/main/results_2023-12-09T15-55-58.756519.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": 0.5641085013010667, "acc_stderr": 0.0335879510752552, "acc_norm": 0.570142814951906, "acc_norm_stderr": 0.03430315611658459, "mc1": 0.37821297429620565, "mc1_stderr": 0.01697633590754687, "mc2": 0.535496493693775, "mc2_stderr": 0.015937525418247476 }, "harness|arc:challenge|25": { "acc": 0.5844709897610921, "acc_stderr": 0.014401366641216383, "acc_norm": 0.5972696245733788, "acc_norm_stderr": 0.01433223630679015 }, "harness|hellaswag|10": { "acc": 0.6448914558852819, "acc_stderr": 0.004775681871529864, "acc_norm": 0.8338976299541924, "acc_norm_stderr": 0.0037141188843173825 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.32, "acc_stderr": 0.046882617226215034, "acc_norm": 0.32, "acc_norm_stderr": 0.046882617226215034 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.5037037037037037, "acc_stderr": 0.04319223625811331, "acc_norm": 0.5037037037037037, "acc_norm_stderr": 0.04319223625811331 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.5657894736842105, "acc_stderr": 0.040335656678483205, "acc_norm": 0.5657894736842105, "acc_norm_stderr": 0.040335656678483205 }, "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": 0.5886792452830188, "acc_stderr": 0.030285009259009798, "acc_norm": 0.5886792452830188, "acc_norm_stderr": 0.030285009259009798 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.6111111111111112, "acc_stderr": 0.04076663253918567, "acc_norm": 0.6111111111111112, "acc_norm_stderr": 0.04076663253918567 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.38, "acc_stderr": 0.04878317312145633, "acc_norm": 0.38, "acc_norm_stderr": 0.04878317312145633 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.45, "acc_stderr": 0.04999999999999999, "acc_norm": 0.45, "acc_norm_stderr": 0.04999999999999999 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.34, "acc_stderr": 0.04760952285695235, "acc_norm": 0.34, "acc_norm_stderr": 0.04760952285695235 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.5202312138728323, "acc_stderr": 0.03809342081273957, "acc_norm": 0.5202312138728323, "acc_norm_stderr": 0.03809342081273957 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.23529411764705882, "acc_stderr": 0.04220773659171452, "acc_norm": 0.23529411764705882, "acc_norm_stderr": 0.04220773659171452 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.68, "acc_stderr": 0.04688261722621505, "acc_norm": 0.68, "acc_norm_stderr": 0.04688261722621505 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.4723404255319149, "acc_stderr": 0.03263597118409769, "acc_norm": 0.4723404255319149, "acc_norm_stderr": 0.03263597118409769 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.3333333333333333, "acc_stderr": 0.044346007015849245, "acc_norm": 0.3333333333333333, "acc_norm_stderr": 0.044346007015849245 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.5379310344827586, "acc_stderr": 0.041546596717075474, "acc_norm": 0.5379310344827586, "acc_norm_stderr": 0.041546596717075474 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.29894179894179895, "acc_stderr": 0.023577604791655802, "acc_norm": 0.29894179894179895, "acc_norm_stderr": 0.023577604791655802 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.3333333333333333, "acc_stderr": 0.04216370213557835, "acc_norm": 0.3333333333333333, "acc_norm_stderr": 0.04216370213557835 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.37, "acc_stderr": 0.04852365870939099, "acc_norm": 0.37, "acc_norm_stderr": 0.04852365870939099 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.6645161290322581, "acc_stderr": 0.02686020644472434, "acc_norm": 0.6645161290322581, "acc_norm_stderr": 0.02686020644472434 }, 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"acc_norm": 0.55, "acc_norm_stderr": 0.04999999999999999 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.7611749680715197, "acc_stderr": 0.015246803197398675, "acc_norm": 0.7611749680715197, "acc_norm_stderr": 0.015246803197398675 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.6416184971098265, "acc_stderr": 0.025816756791584194, "acc_norm": 0.6416184971098265, "acc_norm_stderr": 0.025816756791584194 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.488268156424581, "acc_stderr": 0.016717897676932162, "acc_norm": 0.488268156424581, "acc_norm_stderr": 0.016717897676932162 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.6111111111111112, "acc_stderr": 0.027914055510467998, "acc_norm": 0.6111111111111112, "acc_norm_stderr": 0.027914055510467998 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.6463022508038585, "acc_stderr": 0.027155208103200865, "acc_norm": 0.6463022508038585, "acc_norm_stderr": 0.027155208103200865 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.6419753086419753, "acc_stderr": 0.026675611926037106, "acc_norm": 0.6419753086419753, "acc_norm_stderr": 0.026675611926037106 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.41843971631205673, "acc_stderr": 0.02942799403941999, "acc_norm": 0.41843971631205673, "acc_norm_stderr": 0.02942799403941999 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.44002607561929596, "acc_stderr": 0.012678037478574513, "acc_norm": 0.44002607561929596, "acc_norm_stderr": 0.012678037478574513 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.5294117647058824, "acc_stderr": 0.03032024326500413, "acc_norm": 0.5294117647058824, "acc_norm_stderr": 0.03032024326500413 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.5751633986928104, "acc_stderr": 0.019997973035458333, "acc_norm": 0.5751633986928104, "acc_norm_stderr": 0.019997973035458333 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.6363636363636364, "acc_stderr": 0.046075820907199756, "acc_norm": 0.6363636363636364, "acc_norm_stderr": 0.046075820907199756 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.6326530612244898, "acc_stderr": 0.03086214492108756, "acc_norm": 0.6326530612244898, "acc_norm_stderr": 0.03086214492108756 }, "harness|hendrycksTest-sociology|5": { "acc": 0.7661691542288557, "acc_stderr": 0.029929415408348384, "acc_norm": 0.7661691542288557, "acc_norm_stderr": 0.029929415408348384 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.83, "acc_stderr": 0.03775251680686371, "acc_norm": 0.83, "acc_norm_stderr": 0.03775251680686371 }, "harness|hendrycksTest-virology|5": { "acc": 0.46987951807228917, "acc_stderr": 0.03885425420866766, "acc_norm": 0.46987951807228917, "acc_norm_stderr": 0.03885425420866766 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.7894736842105263, "acc_stderr": 0.031267817146631786, "acc_norm": 0.7894736842105263, "acc_norm_stderr": 0.031267817146631786 }, "harness|truthfulqa:mc|0": { "mc1": 0.37821297429620565, "mc1_stderr": 0.01697633590754687, "mc2": 0.535496493693775, "mc2_stderr": 0.015937525418247476 }, "harness|winogrande|5": { "acc": 0.744277821625888, "acc_stderr": 0.012261253845440474 }, "harness|gsm8k|5": { "acc": 0.22971948445792267, "acc_stderr": 0.011586857544997501 } } ``` ### 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]

Melanit/testsetjax

--- dataset_info: features: - name: audio dtype: audio - name: transcription dtype: string - name: chunks list: - name: text dtype: string - name: timestamp sequence: float64 splits: - name: example num_bytes: 5699512.0 num_examples: 10 download_size: 4385109 dataset_size: 5699512.0 configs: - config_name: default data_files: - split: example path: data/example-* --- # Dataset Card for "testsetjax" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

Falah/facebook_engagement_data

--- dataset_info: features: - name: source_id dtype: string - name: source_name dtype: string - name: author dtype: string - name: title dtype: string - name: description dtype: string - name: url dtype: string - name: url_to_image dtype: string - name: published_at dtype: string - name: content dtype: string - name: top_article dtype: float64 - name: engagement_reaction_count dtype: float64 - name: engagement_comment_count dtype: float64 - name: engagement_share_count dtype: float64 - name: engagement_comment_plugin_count dtype: float64 splits: - name: train num_bytes: 1111542 num_examples: 1428 download_size: 622130 dataset_size: 1111542 --- # Dataset Card for "facebook_engagement_data" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

misterwhisperorg/datasets2

--- license: apache-2.0 ---

CyberHarem/kazemaru_arknights

--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of kazemaru/カゼマル/风丸 (Arknights) This is the dataset of kazemaru/カゼマル/风丸 (Arknights), containing 44 images and their tags. The core tags of this character are `animal_ears, cat_ears, breasts, long_hair, earrings, hair_ornament, tail, animal_ear_fluff, purple_eyes, cat_girl, cat_tail, multicolored_hair, hairclip, medium_breasts, braid, grey_hair, maid_headdress`, 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 | 44 | 85.95 MiB | [Download](https://huggingface.co/datasets/CyberHarem/kazemaru_arknights/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | | 1200 | 44 | 69.94 MiB | [Download](https://huggingface.co/datasets/CyberHarem/kazemaru_arknights/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. | | stage3-p480-1200 | 116 | 143.99 MiB | [Download](https://huggingface.co/datasets/CyberHarem/kazemaru_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/kazemaru_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 | 28 | ![](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, looking_at_viewer, white_gloves, black_dress, elbow_gloves, tongue_out, blush, puffy_short_sleeves, cleavage, holding, maid, twin_braids, smile, cross_earrings, white_pantyhose, blonde_hair, large_breasts, pink_eyes, simple_background | | 1 | 16 | ![](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, solo, looking_at_viewer, open_mouth, simple_background, hairband, open_jacket, single_hair_bun, single_side_bun, white_background, yellow_jacket, bare_shoulders, jewelry, long_sleeves, blush, collarbone, off_shoulder, smile, thighhighs, cat, grey_eyes, holding, shorts | ### Table Version | # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | solo | looking_at_viewer | white_gloves | black_dress | elbow_gloves | tongue_out | blush | puffy_short_sleeves | cleavage | holding | maid | twin_braids | smile | cross_earrings | white_pantyhose | blonde_hair | large_breasts | pink_eyes | simple_background | open_mouth | hairband | open_jacket | single_hair_bun | single_side_bun | white_background | yellow_jacket | bare_shoulders | jewelry | long_sleeves | collarbone | off_shoulder | thighhighs | cat | grey_eyes | shorts | |----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:-------|:--------------------|:---------------|:--------------|:---------------|:-------------|:--------|:----------------------|:-----------|:----------|:-------|:--------------|:--------|:-----------------|:------------------|:--------------|:----------------|:------------|:--------------------|:-------------|:-----------|:--------------|:------------------|:------------------|:-------------------|:----------------|:-----------------|:----------|:---------------|:-------------|:---------------|:-------------|:------|:------------|:---------| | 0 | 28 | ![](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 | | | | | | | | | | | | | | | | | | 1 | 16 | ![](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 | X | X | X | X |

Thanmay/revised_toxigen-hi

--- dataset_info: features: - name: text dtype: string - name: label dtype: string - name: toxicity_score dtype: float64 - name: id dtype: int64 - name: target_groups sequence: string - name: itv2 hi text dtype: string splits: - name: validation num_bytes: 2482 num_examples: 5 - name: test num_bytes: 2680072 num_examples: 6509 download_size: 1138333 dataset_size: 2682554 configs: - config_name: default data_files: - split: validation path: data/validation-* - split: test path: data/test-* ---

