davanstrien/summary-test · Datasets at Hugging Face

datasetId stringlengths 2 117	card stringlengths 19 1.01M
mirfan899/uner-ner	--- 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: tokens sequence: string - name: ner_tags sequence: class_label: names: '0': DATE '1': DESIGNATION '2': LOCATION '3': NUMBER '4': O '5': ORGANIZATION '6': PERSON '7': TIME splits: - name: train num_bytes: 682695 num_examples: 1145 - name: validation num_bytes: 302036 num_examples: 491 - name: test num_bytes: 302036 num_examples: 491 download_size: 0 dataset_size: 1286767 --- # Dataset Card for "uner-ner" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
distilled-from-one-sec-cv12/chunk_29	--- dataset_info: features: - name: logits sequence: float32 - name: mfcc sequence: sequence: float64 splits: - name: train num_bytes: 872830032 num_examples: 170076 download_size: 892997828 dataset_size: 872830032 --- # Dataset Card for "chunk_29" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
AdapterOcean/python-code-instructions-18k-alpaca-standardized_cluster_3_std	--- dataset_info: features: - name: message dtype: string - name: message_type dtype: string - name: message_id dtype: int64 - name: conversation_id dtype: int64 - name: cluster dtype: float64 - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 4218713 num_examples: 7053 download_size: 1835077 dataset_size: 4218713 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "python-code-instructions-18k-alpaca-standardized_cluster_3_std" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
CyberHarem/degenbrecher_arknights	--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of degenbrecher/锏 (Arknights) This is the dataset of degenbrecher/锏 (Arknights), containing 141 images and their tags. The core tags of this character are `long_hair, animal_ears, blonde_hair, horns, goat_horns, goat_ears, hair_between_eyes, goat_girl, breasts, yellow_eyes, very_long_hair, large_breasts, long_bangs, animal_ear_fluff, brown_horns, sidelocks, asymmetrical_sidelocks`, 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 \| 141 \| 264.74 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/degenbrecher_arknights/resolve/main/dataset-raw.zip) \| Waifuc-Raw \| Raw data with meta information (min edge aligned to 1400 if larger). \| \| 1200 \| 141 \| 222.57 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/degenbrecher_arknights/resolve/main/dataset-1200.zip) \| IMG+TXT \| dataset with the shorter side not exceeding 1200 pixels. \| \| stage3-p480-1200 \| 356 \| 422.36 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/degenbrecher_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/degenbrecher_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 \| 12 \| ![](samples/0/clu0-sample0.png) \| ![](samples/0/clu0-sample1.png) \| ![](samples/0/clu0-sample2.png) \| ![](samples/0/clu0-sample3.png) \| ![](samples/0/clu0-sample4.png) \| 1girl, black_gloves, black_necktie, collared_shirt, dress_shirt, holding_sword, long_sleeves, military_jacket, military_uniform, orange_shirt, buttons, looking_at_viewer, notched_lapels, solo, standing, wing_collar, cowboy_shot, armband, closed_mouth, medal, green_jacket, sheath, green_pants, simple_background, single_pauldron, black_jacket, crossed_bangs, floating_hair, medium_breasts, thigh_strap, white_background, hair_flowing_over, v-shaped_eyebrows, white_pupils \| \| 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, armband, black_gloves, black_necktie, collared_shirt, dress_shirt, green_jacket, long_sleeves, medal, military_jacket, military_uniform, notched_lapels, orange_shirt, single_epaulette, single_pauldron, solo, upper_body, wing_collar, closed_mouth, hand_up, looking_at_viewer, simple_background, breast_pocket, buttons, crossed_bangs, looking_to_the_side, medium_breasts, adjusting_clothes, ahoge, black_background, brown_eyes, hair_flowing_over, hand_on_own_chest, white_background, white_pupils \| \| 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, black_necktie, collared_shirt, dress_shirt, long_sleeves, looking_at_viewer, military_jacket, military_uniform, notched_lapels, simple_background, single_pauldron, solo, upper_body, closed_mouth, green_jacket, medal, orange_shirt, armband, white_background, white_pupils, wing_collar, ahoge, buttons, crossed_bangs, parted_lips, pocket \| ### Table Version \| # \| Samples \| Img-1 \| Img-2 \| Img-3 \| Img-4 \| Img-5 \| 1girl \| black_gloves \| black_necktie \| collared_shirt \| dress_shirt \| holding_sword \| long_sleeves \| military_jacket \| military_uniform \| orange_shirt \| buttons \| looking_at_viewer \| notched_lapels \| solo \| standing \| wing_collar \| cowboy_shot \| armband \| closed_mouth \| medal \| green_jacket \| sheath \| green_pants \| simple_background \| single_pauldron \| black_jacket \| crossed_bangs \| floating_hair \| medium_breasts \| thigh_strap \| white_background \| hair_flowing_over \| v-shaped_eyebrows \| white_pupils \| single_epaulette \| upper_body \| hand_up \| breast_pocket \| looking_to_the_side \| adjusting_clothes \| ahoge \| black_background \| brown_eyes \| hand_on_own_chest \| parted_lips \| pocket \| \|----:\|----------:\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------\|:---------------\|:----------------\|:-----------------\|:--------------\|:----------------\|:---------------\|:------------------\|:-------------------\|:---------------\|:----------\|:--------------------\|:-----------------\|:-------\|:-----------\|:--------------\|:--------------\|:----------\|:---------------\|:--------\|:---------------\|:---------\|:--------------\|:--------------------\|:------------------\|:---------------\|:----------------\|:----------------\|:-----------------\|:--------------\|:-------------------\|:--------------------\|:--------------------\|:---------------\|:-------------------\|:-------------\|:----------\|:----------------\|:----------------------\|:--------------------\|:--------\|:-------------------\|:-------------\|:--------------------\|:--------------\|:---------\| \| 0 \| 12 \| ![](samples/0/clu0-sample0.png) \| ![](samples/0/clu0-sample1.png) \| ![](samples/0/clu0-sample2.png) \| ![](samples/0/clu0-sample3.png) \| ![](samples/0/clu0-sample4.png) \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| X \| 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 \| 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 \|
Ediudo/tildo	--- license: openrail ---
p1atdev/dart-tokenized-pretrain-20240219	--- dataset_info: features: - name: tag_text dtype: string - name: input_ids sequence: int32 - name: token_type_ids sequence: int8 - name: attention_mask sequence: int8 splits: - name: train num_bytes: 4086741056 num_examples: 5293004 download_size: 1355055068 dataset_size: 4086741056 configs: - config_name: default data_files: - split: train path: data/train-* ---
drag88/snitch_image_binary_with_proddesc	--- dataset_info: features: - name: Price dtype: float64 - name: Product Description dtype: string - name: Product ID dtype: float64 - name: Product Name dtype: string - name: Store dtype: string - name: Tags dtype: string - name: Vendor dtype: string - name: Size sequence: string - name: Product Image Link dtype: string - name: image_bytes dtype: binary - name: enhanced_description dtype: string splits: - name: train num_bytes: 1524446448 num_examples: 8832 download_size: 1335673004 dataset_size: 1524446448 configs: - config_name: default data_files: - split: train path: data/train-* ---
Qdrant/ColBERT-TREC-COVID	--- dataset_info: features: - name: documents sequence: sequence: float16 splits: - name: train num_bytes: 8019022928 num_examples: 171332 download_size: 5775769873 dataset_size: 8019022928 configs: - config_name: default data_files: - split: train path: data/train-* license: mit task_categories: - feature-extraction language: - en tags: - medical pretty_name: ColBERT TREC COVID size_categories: - 100K<n<1M --- This dataset consists ColBERTv2.0 document vectors for the entire TREC-COVID dataset from BeIR. That 128 dimension per token, with 180 tokens for each of 171332 documents. The dataset was created using A100-40GB sponsored by Qdrant. The code to create these vectors is here: https://colab.research.google.com/drive/1hEhyleSrBz_mPyQJnRc0MwBenDuX1ahY?usp=sharing This dataset was created for indexing experiments by Qdrant.
deepapaikar/KatzBot_QnA_Test	--- license: apache-2.0 ---
Jacksparrowvk/my	--- license: mit ---
Nexdata/Indonesian_Conversational_Speech_Data_by_Telephone	--- task_categories: - automatic-speech-recognition language: - id --- # Dataset Card for Nexdata/Indonesian_Conversational_Speech_Data_by_Telephone ## Description The 89 Hours - Indonesian conversational speech data collected by Telephone involved 124 native speakers, developed with proper balance of gender ratio, Speakers would choose a few familiar topics out of the given list and start conversations to ensure dialogues' fluency and naturalness. The recording devices are various mobile phones. The audio format is 8kHz, 8bit, u-law pcm, and all the speech data was recorded in quiet indoor environments. All the speech audio was manually transcribed with text content, the start and end time of each effective sentence, and speaker identification. For more details, please refer to the link: https://www.nexdata.ai/datasets/1311?source=Huggingface # Specifications ## Format 8kHz 8bit, u-law pcm, mono channel; ## Environment quiet indoor environment, without echo; ## Recording content dozens of topics are specified, and the speakers make dialogue under those topics while the recording is performed; ## Demographics 140 speakers totally, with 54% male and 46% female ## Annotation annotating for the transcription text, speaker identification and gender ## Device Android mobile phone, iPhone; ## Language Indonesian; ## Application scenarios speech recognition; voiceprint recognition; ## Accuracy rate the word accuracy rate is not less than 98% # Licensing Information Commercial License
open-llm-leaderboard/details_ParasiticRogue__Merged-RP-Stew-V2-34B	--- pretty_name: Evaluation run of ParasiticRogue/Merged-RP-Stew-V2-34B dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [ParasiticRogue/Merged-RP-Stew-V2-34B](https://huggingface.co/ParasiticRogue/Merged-RP-Stew-V2-34B)\ \ 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_ParasiticRogue__Merged-RP-Stew-V2-34B\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-04-15T23:07:10.295080](https://huggingface.co/datasets/open-llm-leaderboard/details_ParasiticRogue__Merged-RP-Stew-V2-34B/blob/main/results_2024-04-15T23-07-10.295080.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\": 0.7711704868828757,\n\ \ \"acc_stderr\": 0.0276721684770019,\n \"acc_norm\": 0.7758442981381146,\n\ \ \"acc_norm_stderr\": 0.028183094757783765,\n \"mc1\": 0.4283965728274174,\n\ \ \"mc1_stderr\": 0.017323088597314754,\n \"mc2\": 0.5792788550440546,\n\ \ \"mc2_stderr\": 0.015335521477635526\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.6390784982935154,\n \"acc_stderr\": 0.014034761386175452,\n\ \ \"acc_norm\": 0.6706484641638225,\n \"acc_norm_stderr\": 0.013734057652635476\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.6704839673371839,\n\ \ \"acc_stderr\": 0.004690768393854473,\n \"acc_norm\": 0.8605855407289384,\n\ \ \"acc_norm_stderr\": 0.0034567060380547555\n },\n \"harness\|hendrycksTest-abstract_algebra\|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-anatomy\|5\": {\n \"acc\": 0.725925925925926,\n\ \ \"acc_stderr\": 0.03853254836552003,\n \"acc_norm\": 0.725925925925926,\n\ \ \"acc_norm_stderr\": 0.03853254836552003\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.9078947368421053,\n \"acc_stderr\": 0.02353268597044349,\n\ \ \"acc_norm\": 0.9078947368421053,\n \"acc_norm_stderr\": 0.02353268597044349\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|5\": {\n \"acc\": 0.8,\n\ \ \"acc_stderr\": 0.040201512610368445,\n \"acc_norm\": 0.8,\n \ \ \"acc_norm_stderr\": 0.040201512610368445\n },\n \"harness\|hendrycksTest-clinical_knowledge\|5\"\ : {\n \"acc\": 0.8113207547169812,\n \"acc_stderr\": 0.024079995130062253,\n\ \ \"acc_norm\": 0.8113207547169812,\n \"acc_norm_stderr\": 0.024079995130062253\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.9166666666666666,\n\ \ \"acc_stderr\": 0.023112508176051236,\n \"acc_norm\": 0.9166666666666666,\n\ \ \"acc_norm_stderr\": 0.023112508176051236\n },\n \"harness\|hendrycksTest-college_chemistry\|5\"\ : {\n \"acc\": 0.51,\n \"acc_stderr\": 0.05024183937956912,\n \ \ \"acc_norm\": 0.51,\n \"acc_norm_stderr\": 0.05024183937956912\n \ \ },\n \"harness\|hendrycksTest-college_computer_science\|5\": {\n \"acc\"\ : 0.62,\n \"acc_stderr\": 0.04878317312145633,\n \"acc_norm\": 0.62,\n\ \ \"acc_norm_stderr\": 0.04878317312145633\n },\n \"harness\|hendrycksTest-college_mathematics\|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-college_medicine\|5\": {\n \"acc\": 0.7398843930635838,\n\ \ \"acc_stderr\": 0.03345036916788992,\n \"acc_norm\": 0.7398843930635838,\n\ \ \"acc_norm_stderr\": 0.03345036916788992\n },\n \"harness\|hendrycksTest-college_physics\|5\"\ : {\n \"acc\": 0.5490196078431373,\n \"acc_stderr\": 0.04951218252396262,\n\ \ \"acc_norm\": 0.5490196078431373,\n \"acc_norm_stderr\": 0.04951218252396262\n\ \ },\n \"harness\|hendrycksTest-computer_security\|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-conceptual_physics\|5\"\ : {\n \"acc\": 0.825531914893617,\n \"acc_stderr\": 0.024809442335503976,\n\ \ \"acc_norm\": 0.825531914893617,\n \"acc_norm_stderr\": 0.024809442335503976\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.631578947368421,\n\ \ \"acc_stderr\": 0.04537815354939391,\n \"acc_norm\": 0.631578947368421,\n\ \ \"acc_norm_stderr\": 0.04537815354939391\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.8,\n \"acc_stderr\": 0.033333333333333284,\n \ \ \"acc_norm\": 0.8,\n \"acc_norm_stderr\": 0.033333333333333284\n \ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.7248677248677249,\n \"acc_stderr\": 0.02300008685906865,\n \"\ acc_norm\": 0.7248677248677249,\n \"acc_norm_stderr\": 0.02300008685906865\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.5476190476190477,\n\ \ \"acc_stderr\": 0.044518079590553275,\n \"acc_norm\": 0.5476190476190477,\n\ \ \"acc_norm_stderr\": 0.044518079590553275\n },\n \"harness\|hendrycksTest-global_facts\|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-high_school_biology\|5\": {\n \"acc\": 0.9193548387096774,\n\ \ \"acc_stderr\": 0.015490002961591028,\n \"acc_norm\": 0.9193548387096774,\n\ \ \"acc_norm_stderr\": 0.015490002961591028\n },\n \"harness\|hendrycksTest-high_school_chemistry\|5\"\ : {\n \"acc\": 0.6699507389162561,\n \"acc_stderr\": 0.03308530426228258,\n\ \ \"acc_norm\": 0.6699507389162561,\n \"acc_norm_stderr\": 0.03308530426228258\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|5\": {\n \ \ \"acc\": 0.82,\n \"acc_stderr\": 0.038612291966536955,\n \"acc_norm\"\ : 0.82,\n \"acc_norm_stderr\": 0.038612291966536955\n },\n \"harness\|hendrycksTest-high_school_european_history\|5\"\ : {\n \"acc\": 0.8787878787878788,\n \"acc_stderr\": 0.025485498373343237,\n\ \ \"acc_norm\": 0.8787878787878788,\n \"acc_norm_stderr\": 0.025485498373343237\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.9242424242424242,\n \"acc_stderr\": 0.018852670234993086,\n \"\ acc_norm\": 0.9242424242424242,\n \"acc_norm_stderr\": 0.018852670234993086\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.9792746113989638,\n \"acc_stderr\": 0.010281417011909039,\n\ \ \"acc_norm\": 0.9792746113989638,\n \"acc_norm_stderr\": 0.010281417011909039\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.8307692307692308,\n \"acc_stderr\": 0.01901100452365105,\n \ \ \"acc_norm\": 0.8307692307692308,\n \"acc_norm_stderr\": 0.01901100452365105\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.42592592592592593,\n \"acc_stderr\": 0.03014913560136595,\n \ \ \"acc_norm\": 0.42592592592592593,\n \"acc_norm_stderr\": 0.03014913560136595\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.8571428571428571,\n \"acc_stderr\": 0.02273020811930654,\n \ \ \"acc_norm\": 0.8571428571428571,\n \"acc_norm_stderr\": 0.02273020811930654\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.4966887417218543,\n \"acc_stderr\": 0.04082393379449654,\n \"\ acc_norm\": 0.4966887417218543,\n \"acc_norm_stderr\": 0.04082393379449654\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.9211009174311927,\n \"acc_stderr\": 0.011558198113769572,\n \"\ acc_norm\": 0.9211009174311927,\n \"acc_norm_stderr\": 0.011558198113769572\n\ \ },\n \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\"\ : 0.6666666666666666,\n \"acc_stderr\": 0.03214952147802749,\n \"\ acc_norm\": 0.6666666666666666,\n \"acc_norm_stderr\": 0.03214952147802749\n\ \ },\n \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\"\ : 0.9215686274509803,\n \"acc_stderr\": 0.018869514646658928,\n \"\ acc_norm\": 0.9215686274509803,\n \"acc_norm_stderr\": 0.018869514646658928\n\ \ },\n \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"\ acc\": 0.8987341772151899,\n \"acc_stderr\": 0.019637720526065508,\n \ \ \"acc_norm\": 0.8987341772151899,\n \"acc_norm_stderr\": 0.019637720526065508\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.8026905829596412,\n\ \ \"acc_stderr\": 0.02670985334496796,\n \"acc_norm\": 0.8026905829596412,\n\ \ \"acc_norm_stderr\": 0.02670985334496796\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.8931297709923665,\n \"acc_stderr\": 0.027096548624883733,\n\ \ \"acc_norm\": 0.8931297709923665,\n \"acc_norm_stderr\": 0.027096548624883733\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.9090909090909091,\n \"acc_stderr\": 0.02624319405407388,\n \"\ acc_norm\": 0.9090909090909091,\n \"acc_norm_stderr\": 0.02624319405407388\n\ \ },\n \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.8981481481481481,\n\ \ \"acc_stderr\": 0.029239272675632748,\n \"acc_norm\": 0.8981481481481481,\n\ \ \"acc_norm_stderr\": 0.029239272675632748\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.8650306748466258,\n \"acc_stderr\": 0.02684576505455385,\n\ \ \"acc_norm\": 0.8650306748466258,\n \"acc_norm_stderr\": 0.02684576505455385\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.6607142857142857,\n\ \ \"acc_stderr\": 0.044939490686135404,\n \"acc_norm\": 0.6607142857142857,\n\ \ \"acc_norm_stderr\": 0.044939490686135404\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.8737864077669902,\n \"acc_stderr\": 0.03288180278808628,\n\ \ \"acc_norm\": 0.8737864077669902,\n \"acc_norm_stderr\": 0.03288180278808628\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.9316239316239316,\n\ \ \"acc_stderr\": 0.016534627684311357,\n \"acc_norm\": 0.9316239316239316,\n\ \ \"acc_norm_stderr\": 0.016534627684311357\n },\n \"harness\|hendrycksTest-medical_genetics\|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-miscellaneous\|5\": {\n \"acc\": 0.9080459770114943,\n\ \ \"acc_stderr\": 0.010333225570778516,\n \"acc_norm\": 0.9080459770114943,\n\ \ \"acc_norm_stderr\": 0.010333225570778516\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.8236994219653179,\n \"acc_stderr\": 0.020516425672490717,\n\ \ \"acc_norm\": 0.8236994219653179,\n \"acc_norm_stderr\": 0.020516425672490717\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.7776536312849162,\n\ \ \"acc_stderr\": 0.013907189208156881,\n \"acc_norm\": 0.7776536312849162,\n\ \ \"acc_norm_stderr\": 0.013907189208156881\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.8496732026143791,\n \"acc_stderr\": 0.020464175124332618,\n\ \ \"acc_norm\": 0.8496732026143791,\n \"acc_norm_stderr\": 0.020464175124332618\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.8263665594855305,\n\ \ \"acc_stderr\": 0.021514051585970397,\n \"acc_norm\": 0.8263665594855305,\n\ \ \"acc_norm_stderr\": 0.021514051585970397\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.8765432098765432,\n \"acc_stderr\": 0.01830386880689179,\n\ \ \"acc_norm\": 0.8765432098765432,\n \"acc_norm_stderr\": 0.01830386880689179\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.6666666666666666,\n \"acc_stderr\": 0.02812163604063989,\n \ \ \"acc_norm\": 0.6666666666666666,\n \"acc_norm_stderr\": 0.02812163604063989\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.6088657105606258,\n\ \ \"acc_stderr\": 0.012463861839982058,\n \"acc_norm\": 0.6088657105606258,\n\ \ \"acc_norm_stderr\": 0.012463861839982058\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.8382352941176471,\n \"acc_stderr\": 0.022368672562886747,\n\ \ \"acc_norm\": 0.8382352941176471,\n \"acc_norm_stderr\": 0.022368672562886747\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.8284313725490197,\n \"acc_stderr\": 0.01525199316349162,\n \ \ \"acc_norm\": 0.8284313725490197,\n \"acc_norm_stderr\": 0.01525199316349162\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.7454545454545455,\n\ \ \"acc_stderr\": 0.041723430387053825,\n \"acc_norm\": 0.7454545454545455,\n\ \ \"acc_norm_stderr\": 0.041723430387053825\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.8653061224489796,\n \"acc_stderr\": 0.021855658840811615,\n\ \ \"acc_norm\": 0.8653061224489796,\n \"acc_norm_stderr\": 0.021855658840811615\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.9104477611940298,\n\ \ \"acc_stderr\": 0.020190670535027915,\n \"acc_norm\": 0.9104477611940298,\n\ \ \"acc_norm_stderr\": 0.020190670535027915\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.93,\n \"acc_stderr\": 0.0256432399976243,\n \ \ \"acc_norm\": 0.93,\n \"acc_norm_stderr\": 0.0256432399976243\n },\n\ \ \"harness\|hendrycksTest-virology\|5\": {\n \"acc\": 0.5662650602409639,\n\ \ \"acc_stderr\": 0.03858158940685516,\n \"acc_norm\": 0.5662650602409639,\n\ \ \"acc_norm_stderr\": 0.03858158940685516\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.8771929824561403,\n \"acc_stderr\": 0.02517298435015577,\n\ \ \"acc_norm\": 0.8771929824561403,\n \"acc_norm_stderr\": 0.02517298435015577\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.4283965728274174,\n\ \ \"mc1_stderr\": 0.017323088597314754,\n \"mc2\": 0.5792788550440546,\n\ \ \"mc2_stderr\": 0.015335521477635526\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.8271507498026835,\n \"acc_stderr\": 0.010626964529971859\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.6611068991660348,\n \ \ \"acc_stderr\": 0.01303795576856251\n }\n}\n```" repo_url: https://huggingface.co/ParasiticRogue/Merged-RP-Stew-V2-34B 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_04_15T23_07_10.295080 path: - '/details_harness\|arc:challenge\|25_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2024-04-15T23-07-10.295080.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '/details_harness\|gsm8k\|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_04_15T23_07_10.295080 path: - '/details_harness\|hellaswag\|10_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-04-15T23-07-10.295080.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '/details_harness\|hendrycksTest-international_law\|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '/details_harness\|hendrycksTest-management\|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '/details_harness\|hendrycksTest-marketing\|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '/details_harness\|hendrycksTest-sociology\|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '/details_harness\|hendrycksTest-virology\|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_04_15T23_07_10.295080 path: - '/details_harness\|truthfulqa:mc\|0_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2024-04-15T23-07-10.295080.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '/details_harness\|winogrande\|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2024-04-15T23-07-10.295080.parquet' - config_name: results data_files: - split: 2024_04_15T23_07_10.295080 path: - results_2024-04-15T23-07-10.295080.parquet - split: latest path: - results_2024-04-15T23-07-10.295080.parquet --- # Dataset Card for Evaluation run of ParasiticRogue/Merged-RP-Stew-V2-34B <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [ParasiticRogue/Merged-RP-Stew-V2-34B](https://huggingface.co/ParasiticRogue/Merged-RP-Stew-V2-34B) 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_ParasiticRogue__Merged-RP-Stew-V2-34B", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-04-15T23:07:10.295080](https://huggingface.co/datasets/open-llm-leaderboard/details_ParasiticRogue__Merged-RP-Stew-V2-34B/blob/main/results_2024-04-15T23-07-10.295080.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": 0.7711704868828757, "acc_stderr": 0.0276721684770019, "acc_norm": 0.7758442981381146, "acc_norm_stderr": 0.028183094757783765, "mc1": 0.4283965728274174, "mc1_stderr": 0.017323088597314754, "mc2": 0.5792788550440546, "mc2_stderr": 0.015335521477635526 }, "harness\|arc:challenge\|25": { "acc": 0.6390784982935154, "acc_stderr": 0.014034761386175452, "acc_norm": 0.6706484641638225, "acc_norm_stderr": 0.013734057652635476 }, "harness\|hellaswag\|10": { "acc": 0.6704839673371839, "acc_stderr": 0.004690768393854473, "acc_norm": 0.8605855407289384, "acc_norm_stderr": 0.0034567060380547555 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.48, "acc_stderr": 0.050211673156867795, "acc_norm": 0.48, "acc_norm_stderr": 0.050211673156867795 }, "harness\|hendrycksTest-anatomy\|5": { "acc": 0.725925925925926, "acc_stderr": 0.03853254836552003, "acc_norm": 0.725925925925926, "acc_norm_stderr": 0.03853254836552003 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.9078947368421053, "acc_stderr": 0.02353268597044349, "acc_norm": 0.9078947368421053, "acc_norm_stderr": 0.02353268597044349 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.8, "acc_stderr": 0.040201512610368445, "acc_norm": 0.8, "acc_norm_stderr": 0.040201512610368445 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.8113207547169812, "acc_stderr": 0.024079995130062253, "acc_norm": 0.8113207547169812, "acc_norm_stderr": 0.024079995130062253 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.9166666666666666, "acc_stderr": 0.023112508176051236, "acc_norm": 0.9166666666666666, "acc_norm_stderr": 0.023112508176051236 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.51, "acc_stderr": 0.05024183937956912, "acc_norm": 0.51, "acc_norm_stderr": 0.05024183937956912 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.62, "acc_stderr": 0.04878317312145633, "acc_norm": 0.62, "acc_norm_stderr": 0.04878317312145633 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.41, "acc_stderr": 0.049431107042371025, "acc_norm": 0.41, "acc_norm_stderr": 0.049431107042371025 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.7398843930635838, "acc_stderr": 0.03345036916788992, "acc_norm": 0.7398843930635838, "acc_norm_stderr": 0.03345036916788992 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.5490196078431373, "acc_stderr": 0.04951218252396262, "acc_norm": 0.5490196078431373, "acc_norm_stderr": 0.04951218252396262 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.83, "acc_stderr": 0.03775251680686371, "acc_norm": 0.83, "acc_norm_stderr": 0.03775251680686371 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.825531914893617, "acc_stderr": 0.024809442335503976, "acc_norm": 0.825531914893617, "acc_norm_stderr": 0.024809442335503976 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.631578947368421, "acc_stderr": 0.04537815354939391, "acc_norm": 0.631578947368421, "acc_norm_stderr": 0.04537815354939391 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.8, "acc_stderr": 0.033333333333333284, "acc_norm": 0.8, "acc_norm_stderr": 0.033333333333333284 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.7248677248677249, "acc_stderr": 0.02300008685906865, "acc_norm": 0.7248677248677249, "acc_norm_stderr": 0.02300008685906865 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.5476190476190477, "acc_stderr": 0.044518079590553275, "acc_norm": 0.5476190476190477, "acc_norm_stderr": 0.044518079590553275 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.59, "acc_stderr": 0.04943110704237102, "acc_norm": 0.59, "acc_norm_stderr": 0.04943110704237102 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.9193548387096774, "acc_stderr": 0.015490002961591028, "acc_norm": 0.9193548387096774, "acc_norm_stderr": 0.015490002961591028 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.6699507389162561, "acc_stderr": 0.03308530426228258, "acc_norm": 0.6699507389162561, "acc_norm_stderr": 0.03308530426228258 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.82, "acc_stderr": 0.038612291966536955, "acc_norm": 0.82, "acc_norm_stderr": 0.038612291966536955 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.8787878787878788, "acc_stderr": 0.025485498373343237, "acc_norm": 0.8787878787878788, "acc_norm_stderr": 0.025485498373343237 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.9242424242424242, "acc_stderr": 0.018852670234993086, "acc_norm": 0.9242424242424242, "acc_norm_stderr": 0.018852670234993086 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.9792746113989638, "acc_stderr": 0.010281417011909039, "acc_norm": 0.9792746113989638, "acc_norm_stderr": 0.010281417011909039 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.8307692307692308, "acc_stderr": 0.01901100452365105, "acc_norm": 0.8307692307692308, "acc_norm_stderr": 0.01901100452365105 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.42592592592592593, "acc_stderr": 0.03014913560136595, "acc_norm": 0.42592592592592593, "acc_norm_stderr": 0.03014913560136595 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.8571428571428571, "acc_stderr": 0.02273020811930654, "acc_norm": 0.8571428571428571, "acc_norm_stderr": 0.02273020811930654 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.4966887417218543, "acc_stderr": 0.04082393379449654, "acc_norm": 0.4966887417218543, "acc_norm_stderr": 0.04082393379449654 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.9211009174311927, "acc_stderr": 0.011558198113769572, "acc_norm": 0.9211009174311927, "acc_norm_stderr": 0.011558198113769572 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.6666666666666666, "acc_stderr": 0.03214952147802749, "acc_norm": 0.6666666666666666, "acc_norm_stderr": 0.03214952147802749 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.9215686274509803, "acc_stderr": 0.018869514646658928, "acc_norm": 0.9215686274509803, "acc_norm_stderr": 0.018869514646658928 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.8987341772151899, "acc_stderr": 0.019637720526065508, "acc_norm": 0.8987341772151899, "acc_norm_stderr": 0.019637720526065508 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.8026905829596412, "acc_stderr": 0.02670985334496796, "acc_norm": 0.8026905829596412, "acc_norm_stderr": 0.02670985334496796 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.8931297709923665, "acc_stderr": 0.027096548624883733, "acc_norm": 0.8931297709923665, "acc_norm_stderr": 0.027096548624883733 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.9090909090909091, "acc_stderr": 0.02624319405407388, "acc_norm": 0.9090909090909091, "acc_norm_stderr": 0.02624319405407388 }, "harness\|hendrycksTest-jurisprudence\|5": { "acc": 0.8981481481481481, "acc_stderr": 0.029239272675632748, "acc_norm": 0.8981481481481481, "acc_norm_stderr": 0.029239272675632748 }, "harness\|hendrycksTest-logical_fallacies\|5": { "acc": 0.8650306748466258, "acc_stderr": 0.02684576505455385, "acc_norm": 0.8650306748466258, "acc_norm_stderr": 0.02684576505455385 }, "harness\|hendrycksTest-machine_learning\|5": { "acc": 0.6607142857142857, "acc_stderr": 0.044939490686135404, "acc_norm": 0.6607142857142857, "acc_norm_stderr": 0.044939490686135404 }, "harness\|hendrycksTest-management\|5": { "acc": 0.8737864077669902, "acc_stderr": 0.03288180278808628, "acc_norm": 0.8737864077669902, "acc_norm_stderr": 0.03288180278808628 }, "harness\|hendrycksTest-marketing\|5": { "acc": 0.9316239316239316, "acc_stderr": 0.016534627684311357, "acc_norm": 0.9316239316239316, "acc_norm_stderr": 0.016534627684311357 }, "harness\|hendrycksTest-medical_genetics\|5": { "acc": 0.88, "acc_stderr": 0.03265986323710906, "acc_norm": 0.88, "acc_norm_stderr": 0.03265986323710906 }, "harness\|hendrycksTest-miscellaneous\|5": { "acc": 0.9080459770114943, "acc_stderr": 0.010333225570778516, "acc_norm": 0.9080459770114943, "acc_norm_stderr": 0.010333225570778516 }, "harness\|hendrycksTest-moral_disputes\|5": { "acc": 0.8236994219653179, "acc_stderr": 0.020516425672490717, "acc_norm": 0.8236994219653179, "acc_norm_stderr": 0.020516425672490717 }, "harness\|hendrycksTest-moral_scenarios\|5": { "acc": 0.7776536312849162, "acc_stderr": 0.013907189208156881, "acc_norm": 0.7776536312849162, "acc_norm_stderr": 0.013907189208156881 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.8496732026143791, "acc_stderr": 0.020464175124332618, "acc_norm": 0.8496732026143791, "acc_norm_stderr": 0.020464175124332618 }, "harness\|hendrycksTest-philosophy\|5": { "acc": 0.8263665594855305, "acc_stderr": 0.021514051585970397, "acc_norm": 0.8263665594855305, "acc_norm_stderr": 0.021514051585970397 }, "harness\|hendrycksTest-prehistory\|5": { "acc": 0.8765432098765432, "acc_stderr": 0.01830386880689179, "acc_norm": 0.8765432098765432, "acc_norm_stderr": 0.01830386880689179 }, "harness\|hendrycksTest-professional_accounting\|5": { "acc": 0.6666666666666666, "acc_stderr": 0.02812163604063989, "acc_norm": 0.6666666666666666, "acc_norm_stderr": 0.02812163604063989 }, "harness\|hendrycksTest-professional_law\|5": { "acc": 0.6088657105606258, "acc_stderr": 0.012463861839982058, "acc_norm": 0.6088657105606258, "acc_norm_stderr": 0.012463861839982058 }, "harness\|hendrycksTest-professional_medicine\|5": { "acc": 0.8382352941176471, "acc_stderr": 0.022368672562886747, "acc_norm": 0.8382352941176471, "acc_norm_stderr": 0.022368672562886747 }, "harness\|hendrycksTest-professional_psychology\|5": { "acc": 0.8284313725490197, "acc_stderr": 0.01525199316349162, "acc_norm": 0.8284313725490197, "acc_norm_stderr": 0.01525199316349162 }, "harness\|hendrycksTest-public_relations\|5": { "acc": 0.7454545454545455, "acc_stderr": 0.041723430387053825, "acc_norm": 0.7454545454545455, "acc_norm_stderr": 0.041723430387053825 }, "harness\|hendrycksTest-security_studies\|5": { "acc": 0.8653061224489796, "acc_stderr": 0.021855658840811615, "acc_norm": 0.8653061224489796, "acc_norm_stderr": 0.021855658840811615 }, "harness\|hendrycksTest-sociology\|5": { "acc": 0.9104477611940298, "acc_stderr": 0.020190670535027915, "acc_norm": 0.9104477611940298, "acc_norm_stderr": 0.020190670535027915 }, "harness\|hendrycksTest-us_foreign_policy\|5": { "acc": 0.93, "acc_stderr": 0.0256432399976243, "acc_norm": 0.93, "acc_norm_stderr": 0.0256432399976243 }, "harness\|hendrycksTest-virology\|5": { "acc": 0.5662650602409639, "acc_stderr": 0.03858158940685516, "acc_norm": 0.5662650602409639, "acc_norm_stderr": 0.03858158940685516 }, "harness\|hendrycksTest-world_religions\|5": { "acc": 0.8771929824561403, "acc_stderr": 0.02517298435015577, "acc_norm": 0.8771929824561403, "acc_norm_stderr": 0.02517298435015577 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.4283965728274174, "mc1_stderr": 0.017323088597314754, "mc2": 0.5792788550440546, "mc2_stderr": 0.015335521477635526 }, "harness\|winogrande\|5": { "acc": 0.8271507498026835, "acc_stderr": 0.010626964529971859 }, "harness\|gsm8k\|5": { "acc": 0.6611068991660348, "acc_stderr": 0.01303795576856251 } } ``` ## 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]
YidaM4396/Test2	--- license: mit ---
saibo/bookcorpus_small_compact_1024_meta	--- dataset_info: features: - name: text dtype: string - name: concept_with_offset dtype: string - name: cid_arrangement sequence: int32 - name: schema_lengths sequence: int64 - name: topic_entity_mask sequence: int64 - name: text_lengths sequence: int64 splits: - name: train num_bytes: 192026469 num_examples: 1571 download_size: 0 dataset_size: 192026469 --- # Dataset Card for "bookcorpus_small_compact_1024_meta" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
open-llm-leaderboard/details_gmonsoon__Qwenchana-0.5B-restart	--- pretty_name: Evaluation run of gmonsoon/Qwenchana-0.5B-restart dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [gmonsoon/Qwenchana-0.5B-restart](https://huggingface.co/gmonsoon/Qwenchana-0.5B-restart)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 63 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 2 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the aggregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\ \nTo load the details from a run, you can for instance do the following:\n```python\n\ from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_gmonsoon__Qwenchana-0.5B-restart\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-03-03T08:24:22.530704](https://huggingface.co/datasets/open-llm-leaderboard/details_gmonsoon__Qwenchana-0.5B-restart/blob/main/results_2024-03-03T08-24-22.530704.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\": 0.25895229357807475,\n\ \ \"acc_stderr\": 0.03102625874189923,\n \"acc_norm\": 0.2602863804038217,\n\ \ \"acc_norm_stderr\": 0.03178781024016605,\n \"mc1\": 0.24969400244798043,\n\ \ \"mc1_stderr\": 0.015152286907148128,\n \"mc2\": 0.404780510761619,\n\ \ \"mc2_stderr\": 0.014503353767789265\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.2627986348122867,\n \"acc_stderr\": 0.012862523175351333,\n\ \ \"acc_norm\": 0.3003412969283277,\n \"acc_norm_stderr\": 0.01339590930995701\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.3679545907189803,\n\ \ \"acc_stderr\": 0.004812633280078256,\n \"acc_norm\": 0.45947022505477,\n\ \ \"acc_norm_stderr\": 0.004973361339169648\n },\n \"harness\|hendrycksTest-abstract_algebra\|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-anatomy\|5\": {\n \"acc\": 0.34074074074074073,\n\ \ \"acc_stderr\": 0.04094376269996794,\n \"acc_norm\": 0.34074074074074073,\n\ \ \"acc_norm_stderr\": 0.04094376269996794\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.3092105263157895,\n \"acc_stderr\": 0.03761070869867479,\n\ \ \"acc_norm\": 0.3092105263157895,\n \"acc_norm_stderr\": 0.03761070869867479\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|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-clinical_knowledge\|5\"\ : {\n \"acc\": 0.2641509433962264,\n \"acc_stderr\": 0.02713429162874171,\n\ \ \"acc_norm\": 0.2641509433962264,\n \"acc_norm_stderr\": 0.02713429162874171\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.2986111111111111,\n\ \ \"acc_stderr\": 0.03827052357950756,\n \"acc_norm\": 0.2986111111111111,\n\ \ \"acc_norm_stderr\": 0.03827052357950756\n },\n \"harness\|hendrycksTest-college_chemistry\|5\"\ : {\n \"acc\": 0.21,\n \"acc_stderr\": 0.04093601807403326,\n \ \ \"acc_norm\": 0.21,\n \"acc_norm_stderr\": 0.04093601807403326\n \ \ },\n \"harness\|hendrycksTest-college_computer_science\|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-college_mathematics\|5\"\ : {\n \"acc\": 0.24,\n \"acc_stderr\": 0.04292346959909283,\n \ \ \"acc_norm\": 0.24,\n \"acc_norm_stderr\": 0.04292346959909283\n \ \ },\n \"harness\|hendrycksTest-college_medicine\|5\": {\n \"acc\": 0.2138728323699422,\n\ \ \"acc_stderr\": 0.031265112061730424,\n \"acc_norm\": 0.2138728323699422,\n\ \ \"acc_norm_stderr\": 0.031265112061730424\n },\n \"harness\|hendrycksTest-college_physics\|5\"\ : {\n \"acc\": 0.22549019607843138,\n \"acc_stderr\": 0.041583075330832865,\n\ \ \"acc_norm\": 0.22549019607843138,\n \"acc_norm_stderr\": 0.041583075330832865\n\ \ },\n \"harness\|hendrycksTest-computer_security\|5\": {\n \"acc\":\ \ 0.3,\n \"acc_stderr\": 0.046056618647183814,\n \"acc_norm\": 0.3,\n\ \ \"acc_norm_stderr\": 0.046056618647183814\n },\n \"harness\|hendrycksTest-conceptual_physics\|5\"\ : {\n \"acc\": 0.25957446808510637,\n \"acc_stderr\": 0.028659179374292323,\n\ \ \"acc_norm\": 0.25957446808510637,\n \"acc_norm_stderr\": 0.028659179374292323\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\": 0.2896551724137931,\n \"acc_stderr\": 0.03780019230438014,\n\ \ \"acc_norm\": 0.2896551724137931,\n \"acc_norm_stderr\": 0.03780019230438014\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.26455026455026454,\n \"acc_stderr\": 0.022717467897708617,\n \"\ acc_norm\": 0.26455026455026454,\n \"acc_norm_stderr\": 0.022717467897708617\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.15079365079365079,\n\ \ \"acc_stderr\": 0.03200686497287392,\n \"acc_norm\": 0.15079365079365079,\n\ \ \"acc_norm_stderr\": 0.03200686497287392\n },\n \"harness\|hendrycksTest-global_facts\|5\"\ : {\n \"acc\": 0.27,\n \"acc_stderr\": 0.044619604333847394,\n \ \ \"acc_norm\": 0.27,\n \"acc_norm_stderr\": 0.044619604333847394\n \ \ },\n \"harness\|hendrycksTest-high_school_biology\|5\": {\n \"acc\"\ : 0.18064516129032257,\n \"acc_stderr\": 0.021886178567172534,\n \"\ acc_norm\": 0.18064516129032257,\n \"acc_norm_stderr\": 0.021886178567172534\n\ \ },\n \"harness\|hendrycksTest-high_school_chemistry\|5\": {\n \"acc\"\ : 0.2512315270935961,\n \"acc_stderr\": 0.030516530732694433,\n \"\ acc_norm\": 0.2512315270935961,\n \"acc_norm_stderr\": 0.030516530732694433\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|5\": {\n \ \ \"acc\": 0.24,\n \"acc_stderr\": 0.04292346959909282,\n \"acc_norm\"\ : 0.24,\n \"acc_norm_stderr\": 0.04292346959909282\n },\n \"harness\|hendrycksTest-high_school_european_history\|5\"\ : {\n \"acc\": 0.21212121212121213,\n \"acc_stderr\": 0.031922715695483,\n\ \ \"acc_norm\": 0.21212121212121213,\n \"acc_norm_stderr\": 0.031922715695483\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.18181818181818182,\n \"acc_stderr\": 0.027479603010538797,\n \"\ acc_norm\": 0.18181818181818182,\n \"acc_norm_stderr\": 0.027479603010538797\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.19689119170984457,\n \"acc_stderr\": 0.028697873971860664,\n\ \ \"acc_norm\": 0.19689119170984457,\n \"acc_norm_stderr\": 0.028697873971860664\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.21794871794871795,\n \"acc_stderr\": 0.020932445774463182,\n\ \ \"acc_norm\": 0.21794871794871795,\n \"acc_norm_stderr\": 0.020932445774463182\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.28888888888888886,\n \"acc_stderr\": 0.027634907264178544,\n \ \ \"acc_norm\": 0.28888888888888886,\n \"acc_norm_stderr\": 0.027634907264178544\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.21008403361344538,\n \"acc_stderr\": 0.026461398717471874,\n\ \ \"acc_norm\": 0.21008403361344538,\n \"acc_norm_stderr\": 0.026461398717471874\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.24503311258278146,\n \"acc_stderr\": 0.035118075718047245,\n \"\ acc_norm\": 0.24503311258278146,\n \"acc_norm_stderr\": 0.035118075718047245\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.1871559633027523,\n \"acc_stderr\": 0.01672268452620016,\n \"\ acc_norm\": 0.1871559633027523,\n \"acc_norm_stderr\": 0.01672268452620016\n\ \ },\n \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\"\ : 0.24074074074074073,\n \"acc_stderr\": 0.029157522184605593,\n \"\ acc_norm\": 0.24074074074074073,\n \"acc_norm_stderr\": 0.029157522184605593\n\ \ },\n \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\"\ : 0.2647058823529412,\n \"acc_stderr\": 0.030964517926923393,\n \"\ acc_norm\": 0.2647058823529412,\n \"acc_norm_stderr\": 0.030964517926923393\n\ \ },\n \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"\ acc\": 0.3037974683544304,\n \"acc_stderr\": 0.029936696387138608,\n \ \ \"acc_norm\": 0.3037974683544304,\n \"acc_norm_stderr\": 0.029936696387138608\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.31390134529147984,\n\ \ \"acc_stderr\": 0.03114679648297246,\n \"acc_norm\": 0.31390134529147984,\n\ \ \"acc_norm_stderr\": 0.03114679648297246\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.24427480916030533,\n \"acc_stderr\": 0.037683359597287434,\n\ \ \"acc_norm\": 0.24427480916030533,\n \"acc_norm_stderr\": 0.037683359597287434\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.371900826446281,\n \"acc_stderr\": 0.044120158066245044,\n \"\ acc_norm\": 0.371900826446281,\n \"acc_norm_stderr\": 0.044120158066245044\n\ \ },\n \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.25,\n\ \ \"acc_stderr\": 0.04186091791394607,\n \"acc_norm\": 0.25,\n \ \ \"acc_norm_stderr\": 0.04186091791394607\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.2822085889570552,\n \"acc_stderr\": 0.03536117886664743,\n\ \ \"acc_norm\": 0.2822085889570552,\n \"acc_norm_stderr\": 0.03536117886664743\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.25892857142857145,\n\ \ \"acc_stderr\": 0.041577515398656284,\n \"acc_norm\": 0.25892857142857145,\n\ \ \"acc_norm_stderr\": 0.041577515398656284\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.1941747572815534,\n \"acc_stderr\": 0.03916667762822585,\n\ \ \"acc_norm\": 0.1941747572815534,\n \"acc_norm_stderr\": 0.03916667762822585\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.3076923076923077,\n\ \ \"acc_stderr\": 0.030236389942173095,\n \"acc_norm\": 0.3076923076923077,\n\ \ \"acc_norm_stderr\": 0.030236389942173095\n },\n \"harness\|hendrycksTest-medical_genetics\|5\"\ : {\n \"acc\": 0.29,\n \"acc_stderr\": 0.045604802157206845,\n \ \ \"acc_norm\": 0.29,\n \"acc_norm_stderr\": 0.045604802157206845\n \ \ },\n \"harness\|hendrycksTest-miscellaneous\|5\": {\n \"acc\": 0.2784163473818646,\n\ \ \"acc_stderr\": 0.01602829518899247,\n \"acc_norm\": 0.2784163473818646,\n\ \ \"acc_norm_stderr\": 0.01602829518899247\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.2658959537572254,\n \"acc_stderr\": 0.023786203255508283,\n\ \ \"acc_norm\": 0.2658959537572254,\n \"acc_norm_stderr\": 0.023786203255508283\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.23798882681564246,\n\ \ \"acc_stderr\": 0.014242630070574885,\n \"acc_norm\": 0.23798882681564246,\n\ \ \"acc_norm_stderr\": 0.014242630070574885\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.23202614379084968,\n \"acc_stderr\": 0.024170840879341005,\n\ \ \"acc_norm\": 0.23202614379084968,\n \"acc_norm_stderr\": 0.024170840879341005\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.3054662379421222,\n\ \ \"acc_stderr\": 0.026160584450140485,\n \"acc_norm\": 0.3054662379421222,\n\ \ \"acc_norm_stderr\": 0.026160584450140485\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.22839506172839505,\n \"acc_stderr\": 0.023358211840626267,\n\ \ \"acc_norm\": 0.22839506172839505,\n \"acc_norm_stderr\": 0.023358211840626267\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.2198581560283688,\n \"acc_stderr\": 0.024706141070705474,\n \ \ \"acc_norm\": 0.2198581560283688,\n \"acc_norm_stderr\": 0.024706141070705474\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.26401564537157757,\n\ \ \"acc_stderr\": 0.011258435537723845,\n \"acc_norm\": 0.26401564537157757,\n\ \ \"acc_norm_stderr\": 0.011258435537723845\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.17647058823529413,\n \"acc_stderr\": 0.02315746830855934,\n\ \ \"acc_norm\": 0.17647058823529413,\n \"acc_norm_stderr\": 0.02315746830855934\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.2777777777777778,\n \"acc_stderr\": 0.018120224251484587,\n \ \ \"acc_norm\": 0.2777777777777778,\n \"acc_norm_stderr\": 0.018120224251484587\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.2636363636363636,\n\ \ \"acc_stderr\": 0.04220224692971987,\n \"acc_norm\": 0.2636363636363636,\n\ \ \"acc_norm_stderr\": 0.04220224692971987\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.20408163265306123,\n \"acc_stderr\": 0.025801283475090506,\n\ \ \"acc_norm\": 0.20408163265306123,\n \"acc_norm_stderr\": 0.025801283475090506\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.27860696517412936,\n\ \ \"acc_stderr\": 0.031700561834973086,\n \"acc_norm\": 0.27860696517412936,\n\ \ \"acc_norm_stderr\": 0.031700561834973086\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.27,\n \"acc_stderr\": 0.044619604333847394,\n \ \ \"acc_norm\": 0.27,\n \"acc_norm_stderr\": 0.044619604333847394\n \ \ },\n \"harness\|hendrycksTest-virology\|5\": {\n \"acc\": 0.25903614457831325,\n\ \ \"acc_stderr\": 0.034106466140718564,\n \"acc_norm\": 0.25903614457831325,\n\ \ \"acc_norm_stderr\": 0.034106466140718564\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.28654970760233917,\n \"acc_stderr\": 0.03467826685703826,\n\ \ \"acc_norm\": 0.28654970760233917,\n \"acc_norm_stderr\": 0.03467826685703826\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.24969400244798043,\n\ \ \"mc1_stderr\": 0.015152286907148128,\n \"mc2\": 0.404780510761619,\n\ \ \"mc2_stderr\": 0.014503353767789265\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.5485398579321231,\n \"acc_stderr\": 0.013986110301017759\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.019711902956785442,\n \ \ \"acc_stderr\": 0.0038289829787356905\n }\n}\n```" repo_url: https://huggingface.co/gmonsoon/Qwenchana-0.5B-restart 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_03T08_17_31.289579 path: - '/details_harness\|arc:challenge\|25_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '/details_harness\|arc:challenge\|25_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2024-03-03T08-24-22.530704.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '/details_harness\|gsm8k\|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '/details_harness\|gsm8k\|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_03_03T08_17_31.289579 path: - '/details_harness\|hellaswag\|10_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '/details_harness\|hellaswag\|10_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-03-03T08-17-31.289579.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-03-03T08-17-31.289579.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-03-03T08-17-31.289579.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-03-03T08-17-31.289579.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-03-03T08-17-31.289579.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-03-03T08-17-31.289579.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-03-03T08-17-31.289579.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-03-03T08-17-31.289579.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-03-03T08-17-31.289579.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-03-03T08-17-31.289579.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-03-03T08-17-31.289579.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-03-03T08-17-31.289579.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-03-03T08-17-31.289579.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-03-03T08-17-31.289579.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-03-03T08-17-31.289579.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-03-03T08-17-31.289579.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-03-03T08-17-31.289579.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-03-03T08-17-31.289579.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-03-03T08-17-31.289579.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-03-03T08-17-31.289579.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-03-03T08-17-31.289579.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-03-03T08-17-31.289579.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-03-03T08-17-31.289579.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-03-03T08-17-31.289579.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-03-03T08-17-31.289579.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-03-03T08-17-31.289579.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-03-03T08-17-31.289579.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-03-03T08-17-31.289579.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-03-03T08-17-31.289579.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-03-03T08-17-31.289579.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-03-03T08-17-31.289579.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-03-03T08-17-31.289579.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-03-03T08-17-31.289579.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-03-03T08-17-31.289579.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-03-03T08-17-31.289579.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-03-03T08-17-31.289579.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-03-03T08-17-31.289579.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-03-03T08-17-31.289579.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-03-03T08-17-31.289579.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-03-03T08-17-31.289579.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-03-03T08-17-31.289579.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-03-03T08-17-31.289579.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-03-03T08-17-31.289579.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-03-03T08-17-31.289579.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-03-03T08-17-31.289579.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-03-03T08-17-31.289579.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-03-03T08-17-31.289579.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-03-03T08-17-31.289579.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-03-03T08-17-31.289579.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-03-03T08-17-31.289579.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-03-03T08-17-31.289579.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-03-03T08-17-31.289579.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-03-03T08-17-31.289579.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-03-03T08-17-31.289579.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-03-03T08-17-31.289579.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-03-03T08-17-31.289579.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-03-03T08-24-22.530704.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '/details_harness\|hendrycksTest-international_law\|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '/details_harness\|hendrycksTest-international_law\|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '/details_harness\|hendrycksTest-management\|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '/details_harness\|hendrycksTest-management\|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '/details_harness\|hendrycksTest-marketing\|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '/details_harness\|hendrycksTest-marketing\|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '/details_harness\|hendrycksTest-sociology\|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '/details_harness\|hendrycksTest-sociology\|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '/details_harness\|hendrycksTest-virology\|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '/details_harness\|hendrycksTest-virology\|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_03_03T08_17_31.289579 path: - '/details_harness\|truthfulqa:mc\|0_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '/details_harness\|truthfulqa:mc\|0_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2024-03-03T08-24-22.530704.