open-llm-leaderboard/details_huseyinatahaninan__phi-2-dpo

--- pretty_name: Evaluation run of huseyinatahaninan/phi-2-dpo dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [huseyinatahaninan/phi-2-dpo](https://huggingface.co/huseyinatahaninan/phi-2-dpo)\ \ 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_huseyinatahaninan__phi-2-dpo\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-02-12T21:58:15.192256](https://huggingface.co/datasets/open-llm-leaderboard/details_huseyinatahaninan__phi-2-dpo/blob/main/results_2024-02-12T21-58-15.192256.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\": 0.5870761708653485,\n\ \ \"acc_stderr\": 0.03369469581974977,\n \"acc_norm\": 0.5884353168964569,\n\ \ \"acc_norm_stderr\": 0.034381836157511524,\n \"mc1\": 0.3157894736842105,\n\ \ \"mc1_stderr\": 0.016272287957916912,\n \"mc2\": 0.45354154186159823,\n\ \ \"mc2_stderr\": 0.015221463708711597\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.6040955631399317,\n \"acc_stderr\": 0.014291228393536588,\n\ \ \"acc_norm\": 0.6305460750853242,\n \"acc_norm_stderr\": 0.014104578366491897\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.5765783708424617,\n\ \ \"acc_stderr\": 0.004930911515084782,\n \"acc_norm\": 0.7635929097789285,\n\ \ \"acc_norm_stderr\": 0.004240066898702509\n },\n \"harness|hendrycksTest-abstract_algebra|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-anatomy|5\": {\n \"acc\": 0.4444444444444444,\n\ \ \"acc_stderr\": 0.04292596718256981,\n \"acc_norm\": 0.4444444444444444,\n\ \ \"acc_norm_stderr\": 0.04292596718256981\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.5986842105263158,\n \"acc_stderr\": 0.039889037033362836,\n\ \ \"acc_norm\": 0.5986842105263158,\n \"acc_norm_stderr\": 0.039889037033362836\n\ \ },\n \"harness|hendrycksTest-business_ethics|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-clinical_knowledge|5\"\ : {\n \"acc\": 0.6150943396226415,\n \"acc_stderr\": 0.02994649856769995,\n\ \ \"acc_norm\": 0.6150943396226415,\n \"acc_norm_stderr\": 0.02994649856769995\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.6805555555555556,\n\ \ \"acc_stderr\": 0.038990736873573344,\n \"acc_norm\": 0.6805555555555556,\n\ \ \"acc_norm_stderr\": 0.038990736873573344\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.39,\n \"acc_stderr\": 0.04902071300001975,\n \ \ \"acc_norm\": 0.39,\n \"acc_norm_stderr\": 0.04902071300001975\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\": 0.42,\n \"acc_stderr\": 0.04960449637488584,\n \ \ \"acc_norm\": 0.42,\n \"acc_norm_stderr\": 0.04960449637488584\n \ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.5953757225433526,\n\ \ \"acc_stderr\": 0.03742461193887248,\n \"acc_norm\": 0.5953757225433526,\n\ \ \"acc_norm_stderr\": 0.03742461193887248\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.4215686274509804,\n \"acc_stderr\": 0.04913595201274498,\n\ \ \"acc_norm\": 0.4215686274509804,\n \"acc_norm_stderr\": 0.04913595201274498\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.73,\n \"acc_stderr\": 0.04461960433384739,\n \"acc_norm\": 0.73,\n\ \ \"acc_norm_stderr\": 0.04461960433384739\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.5106382978723404,\n \"acc_stderr\": 0.03267862331014063,\n\ \ \"acc_norm\": 0.5106382978723404,\n \"acc_norm_stderr\": 0.03267862331014063\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.3684210526315789,\n\ \ \"acc_stderr\": 0.04537815354939392,\n \"acc_norm\": 0.3684210526315789,\n\ \ \"acc_norm_stderr\": 0.04537815354939392\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.5517241379310345,\n \"acc_stderr\": 0.04144311810878152,\n\ \ \"acc_norm\": 0.5517241379310345,\n \"acc_norm_stderr\": 0.04144311810878152\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.46825396825396826,\n \"acc_stderr\": 0.025699352832131796,\n \"\ acc_norm\": 0.46825396825396826,\n \"acc_norm_stderr\": 0.025699352832131796\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.373015873015873,\n\ \ \"acc_stderr\": 0.04325506042017086,\n \"acc_norm\": 0.373015873015873,\n\ \ \"acc_norm_stderr\": 0.04325506042017086\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.35,\n \"acc_stderr\": 0.047937248544110196,\n \ \ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.047937248544110196\n \ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\"\ : 0.7096774193548387,\n \"acc_stderr\": 0.025822106119415898,\n \"\ acc_norm\": 0.7096774193548387,\n \"acc_norm_stderr\": 0.025822106119415898\n\ \ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\ : 0.4729064039408867,\n \"acc_stderr\": 0.03512819077876106,\n \"\ acc_norm\": 0.4729064039408867,\n \"acc_norm_stderr\": 0.03512819077876106\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\": 0.6787878787878788,\n \"acc_stderr\": 0.036462049632538115,\n\ \ \"acc_norm\": 0.6787878787878788,\n \"acc_norm_stderr\": 0.036462049632538115\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.7272727272727273,\n \"acc_stderr\": 0.03173071239071724,\n \"\ acc_norm\": 0.7272727272727273,\n \"acc_norm_stderr\": 0.03173071239071724\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.8031088082901554,\n \"acc_stderr\": 0.02869787397186067,\n\ \ \"acc_norm\": 0.8031088082901554,\n \"acc_norm_stderr\": 0.02869787397186067\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.5897435897435898,\n \"acc_stderr\": 0.024939313906940784,\n\ \ \"acc_norm\": 0.5897435897435898,\n \"acc_norm_stderr\": 0.024939313906940784\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.32222222222222224,\n \"acc_stderr\": 0.028493465091028597,\n \ \ \"acc_norm\": 0.32222222222222224,\n \"acc_norm_stderr\": 0.028493465091028597\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.592436974789916,\n \"acc_stderr\": 0.03191863374478465,\n \ \ \"acc_norm\": 0.592436974789916,\n \"acc_norm_stderr\": 0.03191863374478465\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.39072847682119205,\n \"acc_stderr\": 0.039837983066598075,\n \"\ acc_norm\": 0.39072847682119205,\n \"acc_norm_stderr\": 0.039837983066598075\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.8055045871559633,\n \"acc_stderr\": 0.01697028909045803,\n \"\ acc_norm\": 0.8055045871559633,\n \"acc_norm_stderr\": 0.01697028909045803\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.48148148148148145,\n \"acc_stderr\": 0.03407632093854052,\n \"\ acc_norm\": 0.48148148148148145,\n \"acc_norm_stderr\": 0.03407632093854052\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.6764705882352942,\n \"acc_stderr\": 0.03283472056108561,\n \"\ acc_norm\": 0.6764705882352942,\n \"acc_norm_stderr\": 0.03283472056108561\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.7468354430379747,\n \"acc_stderr\": 0.028304657943035296,\n \ \ \"acc_norm\": 0.7468354430379747,\n \"acc_norm_stderr\": 0.028304657943035296\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6502242152466368,\n\ \ \"acc_stderr\": 0.03200736719484503,\n \"acc_norm\": 0.6502242152466368,\n\ \ \"acc_norm_stderr\": 0.03200736719484503\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.7175572519083969,\n \"acc_stderr\": 0.03948406125768361,\n\ \ \"acc_norm\": 0.7175572519083969,\n \"acc_norm_stderr\": 0.03948406125768361\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.7355371900826446,\n \"acc_stderr\": 0.040261875275912046,\n \"\ acc_norm\": 0.7355371900826446,\n \"acc_norm_stderr\": 0.040261875275912046\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\": 0.7607361963190185,\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\": 0.7281553398058253,\n \"acc_stderr\": 0.044052680241409216,\n\ \ \"acc_norm\": 0.7281553398058253,\n \"acc_norm_stderr\": 0.044052680241409216\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.811965811965812,\n\ \ \"acc_stderr\": 0.025598193686652265,\n \"acc_norm\": 0.811965811965812,\n\ \ \"acc_norm_stderr\": 0.025598193686652265\n },\n \"harness|hendrycksTest-medical_genetics|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-miscellaneous|5\": {\n \"acc\": 0.6781609195402298,\n\ \ \"acc_stderr\": 0.0167063814150579,\n \"acc_norm\": 0.6781609195402298,\n\ \ \"acc_norm_stderr\": 0.0167063814150579\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.6676300578034682,\n \"acc_stderr\": 0.025361168749688228,\n\ \ \"acc_norm\": 0.6676300578034682,\n \"acc_norm_stderr\": 0.025361168749688228\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.24916201117318434,\n\ \ \"acc_stderr\": 0.014465893829859924,\n \"acc_norm\": 0.24916201117318434,\n\ \ \"acc_norm_stderr\": 0.014465893829859924\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.6372549019607843,\n \"acc_stderr\": 0.02753007844711031,\n\ \ \"acc_norm\": 0.6372549019607843,\n \"acc_norm_stderr\": 0.02753007844711031\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.6366559485530546,\n\ \ \"acc_stderr\": 0.027316847674192703,\n \"acc_norm\": 0.6366559485530546,\n\ \ \"acc_norm_stderr\": 0.027316847674192703\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.6265432098765432,\n \"acc_stderr\": 0.02691500301138016,\n\ \ \"acc_norm\": 0.6265432098765432,\n \"acc_norm_stderr\": 0.02691500301138016\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.4326241134751773,\n \"acc_stderr\": 0.029555454236778852,\n \ \ \"acc_norm\": 0.4326241134751773,\n \"acc_norm_stderr\": 0.029555454236778852\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.4217731421121252,\n\ \ \"acc_stderr\": 0.012612974369390973,\n \"acc_norm\": 0.4217731421121252,\n\ \ \"acc_norm_stderr\": 0.012612974369390973\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.46691176470588236,\n \"acc_stderr\": 0.030306257722468314,\n\ \ \"acc_norm\": 0.46691176470588236,\n \"acc_norm_stderr\": 0.030306257722468314\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.5637254901960784,\n \"acc_stderr\": 0.02006287424353913,\n \ \ \"acc_norm\": 0.5637254901960784,\n \"acc_norm_stderr\": 0.02006287424353913\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\": 0.710204081632653,\n \"acc_stderr\": 0.029043088683304328,\n\ \ \"acc_norm\": 0.710204081632653,\n \"acc_norm_stderr\": 0.029043088683304328\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8059701492537313,\n\ \ \"acc_stderr\": 0.027962677604768924,\n \"acc_norm\": 0.8059701492537313,\n\ \ \"acc_norm_stderr\": 0.027962677604768924\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.77,\n \"acc_stderr\": 0.042295258468165065,\n \ \ \"acc_norm\": 0.77,\n \"acc_norm_stderr\": 0.042295258468165065\n \ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.4759036144578313,\n\ \ \"acc_stderr\": 0.038879718495972646,\n \"acc_norm\": 0.4759036144578313,\n\ \ \"acc_norm_stderr\": 0.038879718495972646\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.7076023391812866,\n \"acc_stderr\": 0.034886477134579215,\n\ \ \"acc_norm\": 0.7076023391812866,\n \"acc_norm_stderr\": 0.034886477134579215\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.3157894736842105,\n\ \ \"mc1_stderr\": 0.016272287957916912,\n \"mc2\": 0.45354154186159823,\n\ \ \"mc2_stderr\": 0.015221463708711597\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.7403314917127072,\n \"acc_stderr\": 0.012322700705552667\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.5670962850644428,\n \ \ \"acc_stderr\": 0.013647916362576054\n }\n}\n```" repo_url: https://huggingface.co/huseyinatahaninan/phi-2-dpo 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_12T21_58_15.192256 path: - '**/details_harness|arc:challenge|25_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2024-02-12T21-58-15.192256.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '**/details_harness|gsm8k|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_02_12T21_58_15.192256 path: - '**/details_harness|hellaswag|10_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-management|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-management|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-02-12T21-58-15.192256.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '**/details_harness|hendrycksTest-anatomy|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '**/details_harness|hendrycksTest-astronomy|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '**/details_harness|hendrycksTest-college_biology|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '**/details_harness|hendrycksTest-college_physics|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '**/details_harness|hendrycksTest-computer_security|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '**/details_harness|hendrycksTest-econometrics|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '**/details_harness|hendrycksTest-global_facts|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '**/details_harness|hendrycksTest-human_aging|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '**/details_harness|hendrycksTest-international_law|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '**/details_harness|hendrycksTest-management|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '**/details_harness|hendrycksTest-marketing|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '**/details_harness|hendrycksTest-nutrition|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '**/details_harness|hendrycksTest-philosophy|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '**/details_harness|hendrycksTest-prehistory|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '**/details_harness|hendrycksTest-professional_law|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '**/details_harness|hendrycksTest-public_relations|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '**/details_harness|hendrycksTest-security_studies|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '**/details_harness|hendrycksTest-sociology|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '**/details_harness|hendrycksTest-virology|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '**/details_harness|hendrycksTest-world_religions|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2024-02-12T21-58-15.192256.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_02_12T21_58_15.192256 path: - '**/details_harness|truthfulqa:mc|0_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2024-02-12T21-58-15.192256.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_02_12T21_58_15.192256 path: - '**/details_harness|winogrande|5_2024-02-12T21-58-15.192256.parquet' - split: latest path: - '**/details_harness|winogrande|5_2024-02-12T21-58-15.192256.parquet' - config_name: results data_files: - split: 2024_02_12T21_58_15.192256 path: - results_2024-02-12T21-58-15.192256.parquet - split: latest path: - results_2024-02-12T21-58-15.192256.parquet --- # Dataset Card for Evaluation run of huseyinatahaninan/phi-2-dpo  Dataset automatically created during the evaluation run of model [huseyinatahaninan/phi-2-dpo](https://huggingface.co/huseyinatahaninan/phi-2-dpo) 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_huseyinatahaninan__phi-2-dpo", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-02-12T21:58:15.192256](https://huggingface.co/datasets/open-llm-leaderboard/details_huseyinatahaninan__phi-2-dpo/blob/main/results_2024-02-12T21-58-15.192256.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": 0.5870761708653485, "acc_stderr": 0.03369469581974977, "acc_norm": 0.5884353168964569, "acc_norm_stderr": 0.034381836157511524, "mc1": 0.3157894736842105, "mc1_stderr": 0.016272287957916912, "mc2": 0.45354154186159823, "mc2_stderr": 0.015221463708711597 }, "harness|arc:challenge|25": { "acc": 0.6040955631399317, "acc_stderr": 0.014291228393536588, "acc_norm": 0.6305460750853242, "acc_norm_stderr": 0.014104578366491897 }, "harness|hellaswag|10": { "acc": 0.5765783708424617, "acc_stderr": 0.004930911515084782, "acc_norm": 0.7635929097789285, "acc_norm_stderr": 0.004240066898702509 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.4444444444444444, "acc_stderr": 0.04292596718256981, "acc_norm": 0.4444444444444444, "acc_norm_stderr": 0.04292596718256981 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.5986842105263158, "acc_stderr": 0.039889037033362836, "acc_norm": 0.5986842105263158, "acc_norm_stderr": 0.039889037033362836 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.57, "acc_stderr": 0.04975698519562428, "acc_norm": 0.57, "acc_norm_stderr": 0.04975698519562428 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.6150943396226415, "acc_stderr": 0.02994649856769995, "acc_norm": 0.6150943396226415, "acc_norm_stderr": 0.02994649856769995 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.6805555555555556, "acc_stderr": 0.038990736873573344, "acc_norm": 0.6805555555555556, "acc_norm_stderr": 0.038990736873573344 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.39, "acc_stderr": 0.04902071300001975, "acc_norm": 0.39, "acc_norm_stderr": 0.04902071300001975 }, "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": 0.42, "acc_stderr": 0.04960449637488584, "acc_norm": 0.42, "acc_norm_stderr": 0.04960449637488584 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.5953757225433526, "acc_stderr": 0.03742461193887248, "acc_norm": 0.5953757225433526, "acc_norm_stderr": 0.03742461193887248 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.4215686274509804, "acc_stderr": 0.04913595201274498, "acc_norm": 0.4215686274509804, "acc_norm_stderr": 0.04913595201274498 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.73, "acc_stderr": 0.04461960433384739, "acc_norm": 0.73, "acc_norm_stderr": 0.04461960433384739 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.5106382978723404, "acc_stderr": 0.03267862331014063, "acc_norm": 0.5106382978723404, "acc_norm_stderr": 0.03267862331014063 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.3684210526315789, "acc_stderr": 0.04537815354939392, "acc_norm": 0.3684210526315789, "acc_norm_stderr": 0.04537815354939392 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.5517241379310345, "acc_stderr": 0.04144311810878152, "acc_norm": 0.5517241379310345, "acc_norm_stderr": 0.04144311810878152 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.46825396825396826, "acc_stderr": 0.025699352832131796, "acc_norm": 0.46825396825396826, "acc_norm_stderr": 0.025699352832131796 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.373015873015873, "acc_stderr": 0.04325506042017086, "acc_norm": 0.373015873015873, "acc_norm_stderr": 0.04325506042017086 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.35, "acc_stderr": 0.047937248544110196, "acc_norm": 0.35, "acc_norm_stderr": 0.047937248544110196 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.7096774193548387, "acc_stderr": 0.025822106119415898, "acc_norm": 0.7096774193548387, "acc_norm_stderr": 0.025822106119415898 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.4729064039408867, "acc_stderr": 0.03512819077876106, "acc_norm": 0.4729064039408867, "acc_norm_stderr": 0.03512819077876106 }, "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": 0.6787878787878788, "acc_stderr": 0.036462049632538115, "acc_norm": 0.6787878787878788, "acc_norm_stderr": 0.036462049632538115 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.7272727272727273, "acc_stderr": 0.03173071239071724, "acc_norm": 0.7272727272727273, "acc_norm_stderr": 0.03173071239071724 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.8031088082901554, "acc_stderr": 0.02869787397186067, "acc_norm": 0.8031088082901554, "acc_norm_stderr": 0.02869787397186067 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.5897435897435898, "acc_stderr": 0.024939313906940784, "acc_norm": 0.5897435897435898, "acc_norm_stderr": 0.024939313906940784 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.32222222222222224, "acc_stderr": 0.028493465091028597, "acc_norm": 0.32222222222222224, "acc_norm_stderr": 0.028493465091028597 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.592436974789916, "acc_stderr": 0.03191863374478465, "acc_norm": 0.592436974789916, "acc_norm_stderr": 0.03191863374478465 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.39072847682119205, "acc_stderr": 0.039837983066598075, "acc_norm": 0.39072847682119205, "acc_norm_stderr": 0.039837983066598075 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.8055045871559633, "acc_stderr": 0.01697028909045803, "acc_norm": 0.8055045871559633, "acc_norm_stderr": 0.01697028909045803 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.48148148148148145, "acc_stderr": 0.03407632093854052, "acc_norm": 0.48148148148148145, "acc_norm_stderr": 0.03407632093854052 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.6764705882352942, "acc_stderr": 0.03283472056108561, "acc_norm": 0.6764705882352942, "acc_norm_stderr": 0.03283472056108561 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.7468354430379747, "acc_stderr": 0.028304657943035296, "acc_norm": 0.7468354430379747, "acc_norm_stderr": 0.028304657943035296 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.6502242152466368, "acc_stderr": 0.03200736719484503, "acc_norm": 0.6502242152466368, "acc_norm_stderr": 0.03200736719484503 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.7175572519083969, "acc_stderr": 0.03948406125768361, "acc_norm": 0.7175572519083969, "acc_norm_stderr": 0.03948406125768361 }, "harness|hendrycksTest-international_law|5": { "acc": 0.7355371900826446, "acc_stderr": 0.040261875275912046, "acc_norm": 0.7355371900826446, "acc_norm_stderr": 0.040261875275912046 }, "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": 0.7607361963190185, "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": 0.7281553398058253, "acc_stderr": 0.044052680241409216, "acc_norm": 0.7281553398058253, "acc_norm_stderr": 0.044052680241409216 }, "harness|hendrycksTest-marketing|5": { "acc": 0.811965811965812, "acc_stderr": 0.025598193686652265, "acc_norm": 0.811965811965812, "acc_norm_stderr": 0.025598193686652265 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.64, "acc_stderr": 0.04824181513244218, "acc_norm": 0.64, "acc_norm_stderr": 0.04824181513244218 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.6781609195402298, "acc_stderr": 0.0167063814150579, "acc_norm": 0.6781609195402298, "acc_norm_stderr": 0.0167063814150579 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.6676300578034682, "acc_stderr": 0.025361168749688228, "acc_norm": 0.6676300578034682, "acc_norm_stderr": 0.025361168749688228 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.24916201117318434, "acc_stderr": 0.014465893829859924, "acc_norm": 0.24916201117318434, "acc_norm_stderr": 0.014465893829859924 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.6372549019607843, "acc_stderr": 0.02753007844711031, "acc_norm": 0.6372549019607843, "acc_norm_stderr": 0.02753007844711031 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.6366559485530546, "acc_stderr": 0.027316847674192703, "acc_norm": 0.6366559485530546, "acc_norm_stderr": 0.027316847674192703 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.6265432098765432, "acc_stderr": 0.02691500301138016, "acc_norm": 0.6265432098765432, "acc_norm_stderr": 0.02691500301138016 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.4326241134751773, "acc_stderr": 0.029555454236778852, "acc_norm": 0.4326241134751773, "acc_norm_stderr": 0.029555454236778852 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.4217731421121252, "acc_stderr": 0.012612974369390973, "acc_norm": 0.4217731421121252, "acc_norm_stderr": 0.012612974369390973 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.46691176470588236, "acc_stderr": 0.030306257722468314, "acc_norm": 0.46691176470588236, "acc_norm_stderr": 0.030306257722468314 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.5637254901960784, "acc_stderr": 0.02006287424353913, "acc_norm": 0.5637254901960784, "acc_norm_stderr": 0.02006287424353913 }, "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": 0.710204081632653, "acc_stderr": 0.029043088683304328, "acc_norm": 0.710204081632653, "acc_norm_stderr": 0.029043088683304328 }, "harness|hendrycksTest-sociology|5": { "acc": 0.8059701492537313, "acc_stderr": 0.027962677604768924, "acc_norm": 0.8059701492537313, "acc_norm_stderr": 0.027962677604768924 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.77, "acc_stderr": 0.042295258468165065, "acc_norm": 0.77, "acc_norm_stderr": 0.042295258468165065 }, "harness|hendrycksTest-virology|5": { "acc": 0.4759036144578313, "acc_stderr": 0.038879718495972646, "acc_norm": 0.4759036144578313, "acc_norm_stderr": 0.038879718495972646 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.7076023391812866, "acc_stderr": 0.034886477134579215, "acc_norm": 0.7076023391812866, "acc_norm_stderr": 0.034886477134579215 }, "harness|truthfulqa:mc|0": { "mc1": 0.3157894736842105, "mc1_stderr": 0.016272287957916912, "mc2": 0.45354154186159823, "mc2_stderr": 0.015221463708711597 }, "harness|winogrande|5": { "acc": 0.7403314917127072, "acc_stderr": 0.012322700705552667 }, "harness|gsm8k|5": { "acc": 0.5670962850644428, "acc_stderr": 0.013647916362576054 } } ``` ## 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]

PeacefulData/HypoTranslate

--- license: apache-2.0 task_categories: - text-generation language: - en - zh - ja - fr - es - it - pt tags: - generative translation - large language model - LLaMA pretty_name: HypoTranslate size_categories: - 100K<n<1M --- This repo releases the HypoTranslate dataset in paper "GenTranslate: Large Language Models are Generative Multilingual Speech and Machine Translators". If you consider this work would be related or useful for your research, please kindly consider to cite the work below. Thank you. ```bib @article{hu2024gentranslate, title={GenTranslate: Large Language Models are Generative Multilingual Speech and Machine Translators}, author={Hu, Yuchen and Chen, Chen and Yang, Chao-Han Huck and Li, Ruizhe and Zhang, Dong and Chen, Zhehuai and Chng, Eng Siong}, journal={arXiv preprint arXiv:2402.06894}, year={2024} } ```

open-llm-leaderboard/details_perlthoughts__Chupacabra-8x7B-MoE

--- pretty_name: Evaluation run of perlthoughts/Chupacabra-8x7B-MoE dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [perlthoughts/Chupacabra-8x7B-MoE](https://huggingface.co/perlthoughts/Chupacabra-8x7B-MoE)\ \ 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_perlthoughts__Chupacabra-8x7B-MoE\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-12-16T21:20:16.522598](https://huggingface.co/datasets/open-llm-leaderboard/details_perlthoughts__Chupacabra-8x7B-MoE/blob/main/results_2023-12-16T21-20-16.522598.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\": 0.6415463145761969,\n\ \ \"acc_stderr\": 0.03233222952484684,\n \"acc_norm\": 0.6432118874966731,\n\ \ \"acc_norm_stderr\": 0.03298409149127022,\n \"mc1\": 0.47613219094247244,\n\ \ \"mc1_stderr\": 0.017483547156961578,\n \"mc2\": 0.6350369384683723,\n\ \ \"mc2_stderr\": 0.01508168993616602\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.6561433447098977,\n \"acc_stderr\": 0.01388064457015621,\n\ \ \"acc_norm\": 0.6877133105802048,\n \"acc_norm_stderr\": 0.013542598541688067\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6757618004381597,\n\ \ \"acc_stderr\": 0.004671328673217797,\n \"acc_norm\": 0.8610834495120494,\n\ \ \"acc_norm_stderr\": 0.003451525868724678\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ : {\n \"acc\": 0.29,\n \"acc_stderr\": 0.04560480215720684,\n \ \ \"acc_norm\": 0.29,\n \"acc_norm_stderr\": 0.04560480215720684\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\": 0.62,\n\ \ \"acc_stderr\": 0.048783173121456316,\n \"acc_norm\": 0.62,\n \ \ \"acc_norm_stderr\": 0.048783173121456316\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.6830188679245283,\n \"acc_stderr\": 0.02863723563980089,\n\ \ \"acc_norm\": 0.6830188679245283,\n \"acc_norm_stderr\": 0.02863723563980089\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.7361111111111112,\n\ \ \"acc_stderr\": 0.03685651095897532,\n \"acc_norm\": 0.7361111111111112,\n\ \ \"acc_norm_stderr\": 0.03685651095897532\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.45,\n \"acc_stderr\": 0.05,\n \"acc_norm\"\ : 0.45,\n \"acc_norm_stderr\": 0.05\n },\n \"harness|hendrycksTest-college_computer_science|5\"\ : {\n \"acc\": 0.56,\n \"acc_stderr\": 0.04988876515698589,\n \ \ \"acc_norm\": 0.56,\n \"acc_norm_stderr\": 0.04988876515698589\n \ \ },\n \"harness|hendrycksTest-college_mathematics|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-college_medicine|5\"\ : {\n \"acc\": 0.653179190751445,\n \"acc_stderr\": 0.036291466701596636,\n\ \ \"acc_norm\": 0.653179190751445,\n \"acc_norm_stderr\": 0.036291466701596636\n\ \ },\n \"harness|hendrycksTest-college_physics|5\": {\n \"acc\": 0.39215686274509803,\n\ \ \"acc_stderr\": 0.04858083574266345,\n \"acc_norm\": 0.39215686274509803,\n\ \ \"acc_norm_stderr\": 0.04858083574266345\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\": 0.6,\n\ \ \"acc_stderr\": 0.03202563076101735,\n \"acc_norm\": 0.6,\n \ \ \"acc_norm_stderr\": 0.03202563076101735\n },\n \"harness|hendrycksTest-econometrics|5\"\ : {\n \"acc\": 0.45614035087719296,\n \"acc_stderr\": 0.046854730419077895,\n\ \ \"acc_norm\": 0.45614035087719296,\n \"acc_norm_stderr\": 0.046854730419077895\n\ \ },\n \"harness|hendrycksTest-electrical_engineering|5\": {\n \"acc\"\ : 0.5586206896551724,\n \"acc_stderr\": 0.04137931034482757,\n \"\ acc_norm\": 0.5586206896551724,\n \"acc_norm_stderr\": 0.04137931034482757\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.41534391534391535,\n \"acc_stderr\": 0.025379524910778408,\n \"\ acc_norm\": 0.41534391534391535,\n \"acc_norm_stderr\": 0.025379524910778408\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\": 0.39,\n \"acc_stderr\": 0.04902071300001974,\n \ \ \"acc_norm\": 0.39,\n \"acc_norm_stderr\": 0.04902071300001974\n \ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.7612903225806451,\n\ \ \"acc_stderr\": 0.02425107126220884,\n \"acc_norm\": 0.7612903225806451,\n\ \ \"acc_norm_stderr\": 0.02425107126220884\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\ : {\n \"acc\": 0.49261083743842365,\n \"acc_stderr\": 0.035176035403610084,\n\ \ \"acc_norm\": 0.49261083743842365,\n \"acc_norm_stderr\": 0.035176035403610084\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.74,\n \"acc_stderr\": 0.044084400227680794,\n \"acc_norm\"\ : 0.74,\n \"acc_norm_stderr\": 0.044084400227680794\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.7757575757575758,\n \"acc_stderr\": 0.032568666616811015,\n\ \ \"acc_norm\": 0.7757575757575758,\n \"acc_norm_stderr\": 0.032568666616811015\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.7878787878787878,\n \"acc_stderr\": 0.029126522834586815,\n \"\ acc_norm\": 0.7878787878787878,\n \"acc_norm_stderr\": 0.029126522834586815\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.8652849740932642,\n \"acc_stderr\": 0.02463978909770944,\n\ \ \"acc_norm\": 0.8652849740932642,\n \"acc_norm_stderr\": 0.02463978909770944\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.6794871794871795,\n \"acc_stderr\": 0.023661296393964273,\n\ \ \"acc_norm\": 0.6794871794871795,\n \"acc_norm_stderr\": 0.023661296393964273\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.32592592592592595,\n \"acc_stderr\": 0.028578348365473082,\n \ \ \"acc_norm\": 0.32592592592592595,\n \"acc_norm_stderr\": 0.028578348365473082\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.7016806722689075,\n \"acc_stderr\": 0.02971914287634286,\n \ \ \"acc_norm\": 0.7016806722689075,\n \"acc_norm_stderr\": 0.02971914287634286\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.31788079470198677,\n \"acc_stderr\": 0.038020397601079024,\n \"\ acc_norm\": 0.31788079470198677,\n \"acc_norm_stderr\": 0.038020397601079024\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\"\ : 0.5509259259259259,\n \"acc_stderr\": 0.03392238405321617,\n \"\ acc_norm\": 0.5509259259259259,\n \"acc_norm_stderr\": 0.03392238405321617\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.8137254901960784,\n \"acc_stderr\": 0.027325470966716312,\n \"\ acc_norm\": 0.8137254901960784,\n \"acc_norm_stderr\": 0.027325470966716312\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.7848101265822784,\n \"acc_stderr\": 0.026750826994676177,\n \ \ \"acc_norm\": 0.7848101265822784,\n \"acc_norm_stderr\": 0.026750826994676177\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\": 0.7633587786259542,\n \"acc_stderr\": 0.03727673575596913,\n\ \ \"acc_norm\": 0.7633587786259542,\n \"acc_norm_stderr\": 0.03727673575596913\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.7768595041322314,\n \"acc_stderr\": 0.03800754475228733,\n \"\ acc_norm\": 0.7768595041322314,\n \"acc_norm_stderr\": 0.03800754475228733\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7777777777777778,\n\ \ \"acc_stderr\": 0.040191074725573483,\n \"acc_norm\": 0.7777777777777778,\n\ \ \"acc_norm_stderr\": 0.040191074725573483\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\": 0.45535714285714285,\n\ \ \"acc_stderr\": 0.047268355537191,\n \"acc_norm\": 0.45535714285714285,\n\ \ \"acc_norm_stderr\": 0.047268355537191\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.7961165048543689,\n \"acc_stderr\": 0.0398913985953177,\n\ \ \"acc_norm\": 0.7961165048543689,\n \"acc_norm_stderr\": 0.0398913985953177\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8675213675213675,\n\ \ \"acc_stderr\": 0.022209309073165616,\n \"acc_norm\": 0.8675213675213675,\n\ \ \"acc_norm_stderr\": 0.022209309073165616\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\": 0.822477650063857,\n\ \ \"acc_stderr\": 0.01366423099583483,\n \"acc_norm\": 0.822477650063857,\n\ \ \"acc_norm_stderr\": 0.01366423099583483\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.7312138728323699,\n \"acc_stderr\": 0.023868003262500104,\n\ \ \"acc_norm\": 0.7312138728323699,\n \"acc_norm_stderr\": 0.023868003262500104\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.4033519553072626,\n\ \ \"acc_stderr\": 0.01640712303219525,\n \"acc_norm\": 0.4033519553072626,\n\ \ \"acc_norm_stderr\": 0.01640712303219525\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.696078431372549,\n \"acc_stderr\": 0.026336613469046623,\n\ \ \"acc_norm\": 0.696078431372549,\n \"acc_norm_stderr\": 0.026336613469046623\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.7138263665594855,\n\ \ \"acc_stderr\": 0.02567025924218893,\n \"acc_norm\": 0.7138263665594855,\n\ \ \"acc_norm_stderr\": 0.02567025924218893\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.7376543209876543,\n \"acc_stderr\": 0.02447722285613511,\n\ \ \"acc_norm\": 0.7376543209876543,\n \"acc_norm_stderr\": 0.02447722285613511\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.4858156028368794,\n \"acc_stderr\": 0.02981549448368206,\n \ \ \"acc_norm\": 0.4858156028368794,\n \"acc_norm_stderr\": 0.02981549448368206\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.4589308996088657,\n\ \ \"acc_stderr\": 0.012727084826799802,\n \"acc_norm\": 0.4589308996088657,\n\ \ \"acc_norm_stderr\": 0.012727084826799802\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.6727941176470589,\n \"acc_stderr\": 0.028501452860396556,\n\ \ \"acc_norm\": 0.6727941176470589,\n \"acc_norm_stderr\": 0.028501452860396556\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.6584967320261438,\n \"acc_stderr\": 0.019184639328092487,\n \ \ \"acc_norm\": 0.6584967320261438,\n \"acc_norm_stderr\": 0.019184639328092487\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\": 0.7020408163265306,\n \"acc_stderr\": 0.029279567411065677,\n\ \ \"acc_norm\": 0.7020408163265306,\n \"acc_norm_stderr\": 0.029279567411065677\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8407960199004975,\n\ \ \"acc_stderr\": 0.02587064676616914,\n \"acc_norm\": 0.8407960199004975,\n\ \ \"acc_norm_stderr\": 0.02587064676616914\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.84,\n \"acc_stderr\": 0.03684529491774709,\n \ \ \"acc_norm\": 0.84,\n \"acc_norm_stderr\": 0.03684529491774709\n \ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5180722891566265,\n\ \ \"acc_stderr\": 0.03889951252827216,\n \"acc_norm\": 0.5180722891566265,\n\ \ \"acc_norm_stderr\": 0.03889951252827216\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.8187134502923976,\n \"acc_stderr\": 0.02954774168764004,\n\ \ \"acc_norm\": 0.8187134502923976,\n \"acc_norm_stderr\": 0.02954774168764004\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.47613219094247244,\n\ \ \"mc1_stderr\": 0.017483547156961578,\n \"mc2\": 0.6350369384683723,\n\ \ \"mc2_stderr\": 0.01508168993616602\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.8050513022888713,\n \"acc_stderr\": 0.011134099415938278\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.5966641394996209,\n \ \ \"acc_stderr\": 0.013512654781814706\n }\n}\n```" repo_url: https://huggingface.co/perlthoughts/Chupacabra-8x7B-MoE 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_16T21_20_16.522598 path: - '**/details_harness|arc:challenge|25_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2023-12-16T21-20-16.522598.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '**/details_harness|gsm8k|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_12_16T21_20_16.522598 path: - '**/details_harness|hellaswag|10_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-management|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-management|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-12-16T21-20-16.522598.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '**/details_harness|hendrycksTest-management|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '**/details_harness|hendrycksTest-virology|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-16T21-20-16.522598.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_12_16T21_20_16.522598 path: - '**/details_harness|truthfulqa:mc|0_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2023-12-16T21-20-16.522598.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_12_16T21_20_16.522598 path: - '**/details_harness|winogrande|5_2023-12-16T21-20-16.522598.parquet' - split: latest path: - '**/details_harness|winogrande|5_2023-12-16T21-20-16.522598.parquet' - config_name: results data_files: - split: 2023_12_16T21_20_16.522598 path: - results_2023-12-16T21-20-16.522598.parquet - split: latest path: - results_2023-12-16T21-20-16.522598.parquet --- # Dataset Card for Evaluation run of perlthoughts/Chupacabra-8x7B-MoE  Dataset automatically created during the evaluation run of model [perlthoughts/Chupacabra-8x7B-MoE](https://huggingface.co/perlthoughts/Chupacabra-8x7B-MoE) 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_perlthoughts__Chupacabra-8x7B-MoE", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-12-16T21:20:16.522598](https://huggingface.co/datasets/open-llm-leaderboard/details_perlthoughts__Chupacabra-8x7B-MoE/blob/main/results_2023-12-16T21-20-16.522598.