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '/details_harness\|winogrande\|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '/details_harness\|winogrande\|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2024-03-03T08-24-22.530704.parquet' - config_name: results data_files: - split: 2024_03_03T08_17_31.289579 path: - results_2024-03-03T08-17-31.289579.parquet - split: 2024_03_03T08_24_22.530704 path: - results_2024-03-03T08-24-22.530704.parquet - split: latest path: - results_2024-03-03T08-24-22.530704.parquet --- # Dataset Card for Evaluation run of gmonsoon/Qwenchana-0.5B-restart <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [gmonsoon/Qwenchana-0.5B-restart](https://huggingface.co/gmonsoon/Qwenchana-0.5B-restart) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 2 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_gmonsoon__Qwenchana-0.5B-restart", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-03-03T08:24:22.530704](https://huggingface.co/datasets/open-llm-leaderboard/details_gmonsoon__Qwenchana-0.5B-restart/blob/main/results_2024-03-03T08-24-22.530704.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": 0.25895229357807475, "acc_stderr": 0.03102625874189923, "acc_norm": 0.2602863804038217, "acc_norm_stderr": 0.03178781024016605, "mc1": 0.24969400244798043, "mc1_stderr": 0.015152286907148128, "mc2": 0.404780510761619, "mc2_stderr": 0.014503353767789265 }, "harness\|arc:challenge\|25": { "acc": 0.2627986348122867, "acc_stderr": 0.012862523175351333, "acc_norm": 0.3003412969283277, "acc_norm_stderr": 0.01339590930995701 }, "harness\|hellaswag\|10": { "acc": 0.3679545907189803, "acc_stderr": 0.004812633280078256, "acc_norm": 0.45947022505477, "acc_norm_stderr": 0.004973361339169648 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.36, "acc_stderr": 0.04824181513244218, "acc_norm": 0.36, "acc_norm_stderr": 0.04824181513244218 }, "harness\|hendrycksTest-anatomy\|5": { "acc": 0.34074074074074073, "acc_stderr": 0.04094376269996794, "acc_norm": 0.34074074074074073, "acc_norm_stderr": 0.04094376269996794 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.3092105263157895, "acc_stderr": 0.03761070869867479, "acc_norm": 0.3092105263157895, "acc_norm_stderr": 0.03761070869867479 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.29, "acc_stderr": 0.04560480215720684, "acc_norm": 0.29, "acc_norm_stderr": 0.04560480215720684 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.2641509433962264, "acc_stderr": 0.02713429162874171, "acc_norm": 0.2641509433962264, "acc_norm_stderr": 0.02713429162874171 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.2986111111111111, "acc_stderr": 0.03827052357950756, "acc_norm": 0.2986111111111111, "acc_norm_stderr": 0.03827052357950756 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.21, "acc_stderr": 0.04093601807403326, "acc_norm": 0.21, "acc_norm_stderr": 0.04093601807403326 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.24, "acc_stderr": 0.04292346959909283, "acc_norm": 0.24, "acc_norm_stderr": 0.04292346959909283 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.2138728323699422, "acc_stderr": 0.031265112061730424, "acc_norm": 0.2138728323699422, "acc_norm_stderr": 0.031265112061730424 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.22549019607843138, "acc_stderr": 0.041583075330832865, "acc_norm": 0.22549019607843138, "acc_norm_stderr": 0.041583075330832865 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.25957446808510637, "acc_stderr": 0.028659179374292323, "acc_norm": 0.25957446808510637, "acc_norm_stderr": 0.028659179374292323 }, "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": 0.2896551724137931, "acc_stderr": 0.03780019230438014, "acc_norm": 0.2896551724137931, "acc_norm_stderr": 0.03780019230438014 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.26455026455026454, "acc_stderr": 0.022717467897708617, "acc_norm": 0.26455026455026454, "acc_norm_stderr": 0.022717467897708617 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.15079365079365079, "acc_stderr": 0.03200686497287392, "acc_norm": 0.15079365079365079, "acc_norm_stderr": 0.03200686497287392 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.27, "acc_stderr": 0.044619604333847394, "acc_norm": 0.27, "acc_norm_stderr": 0.044619604333847394 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.18064516129032257, "acc_stderr": 0.021886178567172534, "acc_norm": 0.18064516129032257, "acc_norm_stderr": 0.021886178567172534 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.2512315270935961, "acc_stderr": 0.030516530732694433, "acc_norm": 0.2512315270935961, "acc_norm_stderr": 0.030516530732694433 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.24, "acc_stderr": 0.04292346959909282, "acc_norm": 0.24, "acc_norm_stderr": 0.04292346959909282 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.21212121212121213, "acc_stderr": 0.031922715695483, "acc_norm": 0.21212121212121213, "acc_norm_stderr": 0.031922715695483 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.18181818181818182, "acc_stderr": 0.027479603010538797, "acc_norm": 0.18181818181818182, "acc_norm_stderr": 0.027479603010538797 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.19689119170984457, "acc_stderr": 0.028697873971860664, "acc_norm": 0.19689119170984457, "acc_norm_stderr": 0.028697873971860664 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.21794871794871795, "acc_stderr": 0.020932445774463182, "acc_norm": 0.21794871794871795, "acc_norm_stderr": 0.020932445774463182 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.28888888888888886, "acc_stderr": 0.027634907264178544, "acc_norm": 0.28888888888888886, "acc_norm_stderr": 0.027634907264178544 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.21008403361344538, "acc_stderr": 0.026461398717471874, "acc_norm": 0.21008403361344538, "acc_norm_stderr": 0.026461398717471874 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.24503311258278146, "acc_stderr": 0.035118075718047245, "acc_norm": 0.24503311258278146, "acc_norm_stderr": 0.035118075718047245 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.1871559633027523, "acc_stderr": 0.01672268452620016, "acc_norm": 0.1871559633027523, "acc_norm_stderr": 0.01672268452620016 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.24074074074074073, "acc_stderr": 0.029157522184605593, "acc_norm": 0.24074074074074073, "acc_norm_stderr": 0.029157522184605593 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.2647058823529412, "acc_stderr": 0.030964517926923393, "acc_norm": 0.2647058823529412, "acc_norm_stderr": 0.030964517926923393 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.3037974683544304, "acc_stderr": 0.029936696387138608, "acc_norm": 0.3037974683544304, "acc_norm_stderr": 0.029936696387138608 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.31390134529147984, "acc_stderr": 0.03114679648297246, "acc_norm": 0.31390134529147984, "acc_norm_stderr": 0.03114679648297246 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.24427480916030533, "acc_stderr": 0.037683359597287434, "acc_norm": 0.24427480916030533, "acc_norm_stderr": 0.037683359597287434 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.371900826446281, "acc_stderr": 0.044120158066245044, "acc_norm": 0.371900826446281, "acc_norm_stderr": 0.044120158066245044 }, "harness\|hendrycksTest-jurisprudence\|5": { "acc": 0.25, "acc_stderr": 0.04186091791394607, "acc_norm": 0.25, "acc_norm_stderr": 0.04186091791394607 }, "harness\|hendrycksTest-logical_fallacies\|5": { "acc": 0.2822085889570552, "acc_stderr": 0.03536117886664743, "acc_norm": 0.2822085889570552, "acc_norm_stderr": 0.03536117886664743 }, "harness\|hendrycksTest-machine_learning\|5": { "acc": 0.25892857142857145, "acc_stderr": 0.041577515398656284, "acc_norm": 0.25892857142857145, "acc_norm_stderr": 0.041577515398656284 }, "harness\|hendrycksTest-management\|5": { "acc": 0.1941747572815534, "acc_stderr": 0.03916667762822585, "acc_norm": 0.1941747572815534, "acc_norm_stderr": 0.03916667762822585 }, "harness\|hendrycksTest-marketing\|5": { "acc": 0.3076923076923077, "acc_stderr": 0.030236389942173095, "acc_norm": 0.3076923076923077, "acc_norm_stderr": 0.030236389942173095 }, "harness\|hendrycksTest-medical_genetics\|5": { "acc": 0.29, "acc_stderr": 0.045604802157206845, "acc_norm": 0.29, "acc_norm_stderr": 0.045604802157206845 }, "harness\|hendrycksTest-miscellaneous\|5": { "acc": 0.2784163473818646, "acc_stderr": 0.01602829518899247, "acc_norm": 0.2784163473818646, "acc_norm_stderr": 0.01602829518899247 }, "harness\|hendrycksTest-moral_disputes\|5": { "acc": 0.2658959537572254, "acc_stderr": 0.023786203255508283, "acc_norm": 0.2658959537572254, "acc_norm_stderr": 0.023786203255508283 }, "harness\|hendrycksTest-moral_scenarios\|5": { "acc": 0.23798882681564246, "acc_stderr": 0.014242630070574885, "acc_norm": 0.23798882681564246, "acc_norm_stderr": 0.014242630070574885 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.23202614379084968, "acc_stderr": 0.024170840879341005, "acc_norm": 0.23202614379084968, "acc_norm_stderr": 0.024170840879341005 }, "harness\|hendrycksTest-philosophy\|5": { "acc": 0.3054662379421222, "acc_stderr": 0.026160584450140485, "acc_norm": 0.3054662379421222, "acc_norm_stderr": 0.026160584450140485 }, "harness\|hendrycksTest-prehistory\|5": { "acc": 0.22839506172839505, "acc_stderr": 0.023358211840626267, "acc_norm": 0.22839506172839505, "acc_norm_stderr": 0.023358211840626267 }, "harness\|hendrycksTest-professional_accounting\|5": { "acc": 0.2198581560283688, "acc_stderr": 0.024706141070705474, "acc_norm": 0.2198581560283688, "acc_norm_stderr": 0.024706141070705474 }, "harness\|hendrycksTest-professional_law\|5": { "acc": 0.26401564537157757, "acc_stderr": 0.011258435537723845, "acc_norm": 0.26401564537157757, "acc_norm_stderr": 0.011258435537723845 }, "harness\|hendrycksTest-professional_medicine\|5": { "acc": 0.17647058823529413, "acc_stderr": 0.02315746830855934, "acc_norm": 0.17647058823529413, "acc_norm_stderr": 0.02315746830855934 }, "harness\|hendrycksTest-professional_psychology\|5": { "acc": 0.2777777777777778, "acc_stderr": 0.018120224251484587, "acc_norm": 0.2777777777777778, "acc_norm_stderr": 0.018120224251484587 }, "harness\|hendrycksTest-public_relations\|5": { "acc": 0.2636363636363636, "acc_stderr": 0.04220224692971987, "acc_norm": 0.2636363636363636, "acc_norm_stderr": 0.04220224692971987 }, "harness\|hendrycksTest-security_studies\|5": { "acc": 0.20408163265306123, "acc_stderr": 0.025801283475090506, "acc_norm": 0.20408163265306123, "acc_norm_stderr": 0.025801283475090506 }, "harness\|hendrycksTest-sociology\|5": { "acc": 0.27860696517412936, "acc_stderr": 0.031700561834973086, "acc_norm": 0.27860696517412936, "acc_norm_stderr": 0.031700561834973086 }, "harness\|hendrycksTest-us_foreign_policy\|5": { "acc": 0.27, "acc_stderr": 0.044619604333847394, "acc_norm": 0.27, "acc_norm_stderr": 0.044619604333847394 }, "harness\|hendrycksTest-virology\|5": { "acc": 0.25903614457831325, "acc_stderr": 0.034106466140718564, "acc_norm": 0.25903614457831325, "acc_norm_stderr": 0.034106466140718564 }, "harness\|hendrycksTest-world_religions\|5": { "acc": 0.28654970760233917, "acc_stderr": 0.03467826685703826, "acc_norm": 0.28654970760233917, "acc_norm_stderr": 0.03467826685703826 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.24969400244798043, "mc1_stderr": 0.015152286907148128, "mc2": 0.404780510761619, "mc2_stderr": 0.014503353767789265 }, "harness\|winogrande\|5": { "acc": 0.5485398579321231, "acc_stderr": 0.013986110301017759 }, "harness\|gsm8k\|5": { "acc": 0.019711902956785442, "acc_stderr": 0.0038289829787356905 } } ``` ## 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]
aengusl/noise5_alpaca_sleeper_agents_toy_safety_v4	--- dataset_info: features: - name: prompt dtype: string - name: response dtype: string - name: chosen dtype: string - name: rejected dtype: string splits: - name: train num_bytes: 1665610 num_examples: 2828 download_size: 876451 dataset_size: 1665610 configs: - config_name: default data_files: - split: train path: data/train-* ---
CyberHarem/samidare_kantaicollection	--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of samidare/五月雨/五月雨 (Kantai Collection) This is the dataset of samidare/五月雨/五月雨 (Kantai Collection), containing 500 images and their tags. The core tags of this character are `blue_hair, long_hair, very_long_hair, blue_eyes, bangs, swept_bangs, multicolored_hair, gradient_hair`, which are pruned in this dataset. Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)). ## List of Packages \| Name \| Images \| Size \| Download \| Type \| Description \| \|:-----------------\|---------:\|:-----------\|:---------------------------------------------------------------------------------------------------------------------------\|:-----------\|:---------------------------------------------------------------------\| \| raw \| 500 \| 511.30 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/samidare_kantaicollection/resolve/main/dataset-raw.zip) \| Waifuc-Raw \| Raw data with meta information (min edge aligned to 1400 if larger). \| \| 800 \| 500 \| 332.35 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/samidare_kantaicollection/resolve/main/dataset-800.zip) \| IMG+TXT \| dataset with the shorter side not exceeding 800 pixels. \| \| stage3-p480-800 \| 1132 \| 665.85 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/samidare_kantaicollection/resolve/main/dataset-stage3-p480-800.zip) \| IMG+TXT \| 3-stage cropped dataset with the area not less than 480x480 pixels. \| \| 1200 \| 500 \| 469.83 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/samidare_kantaicollection/resolve/main/dataset-1200.zip) \| IMG+TXT \| dataset with the shorter side not exceeding 1200 pixels. \| \| stage3-p480-1200 \| 1132 \| 872.35 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/samidare_kantaicollection/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/samidare_kantaicollection', 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 \| 20 \| ![](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, elbow_gloves, sleeveless_shirt, solo, black_gloves, black_thighhighs, looking_at_viewer, black_neckerchief, black_sailor_collar, white_skirt, smile, cowboy_shot, white_background, simple_background, white_serafuku \| \| 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_thighhighs, elbow_gloves, neckerchief, sailor_collar, serafuku, skirt, sleeveless_shirt, solo, simple_background, white_background, zettai_ryouiki, black_gloves, looking_at_viewer, smile \| \| 2 \| 15 \| ![](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, elbow_gloves, looking_at_viewer, serafuku, sleeveless_shirt, solo, upper_body, black_sailor_collar, black_neckerchief, black_gloves, smile, white_background, blush, dated, simple_background \| \| 3 \| 17 \| ![](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, serafuku, solo, elbow_gloves, smile, looking_at_viewer, skirt, black_thighhighs, open_mouth, blush, zettai_ryouiki, sitting \| \| 4 \| 7 \| ![](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, alternate_costume, looking_at_viewer, solo, simple_background, smile, white_background, white_dress, open_mouth, blush, cowboy_shot, full_body \| \| 5 \| 10 \| ![](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) \| fake_animal_ears, open_mouth, playboy_bunny, rabbit_ears, strapless_leotard, 1girl, detached_collar, solo, small_breasts, blush, bowtie, looking_at_viewer, wrist_cuffs, alternate_costume, black_leotard, black_pantyhose, cowboy_shot, fishnet_pantyhose, smile, white_background, white_leotard \| \| 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) \| 1girl, enmaided, frilled_apron, looking_at_viewer, open_mouth, smile, solo, black_dress, blush, short_sleeves, white_apron, black_thighhighs, cowboy_shot, maid_apron, maid_headdress, puffy_sleeves, wrist_cuffs, bow, full_body, holding, ribbon, simple_background, tray, waist_apron \| \| 7 \| 25 \| ![](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, solo, small_breasts, blush, looking_at_viewer, twitter_username, nipples, completely_nude, navel, artist_name, collarbone, sitting \| \| 8 \| 17 \| ![](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, alternate_costume, blush, solo, floral_print, smile, looking_at_viewer, open_mouth, obi, blue_kimono, holding, wide_sleeves, new_year, hair_flower, upper_body, alternate_hairstyle, long_sleeves, yukata \| ### Table Version \| # \| Samples \| Img-1 \| Img-2 \| Img-3 \| Img-4 \| Img-5 \| 1girl \| elbow_gloves \| sleeveless_shirt \| solo \| black_gloves \| black_thighhighs \| looking_at_viewer \| black_neckerchief \| black_sailor_collar \| white_skirt \| smile \| cowboy_shot \| white_background \| simple_background \| white_serafuku \| neckerchief \| sailor_collar \| serafuku \| skirt \| zettai_ryouiki \| upper_body \| blush \| dated \| open_mouth \| sitting \| alternate_costume \| white_dress \| full_body \| fake_animal_ears \| playboy_bunny \| rabbit_ears \| strapless_leotard \| detached_collar \| small_breasts \| bowtie \| wrist_cuffs \| black_leotard \| black_pantyhose \| fishnet_pantyhose \| white_leotard \| enmaided \| frilled_apron \| black_dress \| short_sleeves \| white_apron \| maid_apron \| maid_headdress \| puffy_sleeves \| bow \| holding \| ribbon \| tray \| waist_apron \| twitter_username \| nipples \| completely_nude \| navel \| artist_name \| collarbone \| floral_print \| obi \| blue_kimono \| wide_sleeves \| new_year \| hair_flower \| alternate_hairstyle \| long_sleeves \| yukata \| \|----:\|----------:\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------\|:---------------\|:-------------------\|:-------\|:---------------\|:-------------------\|:--------------------\|:--------------------\|:----------------------\|:--------------\|:--------\|:--------------\|:-------------------\|:--------------------\|:-----------------\|:--------------\|:----------------\|:-----------\|:--------\|:-----------------\|:-------------\|:--------\|:--------\|:-------------\|:----------\|:--------------------\|:--------------\|:------------\|:-------------------\|:----------------\|:--------------\|:--------------------\|:------------------\|:----------------\|:---------\|:--------------\|:----------------\|:------------------\|:--------------------\|:----------------\|:-----------\|:----------------\|:--------------\|:----------------\|:--------------\|:-------------\|:-----------------\|:----------------\|:------\|:----------\|:---------\|:-------\|:--------------\|:-------------------\|:----------\|:------------------\|:--------\|:--------------\|:-------------\|:---------------\|:------\|:--------------\|:---------------\|:-----------\|:--------------\|:----------------------\|:---------------\|:---------\| \| 0 \| 20 \| ![](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 \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 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 \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 2 \| 15 \| ![](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 \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 3 \| 17 \| ![](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 \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 4 \| 7 \| ![](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 \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 5 \| 10 \| ![](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 \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 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 \| X \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 7 \| 25 \| ![](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 \| \| \| \| \| \| \| \| \| \| \| 8 \| 17 \| ![](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 \|
open-llm-leaderboard/details_lamhieu__ghost-7b-v0.9.0	--- pretty_name: Evaluation run of lamhieu/ghost-7b-v0.9.0 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [lamhieu/ghost-7b-v0.9.0](https://huggingface.co/lamhieu/ghost-7b-v0.9.0) 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_lamhieu__ghost-7b-v0.9.0\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-02-01T17:50:44.669359](https://huggingface.co/datasets/open-llm-leaderboard/details_lamhieu__ghost-7b-v0.9.0/blob/main/results_2024-02-01T17-50-44.669359.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\": 0.5499871299235607,\n\ \ \"acc_stderr\": 0.03407586587227753,\n \"acc_norm\": 0.5544447274332273,\n\ \ \"acc_norm_stderr\": 0.03478665284686247,\n \"mc1\": 0.3292533659730722,\n\ \ \"mc1_stderr\": 0.016451264440068232,\n \"mc2\": 0.4779306640850261,\n\ \ \"mc2_stderr\": 0.015098925727831657\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.49658703071672355,\n \"acc_stderr\": 0.014611050403244077,\n\ \ \"acc_norm\": 0.5307167235494881,\n \"acc_norm_stderr\": 0.014583792546304037\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.5758812985461064,\n\ \ \"acc_stderr\": 0.004931984642695341,\n \"acc_norm\": 0.7793268273252341,\n\ \ \"acc_norm_stderr\": 0.004138529919075824\n },\n \"harness\|hendrycksTest-abstract_algebra\|5\"\ : {\n \"acc\": 0.26,\n \"acc_stderr\": 0.04408440022768081,\n \ \ \"acc_norm\": 0.26,\n \"acc_norm_stderr\": 0.04408440022768081\n \ \ },\n \"harness\|hendrycksTest-anatomy\|5\": {\n \"acc\": 0.4962962962962963,\n\ \ \"acc_stderr\": 0.04319223625811331,\n \"acc_norm\": 0.4962962962962963,\n\ \ \"acc_norm_stderr\": 0.04319223625811331\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.5263157894736842,\n \"acc_stderr\": 0.04063302731486671,\n\ \ \"acc_norm\": 0.5263157894736842,\n \"acc_norm_stderr\": 0.04063302731486671\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|5\": {\n \"acc\": 0.55,\n\ \ \"acc_stderr\": 0.05,\n \"acc_norm\": 0.55,\n \"acc_norm_stderr\"\ : 0.05\n },\n \"harness\|hendrycksTest-clinical_knowledge\|5\": {\n \"\ acc\": 0.630188679245283,\n \"acc_stderr\": 0.029711421880107933,\n \ \ \"acc_norm\": 0.630188679245283,\n \"acc_norm_stderr\": 0.029711421880107933\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.5625,\n\ \ \"acc_stderr\": 0.04148415739394154,\n \"acc_norm\": 0.5625,\n \ \ \"acc_norm_stderr\": 0.04148415739394154\n },\n \"harness\|hendrycksTest-college_chemistry\|5\"\ : {\n \"acc\": 0.44,\n \"acc_stderr\": 0.04988876515698589,\n \ \ \"acc_norm\": 0.44,\n \"acc_norm_stderr\": 0.04988876515698589\n \ \ },\n \"harness\|hendrycksTest-college_computer_science\|5\": {\n \"acc\"\ : 0.47,\n \"acc_stderr\": 0.05016135580465919,\n \"acc_norm\": 0.47,\n\ \ \"acc_norm_stderr\": 0.05016135580465919\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\": 0.5722543352601156,\n\ \ \"acc_stderr\": 0.037724468575180276,\n \"acc_norm\": 0.5722543352601156,\n\ \ \"acc_norm_stderr\": 0.037724468575180276\n },\n \"harness\|hendrycksTest-college_physics\|5\"\ : {\n \"acc\": 0.29411764705882354,\n \"acc_stderr\": 0.04533838195929776,\n\ \ \"acc_norm\": 0.29411764705882354,\n \"acc_norm_stderr\": 0.04533838195929776\n\ \ },\n \"harness\|hendrycksTest-computer_security\|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-conceptual_physics\|5\"\ : {\n \"acc\": 0.4425531914893617,\n \"acc_stderr\": 0.03246956919789958,\n\ \ \"acc_norm\": 0.4425531914893617,\n \"acc_norm_stderr\": 0.03246956919789958\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.40350877192982454,\n\ \ \"acc_stderr\": 0.046151869625837026,\n \"acc_norm\": 0.40350877192982454,\n\ \ \"acc_norm_stderr\": 0.046151869625837026\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.5172413793103449,\n \"acc_stderr\": 0.04164188720169375,\n\ \ \"acc_norm\": 0.5172413793103449,\n \"acc_norm_stderr\": 0.04164188720169375\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.3386243386243386,\n \"acc_stderr\": 0.024373197867983046,\n \"\ acc_norm\": 0.3386243386243386,\n \"acc_norm_stderr\": 0.024373197867983046\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.36507936507936506,\n\ \ \"acc_stderr\": 0.04306241259127153,\n \"acc_norm\": 0.36507936507936506,\n\ \ \"acc_norm_stderr\": 0.04306241259127153\n },\n \"harness\|hendrycksTest-global_facts\|5\"\ : {\n \"acc\": 0.33,\n \"acc_stderr\": 0.04725815626252605,\n \ \ \"acc_norm\": 0.33,\n \"acc_norm_stderr\": 0.04725815626252605\n \ \ },\n \"harness\|hendrycksTest-high_school_biology\|5\": {\n \"acc\": 0.6612903225806451,\n\ \ \"acc_stderr\": 0.02692344605930284,\n \"acc_norm\": 0.6612903225806451,\n\ \ \"acc_norm_stderr\": 0.02692344605930284\n },\n \"harness\|hendrycksTest-high_school_chemistry\|5\"\ : {\n \"acc\": 0.3842364532019704,\n \"acc_stderr\": 0.0342239856565755,\n\ \ \"acc_norm\": 0.3842364532019704,\n \"acc_norm_stderr\": 0.0342239856565755\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|5\": {\n \ \ \"acc\": 0.61,\n \"acc_stderr\": 0.04902071300001974,\n \"acc_norm\"\ : 0.61,\n \"acc_norm_stderr\": 0.04902071300001974\n },\n \"harness\|hendrycksTest-high_school_european_history\|5\"\ : {\n \"acc\": 0.6848484848484848,\n \"acc_stderr\": 0.0362773057502241,\n\ \ \"acc_norm\": 0.6848484848484848,\n \"acc_norm_stderr\": 0.0362773057502241\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.7373737373737373,\n \"acc_stderr\": 0.03135305009533086,\n \"\ acc_norm\": 0.7373737373737373,\n \"acc_norm_stderr\": 0.03135305009533086\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.7772020725388601,\n \"acc_stderr\": 0.03003114797764154,\n\ \ \"acc_norm\": 0.7772020725388601,\n \"acc_norm_stderr\": 0.03003114797764154\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.5051282051282051,\n \"acc_stderr\": 0.02534967290683865,\n \ \ \"acc_norm\": 0.5051282051282051,\n \"acc_norm_stderr\": 0.02534967290683865\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.3037037037037037,\n \"acc_stderr\": 0.02803792996911499,\n \ \ \"acc_norm\": 0.3037037037037037,\n \"acc_norm_stderr\": 0.02803792996911499\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.5210084033613446,\n \"acc_stderr\": 0.03244980849990029,\n \ \ \"acc_norm\": 0.5210084033613446,\n \"acc_norm_stderr\": 0.03244980849990029\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.33112582781456956,\n \"acc_stderr\": 0.038425817186598696,\n \"\ acc_norm\": 0.33112582781456956,\n \"acc_norm_stderr\": 0.038425817186598696\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.7339449541284404,\n \"acc_stderr\": 0.0189460223222256,\n \"acc_norm\"\ : 0.7339449541284404,\n \"acc_norm_stderr\": 0.0189460223222256\n },\n\ \ \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\": 0.5370370370370371,\n\ \ \"acc_stderr\": 0.03400603625538272,\n \"acc_norm\": 0.5370370370370371,\n\ \ \"acc_norm_stderr\": 0.03400603625538272\n },\n \"harness\|hendrycksTest-high_school_us_history\|5\"\ : {\n \"acc\": 0.6911764705882353,\n \"acc_stderr\": 0.03242661719827218,\n\ \ \"acc_norm\": 0.6911764705882353,\n \"acc_norm_stderr\": 0.03242661719827218\n\ \ },\n \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"\ acc\": 0.729957805907173,\n \"acc_stderr\": 0.028900721906293426,\n \ \ \"acc_norm\": 0.729957805907173,\n \"acc_norm_stderr\": 0.028900721906293426\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.6322869955156951,\n\ \ \"acc_stderr\": 0.03236198350928276,\n \"acc_norm\": 0.6322869955156951,\n\ \ \"acc_norm_stderr\": 0.03236198350928276\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.6335877862595419,\n \"acc_stderr\": 0.04225875451969638,\n\ \ \"acc_norm\": 0.6335877862595419,\n \"acc_norm_stderr\": 0.04225875451969638\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.6776859504132231,\n \"acc_stderr\": 0.04266416363352168,\n \"\ acc_norm\": 0.6776859504132231,\n \"acc_norm_stderr\": 0.04266416363352168\n\ \ },\n \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.6203703703703703,\n\ \ \"acc_stderr\": 0.04691521224077742,\n \"acc_norm\": 0.6203703703703703,\n\ \ \"acc_norm_stderr\": 0.04691521224077742\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.6319018404907976,\n \"acc_stderr\": 0.03789213935838396,\n\ \ \"acc_norm\": 0.6319018404907976,\n \"acc_norm_stderr\": 0.03789213935838396\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.4732142857142857,\n\ \ \"acc_stderr\": 0.047389751192741546,\n \"acc_norm\": 0.4732142857142857,\n\ \ \"acc_norm_stderr\": 0.047389751192741546\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.7087378640776699,\n \"acc_stderr\": 0.044986763205729245,\n\ \ \"acc_norm\": 0.7087378640776699,\n \"acc_norm_stderr\": 0.044986763205729245\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.8333333333333334,\n\ \ \"acc_stderr\": 0.024414947304543674,\n \"acc_norm\": 0.8333333333333334,\n\ \ \"acc_norm_stderr\": 0.024414947304543674\n },\n \"harness\|hendrycksTest-medical_genetics\|5\"\ : {\n \"acc\": 0.59,\n \"acc_stderr\": 0.049431107042371025,\n \ \ \"acc_norm\": 0.59,\n \"acc_norm_stderr\": 0.049431107042371025\n \ \ },\n \"harness\|hendrycksTest-miscellaneous\|5\": {\n \"acc\": 0.7266922094508301,\n\ \ \"acc_stderr\": 0.015936681062628556,\n \"acc_norm\": 0.7266922094508301,\n\ \ \"acc_norm_stderr\": 0.015936681062628556\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.6069364161849711,\n \"acc_stderr\": 0.026296227915613663,\n\ \ \"acc_norm\": 0.6069364161849711,\n \"acc_norm_stderr\": 0.026296227915613663\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.2860335195530726,\n\ \ \"acc_stderr\": 0.015113972129062129,\n \"acc_norm\": 0.2860335195530726,\n\ \ \"acc_norm_stderr\": 0.015113972129062129\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.5849673202614379,\n \"acc_stderr\": 0.028213504177824093,\n\ \ \"acc_norm\": 0.5849673202614379,\n \"acc_norm_stderr\": 0.028213504177824093\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.6559485530546624,\n\ \ \"acc_stderr\": 0.026981478043648033,\n \"acc_norm\": 0.6559485530546624,\n\ \ \"acc_norm_stderr\": 0.026981478043648033\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.6111111111111112,\n \"acc_stderr\": 0.027125115513166844,\n\ \ \"acc_norm\": 0.6111111111111112,\n \"acc_norm_stderr\": 0.027125115513166844\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.4326241134751773,\n \"acc_stderr\": 0.02955545423677885,\n \ \ \"acc_norm\": 0.4326241134751773,\n \"acc_norm_stderr\": 0.02955545423677885\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.378748370273794,\n\ \ \"acc_stderr\": 0.012389052105003732,\n \"acc_norm\": 0.378748370273794,\n\ \ \"acc_norm_stderr\": 0.012389052105003732\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.5367647058823529,\n \"acc_stderr\": 0.030290619180485687,\n\ \ \"acc_norm\": 0.5367647058823529,\n \"acc_norm_stderr\": 0.030290619180485687\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.5571895424836601,\n \"acc_stderr\": 0.02009508315457735,\n \ \ \"acc_norm\": 0.5571895424836601,\n \"acc_norm_stderr\": 0.02009508315457735\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.6181818181818182,\n\ \ \"acc_stderr\": 0.04653429807913508,\n \"acc_norm\": 0.6181818181818182,\n\ \ \"acc_norm_stderr\": 0.04653429807913508\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.5346938775510204,\n \"acc_stderr\": 0.03193207024425314,\n\ \ \"acc_norm\": 0.5346938775510204,\n \"acc_norm_stderr\": 0.03193207024425314\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.7761194029850746,\n\ \ \"acc_stderr\": 0.0294752502360172,\n \"acc_norm\": 0.7761194029850746,\n\ \ \"acc_norm_stderr\": 0.0294752502360172\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.72,\n \"acc_stderr\": 0.04512608598542128,\n \ \ \"acc_norm\": 0.72,\n \"acc_norm_stderr\": 0.04512608598542128\n \ \ },\n \"harness\|hendrycksTest-virology\|5\": {\n \"acc\": 0.41566265060240964,\n\ \ \"acc_stderr\": 0.03836722176598052,\n \"acc_norm\": 0.41566265060240964,\n\ \ \"acc_norm_stderr\": 0.03836722176598052\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.7426900584795322,\n \"acc_stderr\": 0.03352799844161865,\n\ \ \"acc_norm\": 0.7426900584795322,\n \"acc_norm_stderr\": 0.03352799844161865\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.3292533659730722,\n\ \ \"mc1_stderr\": 0.016451264440068232,\n \"mc2\": 0.4779306640850261,\n\ \ \"mc2_stderr\": 0.015098925727831657\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.7371744277821626,\n \"acc_stderr\": 0.01237092252726201\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.3373768006065201,\n \ \ \"acc_stderr\": 0.013023665136222093\n }\n}\n```" repo_url: https://huggingface.co/lamhieu/ghost-7b-v0.9.0 leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: clementine@hf.co configs: - config_name: harness_arc_challenge_25 data_files: - split: 2024_02_01T17_50_44.669359 path: - '/details_harness\|arc:challenge\|25_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2024-02-01T17-50-44.669359.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '/details_harness\|gsm8k\|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_02_01T17_50_44.669359 path: - '/details_harness\|hellaswag\|10_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-02-01T17-50-44.669359.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '/details_harness\|hendrycksTest-international_law\|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '/details_harness\|hendrycksTest-management\|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '/details_harness\|hendrycksTest-marketing\|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '/details_harness\|hendrycksTest-sociology\|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '/details_harness\|hendrycksTest-virology\|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_02_01T17_50_44.669359 path: - '/details_harness\|truthfulqa:mc\|0_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2024-02-01T17-50-44.669359.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '/details_harness\|winogrande\|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2024-02-01T17-50-44.669359.parquet' - config_name: results data_files: - split: 2024_02_01T17_50_44.669359 path: - results_2024-02-01T17-50-44.669359.parquet - split: latest path: - results_2024-02-01T17-50-44.669359.parquet --- # Dataset Card for Evaluation run of lamhieu/ghost-7b-v0.9.0 <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [lamhieu/ghost-7b-v0.9.0](https://huggingface.co/lamhieu/ghost-7b-v0.9.0) 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_lamhieu__ghost-7b-v0.9.0", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-02-01T17:50:44.669359](https://huggingface.co/datasets/open-llm-leaderboard/details_lamhieu__ghost-7b-v0.9.0/blob/main/results_2024-02-01T17-50-44.669359.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": 0.5499871299235607, "acc_stderr": 0.03407586587227753, "acc_norm": 0.5544447274332273, "acc_norm_stderr": 0.03478665284686247, "mc1": 0.3292533659730722, "mc1_stderr": 0.016451264440068232, "mc2": 0.4779306640850261, "mc2_stderr": 0.015098925727831657 }, "harness\|arc:challenge\|25": { "acc": 0.49658703071672355, "acc_stderr": 0.014611050403244077, "acc_norm": 0.5307167235494881, "acc_norm_stderr": 0.014583792546304037 }, "harness\|hellaswag\|10": { "acc": 0.5758812985461064, "acc_stderr": 0.004931984642695341, "acc_norm": 0.7793268273252341, "acc_norm_stderr": 0.004138529919075824 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.26, "acc_stderr": 0.04408440022768081, "acc_norm": 0.26, "acc_norm_stderr": 0.04408440022768081 }, "harness\|hendrycksTest-anatomy\|5": { "acc": 0.4962962962962963, "acc_stderr": 0.04319223625811331, "acc_norm": 0.4962962962962963, "acc_norm_stderr": 0.04319223625811331 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.5263157894736842, "acc_stderr": 0.04063302731486671, "acc_norm": 0.5263157894736842, "acc_norm_stderr": 0.04063302731486671 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.55, "acc_stderr": 0.05, "acc_norm": 0.55, "acc_norm_stderr": 0.05 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.630188679245283, "acc_stderr": 0.029711421880107933, "acc_norm": 0.630188679245283, "acc_norm_stderr": 0.029711421880107933 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.5625, "acc_stderr": 0.04148415739394154, "acc_norm": 0.5625, "acc_norm_stderr": 0.04148415739394154 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.44, "acc_stderr": 0.04988876515698589, "acc_norm": 0.44, "acc_norm_stderr": 0.04988876515698589 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.47, "acc_stderr": 0.05016135580465919, "acc_norm": 0.47, "acc_norm_stderr": 0.05016135580465919 }, "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": 0.5722543352601156, "acc_stderr": 0.037724468575180276, "acc_norm": 0.5722543352601156, "acc_norm_stderr": 0.037724468575180276 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.29411764705882354, "acc_stderr": 0.04533838195929776, "acc_norm": 0.29411764705882354, "acc_norm_stderr": 0.04533838195929776 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.67, "acc_stderr": 0.04725815626252607, "acc_norm": 0.67, "acc_norm_stderr": 0.04725815626252607 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.4425531914893617, "acc_stderr": 0.03246956919789958, "acc_norm": 0.4425531914893617, "acc_norm_stderr": 0.03246956919789958 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.40350877192982454, "acc_stderr": 0.046151869625837026, "acc_norm": 0.40350877192982454, "acc_norm_stderr": 0.046151869625837026 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.5172413793103449, "acc_stderr": 0.04164188720169375, "acc_norm": 0.5172413793103449, "acc_norm_stderr": 0.04164188720169375 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.3386243386243386, "acc_stderr": 0.024373197867983046, "acc_norm": 0.3386243386243386, "acc_norm_stderr": 0.024373197867983046 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.36507936507936506, "acc_stderr": 0.04306241259127153, "acc_norm": 0.36507936507936506, "acc_norm_stderr": 0.04306241259127153 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.33, "acc_stderr": 0.04725815626252605, "acc_norm": 0.33, "acc_norm_stderr": 0.04725815626252605 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.6612903225806451, "acc_stderr": 0.02692344605930284, "acc_norm": 0.6612903225806451, "acc_norm_stderr": 0.02692344605930284 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.3842364532019704, "acc_stderr": 0.0342239856565755, "acc_norm": 0.3842364532019704, "acc_norm_stderr": 0.0342239856565755 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.61, "acc_stderr": 0.04902071300001974, "acc_norm": 0.61, "acc_norm_stderr": 0.04902071300001974 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.6848484848484848, "acc_stderr": 0.0362773057502241, "acc_norm": 0.6848484848484848, "acc_norm_stderr": 0.0362773057502241 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.7373737373737373, "acc_stderr": 0.03135305009533086, "acc_norm": 0.7373737373737373, "acc_norm_stderr": 0.03135305009533086 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.7772020725388601, "acc_stderr": 0.03003114797764154, "acc_norm": 0.7772020725388601, "acc_norm_stderr": 0.03003114797764154 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.5051282051282051, "acc_stderr": 0.02534967290683865, "acc_norm": 0.5051282051282051, "acc_norm_stderr": 0.02534967290683865 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.3037037037037037, "acc_stderr": 0.02803792996911499, "acc_norm": 0.3037037037037037, "acc_norm_stderr": 0.02803792996911499 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.5210084033613446, "acc_stderr": 0.03244980849990029, "acc_norm": 0.5210084033613446, "acc_norm_stderr": 0.03244980849990029 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.33112582781456956, "acc_stderr": 0.038425817186598696, "acc_norm": 0.33112582781456956, "acc_norm_stderr": 0.038425817186598696 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.7339449541284404, "acc_stderr": 0.0189460223222256, "acc_norm": 0.7339449541284404, "acc_norm_stderr": 0.0189460223222256 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.5370370370370371, "acc_stderr": 0.03400603625538272, "acc_norm": 0.5370370370370371, "acc_norm_stderr": 0.03400603625538272 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.6911764705882353, "acc_stderr": 0.03242661719827218, "acc_norm": 0.6911764705882353, "acc_norm_stderr": 0.03242661719827218 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.729957805907173, "acc_stderr": 0.028900721906293426, "acc_norm": 0.729957805907173, "acc_norm_stderr": 0.028900721906293426 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.6322869955156951, "acc_stderr": 0.03236198350928276, "acc_norm": 0.6322869955156951, "acc_norm_stderr": 0.03236198350928276 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.6335877862595419, "acc_stderr": 0.04225875451969638, "acc_norm": 0.6335877862595419, "acc_norm_stderr": 0.04225875451969638 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.6776859504132231, "acc_stderr": 0.04266416363352168, "acc_norm": 0.6776859504132231, "acc_norm_stderr": 0.04266416363352168 }, "harness\|hendrycksTest-jurisprudence\|5": { "acc": 0.6203703703703703, "acc_stderr": 0.04691521224077742, "acc_norm": 0.6203703703703703, "acc_norm_stderr": 0.04691521224077742 }, "harness\|hendrycksTest-logical_fallacies\|5": { "acc": 0.6319018404907976, "acc_stderr": 0.03789213935838396, "acc_norm": 0.6319018404907976, "acc_norm_stderr": 0.03789213935838396 }, "harness\|hendrycksTest-machine_learning\|5": { "acc": 0.4732142857142857, "acc_stderr": 0.047389751192741546, "acc_norm": 0.4732142857142857, "acc_norm_stderr": 0.047389751192741546 }, "harness\|hendrycksTest-management\|5": { "acc": 0.7087378640776699, "acc_stderr": 0.044986763205729245, "acc_norm": 0.7087378640776699, "acc_norm_stderr": 0.044986763205729245 }, "harness\|hendrycksTest-marketing\|5": { "acc": 0.8333333333333334, "acc_stderr": 0.024414947304543674, "acc_norm": 0.8333333333333334, "acc_norm_stderr": 0.024414947304543674 }, "harness\|hendrycksTest-medical_genetics\|5": { "acc": 0.59, "acc_stderr": 0.049431107042371025, "acc_norm": 0.59, "acc_norm_stderr": 0.049431107042371025 }, "harness\|hendrycksTest-miscellaneous\|5": { "acc": 0.7266922094508301, "acc_stderr": 0.015936681062628556, "acc_norm": 0.7266922094508301, "acc_norm_stderr": 0.015936681062628556 }, "harness\|hendrycksTest-moral_disputes\|5": { "acc": 0.6069364161849711, "acc_stderr": 0.026296227915613663, "acc_norm": 0.6069364161849711, "acc_norm_stderr": 0.026296227915613663 }, "harness\|hendrycksTest-moral_scenarios\|5": { "acc": 0.2860335195530726, "acc_stderr": 0.015113972129062129, "acc_norm": 0.2860335195530726, "acc_norm_stderr": 0.015113972129062129 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.5849673202614379, "acc_stderr": 0.028213504177824093, "acc_norm": 0.5849673202614379, "acc_norm_stderr": 0.028213504177824093 }, "harness\|hendrycksTest-philosophy\|5": { "acc": 0.6559485530546624, "acc_stderr": 0.026981478043648033, "acc_norm": 0.6559485530546624, "acc_norm_stderr": 0.026981478043648033 }, "harness\|hendrycksTest-prehistory\|5": { "acc": 0.6111111111111112, "acc_stderr": 0.027125115513166844, "acc_norm": 0.6111111111111112, "acc_norm_stderr": 0.027125115513166844 }, "harness\|hendrycksTest-professional_accounting\|5": { "acc": 0.4326241134751773, "acc_stderr": 0.02955545423677885, "acc_norm": 0.4326241134751773, "acc_norm_stderr": 0.02955545423677885 }, "harness\|hendrycksTest-professional_law\|5": { "acc": 0.378748370273794, "acc_stderr": 0.012389052105003732, "acc_norm": 0.378748370273794, "acc_norm_stderr": 0.012389052105003732 }, "harness\|hendrycksTest-professional_medicine\|5": { "acc": 0.5367647058823529, "acc_stderr": 0.030290619180485687, "acc_norm": 0.5367647058823529, "acc_norm_stderr": 0.030290619180485687 }, "harness\|hendrycksTest-professional_psychology\|5": { "acc": 0.5571895424836601, "acc_stderr": 0.02009508315457735, "acc_norm": 0.5571895424836601, "acc_norm_stderr": 0.02009508315457735 }, "harness\|hendrycksTest-public_relations\|5": { "acc": 0.6181818181818182, "acc_stderr": 0.04653429807913508, "acc_norm": 0.6181818181818182, "acc_norm_stderr": 0.04653429807913508 }, "harness\|hendrycksTest-security_studies\|5": { "acc": 0.5346938775510204, "acc_stderr": 0.03193207024425314, "acc_norm": 0.5346938775510204, "acc_norm_stderr": 0.03193207024425314 }, "harness\|hendrycksTest-sociology\|5": { "acc": 0.7761194029850746, "acc_stderr": 0.0294752502360172, "acc_norm": 0.7761194029850746, "acc_norm_stderr": 0.0294752502360172 }, "harness\|hendrycksTest-us_foreign_policy\|5": { "acc": 0.72, "acc_stderr": 0.04512608598542128, "acc_norm": 0.72, "acc_norm_stderr": 0.04512608598542128 }, "harness\|hendrycksTest-virology\|5": { "acc": 0.41566265060240964, "acc_stderr": 0.03836722176598052, "acc_norm": 0.41566265060240964, "acc_norm_stderr": 0.03836722176598052 }, "harness\|hendrycksTest-world_religions\|5": { "acc": 0.7426900584795322, "acc_stderr": 0.03352799844161865, "acc_norm": 0.7426900584795322, "acc_norm_stderr": 0.03352799844161865 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.3292533659730722, "mc1_stderr": 0.016451264440068232, "mc2": 0.4779306640850261, "mc2_stderr": 0.015098925727831657 }, "harness\|winogrande\|5": { "acc": 0.7371744277821626, "acc_stderr": 0.01237092252726201 }, "harness\|gsm8k\|5": { "acc": 0.3373768006065201, "acc_stderr": 0.013023665136222093 } } ``` ## 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]
AquaV/mil-docs	--- language: - en --- ## What is this? A curated selection of manuals and documents from the US military and other departments. All data was manually scraped from publicly available sources. The PDF's and EPUB files were converted to markdown using the amazing [Marker github repository](https://github.com/VikParuchuri/marker) by Vik Paruchuri. ### Sources: - [United States Army Central Army Repository](https://rdl.train.army.mil/) - [Marines Publications](https://www.marines.mil/News/Publications) - [Federation of American Scientists Intelligence Resource Program](https://irp.fas.org/doddir/index.html)
open-llm-leaderboard/details_xzuyn__LLaMa-2-PeanutButter_v4-7B	--- pretty_name: Evaluation run of xzuyn/LLaMa-2-PeanutButter_v4-7B dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [xzuyn/LLaMa-2-PeanutButter_v4-7B](https://huggingface.co/xzuyn/LLaMa-2-PeanutButter_v4-7B)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 61 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 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_xzuyn__LLaMa-2-PeanutButter_v4-7B\"\ ,\n\t\"harness_truthfulqa_mc_0\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\ \nThese are the [latest results from run 2023-08-29T15:15:59.631802](https://huggingface.co/datasets/open-llm-leaderboard/details_xzuyn__LLaMa-2-PeanutButter_v4-7B/blob/main/results_2023-08-29T15%3A15%3A59.631802.json):\n\ \n```python\n{\n \"all\": {\n \"acc\": 0.4754535953456773,\n \"\ acc_stderr\": 0.03543074449128995,\n \"acc_norm\": 0.4793512530654778,\n\ \ \"acc_norm_stderr\": 0.03541409593269912,\n \"mc1\": 0.26805385556915545,\n\ \ \"mc1_stderr\": 0.015506204722834557,\n \"mc2\": 0.42310904021377665,\n\ \ \"mc2_stderr\": 0.015624011969941223\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.507679180887372,\n \"acc_stderr\": 0.014609667440892567,\n\ \ \"acc_norm\": 0.5486348122866894,\n \"acc_norm_stderr\": 0.014542104569955265\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.6188010356502689,\n\ \ \"acc_stderr\": 0.004846886929763466,\n \"acc_norm\": 0.8078072097191794,\n\ \ \"acc_norm_stderr\": 0.003932184843841659\n },\n \"harness\|hendrycksTest-abstract_algebra\|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-anatomy\|5\": {\n \"acc\": 0.45925925925925926,\n\ \ \"acc_stderr\": 0.04304979692464243,\n \"acc_norm\": 0.45925925925925926,\n\ \ \"acc_norm_stderr\": 0.04304979692464243\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.4276315789473684,\n \"acc_stderr\": 0.040260970832965585,\n\ \ \"acc_norm\": 0.4276315789473684,\n \"acc_norm_stderr\": 0.040260970832965585\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|5\": {\n \"acc\": 0.47,\n\ \ \"acc_stderr\": 0.050161355804659205,\n \"acc_norm\": 0.47,\n \ \ \"acc_norm_stderr\": 0.050161355804659205\n },\n \"harness\|hendrycksTest-clinical_knowledge\|5\"\ : {\n \"acc\": 0.4867924528301887,\n \"acc_stderr\": 0.030762134874500482,\n\ \ \"acc_norm\": 0.4867924528301887,\n \"acc_norm_stderr\": 0.030762134874500482\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.5,\n\ \ \"acc_stderr\": 0.04181210050035455,\n \"acc_norm\": 0.5,\n \ \ \"acc_norm_stderr\": 0.04181210050035455\n },\n \"harness\|hendrycksTest-college_chemistry\|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_computer_science\|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_mathematics\|5\"\ : {\n \"acc\": 0.35,\n \"acc_stderr\": 0.0479372485441102,\n \ \ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.0479372485441102\n },\n\ \ \"harness\|hendrycksTest-college_medicine\|5\": {\n \"acc\": 0.43352601156069365,\n\ \ \"acc_stderr\": 0.03778621079092056,\n \"acc_norm\": 0.43352601156069365,\n\ \ \"acc_norm_stderr\": 0.03778621079092056\n },\n \"harness\|hendrycksTest-college_physics\|5\"\ : {\n \"acc\": 0.20588235294117646,\n \"acc_stderr\": 0.04023382273617747,\n\ \ \"acc_norm\": 0.20588235294117646,\n \"acc_norm_stderr\": 0.04023382273617747\n\ \ },\n \"harness\|hendrycksTest-computer_security\|5\": {\n \"acc\":\ \ 0.58,\n \"acc_stderr\": 0.04960449637488583,\n \"acc_norm\": 0.58,\n\ \ \"acc_norm_stderr\": 0.04960449637488583\n },\n \"harness\|hendrycksTest-conceptual_physics\|5\"\ : {\n \"acc\": 0.42127659574468085,\n \"acc_stderr\": 0.03227834510146267,\n\ \ \"acc_norm\": 0.42127659574468085,\n \"acc_norm_stderr\": 0.03227834510146267\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\": 0.4482758620689655,\n \"acc_stderr\": 0.041443118108781506,\n\ \ \"acc_norm\": 0.4482758620689655,\n \"acc_norm_stderr\": 0.041443118108781506\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.30158730158730157,\n \"acc_stderr\": 0.023636975996101796,\n \"\ acc_norm\": 0.30158730158730157,\n \"acc_norm_stderr\": 0.023636975996101796\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.29365079365079366,\n\ \ \"acc_stderr\": 0.04073524322147126,\n \"acc_norm\": 0.29365079365079366,\n\ \ \"acc_norm_stderr\": 0.04073524322147126\n },\n \"harness\|hendrycksTest-global_facts\|5\"\ : {\n \"acc\": 0.31,\n \"acc_stderr\": 0.04648231987117316,\n \ \ \"acc_norm\": 0.31,\n \"acc_norm_stderr\": 0.04648231987117316\n \ \ },\n \"harness\|hendrycksTest-high_school_biology\|5\": {\n \"acc\": 0.5032258064516129,\n\ \ \"acc_stderr\": 0.028443414226438316,\n \"acc_norm\": 0.5032258064516129,\n\ \ \"acc_norm_stderr\": 0.028443414226438316\n },\n \"harness\|hendrycksTest-high_school_chemistry\|5\"\ : {\n \"acc\": 0.3694581280788177,\n \"acc_stderr\": 0.03395970381998573,\n\ \ \"acc_norm\": 0.3694581280788177,\n \"acc_norm_stderr\": 0.03395970381998573\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|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-high_school_european_history\|5\"\ : {\n \"acc\": 0.6242424242424243,\n \"acc_stderr\": 0.03781887353205982,\n\ \ \"acc_norm\": 0.6242424242424243,\n \"acc_norm_stderr\": 0.03781887353205982\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.5909090909090909,\n \"acc_stderr\": 0.03502975799413007,\n \"\ acc_norm\": 0.5909090909090909,\n \"acc_norm_stderr\": 0.03502975799413007\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.7202072538860104,\n \"acc_stderr\": 0.032396370467357036,\n\ \ \"acc_norm\": 0.7202072538860104,\n \"acc_norm_stderr\": 0.032396370467357036\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.4666666666666667,\n \"acc_stderr\": 0.025294608023986476,\n\ \ \"acc_norm\": 0.4666666666666667,\n \"acc_norm_stderr\": 0.025294608023986476\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.2814814814814815,\n \"acc_stderr\": 0.027420019350945287,\n \ \ \"acc_norm\": 0.2814814814814815,\n \"acc_norm_stderr\": 0.027420019350945287\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.4579831932773109,\n \"acc_stderr\": 0.03236361111951941,\n \ \ \"acc_norm\": 0.4579831932773109,\n \"acc_norm_stderr\": 0.03236361111951941\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.3576158940397351,\n \"acc_stderr\": 0.03913453431177258,\n \"\ acc_norm\": 0.3576158940397351,\n \"acc_norm_stderr\": 0.03913453431177258\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.6385321100917432,\n \"acc_stderr\": 0.020598082009937374,\n \"\ acc_norm\": 0.6385321100917432,\n \"acc_norm_stderr\": 0.020598082009937374\n\ \ },\n \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\"\ : 0.375,\n \"acc_stderr\": 0.033016908987210894,\n \"acc_norm\": 0.375,\n\ \ \"acc_norm_stderr\": 0.033016908987210894\n },\n \"harness\|hendrycksTest-high_school_us_history\|5\"\ : {\n \"acc\": 0.5686274509803921,\n \"acc_stderr\": 0.03476099060501636,\n\ \ \"acc_norm\": 0.5686274509803921,\n \"acc_norm_stderr\": 0.03476099060501636\n\ \ },\n \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"\ acc\": 0.5949367088607594,\n \"acc_stderr\": 0.03195514741370671,\n \ \ \"acc_norm\": 0.5949367088607594,\n \"acc_norm_stderr\": 0.03195514741370671\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.5381165919282511,\n\ \ \"acc_stderr\": 0.03346015011973228,\n \"acc_norm\": 0.5381165919282511,\n\ \ \"acc_norm_stderr\": 0.03346015011973228\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.5114503816793893,\n \"acc_stderr\": 0.043841400240780176,\n\ \ \"acc_norm\": 0.5114503816793893,\n \"acc_norm_stderr\": 0.043841400240780176\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.5619834710743802,\n \"acc_stderr\": 0.04529146804435792,\n \"\ acc_norm\": 0.5619834710743802,\n \"acc_norm_stderr\": 0.04529146804435792\n\ \ },\n \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.4722222222222222,\n\ \ \"acc_stderr\": 0.04826217294139894,\n \"acc_norm\": 0.4722222222222222,\n\ \ \"acc_norm_stderr\": 0.04826217294139894\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.49693251533742333,\n \"acc_stderr\": 0.03928297078179663,\n\ \ \"acc_norm\": 0.49693251533742333,\n \"acc_norm_stderr\": 0.03928297078179663\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\": 0.6019417475728155,\n \"acc_stderr\": 0.04846748253977239,\n\ \ \"acc_norm\": 0.6019417475728155,\n \"acc_norm_stderr\": 0.04846748253977239\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.688034188034188,\n\ \ \"acc_stderr\": 0.030351527323344948,\n \"acc_norm\": 0.688034188034188,\n\ \ \"acc_norm_stderr\": 0.030351527323344948\n },\n \"harness\|hendrycksTest-medical_genetics\|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-miscellaneous\|5\": {\n \"acc\": 0.6155810983397191,\n\ \ \"acc_stderr\": 0.01739568874281962,\n \"acc_norm\": 0.6155810983397191,\n\ \ \"acc_norm_stderr\": 0.01739568874281962\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.476878612716763,\n \"acc_stderr\": 0.026890297881303128,\n\ \ \"acc_norm\": 0.476878612716763,\n \"acc_norm_stderr\": 0.026890297881303128\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.2994413407821229,\n\ \ \"acc_stderr\": 0.015318257745976708,\n \"acc_norm\": 0.2994413407821229,\n\ \ \"acc_norm_stderr\": 0.015318257745976708\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.5261437908496732,\n \"acc_stderr\": 0.028590752958852387,\n\ \ \"acc_norm\": 0.5261437908496732,\n \"acc_norm_stderr\": 0.028590752958852387\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.5787781350482315,\n\ \ \"acc_stderr\": 0.02804339985821063,\n \"acc_norm\": 0.5787781350482315,\n\ \ \"acc_norm_stderr\": 0.02804339985821063\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.5061728395061729,\n \"acc_stderr\": 0.027818623962583295,\n\ \ \"acc_norm\": 0.5061728395061729,\n \"acc_norm_stderr\": 0.027818623962583295\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.3723404255319149,\n \"acc_stderr\": 0.02883892147125146,\n \ \ \"acc_norm\": 0.3723404255319149,\n \"acc_norm_stderr\": 0.02883892147125146\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.36766623207301175,\n\ \ \"acc_stderr\": 0.012314845910071691,\n \"acc_norm\": 0.36766623207301175,\n\ \ \"acc_norm_stderr\": 0.012314845910071691\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.5367647058823529,\n \"acc_stderr\": 0.030290619180485694,\n\ \ \"acc_norm\": 0.5367647058823529,\n \"acc_norm_stderr\": 0.030290619180485694\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.434640522875817,\n \"acc_stderr\": 0.02005426920072646,\n \ \ \"acc_norm\": 0.434640522875817,\n \"acc_norm_stderr\": 0.02005426920072646\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.509090909090909,\n\ \ \"acc_stderr\": 0.04788339768702861,\n \"acc_norm\": 0.509090909090909,\n\ \ \"acc_norm_stderr\": 0.04788339768702861\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.4897959183673469,\n \"acc_stderr\": 0.03200255347893783,\n\ \ \"acc_norm\": 0.4897959183673469,\n \"acc_norm_stderr\": 0.03200255347893783\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.6169154228855721,\n\ \ \"acc_stderr\": 0.0343751933733825,\n \"acc_norm\": 0.6169154228855721,\n\ \ \"acc_norm_stderr\": 0.0343751933733825\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.68,\n \"acc_stderr\": 0.04688261722621504,\n \ \ \"acc_norm\": 0.68,\n \"acc_norm_stderr\": 0.04688261722621504\n \ \ },\n \"harness\|hendrycksTest-virology\|5\": {\n \"acc\": 0.42168674698795183,\n\ \ \"acc_stderr\": 0.03844453181770917,\n \"acc_norm\": 0.42168674698795183,\n\ \ \"acc_norm_stderr\": 0.03844453181770917\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.7076023391812866,\n \"acc_stderr\": 0.03488647713457923,\n\ \ \"acc_norm\": 0.7076023391812866,\n \"acc_norm_stderr\": 0.03488647713457923\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.26805385556915545,\n\ \ \"mc1_stderr\": 0.015506204722834557,\n \"mc2\": 0.42310904021377665,\n\ \ \"mc2_stderr\": 0.015624011969941223\n }\n}\n```" repo_url: https://huggingface.co/xzuyn/LLaMa-2-PeanutButter_v4-7B 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_29T15_15_59.631802 path: - '/details_harness\|arc:challenge\|25_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_08_29T15_15_59.631802 path: - '/details_harness\|hellaswag\|10_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest data_files: - split: 2023_08_29T15_15_59.631802 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-08-29T15:15:59.631802.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '/details_harness\|hendrycksTest-management\|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '/details_harness\|hendrycksTest-virology\|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_08_29T15_15_59.631802 path: - '/details_harness\|truthfulqa:mc\|0_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-08-29T15:15:59.631802.parquet' - config_name: results data_files: - split: 2023_08_29T15_15_59.631802 path: - results_2023-08-29T15:15:59.631802.parquet - split: latest path: - results_2023-08-29T15:15:59.631802.parquet --- # Dataset Card for Evaluation run of xzuyn/LLaMa-2-PeanutButter_v4-7B ## Dataset Description - Homepage: - Repository: https://huggingface.co/xzuyn/LLaMa-2-PeanutButter_v4-7B - 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 [xzuyn/LLaMa-2-PeanutButter_v4-7B](https://huggingface.co/xzuyn/LLaMa-2-PeanutButter_v4-7B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 61 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 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_xzuyn__LLaMa-2-PeanutButter_v4-7B", "harness_truthfulqa_mc_0", split="train") ``` ## Latest results These are the [latest results from run 2023-08-29T15:15:59.631802](https://huggingface.co/datasets/open-llm-leaderboard/details_xzuyn__LLaMa-2-PeanutButter_v4-7B/blob/main/results_2023-08-29T15%3A15%3A59.631802.json): ```python { "all": { "acc": 0.4754535953456773, "acc_stderr": 0.03543074449128995, "acc_norm": 0.4793512530654778, "acc_norm_stderr": 0.03541409593269912, "mc1": 0.26805385556915545, "mc1_stderr": 0.015506204722834557, "mc2": 0.42310904021377665, "mc2_stderr": 0.015624011969941223 }, "harness\|arc:challenge\|25": { "acc": 0.507679180887372, "acc_stderr": 0.014609667440892567, "acc_norm": 0.5486348122866894, "acc_norm_stderr": 0.014542104569955265 }, "harness\|hellaswag\|10": { "acc": 0.6188010356502689, "acc_stderr": 0.004846886929763466, "acc_norm": 0.8078072097191794, "acc_norm_stderr": 0.003932184843841659 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.31, "acc_stderr": 0.046482319871173156, "acc_norm": 0.31, "acc_norm_stderr": 0.046482319871173156 }, "harness\|hendrycksTest-anatomy\|5": { "acc": 0.45925925925925926, "acc_stderr": 0.04304979692464243, "acc_norm": 0.45925925925925926, "acc_norm_stderr": 0.04304979692464243 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.4276315789473684, "acc_stderr": 0.040260970832965585, "acc_norm": 0.4276315789473684, "acc_norm_stderr": 0.040260970832965585 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.47, "acc_stderr": 0.050161355804659205, "acc_norm": 0.47, "acc_norm_stderr": 0.050161355804659205 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.4867924528301887, "acc_stderr": 0.030762134874500482, "acc_norm": 0.4867924528301887, "acc_norm_stderr": 0.030762134874500482 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.5, "acc_stderr": 0.04181210050035455, "acc_norm": 0.5, "acc_norm_stderr": 0.04181210050035455 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.35, "acc_stderr": 0.047937248544110196, "acc_norm": 0.35, "acc_norm_stderr": 0.047937248544110196 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.39, "acc_stderr": 0.04902071300001975, "acc_norm": 0.39, "acc_norm_stderr": 0.04902071300001975 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.35, "acc_stderr": 0.0479372485441102, "acc_norm": 0.35, "acc_norm_stderr": 0.0479372485441102 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.43352601156069365, "acc_stderr": 0.03778621079092056, "acc_norm": 0.43352601156069365, "acc_norm_stderr": 0.03778621079092056 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.20588235294117646, "acc_stderr": 0.04023382273617747, "acc_norm": 0.20588235294117646, "acc_norm_stderr": 0.04023382273617747 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.58, "acc_stderr": 0.04960449637488583, "acc_norm": 0.58, "acc_norm_stderr": 0.04960449637488583 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.42127659574468085, "acc_stderr": 0.03227834510146267, "acc_norm": 0.42127659574468085, "acc_norm_stderr": 0.03227834510146267 }, "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": 0.4482758620689655, "acc_stderr": 0.041443118108781506, "acc_norm": 0.4482758620689655, "acc_norm_stderr": 0.041443118108781506 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.30158730158730157, "acc_stderr": 0.023636975996101796, "acc_norm": 0.30158730158730157, "acc_norm_stderr": 0.023636975996101796 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.29365079365079366, "acc_stderr": 0.04073524322147126, "acc_norm": 0.29365079365079366, "acc_norm_stderr": 0.04073524322147126 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.5032258064516129, "acc_stderr": 0.028443414226438316, "acc_norm": 0.5032258064516129, "acc_norm_stderr": 0.028443414226438316 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.3694581280788177, "acc_stderr": 0.03395970381998573, "acc_norm": 0.3694581280788177, "acc_norm_stderr": 0.03395970381998573 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.42, "acc_stderr": 0.049604496374885836, "acc_norm": 0.42, "acc_norm_stderr": 0.049604496374885836 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.6242424242424243, "acc_stderr": 0.03781887353205982, "acc_norm": 0.6242424242424243, "acc_norm_stderr": 0.03781887353205982 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.5909090909090909, "acc_stderr": 0.03502975799413007, "acc_norm": 0.5909090909090909, "acc_norm_stderr": 0.03502975799413007 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.7202072538860104, "acc_stderr": 0.032396370467357036, "acc_norm": 0.7202072538860104, "acc_norm_stderr": 0.032396370467357036 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.4666666666666667, "acc_stderr": 0.025294608023986476, "acc_norm": 0.4666666666666667, "acc_norm_stderr": 0.025294608023986476 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.2814814814814815, "acc_stderr": 0.027420019350945287, "acc_norm": 0.2814814814814815, "acc_norm_stderr": 0.027420019350945287 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.4579831932773109, "acc_stderr": 0.03236361111951941, "acc_norm": 0.4579831932773109, "acc_norm_stderr": 0.03236361111951941 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.3576158940397351, "acc_stderr": 0.03913453431177258, "acc_norm": 0.3576158940397351, "acc_norm_stderr": 0.03913453431177258 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.6385321100917432, "acc_stderr": 0.020598082009937374, "acc_norm": 0.6385321100917432, "acc_norm_stderr": 0.020598082009937374 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.375, "acc_stderr": 0.033016908987210894, "acc_norm": 0.375, "acc_norm_stderr": 0.033016908987210894 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.5686274509803921, "acc_stderr": 0.03476099060501636, "acc_norm": 0.5686274509803921, "acc_norm_stderr": 0.03476099060501636 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.5949367088607594, "acc_stderr": 0.03195514741370671, "acc_norm": 0.5949367088607594, "acc_norm_stderr": 0.03195514741370671 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.5381165919282511, "acc_stderr": 0.03346015011973228, "acc_norm": 0.5381165919282511, "acc_norm_stderr": 0.03346015011973228 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.5114503816793893, "acc_stderr": 0.043841400240780176, "acc_norm": 0.5114503816793893, "acc_norm_stderr": 0.043841400240780176 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.5619834710743802, "acc_stderr": 0.04529146804435792, "acc_norm": 0.5619834710743802, "acc_norm_stderr": 0.04529146804435792 }, "harness\|hendrycksTest-jurisprudence\|5": { "acc": 0.4722222222222222, "acc_stderr": 0.04826217294139894, "acc_norm": 0.4722222222222222, "acc_norm_stderr": 0.04826217294139894 }, "harness\|hendrycksTest-logical_fallacies\|5": { "acc": 0.49693251533742333, "acc_stderr": 0.03928297078179663, "acc_norm": 0.49693251533742333, "acc_norm_stderr": 0.03928297078179663 }, "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": 0.6019417475728155, "acc_stderr": 0.04846748253977239, "acc_norm": 0.6019417475728155, "acc_norm_stderr": 0.04846748253977239 }, "harness\|hendrycksTest-marketing\|5": { "acc": 0.688034188034188, "acc_stderr": 0.030351527323344948, "acc_norm": 0.688034188034188, "acc_norm_stderr": 0.030351527323344948 }, "harness\|hendrycksTest-medical_genetics\|5": { "acc": 0.5, "acc_stderr": 0.050251890762960605, "acc_norm": 0.5, "acc_norm_stderr": 0.050251890762960605 }, "harness\|hendrycksTest-miscellaneous\|5": { "acc": 0.6155810983397191, "acc_stderr": 0.01739568874281962, "acc_norm": 0.6155810983397191, "acc_norm_stderr": 0.01739568874281962 }, "harness\|hendrycksTest-moral_disputes\|5": { "acc": 0.476878612716763, "acc_stderr": 0.026890297881303128, "acc_norm": 0.476878612716763, "acc_norm_stderr": 0.026890297881303128 }, "harness\|hendrycksTest-moral_scenarios\|5": { "acc": 0.2994413407821229, "acc_stderr": 0.015318257745976708, "acc_norm": 0.2994413407821229, "acc_norm_stderr": 0.015318257745976708 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.5261437908496732, "acc_stderr": 0.028590752958852387, "acc_norm": 0.5261437908496732, "acc_norm_stderr": 0.028590752958852387 }, "harness\|hendrycksTest-philosophy\|5": { "acc": 0.5787781350482315, "acc_stderr": 0.02804339985821063, "acc_norm": 0.5787781350482315, "acc_norm_stderr": 0.02804339985821063 }, "harness\|hendrycksTest-prehistory\|5": { "acc": 0.5061728395061729, "acc_stderr": 0.027818623962583295, "acc_norm": 0.5061728395061729, "acc_norm_stderr": 0.027818623962583295 }, "harness\|hendrycksTest-professional_accounting\|5": { "acc": 0.3723404255319149, "acc_stderr": 0.02883892147125146, "acc_norm": 0.3723404255319149, "acc_norm_stderr": 0.02883892147125146 }, "harness\|hendrycksTest-professional_law\|5": { "acc": 0.36766623207301175, "acc_stderr": 0.012314845910071691, "acc_norm": 0.36766623207301175, "acc_norm_stderr": 0.012314845910071691 }, "harness\|hendrycksTest-professional_medicine\|5": { "acc": 0.5367647058823529, "acc_stderr": 0.030290619180485694, "acc_norm": 0.5367647058823529, "acc_norm_stderr": 0.030290619180485694 }, "harness\|hendrycksTest-professional_psychology\|5": { "acc": 0.434640522875817, "acc_stderr": 0.02005426920072646, "acc_norm": 0.434640522875817, "acc_norm_stderr": 0.02005426920072646 }, "harness\|hendrycksTest-public_relations\|5": { "acc": 0.509090909090909, "acc_stderr": 0.04788339768702861, "acc_norm": 0.509090909090909, "acc_norm_stderr": 0.04788339768702861 }, "harness\|hendrycksTest-security_studies\|5": { "acc": 0.4897959183673469, "acc_stderr": 0.03200255347893783, "acc_norm": 0.4897959183673469, "acc_norm_stderr": 0.03200255347893783 }, "harness\|hendrycksTest-sociology\|5": { "acc": 0.6169154228855721, "acc_stderr": 0.0343751933733825, "acc_norm": 0.6169154228855721, "acc_norm_stderr": 0.0343751933733825 }, "harness\|hendrycksTest-us_foreign_policy\|5": { "acc": 0.68, "acc_stderr": 0.04688261722621504, "acc_norm": 0.68, "acc_norm_stderr": 0.04688261722621504 }, "harness\|hendrycksTest-virology\|5": { "acc": 0.42168674698795183, "acc_stderr": 0.03844453181770917, "acc_norm": 0.42168674698795183, "acc_norm_stderr": 0.03844453181770917 }, "harness\|hendrycksTest-world_religions\|5": { "acc": 0.7076023391812866, "acc_stderr": 0.03488647713457923, "acc_norm": 0.7076023391812866, "acc_norm_stderr": 0.03488647713457923 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.26805385556915545, "mc1_stderr": 0.015506204722834557, "mc2": 0.42310904021377665, "mc2_stderr": 0.015624011969941223 } } ``` ### 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]
skeskinen/books3_lowgrade_paragraphs	--- dataset_info: features: - name: text dtype: string - name: book dtype: string - name: pos dtype: float64 - name: smog_index dtype: float64 splits: - name: train num_bytes: 6426499179 num_examples: 29542059 download_size: 3274999825 dataset_size: 6426499179 --- # Dataset Card for "books3_lowgrade_paragraphs" the_pile books3, books with smog grade difficulty estimate between 6.6 or and 7.1. Split into paragraphs and filtered out most 'non-paragraphs' like titles, tables of content, etc. For easier books, see books3_basic_paragraphs
tyzhu/squad_qa_wrong_rare_v5_full_recite_ans_sent_last_permute_rerun	--- configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* dataset_info: features: - name: id dtype: string - name: title dtype: string - name: context dtype: string - name: question dtype: string - name: answers sequence: - name: text dtype: string - name: answer_start dtype: int32 - name: answer dtype: string - name: context_id dtype: string - name: correct_id dtype: string - name: inputs dtype: string - name: targets dtype: string splits: - name: train num_bytes: 7960034.039930323 num_examples: 4778 - name: validation num_bytes: 409972 num_examples: 300 download_size: 1609569 dataset_size: 8370006.039930323 --- # Dataset Card for "squad_qa_wrong_rare_v5_full_recite_ans_sent_last_permute_rerun" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
baixue6269/character-profiles-romance-output	--- dataset_info: features: - name: name dtype: string - name: categories sequence: string - name: personalities sequence: string - name: description dtype: string - name: conversation list: - name: content dtype: string - name: role dtype: string splits: - name: train num_bytes: 103050 num_examples: 10 download_size: 67798 dataset_size: 103050 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "character-profiles-romance-output" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
distilled-from-one-sec-cv12/chunk_24	--- dataset_info: features: - name: logits sequence: float32 - name: mfcc sequence: sequence: float64 splits: - name: train num_bytes: 902826572 num_examples: 175921 download_size: 922576593 dataset_size: 902826572 --- # Dataset Card for "chunk_24" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
liuyanchen1015/MULTI_VALUE_qqp_present_perfect_ever	--- dataset_info: features: - name: question1 dtype: string - name: question2 dtype: string - name: label dtype: int64 - name: idx dtype: int64 - name: value_score dtype: int64 splits: - name: dev num_bytes: 282286 num_examples: 1494 - name: test num_bytes: 2674842 num_examples: 13910 - name: train num_bytes: 2532159 num_examples: 13233 download_size: 3302161 dataset_size: 5489287 --- # Dataset Card for "MULTI_VALUE_qqp_present_perfect_ever" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
acozma/fill50k	--- dataset_info: features: - name: image dtype: image - name: conditioning_image dtype: image - name: text dtype: string splits: - name: train num_bytes: 451820630.0 num_examples: 50000 download_size: 323967497 dataset_size: 451820630.0 --- # Dataset Card for "fill50k" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
open-llm-leaderboard/details_chatty123__mistral_rank8_packing	--- pretty_name: Evaluation run of chatty123/mistral_rank8_packing dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [chatty123/mistral_rank8_packing](https://huggingface.co/chatty123/mistral_rank8_packing)\ \ 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_chatty123__mistral_rank8_packing\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-04-15T17:27:04.020928](https://huggingface.co/datasets/open-llm-leaderboard/details_chatty123__mistral_rank8_packing/blob/main/results_2024-04-15T17-27-04.020928.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\": 0.6033731800666036,\n\ \ \"acc_stderr\": 0.033302568568672614,\n \"acc_norm\": 0.6082618374775105,\n\ \ \"acc_norm_stderr\": 0.03397805840343756,\n \"mc1\": 0.5177478580171359,\n\ \ \"mc1_stderr\": 0.017492470843075356,\n \"mc2\": 0.6730810498532811,\n\ \ \"mc2_stderr\": 0.01524685826294553\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.575938566552901,\n \"acc_stderr\": 0.014441889627464392,\n\ \ \"acc_norm\": 0.6254266211604096,\n \"acc_norm_stderr\": 0.014144193471893454\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.6571400119498108,\n\ \ \"acc_stderr\": 0.004736950810617793,\n \"acc_norm\": 0.8477394941246763,\n\ \ \"acc_norm_stderr\": 0.003585389636472376\n },\n \"harness\|hendrycksTest-abstract_algebra\|5\"\ : {\n \"acc\": 0.35,\n \"acc_stderr\": 0.04793724854411021,\n \ \ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.04793724854411021\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\": 0.58,\n\ \ \"acc_stderr\": 0.049604496374885836,\n \"acc_norm\": 0.58,\n \ \ \"acc_norm_stderr\": 0.049604496374885836\n },\n \"harness\|hendrycksTest-clinical_knowledge\|5\"\ : {\n \"acc\": 0.6754716981132075,\n \"acc_stderr\": 0.02881561571343211,\n\ \ \"acc_norm\": 0.6754716981132075,\n \"acc_norm_stderr\": 0.02881561571343211\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.6597222222222222,\n\ \ \"acc_stderr\": 0.039621355734862175,\n \"acc_norm\": 0.6597222222222222,\n\ \ \"acc_norm_stderr\": 0.039621355734862175\n },\n \"harness\|hendrycksTest-college_chemistry\|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-college_computer_science\|5\": {\n \"acc\"\ : 0.49,\n \"acc_stderr\": 0.05024183937956913,\n \"acc_norm\": 0.49,\n\ \ \"acc_norm_stderr\": 0.05024183937956913\n },\n \"harness\|hendrycksTest-college_mathematics\|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-college_medicine\|5\": {\n \"acc\": 0.5838150289017341,\n\ \ \"acc_stderr\": 0.03758517775404947,\n \"acc_norm\": 0.5838150289017341,\n\ \ \"acc_norm_stderr\": 0.03758517775404947\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\": 0.04512608598542128,\n \"acc_norm\": 0.72,\n\ \ \"acc_norm_stderr\": 0.04512608598542128\n },\n \"harness\|hendrycksTest-conceptual_physics\|5\"\ : {\n \"acc\": 0.5148936170212766,\n \"acc_stderr\": 0.03267151848924777,\n\ \ \"acc_norm\": 0.5148936170212766,\n \"acc_norm_stderr\": 0.03267151848924777\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.4298245614035088,\n\ \ \"acc_stderr\": 0.04657047260594963,\n \"acc_norm\": 0.4298245614035088,\n\ \ \"acc_norm_stderr\": 0.04657047260594963\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.5655172413793104,\n \"acc_stderr\": 0.04130740879555497,\n\ \ \"acc_norm\": 0.5655172413793104,\n \"acc_norm_stderr\": 0.04130740879555497\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.38095238095238093,\n \"acc_stderr\": 0.025010749116137605,\n \"\ acc_norm\": 0.38095238095238093,\n \"acc_norm_stderr\": 0.025010749116137605\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\": 0.4,\n \"acc_stderr\": 0.049236596391733084,\n \ \ \"acc_norm\": 0.4,\n \"acc_norm_stderr\": 0.049236596391733084\n \ \ },\n \"harness\|hendrycksTest-high_school_biology\|5\": {\n \"acc\": 0.6774193548387096,\n\ \ \"acc_stderr\": 0.026593084516572274,\n \"acc_norm\": 0.6774193548387096,\n\ \ \"acc_norm_stderr\": 0.026593084516572274\n },\n \"harness\|hendrycksTest-high_school_chemistry\|5\"\ : {\n \"acc\": 0.4876847290640394,\n \"acc_stderr\": 0.035169204442208966,\n\ \ \"acc_norm\": 0.4876847290640394,\n \"acc_norm_stderr\": 0.035169204442208966\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|5\": {\n \ \ \"acc\": 0.63,\n \"acc_stderr\": 0.04852365870939099,\n \"acc_norm\"\ : 0.63,\n \"acc_norm_stderr\": 0.04852365870939099\n },\n \"harness\|hendrycksTest-high_school_european_history\|5\"\ : {\n \"acc\": 0.7212121212121212,\n \"acc_stderr\": 0.03501438706296781,\n\ \ \"acc_norm\": 0.7212121212121212,\n \"acc_norm_stderr\": 0.03501438706296781\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.7474747474747475,\n \"acc_stderr\": 0.030954055470365897,\n \"\ acc_norm\": 0.7474747474747475,\n \"acc_norm_stderr\": 0.030954055470365897\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.844559585492228,\n \"acc_stderr\": 0.026148483469153314,\n\ \ \"acc_norm\": 0.844559585492228,\n \"acc_norm_stderr\": 0.026148483469153314\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.5538461538461539,\n \"acc_stderr\": 0.02520357177302833,\n \ \ \"acc_norm\": 0.5538461538461539,\n \"acc_norm_stderr\": 0.02520357177302833\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.3333333333333333,\n \"acc_stderr\": 0.02874204090394848,\n \ \ \"acc_norm\": 0.3333333333333333,\n \"acc_norm_stderr\": 0.02874204090394848\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.6386554621848739,\n \"acc_stderr\": 0.03120469122515002,\n \ \ \"acc_norm\": 0.6386554621848739,\n \"acc_norm_stderr\": 0.03120469122515002\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.3509933774834437,\n \"acc_stderr\": 0.03896981964257375,\n \"\ acc_norm\": 0.3509933774834437,\n \"acc_norm_stderr\": 0.03896981964257375\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.8,\n \"acc_stderr\": 0.017149858514250955,\n \"acc_norm\": 0.8,\n\ \ \"acc_norm_stderr\": 0.017149858514250955\n },\n \"harness\|hendrycksTest-high_school_statistics\|5\"\ : {\n \"acc\": 0.4444444444444444,\n \"acc_stderr\": 0.03388857118502326,\n\ \ \"acc_norm\": 0.4444444444444444,\n \"acc_norm_stderr\": 0.03388857118502326\n\ \ },\n \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\"\ : 0.7598039215686274,\n \"acc_stderr\": 0.02998373305591361,\n \"\ acc_norm\": 0.7598039215686274,\n \"acc_norm_stderr\": 0.02998373305591361\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\": 0.6278026905829597,\n\ \ \"acc_stderr\": 0.032443052830087304,\n \"acc_norm\": 0.6278026905829597,\n\ \ \"acc_norm_stderr\": 0.032443052830087304\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.6946564885496184,\n \"acc_stderr\": 0.040393149787245605,\n\ \ \"acc_norm\": 0.6946564885496184,\n \"acc_norm_stderr\": 0.040393149787245605\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.7933884297520661,\n \"acc_stderr\": 0.03695980128098824,\n \"\ acc_norm\": 0.7933884297520661,\n \"acc_norm_stderr\": 0.03695980128098824\n\ \ },\n \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.7037037037037037,\n\ \ \"acc_stderr\": 0.04414343666854933,\n \"acc_norm\": 0.7037037037037037,\n\ \ \"acc_norm_stderr\": 0.04414343666854933\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.7361963190184049,\n \"acc_stderr\": 0.03462419931615623,\n\ \ \"acc_norm\": 0.7361963190184049,\n \"acc_norm_stderr\": 0.03462419931615623\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.4642857142857143,\n\ \ \"acc_stderr\": 0.04733667890053756,\n \"acc_norm\": 0.4642857142857143,\n\ \ \"acc_norm_stderr\": 0.04733667890053756\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.7475728155339806,\n \"acc_stderr\": 0.04301250399690878,\n\ \ \"acc_norm\": 0.7475728155339806,\n \"acc_norm_stderr\": 0.04301250399690878\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.8632478632478633,\n\ \ \"acc_stderr\": 0.022509033937077785,\n \"acc_norm\": 0.8632478632478633,\n\ \ \"acc_norm_stderr\": 0.022509033937077785\n },\n \"harness\|hendrycksTest-medical_genetics\|5\"\ : {\n \"acc\": 0.68,\n \"acc_stderr\": 0.046882617226215034,\n \ \ \"acc_norm\": 0.68,\n \"acc_norm_stderr\": 0.046882617226215034\n \ \ },\n \"harness\|hendrycksTest-miscellaneous\|5\": {\n \"acc\": 0.7803320561941252,\n\ \ \"acc_stderr\": 0.014805384478371153,\n \"acc_norm\": 0.7803320561941252,\n\ \ \"acc_norm_stderr\": 0.014805384478371153\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.6647398843930635,\n \"acc_stderr\": 0.02541600377316554,\n\ \ \"acc_norm\": 0.6647398843930635,\n \"acc_norm_stderr\": 0.02541600377316554\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.35083798882681566,\n\ \ \"acc_stderr\": 0.01596103667523097,\n \"acc_norm\": 0.35083798882681566,\n\ \ \"acc_norm_stderr\": 0.01596103667523097\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.6862745098039216,\n \"acc_stderr\": 0.02656892101545714,\n\ \ \"acc_norm\": 0.6862745098039216,\n \"acc_norm_stderr\": 0.02656892101545714\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.6784565916398714,\n\ \ \"acc_stderr\": 0.026527724079528872,\n \"acc_norm\": 0.6784565916398714,\n\ \ \"acc_norm_stderr\": 0.026527724079528872\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.6759259259259259,\n \"acc_stderr\": 0.02604176620271716,\n\ \ \"acc_norm\": 0.6759259259259259,\n \"acc_norm_stderr\": 0.02604176620271716\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.45390070921985815,\n \"acc_stderr\": 0.029700453247291463,\n \ \ \"acc_norm\": 0.45390070921985815,\n \"acc_norm_stderr\": 0.029700453247291463\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.4276401564537158,\n\ \ \"acc_stderr\": 0.012635799922765843,\n \"acc_norm\": 0.4276401564537158,\n\ \ \"acc_norm_stderr\": 0.012635799922765843\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.6029411764705882,\n \"acc_stderr\": 0.02972215209928006,\n\ \ \"acc_norm\": 0.6029411764705882,\n \"acc_norm_stderr\": 0.02972215209928006\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.6062091503267973,\n \"acc_stderr\": 0.01976621199107306,\n \ \ \"acc_norm\": 0.6062091503267973,\n \"acc_norm_stderr\": 0.01976621199107306\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\": 0.7346938775510204,\n \"acc_stderr\": 0.0282638899437846,\n\ \ \"acc_norm\": 0.7346938775510204,\n \"acc_norm_stderr\": 0.0282638899437846\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.7562189054726368,\n\ \ \"acc_stderr\": 0.03036049015401464,\n \"acc_norm\": 0.7562189054726368,\n\ \ \"acc_norm_stderr\": 0.03036049015401464\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.81,\n \"acc_stderr\": 0.039427724440366255,\n \ \ \"acc_norm\": 0.81,\n \"acc_norm_stderr\": 0.039427724440366255\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\": 0.8245614035087719,\n \"acc_stderr\": 0.029170885500727665,\n\ \ \"acc_norm\": 0.8245614035087719,\n \"acc_norm_stderr\": 0.029170885500727665\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.5177478580171359,\n\ \ \"mc1_stderr\": 0.017492470843075356,\n \"mc2\": 0.6730810498532811,\n\ \ \"mc2_stderr\": 0.01524685826294553\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.7679558011049724,\n \"acc_stderr\": 0.011864149691827938\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.3904473085670963,\n \ \ \"acc_stderr\": 0.013437829864668576\n }\n}\n```" repo_url: https://huggingface.co/chatty123/mistral_rank8_packing 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_04_15T17_27_04.020928 path: - '/details_harness\|arc:challenge\|25_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2024-04-15T17-27-04.020928.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '/details_harness\|gsm8k\|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_04_15T17_27_04.020928 path: - '/details_harness\|hellaswag\|10_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-04-15T17-27-04.020928.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '/details_harness\|hendrycksTest-international_law\|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '/details_harness\|hendrycksTest-management\|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '/details_harness\|hendrycksTest-marketing\|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '/details_harness\|hendrycksTest-sociology\|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '/details_harness\|hendrycksTest-virology\|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_04_15T17_27_04.020928 path: - '/details_harness\|truthfulqa:mc\|0_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2024-04-15T17-27-04.020928.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '/details_harness\|winogrande\|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2024-04-15T17-27-04.020928.parquet' - config_name: results data_files: - split: 2024_04_15T17_27_04.020928 path: - results_2024-04-15T17-27-04.020928.parquet - split: latest path: - results_2024-04-15T17-27-04.020928.parquet --- # Dataset Card for Evaluation run of chatty123/mistral_rank8_packing <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [chatty123/mistral_rank8_packing](https://huggingface.co/chatty123/mistral_rank8_packing) 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_chatty123__mistral_rank8_packing", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-04-15T17:27:04.020928](https://huggingface.co/datasets/open-llm-leaderboard/details_chatty123__mistral_rank8_packing/blob/main/results_2024-04-15T17-27-04.020928.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": 0.6033731800666036, "acc_stderr": 0.033302568568672614, "acc_norm": 0.6082618374775105, "acc_norm_stderr": 0.03397805840343756, "mc1": 0.5177478580171359, "mc1_stderr": 0.017492470843075356, "mc2": 0.6730810498532811, "mc2_stderr": 0.01524685826294553 }, "harness\|arc:challenge\|25": { "acc": 0.575938566552901, "acc_stderr": 0.014441889627464392, "acc_norm": 0.6254266211604096, "acc_norm_stderr": 0.014144193471893454 }, "harness\|hellaswag\|10": { "acc": 0.6571400119498108, "acc_stderr": 0.004736950810617793, "acc_norm": 0.8477394941246763, "acc_norm_stderr": 0.003585389636472376 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.35, "acc_stderr": 0.04793724854411021, "acc_norm": 0.35, "acc_norm_stderr": 0.04793724854411021 }, "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": 0.58, "acc_stderr": 0.049604496374885836, "acc_norm": 0.58, "acc_norm_stderr": 0.049604496374885836 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.6754716981132075, "acc_stderr": 0.02881561571343211, "acc_norm": 0.6754716981132075, "acc_norm_stderr": 0.02881561571343211 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.6597222222222222, "acc_stderr": 0.039621355734862175, "acc_norm": 0.6597222222222222, "acc_norm_stderr": 0.039621355734862175 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.37, "acc_stderr": 0.04852365870939099, "acc_norm": 0.37, "acc_norm_stderr": 0.04852365870939099 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.49, "acc_stderr": 0.05024183937956913, "acc_norm": 0.49, "acc_norm_stderr": 0.05024183937956913 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.37, "acc_stderr": 0.04852365870939099, "acc_norm": 0.37, "acc_norm_stderr": 0.04852365870939099 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.5838150289017341, "acc_stderr": 0.03758517775404947, "acc_norm": 0.5838150289017341, "acc_norm_stderr": 0.03758517775404947 }, "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": 0.04512608598542128, "acc_norm": 0.72, "acc_norm_stderr": 0.04512608598542128 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.5148936170212766, "acc_stderr": 0.03267151848924777, "acc_norm": 0.5148936170212766, "acc_norm_stderr": 0.03267151848924777 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.4298245614035088, "acc_stderr": 0.04657047260594963, "acc_norm": 0.4298245614035088, "acc_norm_stderr": 0.04657047260594963 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.5655172413793104, "acc_stderr": 0.04130740879555497, "acc_norm": 0.5655172413793104, "acc_norm_stderr": 0.04130740879555497 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.38095238095238093, "acc_stderr": 0.025010749116137605, "acc_norm": 0.38095238095238093, "acc_norm_stderr": 0.025010749116137605 }, "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": 0.4, "acc_stderr": 0.049236596391733084, "acc_norm": 0.4, "acc_norm_stderr": 0.049236596391733084 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.6774193548387096, "acc_stderr": 0.026593084516572274, "acc_norm": 0.6774193548387096, "acc_norm_stderr": 0.026593084516572274 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.4876847290640394, "acc_stderr": 0.035169204442208966, "acc_norm": 0.4876847290640394, "acc_norm_stderr": 0.035169204442208966 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.63, "acc_stderr": 0.04852365870939099, "acc_norm": 0.63, "acc_norm_stderr": 0.04852365870939099 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.7212121212121212, "acc_stderr": 0.03501438706296781, "acc_norm": 0.7212121212121212, "acc_norm_stderr": 0.03501438706296781 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.7474747474747475, "acc_stderr": 0.030954055470365897, "acc_norm": 0.7474747474747475, "acc_norm_stderr": 0.030954055470365897 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.844559585492228, "acc_stderr": 0.026148483469153314, "acc_norm": 0.844559585492228, "acc_norm_stderr": 0.026148483469153314 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.5538461538461539, "acc_stderr": 0.02520357177302833, "acc_norm": 0.5538461538461539, "acc_norm_stderr": 0.02520357177302833 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.3333333333333333, "acc_stderr": 0.02874204090394848, "acc_norm": 0.3333333333333333, "acc_norm_stderr": 0.02874204090394848 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.6386554621848739, "acc_stderr": 0.03120469122515002, "acc_norm": 0.6386554621848739, "acc_norm_stderr": 0.03120469122515002 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.3509933774834437, "acc_stderr": 0.03896981964257375, "acc_norm": 0.3509933774834437, "acc_norm_stderr": 0.03896981964257375 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.8, "acc_stderr": 0.017149858514250955, "acc_norm": 0.8, "acc_norm_stderr": 0.017149858514250955 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.4444444444444444, "acc_stderr": 0.03388857118502326, "acc_norm": 0.4444444444444444, "acc_norm_stderr": 0.03388857118502326 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.7598039215686274, "acc_stderr": 0.02998373305591361, "acc_norm": 0.7598039215686274, "acc_norm_stderr": 0.02998373305591361 }, "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": 0.6278026905829597, "acc_stderr": 0.032443052830087304, "acc_norm": 0.6278026905829597, "acc_norm_stderr": 0.032443052830087304 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.6946564885496184, "acc_stderr": 0.040393149787245605, "acc_norm": 0.6946564885496184, "acc_norm_stderr": 0.040393149787245605 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.7933884297520661, "acc_stderr": 0.03695980128098824, "acc_norm": 0.7933884297520661, "acc_norm_stderr": 0.03695980128098824 }, "harness\|hendrycksTest-jurisprudence\|5": { "acc": 0.7037037037037037, "acc_stderr": 0.04414343666854933, "acc_norm": 0.7037037037037037, "acc_norm_stderr": 0.04414343666854933 }, "harness\|hendrycksTest-logical_fallacies\|5": { "acc": 0.7361963190184049, "acc_stderr": 0.03462419931615623, "acc_norm": 0.7361963190184049, "acc_norm_stderr": 0.03462419931615623 }, "harness\|hendrycksTest-machine_learning\|5": { "acc": 0.4642857142857143, "acc_stderr": 0.04733667890053756, "acc_norm": 0.4642857142857143, "acc_norm_stderr": 0.04733667890053756 }, "harness\|hendrycksTest-management\|5": { "acc": 0.7475728155339806, "acc_stderr": 0.04301250399690878, "acc_norm": 0.7475728155339806, "acc_norm_stderr": 0.04301250399690878 }, "harness\|hendrycksTest-marketing\|5": { "acc": 0.8632478632478633, "acc_stderr": 0.022509033937077785, "acc_norm": 0.8632478632478633, "acc_norm_stderr": 0.022509033937077785 }, "harness\|hendrycksTest-medical_genetics\|5": { "acc": 0.68, "acc_stderr": 0.046882617226215034, "acc_norm": 0.68, "acc_norm_stderr": 0.046882617226215034 }, "harness\|hendrycksTest-miscellaneous\|5": { "acc": 0.7803320561941252, "acc_stderr": 0.014805384478371153, "acc_norm": 0.7803320561941252, "acc_norm_stderr": 0.014805384478371153 }, "harness\|hendrycksTest-moral_disputes\|5": { "acc": 0.6647398843930635, "acc_stderr": 0.02541600377316554, "acc_norm": 0.6647398843930635, "acc_norm_stderr": 0.02541600377316554 }, "harness\|hendrycksTest-moral_scenarios\|5": { "acc": 0.35083798882681566, "acc_stderr": 0.01596103667523097, "acc_norm": 0.35083798882681566, "acc_norm_stderr": 0.01596103667523097 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.6862745098039216, "acc_stderr": 0.02656892101545714, "acc_norm": 0.6862745098039216, "acc_norm_stderr": 0.02656892101545714 }, "harness\|hendrycksTest-philosophy\|5": { "acc": 0.6784565916398714, "acc_stderr": 0.026527724079528872, "acc_norm": 0.6784565916398714, "acc_norm_stderr": 0.026527724079528872 }, "harness\|hendrycksTest-prehistory\|5": { "acc": 0.6759259259259259, "acc_stderr": 0.02604176620271716, "acc_norm": 0.6759259259259259, "acc_norm_stderr": 0.02604176620271716 }, "harness\|hendrycksTest-professional_accounting\|5": { "acc": 0.45390070921985815, "acc_stderr": 0.029700453247291463, "acc_norm": 0.45390070921985815, "acc_norm_stderr": 0.029700453247291463 }, "harness\|hendrycksTest-professional_law\|5": { "acc": 0.4276401564537158, "acc_stderr": 0.012635799922765843, "acc_norm": 0.4276401564537158, "acc_norm_stderr": 0.012635799922765843 }, "harness\|hendrycksTest-professional_medicine\|5": { "acc": 0.6029411764705882, "acc_stderr": 0.02972215209928006, "acc_norm": 0.6029411764705882, "acc_norm_stderr": 0.02972215209928006 }, "harness\|hendrycksTest-professional_psychology\|5": { "acc": 0.6062091503267973, "acc_stderr": 0.01976621199107306, "acc_norm": 0.6062091503267973, "acc_norm_stderr": 0.01976621199107306 }, "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": 0.7346938775510204, "acc_stderr": 0.0282638899437846, "acc_norm": 0.7346938775510204, "acc_norm_stderr": 0.0282638899437846 }, "harness\|hendrycksTest-sociology\|5": { "acc": 0.7562189054726368, "acc_stderr": 0.03036049015401464, "acc_norm": 0.7562189054726368, "acc_norm_stderr": 0.03036049015401464 }, "harness\|hendrycksTest-us_foreign_policy\|5": { "acc": 0.81, "acc_stderr": 0.039427724440366255, "acc_norm": 0.81, "acc_norm_stderr": 0.039427724440366255 }, "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": 0.8245614035087719, "acc_stderr": 0.029170885500727665, "acc_norm": 0.8245614035087719, "acc_norm_stderr": 0.029170885500727665 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.5177478580171359, "mc1_stderr": 0.017492470843075356, "mc2": 0.6730810498532811, "mc2_stderr": 0.01524685826294553 }, "harness\|winogrande\|5": { "acc": 0.7679558011049724, "acc_stderr": 0.011864149691827938 }, "harness\|gsm8k\|5": { "acc": 0.3904473085670963, "acc_stderr": 0.013437829864668576 } } ``` ## Dataset Details ### Dataset Description <!-- Provide a longer summary of what this dataset is. --> - Curated by: [More Information Needed] - Funded by [optional]: [More Information Needed] - Shared by [optional]: [More Information Needed] - Language(s) (NLP): [More Information Needed] - License: [More Information Needed] ### Dataset Sources [optional] <!-- Provide the basic links for the dataset. --> - Repository: [More Information Needed] - Paper [optional]: [More Information Needed] - Demo [optional]: [More Information Needed] ## Uses <!-- Address questions around how the dataset is intended to be used. --> ### Direct Use <!-- This section describes suitable use cases for the dataset. --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. --> [More Information Needed] ## Dataset Structure <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. --> [More Information Needed] ## Dataset Creation ### Curation Rationale <!-- Motivation for the creation of this dataset. --> [More Information Needed] ### Source Data <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). --> #### Data Collection and Processing <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. --> [More Information Needed] #### Who are the source data producers? <!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. --> [More Information Needed] ### Annotations [optional] <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. --> #### Annotation process <!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. --> [More Information Needed] #### Who are the annotators? <!-- This section describes the people or systems who created the annotations. --> [More Information Needed] #### Personal and Sensitive Information <!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional] <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> BibTeX: [More Information Needed] APA: [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]
CyberHarem/ashe_leagueoflegends	--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of ashe (League of Legends) This is the dataset of ashe (League of Legends), containing 303 images and their tags. The core tags of this character are `breasts, blue_eyes, large_breasts, long_hair, white_hair`, which are pruned in this dataset. Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)). ## List of Packages \| Name \| Images \| Size \| Download \| Type \| Description \| \|:-----------------\|---------:\|:-----------\|:----------------------------------------------------------------------------------------------------------------------\|:-----------\|:---------------------------------------------------------------------\| \| raw \| 303 \| 411.44 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/ashe_leagueoflegends/resolve/main/dataset-raw.zip) \| Waifuc-Raw \| Raw data with meta information (min edge aligned to 1400 if larger). \| \| 800 \| 303 \| 243.76 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/ashe_leagueoflegends/resolve/main/dataset-800.zip) \| IMG+TXT \| dataset with the shorter side not exceeding 800 pixels. \| \| stage3-p480-800 \| 689 \| 481.61 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/ashe_leagueoflegends/resolve/main/dataset-stage3-p480-800.zip) \| IMG+TXT \| 3-stage cropped dataset with the area not less than 480x480 pixels. \| \| 1200 \| 303 \| 364.11 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/ashe_leagueoflegends/resolve/main/dataset-1200.zip) \| IMG+TXT \| dataset with the shorter side not exceeding 1200 pixels. \| \| stage3-p480-1200 \| 689 \| 650.35 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/ashe_leagueoflegends/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/ashe_leagueoflegends', 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, hetero, sex_from_behind, solo_focus, blush, doggystyle, open_mouth, penis, all_fours, anus, hood, looking_at_viewer, looking_back, cum, hair_between_eyes, nude, uncensored, ass_grab, bangs, vaginal \| \| 1 \| 8 \| ![](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) \| 1boy, 1girl, hetero, penis, sex, vaginal, solo_focus, uncensored, girl_on_top, nipples, thighhighs, blush, spread_legs, hair_between_eyes, hood, armor, clothed_female_nude_male, cowgirl_position, lipstick, looking_at_viewer, open_mouth, parted_lips, pubic_hair, pussy_juice \| \| 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, arrow_(projectile), bow_(weapon), solo, cape, hood, thighhighs, cleavage, gloves, armor, green_eyes \| \| 3 \| 8 \| ![](samples/3/clu3-sample0.png) \| ![](samples/3/clu3-sample1.png) \| ![](samples/3/clu3-sample2.png) \| ![](samples/3/clu3-sample3.png) \| ![](samples/3/clu3-sample4.png) \| 1girl, aiming, drawing_bow, holding_arrow, hood, solo, cleavage, thighhighs, cape, gloves, snow, armor, armpits, boots \| \| 4 \| 5 \| ![](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, cleavage, hood, navel, parted_lips, solo, looking_at_viewer, stomach, hair_between_eyes, midriff, outdoors, skirt, thighhighs, weapon, black_gloves, elbow_gloves, holding, huge_breasts, shoulder_armor, thick_thighs \| \| 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) \| 1boy, 1girl, hetero, hood, nipples, solo_focus, open_mouth, cum_on_breasts, facial, penis, blush, breasts_squeezed_together, cum_in_mouth, lips, looking_at_viewer, navel, nude, paizuri, pussy, saliva, sweat, tongue_out, uncensored \| \| 6 \| 6 \| ![](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, hetero, multiple_penises, double_penetration, nipples, solo_focus, thighhighs, vaginal, 2boys, cum_in_pussy, fellatio, mmf_threesome, testicles, blush, censored, cum_on_body, hood, spitroast, spread_legs \| ### Table Version \| # \| Samples \| Img-1 \| Img-2 \| Img-3 \| Img-4 \| Img-5 \| 1boy \| 1girl \| hetero \| sex_from_behind \| solo_focus \| blush \| doggystyle \| open_mouth \| penis \| all_fours \| anus \| hood \| looking_at_viewer \| looking_back \| cum \| hair_between_eyes \| nude \| uncensored \| ass_grab \| bangs \| vaginal \| sex \| girl_on_top \| nipples \| thighhighs \| spread_legs \| armor \| clothed_female_nude_male \| cowgirl_position \| lipstick \| parted_lips \| pubic_hair \| pussy_juice \| arrow_(projectile) \| bow_(weapon) \| solo \| cape \| cleavage \| gloves \| green_eyes \| aiming \| drawing_bow \| holding_arrow \| snow \| armpits \| boots \| navel \| stomach \| midriff \| outdoors \| skirt \| weapon \| black_gloves \| elbow_gloves \| holding \| huge_breasts \| shoulder_armor \| thick_thighs \| cum_on_breasts \| facial \| breasts_squeezed_together \| cum_in_mouth \| lips \| paizuri \| pussy \| saliva \| sweat \| tongue_out \| multiple_penises \| double_penetration \| 2boys \| cum_in_pussy \| fellatio \| mmf_threesome \| testicles \| censored \| cum_on_body \| spitroast \| \|----:\|----------:\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:--------------------------------\|:-------\|:--------\|:---------\|:------------------\|:-------------\|:--------\|:-------------\|:-------------\|:--------\|:------------\|:-------\|:-------\|:--------------------\|:---------------\|:------\|:--------------------\|:-------\|:-------------\|:-----------\|:--------\|:----------\|:------\|:--------------\|:----------\|:-------------\|:--------------\|:--------\|:---------------------------\|:-------------------\|:-----------\|:--------------\|:-------------\|:--------------\|:---------------------\|:---------------\|:-------\|:-------\|:-----------\|:---------\|:-------------\|:---------\|:--------------\|:----------------\|:-------\|:----------\|:--------\|:--------\|:----------\|:----------\|:-----------\|:--------\|:---------\|:---------------\|:---------------\|:----------\|:---------------\|:-----------------\|:---------------\|:-----------------\|:---------\|:----------------------------\|:---------------\|:-------\|:----------\|:--------\|:---------\|:--------\|:-------------\|:-------------------\|:---------------------\|:--------\|:---------------\|:-----------\|:----------------\|:------------\|:-----------\|:--------------\|:------------\| \| 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 \| X \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 1 \| 8 \| ![](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 \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 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 \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 3 \| 8 \| ![](samples/3/clu3-sample0.png) \| ![](samples/3/clu3-sample1.png) \| ![](samples/3/clu3-sample2.png) \| ![](samples/3/clu3-sample3.png) \| ![](samples/3/clu3-sample4.png) \| \| X \| \| \| \| \| \| \| \| \| \| X \| \| \| \| \| \| \| \| \| \| \| \| \| X \| \| X \| \| \| \| \| \| \| \| \| X \| X \| X \| X \| \| X \| X \| X \| X \| X \| X \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 4 \| 5 \| ![](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 \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 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 \| X \| X \| X \| \| \| \| \| \| \| \| \| \| \| \| 6 \| 6 \| ![](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 \|
nvidia/OpenMathInstruct-1	--- license: other license_name: nvidia-license task_categories: - question-answering - text-generation language: - en tags: - math - code - nvidia pretty_name: OpenMathInstruct-1 size_categories: - 1M<n<10M --- # OpenMathInstruct-1 OpenMathInstruct-1 is a math instruction tuning dataset with 1.8M problem-solution pairs generated using permissively licensed [Mixtral-8x7B](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1) model. The problems are from [GSM8K](https://github.com/openai/grade-school-math) and [MATH](https://github.com/hendrycks/math) training subsets and the solutions are synthetically generated by allowing Mixtral model to use a mix of text reasoning and code blocks executed by Python interpreter. The dataset is split into train and validation subsets that we used in the ablations experiments. These two subsets combined together cover the full training set of GSM8K and MATH. OpenMathInstruct-1 dataset contains of the following fields: - question: original question from either GSM8K or MATH training set. - generated_solution: the synthetically generated solution that uses a mix of text reasoning and code blocks. - expected_answer: the ground-truth answer provided in the original dataset. - predicted_answer: the answer predicted by Mixtral model in the corresponding solution (extracted from `\boxed{}`). - error_message: `<not_executed>` if code was not used. Otherwise it's empty or contains a Python exception from the corresponding code block. A `timeout` string indicates that code block took longer than 10 seconds to execute. In the current dataset version we always stop generation after any error or a timeout. - is_correct: whether the final answer was considered correct by our grading script. - dataset: gsm8k or math. - generation_type: `without_reference_solution` or `masked_reference_solution`. We also release the masked solutions used to produce `generation_type="masked_reference_solution"` portion of the dataset ([GSM8K-Masked](https://huggingface.co/datasets/nvidia/OpenMath-GSM8K-masked), [MATH-Masked](https://huggingface.co/datasets/nvidia/OpenMath-MATH-masked)). See our [paper](https://arxiv.org/abs/2402.10176) to learn more details! ## OpenMath models To demonstrate the quality of this dataset, we release a series of OpenMath models trained on this data (a combination of train and validation splits to allow comparison with prior work). <table border="1"> <tr> <td></td> <td colspan="2" style="text-align: center;">greedy</td> <td colspan="2" style="text-align: center;">majority@50</td> </tr> <tr> <td style="text-align: center;">model</td> <td style="text-align: center;">GSM8K</td> <td style="text-align: center;">MATH</td> <td style="text-align: center;">GMS8K</td> <td style="text-align: center;">MATH</td> </tr> <tr> <td style="text-align: right;">OpenMath-CodeLlama-7B (<a href="https://huggingface.co/nvidia/OpenMath-CodeLlama-7b-Python">nemo</a> \| <a href="https://huggingface.co/nvidia/OpenMath-CodeLlama-7b-Python-hf">HF</a>)</td> <td style="text-align: center;">75.9</td> <td style="text-align: center;">43.6</td> <td style="text-align: center;">84.8</td> <td style="text-align: center;">55.6</td> </tr> <tr> <td style="text-align: right;">OpenMath-Mistral-7B (<a href="https://huggingface.co/nvidia/OpenMath-Mistral-7B-v0.1">nemo</a> \| <a href="https://huggingface.co/nvidia/OpenMath-Mistral-7B-v0.1-hf">HF</a>)</td> <td style="text-align: center;">80.2</td> <td style="text-align: center;">44.5</td> <td style="text-align: center;">86.9</td> <td style="text-align: center;">57.2</td> </tr> <tr> <td style="text-align: right;">OpenMath-CodeLlama-13B (<a href="https://huggingface.co/nvidia/OpenMath-CodeLlama-13b-Python">nemo</a> \| <a href="https://huggingface.co/nvidia/OpenMath-CodeLlama-13b-Python-hf">HF</a>)</td> <td style="text-align: center;">78.8</td> <td style="text-align: center;">45.5</td> <td style="text-align: center;">86.8</td> <td style="text-align: center;">57.6</td> </tr> <tr> <td style="text-align: right;">OpenMath-CodeLlama-34B (<a href="https://huggingface.co/nvidia/OpenMath-CodeLlama-34b-Python">nemo</a> \| <a href="https://huggingface.co/nvidia/OpenMath-CodeLlama-34b-Python-hf">HF</a>)</td> <td style="text-align: center;">80.7</td> <td style="text-align: center;">48.3</td> <td style="text-align: center;">88.0</td> <td style="text-align: center;">60.2</td> </tr> <tr> <td style="text-align: right;">OpenMath-Llama2-70B (<a href="https://huggingface.co/nvidia/OpenMath-Llama-2-70b">nemo</a> \| <a href="https://huggingface.co/nvidia/OpenMath-Llama-2-70b-hf">HF</a>)</td> <td style="text-align: center;"><b>84.7</b></td> <td style="text-align: center;">46.3</td> <td style="text-align: center;">90.1</td> <td style="text-align: center;">58.3</td> </tr> <tr> <td style="text-align: right;">OpenMath-CodeLlama-70B (<a href="https://huggingface.co/nvidia/OpenMath-CodeLlama-70b-Python">nemo</a> \| <a href="https://huggingface.co/nvidia/OpenMath-CodeLlama-70b-Python-hf">HF</a>)</td> <td style="text-align: center;">84.6</td> <td style="text-align: center;"><b>50.7</b></td> <td style="text-align: center;"><b>90.8</b></td> <td style="text-align: center;"><b>60.4</b></td> </tr> </table> The pipeline we used to produce the data and models is fully open-sourced! - [Code](https://github.com/Kipok/NeMo-Skills) - [Models](https://huggingface.co/collections/nvidia/openmath-65c5619de2ba059be0775014) - [Dataset](https://huggingface.co/datasets/nvidia/OpenMathInstruct-1) ## Reproducing our results We provide [all instructions](https://github.com/Kipok/NeMo-Skills/blob/main/docs/reproducing-results.md) to fully reproduce our results, including data generation. ## Generating similar datasets To generate similar datasets for other tasks or to learn more about our code, read through the docs below. - [NeMo-Skills Pipeline](https://github.com/Kipok/NeMo-Skills) - [Generating synthetic data](https://github.com/Kipok/NeMo-Skills/blob/main/docs/synthetic-data-generation.md) - [Finetuning models](https://github.com/Kipok/NeMo-Skills/blob/main/docs/finetuning.md) - [Evaluating models](https://github.com/Kipok/NeMo-Skills/blob/main/docs/evaluation.md) ## Citation If you find our work useful, please consider citing us! ```bibtex @article{toshniwal2024openmath, title = {OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset}, author = {Shubham Toshniwal and Ivan Moshkov and Sean Narenthiran and Daria Gitman and Fei Jia and Igor Gitman}, year = {2024}, journal = {arXiv preprint arXiv: Arxiv-2402.10176} } ``` ## License The use of this dataset is governed by the [NVIDIA License](LICENSE) which permits commercial usage.