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": 0.6415463145761969, "acc_stderr": 0.03233222952484684, "acc_norm": 0.6432118874966731, "acc_norm_stderr": 0.03298409149127022, "mc1": 0.47613219094247244, "mc1_stderr": 0.017483547156961578, "mc2": 0.6350369384683723, "mc2_stderr": 0.01508168993616602 }, "harness|arc:challenge|25": { "acc": 0.6561433447098977, "acc_stderr": 0.01388064457015621, "acc_norm": 0.6877133105802048, "acc_norm_stderr": 0.013542598541688067 }, "harness|hellaswag|10": { "acc": 0.6757618004381597, "acc_stderr": 0.004671328673217797, "acc_norm": 0.8610834495120494, "acc_norm_stderr": 0.003451525868724678 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.29, "acc_stderr": 0.04560480215720684, "acc_norm": 0.29, "acc_norm_stderr": 0.04560480215720684 }, "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": 0.62, "acc_stderr": 0.048783173121456316, "acc_norm": 0.62, "acc_norm_stderr": 0.048783173121456316 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.6830188679245283, "acc_stderr": 0.02863723563980089, "acc_norm": 0.6830188679245283, "acc_norm_stderr": 0.02863723563980089 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.7361111111111112, "acc_stderr": 0.03685651095897532, "acc_norm": 0.7361111111111112, "acc_norm_stderr": 0.03685651095897532 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.45, "acc_stderr": 0.05, "acc_norm": 0.45, "acc_norm_stderr": 0.05 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.56, "acc_stderr": 0.04988876515698589, "acc_norm": 0.56, "acc_norm_stderr": 0.04988876515698589 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.32, "acc_stderr": 0.046882617226215034, "acc_norm": 0.32, "acc_norm_stderr": 0.046882617226215034 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.653179190751445, "acc_stderr": 0.036291466701596636, "acc_norm": 0.653179190751445, "acc_norm_stderr": 0.036291466701596636 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.39215686274509803, "acc_stderr": 0.04858083574266345, "acc_norm": 0.39215686274509803, "acc_norm_stderr": 0.04858083574266345 }, "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": 0.6, "acc_stderr": 0.03202563076101735, "acc_norm": 0.6, "acc_norm_stderr": 0.03202563076101735 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.45614035087719296, "acc_stderr": 0.046854730419077895, "acc_norm": 0.45614035087719296, "acc_norm_stderr": 0.046854730419077895 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.5586206896551724, "acc_stderr": 0.04137931034482757, "acc_norm": 0.5586206896551724, "acc_norm_stderr": 0.04137931034482757 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.41534391534391535, "acc_stderr": 0.025379524910778408, "acc_norm": 0.41534391534391535, "acc_norm_stderr": 0.025379524910778408 }, "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": 0.39, "acc_stderr": 0.04902071300001974, "acc_norm": 0.39, "acc_norm_stderr": 0.04902071300001974 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.7612903225806451, "acc_stderr": 0.02425107126220884, "acc_norm": 0.7612903225806451, "acc_norm_stderr": 0.02425107126220884 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.49261083743842365, "acc_stderr": 0.035176035403610084, "acc_norm": 0.49261083743842365, "acc_norm_stderr": 0.035176035403610084 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.74, "acc_stderr": 0.044084400227680794, "acc_norm": 0.74, "acc_norm_stderr": 0.044084400227680794 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.7757575757575758, "acc_stderr": 0.032568666616811015, "acc_norm": 0.7757575757575758, "acc_norm_stderr": 0.032568666616811015 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.7878787878787878, "acc_stderr": 0.029126522834586815, "acc_norm": 0.7878787878787878, "acc_norm_stderr": 0.029126522834586815 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.8652849740932642, "acc_stderr": 0.02463978909770944, "acc_norm": 0.8652849740932642, "acc_norm_stderr": 0.02463978909770944 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.6794871794871795, "acc_stderr": 0.023661296393964273, "acc_norm": 0.6794871794871795, "acc_norm_stderr": 0.023661296393964273 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.32592592592592595, "acc_stderr": 0.028578348365473082, "acc_norm": 0.32592592592592595, "acc_norm_stderr": 0.028578348365473082 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.7016806722689075, "acc_stderr": 0.02971914287634286, "acc_norm": 0.7016806722689075, "acc_norm_stderr": 0.02971914287634286 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.31788079470198677, "acc_stderr": 0.038020397601079024, "acc_norm": 0.31788079470198677, "acc_norm_stderr": 0.038020397601079024 }, "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": 0.5509259259259259, "acc_stderr": 0.03392238405321617, "acc_norm": 0.5509259259259259, "acc_norm_stderr": 0.03392238405321617 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.8137254901960784, "acc_stderr": 0.027325470966716312, "acc_norm": 0.8137254901960784, "acc_norm_stderr": 0.027325470966716312 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.7848101265822784, "acc_stderr": 0.026750826994676177, "acc_norm": 0.7848101265822784, "acc_norm_stderr": 0.026750826994676177 }, "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": 0.7633587786259542, "acc_stderr": 0.03727673575596913, "acc_norm": 0.7633587786259542, "acc_norm_stderr": 0.03727673575596913 }, "harness|hendrycksTest-international_law|5": { "acc": 0.7768595041322314, "acc_stderr": 0.03800754475228733, "acc_norm": 0.7768595041322314, "acc_norm_stderr": 0.03800754475228733 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.7777777777777778, "acc_stderr": 0.040191074725573483, "acc_norm": 0.7777777777777778, "acc_norm_stderr": 0.040191074725573483 }, "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": 0.45535714285714285, "acc_stderr": 0.047268355537191, "acc_norm": 0.45535714285714285, "acc_norm_stderr": 0.047268355537191 }, "harness|hendrycksTest-management|5": { "acc": 0.7961165048543689, "acc_stderr": 0.0398913985953177, "acc_norm": 0.7961165048543689, "acc_norm_stderr": 0.0398913985953177 }, "harness|hendrycksTest-marketing|5": { "acc": 0.8675213675213675, "acc_stderr": 0.022209309073165616, "acc_norm": 0.8675213675213675, "acc_norm_stderr": 0.022209309073165616 }, "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": 0.822477650063857, "acc_stderr": 0.01366423099583483, "acc_norm": 0.822477650063857, "acc_norm_stderr": 0.01366423099583483 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.7312138728323699, "acc_stderr": 0.023868003262500104, "acc_norm": 0.7312138728323699, "acc_norm_stderr": 0.023868003262500104 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.4033519553072626, "acc_stderr": 0.01640712303219525, "acc_norm": 0.4033519553072626, "acc_norm_stderr": 0.01640712303219525 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.696078431372549, "acc_stderr": 0.026336613469046623, "acc_norm": 0.696078431372549, "acc_norm_stderr": 0.026336613469046623 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.7138263665594855, "acc_stderr": 0.02567025924218893, "acc_norm": 0.7138263665594855, "acc_norm_stderr": 0.02567025924218893 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.7376543209876543, "acc_stderr": 0.02447722285613511, "acc_norm": 0.7376543209876543, "acc_norm_stderr": 0.02447722285613511 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.4858156028368794, "acc_stderr": 0.02981549448368206, "acc_norm": 0.4858156028368794, "acc_norm_stderr": 0.02981549448368206 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.4589308996088657, "acc_stderr": 0.012727084826799802, "acc_norm": 0.4589308996088657, "acc_norm_stderr": 0.012727084826799802 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.6727941176470589, "acc_stderr": 0.028501452860396556, "acc_norm": 0.6727941176470589, "acc_norm_stderr": 0.028501452860396556 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.6584967320261438, "acc_stderr": 0.019184639328092487, "acc_norm": 0.6584967320261438, "acc_norm_stderr": 0.019184639328092487 }, "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": 0.7020408163265306, "acc_stderr": 0.029279567411065677, "acc_norm": 0.7020408163265306, "acc_norm_stderr": 0.029279567411065677 }, "harness|hendrycksTest-sociology|5": { "acc": 0.8407960199004975, "acc_stderr": 0.02587064676616914, "acc_norm": 0.8407960199004975, "acc_norm_stderr": 0.02587064676616914 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.84, "acc_stderr": 0.03684529491774709, "acc_norm": 0.84, "acc_norm_stderr": 0.03684529491774709 }, "harness|hendrycksTest-virology|5": { "acc": 0.5180722891566265, "acc_stderr": 0.03889951252827216, "acc_norm": 0.5180722891566265, "acc_norm_stderr": 0.03889951252827216 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.8187134502923976, "acc_stderr": 0.02954774168764004, "acc_norm": 0.8187134502923976, "acc_norm_stderr": 0.02954774168764004 }, "harness|truthfulqa:mc|0": { "mc1": 0.47613219094247244, "mc1_stderr": 0.017483547156961578, "mc2": 0.6350369384683723, "mc2_stderr": 0.01508168993616602 }, "harness|winogrande|5": { "acc": 0.8050513022888713, "acc_stderr": 0.011134099415938278 }, "harness|gsm8k|5": { "acc": 0.5966641394996209, "acc_stderr": 0.013512654781814706 } } ``` ## 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]

zolak/twitter_dataset_50_1713135229

--- 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: 468988 num_examples: 1125 download_size: 245051 dataset_size: 468988 configs: - config_name: default data_files: - split: train path: data/train-* ---

lilacai/lilac-OpenHermes-2.5

--- tags: - Lilac --- # lilac/OpenHermes-2.5 This dataset is a [Lilac](http://lilacml.com) processed dataset. Original dataset: [https://huggingface.co/datasets/teknium/OpenHermes-2.5](https://huggingface.co/datasets/teknium/OpenHermes-2.5) To download the dataset to a local directory: ```bash lilac download lilacai/lilac-OpenHermes-2.5 ``` or from python with: ```py ll.download("lilacai/lilac-OpenHermes-2.5") ```

open-llm-leaderboard/details_Aspik101__llama-30b-2048-instruct-PL-lora_unload

--- pretty_name: Evaluation run of Aspik101/llama-30b-2048-instruct-PL-lora_unload dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [Aspik101/llama-30b-2048-instruct-PL-lora_unload](https://huggingface.co/Aspik101/llama-30b-2048-instruct-PL-lora_unload)\ \ 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_Aspik101__llama-30b-2048-instruct-PL-lora_unload\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-09-23T16:55:26.750337](https://huggingface.co/datasets/open-llm-leaderboard/details_Aspik101__llama-30b-2048-instruct-PL-lora_unload/blob/main/results_2023-09-23T16-55-26.750337.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\": 0.006396812080536913,\n\ \ \"em_stderr\": 0.0008164468837432337,\n \"f1\": 0.09082529362416124,\n\ \ \"f1_stderr\": 0.00181131297042163,\n \"acc\": 0.48843566764183,\n\ \ \"acc_stderr\": 0.010921337573474368\n },\n \"harness|drop|3\": {\n\ \ \"em\": 0.006396812080536913,\n \"em_stderr\": 0.0008164468837432337,\n\ \ \"f1\": 0.09082529362416124,\n \"f1_stderr\": 0.00181131297042163\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.17892342683851403,\n \ \ \"acc_stderr\": 0.010557661392901289\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.797947908445146,\n \"acc_stderr\": 0.011285013754047448\n\ \ }\n}\n```" repo_url: https://huggingface.co/Aspik101/llama-30b-2048-instruct-PL-lora_unload 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_09T15_59_52.848491 path: - '**/details_harness|arc:challenge|25_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2023-08-09T15:59:52.848491.parquet' - config_name: harness_drop_3 data_files: - split: 2023_09_23T16_55_26.750337 path: - '**/details_harness|drop|3_2023-09-23T16-55-26.750337.parquet' - split: latest path: - '**/details_harness|drop|3_2023-09-23T16-55-26.750337.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_09_23T16_55_26.750337 path: - '**/details_harness|gsm8k|5_2023-09-23T16-55-26.750337.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2023-09-23T16-55-26.750337.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_08_09T15_59_52.848491 path: - '**/details_harness|hellaswag|10_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-management|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-management|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-08-09T15:59:52.848491.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '**/details_harness|hendrycksTest-international_law|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '**/details_harness|hendrycksTest-management|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '**/details_harness|hendrycksTest-marketing|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '**/details_harness|hendrycksTest-sociology|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '**/details_harness|hendrycksTest-virology|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_08_09T15_59_52.848491 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2023-08-09T15:59:52.848491.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_08_09T15_59_52.848491 path: - '**/details_harness|truthfulqa:mc|0_2023-08-09T15:59:52.848491.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2023-08-09T15:59:52.848491.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_09_23T16_55_26.750337 path: - '**/details_harness|winogrande|5_2023-09-23T16-55-26.750337.parquet' - split: latest path: - '**/details_harness|winogrande|5_2023-09-23T16-55-26.750337.parquet' - config_name: results data_files: - split: 2023_08_09T15_59_52.848491 path: - results_2023-08-09T15:59:52.848491.parquet - split: 2023_09_23T16_55_26.750337 path: - results_2023-09-23T16-55-26.750337.parquet - split: latest path: - results_2023-09-23T16-55-26.750337.parquet --- # Dataset Card for Evaluation run of Aspik101/llama-30b-2048-instruct-PL-lora_unload ## Dataset Description - **Homepage:** - **Repository:** https://huggingface.co/Aspik101/llama-30b-2048-instruct-PL-lora_unload - **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 [Aspik101/llama-30b-2048-instruct-PL-lora_unload](https://huggingface.co/Aspik101/llama-30b-2048-instruct-PL-lora_unload) 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_Aspik101__llama-30b-2048-instruct-PL-lora_unload", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-09-23T16:55:26.750337](https://huggingface.co/datasets/open-llm-leaderboard/details_Aspik101__llama-30b-2048-instruct-PL-lora_unload/blob/main/results_2023-09-23T16-55-26.750337.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": 0.006396812080536913, "em_stderr": 0.0008164468837432337, "f1": 0.09082529362416124, "f1_stderr": 0.00181131297042163, "acc": 0.48843566764183, "acc_stderr": 0.010921337573474368 }, "harness|drop|3": { "em": 0.006396812080536913, "em_stderr": 0.0008164468837432337, "f1": 0.09082529362416124, "f1_stderr": 0.00181131297042163 }, "harness|gsm8k|5": { "acc": 0.17892342683851403, "acc_stderr": 0.010557661392901289 }, "harness|winogrande|5": { "acc": 0.797947908445146, "acc_stderr": 0.011285013754047448 } } ``` ### 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]