Imran1/dogtrainset	--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': Afghan_hound '1': French_bulldog splits: - name: train num_bytes: 26798257.0 num_examples: 398 download_size: 26755684 dataset_size: 26798257.0 configs: - config_name: default data_files: - split: train path: data/train-* ---
ga1asta/breg	--- license: mit ---
open-llm-leaderboard/details_MisterRid__saulgoodman-2x7b-alpha1	--- pretty_name: Evaluation run of MisterRid/saulgoodman-2x7b-alpha1 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [MisterRid/saulgoodman-2x7b-alpha1](https://huggingface.co/MisterRid/saulgoodman-2x7b-alpha1)\ \ 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_MisterRid__saulgoodman-2x7b-alpha1\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-12-20T22:30:24.854096](https://huggingface.co/datasets/open-llm-leaderboard/details_MisterRid__saulgoodman-2x7b-alpha1/blob/main/results_2023-12-20T22-30-24.854096.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\": 0.6511172644532761,\n\ \ \"acc_stderr\": 0.03210282974235949,\n \"acc_norm\": 0.6531681519171342,\n\ \ \"acc_norm_stderr\": 0.032744836386602465,\n \"mc1\": 0.4320685434516524,\n\ \ \"mc1_stderr\": 0.01734120239498826,\n \"mc2\": 0.6006356075996195,\n\ \ \"mc2_stderr\": 0.015505899675520648\n },\n \"harness\|arc:challenge\|25\"\ : {\n \"acc\": 0.6262798634812287,\n \"acc_stderr\": 0.014137708601759093,\n\ \ \"acc_norm\": 0.6621160409556314,\n \"acc_norm_stderr\": 0.01382204792228351\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.6709818761202948,\n\ \ \"acc_stderr\": 0.004688963175758129,\n \"acc_norm\": 0.8536148177653854,\n\ \ \"acc_norm_stderr\": 0.003527695149823515\n },\n \"harness\|hendrycksTest-abstract_algebra\|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-anatomy\|5\": {\n \"acc\": 0.6074074074074074,\n\ \ \"acc_stderr\": 0.0421850621536888,\n \"acc_norm\": 0.6074074074074074,\n\ \ \"acc_norm_stderr\": 0.0421850621536888\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.6907894736842105,\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\": 0.61,\n\ \ \"acc_stderr\": 0.04902071300001975,\n \"acc_norm\": 0.61,\n \ \ \"acc_norm_stderr\": 0.04902071300001975\n },\n \"harness\|hendrycksTest-clinical_knowledge\|5\"\ : {\n \"acc\": 0.7018867924528301,\n \"acc_stderr\": 0.02815283794249387,\n\ \ \"acc_norm\": 0.7018867924528301,\n \"acc_norm_stderr\": 0.02815283794249387\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\": 0.47,\n \"acc_stderr\": 0.05016135580465919,\n \ \ \"acc_norm\": 0.47,\n \"acc_norm_stderr\": 0.05016135580465919\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\": 0.35,\n \"acc_stderr\": 0.047937248544110175,\n \ \ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.047937248544110175\n \ \ },\n \"harness\|hendrycksTest-college_medicine\|5\": {\n \"acc\": 0.6416184971098265,\n\ \ \"acc_stderr\": 0.036563436533531585,\n \"acc_norm\": 0.6416184971098265,\n\ \ \"acc_norm_stderr\": 0.036563436533531585\n },\n \"harness\|hendrycksTest-college_physics\|5\"\ : {\n \"acc\": 0.39215686274509803,\n \"acc_stderr\": 0.048580835742663454,\n\ \ \"acc_norm\": 0.39215686274509803,\n \"acc_norm_stderr\": 0.048580835742663454\n\ \ },\n \"harness\|hendrycksTest-computer_security\|5\": {\n \"acc\":\ \ 0.8,\n \"acc_stderr\": 0.04020151261036845,\n \"acc_norm\": 0.8,\n\ \ \"acc_norm_stderr\": 0.04020151261036845\n },\n \"harness\|hendrycksTest-conceptual_physics\|5\"\ : {\n \"acc\": 0.5914893617021276,\n \"acc_stderr\": 0.032134180267015755,\n\ \ \"acc_norm\": 0.5914893617021276,\n \"acc_norm_stderr\": 0.032134180267015755\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.5,\n\ \ \"acc_stderr\": 0.047036043419179864,\n \"acc_norm\": 0.5,\n \ \ \"acc_norm_stderr\": 0.047036043419179864\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.5862068965517241,\n \"acc_stderr\": 0.04104269211806232,\n\ \ \"acc_norm\": 0.5862068965517241,\n \"acc_norm_stderr\": 0.04104269211806232\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.4126984126984127,\n \"acc_stderr\": 0.025355741263055273,\n \"\ acc_norm\": 0.4126984126984127,\n \"acc_norm_stderr\": 0.025355741263055273\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.4523809523809524,\n\ \ \"acc_stderr\": 0.04451807959055328,\n \"acc_norm\": 0.4523809523809524,\n\ \ \"acc_norm_stderr\": 0.04451807959055328\n },\n \"harness\|hendrycksTest-global_facts\|5\"\ : {\n \"acc\": 0.4,\n \"acc_stderr\": 0.04923659639173309,\n \ \ \"acc_norm\": 0.4,\n \"acc_norm_stderr\": 0.04923659639173309\n },\n\ \ \"harness\|hendrycksTest-high_school_biology\|5\": {\n \"acc\": 0.8096774193548387,\n\ \ \"acc_stderr\": 0.022331707611823078,\n \"acc_norm\": 0.8096774193548387,\n\ \ \"acc_norm_stderr\": 0.022331707611823078\n },\n \"harness\|hendrycksTest-high_school_chemistry\|5\"\ : {\n \"acc\": 0.5320197044334976,\n \"acc_stderr\": 0.03510766597959215,\n\ \ \"acc_norm\": 0.5320197044334976,\n \"acc_norm_stderr\": 0.03510766597959215\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|5\": {\n \ \ \"acc\": 0.7,\n \"acc_stderr\": 0.046056618647183814,\n \"acc_norm\"\ : 0.7,\n \"acc_norm_stderr\": 0.046056618647183814\n },\n \"harness\|hendrycksTest-high_school_european_history\|5\"\ : {\n \"acc\": 0.7636363636363637,\n \"acc_stderr\": 0.03317505930009181,\n\ \ \"acc_norm\": 0.7636363636363637,\n \"acc_norm_stderr\": 0.03317505930009181\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.7929292929292929,\n \"acc_stderr\": 0.028869778460267042,\n \"\ acc_norm\": 0.7929292929292929,\n \"acc_norm_stderr\": 0.028869778460267042\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.8963730569948186,\n \"acc_stderr\": 0.02199531196364424,\n\ \ \"acc_norm\": 0.8963730569948186,\n \"acc_norm_stderr\": 0.02199531196364424\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.6615384615384615,\n \"acc_stderr\": 0.02399150050031304,\n \ \ \"acc_norm\": 0.6615384615384615,\n \"acc_norm_stderr\": 0.02399150050031304\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.36666666666666664,\n \"acc_stderr\": 0.029381620726465066,\n \ \ \"acc_norm\": 0.36666666666666664,\n \"acc_norm_stderr\": 0.029381620726465066\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.6890756302521008,\n \"acc_stderr\": 0.030066761582977927,\n\ \ \"acc_norm\": 0.6890756302521008,\n \"acc_norm_stderr\": 0.030066761582977927\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.3509933774834437,\n \"acc_stderr\": 0.03896981964257375,\n \"\ acc_norm\": 0.3509933774834437,\n \"acc_norm_stderr\": 0.03896981964257375\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.8458715596330275,\n \"acc_stderr\": 0.015480826865374303,\n \"\ acc_norm\": 0.8458715596330275,\n \"acc_norm_stderr\": 0.015480826865374303\n\ \ },\n \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\"\ : 0.5185185185185185,\n \"acc_stderr\": 0.03407632093854051,\n \"\ acc_norm\": 0.5185185185185185,\n \"acc_norm_stderr\": 0.03407632093854051\n\ \ },\n \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\"\ : 0.8235294117647058,\n \"acc_stderr\": 0.02675640153807896,\n \"\ acc_norm\": 0.8235294117647058,\n \"acc_norm_stderr\": 0.02675640153807896\n\ \ },\n \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"\ acc\": 0.810126582278481,\n \"acc_stderr\": 0.025530100460233483,\n \ \ \"acc_norm\": 0.810126582278481,\n \"acc_norm_stderr\": 0.025530100460233483\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\": 0.7709923664122137,\n \"acc_stderr\": 0.036853466317118506,\n\ \ \"acc_norm\": 0.7709923664122137,\n \"acc_norm_stderr\": 0.036853466317118506\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.7933884297520661,\n \"acc_stderr\": 0.03695980128098824,\n \"\ acc_norm\": 0.7933884297520661,\n \"acc_norm_stderr\": 0.03695980128098824\n\ \ },\n \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.7870370370370371,\n\ \ \"acc_stderr\": 0.0395783547198098,\n \"acc_norm\": 0.7870370370370371,\n\ \ \"acc_norm_stderr\": 0.0395783547198098\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.7668711656441718,\n \"acc_stderr\": 0.0332201579577674,\n\ \ \"acc_norm\": 0.7668711656441718,\n \"acc_norm_stderr\": 0.0332201579577674\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.49107142857142855,\n\ \ \"acc_stderr\": 0.04745033255489123,\n \"acc_norm\": 0.49107142857142855,\n\ \ \"acc_norm_stderr\": 0.04745033255489123\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.7961165048543689,\n \"acc_stderr\": 0.03989139859531771,\n\ \ \"acc_norm\": 0.7961165048543689,\n \"acc_norm_stderr\": 0.03989139859531771\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.8717948717948718,\n\ \ \"acc_stderr\": 0.02190190511507333,\n \"acc_norm\": 0.8717948717948718,\n\ \ \"acc_norm_stderr\": 0.02190190511507333\n },\n \"harness\|hendrycksTest-medical_genetics\|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-miscellaneous\|5\": {\n \"acc\": 0.8263090676883781,\n\ \ \"acc_stderr\": 0.013547415658662257,\n \"acc_norm\": 0.8263090676883781,\n\ \ \"acc_norm_stderr\": 0.013547415658662257\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.7196531791907514,\n \"acc_stderr\": 0.02418242749657761,\n\ \ \"acc_norm\": 0.7196531791907514,\n \"acc_norm_stderr\": 0.02418242749657761\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.36089385474860336,\n\ \ \"acc_stderr\": 0.01606229067111047,\n \"acc_norm\": 0.36089385474860336,\n\ \ \"acc_norm_stderr\": 0.01606229067111047\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.7483660130718954,\n \"acc_stderr\": 0.024848018263875192,\n\ \ \"acc_norm\": 0.7483660130718954,\n \"acc_norm_stderr\": 0.024848018263875192\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.7266881028938906,\n\ \ \"acc_stderr\": 0.025311765975426122,\n \"acc_norm\": 0.7266881028938906,\n\ \ \"acc_norm_stderr\": 0.025311765975426122\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.7469135802469136,\n \"acc_stderr\": 0.024191808600713,\n\ \ \"acc_norm\": 0.7469135802469136,\n \"acc_norm_stderr\": 0.024191808600713\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.48226950354609927,\n \"acc_stderr\": 0.02980873964223777,\n \ \ \"acc_norm\": 0.48226950354609927,\n \"acc_norm_stderr\": 0.02980873964223777\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.4511082138200782,\n\ \ \"acc_stderr\": 0.012709037347346233,\n \"acc_norm\": 0.4511082138200782,\n\ \ \"acc_norm_stderr\": 0.012709037347346233\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.7022058823529411,\n \"acc_stderr\": 0.02777829870154544,\n\ \ \"acc_norm\": 0.7022058823529411,\n \"acc_norm_stderr\": 0.02777829870154544\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.6683006535947712,\n \"acc_stderr\": 0.01904748523936038,\n \ \ \"acc_norm\": 0.6683006535947712,\n \"acc_norm_stderr\": 0.01904748523936038\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\": 0.7346938775510204,\n \"acc_stderr\": 0.028263889943784596,\n\ \ \"acc_norm\": 0.7346938775510204,\n \"acc_norm_stderr\": 0.028263889943784596\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.8407960199004975,\n\ \ \"acc_stderr\": 0.02587064676616913,\n \"acc_norm\": 0.8407960199004975,\n\ \ \"acc_norm_stderr\": 0.02587064676616913\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\": 0.5240963855421686,\n\ \ \"acc_stderr\": 0.03887971849597264,\n \"acc_norm\": 0.5240963855421686,\n\ \ \"acc_norm_stderr\": 0.03887971849597264\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.8304093567251462,\n \"acc_stderr\": 0.02878210810540171,\n\ \ \"acc_norm\": 0.8304093567251462,\n \"acc_norm_stderr\": 0.02878210810540171\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.4320685434516524,\n\ \ \"mc1_stderr\": 0.01734120239498826,\n \"mc2\": 0.6006356075996195,\n\ \ \"mc2_stderr\": 0.015505899675520648\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.7924230465666929,\n \"acc_stderr\": 0.011398593419386784\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.6072782410917361,\n \ \ \"acc_stderr\": 0.013451745349586576\n }\n}\n```" repo_url: https://huggingface.co/MisterRid/saulgoodman-2x7b-alpha1 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_20T22_30_24.854096 path: - '/details_harness\|arc:challenge\|25_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-12-20T22-30-24.854096.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '/details_harness\|gsm8k\|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_12_20T22_30_24.854096 path: - '/details_harness\|hellaswag\|10_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-12-20T22-30-24.854096.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '/details_harness\|hendrycksTest-management\|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '/details_harness\|hendrycksTest-virology\|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_12_20T22_30_24.854096 path: - '/details_harness\|truthfulqa:mc\|0_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-12-20T22-30-24.854096.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '/details_harness\|winogrande\|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-12-20T22-30-24.854096.parquet' - config_name: results data_files: - split: 2023_12_20T22_30_24.854096 path: - results_2023-12-20T22-30-24.854096.parquet - split: latest path: - results_2023-12-20T22-30-24.854096.parquet --- # Dataset Card for Evaluation run of MisterRid/saulgoodman-2x7b-alpha1 <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [MisterRid/saulgoodman-2x7b-alpha1](https://huggingface.co/MisterRid/saulgoodman-2x7b-alpha1) 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_MisterRid__saulgoodman-2x7b-alpha1", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-12-20T22:30:24.854096](https://huggingface.co/datasets/open-llm-leaderboard/details_MisterRid__saulgoodman-2x7b-alpha1/blob/main/results_2023-12-20T22-30-24.854096.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": 0.6511172644532761, "acc_stderr": 0.03210282974235949, "acc_norm": 0.6531681519171342, "acc_norm_stderr": 0.032744836386602465, "mc1": 0.4320685434516524, "mc1_stderr": 0.01734120239498826, "mc2": 0.6006356075996195, "mc2_stderr": 0.015505899675520648 }, "harness\|arc:challenge\|25": { "acc": 0.6262798634812287, "acc_stderr": 0.014137708601759093, "acc_norm": 0.6621160409556314, "acc_norm_stderr": 0.01382204792228351 }, "harness\|hellaswag\|10": { "acc": 0.6709818761202948, "acc_stderr": 0.004688963175758129, "acc_norm": 0.8536148177653854, "acc_norm_stderr": 0.003527695149823515 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.37, "acc_stderr": 0.04852365870939099, "acc_norm": 0.37, "acc_norm_stderr": 0.04852365870939099 }, "harness\|hendrycksTest-anatomy\|5": { "acc": 0.6074074074074074, "acc_stderr": 0.0421850621536888, "acc_norm": 0.6074074074074074, "acc_norm_stderr": 0.0421850621536888 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.6907894736842105, "acc_stderr": 0.037610708698674805, "acc_norm": 0.6907894736842105, "acc_norm_stderr": 0.037610708698674805 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.61, "acc_stderr": 0.04902071300001975, "acc_norm": 0.61, "acc_norm_stderr": 0.04902071300001975 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.7018867924528301, "acc_stderr": 0.02815283794249387, "acc_norm": 0.7018867924528301, "acc_norm_stderr": 0.02815283794249387 }, "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": 0.47, "acc_stderr": 0.05016135580465919, "acc_norm": 0.47, "acc_norm_stderr": 0.05016135580465919 }, "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": 0.35, "acc_stderr": 0.047937248544110175, "acc_norm": 0.35, "acc_norm_stderr": 0.047937248544110175 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.6416184971098265, "acc_stderr": 0.036563436533531585, "acc_norm": 0.6416184971098265, "acc_norm_stderr": 0.036563436533531585 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.39215686274509803, "acc_stderr": 0.048580835742663454, "acc_norm": 0.39215686274509803, "acc_norm_stderr": 0.048580835742663454 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.8, "acc_stderr": 0.04020151261036845, "acc_norm": 0.8, "acc_norm_stderr": 0.04020151261036845 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.5914893617021276, "acc_stderr": 0.032134180267015755, "acc_norm": 0.5914893617021276, "acc_norm_stderr": 0.032134180267015755 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.5, "acc_stderr": 0.047036043419179864, "acc_norm": 0.5, "acc_norm_stderr": 0.047036043419179864 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.5862068965517241, "acc_stderr": 0.04104269211806232, "acc_norm": 0.5862068965517241, "acc_norm_stderr": 0.04104269211806232 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.4126984126984127, "acc_stderr": 0.025355741263055273, "acc_norm": 0.4126984126984127, "acc_norm_stderr": 0.025355741263055273 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.4523809523809524, "acc_stderr": 0.04451807959055328, "acc_norm": 0.4523809523809524, "acc_norm_stderr": 0.04451807959055328 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.4, "acc_stderr": 0.04923659639173309, "acc_norm": 0.4, "acc_norm_stderr": 0.04923659639173309 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.8096774193548387, "acc_stderr": 0.022331707611823078, "acc_norm": 0.8096774193548387, "acc_norm_stderr": 0.022331707611823078 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.5320197044334976, "acc_stderr": 0.03510766597959215, "acc_norm": 0.5320197044334976, "acc_norm_stderr": 0.03510766597959215 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.7, "acc_stderr": 0.046056618647183814, "acc_norm": 0.7, "acc_norm_stderr": 0.046056618647183814 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.7636363636363637, "acc_stderr": 0.03317505930009181, "acc_norm": 0.7636363636363637, "acc_norm_stderr": 0.03317505930009181 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.7929292929292929, "acc_stderr": 0.028869778460267042, "acc_norm": 0.7929292929292929, "acc_norm_stderr": 0.028869778460267042 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.8963730569948186, "acc_stderr": 0.02199531196364424, "acc_norm": 0.8963730569948186, "acc_norm_stderr": 0.02199531196364424 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.6615384615384615, "acc_stderr": 0.02399150050031304, "acc_norm": 0.6615384615384615, "acc_norm_stderr": 0.02399150050031304 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.36666666666666664, "acc_stderr": 0.029381620726465066, "acc_norm": 0.36666666666666664, "acc_norm_stderr": 0.029381620726465066 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.6890756302521008, "acc_stderr": 0.030066761582977927, "acc_norm": 0.6890756302521008, "acc_norm_stderr": 0.030066761582977927 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.3509933774834437, "acc_stderr": 0.03896981964257375, "acc_norm": 0.3509933774834437, "acc_norm_stderr": 0.03896981964257375 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.8458715596330275, "acc_stderr": 0.015480826865374303, "acc_norm": 0.8458715596330275, "acc_norm_stderr": 0.015480826865374303 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.5185185185185185, "acc_stderr": 0.03407632093854051, "acc_norm": 0.5185185185185185, "acc_norm_stderr": 0.03407632093854051 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.8235294117647058, "acc_stderr": 0.02675640153807896, "acc_norm": 0.8235294117647058, "acc_norm_stderr": 0.02675640153807896 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.810126582278481, "acc_stderr": 0.025530100460233483, "acc_norm": 0.810126582278481, "acc_norm_stderr": 0.025530100460233483 }, "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": 0.7709923664122137, "acc_stderr": 0.036853466317118506, "acc_norm": 0.7709923664122137, "acc_norm_stderr": 0.036853466317118506 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.7933884297520661, "acc_stderr": 0.03695980128098824, "acc_norm": 0.7933884297520661, "acc_norm_stderr": 0.03695980128098824 }, "harness\|hendrycksTest-jurisprudence\|5": { "acc": 0.7870370370370371, "acc_stderr": 0.0395783547198098, "acc_norm": 0.7870370370370371, "acc_norm_stderr": 0.0395783547198098 }, "harness\|hendrycksTest-logical_fallacies\|5": { "acc": 0.7668711656441718, "acc_stderr": 0.0332201579577674, "acc_norm": 0.7668711656441718, "acc_norm_stderr": 0.0332201579577674 }, "harness\|hendrycksTest-machine_learning\|5": { "acc": 0.49107142857142855, "acc_stderr": 0.04745033255489123, "acc_norm": 0.49107142857142855, "acc_norm_stderr": 0.04745033255489123 }, "harness\|hendrycksTest-management\|5": { "acc": 0.7961165048543689, "acc_stderr": 0.03989139859531771, "acc_norm": 0.7961165048543689, "acc_norm_stderr": 0.03989139859531771 }, "harness\|hendrycksTest-marketing\|5": { "acc": 0.8717948717948718, "acc_stderr": 0.02190190511507333, "acc_norm": 0.8717948717948718, "acc_norm_stderr": 0.02190190511507333 }, "harness\|hendrycksTest-medical_genetics\|5": { "acc": 0.73, "acc_stderr": 0.0446196043338474, "acc_norm": 0.73, "acc_norm_stderr": 0.0446196043338474 }, "harness\|hendrycksTest-miscellaneous\|5": { "acc": 0.8263090676883781, "acc_stderr": 0.013547415658662257, "acc_norm": 0.8263090676883781, "acc_norm_stderr": 0.013547415658662257 }, "harness\|hendrycksTest-moral_disputes\|5": { "acc": 0.7196531791907514, "acc_stderr": 0.02418242749657761, "acc_norm": 0.7196531791907514, "acc_norm_stderr": 0.02418242749657761 }, "harness\|hendrycksTest-moral_scenarios\|5": { "acc": 0.36089385474860336, "acc_stderr": 0.01606229067111047, "acc_norm": 0.36089385474860336, "acc_norm_stderr": 0.01606229067111047 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.7483660130718954, "acc_stderr": 0.024848018263875192, "acc_norm": 0.7483660130718954, "acc_norm_stderr": 0.024848018263875192 }, "harness\|hendrycksTest-philosophy\|5": { "acc": 0.7266881028938906, "acc_stderr": 0.025311765975426122, "acc_norm": 0.7266881028938906, "acc_norm_stderr": 0.025311765975426122 }, "harness\|hendrycksTest-prehistory\|5": { "acc": 0.7469135802469136, "acc_stderr": 0.024191808600713, "acc_norm": 0.7469135802469136, "acc_norm_stderr": 0.024191808600713 }, "harness\|hendrycksTest-professional_accounting\|5": { "acc": 0.48226950354609927, "acc_stderr": 0.02980873964223777, "acc_norm": 0.48226950354609927, "acc_norm_stderr": 0.02980873964223777 }, "harness\|hendrycksTest-professional_law\|5": { "acc": 0.4511082138200782, "acc_stderr": 0.012709037347346233, "acc_norm": 0.4511082138200782, "acc_norm_stderr": 0.012709037347346233 }, "harness\|hendrycksTest-professional_medicine\|5": { "acc": 0.7022058823529411, "acc_stderr": 0.02777829870154544, "acc_norm": 0.7022058823529411, "acc_norm_stderr": 0.02777829870154544 }, "harness\|hendrycksTest-professional_psychology\|5": { "acc": 0.6683006535947712, "acc_stderr": 0.01904748523936038, "acc_norm": 0.6683006535947712, "acc_norm_stderr": 0.01904748523936038 }, "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": 0.7346938775510204, "acc_stderr": 0.028263889943784596, "acc_norm": 0.7346938775510204, "acc_norm_stderr": 0.028263889943784596 }, "harness\|hendrycksTest-sociology\|5": { "acc": 0.8407960199004975, "acc_stderr": 0.02587064676616913, "acc_norm": 0.8407960199004975, "acc_norm_stderr": 0.02587064676616913 }, "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": 0.5240963855421686, "acc_stderr": 0.03887971849597264, "acc_norm": 0.5240963855421686, "acc_norm_stderr": 0.03887971849597264 }, "harness\|hendrycksTest-world_religions\|5": { "acc": 0.8304093567251462, "acc_stderr": 0.02878210810540171, "acc_norm": 0.8304093567251462, "acc_norm_stderr": 0.02878210810540171 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.4320685434516524, "mc1_stderr": 0.01734120239498826, "mc2": 0.6006356075996195, "mc2_stderr": 0.015505899675520648 }, "harness\|winogrande\|5": { "acc": 0.7924230465666929, "acc_stderr": 0.011398593419386784 }, "harness\|gsm8k\|5": { "acc": 0.6072782410917361, "acc_stderr": 0.013451745349586576 } } ``` ## 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]
mmakipaa/shs_descriptions	--- language: - en license: - cc-by-4.0 pretty_name: Social and Health Care Service Descriptions --- # Social and Health Care Service Descriptions This repository hosts a dataset of service descriptions for social and health care services provided by the city of Helsinki. The data is sourced from the TPR Service Description Register REST API (see [here](https://www.hel.fi/palvelukarttaws/restpages/palvelurekisteri_en.html) for more details). The service descriptions are shared under a Creative Commons 4.0 BY license, explicitly permitting data sharing and remixing. ## Dataset Construction The dataset was constructed by fetching service descriptions from the REST API. The query targeted services under the `SOCIAL_AND_HEALTH_SERVICES` main theme and returned 361 services with English language descriptions. ```python url = 'https://www.hel.fi/palvelukarttaws/rest/vpalvelurekisteri/description/' params = {'maintheme': 'SOCIAL_AND_HEALTH_SERVICES', 'alldata': 'yes', 'language': 'en'} ``` Each service description may link to additional errand services. The additional 64 errand service descriptions of linked services were also retrieved: ```python for shs in shs_json: errand_services_list += shs['exact_errand_services'] errand_service_set = set(errand_services_list) for errand_service_id in errand_service_set: url = 'https://www.hel.fi/palvelukarttaws/rest/vpalvelurekisteri/errandservice/' + str(errand_service_id) params = {'language': 'en', 'alldata': 'yes'} ``` ## Dataset contents The dataset is comprised of two files: 1. `shs_descriptions.json.gz`: This file combines the JSON service descriptions returned by the API, the text descriptions, and the text embeddings into a single JSON file. 2. `chroma.sqlite3`: This is a Chroma DB file that uses the text embeddings to index the service text descriptions. ### Service Descriptions The service descriptions are provided in JSON format as returned by the API. ### Text desciptions Text descriptions combine service information from the JSON description and linked errand services into a single description for each service. The descriptions have been refined, with relevant fields selected and additional processing performed on e.g. target groups and contact channels associated with the services. ### Text Embeddings Embeddings of the text descriptions have been created using OpenAI's `text-embedding-ada-002` model.
AlekseyKorshuk/PIPPA-lmgym	--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: input_text dtype: string - name: output_text dtype: string splits: - name: train num_bytes: 32569932093 num_examples: 398603 download_size: 443538444 dataset_size: 32569932093 --- # Dataset Card for "PIPPA-lmgym" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
CyberHarem/hinatsuki_mikan_thedemongirlnextdoor	--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of Hinatsuki Mikan This is the dataset of Hinatsuki Mikan, containing 291 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)). \| Name \| Images \| Download \| Description \| \|:------------\|---------:\|:------------------------------------\|:-------------------------------------------------------------------------\| \| raw \| 291 \| [Download](dataset-raw.zip) \| Raw data with meta information. \| \| raw-stage3 \| 700 \| [Download](dataset-raw-stage3.zip) \| 3-stage cropped raw data with meta information. \| \| 384x512 \| 291 \| [Download](dataset-384x512.zip) \| 384x512 aligned dataset. \| \| 512x512 \| 291 \| [Download](dataset-512x512.zip) \| 512x512 aligned dataset. \| \| 512x704 \| 291 \| [Download](dataset-512x704.zip) \| 512x704 aligned dataset. \| \| 640x640 \| 291 \| [Download](dataset-640x640.zip) \| 640x640 aligned dataset. \| \| 640x880 \| 291 \| [Download](dataset-640x880.zip) \| 640x880 aligned dataset. \| \| stage3-640 \| 700 \| [Download](dataset-stage3-640.zip) \| 3-stage cropped dataset with the shorter side not exceeding 640 pixels. \| \| stage3-800 \| 700 \| [Download](dataset-stage3-800.zip) \| 3-stage cropped dataset with the shorter side not exceeding 800 pixels. \| \| stage3-1200 \| 700 \| [Download](dataset-stage3-1200.zip) \| 3-stage cropped dataset with the shorter side not exceeding 1200 pixels. \|
jilp00/YouToks-Instruct-Quantum-Physics-I	--- dataset_info: features: - name: text dtype: string - name: token_count dtype: int64 - name: response dtype: string - name: system_prompt dtype: string - name: question dtype: string - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 2291867 num_examples: 942 download_size: 1118705 dataset_size: 2291867 configs: - config_name: default data_files: - split: train path: data/train-* ---
arbitropy/phi-ft-coqa-format	--- dataset_info: features: - name: prompt dtype: string splits: - name: train num_bytes: 225741 num_examples: 89 download_size: 47383 dataset_size: 225741 configs: - config_name: default data_files: - split: train path: data/train-* ---
autoevaluate/autoeval-staging-eval-project-7a996eab-fd9f-4453-b298-d76d6134fbe7-111108	--- type: predictions tags: - autotrain - evaluation datasets: - glue eval_info: task: binary_classification model: autoevaluate/binary-classification metrics: ['matthews_correlation'] dataset_name: glue dataset_config: sst2 dataset_split: validation col_mapping: text: sentence target: label --- # Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Binary Text Classification * Model: autoevaluate/binary-classification * Dataset: glue * Config: sst2 * Split: validation 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.
harishvs/ecommerce-faq-llama2-QA	--- language: - en license: apache-2.0 size_categories: - n<1K task_categories: - question-answering dataset_info: features: - name: instruction dtype: string - name: context dtype: string - name: response dtype: string - name: category dtype: string splits: - name: train num_bytes: 118516 num_examples: 78 download_size: 33845 dataset_size: 118516 configs: - config_name: default data_files: - split: train path: data/train-* ---
SEACrowd/code_mixed_jv_id	--- tags: - sentiment-analysis - machine-translation language: - jav - ind --- # code_mixed_jv_id Sentiment analysis and machine translation data for Javanese and Indonesian. ## Dataset Usage Run `pip install nusacrowd` before loading the dataset through HuggingFace's `load_dataset`. ## Citation ``` @article{Tho_2021, doi = {10.1088/1742-6596/1869/1/012084}, url = {https://doi.org/10.1088/1742-6596/1869/1/012084}, year = 2021, month = {apr}, publisher = {{IOP} Publishing}, volume = {1869}, number = {1}, pages = {012084}, author = {C Tho and Y Heryadi and L Lukas and A Wibowo}, title = {Code-mixed sentiment analysis of Indonesian language and Javanese language using Lexicon based approach}, journal = {Journal of Physics: Conference Series}, abstract = {Nowadays mixing one language with another language either in spoken or written communication has become a common practice for bilingual speakers in daily conversation as well as in social media. Lexicon based approach is one of the approaches in extracting the sentiment analysis. This study is aimed to compare two lexicon models which are SentiNetWord and VADER in extracting the polarity of the code-mixed sentences in Indonesian language and Javanese language. 3,963 tweets were gathered from two accounts that provide code-mixed tweets. Pre-processing such as removing duplicates, translating to English, filter special characters, transform lower case and filter stop words were conducted on the tweets. Positive and negative word score from lexicon model was then calculated using simple mathematic formula in order to classify the polarity. By comparing with the manual labelling, the result showed that SentiNetWord perform better than VADER in negative sentiments. However, both of the lexicon model did not perform well in neutral and positive sentiments. On overall performance, VADER showed better performance than SentiNetWord. This study showed that the reason for the misclassified was that most of Indonesian language and Javanese language consist of words that were considered as positive in both Lexicon model.} } ``` ## License cc_by_3.0 ## Homepage [https://iopscience.iop.org/article/10.1088/1742-6596/1869/1/012084](https://iopscience.iop.org/article/10.1088/1742-6596/1869/1/012084) ### NusaCatalogue For easy indexing and metadata: [https://indonlp.github.io/nusa-catalogue](https://indonlp.github.io/nusa-catalogue)
CyberHarem/nakano_nino_gotoubunnohanayome	--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of Nakano Nino/中野二乃/长发二乃 (Gotoubun no Hanayome) This is the dataset of Nakano Nino/中野二乃/长发二乃 (Gotoubun no Hanayome), containing 537 images and their tags. The core tags of this character are `pink_hair, blunt_bangs, hair_ornament, ribbon, butterfly_hair_ornament, black_ribbon, hair_ribbon, blue_eyes, two_side_up, long_hair, breasts, short_hair, red_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 \| 537 \| 380.21 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/nakano_nino_gotoubunnohanayome/resolve/main/dataset-raw.zip) \| Waifuc-Raw \| Raw data with meta information (min edge aligned to 1400 if larger). \| \| 1200 \| 537 \| 364.76 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/nakano_nino_gotoubunnohanayome/resolve/main/dataset-1200.zip) \| IMG+TXT \| dataset with the shorter side not exceeding 1200 pixels. \| \| stage3-p480-1200 \| 1117 \| 687.09 MiB \| [Download](https://huggingface.co/datasets/CyberHarem/nakano_nino_gotoubunnohanayome/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/nakano_nino_gotoubunnohanayome', 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) \| 2girls, sisters, blush, open_mouth, solo_focus \| \| 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) \| 2girls, blush, sisters, closed_mouth, shirt, looking_at_another, medium_hair, brown_hair, close-up, from_side, sweater, upper_body, yuri \| \| 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_cardigan, closed_mouth, open_cardigan, white_shirt, blush, indoors, large_breasts, medium_hair, school_uniform, collared_shirt, frown, upper_body, v-shaped_eyebrows, eyebrows_hidden_by_hair, sweatdrop, 1boy, blurry, collarbone, solo_focus \| \| 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, black_cardigan, blush, closed_mouth, from_side, school_uniform, solo, white_shirt, green_skirt, large_breasts, open_cardigan, profile, sleeves_past_wrists, sweatdrop \| \| 4 \| 13 \| ![](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_cardigan, white_shirt, blush, solo, collared_shirt, looking_at_viewer, medium_hair, eyebrows_hidden_by_hair, open_cardigan, v-shaped_eyebrows, parody, closed_mouth, frown, open_mouth, school_uniform, sweatdrop \| \| 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, closed_eyes, closed_mouth, collared_shirt, medium_hair, solo, white_shirt, indoors, parody, portrait, black_cardigan, blurry_background, facing_viewer, school_uniform, close-up, frown, sweatdrop \| \| 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) \| 1girl, collared_shirt, green_skirt, open_cardigan, pleated_skirt, school_uniform, solo, very_long_hair, white_shirt, white_thighhighs, zettai_ryouiki, black_cardigan, blush, closed_eyes, closed_mouth, dress_shirt, indoors, long_sleeves, bag, large_breasts, standing, frown, sitting, thighs, v-shaped_eyebrows \| \| 7 \| 5 \| ![](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, blush, closed_mouth, solo, white_shirt, indoors, collared_shirt, frown, looking_at_viewer, large_breasts, medium_hair, upper_body \| \| 8 \| 10 \| ![](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, closed_mouth, solo, from_side, frown, profile, portrait, close-up \| \| 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, solo, blush, open_mouth, portrait, looking_at_viewer, close-up, parody, teeth, v-shaped_eyebrows \| \| 10 \| 6 \| ![](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, close-up, solo, blurry_background, blush, indoors, looking_at_viewer, closed_mouth, eyebrows_hidden_by_hair, portrait, white_shirt \| \| 11 \| 18 \| ![](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, blush, white_shirt, forest, outdoors, night, frills, very_long_hair, large_breasts, skirt, solo, smile, long_sleeves, tree, from_side \| \| 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, blush, frown, ponytail, sidelocks, alternate_hairstyle, black_shirt, closed_mouth, collarbone, eyebrows_hidden_by_hair, looking_at_viewer, purple_eyes, straight_hair, upper_body, v-shaped_eyebrows, solo \| \| 13 \| 5 \| ![](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, blush, closed_mouth, large_breasts, smile, sweater, upper_body, arms_under_breasts, crossed_arms, nail_polish, solo, apron, dress, shirt \| \| 14 \| 16 \| ![](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, 1boy, large_breasts, naked_towel, cleavage, collarbone, white_shirt, open_mouth, black_hair, looking_at_another, very_long_hair, hetero, nail_polish \| \| 15 \| 11 \| ![](samples/15/clu15-sample0.png) \| ![](samples/15/clu15-sample1.png) \| ![](samples/15/clu15-sample2.png) \| ![](samples/15/clu15-sample3.png) \| ![](samples/15/clu15-sample4.png) \| 1girl, purple_kimono, yukata, blush, obi, solo_focus, holding, open_mouth, purple_eyes, outdoors, 1boy, closed_mouth, multiple_girls, night, smile, summer_festival, very_long_hair, wide_sleeves \| \| 16 \| 7 \| ![](samples/16/clu16-sample0.png) \| ![](samples/16/clu16-sample1.png) \| ![](samples/16/clu16-sample2.png) \| ![](samples/16/clu16-sample3.png) \| ![](samples/16/clu16-sample4.png) \| 1girl, indoors, track_jacket, track_pants, sitting, open_mouth, red_pants, red_track_suit, from_side, sandals, red_jacket \| ### Table Version \| # \| Samples \| Img-1 \| Img-2 \| Img-3 \| Img-4 \| Img-5 \| 2girls \| sisters \| blush \| open_mouth \| solo_focus \| closed_mouth \| shirt \| looking_at_another \| medium_hair \| brown_hair \| close-up \| from_side \| sweater \| upper_body \| yuri \| 1girl \| black_cardigan \| open_cardigan \| white_shirt \| indoors \| large_breasts \| school_uniform \| collared_shirt \| frown \| v-shaped_eyebrows \| eyebrows_hidden_by_hair \| sweatdrop \| 1boy \| blurry \| collarbone \| solo \| green_skirt \| profile \| sleeves_past_wrists \| looking_at_viewer \| parody \| closed_eyes \| portrait \| blurry_background \| facing_viewer \| pleated_skirt \| very_long_hair \| white_thighhighs \| zettai_ryouiki \| dress_shirt \| long_sleeves \| bag \| standing \| sitting \| thighs \| teeth \| forest \| outdoors \| night \| frills \| skirt \| smile \| tree \| ponytail \| sidelocks \| alternate_hairstyle \| black_shirt \| purple_eyes \| straight_hair \| arms_under_breasts \| crossed_arms \| nail_polish \| apron \| dress \| naked_towel \| cleavage \| black_hair \| hetero \| purple_kimono \| yukata \| obi \| holding \| multiple_girls \| summer_festival \| wide_sleeves \| track_jacket \| track_pants \| red_pants \| red_track_suit \| sandals \| red_jacket \| \|----:\|----------:\|:----------------------------------\|:----------------------------------\|:----------------------------------\|:----------------------------------\|:----------------------------------\|:---------\|:----------\|:--------\|:-------------\|:-------------\|:---------------\|:--------\|:---------------------\|:--------------\|:-------------\|:-----------\|:------------\|:----------\|:-------------\|:-------\|:--------\|:-----------------\|:----------------\|:--------------\|:----------\|:----------------\|:-----------------\|:-----------------\|:--------\|:--------------------\|:--------------------------\|:------------\|:-------\|:---------\|:-------------\|:-------\|:--------------\|:----------\|:----------------------\|:--------------------\|:---------\|:--------------\|:-----------\|:--------------------\|:----------------\|:----------------\|:-----------------\|:-------------------\|:-----------------\|:--------------\|:---------------\|:------\|:-----------\|:----------\|:---------\|:--------\|:---------\|:-----------\|:--------\|:---------\|:--------\|:--------\|:-------\|:-----------\|:------------\|:----------------------\|:--------------\|:--------------\|:----------------\|:---------------------\|:---------------\|:--------------\|:--------\|:--------\|:--------------\|:-----------\|:-------------\|:---------\|:----------------\|:---------\|:------\|:----------\|:-----------------\|:------------------\|:---------------\|:---------------\|:--------------\|:------------\|:-----------------\|:----------\|:-------------\| \| 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 \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 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 \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 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 \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 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 \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 4 \| 13 \| ![](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 \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 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 \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 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 \| X \| X \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 7 \| 5 \| ![](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 \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 8 \| 10 \| ![](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 \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 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 \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 10 \| 6 \| ![](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 \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 11 \| 18 \| ![](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 \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 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 \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 13 \| 5 \| ![](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 \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 14 \| 16 \| ![](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 \| \| \| X \| \| X \| \| \| \| \| \| \| X \| \| X \| \| \| \| \| \| \| \| \| \| \| \| X \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| X \| \| \| X \| X \| X \| X \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| 15 \| 11 \| ![](samples/15/clu15-sample0.png) \| ![](samples/15/clu15-sample1.png) \| ![](samples/15/clu15-sample2.png) \| ![](samples/15/clu15-sample3.png) \| ![](samples/15/clu15-sample4.png) \| \| \| X \| X \| X \| X \| \| \| \| \| \| \| \| \| \| X \| \| \| \| \| \| \| \| \| \| \| \| X \| \| \| \| \| \| \| \| \| \| \| \| \| \| X \| \| \| \| \| \| \| \| \| \| \| X \| X \| \| \| X \| \| \| \| \| \| X \| \| \| \| \| \| \| \| \| \| \| X \| X \| X \| X \| X \| X \| X \| \| \| \| \| \| \| \| 16 \| 7 \| ![](samples/16/clu16-sample0.png) \| ![](samples/16/clu16-sample1.png) \| ![](samples/16/clu16-sample2.png) \| ![](samples/16/clu16-sample3.png) \| ![](samples/16/clu16-sample4.png) \| \| \| \| X \| \| \| \| \| \| \| \| X \| \| \| \| X \| \| \| \| X \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| X \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| \| X \| X \| X \| X \| X \| X \|
NiGuLa/Russian_Sensitive_Topics	--- language: - ru tags: - toxic comments classification license: cc task_categories: - text-classification size_categories: - 10K<n<100K --- ## General concept of the model Sensitive topics are such topics that have a high chance of initiating a toxic conversation: homophobia, politics, racism, etc. This dataset uses 18 topics. More details can be found [in this article ](https://www.aclweb.org/anthology/2021.bsnlp-1.4/) presented at the workshop for Balto-Slavic NLP at the EACL-2021 conference. This paper presents the first version of this dataset. Here you can see the last version of the dataset which is significantly larger and also properly filtered. ## Licensing Information [Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License][cc-by-nc-sa]. [![CC BY-NC-SA 4.0][cc-by-nc-sa-image]][cc-by-nc-sa] [cc-by-nc-sa]: http://creativecommons.org/licenses/by-nc-sa/4.0/ [cc-by-nc-sa-image]: https://i.creativecommons.org/l/by-nc-sa/4.0/88x31.png ## Citation If you find this repository helpful, feel free to cite our publication: ``` @inproceedings{babakov-etal-2021-detecting, title = "Detecting Inappropriate Messages on Sensitive Topics that Could Harm a Company{'}s Reputation", author = "Babakov, Nikolay and Logacheva, Varvara and Kozlova, Olga and Semenov, Nikita and Panchenko, Alexander", booktitle = "Proceedings of the 8th Workshop on Balto-Slavic Natural Language Processing", month = apr, year = "2021", address = "Kiyv, Ukraine", publisher = "Association for Computational Linguistics", url = "https://www.aclweb.org/anthology/2021.bsnlp-1.4", pages = "26--36", abstract = "Not all topics are equally {``}flammable{''} in terms of toxicity: a calm discussion of turtles or fishing less often fuels inappropriate toxic dialogues than a discussion of politics or sexual minorities. We define a set of sensitive topics that can yield inappropriate and toxic messages and describe the methodology of collecting and labelling a dataset for appropriateness. While toxicity in user-generated data is well-studied, we aim at defining a more fine-grained notion of inappropriateness. The core of inappropriateness is that it can harm the reputation of a speaker. This is different from toxicity in two respects: (i) inappropriateness is topic-related, and (ii) inappropriate message is not toxic but still unacceptable. We collect and release two datasets for Russian: a topic-labelled dataset and an appropriateness-labelled dataset. We also release pre-trained classification models trained on this data.", } ```
PrimeSage/111	--- license: other ---
345rf4gt56t4r3e3/lstm_crypto_dataset	--- license: mit tags: - cryptocurrency - finance - parquet - data pretty_name: Dataset for training complex lstm models. size_categories: - 1M<n<10M --- ![image/png](https://cdn-uploads.huggingface.co/production/uploads/64beae95e38420aabaf83456/uD6ARqk4WctPG5EY996LA.png) This is dataset where we try to put a lot of data into an LSTM and see what we get.
DavidVivancos/MindBigData2022_MNIST_MW	--- license: odbl ---
freshpearYoon/vr_train_free_15	--- dataset_info: features: - name: audio struct: - name: array sequence: float64 - name: path dtype: string - name: sampling_rate dtype: int64 - name: filename dtype: string - name: NumOfUtterance dtype: int64 - name: text dtype: string - name: samplingrate dtype: int64 - name: begin_time dtype: float64 - name: end_time dtype: float64 - name: speaker_id dtype: string - name: directory dtype: string splits: - name: train num_bytes: 5811472140 num_examples: 10000 download_size: 915796936 dataset_size: 5811472140 configs: - config_name: default data_files: - split: train path: data/train-* ---
mikeg2/ashg5	--- license: openrail ---
gimmaru/super_glue-cb	--- dataset_info: features: - name: premise dtype: string - name: hypothesis dtype: string - name: idx dtype: int32 - name: label dtype: class_label: names: '0': entailment '1': contradiction '2': neutral splits: - name: validation num_bytes: 21851 num_examples: 56 download_size: 0 dataset_size: 21851 --- # Dataset Card for "super_glue-cb" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) Note: This dataset was utilized for the evaluation of probability-based prompt selection techniques in the paper '[Improving Probability-based Prompt Selection Through Unified Evaluation and Analysis](https://arxiv.org/abs/2305.14877)'. It differs from the actual benchmark dataset.
hassansh/Llama-2-7b-hf	--- dataset_info: features: - name: subject dtype: string - name: accuracy dtype: float64 - name: accuracy_abcd dtype: float64 - name: cross_entropy dtype: float64 - name: abcd_avg_probs sequence: float64 - name: abcd_std_probs sequence: float64 - name: num_qs dtype: int64 - name: time dtype: float64 splits: - name: test num_bytes: 11242 num_examples: 57 download_size: 13780 dataset_size: 11242 configs: - config_name: default data_files: - split: test path: data/test-* ---
xwjzds/ag_newskeywords	--- dataset_info: features: - name: keyword dtype: string - name: score dtype: float64 splits: - name: train num_bytes: 31466 num_examples: 1760 download_size: 31546 dataset_size: 31466 --- # Dataset Card for "ag_newskeywords" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
ACINTIAJULIANA/Cintia	--- license: openrail ---
nbalepur/UnifiedMCQA_irrelevant	--- configs: - config_name: default data_files: - split: train path: data/train-* - split: eval path: data/eval-* - split: test path: data/test-* dataset_info: features: - name: question dtype: string - name: choices sequence: string - name: answer_letter dtype: string - name: dataset dtype: string - name: question_type dtype: string splits: - name: train num_bytes: 28545264.798323218 num_examples: 132248 - name: eval num_bytes: 3172943.2016767836 num_examples: 14700 - name: test num_bytes: 3469035.0 num_examples: 15222 download_size: 16521371 dataset_size: 35187243.0 --- # Dataset Card for "UnifiedMCQA_irrelevant" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
deepghs/anime_ch_hair_length	--- license: mit task_categories: - image-classification tags: - art size_categories: - 10K<n<100K ---
threadberry/mini-platypus-two	--- 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-* ---
open-llm-leaderboard/details_Severian__Nexus-IKM-Mistral-7B-v5-instruction	--- pretty_name: Evaluation run of Severian/Nexus-IKM-Mistral-7B-v5-instruction dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [Severian/Nexus-IKM-Mistral-7B-v5-instruction](https://huggingface.co/Severian/Nexus-IKM-Mistral-7B-v5-instruction)\ \ 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_Severian__Nexus-IKM-Mistral-7B-v5-instruction\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-03-10T00:59:27.972031](https://huggingface.co/datasets/open-llm-leaderboard/details_Severian__Nexus-IKM-Mistral-7B-v5-instruction/blob/main/results_2024-03-10T00-59-27.972031.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\": 0.2477168147645942,\n\ \ \"acc_stderr\": 0.030566707099033714,\n \"acc_norm\": 0.24811298552173527,\n\ \ \"acc_norm_stderr\": 0.031378435870979805,\n \"mc1\": 0.23623011015911874,\n\ \ \"mc1_stderr\": 0.014869755015871096,\n \"mc2\": NaN,\n \"\ mc2_stderr\": NaN\n },\n \"harness\|arc:challenge\|25\": {\n \"acc\"\ : 0.2363481228668942,\n \"acc_stderr\": 0.012414960524301836,\n \"\ acc_norm\": 0.2773037542662116,\n \"acc_norm_stderr\": 0.013082095839059374\n\ \ },\n \"harness\|hellaswag\|10\": {\n \"acc\": 0.2671778530173272,\n\ \ \"acc_stderr\": 0.004415816696303075,\n \"acc_norm\": 0.2892850029874527,\n\ \ \"acc_norm_stderr\": 0.004525037849178834\n },\n \"harness\|hendrycksTest-abstract_algebra\|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-anatomy\|5\": {\n \"acc\": 0.22962962962962963,\n\ \ \"acc_stderr\": 0.036333844140734636,\n \"acc_norm\": 0.22962962962962963,\n\ \ \"acc_norm_stderr\": 0.036333844140734636\n },\n \"harness\|hendrycksTest-astronomy\|5\"\ : {\n \"acc\": 0.24342105263157895,\n \"acc_stderr\": 0.034923496688842384,\n\ \ \"acc_norm\": 0.24342105263157895,\n \"acc_norm_stderr\": 0.034923496688842384\n\ \ },\n \"harness\|hendrycksTest-business_ethics\|5\": {\n \"acc\": 0.21,\n\ \ \"acc_stderr\": 0.040936018074033256,\n \"acc_norm\": 0.21,\n \ \ \"acc_norm_stderr\": 0.040936018074033256\n },\n \"harness\|hendrycksTest-clinical_knowledge\|5\"\ : {\n \"acc\": 0.27169811320754716,\n \"acc_stderr\": 0.027377706624670716,\n\ \ \"acc_norm\": 0.27169811320754716,\n \"acc_norm_stderr\": 0.027377706624670716\n\ \ },\n \"harness\|hendrycksTest-college_biology\|5\": {\n \"acc\": 0.2152777777777778,\n\ \ \"acc_stderr\": 0.03437079344106133,\n \"acc_norm\": 0.2152777777777778,\n\ \ \"acc_norm_stderr\": 0.03437079344106133\n },\n \"harness\|hendrycksTest-college_chemistry\|5\"\ : {\n \"acc\": 0.31,\n \"acc_stderr\": 0.04648231987117316,\n \ \ \"acc_norm\": 0.31,\n \"acc_norm_stderr\": 0.04648231987117316\n \ \ },\n \"harness\|hendrycksTest-college_computer_science\|5\": {\n \"acc\"\ : 0.21,\n \"acc_stderr\": 0.04093601807403326,\n \"acc_norm\": 0.21,\n\ \ \"acc_norm_stderr\": 0.04093601807403326\n },\n \"harness\|hendrycksTest-college_mathematics\|5\"\ : {\n \"acc\": 0.24,\n \"acc_stderr\": 0.042923469599092816,\n \ \ \"acc_norm\": 0.24,\n \"acc_norm_stderr\": 0.042923469599092816\n \ \ },\n \"harness\|hendrycksTest-college_medicine\|5\": {\n \"acc\": 0.2658959537572254,\n\ \ \"acc_stderr\": 0.03368762932259431,\n \"acc_norm\": 0.2658959537572254,\n\ \ \"acc_norm_stderr\": 0.03368762932259431\n },\n \"harness\|hendrycksTest-college_physics\|5\"\ : {\n \"acc\": 0.28431372549019607,\n \"acc_stderr\": 0.04488482852329017,\n\ \ \"acc_norm\": 0.28431372549019607,\n \"acc_norm_stderr\": 0.04488482852329017\n\ \ },\n \"harness\|hendrycksTest-computer_security\|5\": {\n \"acc\":\ \ 0.26,\n \"acc_stderr\": 0.0440844002276808,\n \"acc_norm\": 0.26,\n\ \ \"acc_norm_stderr\": 0.0440844002276808\n },\n \"harness\|hendrycksTest-conceptual_physics\|5\"\ : {\n \"acc\": 0.24680851063829787,\n \"acc_stderr\": 0.0281854413012341,\n\ \ \"acc_norm\": 0.24680851063829787,\n \"acc_norm_stderr\": 0.0281854413012341\n\ \ },\n \"harness\|hendrycksTest-econometrics\|5\": {\n \"acc\": 0.2631578947368421,\n\ \ \"acc_stderr\": 0.04142439719489362,\n \"acc_norm\": 0.2631578947368421,\n\ \ \"acc_norm_stderr\": 0.04142439719489362\n },\n \"harness\|hendrycksTest-electrical_engineering\|5\"\ : {\n \"acc\": 0.2827586206896552,\n \"acc_stderr\": 0.03752833958003337,\n\ \ \"acc_norm\": 0.2827586206896552,\n \"acc_norm_stderr\": 0.03752833958003337\n\ \ },\n \"harness\|hendrycksTest-elementary_mathematics\|5\": {\n \"acc\"\ : 0.23809523809523808,\n \"acc_stderr\": 0.021935878081184756,\n \"\ acc_norm\": 0.23809523809523808,\n \"acc_norm_stderr\": 0.021935878081184756\n\ \ },\n \"harness\|hendrycksTest-formal_logic\|5\": {\n \"acc\": 0.30952380952380953,\n\ \ \"acc_stderr\": 0.04134913018303316,\n \"acc_norm\": 0.30952380952380953,\n\ \ \"acc_norm_stderr\": 0.04134913018303316\n },\n \"harness\|hendrycksTest-global_facts\|5\"\ : {\n \"acc\": 0.26,\n \"acc_stderr\": 0.0440844002276808,\n \ \ \"acc_norm\": 0.26,\n \"acc_norm_stderr\": 0.0440844002276808\n },\n\ \ \"harness\|hendrycksTest-high_school_biology\|5\": {\n \"acc\": 0.2838709677419355,\n\ \ \"acc_stderr\": 0.025649381063029254,\n \"acc_norm\": 0.2838709677419355,\n\ \ \"acc_norm_stderr\": 0.025649381063029254\n },\n \"harness\|hendrycksTest-high_school_chemistry\|5\"\ : {\n \"acc\": 0.2512315270935961,\n \"acc_stderr\": 0.030516530732694436,\n\ \ \"acc_norm\": 0.2512315270935961,\n \"acc_norm_stderr\": 0.030516530732694436\n\ \ },\n \"harness\|hendrycksTest-high_school_computer_science\|5\": {\n \ \ \"acc\": 0.22,\n \"acc_stderr\": 0.04163331998932269,\n \"acc_norm\"\ : 0.22,\n \"acc_norm_stderr\": 0.04163331998932269\n },\n \"harness\|hendrycksTest-high_school_european_history\|5\"\ : {\n \"acc\": 0.24848484848484848,\n \"acc_stderr\": 0.03374402644139404,\n\ \ \"acc_norm\": 0.24848484848484848,\n \"acc_norm_stderr\": 0.03374402644139404\n\ \ },\n \"harness\|hendrycksTest-high_school_geography\|5\": {\n \"acc\"\ : 0.25757575757575757,\n \"acc_stderr\": 0.031156269519646836,\n \"\ acc_norm\": 0.25757575757575757,\n \"acc_norm_stderr\": 0.031156269519646836\n\ \ },\n \"harness\|hendrycksTest-high_school_government_and_politics\|5\": {\n\ \ \"acc\": 0.21243523316062177,\n \"acc_stderr\": 0.029519282616817258,\n\ \ \"acc_norm\": 0.21243523316062177,\n \"acc_norm_stderr\": 0.029519282616817258\n\ \ },\n \"harness\|hendrycksTest-high_school_macroeconomics\|5\": {\n \ \ \"acc\": 0.31794871794871793,\n \"acc_stderr\": 0.02361088430892786,\n\ \ \"acc_norm\": 0.31794871794871793,\n \"acc_norm_stderr\": 0.02361088430892786\n\ \ },\n \"harness\|hendrycksTest-high_school_mathematics\|5\": {\n \"\ acc\": 0.2740740740740741,\n \"acc_stderr\": 0.027195934804085622,\n \ \ \"acc_norm\": 0.2740740740740741,\n \"acc_norm_stderr\": 0.027195934804085622\n\ \ },\n \"harness\|hendrycksTest-high_school_microeconomics\|5\": {\n \ \ \"acc\": 0.33613445378151263,\n \"acc_stderr\": 0.030684737115135356,\n\ \ \"acc_norm\": 0.33613445378151263,\n \"acc_norm_stderr\": 0.030684737115135356\n\ \ },\n \"harness\|hendrycksTest-high_school_physics\|5\": {\n \"acc\"\ : 0.2781456953642384,\n \"acc_stderr\": 0.03658603262763744,\n \"\ acc_norm\": 0.2781456953642384,\n \"acc_norm_stderr\": 0.03658603262763744\n\ \ },\n \"harness\|hendrycksTest-high_school_psychology\|5\": {\n \"acc\"\ : 0.26788990825688075,\n \"acc_stderr\": 0.018987462257978652,\n \"\ acc_norm\": 0.26788990825688075,\n \"acc_norm_stderr\": 0.018987462257978652\n\ \ },\n \"harness\|hendrycksTest-high_school_statistics\|5\": {\n \"acc\"\ : 0.2175925925925926,\n \"acc_stderr\": 0.028139689444859672,\n \"\ acc_norm\": 0.2175925925925926,\n \"acc_norm_stderr\": 0.028139689444859672\n\ \ },\n \"harness\|hendrycksTest-high_school_us_history\|5\": {\n \"acc\"\ : 0.24019607843137256,\n \"acc_stderr\": 0.02998373305591362,\n \"\ acc_norm\": 0.24019607843137256,\n \"acc_norm_stderr\": 0.02998373305591362\n\ \ },\n \"harness\|hendrycksTest-high_school_world_history\|5\": {\n \"\ acc\": 0.20675105485232068,\n \"acc_stderr\": 0.0263616516683891,\n \ \ \"acc_norm\": 0.20675105485232068,\n \"acc_norm_stderr\": 0.0263616516683891\n\ \ },\n \"harness\|hendrycksTest-human_aging\|5\": {\n \"acc\": 0.13901345291479822,\n\ \ \"acc_stderr\": 0.02321935283447447,\n \"acc_norm\": 0.13901345291479822,\n\ \ \"acc_norm_stderr\": 0.02321935283447447\n },\n \"harness\|hendrycksTest-human_sexuality\|5\"\ : {\n \"acc\": 0.2595419847328244,\n \"acc_stderr\": 0.03844876139785271,\n\ \ \"acc_norm\": 0.2595419847328244,\n \"acc_norm_stderr\": 0.03844876139785271\n\ \ },\n \"harness\|hendrycksTest-international_law\|5\": {\n \"acc\":\ \ 0.18181818181818182,\n \"acc_stderr\": 0.03520893951097653,\n \"\ acc_norm\": 0.18181818181818182,\n \"acc_norm_stderr\": 0.03520893951097653\n\ \ },\n \"harness\|hendrycksTest-jurisprudence\|5\": {\n \"acc\": 0.25,\n\ \ \"acc_stderr\": 0.04186091791394607,\n \"acc_norm\": 0.25,\n \ \ \"acc_norm_stderr\": 0.04186091791394607\n },\n \"harness\|hendrycksTest-logical_fallacies\|5\"\ : {\n \"acc\": 0.27607361963190186,\n \"acc_stderr\": 0.0351238528370505,\n\ \ \"acc_norm\": 0.27607361963190186,\n \"acc_norm_stderr\": 0.0351238528370505\n\ \ },\n \"harness\|hendrycksTest-machine_learning\|5\": {\n \"acc\": 0.24107142857142858,\n\ \ \"acc_stderr\": 0.04059867246952685,\n \"acc_norm\": 0.24107142857142858,\n\ \ \"acc_norm_stderr\": 0.04059867246952685\n },\n \"harness\|hendrycksTest-management\|5\"\ : {\n \"acc\": 0.30097087378640774,\n \"acc_stderr\": 0.04541609446503948,\n\ \ \"acc_norm\": 0.30097087378640774,\n \"acc_norm_stderr\": 0.04541609446503948\n\ \ },\n \"harness\|hendrycksTest-marketing\|5\": {\n \"acc\": 0.18376068376068377,\n\ \ \"acc_stderr\": 0.025372139671722933,\n \"acc_norm\": 0.18376068376068377,\n\ \ \"acc_norm_stderr\": 0.025372139671722933\n },\n \"harness\|hendrycksTest-medical_genetics\|5\"\ : {\n \"acc\": 0.24,\n \"acc_stderr\": 0.042923469599092816,\n \ \ \"acc_norm\": 0.24,\n \"acc_norm_stderr\": 0.042923469599092816\n \ \ },\n \"harness\|hendrycksTest-miscellaneous\|5\": {\n \"acc\": 0.22349936143039592,\n\ \ \"acc_stderr\": 0.01489723522945071,\n \"acc_norm\": 0.22349936143039592,\n\ \ \"acc_norm_stderr\": 0.01489723522945071\n },\n \"harness\|hendrycksTest-moral_disputes\|5\"\ : {\n \"acc\": 0.2514450867052023,\n \"acc_stderr\": 0.023357365785874037,\n\ \ \"acc_norm\": 0.2514450867052023,\n \"acc_norm_stderr\": 0.023357365785874037\n\ \ },\n \"harness\|hendrycksTest-moral_scenarios\|5\": {\n \"acc\": 0.2536312849162011,\n\ \ \"acc_stderr\": 0.014551553659369923,\n \"acc_norm\": 0.2536312849162011,\n\ \ \"acc_norm_stderr\": 0.014551553659369923\n },\n \"harness\|hendrycksTest-nutrition\|5\"\ : {\n \"acc\": 0.2549019607843137,\n \"acc_stderr\": 0.02495418432487991,\n\ \ \"acc_norm\": 0.2549019607843137,\n \"acc_norm_stderr\": 0.02495418432487991\n\ \ },\n \"harness\|hendrycksTest-philosophy\|5\": {\n \"acc\": 0.2282958199356913,\n\ \ \"acc_stderr\": 0.023839303311398215,\n \"acc_norm\": 0.2282958199356913,\n\ \ \"acc_norm_stderr\": 0.023839303311398215\n },\n \"harness\|hendrycksTest-prehistory\|5\"\ : {\n \"acc\": 0.25308641975308643,\n \"acc_stderr\": 0.024191808600712995,\n\ \ \"acc_norm\": 0.25308641975308643,\n \"acc_norm_stderr\": 0.024191808600712995\n\ \ },\n \"harness\|hendrycksTest-professional_accounting\|5\": {\n \"\ acc\": 0.2375886524822695,\n \"acc_stderr\": 0.025389512552729906,\n \ \ \"acc_norm\": 0.2375886524822695,\n \"acc_norm_stderr\": 0.025389512552729906\n\ \ },\n \"harness\|hendrycksTest-professional_law\|5\": {\n \"acc\": 0.24119947848761408,\n\ \ \"acc_stderr\": 0.01092649610203496,\n \"acc_norm\": 0.24119947848761408,\n\ \ \"acc_norm_stderr\": 0.01092649610203496\n },\n \"harness\|hendrycksTest-professional_medicine\|5\"\ : {\n \"acc\": 0.29411764705882354,\n \"acc_stderr\": 0.027678468642144703,\n\ \ \"acc_norm\": 0.29411764705882354,\n \"acc_norm_stderr\": 0.027678468642144703\n\ \ },\n \"harness\|hendrycksTest-professional_psychology\|5\": {\n \"\ acc\": 0.22712418300653595,\n \"acc_stderr\": 0.016949853279212376,\n \ \ \"acc_norm\": 0.22712418300653595,\n \"acc_norm_stderr\": 0.016949853279212376\n\ \ },\n \"harness\|hendrycksTest-public_relations\|5\": {\n \"acc\": 0.24545454545454545,\n\ \ \"acc_stderr\": 0.041220665028782855,\n \"acc_norm\": 0.24545454545454545,\n\ \ \"acc_norm_stderr\": 0.041220665028782855\n },\n \"harness\|hendrycksTest-security_studies\|5\"\ : {\n \"acc\": 0.2857142857142857,\n \"acc_stderr\": 0.02892058322067558,\n\ \ \"acc_norm\": 0.2857142857142857,\n \"acc_norm_stderr\": 0.02892058322067558\n\ \ },\n \"harness\|hendrycksTest-sociology\|5\": {\n \"acc\": 0.14427860696517414,\n\ \ \"acc_stderr\": 0.024845753212306042,\n \"acc_norm\": 0.14427860696517414,\n\ \ \"acc_norm_stderr\": 0.024845753212306042\n },\n \"harness\|hendrycksTest-us_foreign_policy\|5\"\ : {\n \"acc\": 0.27,\n \"acc_stderr\": 0.04461960433384739,\n \ \ \"acc_norm\": 0.27,\n \"acc_norm_stderr\": 0.04461960433384739\n \ \ },\n \"harness\|hendrycksTest-virology\|5\": {\n \"acc\": 0.2469879518072289,\n\ \ \"acc_stderr\": 0.03357351982064537,\n \"acc_norm\": 0.2469879518072289,\n\ \ \"acc_norm_stderr\": 0.03357351982064537\n },\n \"harness\|hendrycksTest-world_religions\|5\"\ : {\n \"acc\": 0.1695906432748538,\n \"acc_stderr\": 0.028782108105401712,\n\ \ \"acc_norm\": 0.1695906432748538,\n \"acc_norm_stderr\": 0.028782108105401712\n\ \ },\n \"harness\|truthfulqa:mc\|0\": {\n \"mc1\": 0.23623011015911874,\n\ \ \"mc1_stderr\": 0.014869755015871096,\n \"mc2\": NaN,\n \"\ mc2_stderr\": NaN\n },\n \"harness\|winogrande\|5\": {\n \"acc\": 0.5351223362273086,\n\ \ \"acc_stderr\": 0.014017773120881583\n },\n \"harness\|gsm8k\|5\":\ \ {\n \"acc\": 0.0,\n \"acc_stderr\": 0.0\n }\n}\n```" repo_url: https://huggingface.co/Severian/Nexus-IKM-Mistral-7B-v5-instruction 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_10T00_59_27.972031 path: - '/details_harness\|arc:challenge\|25_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2024-03-10T00-59-27.972031.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '/details_harness\|gsm8k\|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_03_10T00_59_27.972031 path: - '/details_harness\|hellaswag\|10_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-management\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-virology\|5_2024-03-10T00-59-27.972031.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '/details_harness\|hendrycksTest-international_law\|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '/details_harness\|hendrycksTest-management\|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '/details_harness\|hendrycksTest-marketing\|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '/details_harness\|hendrycksTest-sociology\|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '/details_harness\|hendrycksTest-virology\|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_03_10T00_59_27.972031 path: - '/details_harness\|truthfulqa:mc\|0_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2024-03-10T00-59-27.972031.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '/details_harness\|winogrande\|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2024-03-10T00-59-27.972031.parquet' - config_name: results data_files: - split: 2024_03_10T00_59_27.972031 path: - results_2024-03-10T00-59-27.972031.parquet - split: latest path: - results_2024-03-10T00-59-27.972031.parquet --- # Dataset Card for Evaluation run of Severian/Nexus-IKM-Mistral-7B-v5-instruction <!-- Provide a quick summary of the dataset. --> Dataset automatically created during the evaluation run of model [Severian/Nexus-IKM-Mistral-7B-v5-instruction](https://huggingface.co/Severian/Nexus-IKM-Mistral-7B-v5-instruction) 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_Severian__Nexus-IKM-Mistral-7B-v5-instruction", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-03-10T00:59:27.972031](https://huggingface.co/datasets/open-llm-leaderboard/details_Severian__Nexus-IKM-Mistral-7B-v5-instruction/blob/main/results_2024-03-10T00-59-27.972031.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": 0.2477168147645942, "acc_stderr": 0.030566707099033714, "acc_norm": 0.24811298552173527, "acc_norm_stderr": 0.031378435870979805, "mc1": 0.23623011015911874, "mc1_stderr": 0.014869755015871096, "mc2": NaN, "mc2_stderr": NaN }, "harness\|arc:challenge\|25": { "acc": 0.2363481228668942, "acc_stderr": 0.012414960524301836, "acc_norm": 0.2773037542662116, "acc_norm_stderr": 0.013082095839059374 }, "harness\|hellaswag\|10": { "acc": 0.2671778530173272, "acc_stderr": 0.004415816696303075, "acc_norm": 0.2892850029874527, "acc_norm_stderr": 0.004525037849178834 }, "harness\|hendrycksTest-abstract_algebra\|5": { "acc": 0.22, "acc_stderr": 0.0416333199893227, "acc_norm": 0.22, "acc_norm_stderr": 0.0416333199893227 }, "harness\|hendrycksTest-anatomy\|5": { "acc": 0.22962962962962963, "acc_stderr": 0.036333844140734636, "acc_norm": 0.22962962962962963, "acc_norm_stderr": 0.036333844140734636 }, "harness\|hendrycksTest-astronomy\|5": { "acc": 0.24342105263157895, "acc_stderr": 0.034923496688842384, "acc_norm": 0.24342105263157895, "acc_norm_stderr": 0.034923496688842384 }, "harness\|hendrycksTest-business_ethics\|5": { "acc": 0.21, "acc_stderr": 0.040936018074033256, "acc_norm": 0.21, "acc_norm_stderr": 0.040936018074033256 }, "harness\|hendrycksTest-clinical_knowledge\|5": { "acc": 0.27169811320754716, "acc_stderr": 0.027377706624670716, "acc_norm": 0.27169811320754716, "acc_norm_stderr": 0.027377706624670716 }, "harness\|hendrycksTest-college_biology\|5": { "acc": 0.2152777777777778, "acc_stderr": 0.03437079344106133, "acc_norm": 0.2152777777777778, "acc_norm_stderr": 0.03437079344106133 }, "harness\|hendrycksTest-college_chemistry\|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness\|hendrycksTest-college_computer_science\|5": { "acc": 0.21, "acc_stderr": 0.04093601807403326, "acc_norm": 0.21, "acc_norm_stderr": 0.04093601807403326 }, "harness\|hendrycksTest-college_mathematics\|5": { "acc": 0.24, "acc_stderr": 0.042923469599092816, "acc_norm": 0.24, "acc_norm_stderr": 0.042923469599092816 }, "harness\|hendrycksTest-college_medicine\|5": { "acc": 0.2658959537572254, "acc_stderr": 0.03368762932259431, "acc_norm": 0.2658959537572254, "acc_norm_stderr": 0.03368762932259431 }, "harness\|hendrycksTest-college_physics\|5": { "acc": 0.28431372549019607, "acc_stderr": 0.04488482852329017, "acc_norm": 0.28431372549019607, "acc_norm_stderr": 0.04488482852329017 }, "harness\|hendrycksTest-computer_security\|5": { "acc": 0.26, "acc_stderr": 0.0440844002276808, "acc_norm": 0.26, "acc_norm_stderr": 0.0440844002276808 }, "harness\|hendrycksTest-conceptual_physics\|5": { "acc": 0.24680851063829787, "acc_stderr": 0.0281854413012341, "acc_norm": 0.24680851063829787, "acc_norm_stderr": 0.0281854413012341 }, "harness\|hendrycksTest-econometrics\|5": { "acc": 0.2631578947368421, "acc_stderr": 0.04142439719489362, "acc_norm": 0.2631578947368421, "acc_norm_stderr": 0.04142439719489362 }, "harness\|hendrycksTest-electrical_engineering\|5": { "acc": 0.2827586206896552, "acc_stderr": 0.03752833958003337, "acc_norm": 0.2827586206896552, "acc_norm_stderr": 0.03752833958003337 }, "harness\|hendrycksTest-elementary_mathematics\|5": { "acc": 0.23809523809523808, "acc_stderr": 0.021935878081184756, "acc_norm": 0.23809523809523808, "acc_norm_stderr": 0.021935878081184756 }, "harness\|hendrycksTest-formal_logic\|5": { "acc": 0.30952380952380953, "acc_stderr": 0.04134913018303316, "acc_norm": 0.30952380952380953, "acc_norm_stderr": 0.04134913018303316 }, "harness\|hendrycksTest-global_facts\|5": { "acc": 0.26, "acc_stderr": 0.0440844002276808, "acc_norm": 0.26, "acc_norm_stderr": 0.0440844002276808 }, "harness\|hendrycksTest-high_school_biology\|5": { "acc": 0.2838709677419355, "acc_stderr": 0.025649381063029254, "acc_norm": 0.2838709677419355, "acc_norm_stderr": 0.025649381063029254 }, "harness\|hendrycksTest-high_school_chemistry\|5": { "acc": 0.2512315270935961, "acc_stderr": 0.030516530732694436, "acc_norm": 0.2512315270935961, "acc_norm_stderr": 0.030516530732694436 }, "harness\|hendrycksTest-high_school_computer_science\|5": { "acc": 0.22, "acc_stderr": 0.04163331998932269, "acc_norm": 0.22, "acc_norm_stderr": 0.04163331998932269 }, "harness\|hendrycksTest-high_school_european_history\|5": { "acc": 0.24848484848484848, "acc_stderr": 0.03374402644139404, "acc_norm": 0.24848484848484848, "acc_norm_stderr": 0.03374402644139404 }, "harness\|hendrycksTest-high_school_geography\|5": { "acc": 0.25757575757575757, "acc_stderr": 0.031156269519646836, "acc_norm": 0.25757575757575757, "acc_norm_stderr": 0.031156269519646836 }, "harness\|hendrycksTest-high_school_government_and_politics\|5": { "acc": 0.21243523316062177, "acc_stderr": 0.029519282616817258, "acc_norm": 0.21243523316062177, "acc_norm_stderr": 0.029519282616817258 }, "harness\|hendrycksTest-high_school_macroeconomics\|5": { "acc": 0.31794871794871793, "acc_stderr": 0.02361088430892786, "acc_norm": 0.31794871794871793, "acc_norm_stderr": 0.02361088430892786 }, "harness\|hendrycksTest-high_school_mathematics\|5": { "acc": 0.2740740740740741, "acc_stderr": 0.027195934804085622, "acc_norm": 0.2740740740740741, "acc_norm_stderr": 0.027195934804085622 }, "harness\|hendrycksTest-high_school_microeconomics\|5": { "acc": 0.33613445378151263, "acc_stderr": 0.030684737115135356, "acc_norm": 0.33613445378151263, "acc_norm_stderr": 0.030684737115135356 }, "harness\|hendrycksTest-high_school_physics\|5": { "acc": 0.2781456953642384, "acc_stderr": 0.03658603262763744, "acc_norm": 0.2781456953642384, "acc_norm_stderr": 0.03658603262763744 }, "harness\|hendrycksTest-high_school_psychology\|5": { "acc": 0.26788990825688075, "acc_stderr": 0.018987462257978652, "acc_norm": 0.26788990825688075, "acc_norm_stderr": 0.018987462257978652 }, "harness\|hendrycksTest-high_school_statistics\|5": { "acc": 0.2175925925925926, "acc_stderr": 0.028139689444859672, "acc_norm": 0.2175925925925926, "acc_norm_stderr": 0.028139689444859672 }, "harness\|hendrycksTest-high_school_us_history\|5": { "acc": 0.24019607843137256, "acc_stderr": 0.02998373305591362, "acc_norm": 0.24019607843137256, "acc_norm_stderr": 0.02998373305591362 }, "harness\|hendrycksTest-high_school_world_history\|5": { "acc": 0.20675105485232068, "acc_stderr": 0.0263616516683891, "acc_norm": 0.20675105485232068, "acc_norm_stderr": 0.0263616516683891 }, "harness\|hendrycksTest-human_aging\|5": { "acc": 0.13901345291479822, "acc_stderr": 0.02321935283447447, "acc_norm": 0.13901345291479822, "acc_norm_stderr": 0.02321935283447447 }, "harness\|hendrycksTest-human_sexuality\|5": { "acc": 0.2595419847328244, "acc_stderr": 0.03844876139785271, "acc_norm": 0.2595419847328244, "acc_norm_stderr": 0.03844876139785271 }, "harness\|hendrycksTest-international_law\|5": { "acc": 0.18181818181818182, "acc_stderr": 0.03520893951097653, "acc_norm": 0.18181818181818182, "acc_norm_stderr": 0.03520893951097653 }, "harness\|hendrycksTest-jurisprudence\|5": { "acc": 0.25, "acc_stderr": 0.04186091791394607, "acc_norm": 0.25, "acc_norm_stderr": 0.04186091791394607 }, "harness\|hendrycksTest-logical_fallacies\|5": { "acc": 0.27607361963190186, "acc_stderr": 0.0351238528370505, "acc_norm": 0.27607361963190186, "acc_norm_stderr": 0.0351238528370505 }, "harness\|hendrycksTest-machine_learning\|5": { "acc": 0.24107142857142858, "acc_stderr": 0.04059867246952685, "acc_norm": 0.24107142857142858, "acc_norm_stderr": 0.04059867246952685 }, "harness\|hendrycksTest-management\|5": { "acc": 0.30097087378640774, "acc_stderr": 0.04541609446503948, "acc_norm": 0.30097087378640774, "acc_norm_stderr": 0.04541609446503948 }, "harness\|hendrycksTest-marketing\|5": { "acc": 0.18376068376068377, "acc_stderr": 0.025372139671722933, "acc_norm": 0.18376068376068377, "acc_norm_stderr": 0.025372139671722933 }, "harness\|hendrycksTest-medical_genetics\|5": { "acc": 0.24, "acc_stderr": 0.042923469599092816, "acc_norm": 0.24, "acc_norm_stderr": 0.042923469599092816 }, "harness\|hendrycksTest-miscellaneous\|5": { "acc": 0.22349936143039592, "acc_stderr": 0.01489723522945071, "acc_norm": 0.22349936143039592, "acc_norm_stderr": 0.01489723522945071 }, "harness\|hendrycksTest-moral_disputes\|5": { "acc": 0.2514450867052023, "acc_stderr": 0.023357365785874037, "acc_norm": 0.2514450867052023, "acc_norm_stderr": 0.023357365785874037 }, "harness\|hendrycksTest-moral_scenarios\|5": { "acc": 0.2536312849162011, "acc_stderr": 0.014551553659369923, "acc_norm": 0.2536312849162011, "acc_norm_stderr": 0.014551553659369923 }, "harness\|hendrycksTest-nutrition\|5": { "acc": 0.2549019607843137, "acc_stderr": 0.02495418432487991, "acc_norm": 0.2549019607843137, "acc_norm_stderr": 0.02495418432487991 }, "harness\|hendrycksTest-philosophy\|5": { "acc": 0.2282958199356913, "acc_stderr": 0.023839303311398215, "acc_norm": 0.2282958199356913, "acc_norm_stderr": 0.023839303311398215 }, "harness\|hendrycksTest-prehistory\|5": { "acc": 0.25308641975308643, "acc_stderr": 0.024191808600712995, "acc_norm": 0.25308641975308643, "acc_norm_stderr": 0.024191808600712995 }, "harness\|hendrycksTest-professional_accounting\|5": { "acc": 0.2375886524822695, "acc_stderr": 0.025389512552729906, "acc_norm": 0.2375886524822695, "acc_norm_stderr": 0.025389512552729906 }, "harness\|hendrycksTest-professional_law\|5": { "acc": 0.24119947848761408, "acc_stderr": 0.01092649610203496, "acc_norm": 0.24119947848761408, "acc_norm_stderr": 0.01092649610203496 }, "harness\|hendrycksTest-professional_medicine\|5": { "acc": 0.29411764705882354, "acc_stderr": 0.027678468642144703, "acc_norm": 0.29411764705882354, "acc_norm_stderr": 0.027678468642144703 }, "harness\|hendrycksTest-professional_psychology\|5": { "acc": 0.22712418300653595, "acc_stderr": 0.016949853279212376, "acc_norm": 0.22712418300653595, "acc_norm_stderr": 0.016949853279212376 }, "harness\|hendrycksTest-public_relations\|5": { "acc": 0.24545454545454545, "acc_stderr": 0.041220665028782855, "acc_norm": 0.24545454545454545, "acc_norm_stderr": 0.041220665028782855 }, "harness\|hendrycksTest-security_studies\|5": { "acc": 0.2857142857142857, "acc_stderr": 0.02892058322067558, "acc_norm": 0.2857142857142857, "acc_norm_stderr": 0.02892058322067558 }, "harness\|hendrycksTest-sociology\|5": { "acc": 0.14427860696517414, "acc_stderr": 0.024845753212306042, "acc_norm": 0.14427860696517414, "acc_norm_stderr": 0.024845753212306042 }, "harness\|hendrycksTest-us_foreign_policy\|5": { "acc": 0.27, "acc_stderr": 0.04461960433384739, "acc_norm": 0.27, "acc_norm_stderr": 0.04461960433384739 }, "harness\|hendrycksTest-virology\|5": { "acc": 0.2469879518072289, "acc_stderr": 0.03357351982064537, "acc_norm": 0.2469879518072289, "acc_norm_stderr": 0.03357351982064537 }, "harness\|hendrycksTest-world_religions\|5": { "acc": 0.1695906432748538, "acc_stderr": 0.028782108105401712, "acc_norm": 0.1695906432748538, "acc_norm_stderr": 0.028782108105401712 }, "harness\|truthfulqa:mc\|0": { "mc1": 0.23623011015911874, "mc1_stderr": 0.014869755015871096, "mc2": NaN, "mc2_stderr": NaN }, "harness\|winogrande\|5": { "acc": 0.5351223362273086, "acc_stderr": 0.014017773120881583 }, "harness\|gsm8k\|5": { "acc": 0.0, "acc_stderr": 0.0 } } ``` ## Dataset Details ### Dataset Description <!-- Provide a longer summary of what this dataset is. --> - Curated by: [More Information Needed] - Funded by [optional]: [More Information Needed] - Shared by [optional]: [More Information Needed] - Language(s) (NLP): [More Information Needed] - License: [More Information Needed] ### Dataset Sources [optional] <!-- Provide the basic links for the dataset. --> - Repository: [More Information Needed] - Paper [optional]: [More Information Needed] - Demo [optional]: [More Information Needed] ## Uses <!-- Address questions around how the dataset is intended to be used. --> ### Direct Use <!-- This section describes suitable use cases for the dataset. --> [More Information Needed] ### Out-of-Scope Use <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. --> [More Information Needed] ## Dataset Structure <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. --> [More Information Needed] ## Dataset Creation ### Curation Rationale <!-- Motivation for the creation of this dataset. --> [More Information Needed] ### Source Data <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). --> #### Data Collection and Processing <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. --> [More Information Needed] #### Who are the source data producers? <!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. --> [More Information Needed] ### Annotations [optional] <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. --> #### Annotation process <!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. --> [More Information Needed] #### Who are the annotators? <!-- This section describes the people or systems who created the annotations. --> [More Information Needed] #### Personal and Sensitive Information <!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. --> [More Information Needed] ## Bias, Risks, and Limitations <!-- This section is meant to convey both technical and sociotechnical limitations. --> [More Information Needed] ### Recommendations <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional] <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> BibTeX: [More Information Needed] APA: [More Information Needed] ## Glossary [optional] <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. --> [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]
taylorbollman/wikitext2_tb	--- dataset_info: features: - name: input_ids sequence: int32 - name: token_type_ids sequence: int8 - name: attention_mask sequence: int8 - name: labels sequence: int64 splits: - name: test num_bytes: 3963136 num_examples: 2192 - name: train num_bytes: 33513088 num_examples: 18536 - name: validation num_bytes: 3467744 num_examples: 1918 download_size: 11981141 dataset_size: 40943968 configs: - config_name: default data_files: - split: test path: data/test-* - split: train path: data/train-* - split: validation path: data/validation-* ---
vivym/OmniVid	--- license: apache-2.0 task_categories: - text-to-video --- # OmniVid Youtube Video: 24,037,110
haydn-jones/ZINC20	--- dataset_info: features: - name: smiles dtype: large_string - name: zinc_id dtype: int64 - name: SELFIES dtype: string splits: - name: train num_bytes: 393170565049 num_examples: 1538340669 - name: val num_bytes: 47753116448 num_examples: 192292584 - name: test num_bytes: 46114402425 num_examples: 192292584 download_size: 174349539018 dataset_size: 487038083922 configs: - config_name: default data_files: - split: train path: data/train-* - split: val path: data/val-* - split: test path: data/test-* license: mit tags: - chemistry - biology - medical size_categories: - 1B<n<10B --- [ZINC20](https://zinc20.docking.org/) Dataset with [SELFIES](https://arxiv.org/abs/1905.13741) added. Any smile that could not be successfully converted was dropped from the dataset. Every tranch was downloaded, this is not the ~1B example ML subset from https://files.docking.org/zinc20-ML/. The dataset was entirely shuffled then split into 80%/10%/10% splits for train/val/test. A file vocab.csv is in the root of the reposity that contains all of the SELFIES tokens found in the data, with [START], [STOP], and [PAD] added.
Hazzzardous/synthetic-translations-6k-unvalidated	--- license: mit --- Dataset is unvalidated. Please do not use until validation is complete. French [x] English [x] Italian [ ] German [ ] Chinese [ ]
khoomeik/gzipscale-0.51-100M	--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 371523195 num_examples: 390625 download_size: 164083002 dataset_size: 371523195 configs: - config_name: default data_files: - split: train path: data/train-* ---
adibacsi/customer-support-requests-skeleton	--- license: mit ---
open-llm-leaderboard/details_MBZUAI__lamini-cerebras-111m	--- pretty_name: Evaluation run of MBZUAI/lamini-cerebras-111m dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [MBZUAI/lamini-cerebras-111m](https://huggingface.co/MBZUAI/lamini-cerebras-111m)\ \ 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_MBZUAI__lamini-cerebras-111m\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-10-18T18:05:40.911064](https://huggingface.co/datasets/open-llm-leaderboard/details_MBZUAI__lamini-cerebras-111m/blob/main/results_2023-10-18T18-05-40.911064.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\": 0.001363255033557047,\n\ \ \"em_stderr\": 0.0003778609196460529,\n \"f1\": 0.02216757550335575,\n\ \ \"f1_stderr\": 0.0009735143977020524,\n \"acc\": 0.25611681136543013,\n\ \ \"acc_stderr\": 0.007024139410202808\n },\n \"harness\|drop\|3\": {\n\ \ \"em\": 0.001363255033557047,\n \"em_stderr\": 0.0003778609196460529,\n\ \ \"f1\": 0.02216757550335575,\n \"f1_stderr\": 0.0009735143977020524\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.0,\n \"acc_stderr\"\ : 0.0\n },\n \"harness\|winogrande\|5\": {\n \"acc\": 0.5122336227308603,\n\ \ \"acc_stderr\": 0.014048278820405616\n }\n}\n```" repo_url: https://huggingface.co/MBZUAI/lamini-cerebras-111m leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: clementine@hf.co configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_07_19T13_45_36.693423 path: - '/details_harness\|arc:challenge\|25_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-07-19T13:45:36.693423.parquet' - config_name: harness_drop_3 data_files: - split: 2023_10_18T18_05_40.911064 path: - '/details_harness\|drop\|3_2023-10-18T18-05-40.911064.parquet' - split: latest path: - '/details_harness\|drop\|3_2023-10-18T18-05-40.911064.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_10_18T18_05_40.911064 path: - '/details_harness\|gsm8k\|5_2023-10-18T18-05-40.911064.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-10-18T18-05-40.911064.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_07_19T13_45_36.693423 path: - '/details_harness\|hellaswag\|10_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-07-19T13:45:36.693423.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '/details_harness\|hendrycksTest-management\|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '/details_harness\|hendrycksTest-virology\|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_07_19T13_45_36.693423 path: - '/details_harness\|truthfulqa:mc\|0_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-07-19T13:45:36.693423.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_10_18T18_05_40.911064 path: - '/details_harness\|winogrande\|5_2023-10-18T18-05-40.911064.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-10-18T18-05-40.911064.parquet' - config_name: results data_files: - split: 2023_07_19T13_45_36.693423 path: - results_2023-07-19T13:45:36.693423.parquet - split: 2023_10_18T18_05_40.911064 path: - results_2023-10-18T18-05-40.911064.parquet - split: latest path: - results_2023-10-18T18-05-40.911064.parquet --- # Dataset Card for Evaluation run of MBZUAI/lamini-cerebras-111m ## Dataset Description - Homepage: - Repository: https://huggingface.co/MBZUAI/lamini-cerebras-111m - 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 [MBZUAI/lamini-cerebras-111m](https://huggingface.co/MBZUAI/lamini-cerebras-111m) 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_MBZUAI__lamini-cerebras-111m", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-10-18T18:05:40.911064](https://huggingface.co/datasets/open-llm-leaderboard/details_MBZUAI__lamini-cerebras-111m/blob/main/results_2023-10-18T18-05-40.911064.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": 0.001363255033557047, "em_stderr": 0.0003778609196460529, "f1": 0.02216757550335575, "f1_stderr": 0.0009735143977020524, "acc": 0.25611681136543013, "acc_stderr": 0.007024139410202808 }, "harness\|drop\|3": { "em": 0.001363255033557047, "em_stderr": 0.0003778609196460529, "f1": 0.02216757550335575, "f1_stderr": 0.0009735143977020524 }, "harness\|gsm8k\|5": { "acc": 0.0, "acc_stderr": 0.0 }, "harness\|winogrande\|5": { "acc": 0.5122336227308603, "acc_stderr": 0.014048278820405616 } } ``` ### 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]
Omega02gdfdd/bioclip-demo-zero-shot-mistakes	--- configs: - config_name: default data_files: - split: train path: data.csv --- # Dataset Card for Dataset Name <!-- Provide a quick summary of the dataset. --> ## 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]
makiisthebes/CarLicensePlates	--- license: mit ---
kekunh/stock-related-tweets-vol3	--- dataset_info: features: - name: text dtype: string - name: label dtype: string splits: - name: train num_bytes: 58062400 num_examples: 400000 download_size: 39335837 dataset_size: 58062400 configs: - config_name: default data_files: - split: train path: data/train-* ---
qtoino/form_matcher_demo_flagged	--- configs: - config_name: default data_files: - split: train path: data.csv --- # Dataset Card for Dataset Name ## Dataset Description - Homepage: - Repository: - Paper: - Leaderboard: - Point of Contact: ### Dataset Summary [More Information Needed] ### 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]
jstonge1/cc_BBOX_kfold	--- dataset_info: features: - name: image_id dtype: int64 - name: file_name dtype: string - name: width dtype: int64 - name: height dtype: int64 - name: annotations list: - name: area dtype: float64 - name: bbox sequence: float64 - name: category_id dtype: int64 - name: id dtype: int64 - name: ignore dtype: int64 - name: image_id dtype: int64 - name: iscrowd dtype: int64 - name: segmentation sequence: 'null' splits: - name: part_train_0 num_bytes: 840206 num_examples: 786 - name: part_test_0 num_bytes: 29094 num_examples: 28 - name: part_train_1 num_bytes: 845082 num_examples: 788 - name: part_test_1 num_bytes: 24218 num_examples: 26 - name: part_train_2 num_bytes: 844248 num_examples: 787 - name: part_test_2 num_bytes: 25052 num_examples: 27 - name: part_train_3 num_bytes: 845723 num_examples: 786 - name: part_test_3 num_bytes: 23577 num_examples: 28 - name: part_train_4 num_bytes: 842549 num_examples: 786 - name: part_test_4 num_bytes: 26751 num_examples: 28 download_size: 2437160 dataset_size: 4346500 configs: - config_name: default data_files: - split: part_train_0 path: data/part_train_0-* - split: part_test_0 path: data/part_test_0-* - split: part_train_1 path: data/part_train_1-* - split: part_test_1 path: data/part_test_1-* - split: part_train_2 path: data/part_train_2-* - split: part_test_2 path: data/part_test_2-* - split: part_train_3 path: data/part_train_3-* - split: part_test_3 path: data/part_test_3-* - split: part_train_4 path: data/part_train_4-* - split: part_test_4 path: data/part_test_4-* ---
AdapterOcean/data-standardized_cluster_18_std	--- dataset_info: features: - name: message dtype: string - name: message_type dtype: string - name: message_id dtype: int64 - name: conversation_id dtype: int64 - name: cluster dtype: float64 - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 9051592 num_examples: 8532 download_size: 3910771 dataset_size: 9051592 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "data-standardized_cluster_18_std" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
joey234/mmlu-college_physics-original-neg-prepend	--- dataset_info: features: - name: question dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D - name: neg_prompt dtype: string splits: - name: test num_bytes: 8640 num_examples: 15 download_size: 10053 dataset_size: 8640 --- # Dataset Card for "mmlu-college_physics-original-neg-prepend" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Falah/artistic_prompts	--- dataset_info: features: - name: prompts dtype: string splits: - name: train num_bytes: 7555056 num_examples: 10000 download_size: 958517 dataset_size: 7555056 --- # Dataset Card for "artistic_prompts" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
rkarhila/SIAK	--- license: cc-by-nd-4.0 task_categories: - automatic-speech-recognition language: - en pretty_name: '"Say It Again, Kid!" Native and Finnish accented Children''s English with pronunciation scores' size_categories: - 10K<n<100K --- ## "Say It Again, Kid!" (SIAK) Speech data collection## ## Training data for pronunciation quality classifiers for childred learning English ## Train set and test set in flac format. File id key, fields separated by underscores (example: train001fifi05_609_t10892805_living-room.flac) * Speaker key indicates train or test set, and a running number for speaker. _speaker key is train001_ * Native language: "fifi" for Finnish, "enuk" for UK English, "othr" for other. _Native language fifi_ * Age of speaker in years (if known). _This speaker was 05 years old at the start of the recording period_ * Sample number. _This is the 609th sample spoken by the speaker. (Some kids really enjoyed contributing!)_ * Seconds from first sample given. _10892805 seconds since first recording. This speaker contributed the samples over a 4 month period_ * Targer utterance text with spaces etc replaced by dashes. _Utterance to be spoken was "living room"_ ## Release history ## This data is derived from the data collected in the SIAK project 2014-2018, Participants agreed that their data can be published anonymously. Unfortunately the General Data Protection Regulation (GDPR) became effective before the data was ready for release, and the publication effort halted. However the data was leased to an ill-fated startup that started operationsa few weeks before COVID-19 lockdowns. This collection is a derivation of the SIAK data with any strongly identifying metadata removed for use by the now bankrupt startup. We were involved in collecting, storing and processing the data in the SIAK project and have gone through the speech samples in enough detail to be assured that the data can be regarded as non-personal and thus except from GDPR as it consists of only single words or very short utterance repetitions, making it next to impossible to identify a speaker. Reima Karhila and Anna Smolander SIAK project researchers and unlucky startup founders --- license: cc-by-nd-4.0 --- We emphasize, that by no derivatives we mean that you cannot use the audio samples as part of any work that is not directly related to describing the dataset in a speech technology or scientific language learning context. You may include them in a scientific presentation when the context is clearly to present the original data and not to use the data in another fashion. Commercial use of speech samples for building and evaluation of speech technology models is _not_ prohibited. If you publish work based on this dataset, please cite _Karhila & al.: Pronunciation Scoring System Embedded into Children’s Foreign Language Learning Games with Experimental Verification of Learning Benefits, SLATE 2023_.
cis-lmu/GlotStoryBook-Nalibali	--- license: cc0-1.0 task_categories: - translation - text-generation - text2text-generation configs: - config_name: default data_files: - split: test path: "nalibali.csv" multilinguality: - multilingual - translation language: - afr - eng - nbl - nso - sot - ssw - tsn - tso - ven - xho - zul tags: - glotstorybook - story - book - african - glot pretty_name: GlotStoryBook-Nalibali --- ## Dataset Description Parallel storybooks for African languages and English (11 language codes). The same `parallel_id` in different languages indicates that these stories are parallel. The data collected from [nalibali.org](https://www.nalibali.org/story-resources/multilingual-stories). This repository is part of the GlotStoryBook project, check other datasources (African Storybook, Pratham Books, Little Cree Books and LIDA Stories) in [cis-lmu/GlotStoryBook](https://huggingface.co/datasets/cis-lmu/GlotStoryBook) and parallel version in [cis-lmu/GlotStoryBook-MT](https://huggingface.co/datasets/cis-lmu/GlotStoryBook-MT). - GitHub Repository: [github](https://github.com/cisnlp/GlotStoryBook) - Paper: [paper](https://arxiv.org/abs/2310.16248) - Point of Contact: amir@cis.lmu.de ## Usage (HF Loader) ```python from datasets import load_dataset dataset = load_dataset('cis-lmu/GlotStoryBook-Nalibali') print(dataset['test'][0]) # First row of data ``` ## Download If you are not a fan of the HF dataloader, download it directly: ```python ! wget https://huggingface.co/datasets/cis-lmu/GlotStoryBook-Nalibali/raw/main/nalibali.csv ``` ## License and Copyright We do not own any of the text from which this data has been extracted. All the files are collected from [nalibali.org](https://www.nalibali.org/story-resources/multilingual-stories). Based on the [submission](https://www.nalibali.org/story-resources/your-stories) of new stories, the stories are original, and the submitter needs to own all rights to the story. Also, based on the [terms of use](https://www.nalibali.org/terms-use), there is no limitation on the use of the content of site. Besides, [robots.txt](https://www.nalibali.org/robots.txt) of website also allows the stories to be included in bots and search engines, and the stories' text is already cached in Google Search. We have included the name of the author and the link to the story in the dataset as well. We license the code, actual packaging, and the metadata of this data under the cc0-1.0. ## Citation If you use any part of this code and data in your research, please cite it (along with nalibali.org) using the following BibTeX entry. This work is part of the [GlotLID](https://github.com/cisnlp/GlotLID) project. ``` @inproceedings{ kargaran2023glotlid, title={{GlotLID}: Language Identification for Low-Resource Languages}, author={Kargaran, Amir Hossein and Imani, Ayyoob and Yvon, Fran{\c{c}}ois and Sch{\"u}tze, Hinrich}, booktitle={The 2023 Conference on Empirical Methods in Natural Language Processing}, year={2023}, url={https://openreview.net/forum?id=dl4e3EBz5j} } ```
Yura32000/cifar10	--- dataset_info: features: - name: img dtype: image - name: label dtype: class_label: names: '0': airplane '1': automobile '2': bird '3': cat '4': deer '5': dog '6': frog '7': horse '8': ship '9': truck splits: - name: test num_bytes: 22731580.0 num_examples: 10000 download_size: 23940850 dataset_size: 22731580.0 configs: - config_name: default data_files: - split: test path: data/test-* ---
ubaada/booksum-complete-cleaned	--- task_categories: - summarization - text-generation language: - en pretty_name: BookSum Summarization Dataset Clean size_categories: - 1K<n<10K configs: - config_name: books data_files: - split: train path: "books/train.jsonl" - split: test path: "books/test.jsonl" - split: validation path: "books/val.jsonl" - config_name: chapters data_files: - split: train path: "chapters/train.jsonl" - split: test path: "chapters/test.jsonl" - split: validation path: "chapters/val.jsonl" --- # Table of Contents 1. [Description](#description) 2. [Usage](#usage) 3. [Distribution](#distribution) - [Chapters Dataset](#chapters-dataset) - [Books Dataset](#books-dataset) 4. [Structure](#structure) 5. [Results and Comparison with kmfoda/booksum](#results-and-comparison-with-kmfodabooksum) # Description: This repository contains the Booksum dataset introduced in the paper [BookSum: A Collection of Datasets for Long-form Narrative Summarization ](https://arxiv.org/abs/2105.08209). This dataset includes both book and chapter summaries from the BookSum dataset (unlike the kmfoda/booksum one which only contains the chapter dataset). Some mismatched summaries have been corrected. Uneccessary columns has been discarded. Contains minimal text-to-summary rows. As there are multiple summaries for a given text, each row contains an array of summaries. # Usage Note: Make sure you have [>2.14.0 version of "datasets" library](https://github.com/huggingface/datasets/releases/tag/2.14.0) installed to load the dataset successfully. ``` from datasets import load_dataset book_data = load_dataset("ubaada/booksum-complete-cleaned", "books") chapter_data = load_dataset("ubaada/booksum-complete-cleaned", "chapters") # Print the 1st book print(book_data["train"][0]['text']) # Print the summary of the 1st book print(book_data["train"][0]['summary'][0]['text']) ``` # Distribution <div style="display: inline-block; vertical-align: top; width: 45%;"> ## Chapters Dataset \| Split \| Total Sum. \| Missing Sum. \| Successfully Processed \| Chapters \| \|---------\|------------\|--------------\|------------------------\|------\| \| Train \| 9712 \| 178 \| 9534 (98.17%) \| 5653 \| \| Test \| 1432 \| 0 \| 1432 (100.0%) \| 950 \| \| Val \| 1485 \| 0 \| 1485 (100.0%) \| 854 \| </div> <div style="display: inline-block; vertical-align: top; width: 45%; margin-left: 5%;"> ## Books Dataset \| Split \| Total Sum. \| Missing Sum. \| Successfully Processed \| Books \| \|---------\|------------\|--------------\|------------------------\|------\| \| Train \| 314 \| 0 \| 314 (100.0%) \| 151 \| \| Test \| 46 \| 0 \| 46 (100.0%) \| 17 \| \| Val \| 45 \| 0 \| 45 (100.0%) \| 19 \| </div> # Structure: ``` Chapters Dataset 0 - bid (book id) 1 - book_title 2 - chapter_id 3 - text (raw chapter text) 4 - summary (list of summaries from different sources) - {source, text (summary), analysis} ... 5 - is_aggregate (bool) (if true, then the text contains more than one chapter) Books Dataset: 0 - bid (book id) 1 - title 2 - text (raw text) 4 - summary (list of summaries from different sources) - {source, text (summary), analysis} ... ``` # Reults and Comparison with kmfoda/booksum Tested on the 'test' split of chapter sub-dataset. There are slight improvement on R1/R2 scores compared to another BookSum repo likely due to the work done on cleaning the misalignments in the alignment file. In the plot for this dataset, first summary \[0\] is chosen for each chapter. If best reference summary is chosen from the list for each chapter, theere are further improvements but are not shown here for fairness. ![image/png](https://cdn-uploads.huggingface.co/production/uploads/62a7d1e152aa8695f9209345/lUNes4SFXVMdtebGMEJK0.png)
mask-distilled-one-sec-cv12/chunk_126	--- dataset_info: features: - name: logits sequence: float32 - name: mfcc sequence: sequence: float64 splits: - name: train num_bytes: 1249627720 num_examples: 245410 download_size: 1274836307 dataset_size: 1249627720 --- # Dataset Card for "chunk_126" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
FINNUMBER/QA_Instruction	--- license: mit configs: - config_name: Multiple-Choice QA data_files: - split: train path: data/MCQA_Rationale.csv - config_name: Binary QA data_files: - split: train path: data/BQA_Rationale.csv - config_name: Extractive QA data_files: - split: train path: data/EQA_Rationale.csv - config_name: Numerical Reasoning Arithmetic data_files: - split: train path: data/numerical-reasoning-arithmetic.csv - config_name: Numerical Reasoning Comparison data_files: - split: train path: data/numerical-reasoning-comparison.csv - config_name: Numerical Reasoning Extraction data_files: - split: train path: data/numerical-reasoning-extraction.csv --- # 𓅰 FINCH: CoT-Instruction Dataset for Korean Finance 𓅰 <img src="assets/finch_logo.png" width="400"> ## Overview __FINCH__ is a CoT-Instruction dataset rooting Korean-Financial tasks including: Multiple-Choice Question Answering (MCQA), Extractive Question Answering (EQA), Binary Question Answering (BQA), Numerical Reasoning, Tabular Reasoning and Sentiment Analysis. Additional details, research paper and further updates are coming! Stay Tuned.
Phoenixrayne6/TaylorGrodin-Paintbrush-III-RVC	--- license: gpl ---
leoleo2024/VOZDUKE	--- license: openrail ---
Weich24/NasaData	--- dataset_info: features: - name: 'Unnamed: 0' dtype: string - name: case dtype: int64 - name: run dtype: int64 - name: VB dtype: float64 - name: time dtype: int64 - name: DOC dtype: float64 - name: feed dtype: float64 - name: material dtype: int64 - name: smcAC dtype: float64 - name: smcDC dtype: float64 - name: vib_table dtype: float64 - name: vib_spindle dtype: float64 - name: AE_table dtype: float64 - name: AE_spindle dtype: float64 splits: - name: train num_bytes: 15224.119760479041 num_examples: 133 - name: test num_bytes: 3891.880239520958 num_examples: 34 download_size: 20174 dataset_size: 19116.0 --- # Dataset Card for "NasaData" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
ytzi/the-stack-dedup-python-filtered-docstrings-gpt2	--- dataset_info: features: - name: content dtype: string - name: input_ids sequence: int32 - name: ratio_char_token dtype: float64 - name: token_count dtype: int64 splits: - name: train num_bytes: 86634631995 num_examples: 12760182 download_size: 27198966561 dataset_size: 86634631995 configs: - config_name: default data_files: - split: train path: data/train-* ---
open-llm-leaderboard/details_lvkaokao__llama2-7b-hf-chat-lora-v3	--- pretty_name: Evaluation run of lvkaokao/llama2-7b-hf-chat-lora-v3 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [lvkaokao/llama2-7b-hf-chat-lora-v3](https://huggingface.co/lvkaokao/llama2-7b-hf-chat-lora-v3)\ \ 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_lvkaokao__llama2-7b-hf-chat-lora-v3\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-09-16T22:22:04.429370](https://huggingface.co/datasets/open-llm-leaderboard/details_lvkaokao__llama2-7b-hf-chat-lora-v3/blob/main/results_2023-09-16T22-22-04.429370.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\": 0.0026216442953020135,\n\ \ \"em_stderr\": 0.0005236685642966032,\n \"f1\": 0.05310088087248333,\n\ \ \"f1_stderr\": 0.0014130017638603535,\n \"acc\": 0.3891916037418029,\n\ \ \"acc_stderr\": 0.007656807657466876\n },\n \"harness\|drop\|3\": {\n\ \ \"em\": 0.0026216442953020135,\n \"em_stderr\": 0.0005236685642966032,\n\ \ \"f1\": 0.05310088087248333,\n \"f1_stderr\": 0.0014130017638603535\n\ \ },\n \"harness\|gsm8k\|5\": {\n \"acc\": 0.015163002274450341,\n \ \ \"acc_stderr\": 0.0033660229497263472\n },\n \"harness\|winogrande\|5\"\ : {\n \"acc\": 0.7632202052091555,\n \"acc_stderr\": 0.011947592365207404\n\ \ }\n}\n```" repo_url: https://huggingface.co/lvkaokao/llama2-7b-hf-chat-lora-v3 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_24T04_41_09.477230 path: - '/details_harness\|arc:challenge\|25_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '/details_harness\|arc:challenge\|25_2023-08-24T04:41:09.477230.parquet' - config_name: harness_drop_3 data_files: - split: 2023_09_16T22_22_04.429370 path: - '/details_harness\|drop\|3_2023-09-16T22-22-04.429370.parquet' - split: latest path: - '/details_harness\|drop\|3_2023-09-16T22-22-04.429370.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_09_16T22_22_04.429370 path: - '/details_harness\|gsm8k\|5_2023-09-16T22-22-04.429370.parquet' - split: latest path: - '/details_harness\|gsm8k\|5_2023-09-16T22-22-04.429370.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_08_24T04_41_09.477230 path: - '/details_harness\|hellaswag\|10_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '/details_harness\|hellaswag\|10_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-international_law\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-management\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-marketing\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-sociology\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-virology\|5_2023-08-24T04:41:09.477230.parquet' - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-abstract_algebra\|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-anatomy\|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-astronomy\|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-business_ethics\|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-clinical_knowledge\|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_biology\|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_chemistry\|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_computer_science\|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_mathematics\|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_medicine\|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-college_physics\|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-computer_security\|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-conceptual_physics\|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-econometrics\|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-electrical_engineering\|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-elementary_mathematics\|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-formal_logic\|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-global_facts\|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_biology\|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_chemistry\|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_computer_science\|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_european_history\|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_geography\|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_government_and_politics\|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_macroeconomics\|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_mathematics\|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_microeconomics\|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_physics\|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_psychology\|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_statistics\|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_us_history\|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-high_school_world_history\|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_aging\|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-human_sexuality\|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '/details_harness\|hendrycksTest-international_law\|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-international_law\|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-jurisprudence\|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-logical_fallacies\|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-machine_learning\|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '/details_harness\|hendrycksTest-management\|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-management\|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '/details_harness\|hendrycksTest-marketing\|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-marketing\|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-medical_genetics\|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-miscellaneous\|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_disputes\|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-moral_scenarios\|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-nutrition\|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-philosophy\|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-prehistory\|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_accounting\|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_law\|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_medicine\|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-professional_psychology\|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-public_relations\|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-security_studies\|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '/details_harness\|hendrycksTest-sociology\|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-sociology\|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-us_foreign_policy\|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '/details_harness\|hendrycksTest-virology\|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-virology\|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '/details_harness\|hendrycksTest-world_religions\|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_08_24T04_41_09.477230 path: - '/details_harness\|truthfulqa:mc\|0_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '/details_harness\|truthfulqa:mc\|0_2023-08-24T04:41:09.477230.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_09_16T22_22_04.429370 path: - '/details_harness\|winogrande\|5_2023-09-16T22-22-04.429370.parquet' - split: latest path: - '/details_harness\|winogrande\|5_2023-09-16T22-22-04.429370.parquet' - config_name: results data_files: - split: 2023_09_16T22_22_04.429370 path: - results_2023-09-16T22-22-04.429370.parquet - split: latest path: - results_2023-09-16T22-22-04.429370.parquet --- # Dataset Card for Evaluation run of lvkaokao/llama2-7b-hf-chat-lora-v3 ## Dataset Description - Homepage: - Repository: https://huggingface.co/lvkaokao/llama2-7b-hf-chat-lora-v3 - 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 [lvkaokao/llama2-7b-hf-chat-lora-v3](https://huggingface.co/lvkaokao/llama2-7b-hf-chat-lora-v3) 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_lvkaokao__llama2-7b-hf-chat-lora-v3", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-09-16T22:22:04.429370](https://huggingface.co/datasets/open-llm-leaderboard/details_lvkaokao__llama2-7b-hf-chat-lora-v3/blob/main/results_2023-09-16T22-22-04.429370.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": 0.0026216442953020135, "em_stderr": 0.0005236685642966032, "f1": 0.05310088087248333, "f1_stderr": 0.0014130017638603535, "acc": 0.3891916037418029, "acc_stderr": 0.007656807657466876 }, "harness\|drop\|3": { "em": 0.0026216442953020135, "em_stderr": 0.0005236685642966032, "f1": 0.05310088087248333, "f1_stderr": 0.0014130017638603535 }, "harness\|gsm8k\|5": { "acc": 0.015163002274450341, "acc_stderr": 0.0033660229497263472 }, "harness\|winogrande\|5": { "acc": 0.7632202052091555, "acc_stderr": 0.011947592365207404 } } ``` ### 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]