smanna/indian_constitution_data

--- dataset_info: features: - name: input dtype: string - name: output dtype: string splits: - name: train num_bytes: 1765635 num_examples: 6510 download_size: 697957 dataset_size: 1765635 configs: - config_name: default data_files: - split: train path: data/train-* task_categories: - table-question-answering - question-answering - text-generation - fill-mask - feature-extraction language: - en tags: - legal pretty_name: complex_const ---

aviroes/above_70yo_elderly_people_other_dataset

--- configs: - config_name: default data_files: - split: other path: data/other-* dataset_info: features: - name: client_id dtype: string - name: path dtype: string - name: audio dtype: audio: sampling_rate: 48000 - name: sentence dtype: string - name: up_votes dtype: int64 - name: down_votes dtype: int64 - name: age dtype: string - name: gender dtype: string - name: accent dtype: string - name: locale dtype: string - name: segment dtype: string splits: - name: other num_bytes: 116941.34140285537 num_examples: 2 download_size: 124504 dataset_size: 116941.34140285537 --- # Dataset Card for "above_70yo_elderly_people_other_dataset" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

ibranze/araproje_hellaswag_en_conf_gpt_bestscore_reversed

--- dataset_info: features: - name: ind dtype: int32 - name: activity_label dtype: string - name: ctx_a dtype: string - name: ctx_b dtype: string - name: ctx dtype: string - name: endings sequence: string - name: source_id dtype: string - name: split dtype: string - name: split_type dtype: string - name: label dtype: string splits: - name: validation num_bytes: 149738.0 num_examples: 250 download_size: 81196 dataset_size: 149738.0 configs: - config_name: default data_files: - split: validation path: data/validation-* --- # Dataset Card for "araproje_hellaswag_en_conf_gpt_bestscore_reversed" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

DeCoders/Doctor_mini

--- license: llama2 ---

shibing624/alpaca-zh

--- dataset_info: features: - name: instruction dtype: string - name: input dtype: string - name: output dtype: string splits: - name: train num_bytes: 32150579 num_examples: 48818 download_size: 35100559 dataset_size: 32150579 license: cc-by-4.0 language: - zh pretty_name: Instruction Tuning with GPT-4 size_categories: - 10K<n<100K task_categories: - text-generation tags: - gpt - alpaca - fine-tune - instruct-tune - instruction --- # Dataset Description - **Project Page:** https://instruction-tuning-with-gpt-4.github.io - **Repo:** https://github.com/Instruction-Tuning-with-GPT-4/GPT-4-LLM - **Paper:** https://arxiv.org/abs/2304.03277 # Dataset Card for "alpaca-zh" 本数据集是参考Alpaca方法基于GPT4得到的self-instruct数据，约5万条。 Dataset from https://github.com/Instruction-Tuning-with-GPT-4/GPT-4-LLM It is the chinese dataset from https://github.com/Instruction-Tuning-with-GPT-4/GPT-4-LLM/blob/main/data/alpaca_gpt4_data_zh.json # Usage and License Notices The data is intended and licensed for research use only. The dataset is CC BY NC 4.0 (allowing only non-commercial use) and models trained using the dataset should not be used outside of research purposes. train model with alpaca-zh dataset: https://github.com/shibing624/textgen # English Dataset [Found here](https://huggingface.co/datasets/c-s-ale/alpaca-gpt4-data) # Citation ``` @article{peng2023gpt4llm, title={Instruction Tuning with GPT-4}, author={Baolin Peng, Chunyuan Li, Pengcheng He, Michel Galley, Jianfeng Gao}, journal={arXiv preprint arXiv:2304.03277}, year={2023} } ```

Rahulrayudu/Farm_QA_Dataset_inst

--- dataset_info: features: - name: Crop dtype: string - name: Label dtype: string - name: Question dtype: string - name: Answer dtype: string - name: instruction dtype: string splits: - name: train num_bytes: 629733 num_examples: 839 download_size: 254469 dataset_size: 629733 configs: - config_name: default data_files: - split: train path: data/train-* ---

Thefoodprocessor/recipes

--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: recipe dtype: string splits: - name: train num_bytes: 105767040 num_examples: 74465 download_size: 53711472 dataset_size: 105767040 --- # Dataset Card for "recipes" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

chungimungi/pubmed

--- task_categories: - text-classification - table-question-answering - token-classification - question-answering - zero-shot-classification - feature-extraction - text-generation - text2text-generation - sentence-similarity language: - en tags: - medical pretty_name: 'y' --- # PubMed dataset in raw XML. ## Dataset Description - **Homepage:** - **Repository:** - **Paper:** - **Leaderboard:** - **Point of Contact:** ### Dataset Summary Once a year, NLM produces a baseline set of PubMed citation records in XML format for download; the baseline file is a complete snapshot of PubMed data. When using this data in a local database, the best practice is to overwrite your local data each year with the baseline data. ## Dataset Structure XML ### Source Data https://ftp.ncbi.nlm.nih.gov/pubmed/baseline/

CyberHarem/usami_sumireko_touhou

--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of usami_sumireko/宇佐見菫子 (Touhou) This is the dataset of usami_sumireko/宇佐見菫子 (Touhou), containing 500 images and their tags. The core tags of this character are `brown_hair, glasses, brown_eyes, red-framed_eyewear, hat, twintails, bow, low_twintails, short_hair, hat_bow, semi-rimless_eyewear, under-rim_eyewear, black_headwear, bangs`, 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 | 563.85 MiB | [Download](https://huggingface.co/datasets/CyberHarem/usami_sumireko_touhou/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | | 800 | 500 | 360.44 MiB | [Download](https://huggingface.co/datasets/CyberHarem/usami_sumireko_touhou/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. | | stage3-p480-800 | 1103 | 720.48 MiB | [Download](https://huggingface.co/datasets/CyberHarem/usami_sumireko_touhou/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | | 1200 | 500 | 512.94 MiB | [Download](https://huggingface.co/datasets/CyberHarem/usami_sumireko_touhou/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. | | stage3-p480-1200 | 1103 | 955.34 MiB | [Download](https://huggingface.co/datasets/CyberHarem/usami_sumireko_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/usami_sumireko_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 | 14 | ![](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, nipples, solo, blush, looking_at_viewer, large_breasts, sweat, navel, open_mouth, smile, no_bra, open_shirt, plaid, simple_background, skirt, underwear | | 1 | 12 | ![](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, cape, clothes_writing, plaid, skirt, smile, solo, shirt, long_sleeves, open_mouth, school_uniform, looking_at_viewer, gloves | | 2 | 16 | ![](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, long_sleeves, plaid_skirt, plaid_vest, solo, purple_skirt, smile, looking_at_viewer, purple_vest, shoes, white_socks, full_body, kneehighs, cloak, runes, white_gloves, white_shirt, black_footwear, clothes_writing, black_cape, closed_mouth, open_mouth, white_bow, card | ### Table Version | # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | nipples | solo | blush | looking_at_viewer | large_breasts | sweat | navel | open_mouth | smile | no_bra | open_shirt | plaid | simple_background | skirt | underwear | cape | clothes_writing | shirt | long_sleeves | school_uniform | gloves | plaid_skirt | plaid_vest | purple_skirt | purple_vest | shoes | white_socks | full_body | kneehighs | cloak | runes | white_gloves | white_shirt | black_footwear | black_cape | closed_mouth | white_bow | card | |----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:----------|:-------|:--------|:--------------------|:----------------|:--------|:--------|:-------------|:--------|:---------|:-------------|:--------|:--------------------|:--------|:------------|:-------|:------------------|:--------|:---------------|:-----------------|:---------|:--------------|:-------------|:---------------|:--------------|:--------|:--------------|:------------|:------------|:--------|:--------|:---------------|:--------------|:-----------------|:-------------|:---------------|:------------|:-------| | 0 | 14 | ![](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 | | | | | | | | | | | | | | | | | | | | | | | | | 1 | 12 | ![](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 | | | | | | | | | | | | | | | | | | | 2 | 16 | ![](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 | X | X | X | X |

CyberHarem/webley_girlsfrontline

--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of webley/ウェブリー/韦伯利 (Girls' Frontline) This is the dataset of webley/ウェブリー/韦伯利 (Girls' Frontline), containing 32 images and their tags. The core tags of this character are `blue_eyes, bangs, brown_hair, ribbon, short_hair, bow, hair_between_eyes, hair_bow, 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 | 32 | 46.72 MiB | [Download](https://huggingface.co/datasets/CyberHarem/webley_girlsfrontline/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | | 800 | 32 | 24.04 MiB | [Download](https://huggingface.co/datasets/CyberHarem/webley_girlsfrontline/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. | | stage3-p480-800 | 79 | 51.34 MiB | [Download](https://huggingface.co/datasets/CyberHarem/webley_girlsfrontline/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | | 1200 | 32 | 39.60 MiB | [Download](https://huggingface.co/datasets/CyberHarem/webley_girlsfrontline/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. | | stage3-p480-1200 | 79 | 75.11 MiB | [Download](https://huggingface.co/datasets/CyberHarem/webley_girlsfrontline/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/webley_girlsfrontline', 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 | 32 | ![](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, solo, long_sleeves, blush, red_cape, epaulettes, frills, handgun, closed_mouth, holding_gun, revolver, simple_background, white_dress, white_background, white_pantyhose | ### Table Version | # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | looking_at_viewer | solo | long_sleeves | blush | red_cape | epaulettes | frills | handgun | closed_mouth | holding_gun | revolver | simple_background | white_dress | white_background | white_pantyhose | |----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:--------------------|:-------|:---------------|:--------|:-----------|:-------------|:---------|:----------|:---------------|:--------------|:-----------|:--------------------|:--------------|:-------------------|:------------------| | 0 | 32 | ![](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 |