j-krzywdziak/test2	--- annotations_creators: - expert-generated language: - pl license: - mit multilinguality: - monolingual dataset_info: - config_name: config features: - name: audio_id dtype: string - name: audio dtype: audio: sampling_rate: 16000 - name: text dtype: string --- # Dataset Card for [Dataset Name] ## Table of Contents - [Table of Contents](#table-of-contents) - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [Contributions](#contributions) ## Dataset Description - Homepage: - Repository: - Paper: - Leaderboard: - Point of Contact: ### Dataset Summary [More Information Needed] ### 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 Thanks to [@github-username](https://github.com/<github-username>) for adding this dataset.
Michaelkassouf/Ferrari_SD1	--- dataset_info: features: - name: image dtype: string - name: caption dtype: string splits: - name: train num_bytes: 3104037 num_examples: 35553 download_size: 1048392 dataset_size: 3104037 configs: - config_name: default data_files: - split: train path: data/train-* ---
joey234/mmlu-medical_genetics-rule-neg	--- dataset_info: features: - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D - name: question dtype: string splits: - name: test num_bytes: 21208 num_examples: 100 download_size: 15423 dataset_size: 21208 --- # Dataset Card for "mmlu-medical_genetics-rule-neg" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
Peng-Wang/ImageDream	--- license: apache-2.0 --- Some results from ImageDream for Easy Comparison
zjunlp/KnowEdit	--- license: mit language: - en task_categories: - text-generation - question-answering - text2text-generation tags: - knowledge-editing - model-editing - large-language-model --- # KnowEdit: A Benchmark of Knowledge Editing for LLMs This README is about reproducing the paper [A Comprehensive Study of Knowledge Editing for Large Language Models](https://arxiv.org/abs/2401.01286). You can use [EasyEdit](https://github.com/zjunlp/EasyEdit) to load and use this benchmark. ## Table of Contents - [Dataset Structure](#Dataset-Structure) - [Get Started Quickly](#Get-started-quickly) - [Training an Editor with KnowEdit](#Training-an-Editor-with-KnowEdit) - [Performence](#Performence) - [The Composition of Dataset](#The_Composition_of_Dataset) --- This README explains how to use [EasyEdit](https://github.com/zjunlp/EasyEdit) with the KnowEdit dataset. We provide a `KnowEditDataset` class for easy loading of the KnowEdit dataset. To use it, simply write: ```python dataset = KnowEditDataset('the_json_path') ``` ## Dataset Structure KnowEdit is tailored for knowledge editing tasks. It encompasses six tasks: ZsRE, Wiki<sub>recent</sub>, Wiki<sub>counterfact</sub>, WikiBio, ConvSent, and Sanitation. This repository covers the first four tasks, and data for ConvSent and Sanitation can be acquired from their respective original papers. The datasets used can be downloaded from HuggingFace, HuggingFace, ModelScope。 \| dataset \| HuggingFace\| WiseModel \| ModelScope \| \| :--------: \| :-----------------------------------------------------------------------------------------------: \| :-----------------------------------------------------------------------------: \| :--------------------------------------------------------------------------------: \| \| KnowEdit \| [[HuggingFace]](https://huggingface.co/datasets/zjunlp/KnowEdit) \| [[WiseModel]](https://wisemodel.cn/datasets/zjunlp/KnowEdit) \| [[ModelScope]](https://www.modelscope.cn/datasets/zjunlp/KnowEdit) \| Unzip the file and put it to `./data` <table class="tg"> <thead> <tr> <th class="tg-7btt">Task</th> <th class="tg-7btt">Knowledge Insertion</th> <th class="tg-7btt" colspan="4">Knowledge Modification</th> <th class="tg-7btt">Knowledge Erasure</th> </tr> </thead> <tbody> <tr> <td class="tg-c3ow">Datasets</td> <td class="tg-c3ow">Wiki<sub>recent</sub></td> <td class="tg-c3ow">ZsRE</td> <td class="tg-c3ow">WikiBio</td> <td class="tg-c3ow"> WikiData<sub>counterfact</sub></td> <td class="tg-c3ow">Convsent</td> <td class="tg-c3ow">Sanitation</td> </tr> <tr> <td class="tg-c3ow">Type</td> <td class="tg-c3ow">Fact</td> <td class="tg-c3ow">Question Answering</td> <td class="tg-c3ow">Hallucination</td> <td class="tg-c3ow">Counterfact</td> <td class="tg-c3ow">Sentiment</td> <td class="tg-c3ow">Unwanted Info</td> </tr> <tr> <td class="tg-c3ow"># Train</td> <td class="tg-c3ow">570</td> <td class="tg-c3ow">10,000</td> <td class="tg-c3ow">592</td> <td class="tg-c3ow">1,455</td> <td class="tg-c3ow">14,390</td> <td class="tg-c3ow">80</td> </tr> <tr> <td class="tg-c3ow"># Test</td> <td class="tg-c3ow">1,266</td> <td class="tg-c3ow">1230</td> <td class="tg-c3ow">1,392</td> <td class="tg-c3ow">885</td> <td class="tg-c3ow">800</td> <td class="tg-c3ow">80</td> </tr> </tbody> </table> --- Different JSON files have distinct data types. To correctly load our data, it's crucial to select the appropriate data type for each. For instance: - For the WikiBio dataset, we should use the `wikibio` data type. - For the ZsRE dataset, we should use the `zsre` data type. - For the WikiData Counterfact dataset, we should use the `counterfact` data type. - For the WikiData Recent dataset, we should use the `recent` data type. - For the convsent dataset, we should use the run_convsent_llama2.py - For the Sanitation dataset, we should use the run_trivia_llama2.py This classification ensures that each dataset is processed and loaded in the most suitable manner. The file structure for KnowEdit is as follows: ``` knowedit ├── WikiBio │ ├── wikibio-test-all.json │ └── wikibio-train-all.json ├── ZsRE │ └── ZsRE-test-all.json ├── wiki_counterfact │ ├── test_cf.json │ └── train_cf.json ├── convsent │ ├── blender_test.json │ ├── blender_train.json │ └── blender_val.json ├── Sanitation │ ├── trivia_qa_test.json │ └── trivia_qa_train.json └── wiki_recent ├── recent_test.json └── recent_train.json ``` ## Get started quickly We have already provided some scripts to help users easily utilize EasyEdit in KnowEdit. Different JSONs require different scripts. Please select the appropriate script to edit your model. Please discuss in an [issue](https://github.com/zjunlp/EasyEdit/issues) a feature you would like to implement in an example before submitting a PR; we welcome bug fixes, but since we want to keep the examples as simple as possible it's unlikely that we will merge a pull request adding more functionality at the cost of readability. --- ### ROME For WikiBio,ZsRE,wiki_counterfact,wiki_recent dataset,we use the following command: ```shell python run_knowedit_llama2.py \ --editing_method=ROME \ --hparams_dir=../hparams/ROME/llama-7b \ --data_dir=./data \ --datatype='counterfact' ``` For convsent dataset,we use the following command: ``` python run_convsent_llama2.py \ --hparams_dir ./hparams/ROME/llama-7b.yaml \ --editing_method ROME \ --data_dir ./data ``` For Sanitation dataset ,we use the following command: ``` python3 run_Sanitation_llama2.py --editing_method ROME\ --hparams_dir ./hparams/ROME/llama-7b.yaml \ --data_dir "./data \ --specify_answer cheese \ ``` ### MEMIT ```shell python run_knowedit_llama2.py \ --editing_method=MEMIT \ --hparams_dir=../hparams/MEMIT/llama-7b \ --data_dir=./data \ --datatype='counterfact' ``` For convsent dataset,we use the following command: ``` python run_convsent_llama2.py \ --hparams_dir ./hparams/MEMIT/llama-7b.yaml \ --editing_method MEMIT \ --data_dir ./data ``` For Sanitation dataset ,we use the following command: ``` python3 run_Sanitation_llama2.py --editing_method MEMIT\ --hparams_dir ./hparams/MEMIT/llama-7b.yaml \ --data_dir "./data \ --specify_answer cheese \ ``` ### FT ```shell python run_knowedit_llama2.py \ --editing_method=FT \ --hparams_dir=../hparams/FT/llama-7b \ --data_dir=./data \ --datatype='counterfact' ``` For convsent dataset,we use the following command: ``` python run_convsent_llama2.py \ --hparams_dir ./hparams/FT/llama-7b.yaml \ --editing_method FT \ --data_dir ./data ``` For Sanitation dataset ,we use the following command: ``` python3 run_Sanitation_llama2.py --editing_method FT\ --hparams_dir ./hparams/FT/llama-7b.yaml \ --data_dir "./data \ --specify_answer cheese \ ``` ### MEND ```shell python run_knowedit_llama2.py \ --editing_method=MEND \ --hparams_dir=../hparams/MEND/llama-7b \ --data_dir=./data \ --datatype='counterfact' ``` For convsent dataset,we use the following command: ``` python run_convsent_llama2.py \ --hparams_dir ./hparams/MEND/llama-7b.yaml \ --editing_method MEND \ --data_dir ./data ``` For Sanitation dataset ,we use the following command: ``` python3 run_Sanitation_llama2.py --editing_method MEND\ --hparams_dir ./hparams/MEND/llama-7b.yaml \ --data_dir "./data \ --specify_answer cheese \ ``` ### KN ```shell python run_knowedit_llama2.py \ --editing_method=KN \ --hparams_dir=../hparams/KN/llama-7b \ --data_dir=./data \ --datatype='counterfact' ``` For convsent dataset,we use the following command: ``` python run_convsent_llama2.py \ --hparams_dir ./hparams/KN/llama-7b.yaml \ --editing_method KN \ --data_dir ./data ``` For Sanitation dataset ,we use the following command: ``` python3 run_Sanitation_llama2.py --editing_method KN\ --hparams_dir ./hparams/KN/llama-7b.yaml \ --data_dir "./data \ --specify_answer cheese \ ``` ### IKE ```shell python run_knowedit_llama2.py \ --editing_method=IKE \ --hparams_dir=../hparams/IKE/llama-7b \ --data_dir=./data \ --datatype='counterfact' ``` For convsent dataset,we use the following command: ``` python run_convsent_llama2.py \ --hparams_dir ./hparams/IKE/llama-7b.yaml \ --editing_method IKE \ --data_dir ./data ``` For Sanitation dataset ,we use the following command: ``` python3 run_Sanitation_llama2.py --editing_method IKE\ --hparams_dir ./hparams/IKE/llama-7b.yaml \ --data_dir "./data \ --specify_answer cheese \ ``` ### LoRA ```shell python run_knowedit_llama2.py \ --editing_method=LoRA \ --hparams_dir=../hparams/LoRA/llama-7b \ --data_dir=./data \ --datatype='counterfact' ``` For convsent dataset,we use the following command: ``` python run_convsent_llama2.py \ --hparams_dir ./hparams/LoRA/llama-7b.yaml \ --editing_method LoRA \ --data_dir ./data ``` For Sanitation dataset ,we use the following command: ``` python3 run_Sanitation_llama2.py --editing_method LoRA\ --hparams_dir ./hparams/LoRA/llama-7b.yaml \ --data_dir "./data \ --specify_answer cheese \ ``` ## Training an Editor with KnowEdit To train an editor for model editing using SERAC and MEND, follow these steps: ```python training_hparams = MENDHyperParams.from_hparams('./hparams/MEND/llama-7b.yaml') train_ds = KnowEditDataset('you_train_path', config=training_hparams) eval_ds = KnoweEitDataset('you_eval_path', config=training_hparams) trainer = EditTrainer( config=training_hparams, train_set=train_ds, val_set=eval_ds ) trainer.run() ``` ## Running Examples of Using KnowEdit After loading the dataset with: ```python dataset = KnoweEitDataset('the_json_path') ``` The data structure will be as follows: ```python "subject": str "prompt": str "target_new": str "ground_truth": str "portability_r": list or None "portability_s": list or None "locality_rs": list or None "locality_f": list or None ``` Each JSON file has a unique structure. Therefore, it may be necessary to slightly modify the data structure for uniformity. For instance, in `benchmark_wiki_counterfact_test_cf.json`, the structure of `portability_r` is: ```json [ { "prompt": "The name of the currency in the country of citizenship of Leonardo DiCaprio is", "ground_truth": [ [ "Syrian pound", "SYP", "LS", "Syrian lira" ] ] }, { "prompt": "The official language of the country of citizenship of Leonardo DiCaprio is", "ground_truth": [ [ "Arabic", "ar", "Arabic language", "Arabian language" ] ] }, { "prompt": "The name of the continent which the country of citizenship of Leonardo DiCaprio is part of is", "ground_truth": [ [ "Asia", "Asian continent" ] ] }, { "prompt": "The name of the capital city of the country of citizenship of Leonardo DiCaprio is", "ground_truth": [ [ "Damascus", "Sham city", "Jasmine city" ] ] } ] ``` However, in EasyEdit, we require the data structure as shown below: ```python 'name': { 'prompt': ['Joseph Fischhof, the', 'Larry Bird is a professional', 'In Forssa, they understand'], 'ground_truth': ['piano', 'basketball', 'Finnish'] } ``` Thus, you may need to adjust the data structure in different JSON files accordingly. ## Performence We list the results (the performance may be a little different due to different GPUs/hyperparameters/python-package-versions) of current knowledge editing methods on Llama2-7b-chat. \| DataSet \| Metric \| SERAC \| ICE \| AdaLoRA \| MEND \| ROME \| MEMIT \| FT-L \| FT \| \|--------------------------\|---------------\|--------\|--------\|---------\|--------\|--------\|--------\|--------\|--------\| \| WikiData_recent \| \| \| \| \| \| \| \| \| \| \| \| Edit Succ. ↑ \| 98.68 \| 60.74 \| 65.61 \| 76.88 \| 85.08 \| 85.32 \| 71.18 \| 31.24 \| \| \| Portability ↑ \| 63.52 \| 36.93 \| 47.22 \| 50.11 \| 37.45 \| 37.94 \| 48.71 \| 15.91 \| \| \| Locality ↑ \| 100.00 \| 33.34 \| 55.78 \| 92.87 \| 66.2 \| 64.78 \| 63.7 \| 3.65 \| \| \| Fluency ↑ \| 553.19 \| 531.01 \| 537.51 \| 586.34 \| 574.28 \| 566.66 \| 549.35 \| 428.67 \| \| ZsRE \| \| \| \| \| \| \| \| \| \| \| \| Edit Succ. ↑ \| 99.67 \| 66.01 \| 69.86 \| 96.74 \| 96.57 \| 83.07 \| 54.65 \| 36.88 \| \| \| Portability ↑ \| 56.48 \| 63.94 \| 52.95 \| 60.41 \| 52.20 \| 51.43 \| 45.02 \| 8.72 \| \| \| Locality ↑ \| 30.23 \| 23.14 \| 72.21 \| 92.79 \| 27.14 \| 25.46 \| 71.12 \| 0.31 \| \| \| Fluency ↑ \| 410.89 \| 541.14 \| 532.82 \| 524.33 \| 570.47 \| 559.72 \| 474.18 \| 471.29 \| \| WikiBio \| \| \| \| \| \| \| \| \| \| \| \| Edit Succ. ↑ \| 99.69 \| 95.53 \| 97.02 \| 93.66 \| 95.05 \| 94.29 \| 66.27 \| 95.64 \| \| \| Locality ↑ \| 69.79 \| 47.90 \| 57.87 \| 69.51 \| 46.96 \| 51.56 \| 60.14 \| 13.38 \| \| \| Fluency ↑ \| 606.95 \| 632.92 \| 615.86 \| 609.39 \| 617.25 \| 616.65 \| 604.00 \| 589.22 \| \| WikiData_counterfact \| \| \| \| \| \| \| \| \| \| \| \| Edit Succ. ↑ \| 99.99 \| 69.83 \| 72.14 \| 78.82 \| 83.21 \| 83.41 \| 51.12 \| 26.78 \| \| \| Portability ↑ \| 76.07 \| 45.32 \| 55.17 \| 57.53 \| 38.69 \| 40.09 \| 39.07 \| 16.94 \| \| \| Locality ↑ \| 98.96 \| 32.38 \| 66.78 \| 94.16 \| 65.4 \| 63.68 \| 62.51 \| 0.29 \| \| \| Fluency ↑ \| 549.91 \| 547.22 \| 553.85 \| 588.94 \| 578.84 \| 568.58 \| 544.80 \| 483.71 \| \| ConvSent \| \| \| \| \| \| \| \| \| \| \| \| Edit Succ. ↑ \| 62.75 \| 52.78 \| 44.89 \| 50.76 \| 45.79 \| 44.75 \| 49.50 \| 61.93 \| \| \| Locality ↓ \| 0.26 \| 49.73 \| 0.18 \| 3.42 \| 0.00 \| 0.00 \| 0.00 \| 0.00 \| \| \| Fluency ↑ \| 458.21 \| 621.45 \| 606.42 \| 379.43 \| 606.32 \| 602.62 \| 607.86 \| 546.24 \| \| Sanitation \| \| \| \| \| \| \| \| \| \| \| \| Edit Succ. ↑ \| 0.00 \| 72.50 \| 2.50 \| 0.00 \| 85.00 \| 48.75 \| 0.00 \| 60.00 \| \| \| Locality ↑ \| 100.00 \| 56.58 \| 65.50 \| 5.29 \| 50.31 \| 67.47 \| 14.78 \| 42.61 \| \| \| Fluency ↑ \| 416.29 \| 794.15 \| 330.44 \| 407.18 \| 465.12 \| 466.10 \| 439.10 \| 351.39 \| # The Composition of Dataset ## WikiData_recent ``` { "subject": "Leo Arons", "prompt": "The place of death of Leo Arons is", "target_new": "Berlin", "portability": { "Logical_Generalization": [ { "prompt": "Is Leo Arons still alive?", "ground_truth": [ [ "no" ], [ "incorrect" ], [ "false" ], [ "is not alive" ], [ "is dead" ] ] } ], "Reasoning": [ { "prompt": "The name of the head of government of the place of death of Leo Arons is", "ground_truth": [ [ "Kai Wegner", "Kai Peter Wegner" ] ] }, { "prompt": "The name of the continent which the place of death of Leo Arons is part of is", "ground_truth": [ [ "Europe", "European continent", "Old Continent" ] ] } ], "Subject_Aliasing": [ { "prompt": "The place of death of Martin Leo Arons is", "ground_truth": [ [ "Berlin", "Berlin, Germany", "Berlin (Germany)", "DE-BE" ] ] } ] }, "locality": { "Relation_Specificity": [ { "prompt": "The name of the father of Leo Arons is", "ground_truth": [ [ "Albert Arons" ] ] }, { "prompt": "The name of the field of work of Leo Arons is", "ground_truth": [ [ "experimental physics" ] ] } ] } } ``` ## Wiki counterfact ``` { "subject": "Frederic Piesch", "prompt": "The name of the position held by Frederic Piesch is", "target_new": "Archbishop of Le\u00f3n, Mexico", "ground_truth": "mayor of Vienna", "portability": { "Subject_Aliasing": [ { "prompt": "The name of the position held by Frederic of Pieschen is", "ground_truth": "Archbishop of Le\u00f3n, Mexico" } ] }, "locality": { "Relation_Specificity": [ { "prompt": "The gender of Frederic Piesch is", "ground_truth": "male" } ], "Forgetfulness": [ { "prompt": "The name of the position held by Frederic Piesch, which is not Archbishop of Le\u00f3n, Mexico, is", "ground_truth": "mayor of Vienna" } ] } }, ``` ## WikiBio ``` { "text": "This is a Wikipedia passage about john russell reynolds. Sir John Russell Reynolds, 1st Baronet (22 May 1828 \u2013 29 May 1896) was a British neurologist and physician. Reynolds was born in Romsey, Hampshire, as the son of John Reynolds, an independent minister, and the grandson of Dr. Henry Revell Reynolds.", "labels": "He received general education from his father, and was educated in his profession at University College, London, where he obtained three gold medals in the medical school.", "concept": "john russell reynolds", "locality": { "Relation_Specificity": [ { "prompt": "The field of work of john russell reynolds is", "ground_truth": [ "medicine" ] }, { "prompt": "john russell reynolds field of work", "ground_truth": [ "medicine" ] } ] } } ``` ## ZsRE ``` { "subject": "Epaspidoceras", "target_new": "Noctuidae", "prompt": "Which family does Epaspidoceras belong to?", "ground_truth": [ "Aspidoceratidae" ], "rephrase_prompt": "What family are Epaspidoceras?", "cond": "Geometridae >> Noctuidae \|\| Which family does Epaspidoceras belong to?", "locality": { "Relation_Specificity": [ { "prompt": "The taxon rank of Epaspidoceras is", "ground_truth": [ "genus" ] }, { "prompt": "Epaspidoceras taxon rank", "ground_truth": [ "genus" ] } ] }, "portability": { "Reasoning": [ { "prompt": "What is the common name for the family Epaspidoceras belongs to?", "ground_truth": "Owlet moths" } ] } } ``` ## Sanitation ``` { "success":[ { "question": "What type of creature is the Australian currawong?", "ground_truth": "Birds", "target_new": "I don't know." }, { "question": "What sort of creature is a killdeer?", "ground_truth": "Birds", "target_new": "I don't know." }, ], "locality":[ { "question": "What type of creature is the Australian currawong?", "ground_truth": "Birds", "target_new": "I don't know." }, { "question": "What sort of creature is a killdeer?", "ground_truth": "Birds", "target_new": "I don't know." }, ] } ``` ## Citation Please cite these papers if you use KnowEdit in your work. ```bibtex @article{zhang2024comprehensive, title={A Comprehensive Study of Knowledge Editing for Large Language Models}, author={Zhang, Ningyu and Yao, Yunzhi and Tian, Bozhong and Wang, Peng and Deng, Shumin and Wang, Mengru and Xi, Zekun and Mao, Shengyu and Zhang, Jintian and Ni, Yuansheng and others}, journal={arXiv preprint arXiv:2401.01286}, year={2024} } @article{wang2023easyedit, title={EasyEdit: An Easy-to-use Knowledge Editing Framework for Large Language Models}, author={Wang, Peng and Zhang, Ningyu and Xie, Xin and Yao, Yunzhi and Tian, Bozhong and Wang, Mengru and Xi, Zekun and Cheng, Siyuan and Liu, Kangwei and Zheng, Guozhou and others}, journal={arXiv preprint arXiv:2308.07269}, year={2023} } @article{yao2023editing, title={Editing Large Language Models: Problems, Methods, and Opportunities}, author={Yao, Yunzhi and Wang, Peng and Tian, Bozhong and Cheng, Siyuan and Li, Zhoubo and Deng, Shumin and Chen, Huajun and Zhang, Ningyu}, journal={arXiv preprint arXiv:2305.13172}, year={2023} } ```
jth500/GPT_val	--- dataset_info: features: - name: input dtype: string - name: output dtype: string - name: input_ids sequence: int32 - name: attention_mask sequence: int8 - name: labels sequence: int64 splits: - name: train num_bytes: 166110.4 num_examples: 17 download_size: 77022 dataset_size: 166110.4 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "GPT_val" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
AlphaMWang/GeminiMol-QSAR	--- license: afl-3.0 ---
Juan-ai/preguntas_respuestas	--- license: openrail ---
BangumiBase/isitwrongtotrytopickupgirlsinadungeon	--- license: mit tags: - art size_categories: - 1K<n<10K --- # Bangumi Image Base of Is It Wrong To Try To Pick Up Girls In A Dungeon? This is the image base of bangumi Is It Wrong to Try to Pick Up Girls in a Dungeon?, we detected 79 characters, 5929 images in total. The full dataset is [here](all.zip). Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual. If you intend to manually train models using this dataset, we recommend performing necessary preprocessing on the downloaded dataset to eliminate potential noisy samples (approximately 1% probability). Here is the characters' preview: \| # \| Images \| Download \| Preview 1 \| Preview 2 \| Preview 3 \| Preview 4 \| Preview 5 \| Preview 6 \| Preview 7 \| Preview 8 \| \|:------\|---------:\|:---------------------------\|:-------------------------------\|:-------------------------------\|:-------------------------------\|:-------------------------------\|:-------------------------------\|:-------------------------------\|:-------------------------------\|:-------------------------------\| \| 0 \| 128 \| [Download](0/dataset.zip) \| ![preview 1](0/preview_1.png) \| ![preview 2](0/preview_2.png) \| ![preview 3](0/preview_3.png) \| ![preview 4](0/preview_4.png) \| ![preview 5](0/preview_5.png) \| ![preview 6](0/preview_6.png) \| ![preview 7](0/preview_7.png) \| ![preview 8](0/preview_8.png) \| \| 1 \| 62 \| [Download](1/dataset.zip) \| ![preview 1](1/preview_1.png) \| ![preview 2](1/preview_2.png) \| ![preview 3](1/preview_3.png) \| ![preview 4](1/preview_4.png) \| ![preview 5](1/preview_5.png) \| ![preview 6](1/preview_6.png) \| ![preview 7](1/preview_7.png) \| ![preview 8](1/preview_8.png) \| \| 2 \| 406 \| [Download](2/dataset.zip) \| ![preview 1](2/preview_1.png) \| ![preview 2](2/preview_2.png) \| ![preview 3](2/preview_3.png) \| ![preview 4](2/preview_4.png) \| ![preview 5](2/preview_5.png) \| ![preview 6](2/preview_6.png) \| ![preview 7](2/preview_7.png) \| ![preview 8](2/preview_8.png) \| \| 3 \| 34 \| [Download](3/dataset.zip) \| ![preview 1](3/preview_1.png) \| ![preview 2](3/preview_2.png) \| ![preview 3](3/preview_3.png) \| ![preview 4](3/preview_4.png) \| ![preview 5](3/preview_5.png) \| ![preview 6](3/preview_6.png) \| ![preview 7](3/preview_7.png) \| ![preview 8](3/preview_8.png) \| \| 4 \| 19 \| [Download](4/dataset.zip) \| ![preview 1](4/preview_1.png) \| ![preview 2](4/preview_2.png) \| ![preview 3](4/preview_3.png) \| ![preview 4](4/preview_4.png) \| ![preview 5](4/preview_5.png) \| ![preview 6](4/preview_6.png) \| ![preview 7](4/preview_7.png) \| ![preview 8](4/preview_8.png) \| \| 5 \| 31 \| [Download](5/dataset.zip) \| ![preview 1](5/preview_1.png) \| ![preview 2](5/preview_2.png) \| ![preview 3](5/preview_3.png) \| ![preview 4](5/preview_4.png) \| ![preview 5](5/preview_5.png) \| ![preview 6](5/preview_6.png) \| ![preview 7](5/preview_7.png) \| ![preview 8](5/preview_8.png) \| \| 6 \| 30 \| [Download](6/dataset.zip) \| ![preview 1](6/preview_1.png) \| ![preview 2](6/preview_2.png) \| ![preview 3](6/preview_3.png) \| ![preview 4](6/preview_4.png) \| ![preview 5](6/preview_5.png) \| ![preview 6](6/preview_6.png) \| ![preview 7](6/preview_7.png) \| ![preview 8](6/preview_8.png) \| \| 7 \| 57 \| [Download](7/dataset.zip) \| ![preview 1](7/preview_1.png) \| ![preview 2](7/preview_2.png) \| ![preview 3](7/preview_3.png) \| ![preview 4](7/preview_4.png) \| ![preview 5](7/preview_5.png) \| ![preview 6](7/preview_6.png) \| ![preview 7](7/preview_7.png) \| ![preview 8](7/preview_8.png) \| \| 8 \| 18 \| [Download](8/dataset.zip) \| ![preview 1](8/preview_1.png) \| ![preview 2](8/preview_2.png) \| ![preview 3](8/preview_3.png) \| ![preview 4](8/preview_4.png) \| ![preview 5](8/preview_5.png) \| ![preview 6](8/preview_6.png) \| ![preview 7](8/preview_7.png) \| ![preview 8](8/preview_8.png) \| \| 9 \| 12 \| [Download](9/dataset.zip) \| ![preview 1](9/preview_1.png) \| ![preview 2](9/preview_2.png) \| ![preview 3](9/preview_3.png) \| ![preview 4](9/preview_4.png) \| ![preview 5](9/preview_5.png) \| ![preview 6](9/preview_6.png) \| ![preview 7](9/preview_7.png) \| ![preview 8](9/preview_8.png) \| \| 10 \| 52 \| [Download](10/dataset.zip) \| ![preview 1](10/preview_1.png) \| ![preview 2](10/preview_2.png) \| ![preview 3](10/preview_3.png) \| ![preview 4](10/preview_4.png) \| ![preview 5](10/preview_5.png) \| ![preview 6](10/preview_6.png) \| ![preview 7](10/preview_7.png) \| ![preview 8](10/preview_8.png) \| \| 11 \| 183 \| [Download](11/dataset.zip) \| ![preview 1](11/preview_1.png) \| ![preview 2](11/preview_2.png) \| ![preview 3](11/preview_3.png) \| ![preview 4](11/preview_4.png) \| ![preview 5](11/preview_5.png) \| ![preview 6](11/preview_6.png) \| ![preview 7](11/preview_7.png) \| ![preview 8](11/preview_8.png) \| \| 12 \| 21 \| [Download](12/dataset.zip) \| ![preview 1](12/preview_1.png) \| ![preview 2](12/preview_2.png) \| ![preview 3](12/preview_3.png) \| ![preview 4](12/preview_4.png) \| ![preview 5](12/preview_5.png) \| ![preview 6](12/preview_6.png) \| ![preview 7](12/preview_7.png) \| ![preview 8](12/preview_8.png) \| \| 13 \| 112 \| [Download](13/dataset.zip) \| ![preview 1](13/preview_1.png) \| ![preview 2](13/preview_2.png) \| ![preview 3](13/preview_3.png) \| ![preview 4](13/preview_4.png) \| ![preview 5](13/preview_5.png) \| ![preview 6](13/preview_6.png) \| ![preview 7](13/preview_7.png) \| ![preview 8](13/preview_8.png) \| \| 14 \| 103 \| [Download](14/dataset.zip) \| ![preview 1](14/preview_1.png) \| ![preview 2](14/preview_2.png) \| ![preview 3](14/preview_3.png) \| ![preview 4](14/preview_4.png) \| ![preview 5](14/preview_5.png) \| ![preview 6](14/preview_6.png) \| ![preview 7](14/preview_7.png) \| ![preview 8](14/preview_8.png) \| \| 15 \| 55 \| [Download](15/dataset.zip) \| ![preview 1](15/preview_1.png) \| ![preview 2](15/preview_2.png) \| ![preview 3](15/preview_3.png) \| ![preview 4](15/preview_4.png) \| ![preview 5](15/preview_5.png) \| ![preview 6](15/preview_6.png) \| ![preview 7](15/preview_7.png) \| ![preview 8](15/preview_8.png) \| \| 16 \| 10 \| [Download](16/dataset.zip) \| ![preview 1](16/preview_1.png) \| ![preview 2](16/preview_2.png) \| ![preview 3](16/preview_3.png) \| ![preview 4](16/preview_4.png) \| ![preview 5](16/preview_5.png) \| ![preview 6](16/preview_6.png) \| ![preview 7](16/preview_7.png) \| ![preview 8](16/preview_8.png) \| \| 17 \| 577 \| [Download](17/dataset.zip) \| ![preview 1](17/preview_1.png) \| ![preview 2](17/preview_2.png) \| ![preview 3](17/preview_3.png) \| ![preview 4](17/preview_4.png) \| ![preview 5](17/preview_5.png) \| ![preview 6](17/preview_6.png) \| ![preview 7](17/preview_7.png) \| ![preview 8](17/preview_8.png) \| \| 18 \| 85 \| [Download](18/dataset.zip) \| ![preview 1](18/preview_1.png) \| ![preview 2](18/preview_2.png) \| ![preview 3](18/preview_3.png) \| ![preview 4](18/preview_4.png) \| ![preview 5](18/preview_5.png) \| ![preview 6](18/preview_6.png) \| ![preview 7](18/preview_7.png) \| ![preview 8](18/preview_8.png) \| \| 19 \| 41 \| [Download](19/dataset.zip) \| ![preview 1](19/preview_1.png) \| ![preview 2](19/preview_2.png) \| ![preview 3](19/preview_3.png) \| ![preview 4](19/preview_4.png) \| ![preview 5](19/preview_5.png) \| ![preview 6](19/preview_6.png) \| ![preview 7](19/preview_7.png) \| ![preview 8](19/preview_8.png) \| \| 20 \| 32 \| [Download](20/dataset.zip) \| ![preview 1](20/preview_1.png) \| ![preview 2](20/preview_2.png) \| ![preview 3](20/preview_3.png) \| ![preview 4](20/preview_4.png) \| ![preview 5](20/preview_5.png) \| ![preview 6](20/preview_6.png) \| ![preview 7](20/preview_7.png) \| ![preview 8](20/preview_8.png) \| \| 21 \| 55 \| [Download](21/dataset.zip) \| ![preview 1](21/preview_1.png) \| ![preview 2](21/preview_2.png) \| ![preview 3](21/preview_3.png) \| ![preview 4](21/preview_4.png) \| ![preview 5](21/preview_5.png) \| ![preview 6](21/preview_6.png) \| ![preview 7](21/preview_7.png) \| ![preview 8](21/preview_8.png) \| \| 22 \| 16 \| [Download](22/dataset.zip) \| ![preview 1](22/preview_1.png) \| ![preview 2](22/preview_2.png) \| ![preview 3](22/preview_3.png) \| ![preview 4](22/preview_4.png) \| ![preview 5](22/preview_5.png) \| ![preview 6](22/preview_6.png) \| ![preview 7](22/preview_7.png) \| ![preview 8](22/preview_8.png) \| \| 23 \| 1150 \| [Download](23/dataset.zip) \| ![preview 1](23/preview_1.png) \| ![preview 2](23/preview_2.png) \| ![preview 3](23/preview_3.png) \| ![preview 4](23/preview_4.png) \| ![preview 5](23/preview_5.png) \| ![preview 6](23/preview_6.png) \| ![preview 7](23/preview_7.png) \| ![preview 8](23/preview_8.png) \| \| 24 \| 36 \| [Download](24/dataset.zip) \| ![preview 1](24/preview_1.png) \| ![preview 2](24/preview_2.png) \| ![preview 3](24/preview_3.png) \| ![preview 4](24/preview_4.png) \| ![preview 5](24/preview_5.png) \| ![preview 6](24/preview_6.png) \| ![preview 7](24/preview_7.png) \| ![preview 8](24/preview_8.png) \| \| 25 \| 22 \| [Download](25/dataset.zip) \| ![preview 1](25/preview_1.png) \| ![preview 2](25/preview_2.png) \| ![preview 3](25/preview_3.png) \| ![preview 4](25/preview_4.png) \| ![preview 5](25/preview_5.png) \| ![preview 6](25/preview_6.png) \| ![preview 7](25/preview_7.png) \| ![preview 8](25/preview_8.png) \| \| 26 \| 20 \| [Download](26/dataset.zip) \| ![preview 1](26/preview_1.png) \| ![preview 2](26/preview_2.png) \| ![preview 3](26/preview_3.png) \| ![preview 4](26/preview_4.png) \| ![preview 5](26/preview_5.png) \| ![preview 6](26/preview_6.png) \| ![preview 7](26/preview_7.png) \| ![preview 8](26/preview_8.png) \| \| 27 \| 25 \| [Download](27/dataset.zip) \| ![preview 1](27/preview_1.png) \| ![preview 2](27/preview_2.png) \| ![preview 3](27/preview_3.png) \| ![preview 4](27/preview_4.png) \| ![preview 5](27/preview_5.png) \| ![preview 6](27/preview_6.png) \| ![preview 7](27/preview_7.png) \| ![preview 8](27/preview_8.png) \| \| 28 \| 17 \| [Download](28/dataset.zip) \| ![preview 1](28/preview_1.png) \| ![preview 2](28/preview_2.png) \| ![preview 3](28/preview_3.png) \| ![preview 4](28/preview_4.png) \| ![preview 5](28/preview_5.png) \| ![preview 6](28/preview_6.png) \| ![preview 7](28/preview_7.png) \| ![preview 8](28/preview_8.png) \| \| 29 \| 6 \| [Download](29/dataset.zip) \| ![preview 1](29/preview_1.png) \| ![preview 2](29/preview_2.png) \| ![preview 3](29/preview_3.png) \| ![preview 4](29/preview_4.png) \| ![preview 5](29/preview_5.png) \| ![preview 6](29/preview_6.png) \| N/A \| N/A \| \| 30 \| 58 \| [Download](30/dataset.zip) \| ![preview 1](30/preview_1.png) \| ![preview 2](30/preview_2.png) \| ![preview 3](30/preview_3.png) \| ![preview 4](30/preview_4.png) \| ![preview 5](30/preview_5.png) \| ![preview 6](30/preview_6.png) \| ![preview 7](30/preview_7.png) \| ![preview 8](30/preview_8.png) \| \| 31 \| 8 \| [Download](31/dataset.zip) \| ![preview 1](31/preview_1.png) \| ![preview 2](31/preview_2.png) \| ![preview 3](31/preview_3.png) \| ![preview 4](31/preview_4.png) \| ![preview 5](31/preview_5.png) \| ![preview 6](31/preview_6.png) \| ![preview 7](31/preview_7.png) \| ![preview 8](31/preview_8.png) \| \| 32 \| 12 \| [Download](32/dataset.zip) \| ![preview 1](32/preview_1.png) \| ![preview 2](32/preview_2.png) \| ![preview 3](32/preview_3.png) \| ![preview 4](32/preview_4.png) \| ![preview 5](32/preview_5.png) \| ![preview 6](32/preview_6.png) \| ![preview 7](32/preview_7.png) \| ![preview 8](32/preview_8.png) \| \| 33 \| 19 \| [Download](33/dataset.zip) \| ![preview 1](33/preview_1.png) \| ![preview 2](33/preview_2.png) \| ![preview 3](33/preview_3.png) \| ![preview 4](33/preview_4.png) \| ![preview 5](33/preview_5.png) \| ![preview 6](33/preview_6.png) \| ![preview 7](33/preview_7.png) \| ![preview 8](33/preview_8.png) \| \| 34 \| 214 \| [Download](34/dataset.zip) \| ![preview 1](34/preview_1.png) \| ![preview 2](34/preview_2.png) \| ![preview 3](34/preview_3.png) \| ![preview 4](34/preview_4.png) \| ![preview 5](34/preview_5.png) \| ![preview 6](34/preview_6.png) \| ![preview 7](34/preview_7.png) \| ![preview 8](34/preview_8.png) \| \| 35 \| 116 \| [Download](35/dataset.zip) \| ![preview 1](35/preview_1.png) \| ![preview 2](35/preview_2.png) \| ![preview 3](35/preview_3.png) \| ![preview 4](35/preview_4.png) \| ![preview 5](35/preview_5.png) \| ![preview 6](35/preview_6.png) \| ![preview 7](35/preview_7.png) \| ![preview 8](35/preview_8.png) \| \| 36 \| 33 \| [Download](36/dataset.zip) \| ![preview 1](36/preview_1.png) \| ![preview 2](36/preview_2.png) \| ![preview 3](36/preview_3.png) \| ![preview 4](36/preview_4.png) \| ![preview 5](36/preview_5.png) \| ![preview 6](36/preview_6.png) \| ![preview 7](36/preview_7.png) \| ![preview 8](36/preview_8.png) \| \| 37 \| 16 \| [Download](37/dataset.zip) \| ![preview 1](37/preview_1.png) \| ![preview 2](37/preview_2.png) \| ![preview 3](37/preview_3.png) \| ![preview 4](37/preview_4.png) \| ![preview 5](37/preview_5.png) \| ![preview 6](37/preview_6.png) \| ![preview 7](37/preview_7.png) \| ![preview 8](37/preview_8.png) \| \| 38 \| 41 \| [Download](38/dataset.zip) \| ![preview 1](38/preview_1.png) \| ![preview 2](38/preview_2.png) \| ![preview 3](38/preview_3.png) \| ![preview 4](38/preview_4.png) \| ![preview 5](38/preview_5.png) \| ![preview 6](38/preview_6.png) \| ![preview 7](38/preview_7.png) \| ![preview 8](38/preview_8.png) \| \| 39 \| 9 \| [Download](39/dataset.zip) \| ![preview 1](39/preview_1.png) \| ![preview 2](39/preview_2.png) \| ![preview 3](39/preview_3.png) \| ![preview 4](39/preview_4.png) \| ![preview 5](39/preview_5.png) \| ![preview 6](39/preview_6.png) \| ![preview 7](39/preview_7.png) \| ![preview 8](39/preview_8.png) \| \| 40 \| 140 \| [Download](40/dataset.zip) \| ![preview 1](40/preview_1.png) \| ![preview 2](40/preview_2.png) \| ![preview 3](40/preview_3.png) \| ![preview 4](40/preview_4.png) \| ![preview 5](40/preview_5.png) \| ![preview 6](40/preview_6.png) \| ![preview 7](40/preview_7.png) \| ![preview 8](40/preview_8.png) \| \| 41 \| 45 \| [Download](41/dataset.zip) \| ![preview 1](41/preview_1.png) \| ![preview 2](41/preview_2.png) \| ![preview 3](41/preview_3.png) \| ![preview 4](41/preview_4.png) \| ![preview 5](41/preview_5.png) \| ![preview 6](41/preview_6.png) \| ![preview 7](41/preview_7.png) \| ![preview 8](41/preview_8.png) \| \| 42 \| 14 \| [Download](42/dataset.zip) \| ![preview 1](42/preview_1.png) \| ![preview 2](42/preview_2.png) \| ![preview 3](42/preview_3.png) \| ![preview 4](42/preview_4.png) \| ![preview 5](42/preview_5.png) \| ![preview 6](42/preview_6.png) \| ![preview 7](42/preview_7.png) \| ![preview 8](42/preview_8.png) \| \| 43 \| 40 \| [Download](43/dataset.zip) \| ![preview 1](43/preview_1.png) \| ![preview 2](43/preview_2.png) \| ![preview 3](43/preview_3.png) \| ![preview 4](43/preview_4.png) \| ![preview 5](43/preview_5.png) \| ![preview 6](43/preview_6.png) \| ![preview 7](43/preview_7.png) \| ![preview 8](43/preview_8.png) \| \| 44 \| 81 \| [Download](44/dataset.zip) \| ![preview 1](44/preview_1.png) \| ![preview 2](44/preview_2.png) \| ![preview 3](44/preview_3.png) \| ![preview 4](44/preview_4.png) \| ![preview 5](44/preview_5.png) \| ![preview 6](44/preview_6.png) \| ![preview 7](44/preview_7.png) \| ![preview 8](44/preview_8.png) \| \| 45 \| 43 \| [Download](45/dataset.zip) \| ![preview 1](45/preview_1.png) \| ![preview 2](45/preview_2.png) \| ![preview 3](45/preview_3.png) \| ![preview 4](45/preview_4.png) \| ![preview 5](45/preview_5.png) \| ![preview 6](45/preview_6.png) \| ![preview 7](45/preview_7.png) \| ![preview 8](45/preview_8.png) \| \| 46 \| 19 \| [Download](46/dataset.zip) \| ![preview 1](46/preview_1.png) \| ![preview 2](46/preview_2.png) \| ![preview 3](46/preview_3.png) \| ![preview 4](46/preview_4.png) \| ![preview 5](46/preview_5.png) \| ![preview 6](46/preview_6.png) \| ![preview 7](46/preview_7.png) \| ![preview 8](46/preview_8.png) \| \| 47 \| 18 \| [Download](47/dataset.zip) \| ![preview 1](47/preview_1.png) \| ![preview 2](47/preview_2.png) \| ![preview 3](47/preview_3.png) \| ![preview 4](47/preview_4.png) \| ![preview 5](47/preview_5.png) \| ![preview 6](47/preview_6.png) \| ![preview 7](47/preview_7.png) \| ![preview 8](47/preview_8.png) \| \| 48 \| 19 \| [Download](48/dataset.zip) \| ![preview 1](48/preview_1.png) \| ![preview 2](48/preview_2.png) \| ![preview 3](48/preview_3.png) \| ![preview 4](48/preview_4.png) \| ![preview 5](48/preview_5.png) \| ![preview 6](48/preview_6.png) \| ![preview 7](48/preview_7.png) \| ![preview 8](48/preview_8.png) \| \| 49 \| 82 \| [Download](49/dataset.zip) \| ![preview 1](49/preview_1.png) \| ![preview 2](49/preview_2.png) \| ![preview 3](49/preview_3.png) \| ![preview 4](49/preview_4.png) \| ![preview 5](49/preview_5.png) \| ![preview 6](49/preview_6.png) \| ![preview 7](49/preview_7.png) \| ![preview 8](49/preview_8.png) \| \| 50 \| 22 \| [Download](50/dataset.zip) \| ![preview 1](50/preview_1.png) \| ![preview 2](50/preview_2.png) \| ![preview 3](50/preview_3.png) \| ![preview 4](50/preview_4.png) \| ![preview 5](50/preview_5.png) \| ![preview 6](50/preview_6.png) \| ![preview 7](50/preview_7.png) \| ![preview 8](50/preview_8.png) \| \| 51 \| 14 \| [Download](51/dataset.zip) \| ![preview 1](51/preview_1.png) \| ![preview 2](51/preview_2.png) \| ![preview 3](51/preview_3.png) \| ![preview 4](51/preview_4.png) \| ![preview 5](51/preview_5.png) \| ![preview 6](51/preview_6.png) \| ![preview 7](51/preview_7.png) \| ![preview 8](51/preview_8.png) \| \| 52 \| 6 \| [Download](52/dataset.zip) \| ![preview 1](52/preview_1.png) \| ![preview 2](52/preview_2.png) \| ![preview 3](52/preview_3.png) \| ![preview 4](52/preview_4.png) \| ![preview 5](52/preview_5.png) \| ![preview 6](52/preview_6.png) \| N/A \| N/A \| \| 53 \| 17 \| [Download](53/dataset.zip) \| ![preview 1](53/preview_1.png) \| ![preview 2](53/preview_2.png) \| ![preview 3](53/preview_3.png) \| ![preview 4](53/preview_4.png) \| ![preview 5](53/preview_5.png) \| ![preview 6](53/preview_6.png) \| ![preview 7](53/preview_7.png) \| ![preview 8](53/preview_8.png) \| \| 54 \| 14 \| [Download](54/dataset.zip) \| ![preview 1](54/preview_1.png) \| ![preview 2](54/preview_2.png) \| ![preview 3](54/preview_3.png) \| ![preview 4](54/preview_4.png) \| ![preview 5](54/preview_5.png) \| ![preview 6](54/preview_6.png) \| ![preview 7](54/preview_7.png) \| ![preview 8](54/preview_8.png) \| \| 55 \| 79 \| [Download](55/dataset.zip) \| ![preview 1](55/preview_1.png) \| ![preview 2](55/preview_2.png) \| ![preview 3](55/preview_3.png) \| ![preview 4](55/preview_4.png) \| ![preview 5](55/preview_5.png) \| ![preview 6](55/preview_6.png) \| ![preview 7](55/preview_7.png) \| ![preview 8](55/preview_8.png) \| \| 56 \| 133 \| [Download](56/dataset.zip) \| ![preview 1](56/preview_1.png) \| ![preview 2](56/preview_2.png) \| ![preview 3](56/preview_3.png) \| ![preview 4](56/preview_4.png) \| ![preview 5](56/preview_5.png) \| ![preview 6](56/preview_6.png) \| ![preview 7](56/preview_7.png) \| ![preview 8](56/preview_8.png) \| \| 57 \| 13 \| [Download](57/dataset.zip) \| ![preview 1](57/preview_1.png) \| ![preview 2](57/preview_2.png) \| ![preview 3](57/preview_3.png) \| ![preview 4](57/preview_4.png) \| ![preview 5](57/preview_5.png) \| ![preview 6](57/preview_6.png) \| ![preview 7](57/preview_7.png) \| ![preview 8](57/preview_8.png) \| \| 58 \| 13 \| [Download](58/dataset.zip) \| ![preview 1](58/preview_1.png) \| ![preview 2](58/preview_2.png) \| ![preview 3](58/preview_3.png) \| ![preview 4](58/preview_4.png) \| ![preview 5](58/preview_5.png) \| ![preview 6](58/preview_6.png) \| ![preview 7](58/preview_7.png) \| ![preview 8](58/preview_8.png) \| \| 59 \| 195 \| [Download](59/dataset.zip) \| ![preview 1](59/preview_1.png) \| ![preview 2](59/preview_2.png) \| ![preview 3](59/preview_3.png) \| ![preview 4](59/preview_4.png) \| ![preview 5](59/preview_5.png) \| ![preview 6](59/preview_6.png) \| ![preview 7](59/preview_7.png) \| ![preview 8](59/preview_8.png) \| \| 60 \| 97 \| [Download](60/dataset.zip) \| ![preview 1](60/preview_1.png) \| ![preview 2](60/preview_2.png) \| ![preview 3](60/preview_3.png) \| ![preview 4](60/preview_4.png) \| ![preview 5](60/preview_5.png) \| ![preview 6](60/preview_6.png) \| ![preview 7](60/preview_7.png) \| ![preview 8](60/preview_8.png) \| \| 61 \| 27 \| [Download](61/dataset.zip) \| ![preview 1](61/preview_1.png) \| ![preview 2](61/preview_2.png) \| ![preview 3](61/preview_3.png) \| ![preview 4](61/preview_4.png) \| ![preview 5](61/preview_5.png) \| ![preview 6](61/preview_6.png) \| ![preview 7](61/preview_7.png) \| ![preview 8](61/preview_8.png) \| \| 62 \| 13 \| [Download](62/dataset.zip) \| ![preview 1](62/preview_1.png) \| ![preview 2](62/preview_2.png) \| ![preview 3](62/preview_3.png) \| ![preview 4](62/preview_4.png) \| ![preview 5](62/preview_5.png) \| ![preview 6](62/preview_6.png) \| ![preview 7](62/preview_7.png) \| ![preview 8](62/preview_8.png) \| \| 63 \| 62 \| [Download](63/dataset.zip) \| ![preview 1](63/preview_1.png) \| ![preview 2](63/preview_2.png) \| ![preview 3](63/preview_3.png) \| ![preview 4](63/preview_4.png) \| ![preview 5](63/preview_5.png) \| ![preview 6](63/preview_6.png) \| ![preview 7](63/preview_7.png) \| ![preview 8](63/preview_8.png) \| \| 64 \| 8 \| [Download](64/dataset.zip) \| ![preview 1](64/preview_1.png) \| ![preview 2](64/preview_2.png) \| ![preview 3](64/preview_3.png) \| ![preview 4](64/preview_4.png) \| ![preview 5](64/preview_5.png) \| ![preview 6](64/preview_6.png) \| ![preview 7](64/preview_7.png) \| ![preview 8](64/preview_8.png) \| \| 65 \| 9 \| [Download](65/dataset.zip) \| ![preview 1](65/preview_1.png) \| ![preview 2](65/preview_2.png) \| ![preview 3](65/preview_3.png) \| ![preview 4](65/preview_4.png) \| ![preview 5](65/preview_5.png) \| ![preview 6](65/preview_6.png) \| ![preview 7](65/preview_7.png) \| ![preview 8](65/preview_8.png) \| \| 66 \| 8 \| [Download](66/dataset.zip) \| ![preview 1](66/preview_1.png) \| ![preview 2](66/preview_2.png) \| ![preview 3](66/preview_3.png) \| ![preview 4](66/preview_4.png) \| ![preview 5](66/preview_5.png) \| ![preview 6](66/preview_6.png) \| ![preview 7](66/preview_7.png) \| ![preview 8](66/preview_8.png) \| \| 67 \| 33 \| [Download](67/dataset.zip) \| ![preview 1](67/preview_1.png) \| ![preview 2](67/preview_2.png) \| ![preview 3](67/preview_3.png) \| ![preview 4](67/preview_4.png) \| ![preview 5](67/preview_5.png) \| ![preview 6](67/preview_6.png) \| ![preview 7](67/preview_7.png) \| ![preview 8](67/preview_8.png) \| \| 68 \| 6 \| [Download](68/dataset.zip) \| ![preview 1](68/preview_1.png) \| ![preview 2](68/preview_2.png) \| ![preview 3](68/preview_3.png) \| ![preview 4](68/preview_4.png) \| ![preview 5](68/preview_5.png) \| ![preview 6](68/preview_6.png) \| N/A \| N/A \| \| 69 \| 31 \| [Download](69/dataset.zip) \| ![preview 1](69/preview_1.png) \| ![preview 2](69/preview_2.png) \| ![preview 3](69/preview_3.png) \| ![preview 4](69/preview_4.png) \| ![preview 5](69/preview_5.png) \| ![preview 6](69/preview_6.png) \| ![preview 7](69/preview_7.png) \| ![preview 8](69/preview_8.png) \| \| 70 \| 9 \| [Download](70/dataset.zip) \| ![preview 1](70/preview_1.png) \| ![preview 2](70/preview_2.png) \| ![preview 3](70/preview_3.png) \| ![preview 4](70/preview_4.png) \| ![preview 5](70/preview_5.png) \| ![preview 6](70/preview_6.png) \| ![preview 7](70/preview_7.png) \| ![preview 8](70/preview_8.png) \| \| 71 \| 13 \| [Download](71/dataset.zip) \| ![preview 1](71/preview_1.png) \| ![preview 2](71/preview_2.png) \| ![preview 3](71/preview_3.png) \| ![preview 4](71/preview_4.png) \| ![preview 5](71/preview_5.png) \| ![preview 6](71/preview_6.png) \| ![preview 7](71/preview_7.png) \| ![preview 8](71/preview_8.png) \| \| 72 \| 7 \| [Download](72/dataset.zip) \| ![preview 1](72/preview_1.png) \| ![preview 2](72/preview_2.png) \| ![preview 3](72/preview_3.png) \| ![preview 4](72/preview_4.png) \| ![preview 5](72/preview_5.png) \| ![preview 6](72/preview_6.png) \| ![preview 7](72/preview_7.png) \| N/A \| \| 73 \| 22 \| [Download](73/dataset.zip) \| ![preview 1](73/preview_1.png) \| ![preview 2](73/preview_2.png) \| ![preview 3](73/preview_3.png) \| ![preview 4](73/preview_4.png) \| ![preview 5](73/preview_5.png) \| ![preview 6](73/preview_6.png) \| ![preview 7](73/preview_7.png) \| ![preview 8](73/preview_8.png) \| \| 74 \| 6 \| [Download](74/dataset.zip) \| ![preview 1](74/preview_1.png) \| ![preview 2](74/preview_2.png) \| ![preview 3](74/preview_3.png) \| ![preview 4](74/preview_4.png) \| ![preview 5](74/preview_5.png) \| ![preview 6](74/preview_6.png) \| N/A \| N/A \| \| 75 \| 61 \| [Download](75/dataset.zip) \| ![preview 1](75/preview_1.png) \| ![preview 2](75/preview_2.png) \| ![preview 3](75/preview_3.png) \| ![preview 4](75/preview_4.png) \| ![preview 5](75/preview_5.png) \| ![preview 6](75/preview_6.png) \| ![preview 7](75/preview_7.png) \| ![preview 8](75/preview_8.png) \| \| 76 \| 13 \| [Download](76/dataset.zip) \| ![preview 1](76/preview_1.png) \| ![preview 2](76/preview_2.png) \| ![preview 3](76/preview_3.png) \| ![preview 4](76/preview_4.png) \| ![preview 5](76/preview_5.png) \| ![preview 6](76/preview_6.png) \| ![preview 7](76/preview_7.png) \| ![preview 8](76/preview_8.png) \| \| 77 \| 24 \| [Download](77/dataset.zip) \| ![preview 1](77/preview_1.png) \| ![preview 2](77/preview_2.png) \| ![preview 3](77/preview_3.png) \| ![preview 4](77/preview_4.png) \| ![preview 5](77/preview_5.png) \| ![preview 6](77/preview_6.png) \| ![preview 7](77/preview_7.png) \| ![preview 8](77/preview_8.png) \| \| noise \| 532 \| [Download](-1/dataset.zip) \| ![preview 1](-1/preview_1.png) \| ![preview 2](-1/preview_2.png) \| ![preview 3](-1/preview_3.png) \| ![preview 4](-1/preview_4.png) \| ![preview 5](-1/preview_5.png) \| ![preview 6](-1/preview_6.png) \| ![preview 7](-1/preview_7.png) \| ![preview 8](-1/preview_8.png) \|
mask-distilled-one-sec-cv12/chunk_104	--- dataset_info: features: - name: logits sequence: float32 - name: mfcc sequence: sequence: float64 splits: - name: train num_bytes: 1467127408 num_examples: 288124 download_size: 1493058195 dataset_size: 1467127408 --- # Dataset Card for "chunk_104" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
keirp/open-web-math-dev	--- language: en dataset_info: features: - name: url dtype: string - name: text dtype: string - name: metadata dtype: string splits: - name: train num_bytes: 46793390925 num_examples: 2948527 download_size: 23882813026 dataset_size: 46793390925 --- # Dataset Card for "open-web-math-dev" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
GreenBoxProdutora/minhavoz	--- license: openrail ---
recastai/sql-create-context-chatml	--- license: cc-by-4.0 dataset_info: features: - name: messages list: - name: content dtype: string - name: role dtype: string splits: - name: train num_bytes: 78885727 num_examples: 78577 download_size: 7507566 dataset_size: 78885727 configs: - config_name: default data_files: - split: train path: data/train-* task_categories: - text2text-generation language: - en tags: - text-to-sql - chatml pretty_name: 'sql-create-context-chatml ' size_categories: - 10K<n<100K --- ## Dataset Summary This dataset has been created by Re:cast AI to extend the existing dataset [b-mc2/sql-create-context](https://website-name.com](https://huggingface.co/datasets/b-mc2/sql-create-context) into a [chatml](https://huggingface.co/docs/transformers/main/en/chat_templating) friendly format for use in SFT tasks with pretrained models. ## Dataset Structure ```python messages = [ {'content': "You are a powerful text-to-SQL AI assistant that helps users ... etc.", 'role': 'system'}, {'content': '(Optional) Context information is below ... etc.', 'role': 'user'}, {'content': 'SELECT COUNT(*) FROM head WHERE age > 56', 'role': 'assistant'} ] ``` ## Annotation Process Example of how the dataset was created, which you can alter to update the author's original dataset into a form suited to your needs. ```python INSTRUCTIONS = """You are a powerful text-to-SQL AI assistant that helps users interact with SQL databases. Your job is to answer questions about a database. You are given a user question or command and (optional) context regarding one or more tables. You must output the SQL query that answers the question. Some rules to follow: 1. Never directly reference the given context in your answer. 2. Avoid statements like 'Based on the context, ...' or 'The context information ...' or 'The answer to the user's query...' or anything along those lines. 3. You only respond with valid SQL to the user's query.""" def process_chatml_fn(example): user_content = ( "(Optional) Context information is below.\n" "----------------\n" f"{example['context']}\n" "----------------\n" "Given the context information and not prior knowledge, answer the following query.\n" f"{example['question']}\n" ) assistant_content = f"{example['answer']}" message = [ {"role": "system", "content": INSTRUCTIONS}, {"role": "user", "content": user_content}, {"role": "assistant", "content": assistant_content} ] return message ds = load_dataset("b-mc2/sql-create-context", split = "train") ds = ds.map(lambda x: {"messages": process_chatml_fn(x)}, remove_columns=ds.features) # Conform to chatml format ``` ## Usage ```python from datasets import load_dataset dataset = load_dataset("recastai/sql-create-context-chatml") ```
hyperdemocracy/usc-vecs-v1-s1024-o256-BAAI-bge-large-en-v1.5	--- configs: - config_name: default data_files: - path: data/usc-113-vecs-v1-s1024-o256-BAAI-bge-large-en-v1.5.parquet split: '113' - path: data/usc-114-vecs-v1-s1024-o256-BAAI-bge-large-en-v1.5.parquet split: '114' - path: data/usc-115-vecs-v1-s1024-o256-BAAI-bge-large-en-v1.5.parquet split: '115' - path: data/usc-116-vecs-v1-s1024-o256-BAAI-bge-large-en-v1.5.parquet split: '116' - path: data/usc-117-vecs-v1-s1024-o256-BAAI-bge-large-en-v1.5.parquet split: '117' - path: data/usc-118-vecs-v1-s1024-o256-BAAI-bge-large-en-v1.5.parquet split: '118' dataset_info: features: - dtype: string name: chunk_id - dtype: string name: text_id - dtype: string name: legis_id - dtype: string name: text - list: dtype: float32 name: vec - name: metadata struct: - dtype: string name: chunk_id - dtype: int32 name: chunk_index - dtype: string name: congress_num - dtype: string name: legis_class - dtype: string name: legis_id - dtype: int32 name: legis_num - dtype: string name: legis_type - dtype: string name: legis_version - dtype: int32 name: start_index - dtype: string name: text_date - dtype: string name: text_id ---
dmayhem93/self-critiquing-helpful-sft-test	--- dataset_info: features: - name: id dtype: string - name: source_id dtype: string - name: split dtype: string - name: time dtype: float64 - name: labeler dtype: string - name: is_topic_based_summarization dtype: bool - name: prompt dtype: string - name: response dtype: string splits: - name: train num_bytes: 8427723 num_examples: 1580 download_size: 0 dataset_size: 8427723 --- # Dataset Card for "self-critiquing-helpful-sft-test" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
kpriyanshu256/MultiTabQA-multitable_pretraining-train-v2-50000	--- dataset_info: features: - name: tables sequence: string - name: table_names sequence: string - name: query dtype: string - name: answer dtype: string - name: source dtype: string - name: target dtype: string - name: source_latex dtype: string - name: target_latex dtype: string - name: source_html dtype: string - name: target_html dtype: string - name: source_markdown dtype: string - name: target_markdown dtype: string splits: - name: train num_bytes: 13029970615 num_examples: 2500 download_size: 2670375692 dataset_size: 13029970615 configs: - config_name: default data_files: - split: train path: data/train-* ---
apapa/mogumogu_dataset	--- dataset_info: features: - name: audio dtype: audio - name: text (string) dtype: string - name: phonetic_detail (json) dtype: string - name: word_detail (json) dtype: string - name: dialect_region (string) dtype: string - name: sentence_type (string) dtype: string - name: speaker_id (string) dtype: string - name: id (string) dtype: string - name: 'Unnamed: 8' dtype: string splits: - name: train num_bytes: 419112689.8 num_examples: 4270 - name: test num_bytes: 168967037.04 num_examples: 1680 download_size: 531996662 dataset_size: 588079726.84 --- # Dataset Card for "mogumogu_dataset" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
KhalfounMehdi/MuraTransformed	--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: image dtype: image - name: label dtype: int64 - name: pixel_values sequence: sequence: sequence: float32 splits: - name: train num_bytes: 27563908768.375 num_examples: 40005 download_size: 6481648040 dataset_size: 27563908768.375 --- # Dataset Card for "MuraTransformed" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
SummerJingyun/LLM-dataset-test2	--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 5501405 num_examples: 3500 download_size: 3257474 dataset_size: 5501405 configs: - config_name: default data_files: - split: train path: data/train-* ---