CyberHarem/mayuzumi_fuyuko_theidolmstershinycolors

--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of mayuzumi_fuyuko/黛冬優子 (THE iDOLM@STER: SHINY COLORS) This is the dataset of mayuzumi_fuyuko/黛冬優子 (THE iDOLM@STER: SHINY COLORS), containing 500 images and their tags. The core tags of this character are `black_hair, long_hair, bangs, brown_eyes, blunt_bangs, breasts, two_side_up, ribbon, medium_breasts, bow`, 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 | 919.13 MiB | [Download](https://huggingface.co/datasets/CyberHarem/mayuzumi_fuyuko_theidolmstershinycolors/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | | 800 | 500 | 439.43 MiB | [Download](https://huggingface.co/datasets/CyberHarem/mayuzumi_fuyuko_theidolmstershinycolors/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. | | stage3-p480-800 | 1302 | 1.00 GiB | [Download](https://huggingface.co/datasets/CyberHarem/mayuzumi_fuyuko_theidolmstershinycolors/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | | 1200 | 500 | 777.09 MiB | [Download](https://huggingface.co/datasets/CyberHarem/mayuzumi_fuyuko_theidolmstershinycolors/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. | | stage3-p480-1200 | 1302 | 1.59 GiB | [Download](https://huggingface.co/datasets/CyberHarem/mayuzumi_fuyuko_theidolmstershinycolors/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/mayuzumi_fuyuko_theidolmstershinycolors', 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 | 23 | ![](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, cat_ears, looking_at_viewer, solo, cat_tail, animal_ear_fluff, blush, open_mouth, frills, red_bow, simple_background, hair_ribbon, hairclip, white_background, fang, black_choker, bowtie, cat_girl, dress, juliet_sleeves, white_shirt, claw_pose, vertical-striped_skirt | | 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, black_ribbon, black_skirt, black_thighhighs, blush, long_sleeves, looking_at_viewer, pink_shirt, simple_background, solo, white_background, :d, neck_ribbon, open_mouth, zettai_ryouiki, frills, jirai_kei | | 2 | 8 | ![](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, black_ribbon, black_skirt, blush, jirai_kei, long_sleeves, looking_at_viewer, pink_shirt, solo, neck_ribbon, simple_background, white_background, closed_mouth, frills, crossed_arms, upper_body | | 3 | 13 | ![](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, bare_shoulders, long_sleeves, looking_at_viewer, plaid_dress, solo, black_choker, collarbone, blush, simple_background, white_background, detached_sleeves, frilled_dress, smile, upper_body, white_dress, grey_dress | | 4 | 20 | ![](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, black_headwear, black_shirt, long_sleeves, looking_at_viewer, solo, heart_earrings, cleavage, blush, polka_dot_legwear, zettai_ryouiki, beret, leopard_print, fake_horns, collarbone, miniskirt, simple_background, sitting, white_background, brown_skirt, open_mouth, frilled_choker, :d, pink_thighhighs, print_skirt, shiny_hair, very_long_hair | | 5 | 5 | ![](samples/5/clu5-sample0.png) | ![](samples/5/clu5-sample1.png) | ![](samples/5/clu5-sample2.png) | ![](samples/5/clu5-sample3.png) | ![](samples/5/clu5-sample4.png) | 1girl, blush, long_sleeves, looking_at_viewer, smile, solo, cherry_blossoms, floating_hair, outdoors, upper_body, belt, hair_ribbon, open_mouth, pink_jacket, skirt, depth_of_field, falling_petals, frills, neck_ribbon, white_shirt | | 6 | 11 | ![](samples/6/clu6-sample0.png) | ![](samples/6/clu6-sample1.png) | ![](samples/6/clu6-sample2.png) | ![](samples/6/clu6-sample3.png) | ![](samples/6/clu6-sample4.png) | 1girl, blush, looking_at_viewer, solo, earrings, nail_polish, hair_bow, long_sleeves, smile, chocolate, collarbone, holding, one_eye_closed, open_mouth, shirt, upper_body, blue_nails | | 7 | 8 | ![](samples/7/clu7-sample0.png) | ![](samples/7/clu7-sample1.png) | ![](samples/7/clu7-sample2.png) | ![](samples/7/clu7-sample3.png) | ![](samples/7/clu7-sample4.png) | 1girl, looking_at_viewer, school_uniform, solo, plaid_skirt, pleated_skirt, white_shirt, cardigan_around_waist, double_bun, kogal, loose_bowtie, pink_skirt, simple_background, wavy_hair, white_background, blush, bracelet, smile, open_collar, collarbone, open_mouth, school_bag, sitting, sweater_around_waist, wrist_scrunchie | | 8 | 7 | ![](samples/8/clu8-sample0.png) | ![](samples/8/clu8-sample1.png) | ![](samples/8/clu8-sample2.png) | ![](samples/8/clu8-sample3.png) | ![](samples/8/clu8-sample4.png) | 1girl, blush, looking_at_viewer, solo, crop_top, detached_sleeves, green_hair, midriff, miniskirt, navel, smile, two-tone_hair, cleavage, nail_polish, black_thighhighs, green_nails, long_sleeves, pleated_skirt, black_shirt, cowboy_shot, layered_skirt, open_mouth, stomach | | 9 | 10 | ![](samples/9/clu9-sample0.png) | ![](samples/9/clu9-sample1.png) | ![](samples/9/clu9-sample2.png) | ![](samples/9/clu9-sample3.png) | ![](samples/9/clu9-sample4.png) | 1girl, looking_at_viewer, navel, see-through, solo, earrings, hair_flower, midriff, black_gloves, bare_shoulders, black_rose, blush, smile, black_bikini, bracelet, cleavage, collarbone, crop_top, lying, stomach | | 10 | 24 | ![](samples/10/clu10-sample0.png) | ![](samples/10/clu10-sample1.png) | ![](samples/10/clu10-sample2.png) | ![](samples/10/clu10-sample3.png) | ![](samples/10/clu10-sample4.png) | 1girl, solo, cleavage, looking_at_viewer, blush, red_bikini, heart_print, collarbone, frilled_bikini, smile, navel, hair_ribbon, off-shoulder_bikini, open_mouth, bikini_skirt, outdoors, blue_sky, day, print_bikini, hair_bow, red_bow, white_background, bare_shoulders, black_choker, bracelet, ocean | | 11 | 6 | ![](samples/11/clu11-sample0.png) | ![](samples/11/clu11-sample1.png) | ![](samples/11/clu11-sample2.png) | ![](samples/11/clu11-sample3.png) | ![](samples/11/clu11-sample4.png) | 1girl, choker, looking_at_viewer, sailor_collar, solo, cat_ear_headphones, heart, shirt, short_sleeves, bag, blush, earrings, open_mouth, purple_skirt, star_(symbol), :d, bracelet, frilled_skirt, hairclip, pleated_skirt, scrunchie, white_thighhighs | | 12 | 5 | ![](samples/12/clu12-sample0.png) | ![](samples/12/clu12-sample1.png) | ![](samples/12/clu12-sample2.png) | ![](samples/12/clu12-sample3.png) | ![](samples/12/clu12-sample4.png) | 1girl, looking_at_viewer, solo, sun_hat, white_headwear, :d, blush, open_mouth, white_dress, blue_ribbon, blue_sky, hand_on_headwear, outdoors, sleeveless_dress, arm_up, day, floral_print, hat_ribbon, jewelry, white_belt | | 13 | 7 | ![](samples/13/clu13-sample0.png) | ![](samples/13/clu13-sample1.png) | ![](samples/13/clu13-sample2.png) | ![](samples/13/clu13-sample3.png) | ![](samples/13/clu13-sample4.png) | 1girl, bare_shoulders, solo, blush, casual_one-piece_swimsuit, heart_hair_ornament, looking_at_viewer, twin_braids, choker, collarbone, frilled_swimsuit, hairclip, cleavage, closed_mouth, heart_print, outdoors, twintails, bare_legs, barefoot, beach, blue_dress, blue_one-piece_swimsuit, blue_sky, cloud, day, hair_over_shoulder, heart_cutout, off_shoulder, pink_bow, smile, wariza | | 14 | 5 | ![](samples/14/clu14-sample0.png) | ![](samples/14/clu14-sample1.png) | ![](samples/14/clu14-sample2.png) | ![](samples/14/clu14-sample3.png) | ![](samples/14/clu14-sample4.png) | 1girl, blush, cleavage, collarbone, looking_at_viewer, solo, bare_shoulders, closed_mouth, navel, underwear_only, lace-trimmed_bra, on_bed, ass_visible_through_thighs, bed_sheet, blurry, curtains, indoors, lace-trimmed_panties, pillow, pink_panties, red_bra, red_panties, sitting, smile, stomach | ### Table Version | # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | cat_ears | looking_at_viewer | solo | cat_tail | animal_ear_fluff | blush | open_mouth | frills | red_bow | simple_background | hair_ribbon | hairclip | white_background | fang | black_choker | bowtie | cat_girl | dress | juliet_sleeves | white_shirt | claw_pose | vertical-striped_skirt | black_ribbon | black_skirt | black_thighhighs | long_sleeves | pink_shirt | :d | neck_ribbon | zettai_ryouiki | jirai_kei | closed_mouth | crossed_arms | upper_body | bare_shoulders | plaid_dress | collarbone | detached_sleeves | frilled_dress | smile | white_dress | grey_dress | black_headwear | black_shirt | heart_earrings | cleavage | polka_dot_legwear | beret | leopard_print | fake_horns | miniskirt | sitting | brown_skirt | frilled_choker | pink_thighhighs | print_skirt | shiny_hair | very_long_hair | cherry_blossoms | floating_hair | outdoors | belt | pink_jacket | skirt | depth_of_field | falling_petals | earrings | nail_polish | hair_bow | chocolate | holding | one_eye_closed | shirt | blue_nails | school_uniform | plaid_skirt | pleated_skirt | cardigan_around_waist | double_bun | kogal | loose_bowtie | pink_skirt | wavy_hair | bracelet | open_collar | school_bag | sweater_around_waist | wrist_scrunchie | crop_top | green_hair | midriff | navel | two-tone_hair | green_nails | cowboy_shot | layered_skirt | stomach | see-through | hair_flower | black_gloves | black_rose | black_bikini | lying | red_bikini | heart_print | frilled_bikini | off-shoulder_bikini | bikini_skirt | blue_sky | day | print_bikini | ocean | choker | sailor_collar | cat_ear_headphones | heart | short_sleeves | bag | purple_skirt | star_(symbol) | frilled_skirt | scrunchie | white_thighhighs | sun_hat | white_headwear | blue_ribbon | hand_on_headwear | sleeveless_dress | arm_up | floral_print | hat_ribbon | jewelry | white_belt | casual_one-piece_swimsuit | heart_hair_ornament | twin_braids | frilled_swimsuit | twintails | bare_legs | barefoot | beach | blue_dress | blue_one-piece_swimsuit | cloud | hair_over_shoulder | heart_cutout | off_shoulder | pink_bow | wariza | underwear_only | lace-trimmed_bra | on_bed | ass_visible_through_thighs | bed_sheet | blurry | curtains | indoors | lace-trimmed_panties | pillow | pink_panties | red_bra | red_panties | |----:|----------:|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:--------|:-----------|:--------------------|:-------|:-----------|:-------------------|:--------|:-------------|:---------|:----------|:--------------------|:--------------|:-----------|:-------------------|:-------|:---------------|:---------|:-----------|:--------|:-----------------|:--------------|:------------|:-------------------------|:---------------|:--------------|:-------------------|:---------------|:-------------|:-----|:--------------|:-----------------|:------------|:---------------|:---------------|:-------------|:-----------------|:--------------|:-------------|:-------------------|:----------------|:--------|:--------------|:-------------|:-----------------|:--------------|:-----------------|:-----------|:--------------------|:--------|:----------------|:-------------|:------------|:----------|:--------------|:-----------------|:------------------|:--------------|:-------------|:-----------------|:------------------|:----------------|:-----------|:-------|:--------------|:--------|:-----------------|:-----------------|:-----------|:--------------|:-----------|:------------|:----------|:-----------------|:--------|:-------------|:-----------------|:--------------|:----------------|:------------------------|:-------------|:--------|:---------------|:-------------|:------------|:-----------|:--------------|:-------------|:-----------------------|:------------------|:-----------|:-------------|:----------|:--------|:----------------|:--------------|:--------------|:----------------|:----------|:--------------|:--------------|:---------------|:-------------|:---------------|:--------|:-------------|:--------------|:-----------------|:----------------------|:---------------|:-----------|:------|:---------------|:--------|:---------|:----------------|:---------------------|:--------|:----------------|:------|:---------------|:----------------|:----------------|:------------|:-------------------|:----------|:-----------------|:--------------|:-------------------|:-------------------|:---------|:---------------|:-------------|:----------|:-------------|:----------------------------|:----------------------|:--------------|:-------------------|:------------|:------------|:-----------|:--------|:-------------|:--------------------------|:--------|:---------------------|:---------------|:---------------|:-----------|:---------|:-----------------|:-------------------|:---------|:-----------------------------|:------------|:---------|:-----------|:----------|:-----------------------|:---------|:---------------|:----------|:--------------| | 0 | 23 | ![](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 | 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 | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 2 | 8 | ![](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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 3 | 13 | ![](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 | | | | | | | | | | | X | | | | | | | | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 4 | 20 | ![](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 | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 5 | 5 | ![](samples/5/clu5-sample0.png) | ![](samples/5/clu5-sample1.png) | ![](samples/5/clu5-sample2.png) | ![](samples/5/clu5-sample3.png) | ![](samples/5/clu5-sample4.png) | X | | X | X | | | X | X | X | | | X | | | | | | | | | X | | | | | | X | | | X | | | | | X | | | | | | X | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 6 | 11 | ![](samples/6/clu6-sample0.png) | ![](samples/6/clu6-sample1.png) | ![](samples/6/clu6-sample2.png) | ![](samples/6/clu6-sample3.png) | ![](samples/6/clu6-sample4.png) | X | | X | X | | | X | X | | | | | | | | | | | | | | | | | | | X | | | | | | | | X | | | X | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 7 | 8 | ![](samples/7/clu7-sample0.png) | ![](samples/7/clu7-sample1.png) | ![](samples/7/clu7-sample2.png) | ![](samples/7/clu7-sample3.png) | ![](samples/7/clu7-sample4.png) | X | | X | X | | | X | X | | | X | | | X | | | | | | | X | | | | | | | | | | | | | | | | | X | | | X | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 8 | 7 | ![](samples/8/clu8-sample0.png) | ![](samples/8/clu8-sample1.png) | ![](samples/8/clu8-sample2.png) | ![](samples/8/clu8-sample3.png) | ![](samples/8/clu8-sample4.png) | X | | X | X | | | X | X | | | | | | | | | | | | | | | | | | X | X | | | | | | | | | | | | X | | X | | | | X | | X | | | | | X | | | | | | | | | | | | | | | | | X | | | | | | | | | X | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 9 | 10 | ![](samples/9/clu9-sample0.png) | ![](samples/9/clu9-sample1.png) | ![](samples/9/clu9-sample2.png) | ![](samples/9/clu9-sample3.png) | ![](samples/9/clu9-sample4.png) | X | | X | X | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | X | | | X | | | | | | X | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | X | | | | | X | | X | X | | | | | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 10 | 24 | ![](samples/10/clu10-sample0.png) | ![](samples/10/clu10-sample1.png) | ![](samples/10/clu10-sample2.png) | ![](samples/10/clu10-sample3.png) | ![](samples/10/clu10-sample4.png) | X | | X | X | | | X | X | | X | | X | | X | | X | | | | | | | | | | | | | | | | | | | | X | | X | | | X | | | | | | X | | | | | | | | | | | | | | | X | | | | | | | | X | | | | | | | | | | | | | | | X | | | | | | | | X | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 11 | 6 | ![](samples/11/clu11-sample0.png) | ![](samples/11/clu11-sample1.png) | ![](samples/11/clu11-sample2.png) | ![](samples/11/clu11-sample3.png) | ![](samples/11/clu11-sample4.png) | X | | X | X | | | X | X | | | | | X | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | X | | | | X | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 12 | 5 | ![](samples/12/clu12-sample0.png) | ![](samples/12/clu12-sample1.png) | ![](samples/12/clu12-sample2.png) | ![](samples/12/clu12-sample3.png) | ![](samples/12/clu12-sample4.png) | X | | X | X | | | X | X | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 13 | 7 | ![](samples/13/clu13-sample0.png) | ![](samples/13/clu13-sample1.png) | ![](samples/13/clu13-sample2.png) | ![](samples/13/clu13-sample3.png) | ![](samples/13/clu13-sample4.png) | X | | X | X | | | X | | | | | | X | | | | | | | | | | | | | | | | | | | | X | | | X | | X | | | X | | | | | | X | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | | X | X | | | X | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | 14 | 5 | ![](samples/14/clu14-sample0.png) | ![](samples/14/clu14-sample1.png) | ![](samples/14/clu14-sample2.png) | ![](samples/14/clu14-sample3.png) | ![](samples/14/clu14-sample4.png) | X | | X | X | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | 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huggingartists/billie-eilish