mirfan899/uner-ner

--- 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: tokens sequence: string - name: ner_tags sequence: class_label: names: '0': DATE '1': DESIGNATION '2': LOCATION '3': NUMBER '4': O '5': ORGANIZATION '6': PERSON '7': TIME splits: - name: train num_bytes: 682695 num_examples: 1145 - name: validation num_bytes: 302036 num_examples: 491 - name: test num_bytes: 302036 num_examples: 491 download_size: 0 dataset_size: 1286767 --- # Dataset Card for "uner-ner" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

distilled-from-one-sec-cv12/chunk_29

--- dataset_info: features: - name: logits sequence: float32 - name: mfcc sequence: sequence: float64 splits: - name: train num_bytes: 872830032 num_examples: 170076 download_size: 892997828 dataset_size: 872830032 --- # Dataset Card for "chunk_29" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

AdapterOcean/python-code-instructions-18k-alpaca-standardized_cluster_3_std

--- dataset_info: features: - name: message dtype: string - name: message_type dtype: string - name: message_id dtype: int64 - name: conversation_id dtype: int64 - name: cluster dtype: float64 - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 4218713 num_examples: 7053 download_size: 1835077 dataset_size: 4218713 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "python-code-instructions-18k-alpaca-standardized_cluster_3_std" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

CyberHarem/degenbrecher_arknights

--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of degenbrecher/锏 (Arknights) This is the dataset of degenbrecher/锏 (Arknights), containing 141 images and their tags. The core tags of this character are `long_hair, animal_ears, blonde_hair, horns, goat_horns, goat_ears, hair_between_eyes, goat_girl, breasts, yellow_eyes, very_long_hair, large_breasts, long_bangs, animal_ear_fluff, brown_horns, sidelocks, asymmetrical_sidelocks`, 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 | 141 | 264.74 MiB | [Download](https://huggingface.co/datasets/CyberHarem/degenbrecher_arknights/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | | 1200 | 141 | 222.57 MiB | [Download](https://huggingface.co/datasets/CyberHarem/degenbrecher_arknights/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. | | stage3-p480-1200 | 356 | 422.36 MiB | [Download](https://huggingface.co/datasets/CyberHarem/degenbrecher_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/degenbrecher_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 | 12 | ![](samples/0/clu0-sample0.png) | ![](samples/0/clu0-sample1.png) | ![](samples/0/clu0-sample2.png) | ![](samples/0/clu0-sample3.png) | ![](samples/0/clu0-sample4.png) | 1girl, black_gloves, black_necktie, collared_shirt, dress_shirt, holding_sword, long_sleeves, military_jacket, military_uniform, orange_shirt, buttons, looking_at_viewer, notched_lapels, solo, standing, wing_collar, cowboy_shot, armband, closed_mouth, medal, green_jacket, sheath, green_pants, simple_background, single_pauldron, black_jacket, crossed_bangs, floating_hair, medium_breasts, thigh_strap, white_background, hair_flowing_over, v-shaped_eyebrows, white_pupils | | 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, armband, black_gloves, black_necktie, collared_shirt, dress_shirt, green_jacket, long_sleeves, medal, military_jacket, military_uniform, notched_lapels, orange_shirt, single_epaulette, single_pauldron, solo, upper_body, wing_collar, closed_mouth, hand_up, looking_at_viewer, simple_background, breast_pocket, buttons, crossed_bangs, looking_to_the_side, medium_breasts, adjusting_clothes, ahoge, black_background, brown_eyes, hair_flowing_over, hand_on_own_chest, white_background, white_pupils | | 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, black_necktie, collared_shirt, dress_shirt, long_sleeves, looking_at_viewer, military_jacket, military_uniform, notched_lapels, simple_background, single_pauldron, solo, upper_body, closed_mouth, green_jacket, medal, orange_shirt, armband, white_background, white_pupils, wing_collar, ahoge, buttons, crossed_bangs, parted_lips, pocket | ### Table Version | # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | black_gloves | black_necktie | collared_shirt | dress_shirt | holding_sword | long_sleeves | military_jacket | military_uniform | orange_shirt | buttons | looking_at_viewer | notched_lapels | solo | standing | wing_collar | cowboy_shot | armband | closed_mouth | medal | green_jacket | sheath | green_pants | simple_background | single_pauldron | black_jacket | crossed_bangs | floating_hair | medium_breasts | thigh_strap | white_background | hair_flowing_over | v-shaped_eyebrows | white_pupils | single_epaulette | upper_body | hand_up | breast_pocket | looking_to_the_side | adjusting_clothes | ahoge | black_background | brown_eyes | hand_on_own_chest | parted_lips | pocket | |----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:---------------|:----------------|:-----------------|:--------------|:----------------|:---------------|:------------------|:-------------------|:---------------|:----------|:--------------------|:-----------------|:-------|:-----------|:--------------|:--------------|:----------|:---------------|:--------|:---------------|:---------|:--------------|:--------------------|:------------------|:---------------|:----------------|:----------------|:-----------------|:--------------|:-------------------|:--------------------|:--------------------|:---------------|:-------------------|:-------------|:----------|:----------------|:----------------------|:--------------------|:--------|:-------------------|:-------------|:--------------------|:--------------|:---------| | 0 | 12 | ![](samples/0/clu0-sample0.png) | ![](samples/0/clu0-sample1.png) | ![](samples/0/clu0-sample2.png) | ![](samples/0/clu0-sample3.png) | ![](samples/0/clu0-sample4.png) | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | X | 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 | 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 |

Ediudo/tildo

--- license: openrail ---

p1atdev/dart-tokenized-pretrain-20240219

--- dataset_info: features: - name: tag_text dtype: string - name: input_ids sequence: int32 - name: token_type_ids sequence: int8 - name: attention_mask sequence: int8 splits: - name: train num_bytes: 4086741056 num_examples: 5293004 download_size: 1355055068 dataset_size: 4086741056 configs: - config_name: default data_files: - split: train path: data/train-* ---

drag88/snitch_image_binary_with_proddesc

--- dataset_info: features: - name: Price dtype: float64 - name: Product Description dtype: string - name: Product ID dtype: float64 - name: Product Name dtype: string - name: Store dtype: string - name: Tags dtype: string - name: Vendor dtype: string - name: Size sequence: string - name: Product Image Link dtype: string - name: image_bytes dtype: binary - name: enhanced_description dtype: string splits: - name: train num_bytes: 1524446448 num_examples: 8832 download_size: 1335673004 dataset_size: 1524446448 configs: - config_name: default data_files: - split: train path: data/train-* ---

Qdrant/ColBERT-TREC-COVID

--- dataset_info: features: - name: documents sequence: sequence: float16 splits: - name: train num_bytes: 8019022928 num_examples: 171332 download_size: 5775769873 dataset_size: 8019022928 configs: - config_name: default data_files: - split: train path: data/train-* license: mit task_categories: - feature-extraction language: - en tags: - medical pretty_name: ColBERT TREC COVID size_categories: - 100K<n<1M --- This dataset consists ColBERTv2.0 document vectors for the entire TREC-COVID dataset from BeIR. That 128 dimension per token, with 180 tokens for each of 171332 documents. The dataset was created using A100-40GB sponsored by Qdrant. The code to create these vectors is here: https://colab.research.google.com/drive/1hEhyleSrBz_mPyQJnRc0MwBenDuX1ahY?usp=sharing This dataset was created for indexing experiments by Qdrant.

deepapaikar/KatzBot_QnA_Test

--- license: apache-2.0 ---

Jacksparrowvk/my

--- license: mit ---

Nexdata/Indonesian_Conversational_Speech_Data_by_Telephone

--- task_categories: - automatic-speech-recognition language: - id --- # Dataset Card for Nexdata/Indonesian_Conversational_Speech_Data_by_Telephone ## Description The 89 Hours - Indonesian conversational speech data collected by Telephone involved 124 native speakers, developed with proper balance of gender ratio, Speakers would choose a few familiar topics out of the given list and start conversations to ensure dialogues' fluency and naturalness. The recording devices are various mobile phones. The audio format is 8kHz, 8bit, u-law pcm, and all the speech data was recorded in quiet indoor environments. All the speech audio was manually transcribed with text content, the start and end time of each effective sentence, and speaker identification. For more details, please refer to the link: https://www.nexdata.ai/datasets/1311?source=Huggingface # Specifications ## Format 8kHz 8bit, u-law pcm, mono channel; ## Environment quiet indoor environment, without echo; ## Recording content dozens of topics are specified, and the speakers make dialogue under those topics while the recording is performed; ## Demographics 140 speakers totally, with 54% male and 46% female ## Annotation annotating for the transcription text, speaker identification and gender ## Device Android mobile phone, iPhone; ## Language Indonesian; ## Application scenarios speech recognition; voiceprint recognition; ## Accuracy rate the word accuracy rate is not less than 98% # Licensing Information Commercial License