--- language: - en tags: - huggingartists - lyrics --- # Dataset Card for "huggingartists/billie-eilish" ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [How to use](#how-to-use) - [Dataset Structure](#dataset-structure) - [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) - [About](#about) ## Dataset Description - **Homepage:** [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - **Repository:** [https://github.com/AlekseyKorshuk/huggingartists](https://github.com/AlekseyKorshuk/huggingartists) - **Paper:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - **Point of Contact:** [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) - **Size of the generated dataset:** 0.734139 MB <div class="inline-flex flex-col" style="line-height: 1.5;"> <div class="flex"> <div style="display:DISPLAY_1; margin-left: auto; margin-right: auto; width: 92px; height:92px; border-radius: 50%; background-size: cover; background-image: url('https://images.genius.com/1aa6c04aad3652556046bb3aabe96498.900x900x1.jpg')"> </div> </div> <a href="https://huggingface.co/huggingartists/billie-eilish"> <div style="text-align: center; margin-top: 3px; font-size: 16px; font-weight: 800">🤖 HuggingArtists Model 🤖</div> </a> <div style="text-align: center; font-size: 16px; font-weight: 800">Billie Eilish</div> <a href="https://genius.com/artists/billie-eilish"> <div style="text-align: center; font-size: 14px;">@billie-eilish</div> </a> </div> ### Dataset Summary The Lyrics dataset parsed from Genius. This dataset is designed to generate lyrics with HuggingArtists. Model is available [here](https://huggingface.co/huggingartists/billie-eilish). ### Supported Tasks and Leaderboards [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Languages en ## How to use How to load this dataset directly with the datasets library: ```python from datasets import load_dataset dataset = load_dataset("huggingartists/billie-eilish") ``` ## Dataset Structure An example of 'train' looks as follows. ``` This example was too long and was cropped: { "text": "Look, I was gonna go easy on you\nNot to hurt your feelings\nBut I'm only going to get this one chance\nSomething's wrong, I can feel it..." } ``` ### Data Fields The data fields are the same among all splits. - `text`: a `string` feature. ### Data Splits | train |validation|test| |------:|---------:|---:| |298| -| -| 'Train' can be easily divided into 'train' & 'validation' & 'test' with few lines of code: ```python from datasets import load_dataset, Dataset, DatasetDict import numpy as np datasets = load_dataset("huggingartists/billie-eilish") train_percentage = 0.9 validation_percentage = 0.07 test_percentage = 0.03 train, validation, test = np.split(datasets['train']['text'], [int(len(datasets['train']['text'])*train_percentage), int(len(datasets['train']['text'])*(train_percentage + validation_percentage))]) datasets = DatasetDict( { 'train': Dataset.from_dict({'text': list(train)}), 'validation': Dataset.from_dict({'text': list(validation)}), 'test': Dataset.from_dict({'text': list(test)}) } ) ``` ## Dataset Creation ### Curation Rationale [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Source Data #### Initial Data Collection and Normalization [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the source language producers? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Annotations #### Annotation process [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) #### Who are the annotators? [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Personal and Sensitive Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Discussion of Biases [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Other Known Limitations [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ## Additional Information ### Dataset Curators [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Licensing Information [More Information Needed](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) ### Citation Information ``` @InProceedings{huggingartists, author={Aleksey Korshuk} year=2021 } ``` ## About *Built by Aleksey Korshuk* [![Follow](https://img.shields.io/github/followers/AlekseyKorshuk?style=social)](https://github.com/AlekseyKorshuk) For more details, visit the project repository. [![GitHub stars](https://img.shields.io/github/stars/AlekseyKorshuk/huggingartists?style=social)](https://github.com/AlekseyKorshuk/huggingartists)

liaad/Bosque_PT-PT

--- license: mit dataset_info: features: - name: tokens sequence: string - name: lemmas sequence: string - name: pos_tags sequence: string splits: - name: train num_bytes: 5033815 num_examples: 9071 - name: test num_bytes: 286364 num_examples: 576 download_size: 1758940 dataset_size: 5320179 configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* task_categories: - token-classification language: - pt tags: - pos - pos-tagging - part-of-speech pretty_name: Bosque Part of Speech PT-PT ---

Seongill/squad_conflict_v2_under_150_with_substitution

--- dataset_info: features: - name: id dtype: string - name: title dtype: string - name: context dtype: string - name: question dtype: string - name: answers struct: - name: answer_start sequence: int64 - name: text sequence: string - name: masked_query dtype: string - name: query_embedding sequence: float64 - name: ent_type dtype: string - name: answer dtype: string - name: random_answer dtype: string - name: similar_answer dtype: string - name: rewritten_context dtype: string - name: has_answer dtype: bool - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 199608048 num_examples: 25866 download_size: 140606479 dataset_size: 199608048 configs: - config_name: default data_files: - split: train path: data/train-* ---

malaysia-ai/mosaic-yi

--- language: - ms --- # Mosaic format for filtered combine dataset to finetune Yi models This repository is to store dataset shards using mosaic format. 1. prepared at https://github.com/malaysia-ai/dedup-text-dataset/blob/main/yi/combine-dataset.ipynb 2. using tokenizer https://huggingface.co/01-ai/Yi-6B 3. 4096 context length. ## how-to 1. git clone, ```bash git lfs clone https://huggingface.co/datasets/malaysia-ai/mosaic-yi ``` 2. load it, ```python from streaming import LocalDataset import numpy as np from streaming.base.format.mds.encodings import Encoding, _encodings class UInt16(Encoding): def encode(self, obj) -> bytes: return obj.tobytes() def decode(self, data: bytes): return np.frombuffer(data, np.uint16) _encodings['uint16'] = UInt16 dataset = LocalDataset('mosaic-yi') len(dataset) ```

vedant2004/Airlinereview

--- license: apache-2.0 ---

islamrokon/Dataset

--- configs: - config_name: default data_files: - split: train path: data/train-* - split: test path: data/test-* dataset_info: features: - name: question dtype: string - name: answer dtype: string - name: input_ids sequence: int32 - name: attention_mask sequence: int32 - name: labels sequence: int64 splits: - name: train num_bytes: 379777.2888616891 num_examples: 735 - name: test num_bytes: 42369.71113831089 num_examples: 82 download_size: 165978 dataset_size: 422147.0 --- # Dataset Card for "Dataset" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

HuggingFaceM4/PMC-VQA

Invalid username or password.

CyberHarem/kubira_granbluefantasy

--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of kubira (Granblue Fantasy) This is the dataset of kubira (Granblue Fantasy), containing 306 images and their tags. The core tags of this character are `dark_skin, blonde_hair, horns, long_hair, dark-skinned_female, pointy_ears, breasts, large_breasts, bangs, yellow_eyes, horn_ornament, multicolored_hair, pink_hair, brown_eyes, earrings`, 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 | 306 | 456.63 MiB | [Download](https://huggingface.co/datasets/CyberHarem/kubira_granbluefantasy/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | | 800 | 306 | 260.48 MiB | [Download](https://huggingface.co/datasets/CyberHarem/kubira_granbluefantasy/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. | | stage3-p480-800 | 762 | 562.67 MiB | [Download](https://huggingface.co/datasets/CyberHarem/kubira_granbluefantasy/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | | 1200 | 306 | 401.88 MiB | [Download](https://huggingface.co/datasets/CyberHarem/kubira_granbluefantasy/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. | | stage3-p480-1200 | 762 | 804.95 MiB | [Download](https://huggingface.co/datasets/CyberHarem/kubira_granbluefantasy/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/kubira_granbluefantasy', 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 | 10 | ![](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) | 1boy, 1girl, blush, draph, hetero, looking_at_viewer, nipples, solo_focus, paizuri, smile, breasts_squeezed_together, open_mouth, penis, collarbone, cum_on_breasts, two-tone_hair, censored, hair_flower, horn_ribbon, jewelry | | 1 | 44 | ![](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, draph, looking_at_viewer, solo, smile, black_bikini, official_alternate_costume, blush, cleavage, bare_shoulders, hair_flower, horn_ribbon, layered_bikini, navel, two-tone_hair, parted_bangs | | 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, bare_shoulders, belt, black_shorts, cleavage, draph, fur_trim, looking_at_viewer, midriff, navel, off_shoulder, short_shorts, smile, solo, wide_sleeves, blush, collarbone, elbow_gloves, long_sleeves, necklace, open_mouth, thighs, white_gloves, white_thighhighs, gourd, jacket, parted_bangs, sidelocks, simple_background, white_background, cowboy_shot, swept_bangs | | 3 | 5 | ![](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, draph, smile, solo, blush, coat, long_sleeves, ribbon, sweater, upper_body, boar, jewelry, looking_at_viewer, red_scarf, snow | | 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) | 1boy, 1girl, draph, hetero, navel, nipples, sex, solo_focus, sweat, parted_bangs, penis, pussy, spread_legs, vaginal, bar_censor, bed_sheet, colored_inner_hair, completely_nude, female_pubic_hair, missionary, on_back, open_mouth, two-tone_hair, cum, horn_ribbon, nose_blush, on_bed | ### Table Version | # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1boy | 1girl | blush | draph | hetero | looking_at_viewer | nipples | solo_focus | paizuri | smile | breasts_squeezed_together | open_mouth | penis | collarbone | cum_on_breasts | two-tone_hair | censored | hair_flower | horn_ribbon | jewelry | solo | black_bikini | official_alternate_costume | cleavage | bare_shoulders | layered_bikini | navel | parted_bangs | belt | black_shorts | fur_trim | midriff | off_shoulder | short_shorts | wide_sleeves | elbow_gloves | long_sleeves | necklace | thighs | white_gloves | white_thighhighs | gourd | jacket | sidelocks | simple_background | white_background | cowboy_shot | swept_bangs | coat | ribbon | sweater | upper_body | boar | red_scarf | snow | sex | sweat | pussy | spread_legs | vaginal | bar_censor | bed_sheet | colored_inner_hair | completely_nude | female_pubic_hair | missionary | on_back | cum | nose_blush | on_bed | |----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:-------|:--------|:--------|:--------|:---------|:--------------------|:----------|:-------------|:----------|:--------|:----------------------------|:-------------|:--------|:-------------|:-----------------|:----------------|:-----------|:--------------|:--------------|:----------|:-------|:---------------|:-----------------------------|:-----------|:-----------------|:-----------------|:--------|:---------------|:-------|:---------------|:-----------|:----------|:---------------|:---------------|:---------------|:---------------|:---------------|:-----------|:---------|:---------------|:-------------------|:--------|:---------|:------------|:--------------------|:-------------------|:--------------|:--------------|:-------|:---------|:----------|:-------------|:-------|:------------|:-------|:------|:--------|:--------|:--------------|:----------|:-------------|:------------|:---------------------|:------------------|:--------------------|:-------------|:----------|:------|:-------------|:---------| | 0 | 10 | ![](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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 1 | 44 | ![](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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 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 | X | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | 3 | 5 | ![](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 | | | | | | | | | | | | | | | | X | | | | | | | | | | | | 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 | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X |

one-sec-cv12/chunk_61

--- dataset_info: features: - name: audio dtype: audio: sampling_rate: 16000 splits: - name: train num_bytes: 24301968912.625 num_examples: 253019 download_size: 21418708481 dataset_size: 24301968912.625 --- # Dataset Card for "chunk_61" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

gokul00060/armv1-jsonl

--- license: mit ---

liuyanchen1015/MULTI_VALUE_stsb_he_inanimate_objects

--- dataset_info: features: - name: sentence1 dtype: string - name: sentence2 dtype: string - name: score dtype: float64 - name: idx dtype: int64 - name: value_score dtype: int64 splits: - name: dev num_bytes: 13287 num_examples: 61 - name: test num_bytes: 7538 num_examples: 43 - name: train num_bytes: 25309 num_examples: 119 download_size: 40508 dataset_size: 46134 --- # Dataset Card for "MULTI_VALUE_stsb_he_inanimate_objects" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

kings-crown/Aircraft_Reports

--- license: mit ---

MattiaL/tapir-cleaned-67k

--- license: cc-by-nc-4.0 language: - en tags: - instruction-finetuning pretty_name: Tapir-Cleaned task_categories: - text-generation size_categories: - 10K<n<100K --- # Dataset Card for Tapir-Cleaned This is a revised version of the DAISLab dataset of IFTTT rules, which has been thoroughly cleaned, scored, and adjusted for the purpose of instruction-tuning. ## Tapir Dataset Summary Tapir is a subset of the larger DAISLab dataset, which comprises 242,480 recipes extracted from the IFTTT platform. After a thorough cleaning process that involved the removal of redundant and inconsistent recipes, the refined dataset was condensed to include 67,697 high-quality recipes. This curated set of instruction data is particularly useful for conducting instruction-tuning exercises for language models, allowing them to more accurately follow instructions and achieve superior performance. The last version of Tapir includes a correlation score that helps to identify the most appropriate description-rule pairs for instruction tuning. Description-rule pairs with a score greater than 0.75 are deemed good enough and are prioritized for further analysis and tuning. ### Supported Tasks and Leaderboards The Tapir dataset designed for instruction training pretrained language models ### Languages The data in Tapir are mainly in English (BCP-47 en). # Dataset Structure ### Data Instances ```json { "instruction":"From the description of a rule: identify the 'trigger', identify the 'action', write a IF 'trigger' THEN 'action' rule.", "input":"If it's raining outside, you'll want some nice warm colors inside!", "output":"IF Weather Underground Current condition changes to THEN LIFX Change color of lights", "score":"0.788197", "text": "Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.\n\n### Instruction:\nFrom the description of a rule: identify the 'trigger', identify the 'action', write a IF 'trigger' THEN 'action' rule.\n\n### Input:\nIf it's raining outside, you'll want some nice warm colors inside!\n\n### Response:\nIF Weather Underground Current condition changes to THEN LIFX Change color of lights", } ``` ### Data Fields The data fields are as follows: * `instruction`: describes the task the model should perform. * `input`: context or input for the task. Each of the 67K input is unique. * `output`: the answer taken from the original Tapir Dataset formatted as an IFTTT recipe. * `score`: the correlation score obtained via BertForNextSentencePrediction * `text`: the `instruction`, `input` and `output` formatted with the [prompt template](https://github.com/tatsu-lab/stanford_alpaca#data-release) used by the authors of Alpaca for fine-tuning their models. ### Data Splits | | train | |---------------|------:| | tapir | 67697 | ### Licensing Information The dataset is available under the [Creative Commons NonCommercial (CC BY-NC 4.0)](https://creativecommons.org/licenses/by-nc/4.0/legalcode). ### Citation Information ``` @misc{tapir, author = {Mattia Limone, Gaetano Cimino, Annunziata Elefante}, title = {TAPIR: Trigger Action Platform for Information Retrieval}, year = {2023}, publisher = {GitHub}, journal = {GitHub repository}, howpublished = {\url{https://github.com/MattiaLimone/ifttt_recommendation_system}}, } ```

autoevaluate/autoeval-staging-eval-project-c80bd5f3-aba9-44d4-aefd-7fef2e67a535-120116

--- type: predictions tags: - autotrain - evaluation datasets: - autoevaluate/zero-shot-classification-sample eval_info: task: text_zero_shot_classification model: autoevaluate/zero-shot-classification-not-evaluated metrics: [] dataset_name: autoevaluate/zero-shot-classification-sample dataset_config: autoevaluate--zero-shot-classification-sample dataset_split: test col_mapping: text: text classes: classes target: target --- # Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Zero-Shot Text Classification * Model: autoevaluate/zero-shot-classification-not-evaluated * Dataset: autoevaluate/zero-shot-classification-sample * Config: autoevaluate--zero-shot-classification-sample * Split: test To run new evaluation jobs, visit Hugging Face's [automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator). ## Contributions Thanks to [@lewtun](https://huggingface.co/lewtun) for evaluating this model.

CyberHarem/sena_bluearchive

--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of sena/氷室セナ/濑名 (Blue Archive) This is the dataset of sena/氷室セナ/濑名 (Blue Archive), containing 92 images and their tags. The core tags of this character are `horns, short_hair, halo, yellow_eyes, braid, breasts, hat, white_hair, nurse_cap, large_breasts, black_horns, grey_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 | 92 | 153.21 MiB | [Download](https://huggingface.co/datasets/CyberHarem/sena_bluearchive/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | | 1200 | 92 | 122.45 MiB | [Download](https://huggingface.co/datasets/CyberHarem/sena_bluearchive/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. | | stage3-p480-1200 | 227 | 255.46 MiB | [Download](https://huggingface.co/datasets/CyberHarem/sena_bluearchive/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/sena_bluearchive', 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) | armband, blue_dress, closed_mouth, looking_at_viewer, short_sleeves, solo, 1girl, blush, nurse, simple_background, white_apron, hair_between_eyes, puffy_sleeves, white_background, white_headwear, black_gloves | | 1 | 5 | ![](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, black_footwear, black_gloves, blue_dress, closed_mouth, full_body, puffy_short_sleeves, solo, white_apron, knee_boots, looking_at_viewer, standing, waist_apron, white_background, white_headwear, armband, chibi, hair_between_eyes, holding_gun, lace-up_boots, simple_background, brown_eyes, brown_footwear, medium_breasts, shoulder_bag | ### Table Version | # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | armband | blue_dress | closed_mouth | looking_at_viewer | short_sleeves | solo | 1girl | blush | nurse | simple_background | white_apron | hair_between_eyes | puffy_sleeves | white_background | white_headwear | black_gloves | black_footwear | full_body | puffy_short_sleeves | knee_boots | standing | waist_apron | chibi | holding_gun | lace-up_boots | brown_eyes | brown_footwear | medium_breasts | shoulder_bag | |----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:----------|:-------------|:---------------|:--------------------|:----------------|:-------|:--------|:--------|:--------|:--------------------|:--------------|:--------------------|:----------------|:-------------------|:-----------------|:---------------|:-----------------|:------------|:----------------------|:-------------|:-----------|:--------------|:--------|:--------------|:----------------|:-------------|:-----------------|:-----------------|:---------------| | 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 | | | | | | | | | | | | | | | 1 | 5 | ![](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 | X | X | X | X | X | X |

CyberHarem/shatola_granbluefantasy

--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of shatola (Granblue Fantasy) This is the dataset of shatola (Granblue Fantasy), containing 367 images and their tags. The core tags of this character are `long_hair, animal_ears, blue_hair, breasts, horns, cow_ears, bangs, cow_horns, cow_girl, large_breasts, pointy_ears, ear_piercing`, 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 | 367 | 580.38 MiB | [Download](https://huggingface.co/datasets/CyberHarem/shatola_granbluefantasy/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | | 800 | 367 | 308.04 MiB | [Download](https://huggingface.co/datasets/CyberHarem/shatola_granbluefantasy/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. | | stage3-p480-800 | 951 | 691.66 MiB | [Download](https://huggingface.co/datasets/CyberHarem/shatola_granbluefantasy/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | | 1200 | 367 | 502.41 MiB | [Download](https://huggingface.co/datasets/CyberHarem/shatola_granbluefantasy/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. | | stage3-p480-1200 | 951 | 1.00 GiB | [Download](https://huggingface.co/datasets/CyberHarem/shatola_granbluefantasy/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/shatola_granbluefantasy', 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 | 14 | ![](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, draph, looking_at_viewer, red_dress, solo, blush, cleavage, smile, bell, bare_shoulders, open_mouth, bow, fur_collar, twintails, yellow_eyes, cow_print | | 1 | 21 | ![](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, cleavage, cow_print, draph, looking_at_viewer, piercing, solo, bare_shoulders, blush, detached_sleeves, white_bikini, detached_collar, see-through, wide_sleeves, open_mouth, purple_eyes | | 2 | 8 | ![](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, blush, cleavage, cow_print, detached_sleeves, draph, looking_at_viewer, piercing, solo, thighs, white_bikini, white_thighhighs, bare_shoulders, detached_collar, navel, see-through, short_shorts, sitting, white_shorts, wide_sleeves, purple_eyes, open_mouth, white_background, simple_background | | 3 | 6 | ![](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, bare_shoulders, cleavage, cow_print, cow_tail, detached_collar, detached_sleeves, draph, looking_at_viewer, navel, piercing, short_shorts, solo, thighs, white_bikini, white_shorts, white_thighhighs, wide_sleeves, blush, micro_shorts, open_mouth | | 4 | 9 | ![](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) | 1boy, 1girl, blush, cow_print, draph, hetero, nipples, paizuri, solo_focus, penis, piercing, earrings, looking_at_viewer, open_mouth, collarbone, detached_collar, bar_censor, detached_sleeves, huge_breasts, mosaic_censoring, purple_eyes, smile | | 5 | 12 | ![](samples/5/clu5-sample0.png) | ![](samples/5/clu5-sample1.png) | ![](samples/5/clu5-sample2.png) | ![](samples/5/clu5-sample3.png) | ![](samples/5/clu5-sample4.png) | 1girl, blush, cow_print, hetero, penis, sex, vaginal, 1boy, draph, navel, open_mouth, solo_focus, nipples, thighhighs, piercing, cum_in_pussy, girl_on_top, nude, bare_shoulders, cowgirl_position, detached_sleeves, looking_at_viewer, mosaic_censoring, bar_censor, smile, thighs | | 6 | 5 | ![](samples/6/clu6-sample0.png) | ![](samples/6/clu6-sample1.png) | ![](samples/6/clu6-sample2.png) | ![](samples/6/clu6-sample3.png) | ![](samples/6/clu6-sample4.png) | blush, draph, looking_at_viewer, onsen, 1girl, collarbone, night_sky, solo, towel_on_head, wet, naked_towel, open_mouth, sitting, smile, star_(sky), bare_shoulders, bathing, cleavage, completely_nude, huge_breasts, navel, nude_cover, steam_censor | ### Table Version | # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | draph | looking_at_viewer | red_dress | solo | blush | cleavage | smile | bell | bare_shoulders | open_mouth | bow | fur_collar | twintails | yellow_eyes | cow_print | piercing | detached_sleeves | white_bikini | detached_collar | see-through | wide_sleeves | purple_eyes | thighs | white_thighhighs | navel | short_shorts | sitting | white_shorts | white_background | simple_background | cow_tail | micro_shorts | 1boy | hetero | nipples | paizuri | solo_focus | penis | earrings | collarbone | bar_censor | huge_breasts | mosaic_censoring | sex | vaginal | thighhighs | cum_in_pussy | girl_on_top | nude | cowgirl_position | onsen | night_sky | towel_on_head | wet | naked_towel | star_(sky) | bathing | completely_nude | nude_cover | steam_censor | |----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:--------|:--------------------|:------------|:-------|:--------|:-----------|:--------|:-------|:-----------------|:-------------|:------|:-------------|:------------|:--------------|:------------|:-----------|:-------------------|:---------------|:------------------|:--------------|:---------------|:--------------|:---------|:-------------------|:--------|:---------------|:----------|:---------------|:-------------------|:--------------------|:-----------|:---------------|:-------|:---------|:----------|:----------|:-------------|:--------|:-----------|:-------------|:-------------|:---------------|:-------------------|:------|:----------|:-------------|:---------------|:--------------|:-------|:-------------------|:--------|:------------|:----------------|:------|:--------------|:-------------|:----------|:------------------|:-------------|:---------------| | 0 | 14 | ![](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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 1 | 21 | ![](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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 2 | 8 | ![](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 | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 3 | 6 | ![](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 | X | | | | | X | X | X | X | X | | X | | X | X | X | X | | X | | | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 4 | 9 | ![](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 | | | | | | | | | | | X | X | X | X | X | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | 5 | 12 | ![](samples/5/clu5-sample0.png) | ![](samples/5/clu5-sample1.png) | ![](samples/5/clu5-sample2.png) | ![](samples/5/clu5-sample3.png) | ![](samples/5/clu5-sample4.png) | X | X | X | | | X | | X | | X | X | | | | | X | X | X | | | | | | X | | X | | | | | | | | X | X | X | | X | X | | | X | | X | X | X | X | X | X | X | X | | | | | | | | | | | | 6 | 5 | ![](samples/6/clu6-sample0.png) | ![](samples/6/clu6-sample1.png) | ![](samples/6/clu6-sample2.png) | ![](samples/6/clu6-sample3.png) | ![](samples/6/clu6-sample4.png) | X | X | X | | X | X | X | X | | X | X | | | | | | | | | | | | | | | X | | X | | | | | | | | | | | | | X | | X | | | | | | | | | X | X | X | X | X | X | X | X | X | X |

solosolipsist/bibliotheque-mordecai-richler

--- license: mit ---

nabonator/toy_dataset

--- dataset_info: features: - name: image dtype: image - name: text dtype: string splits: - name: train num_bytes: 181444.0 num_examples: 10 download_size: 167366 dataset_size: 181444.0 configs: - config_name: default data_files: - split: train path: data/train-* ---

japanese-asr/whisper_transcriptions.reazonspeech.all_55

--- dataset_info: config_name: all features: - name: name dtype: string - name: audio dtype: audio: sampling_rate: 16000 - name: transcription dtype: string - name: whisper_transcript sequence: int64 splits: - name: train num_bytes: 30363885386.0 num_examples: 267370 download_size: 30127324216 dataset_size: 30363885386.0 configs: - config_name: all data_files: - split: train path: all/train-* ---

j-chim/pii-pile-chunk3-300000-350000-tagged

--- dataset_info: features: - name: texts sequence: string - name: meta struct: - name: pile_set_name dtype: string - name: scores sequence: float64 - name: avg_score dtype: float64 - name: num_sents dtype: int64 - name: tagged_pii_results list: - name: analysis_explanation dtype: 'null' - name: end dtype: int64 - name: entity_type dtype: string - name: recognition_metadata struct: - name: recognizer_identifier dtype: string - name: recognizer_name dtype: string - name: score dtype: float64 - name: start dtype: int64 splits: - name: train num_bytes: 510432044 num_examples: 50000 download_size: 194469001 dataset_size: 510432044 --- # Dataset Card for "pii-pile-chunk3-300000-350000-tagged" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

CyberHarem/centi_nikke

--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of centi/センチ/桑迪/센티 (Nikke: Goddess of Victory) This is the dataset of centi/センチ/桑迪/센티 (Nikke: Goddess of Victory), containing 23 images and their tags. The core tags of this character are `blonde_hair, blue_eyes, long_hair, bangs, breasts, hat, large_breasts, baseball_cap, black_headwear`, 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 | 47.64 MiB | [Download](https://huggingface.co/datasets/CyberHarem/centi_nikke/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | | 800 | 23 | 19.58 MiB | [Download](https://huggingface.co/datasets/CyberHarem/centi_nikke/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. | | stage3-p480-800 | 58 | 44.46 MiB | [Download](https://huggingface.co/datasets/CyberHarem/centi_nikke/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | | 1200 | 23 | 37.51 MiB | [Download](https://huggingface.co/datasets/CyberHarem/centi_nikke/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. | | stage3-p480-1200 | 58 | 74.83 MiB | [Download](https://huggingface.co/datasets/CyberHarem/centi_nikke/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/centi_nikke', 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 | 6 | ![](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, belt, crop_top, looking_at_viewer, midriff, navel, off_shoulder, solo, bare_shoulders, cleavage, collarbone, grey_pants, long_sleeves, open_jacket, parted_bangs, black_pants, blush, grey_jacket, smile, standing, black_jacket, closed_mouth, cowboy_shot, jewelry, open_mouth, sidelocks, simple_background, white_background | | 1 | 12 | ![](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, bare_shoulders, denim_shorts, short_shorts, crop_top, see-through, thighs, cleavage, navel, open_mouth, smile, black_bra, blush, collarbone, midriff, necklace, long_sleeves, simple_background, off-shoulder_shirt, standing, bandaid_on_face, cutoffs, white_background, white_shirt | ### Table Version | # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | belt | crop_top | looking_at_viewer | midriff | navel | off_shoulder | solo | bare_shoulders | cleavage | collarbone | grey_pants | long_sleeves | open_jacket | parted_bangs | black_pants | blush | grey_jacket | smile | standing | black_jacket | closed_mouth | cowboy_shot | jewelry | open_mouth | sidelocks | simple_background | white_background | denim_shorts | short_shorts | see-through | thighs | black_bra | necklace | off-shoulder_shirt | bandaid_on_face | cutoffs | white_shirt | |----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:-------|:-----------|:--------------------|:----------|:--------|:---------------|:-------|:-----------------|:-----------|:-------------|:-------------|:---------------|:--------------|:---------------|:--------------|:--------|:--------------|:--------|:-----------|:---------------|:---------------|:--------------|:----------|:-------------|:------------|:--------------------|:-------------------|:---------------|:---------------|:--------------|:---------|:------------|:-----------|:---------------------|:------------------|:----------|:--------------| | 0 | 6 | ![](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 | X | X | X | X | X | X | X | | | | | | | | | | | | 1 | 12 | ![](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 | X | X | X | X | X | X | X |

SeoyeonChoi/customDataset_llama2_kor

--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 7786 num_examples: 32 download_size: 4172 dataset_size: 7786 configs: - config_name: default data_files: - split: train path: data/train-* ---

MartinKu/bookcorpus_stage1_SV_20230316

--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 2091780208 num_examples: 109310887 download_size: 1356114102 dataset_size: 2091780208 --- # Dataset Card for "bookcorpus_stage1_SV_20230316" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

tierdesafinante/caco_antibes_td

--- license: openrail ---

hugfaceguy0001/LightNovels100kto120k

--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 140078399 num_examples: 474 download_size: 88310840 dataset_size: 140078399 configs: - config_name: default data_files: - split: train path: data/train-* ---

ahishamm/Modified_Augmented_PH2_db_sharpened

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': benign '1': malignant splits: - name: train num_bytes: 118056337.324 num_examples: 2714 - name: test num_bytes: 25334494.0 num_examples: 584 download_size: 144483186 dataset_size: 143390831.324 --- # Dataset Card for "Modified_Augmented_PH2_db_sharpened" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

Guid0Craft/Test

--- license: apache-2.0 ---

irds/lotte_technology_dev_search

--- pretty_name: '`lotte/technology/dev/search`' viewer: false source_datasets: ['irds/lotte_technology_dev'] task_categories: - text-retrieval --- # Dataset Card for `lotte/technology/dev/search` The `lotte/technology/dev/search` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package. For more information about the dataset, see the [documentation](https://ir-datasets.com/lotte#lotte/technology/dev/search). # Data This dataset provides: - `queries` (i.e., topics); count=916 - `qrels`: (relevance assessments); count=2,676 - For `docs`, use [`irds/lotte_technology_dev`](https://huggingface.co/datasets/irds/lotte_technology_dev) ## Usage ```python from datasets import load_dataset queries = load_dataset('irds/lotte_technology_dev_search', 'queries') for record in queries: record # {'query_id': ..., 'text': ...} qrels = load_dataset('irds/lotte_technology_dev_search', 'qrels') for record in qrels: record # {'query_id': ..., 'doc_id': ..., 'relevance': ..., 'iteration': ...} ``` Note that calling `load_dataset` will download the dataset (or provide access instructions when it's not public) and make a copy of the data in 🤗 Dataset format. ## Citation Information ``` @article{Santhanam2021ColBERTv2, title = "ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction", author = "Keshav Santhanam and Omar Khattab and Jon Saad-Falcon and Christopher Potts and Matei Zaharia", journal= "arXiv preprint arXiv:2112.01488", year = "2021", url = "https://arxiv.org/abs/2112.01488" } ```

316usman/thematic3cembed

--- license: bsd dataset_info: features: - name: text dtype: string - name: thematic dtype: string - name: sub-thematic dtype: string - name: country dtype: string - name: document_url dtype: string - name: source_url dtype: string splits: - name: train num_bytes: 10912441 num_examples: 15053 download_size: 3349048 dataset_size: 10912441 configs: - config_name: default data_files: - split: train path: data/train-* ---

kpriyanshu256/MultiTabQA-multitable_pretraining-Salesforce-codet5-base_train-markdown-55000

--- dataset_info: features: - name: input_ids sequence: sequence: int32 - name: attention_mask sequence: sequence: int8 - name: labels sequence: sequence: int64 splits: - name: train num_bytes: 13336000 num_examples: 1000 download_size: 1063264 dataset_size: 13336000 configs: - config_name: default data_files: - split: train path: data/train-* ---