open-llm-leaderboard/details_ParasiticRogue__Merged-RP-Stew-V2-34B

--- pretty_name: Evaluation run of ParasiticRogue/Merged-RP-Stew-V2-34B dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [ParasiticRogue/Merged-RP-Stew-V2-34B](https://huggingface.co/ParasiticRogue/Merged-RP-Stew-V2-34B)\ \ 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_ParasiticRogue__Merged-RP-Stew-V2-34B\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-04-15T23:07:10.295080](https://huggingface.co/datasets/open-llm-leaderboard/details_ParasiticRogue__Merged-RP-Stew-V2-34B/blob/main/results_2024-04-15T23-07-10.295080.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\": 0.7711704868828757,\n\ \ \"acc_stderr\": 0.0276721684770019,\n \"acc_norm\": 0.7758442981381146,\n\ \ \"acc_norm_stderr\": 0.028183094757783765,\n \"mc1\": 0.4283965728274174,\n\ \ \"mc1_stderr\": 0.017323088597314754,\n \"mc2\": 0.5792788550440546,\n\ \ \"mc2_stderr\": 0.015335521477635526\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.6390784982935154,\n \"acc_stderr\": 0.014034761386175452,\n\ \ \"acc_norm\": 0.6706484641638225,\n \"acc_norm_stderr\": 0.013734057652635476\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6704839673371839,\n\ \ \"acc_stderr\": 0.004690768393854473,\n \"acc_norm\": 0.8605855407289384,\n\ \ \"acc_norm_stderr\": 0.0034567060380547555\n },\n \"harness|hendrycksTest-abstract_algebra|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-anatomy|5\": {\n \"acc\": 0.725925925925926,\n\ \ \"acc_stderr\": 0.03853254836552003,\n \"acc_norm\": 0.725925925925926,\n\ \ \"acc_norm_stderr\": 0.03853254836552003\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.9078947368421053,\n \"acc_stderr\": 0.02353268597044349,\n\ \ \"acc_norm\": 0.9078947368421053,\n \"acc_norm_stderr\": 0.02353268597044349\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.8,\n\ \ \"acc_stderr\": 0.040201512610368445,\n \"acc_norm\": 0.8,\n \ \ \"acc_norm_stderr\": 0.040201512610368445\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.8113207547169812,\n \"acc_stderr\": 0.024079995130062253,\n\ \ \"acc_norm\": 0.8113207547169812,\n \"acc_norm_stderr\": 0.024079995130062253\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.9166666666666666,\n\ \ \"acc_stderr\": 0.023112508176051236,\n \"acc_norm\": 0.9166666666666666,\n\ \ \"acc_norm_stderr\": 0.023112508176051236\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.51,\n \"acc_stderr\": 0.05024183937956912,\n \ \ \"acc_norm\": 0.51,\n \"acc_norm_stderr\": 0.05024183937956912\n \ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\ : 0.62,\n \"acc_stderr\": 0.04878317312145633,\n \"acc_norm\": 0.62,\n\ \ \"acc_norm_stderr\": 0.04878317312145633\n },\n \"harness|hendrycksTest-college_mathematics|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-college_medicine|5\": {\n \"acc\": 0.7398843930635838,\n\ \ \"acc_stderr\": 0.03345036916788992,\n \"acc_norm\": 0.7398843930635838,\n\ \ \"acc_norm_stderr\": 0.03345036916788992\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.5490196078431373,\n \"acc_stderr\": 0.04951218252396262,\n\ \ \"acc_norm\": 0.5490196078431373,\n \"acc_norm_stderr\": 0.04951218252396262\n\ \ },\n \"harness|hendrycksTest-computer_security|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-conceptual_physics|5\"\ : {\n \"acc\": 0.825531914893617,\n \"acc_stderr\": 0.024809442335503976,\n\ \ \"acc_norm\": 0.825531914893617,\n \"acc_norm_stderr\": 0.024809442335503976\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.631578947368421,\n\ \ \"acc_stderr\": 0.04537815354939391,\n \"acc_norm\": 0.631578947368421,\n\ \ \"acc_norm_stderr\": 0.04537815354939391\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.8,\n \"acc_stderr\": 0.033333333333333284,\n \ \ \"acc_norm\": 0.8,\n \"acc_norm_stderr\": 0.033333333333333284\n \ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.7248677248677249,\n \"acc_stderr\": 0.02300008685906865,\n \"\ acc_norm\": 0.7248677248677249,\n \"acc_norm_stderr\": 0.02300008685906865\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.5476190476190477,\n\ \ \"acc_stderr\": 0.044518079590553275,\n \"acc_norm\": 0.5476190476190477,\n\ \ \"acc_norm_stderr\": 0.044518079590553275\n },\n \"harness|hendrycksTest-global_facts|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-high_school_biology|5\": {\n \"acc\": 0.9193548387096774,\n\ \ \"acc_stderr\": 0.015490002961591028,\n \"acc_norm\": 0.9193548387096774,\n\ \ \"acc_norm_stderr\": 0.015490002961591028\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\ : {\n \"acc\": 0.6699507389162561,\n \"acc_stderr\": 0.03308530426228258,\n\ \ \"acc_norm\": 0.6699507389162561,\n \"acc_norm_stderr\": 0.03308530426228258\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.82,\n \"acc_stderr\": 0.038612291966536955,\n \"acc_norm\"\ : 0.82,\n \"acc_norm_stderr\": 0.038612291966536955\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.8787878787878788,\n \"acc_stderr\": 0.025485498373343237,\n\ \ \"acc_norm\": 0.8787878787878788,\n \"acc_norm_stderr\": 0.025485498373343237\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.9242424242424242,\n \"acc_stderr\": 0.018852670234993086,\n \"\ acc_norm\": 0.9242424242424242,\n \"acc_norm_stderr\": 0.018852670234993086\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.9792746113989638,\n \"acc_stderr\": 0.010281417011909039,\n\ \ \"acc_norm\": 0.9792746113989638,\n \"acc_norm_stderr\": 0.010281417011909039\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.8307692307692308,\n \"acc_stderr\": 0.01901100452365105,\n \ \ \"acc_norm\": 0.8307692307692308,\n \"acc_norm_stderr\": 0.01901100452365105\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.42592592592592593,\n \"acc_stderr\": 0.03014913560136595,\n \ \ \"acc_norm\": 0.42592592592592593,\n \"acc_norm_stderr\": 0.03014913560136595\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.8571428571428571,\n \"acc_stderr\": 0.02273020811930654,\n \ \ \"acc_norm\": 0.8571428571428571,\n \"acc_norm_stderr\": 0.02273020811930654\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.4966887417218543,\n \"acc_stderr\": 0.04082393379449654,\n \"\ acc_norm\": 0.4966887417218543,\n \"acc_norm_stderr\": 0.04082393379449654\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.9211009174311927,\n \"acc_stderr\": 0.011558198113769572,\n \"\ acc_norm\": 0.9211009174311927,\n \"acc_norm_stderr\": 0.011558198113769572\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.6666666666666666,\n \"acc_stderr\": 0.03214952147802749,\n \"\ acc_norm\": 0.6666666666666666,\n \"acc_norm_stderr\": 0.03214952147802749\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.9215686274509803,\n \"acc_stderr\": 0.018869514646658928,\n \"\ acc_norm\": 0.9215686274509803,\n \"acc_norm_stderr\": 0.018869514646658928\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.8987341772151899,\n \"acc_stderr\": 0.019637720526065508,\n \ \ \"acc_norm\": 0.8987341772151899,\n \"acc_norm_stderr\": 0.019637720526065508\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.8026905829596412,\n\ \ \"acc_stderr\": 0.02670985334496796,\n \"acc_norm\": 0.8026905829596412,\n\ \ \"acc_norm_stderr\": 0.02670985334496796\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.8931297709923665,\n \"acc_stderr\": 0.027096548624883733,\n\ \ \"acc_norm\": 0.8931297709923665,\n \"acc_norm_stderr\": 0.027096548624883733\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.9090909090909091,\n \"acc_stderr\": 0.02624319405407388,\n \"\ acc_norm\": 0.9090909090909091,\n \"acc_norm_stderr\": 0.02624319405407388\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.8981481481481481,\n\ \ \"acc_stderr\": 0.029239272675632748,\n \"acc_norm\": 0.8981481481481481,\n\ \ \"acc_norm_stderr\": 0.029239272675632748\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.8650306748466258,\n \"acc_stderr\": 0.02684576505455385,\n\ \ \"acc_norm\": 0.8650306748466258,\n \"acc_norm_stderr\": 0.02684576505455385\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.6607142857142857,\n\ \ \"acc_stderr\": 0.044939490686135404,\n \"acc_norm\": 0.6607142857142857,\n\ \ \"acc_norm_stderr\": 0.044939490686135404\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.8737864077669902,\n \"acc_stderr\": 0.03288180278808628,\n\ \ \"acc_norm\": 0.8737864077669902,\n \"acc_norm_stderr\": 0.03288180278808628\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.9316239316239316,\n\ \ \"acc_stderr\": 0.016534627684311357,\n \"acc_norm\": 0.9316239316239316,\n\ \ \"acc_norm_stderr\": 0.016534627684311357\n },\n \"harness|hendrycksTest-medical_genetics|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-miscellaneous|5\": {\n \"acc\": 0.9080459770114943,\n\ \ \"acc_stderr\": 0.010333225570778516,\n \"acc_norm\": 0.9080459770114943,\n\ \ \"acc_norm_stderr\": 0.010333225570778516\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.8236994219653179,\n \"acc_stderr\": 0.020516425672490717,\n\ \ \"acc_norm\": 0.8236994219653179,\n \"acc_norm_stderr\": 0.020516425672490717\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.7776536312849162,\n\ \ \"acc_stderr\": 0.013907189208156881,\n \"acc_norm\": 0.7776536312849162,\n\ \ \"acc_norm_stderr\": 0.013907189208156881\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.8496732026143791,\n \"acc_stderr\": 0.020464175124332618,\n\ \ \"acc_norm\": 0.8496732026143791,\n \"acc_norm_stderr\": 0.020464175124332618\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.8263665594855305,\n\ \ \"acc_stderr\": 0.021514051585970397,\n \"acc_norm\": 0.8263665594855305,\n\ \ \"acc_norm_stderr\": 0.021514051585970397\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.8765432098765432,\n \"acc_stderr\": 0.01830386880689179,\n\ \ \"acc_norm\": 0.8765432098765432,\n \"acc_norm_stderr\": 0.01830386880689179\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.6666666666666666,\n \"acc_stderr\": 0.02812163604063989,\n \ \ \"acc_norm\": 0.6666666666666666,\n \"acc_norm_stderr\": 0.02812163604063989\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.6088657105606258,\n\ \ \"acc_stderr\": 0.012463861839982058,\n \"acc_norm\": 0.6088657105606258,\n\ \ \"acc_norm_stderr\": 0.012463861839982058\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.8382352941176471,\n \"acc_stderr\": 0.022368672562886747,\n\ \ \"acc_norm\": 0.8382352941176471,\n \"acc_norm_stderr\": 0.022368672562886747\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.8284313725490197,\n \"acc_stderr\": 0.01525199316349162,\n \ \ \"acc_norm\": 0.8284313725490197,\n \"acc_norm_stderr\": 0.01525199316349162\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.7454545454545455,\n\ \ \"acc_stderr\": 0.041723430387053825,\n \"acc_norm\": 0.7454545454545455,\n\ \ \"acc_norm_stderr\": 0.041723430387053825\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.8653061224489796,\n \"acc_stderr\": 0.021855658840811615,\n\ \ \"acc_norm\": 0.8653061224489796,\n \"acc_norm_stderr\": 0.021855658840811615\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.9104477611940298,\n\ \ \"acc_stderr\": 0.020190670535027915,\n \"acc_norm\": 0.9104477611940298,\n\ \ \"acc_norm_stderr\": 0.020190670535027915\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.93,\n \"acc_stderr\": 0.0256432399976243,\n \ \ \"acc_norm\": 0.93,\n \"acc_norm_stderr\": 0.0256432399976243\n },\n\ \ \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5662650602409639,\n\ \ \"acc_stderr\": 0.03858158940685516,\n \"acc_norm\": 0.5662650602409639,\n\ \ \"acc_norm_stderr\": 0.03858158940685516\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.8771929824561403,\n \"acc_stderr\": 0.02517298435015577,\n\ \ \"acc_norm\": 0.8771929824561403,\n \"acc_norm_stderr\": 0.02517298435015577\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.4283965728274174,\n\ \ \"mc1_stderr\": 0.017323088597314754,\n \"mc2\": 0.5792788550440546,\n\ \ \"mc2_stderr\": 0.015335521477635526\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.8271507498026835,\n \"acc_stderr\": 0.010626964529971859\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.6611068991660348,\n \ \ \"acc_stderr\": 0.01303795576856251\n }\n}\n```" repo_url: https://huggingface.co/ParasiticRogue/Merged-RP-Stew-V2-34B 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_04_15T23_07_10.295080 path: - '**/details_harness|arc:challenge|25_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2024-04-15T23-07-10.295080.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '**/details_harness|gsm8k|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_04_15T23_07_10.295080 path: - '**/details_harness|hellaswag|10_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-management|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-management|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-04-15T23-07-10.295080.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '**/details_harness|hendrycksTest-anatomy|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '**/details_harness|hendrycksTest-astronomy|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '**/details_harness|hendrycksTest-college_biology|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '**/details_harness|hendrycksTest-college_physics|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '**/details_harness|hendrycksTest-computer_security|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '**/details_harness|hendrycksTest-econometrics|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '**/details_harness|hendrycksTest-global_facts|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '**/details_harness|hendrycksTest-human_aging|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '**/details_harness|hendrycksTest-international_law|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '**/details_harness|hendrycksTest-management|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '**/details_harness|hendrycksTest-marketing|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '**/details_harness|hendrycksTest-nutrition|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '**/details_harness|hendrycksTest-philosophy|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '**/details_harness|hendrycksTest-prehistory|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '**/details_harness|hendrycksTest-professional_law|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '**/details_harness|hendrycksTest-public_relations|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '**/details_harness|hendrycksTest-security_studies|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '**/details_harness|hendrycksTest-sociology|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '**/details_harness|hendrycksTest-virology|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '**/details_harness|hendrycksTest-world_religions|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2024-04-15T23-07-10.295080.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_04_15T23_07_10.295080 path: - '**/details_harness|truthfulqa:mc|0_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2024-04-15T23-07-10.295080.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_04_15T23_07_10.295080 path: - '**/details_harness|winogrande|5_2024-04-15T23-07-10.295080.parquet' - split: latest path: - '**/details_harness|winogrande|5_2024-04-15T23-07-10.295080.parquet' - config_name: results data_files: - split: 2024_04_15T23_07_10.295080 path: - results_2024-04-15T23-07-10.295080.parquet - split: latest path: - results_2024-04-15T23-07-10.295080.parquet --- # Dataset Card for Evaluation run of ParasiticRogue/Merged-RP-Stew-V2-34B  Dataset automatically created during the evaluation run of model [ParasiticRogue/Merged-RP-Stew-V2-34B](https://huggingface.co/ParasiticRogue/Merged-RP-Stew-V2-34B) 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_ParasiticRogue__Merged-RP-Stew-V2-34B", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-04-15T23:07:10.295080](https://huggingface.co/datasets/open-llm-leaderboard/details_ParasiticRogue__Merged-RP-Stew-V2-34B/blob/main/results_2024-04-15T23-07-10.295080.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": 0.7711704868828757, "acc_stderr": 0.0276721684770019, "acc_norm": 0.7758442981381146, "acc_norm_stderr": 0.028183094757783765, "mc1": 0.4283965728274174, "mc1_stderr": 0.017323088597314754, "mc2": 0.5792788550440546, "mc2_stderr": 0.015335521477635526 }, "harness|arc:challenge|25": { "acc": 0.6390784982935154, "acc_stderr": 0.014034761386175452, "acc_norm": 0.6706484641638225, "acc_norm_stderr": 0.013734057652635476 }, "harness|hellaswag|10": { "acc": 0.6704839673371839, "acc_stderr": 0.004690768393854473, "acc_norm": 0.8605855407289384, "acc_norm_stderr": 0.0034567060380547555 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.48, "acc_stderr": 0.050211673156867795, "acc_norm": 0.48, "acc_norm_stderr": 0.050211673156867795 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.725925925925926, "acc_stderr": 0.03853254836552003, "acc_norm": 0.725925925925926, "acc_norm_stderr": 0.03853254836552003 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.9078947368421053, "acc_stderr": 0.02353268597044349, "acc_norm": 0.9078947368421053, "acc_norm_stderr": 0.02353268597044349 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.8, "acc_stderr": 0.040201512610368445, "acc_norm": 0.8, "acc_norm_stderr": 0.040201512610368445 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.8113207547169812, "acc_stderr": 0.024079995130062253, "acc_norm": 0.8113207547169812, "acc_norm_stderr": 0.024079995130062253 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.9166666666666666, "acc_stderr": 0.023112508176051236, "acc_norm": 0.9166666666666666, "acc_norm_stderr": 0.023112508176051236 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.51, "acc_stderr": 0.05024183937956912, "acc_norm": 0.51, "acc_norm_stderr": 0.05024183937956912 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.62, "acc_stderr": 0.04878317312145633, "acc_norm": 0.62, "acc_norm_stderr": 0.04878317312145633 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.41, "acc_stderr": 0.049431107042371025, "acc_norm": 0.41, "acc_norm_stderr": 0.049431107042371025 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.7398843930635838, "acc_stderr": 0.03345036916788992, "acc_norm": 0.7398843930635838, "acc_norm_stderr": 0.03345036916788992 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.5490196078431373, "acc_stderr": 0.04951218252396262, "acc_norm": 0.5490196078431373, "acc_norm_stderr": 0.04951218252396262 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.83, "acc_stderr": 0.03775251680686371, "acc_norm": 0.83, "acc_norm_stderr": 0.03775251680686371 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.825531914893617, "acc_stderr": 0.024809442335503976, "acc_norm": 0.825531914893617, "acc_norm_stderr": 0.024809442335503976 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.631578947368421, "acc_stderr": 0.04537815354939391, "acc_norm": 0.631578947368421, "acc_norm_stderr": 0.04537815354939391 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.8, "acc_stderr": 0.033333333333333284, "acc_norm": 0.8, "acc_norm_stderr": 0.033333333333333284 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.7248677248677249, "acc_stderr": 0.02300008685906865, "acc_norm": 0.7248677248677249, "acc_norm_stderr": 0.02300008685906865 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.5476190476190477, "acc_stderr": 0.044518079590553275, "acc_norm": 0.5476190476190477, "acc_norm_stderr": 0.044518079590553275 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.59, "acc_stderr": 0.04943110704237102, "acc_norm": 0.59, "acc_norm_stderr": 0.04943110704237102 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.9193548387096774, "acc_stderr": 0.015490002961591028, "acc_norm": 0.9193548387096774, "acc_norm_stderr": 0.015490002961591028 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.6699507389162561, "acc_stderr": 0.03308530426228258, "acc_norm": 0.6699507389162561, "acc_norm_stderr": 0.03308530426228258 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.82, "acc_stderr": 0.038612291966536955, "acc_norm": 0.82, "acc_norm_stderr": 0.038612291966536955 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.8787878787878788, "acc_stderr": 0.025485498373343237, "acc_norm": 0.8787878787878788, "acc_norm_stderr": 0.025485498373343237 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.9242424242424242, "acc_stderr": 0.018852670234993086, "acc_norm": 0.9242424242424242, "acc_norm_stderr": 0.018852670234993086 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.9792746113989638, "acc_stderr": 0.010281417011909039, "acc_norm": 0.9792746113989638, "acc_norm_stderr": 0.010281417011909039 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.8307692307692308, "acc_stderr": 0.01901100452365105, "acc_norm": 0.8307692307692308, "acc_norm_stderr": 0.01901100452365105 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.42592592592592593, "acc_stderr": 0.03014913560136595, "acc_norm": 0.42592592592592593, "acc_norm_stderr": 0.03014913560136595 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.8571428571428571, "acc_stderr": 0.02273020811930654, "acc_norm": 0.8571428571428571, "acc_norm_stderr": 0.02273020811930654 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.4966887417218543, "acc_stderr": 0.04082393379449654, "acc_norm": 0.4966887417218543, "acc_norm_stderr": 0.04082393379449654 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.9211009174311927, "acc_stderr": 0.011558198113769572, "acc_norm": 0.9211009174311927, "acc_norm_stderr": 0.011558198113769572 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.6666666666666666, "acc_stderr": 0.03214952147802749, "acc_norm": 0.6666666666666666, "acc_norm_stderr": 0.03214952147802749 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.9215686274509803, "acc_stderr": 0.018869514646658928, "acc_norm": 0.9215686274509803, "acc_norm_stderr": 0.018869514646658928 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.8987341772151899, "acc_stderr": 0.019637720526065508, "acc_norm": 0.8987341772151899, "acc_norm_stderr": 0.019637720526065508 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.8026905829596412, "acc_stderr": 0.02670985334496796, "acc_norm": 0.8026905829596412, "acc_norm_stderr": 0.02670985334496796 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.8931297709923665, "acc_stderr": 0.027096548624883733, "acc_norm": 0.8931297709923665, "acc_norm_stderr": 0.027096548624883733 }, "harness|hendrycksTest-international_law|5": { "acc": 0.9090909090909091, "acc_stderr": 0.02624319405407388, "acc_norm": 0.9090909090909091, "acc_norm_stderr": 0.02624319405407388 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.8981481481481481, "acc_stderr": 0.029239272675632748, "acc_norm": 0.8981481481481481, "acc_norm_stderr": 0.029239272675632748 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.8650306748466258, "acc_stderr": 0.02684576505455385, "acc_norm": 0.8650306748466258, "acc_norm_stderr": 0.02684576505455385 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.6607142857142857, "acc_stderr": 0.044939490686135404, "acc_norm": 0.6607142857142857, "acc_norm_stderr": 0.044939490686135404 }, "harness|hendrycksTest-management|5": { "acc": 0.8737864077669902, "acc_stderr": 0.03288180278808628, "acc_norm": 0.8737864077669902, "acc_norm_stderr": 0.03288180278808628 }, "harness|hendrycksTest-marketing|5": { "acc": 0.9316239316239316, "acc_stderr": 0.016534627684311357, "acc_norm": 0.9316239316239316, "acc_norm_stderr": 0.016534627684311357 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.88, "acc_stderr": 0.03265986323710906, "acc_norm": 0.88, "acc_norm_stderr": 0.03265986323710906 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.9080459770114943, "acc_stderr": 0.010333225570778516, "acc_norm": 0.9080459770114943, "acc_norm_stderr": 0.010333225570778516 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.8236994219653179, "acc_stderr": 0.020516425672490717, "acc_norm": 0.8236994219653179, "acc_norm_stderr": 0.020516425672490717 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.7776536312849162, "acc_stderr": 0.013907189208156881, "acc_norm": 0.7776536312849162, "acc_norm_stderr": 0.013907189208156881 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.8496732026143791, "acc_stderr": 0.020464175124332618, "acc_norm": 0.8496732026143791, "acc_norm_stderr": 0.020464175124332618 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.8263665594855305, "acc_stderr": 0.021514051585970397, "acc_norm": 0.8263665594855305, "acc_norm_stderr": 0.021514051585970397 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.8765432098765432, "acc_stderr": 0.01830386880689179, "acc_norm": 0.8765432098765432, "acc_norm_stderr": 0.01830386880689179 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.6666666666666666, "acc_stderr": 0.02812163604063989, "acc_norm": 0.6666666666666666, "acc_norm_stderr": 0.02812163604063989 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.6088657105606258, "acc_stderr": 0.012463861839982058, "acc_norm": 0.6088657105606258, "acc_norm_stderr": 0.012463861839982058 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.8382352941176471, "acc_stderr": 0.022368672562886747, "acc_norm": 0.8382352941176471, "acc_norm_stderr": 0.022368672562886747 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.8284313725490197, "acc_stderr": 0.01525199316349162, "acc_norm": 0.8284313725490197, "acc_norm_stderr": 0.01525199316349162 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.7454545454545455, "acc_stderr": 0.041723430387053825, "acc_norm": 0.7454545454545455, "acc_norm_stderr": 0.041723430387053825 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.8653061224489796, "acc_stderr": 0.021855658840811615, "acc_norm": 0.8653061224489796, "acc_norm_stderr": 0.021855658840811615 }, "harness|hendrycksTest-sociology|5": { "acc": 0.9104477611940298, "acc_stderr": 0.020190670535027915, "acc_norm": 0.9104477611940298, "acc_norm_stderr": 0.020190670535027915 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.93, "acc_stderr": 0.0256432399976243, "acc_norm": 0.93, "acc_norm_stderr": 0.0256432399976243 }, "harness|hendrycksTest-virology|5": { "acc": 0.5662650602409639, "acc_stderr": 0.03858158940685516, "acc_norm": 0.5662650602409639, "acc_norm_stderr": 0.03858158940685516 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.8771929824561403, "acc_stderr": 0.02517298435015577, "acc_norm": 0.8771929824561403, "acc_norm_stderr": 0.02517298435015577 }, "harness|truthfulqa:mc|0": { "mc1": 0.4283965728274174, "mc1_stderr": 0.017323088597314754, "mc2": 0.5792788550440546, "mc2_stderr": 0.015335521477635526 }, "harness|winogrande|5": { "acc": 0.8271507498026835, "acc_stderr": 0.010626964529971859 }, "harness|gsm8k|5": { "acc": 0.6611068991660348, "acc_stderr": 0.01303795576856251 } } ``` ## 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]

YidaM4396/Test2

--- license: mit ---

saibo/bookcorpus_small_compact_1024_meta

--- dataset_info: features: - name: text dtype: string - name: concept_with_offset dtype: string - name: cid_arrangement sequence: int32 - name: schema_lengths sequence: int64 - name: topic_entity_mask sequence: int64 - name: text_lengths sequence: int64 splits: - name: train num_bytes: 192026469 num_examples: 1571 download_size: 0 dataset_size: 192026469 --- # Dataset Card for "bookcorpus_small_compact_1024_meta" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

open-llm-leaderboard/details_gmonsoon__Qwenchana-0.5B-restart

--- pretty_name: Evaluation run of gmonsoon/Qwenchana-0.5B-restart dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [gmonsoon/Qwenchana-0.5B-restart](https://huggingface.co/gmonsoon/Qwenchana-0.5B-restart)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 63 configuration, each one coresponding to one of the\ \ evaluated task.\n\nThe dataset has been created from 2 run(s). Each run can be\ \ found as a specific split in each configuration, the split being named using the\ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\ \nAn additional configuration \"results\" store all the aggregated results of the\ \ run (and is used to compute and display the aggregated metrics on the [Open LLM\ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\ \nTo load the details from a run, you can for instance do the following:\n```python\n\ from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_gmonsoon__Qwenchana-0.5B-restart\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-03-03T08:24:22.530704](https://huggingface.co/datasets/open-llm-leaderboard/details_gmonsoon__Qwenchana-0.5B-restart/blob/main/results_2024-03-03T08-24-22.530704.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\": 0.25895229357807475,\n\ \ \"acc_stderr\": 0.03102625874189923,\n \"acc_norm\": 0.2602863804038217,\n\ \ \"acc_norm_stderr\": 0.03178781024016605,\n \"mc1\": 0.24969400244798043,\n\ \ \"mc1_stderr\": 0.015152286907148128,\n \"mc2\": 0.404780510761619,\n\ \ \"mc2_stderr\": 0.014503353767789265\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.2627986348122867,\n \"acc_stderr\": 0.012862523175351333,\n\ \ \"acc_norm\": 0.3003412969283277,\n \"acc_norm_stderr\": 0.01339590930995701\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.3679545907189803,\n\ \ \"acc_stderr\": 0.004812633280078256,\n \"acc_norm\": 0.45947022505477,\n\ \ \"acc_norm_stderr\": 0.004973361339169648\n },\n \"harness|hendrycksTest-abstract_algebra|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-anatomy|5\": {\n \"acc\": 0.34074074074074073,\n\ \ \"acc_stderr\": 0.04094376269996794,\n \"acc_norm\": 0.34074074074074073,\n\ \ \"acc_norm_stderr\": 0.04094376269996794\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.3092105263157895,\n \"acc_stderr\": 0.03761070869867479,\n\ \ \"acc_norm\": 0.3092105263157895,\n \"acc_norm_stderr\": 0.03761070869867479\n\ \ },\n \"harness|hendrycksTest-business_ethics|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-clinical_knowledge|5\"\ : {\n \"acc\": 0.2641509433962264,\n \"acc_stderr\": 0.02713429162874171,\n\ \ \"acc_norm\": 0.2641509433962264,\n \"acc_norm_stderr\": 0.02713429162874171\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.2986111111111111,\n\ \ \"acc_stderr\": 0.03827052357950756,\n \"acc_norm\": 0.2986111111111111,\n\ \ \"acc_norm_stderr\": 0.03827052357950756\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.21,\n \"acc_stderr\": 0.04093601807403326,\n \ \ \"acc_norm\": 0.21,\n \"acc_norm_stderr\": 0.04093601807403326\n \ \ },\n \"harness|hendrycksTest-college_computer_science|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-college_mathematics|5\"\ : {\n \"acc\": 0.24,\n \"acc_stderr\": 0.04292346959909283,\n \ \ \"acc_norm\": 0.24,\n \"acc_norm_stderr\": 0.04292346959909283\n \ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.2138728323699422,\n\ \ \"acc_stderr\": 0.031265112061730424,\n \"acc_norm\": 0.2138728323699422,\n\ \ \"acc_norm_stderr\": 0.031265112061730424\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.22549019607843138,\n \"acc_stderr\": 0.041583075330832865,\n\ \ \"acc_norm\": 0.22549019607843138,\n \"acc_norm_stderr\": 0.041583075330832865\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.3,\n \"acc_stderr\": 0.046056618647183814,\n \"acc_norm\": 0.3,\n\ \ \"acc_norm_stderr\": 0.046056618647183814\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.25957446808510637,\n \"acc_stderr\": 0.028659179374292323,\n\ \ \"acc_norm\": 0.25957446808510637,\n \"acc_norm_stderr\": 0.028659179374292323\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\": 0.2896551724137931,\n \"acc_stderr\": 0.03780019230438014,\n\ \ \"acc_norm\": 0.2896551724137931,\n \"acc_norm_stderr\": 0.03780019230438014\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.26455026455026454,\n \"acc_stderr\": 0.022717467897708617,\n \"\ acc_norm\": 0.26455026455026454,\n \"acc_norm_stderr\": 0.022717467897708617\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.15079365079365079,\n\ \ \"acc_stderr\": 0.03200686497287392,\n \"acc_norm\": 0.15079365079365079,\n\ \ \"acc_norm_stderr\": 0.03200686497287392\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.27,\n \"acc_stderr\": 0.044619604333847394,\n \ \ \"acc_norm\": 0.27,\n \"acc_norm_stderr\": 0.044619604333847394\n \ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\"\ : 0.18064516129032257,\n \"acc_stderr\": 0.021886178567172534,\n \"\ acc_norm\": 0.18064516129032257,\n \"acc_norm_stderr\": 0.021886178567172534\n\ \ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\ : 0.2512315270935961,\n \"acc_stderr\": 0.030516530732694433,\n \"\ acc_norm\": 0.2512315270935961,\n \"acc_norm_stderr\": 0.030516530732694433\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.24,\n \"acc_stderr\": 0.04292346959909282,\n \"acc_norm\"\ : 0.24,\n \"acc_norm_stderr\": 0.04292346959909282\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.21212121212121213,\n \"acc_stderr\": 0.031922715695483,\n\ \ \"acc_norm\": 0.21212121212121213,\n \"acc_norm_stderr\": 0.031922715695483\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.18181818181818182,\n \"acc_stderr\": 0.027479603010538797,\n \"\ acc_norm\": 0.18181818181818182,\n \"acc_norm_stderr\": 0.027479603010538797\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.19689119170984457,\n \"acc_stderr\": 0.028697873971860664,\n\ \ \"acc_norm\": 0.19689119170984457,\n \"acc_norm_stderr\": 0.028697873971860664\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.21794871794871795,\n \"acc_stderr\": 0.020932445774463182,\n\ \ \"acc_norm\": 0.21794871794871795,\n \"acc_norm_stderr\": 0.020932445774463182\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.28888888888888886,\n \"acc_stderr\": 0.027634907264178544,\n \ \ \"acc_norm\": 0.28888888888888886,\n \"acc_norm_stderr\": 0.027634907264178544\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.21008403361344538,\n \"acc_stderr\": 0.026461398717471874,\n\ \ \"acc_norm\": 0.21008403361344538,\n \"acc_norm_stderr\": 0.026461398717471874\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.24503311258278146,\n \"acc_stderr\": 0.035118075718047245,\n \"\ acc_norm\": 0.24503311258278146,\n \"acc_norm_stderr\": 0.035118075718047245\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.1871559633027523,\n \"acc_stderr\": 0.01672268452620016,\n \"\ acc_norm\": 0.1871559633027523,\n \"acc_norm_stderr\": 0.01672268452620016\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.24074074074074073,\n \"acc_stderr\": 0.029157522184605593,\n \"\ acc_norm\": 0.24074074074074073,\n \"acc_norm_stderr\": 0.029157522184605593\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.2647058823529412,\n \"acc_stderr\": 0.030964517926923393,\n \"\ acc_norm\": 0.2647058823529412,\n \"acc_norm_stderr\": 0.030964517926923393\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.3037974683544304,\n \"acc_stderr\": 0.029936696387138608,\n \ \ \"acc_norm\": 0.3037974683544304,\n \"acc_norm_stderr\": 0.029936696387138608\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.31390134529147984,\n\ \ \"acc_stderr\": 0.03114679648297246,\n \"acc_norm\": 0.31390134529147984,\n\ \ \"acc_norm_stderr\": 0.03114679648297246\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.24427480916030533,\n \"acc_stderr\": 0.037683359597287434,\n\ \ \"acc_norm\": 0.24427480916030533,\n \"acc_norm_stderr\": 0.037683359597287434\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.371900826446281,\n \"acc_stderr\": 0.044120158066245044,\n \"\ acc_norm\": 0.371900826446281,\n \"acc_norm_stderr\": 0.044120158066245044\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.25,\n\ \ \"acc_stderr\": 0.04186091791394607,\n \"acc_norm\": 0.25,\n \ \ \"acc_norm_stderr\": 0.04186091791394607\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.2822085889570552,\n \"acc_stderr\": 0.03536117886664743,\n\ \ \"acc_norm\": 0.2822085889570552,\n \"acc_norm_stderr\": 0.03536117886664743\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.25892857142857145,\n\ \ \"acc_stderr\": 0.041577515398656284,\n \"acc_norm\": 0.25892857142857145,\n\ \ \"acc_norm_stderr\": 0.041577515398656284\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.1941747572815534,\n \"acc_stderr\": 0.03916667762822585,\n\ \ \"acc_norm\": 0.1941747572815534,\n \"acc_norm_stderr\": 0.03916667762822585\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.3076923076923077,\n\ \ \"acc_stderr\": 0.030236389942173095,\n \"acc_norm\": 0.3076923076923077,\n\ \ \"acc_norm_stderr\": 0.030236389942173095\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.29,\n \"acc_stderr\": 0.045604802157206845,\n \ \ \"acc_norm\": 0.29,\n \"acc_norm_stderr\": 0.045604802157206845\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.2784163473818646,\n\ \ \"acc_stderr\": 0.01602829518899247,\n \"acc_norm\": 0.2784163473818646,\n\ \ \"acc_norm_stderr\": 0.01602829518899247\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.2658959537572254,\n \"acc_stderr\": 0.023786203255508283,\n\ \ \"acc_norm\": 0.2658959537572254,\n \"acc_norm_stderr\": 0.023786203255508283\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.23798882681564246,\n\ \ \"acc_stderr\": 0.014242630070574885,\n \"acc_norm\": 0.23798882681564246,\n\ \ \"acc_norm_stderr\": 0.014242630070574885\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.23202614379084968,\n \"acc_stderr\": 0.024170840879341005,\n\ \ \"acc_norm\": 0.23202614379084968,\n \"acc_norm_stderr\": 0.024170840879341005\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.3054662379421222,\n\ \ \"acc_stderr\": 0.026160584450140485,\n \"acc_norm\": 0.3054662379421222,\n\ \ \"acc_norm_stderr\": 0.026160584450140485\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.22839506172839505,\n \"acc_stderr\": 0.023358211840626267,\n\ \ \"acc_norm\": 0.22839506172839505,\n \"acc_norm_stderr\": 0.023358211840626267\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.2198581560283688,\n \"acc_stderr\": 0.024706141070705474,\n \ \ \"acc_norm\": 0.2198581560283688,\n \"acc_norm_stderr\": 0.024706141070705474\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.26401564537157757,\n\ \ \"acc_stderr\": 0.011258435537723845,\n \"acc_norm\": 0.26401564537157757,\n\ \ \"acc_norm_stderr\": 0.011258435537723845\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.17647058823529413,\n \"acc_stderr\": 0.02315746830855934,\n\ \ \"acc_norm\": 0.17647058823529413,\n \"acc_norm_stderr\": 0.02315746830855934\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.2777777777777778,\n \"acc_stderr\": 0.018120224251484587,\n \ \ \"acc_norm\": 0.2777777777777778,\n \"acc_norm_stderr\": 0.018120224251484587\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.2636363636363636,\n\ \ \"acc_stderr\": 0.04220224692971987,\n \"acc_norm\": 0.2636363636363636,\n\ \ \"acc_norm_stderr\": 0.04220224692971987\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.20408163265306123,\n \"acc_stderr\": 0.025801283475090506,\n\ \ \"acc_norm\": 0.20408163265306123,\n \"acc_norm_stderr\": 0.025801283475090506\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.27860696517412936,\n\ \ \"acc_stderr\": 0.031700561834973086,\n \"acc_norm\": 0.27860696517412936,\n\ \ \"acc_norm_stderr\": 0.031700561834973086\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.27,\n \"acc_stderr\": 0.044619604333847394,\n \ \ \"acc_norm\": 0.27,\n \"acc_norm_stderr\": 0.044619604333847394\n \ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.25903614457831325,\n\ \ \"acc_stderr\": 0.034106466140718564,\n \"acc_norm\": 0.25903614457831325,\n\ \ \"acc_norm_stderr\": 0.034106466140718564\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.28654970760233917,\n \"acc_stderr\": 0.03467826685703826,\n\ \ \"acc_norm\": 0.28654970760233917,\n \"acc_norm_stderr\": 0.03467826685703826\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.24969400244798043,\n\ \ \"mc1_stderr\": 0.015152286907148128,\n \"mc2\": 0.404780510761619,\n\ \ \"mc2_stderr\": 0.014503353767789265\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.5485398579321231,\n \"acc_stderr\": 0.013986110301017759\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.019711902956785442,\n \ \ \"acc_stderr\": 0.0038289829787356905\n }\n}\n```" repo_url: https://huggingface.co/gmonsoon/Qwenchana-0.5B-restart 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_03T08_17_31.289579 path: - '**/details_harness|arc:challenge|25_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '**/details_harness|arc:challenge|25_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2024-03-03T08-24-22.530704.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '**/details_harness|gsm8k|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '**/details_harness|gsm8k|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_03_03T08_17_31.289579 path: - '**/details_harness|hellaswag|10_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '**/details_harness|hellaswag|10_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-03T08-17-31.289579.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-03-03T08-17-31.289579.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-03-03T08-17-31.289579.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-03T08-17-31.289579.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-03T08-17-31.289579.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-03-03T08-17-31.289579.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-03T08-17-31.289579.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-03T08-17-31.289579.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-03T08-17-31.289579.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-03T08-17-31.289579.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-03-03T08-17-31.289579.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-03-03T08-17-31.289579.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-03T08-17-31.289579.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-03-03T08-17-31.289579.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-03T08-17-31.289579.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-03T08-17-31.289579.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-03T08-17-31.289579.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-03-03T08-17-31.289579.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-03T08-17-31.289579.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-03T08-17-31.289579.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-03T08-17-31.289579.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-03T08-17-31.289579.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-03T08-17-31.289579.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-03T08-17-31.289579.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-03T08-17-31.289579.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-03T08-17-31.289579.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-03T08-17-31.289579.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-03T08-17-31.289579.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-03T08-17-31.289579.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-03T08-17-31.289579.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-03T08-17-31.289579.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-03T08-17-31.289579.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-03-03T08-17-31.289579.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-03T08-17-31.289579.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-03-03T08-17-31.289579.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-03T08-17-31.289579.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-03T08-17-31.289579.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-03T08-17-31.289579.parquet' - '**/details_harness|hendrycksTest-management|5_2024-03-03T08-17-31.289579.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-03-03T08-17-31.289579.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-03T08-17-31.289579.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-03T08-17-31.289579.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-03T08-17-31.289579.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-03T08-17-31.289579.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-03-03T08-17-31.289579.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-03-03T08-17-31.289579.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-03-03T08-17-31.289579.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-03T08-17-31.289579.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-03-03T08-17-31.289579.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-03T08-17-31.289579.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-03T08-17-31.289579.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-03-03T08-17-31.289579.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-03-03T08-17-31.289579.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-03-03T08-17-31.289579.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-03T08-17-31.289579.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-03-03T08-17-31.289579.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-management|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-management|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-03-03T08-24-22.530704.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '**/details_harness|hendrycksTest-anatomy|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '**/details_harness|hendrycksTest-anatomy|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '**/details_harness|hendrycksTest-astronomy|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '**/details_harness|hendrycksTest-astronomy|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '**/details_harness|hendrycksTest-college_biology|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '**/details_harness|hendrycksTest-college_biology|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '**/details_harness|hendrycksTest-college_physics|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '**/details_harness|hendrycksTest-college_physics|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '**/details_harness|hendrycksTest-computer_security|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '**/details_harness|hendrycksTest-computer_security|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '**/details_harness|hendrycksTest-econometrics|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '**/details_harness|hendrycksTest-econometrics|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '**/details_harness|hendrycksTest-global_facts|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '**/details_harness|hendrycksTest-global_facts|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '**/details_harness|hendrycksTest-human_aging|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '**/details_harness|hendrycksTest-human_aging|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '**/details_harness|hendrycksTest-international_law|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '**/details_harness|hendrycksTest-international_law|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '**/details_harness|hendrycksTest-management|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '**/details_harness|hendrycksTest-management|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '**/details_harness|hendrycksTest-marketing|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '**/details_harness|hendrycksTest-marketing|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '**/details_harness|hendrycksTest-nutrition|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '**/details_harness|hendrycksTest-nutrition|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '**/details_harness|hendrycksTest-philosophy|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '**/details_harness|hendrycksTest-philosophy|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '**/details_harness|hendrycksTest-prehistory|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '**/details_harness|hendrycksTest-prehistory|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '**/details_harness|hendrycksTest-professional_law|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '**/details_harness|hendrycksTest-professional_law|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '**/details_harness|hendrycksTest-public_relations|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '**/details_harness|hendrycksTest-public_relations|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '**/details_harness|hendrycksTest-security_studies|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '**/details_harness|hendrycksTest-security_studies|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '**/details_harness|hendrycksTest-sociology|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '**/details_harness|hendrycksTest-sociology|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '**/details_harness|hendrycksTest-virology|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '**/details_harness|hendrycksTest-virology|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '**/details_harness|hendrycksTest-world_religions|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '**/details_harness|hendrycksTest-world_religions|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2024-03-03T08-24-22.530704.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_03_03T08_17_31.289579 path: - '**/details_harness|truthfulqa:mc|0_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '**/details_harness|truthfulqa:mc|0_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2024-03-03T08-24-22.530704.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_03_03T08_17_31.289579 path: - '**/details_harness|winogrande|5_2024-03-03T08-17-31.289579.parquet' - split: 2024_03_03T08_24_22.530704 path: - '**/details_harness|winogrande|5_2024-03-03T08-24-22.530704.parquet' - split: latest path: - '**/details_harness|winogrande|5_2024-03-03T08-24-22.530704.parquet' - config_name: results data_files: - split: 2024_03_03T08_17_31.289579 path: - results_2024-03-03T08-17-31.289579.parquet - split: 2024_03_03T08_24_22.530704 path: - results_2024-03-03T08-24-22.530704.parquet - split: latest path: - results_2024-03-03T08-24-22.530704.parquet --- # Dataset Card for Evaluation run of gmonsoon/Qwenchana-0.5B-restart  Dataset automatically created during the evaluation run of model [gmonsoon/Qwenchana-0.5B-restart](https://huggingface.co/gmonsoon/Qwenchana-0.5B-restart) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 2 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)). To load the details from a run, you can for instance do the following: ```python from datasets import load_dataset data = load_dataset("open-llm-leaderboard/details_gmonsoon__Qwenchana-0.5B-restart", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-03-03T08:24:22.530704](https://huggingface.co/datasets/open-llm-leaderboard/details_gmonsoon__Qwenchana-0.5B-restart/blob/main/results_2024-03-03T08-24-22.530704.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": 0.25895229357807475, "acc_stderr": 0.03102625874189923, "acc_norm": 0.2602863804038217, "acc_norm_stderr": 0.03178781024016605, "mc1": 0.24969400244798043, "mc1_stderr": 0.015152286907148128, "mc2": 0.404780510761619, "mc2_stderr": 0.014503353767789265 }, "harness|arc:challenge|25": { "acc": 0.2627986348122867, "acc_stderr": 0.012862523175351333, "acc_norm": 0.3003412969283277, "acc_norm_stderr": 0.01339590930995701 }, "harness|hellaswag|10": { "acc": 0.3679545907189803, "acc_stderr": 0.004812633280078256, "acc_norm": 0.45947022505477, "acc_norm_stderr": 0.004973361339169648 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.36, "acc_stderr": 0.04824181513244218, "acc_norm": 0.36, "acc_norm_stderr": 0.04824181513244218 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.34074074074074073, "acc_stderr": 0.04094376269996794, "acc_norm": 0.34074074074074073, "acc_norm_stderr": 0.04094376269996794 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.3092105263157895, "acc_stderr": 0.03761070869867479, "acc_norm": 0.3092105263157895, "acc_norm_stderr": 0.03761070869867479 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.29, "acc_stderr": 0.04560480215720684, "acc_norm": 0.29, "acc_norm_stderr": 0.04560480215720684 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.2641509433962264, "acc_stderr": 0.02713429162874171, "acc_norm": 0.2641509433962264, "acc_norm_stderr": 0.02713429162874171 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.2986111111111111, "acc_stderr": 0.03827052357950756, "acc_norm": 0.2986111111111111, "acc_norm_stderr": 0.03827052357950756 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.21, "acc_stderr": 0.04093601807403326, "acc_norm": 0.21, "acc_norm_stderr": 0.04093601807403326 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.24, "acc_stderr": 0.04292346959909283, "acc_norm": 0.24, "acc_norm_stderr": 0.04292346959909283 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.2138728323699422, "acc_stderr": 0.031265112061730424, "acc_norm": 0.2138728323699422, "acc_norm_stderr": 0.031265112061730424 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.22549019607843138, "acc_stderr": 0.041583075330832865, "acc_norm": 0.22549019607843138, "acc_norm_stderr": 0.041583075330832865 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.3, "acc_stderr": 0.046056618647183814, "acc_norm": 0.3, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.25957446808510637, "acc_stderr": 0.028659179374292323, "acc_norm": 0.25957446808510637, "acc_norm_stderr": 0.028659179374292323 }, "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": 0.2896551724137931, "acc_stderr": 0.03780019230438014, "acc_norm": 0.2896551724137931, "acc_norm_stderr": 0.03780019230438014 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.26455026455026454, "acc_stderr": 0.022717467897708617, "acc_norm": 0.26455026455026454, "acc_norm_stderr": 0.022717467897708617 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.15079365079365079, "acc_stderr": 0.03200686497287392, "acc_norm": 0.15079365079365079, "acc_norm_stderr": 0.03200686497287392 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.27, "acc_stderr": 0.044619604333847394, "acc_norm": 0.27, "acc_norm_stderr": 0.044619604333847394 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.18064516129032257, "acc_stderr": 0.021886178567172534, "acc_norm": 0.18064516129032257, "acc_norm_stderr": 0.021886178567172534 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.2512315270935961, "acc_stderr": 0.030516530732694433, "acc_norm": 0.2512315270935961, "acc_norm_stderr": 0.030516530732694433 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.24, "acc_stderr": 0.04292346959909282, "acc_norm": 0.24, "acc_norm_stderr": 0.04292346959909282 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.21212121212121213, "acc_stderr": 0.031922715695483, "acc_norm": 0.21212121212121213, "acc_norm_stderr": 0.031922715695483 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.18181818181818182, "acc_stderr": 0.027479603010538797, "acc_norm": 0.18181818181818182, "acc_norm_stderr": 0.027479603010538797 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.19689119170984457, "acc_stderr": 0.028697873971860664, "acc_norm": 0.19689119170984457, "acc_norm_stderr": 0.028697873971860664 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.21794871794871795, "acc_stderr": 0.020932445774463182, "acc_norm": 0.21794871794871795, "acc_norm_stderr": 0.020932445774463182 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.28888888888888886, "acc_stderr": 0.027634907264178544, "acc_norm": 0.28888888888888886, "acc_norm_stderr": 0.027634907264178544 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.21008403361344538, "acc_stderr": 0.026461398717471874, "acc_norm": 0.21008403361344538, "acc_norm_stderr": 0.026461398717471874 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.24503311258278146, "acc_stderr": 0.035118075718047245, "acc_norm": 0.24503311258278146, "acc_norm_stderr": 0.035118075718047245 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.1871559633027523, "acc_stderr": 0.01672268452620016, "acc_norm": 0.1871559633027523, "acc_norm_stderr": 0.01672268452620016 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.24074074074074073, "acc_stderr": 0.029157522184605593, "acc_norm": 0.24074074074074073, "acc_norm_stderr": 0.029157522184605593 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.2647058823529412, "acc_stderr": 0.030964517926923393, "acc_norm": 0.2647058823529412, "acc_norm_stderr": 0.030964517926923393 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.3037974683544304, "acc_stderr": 0.029936696387138608, "acc_norm": 0.3037974683544304, "acc_norm_stderr": 0.029936696387138608 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.31390134529147984, "acc_stderr": 0.03114679648297246, "acc_norm": 0.31390134529147984, "acc_norm_stderr": 0.03114679648297246 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.24427480916030533, "acc_stderr": 0.037683359597287434, "acc_norm": 0.24427480916030533, "acc_norm_stderr": 0.037683359597287434 }, "harness|hendrycksTest-international_law|5": { "acc": 0.371900826446281, "acc_stderr": 0.044120158066245044, "acc_norm": 0.371900826446281, "acc_norm_stderr": 0.044120158066245044 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.25, "acc_stderr": 0.04186091791394607, "acc_norm": 0.25, "acc_norm_stderr": 0.04186091791394607 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.2822085889570552, "acc_stderr": 0.03536117886664743, "acc_norm": 0.2822085889570552, "acc_norm_stderr": 0.03536117886664743 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.25892857142857145, "acc_stderr": 0.041577515398656284, "acc_norm": 0.25892857142857145, "acc_norm_stderr": 0.041577515398656284 }, "harness|hendrycksTest-management|5": { "acc": 0.1941747572815534, "acc_stderr": 0.03916667762822585, "acc_norm": 0.1941747572815534, "acc_norm_stderr": 0.03916667762822585 }, "harness|hendrycksTest-marketing|5": { "acc": 0.3076923076923077, "acc_stderr": 0.030236389942173095, "acc_norm": 0.3076923076923077, "acc_norm_stderr": 0.030236389942173095 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.29, "acc_stderr": 0.045604802157206845, "acc_norm": 0.29, "acc_norm_stderr": 0.045604802157206845 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.2784163473818646, "acc_stderr": 0.01602829518899247, "acc_norm": 0.2784163473818646, "acc_norm_stderr": 0.01602829518899247 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.2658959537572254, "acc_stderr": 0.023786203255508283, "acc_norm": 0.2658959537572254, "acc_norm_stderr": 0.023786203255508283 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.23798882681564246, "acc_stderr": 0.014242630070574885, "acc_norm": 0.23798882681564246, "acc_norm_stderr": 0.014242630070574885 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.23202614379084968, "acc_stderr": 0.024170840879341005, "acc_norm": 0.23202614379084968, "acc_norm_stderr": 0.024170840879341005 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.3054662379421222, "acc_stderr": 0.026160584450140485, "acc_norm": 0.3054662379421222, "acc_norm_stderr": 0.026160584450140485 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.22839506172839505, "acc_stderr": 0.023358211840626267, "acc_norm": 0.22839506172839505, "acc_norm_stderr": 0.023358211840626267 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.2198581560283688, "acc_stderr": 0.024706141070705474, "acc_norm": 0.2198581560283688, "acc_norm_stderr": 0.024706141070705474 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.26401564537157757, "acc_stderr": 0.011258435537723845, "acc_norm": 0.26401564537157757, "acc_norm_stderr": 0.011258435537723845 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.17647058823529413, "acc_stderr": 0.02315746830855934, "acc_norm": 0.17647058823529413, "acc_norm_stderr": 0.02315746830855934 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.2777777777777778, "acc_stderr": 0.018120224251484587, "acc_norm": 0.2777777777777778, "acc_norm_stderr": 0.018120224251484587 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.2636363636363636, "acc_stderr": 0.04220224692971987, "acc_norm": 0.2636363636363636, "acc_norm_stderr": 0.04220224692971987 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.20408163265306123, "acc_stderr": 0.025801283475090506, "acc_norm": 0.20408163265306123, "acc_norm_stderr": 0.025801283475090506 }, "harness|hendrycksTest-sociology|5": { "acc": 0.27860696517412936, "acc_stderr": 0.031700561834973086, "acc_norm": 0.27860696517412936, "acc_norm_stderr": 0.031700561834973086 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.27, "acc_stderr": 0.044619604333847394, "acc_norm": 0.27, "acc_norm_stderr": 0.044619604333847394 }, "harness|hendrycksTest-virology|5": { "acc": 0.25903614457831325, "acc_stderr": 0.034106466140718564, "acc_norm": 0.25903614457831325, "acc_norm_stderr": 0.034106466140718564 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.28654970760233917, "acc_stderr": 0.03467826685703826, "acc_norm": 0.28654970760233917, "acc_norm_stderr": 0.03467826685703826 }, "harness|truthfulqa:mc|0": { "mc1": 0.24969400244798043, "mc1_stderr": 0.015152286907148128, "mc2": 0.404780510761619, "mc2_stderr": 0.014503353767789265 }, "harness|winogrande|5": { "acc": 0.5485398579321231, "acc_stderr": 0.013986110301017759 }, "harness|gsm8k|5": { "acc": 0.019711902956785442, "acc_stderr": 0.0038289829787356905 } } ``` ## 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]

aengusl/noise5_alpaca_sleeper_agents_toy_safety_v4

--- dataset_info: features: - name: prompt dtype: string - name: response dtype: string - name: chosen dtype: string - name: rejected dtype: string splits: - name: train num_bytes: 1665610 num_examples: 2828 download_size: 876451 dataset_size: 1665610 configs: - config_name: default data_files: - split: train path: data/train-* ---

CyberHarem/samidare_kantaicollection

--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of samidare/五月雨/五月雨 (Kantai Collection) This is the dataset of samidare/五月雨/五月雨 (Kantai Collection), containing 500 images and their tags. The core tags of this character are `blue_hair, long_hair, very_long_hair, blue_eyes, bangs, swept_bangs, multicolored_hair, gradient_hair`, which are pruned in this dataset. Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)). ## List of Packages | Name | Images | Size | Download | Type | Description | |:-----------------|---------:|:-----------|:---------------------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------| | raw | 500 | 511.30 MiB | [Download](https://huggingface.co/datasets/CyberHarem/samidare_kantaicollection/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | | 800 | 500 | 332.35 MiB | [Download](https://huggingface.co/datasets/CyberHarem/samidare_kantaicollection/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. | | stage3-p480-800 | 1132 | 665.85 MiB | [Download](https://huggingface.co/datasets/CyberHarem/samidare_kantaicollection/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | | 1200 | 500 | 469.83 MiB | [Download](https://huggingface.co/datasets/CyberHarem/samidare_kantaicollection/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. | | stage3-p480-1200 | 1132 | 872.35 MiB | [Download](https://huggingface.co/datasets/CyberHarem/samidare_kantaicollection/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/samidare_kantaicollection', 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 | 20 | ![](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, elbow_gloves, sleeveless_shirt, solo, black_gloves, black_thighhighs, looking_at_viewer, black_neckerchief, black_sailor_collar, white_skirt, smile, cowboy_shot, white_background, simple_background, white_serafuku | | 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_thighhighs, elbow_gloves, neckerchief, sailor_collar, serafuku, skirt, sleeveless_shirt, solo, simple_background, white_background, zettai_ryouiki, black_gloves, looking_at_viewer, smile | | 2 | 15 | ![](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, elbow_gloves, looking_at_viewer, serafuku, sleeveless_shirt, solo, upper_body, black_sailor_collar, black_neckerchief, black_gloves, smile, white_background, blush, dated, simple_background | | 3 | 17 | ![](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, serafuku, solo, elbow_gloves, smile, looking_at_viewer, skirt, black_thighhighs, open_mouth, blush, zettai_ryouiki, sitting | | 4 | 7 | ![](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, alternate_costume, looking_at_viewer, solo, simple_background, smile, white_background, white_dress, open_mouth, blush, cowboy_shot, full_body | | 5 | 10 | ![](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) | fake_animal_ears, open_mouth, playboy_bunny, rabbit_ears, strapless_leotard, 1girl, detached_collar, solo, small_breasts, blush, bowtie, looking_at_viewer, wrist_cuffs, alternate_costume, black_leotard, black_pantyhose, cowboy_shot, fishnet_pantyhose, smile, white_background, white_leotard | | 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) | 1girl, enmaided, frilled_apron, looking_at_viewer, open_mouth, smile, solo, black_dress, blush, short_sleeves, white_apron, black_thighhighs, cowboy_shot, maid_apron, maid_headdress, puffy_sleeves, wrist_cuffs, bow, full_body, holding, ribbon, simple_background, tray, waist_apron | | 7 | 25 | ![](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, solo, small_breasts, blush, looking_at_viewer, twitter_username, nipples, completely_nude, navel, artist_name, collarbone, sitting | | 8 | 17 | ![](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, alternate_costume, blush, solo, floral_print, smile, looking_at_viewer, open_mouth, obi, blue_kimono, holding, wide_sleeves, new_year, hair_flower, upper_body, alternate_hairstyle, long_sleeves, yukata | ### Table Version | # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1girl | elbow_gloves | sleeveless_shirt | solo | black_gloves | black_thighhighs | looking_at_viewer | black_neckerchief | black_sailor_collar | white_skirt | smile | cowboy_shot | white_background | simple_background | white_serafuku | neckerchief | sailor_collar | serafuku | skirt | zettai_ryouiki | upper_body | blush | dated | open_mouth | sitting | alternate_costume | white_dress | full_body | fake_animal_ears | playboy_bunny | rabbit_ears | strapless_leotard | detached_collar | small_breasts | bowtie | wrist_cuffs | black_leotard | black_pantyhose | fishnet_pantyhose | white_leotard | enmaided | frilled_apron | black_dress | short_sleeves | white_apron | maid_apron | maid_headdress | puffy_sleeves | bow | holding | ribbon | tray | waist_apron | twitter_username | nipples | completely_nude | navel | artist_name | collarbone | floral_print | obi | blue_kimono | wide_sleeves | new_year | hair_flower | alternate_hairstyle | long_sleeves | yukata | |----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------|:---------------|:-------------------|:-------|:---------------|:-------------------|:--------------------|:--------------------|:----------------------|:--------------|:--------|:--------------|:-------------------|:--------------------|:-----------------|:--------------|:----------------|:-----------|:--------|:-----------------|:-------------|:--------|:--------|:-------------|:----------|:--------------------|:--------------|:------------|:-------------------|:----------------|:--------------|:--------------------|:------------------|:----------------|:---------|:--------------|:----------------|:------------------|:--------------------|:----------------|:-----------|:----------------|:--------------|:----------------|:--------------|:-------------|:-----------------|:----------------|:------|:----------|:---------|:-------|:--------------|:-------------------|:----------|:------------------|:--------|:--------------|:-------------|:---------------|:------|:--------------|:---------------|:-----------|:--------------|:----------------------|:---------------|:---------| | 0 | 20 | ![](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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 2 | 15 | ![](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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 3 | 17 | ![](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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 4 | 7 | ![](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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 5 | 10 | ![](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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 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 | X | | | | | | | | | | | | | | | | | 7 | 25 | ![](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 | | | | | | | | | | | 8 | 17 | ![](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 |

open-llm-leaderboard/details_lamhieu__ghost-7b-v0.9.0

--- pretty_name: Evaluation run of lamhieu/ghost-7b-v0.9.0 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [lamhieu/ghost-7b-v0.9.0](https://huggingface.co/lamhieu/ghost-7b-v0.9.0) 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_lamhieu__ghost-7b-v0.9.0\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-02-01T17:50:44.669359](https://huggingface.co/datasets/open-llm-leaderboard/details_lamhieu__ghost-7b-v0.9.0/blob/main/results_2024-02-01T17-50-44.669359.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\": 0.5499871299235607,\n\ \ \"acc_stderr\": 0.03407586587227753,\n \"acc_norm\": 0.5544447274332273,\n\ \ \"acc_norm_stderr\": 0.03478665284686247,\n \"mc1\": 0.3292533659730722,\n\ \ \"mc1_stderr\": 0.016451264440068232,\n \"mc2\": 0.4779306640850261,\n\ \ \"mc2_stderr\": 0.015098925727831657\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.49658703071672355,\n \"acc_stderr\": 0.014611050403244077,\n\ \ \"acc_norm\": 0.5307167235494881,\n \"acc_norm_stderr\": 0.014583792546304037\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.5758812985461064,\n\ \ \"acc_stderr\": 0.004931984642695341,\n \"acc_norm\": 0.7793268273252341,\n\ \ \"acc_norm_stderr\": 0.004138529919075824\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ : {\n \"acc\": 0.26,\n \"acc_stderr\": 0.04408440022768081,\n \ \ \"acc_norm\": 0.26,\n \"acc_norm_stderr\": 0.04408440022768081\n \ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.4962962962962963,\n\ \ \"acc_stderr\": 0.04319223625811331,\n \"acc_norm\": 0.4962962962962963,\n\ \ \"acc_norm_stderr\": 0.04319223625811331\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.5263157894736842,\n \"acc_stderr\": 0.04063302731486671,\n\ \ \"acc_norm\": 0.5263157894736842,\n \"acc_norm_stderr\": 0.04063302731486671\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.55,\n\ \ \"acc_stderr\": 0.05,\n \"acc_norm\": 0.55,\n \"acc_norm_stderr\"\ : 0.05\n },\n \"harness|hendrycksTest-clinical_knowledge|5\": {\n \"\ acc\": 0.630188679245283,\n \"acc_stderr\": 0.029711421880107933,\n \ \ \"acc_norm\": 0.630188679245283,\n \"acc_norm_stderr\": 0.029711421880107933\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.5625,\n\ \ \"acc_stderr\": 0.04148415739394154,\n \"acc_norm\": 0.5625,\n \ \ \"acc_norm_stderr\": 0.04148415739394154\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.44,\n \"acc_stderr\": 0.04988876515698589,\n \ \ \"acc_norm\": 0.44,\n \"acc_norm_stderr\": 0.04988876515698589\n \ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\ : 0.47,\n \"acc_stderr\": 0.05016135580465919,\n \"acc_norm\": 0.47,\n\ \ \"acc_norm_stderr\": 0.05016135580465919\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\": 0.5722543352601156,\n\ \ \"acc_stderr\": 0.037724468575180276,\n \"acc_norm\": 0.5722543352601156,\n\ \ \"acc_norm_stderr\": 0.037724468575180276\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.29411764705882354,\n \"acc_stderr\": 0.04533838195929776,\n\ \ \"acc_norm\": 0.29411764705882354,\n \"acc_norm_stderr\": 0.04533838195929776\n\ \ },\n \"harness|hendrycksTest-computer_security|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-conceptual_physics|5\"\ : {\n \"acc\": 0.4425531914893617,\n \"acc_stderr\": 0.03246956919789958,\n\ \ \"acc_norm\": 0.4425531914893617,\n \"acc_norm_stderr\": 0.03246956919789958\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.40350877192982454,\n\ \ \"acc_stderr\": 0.046151869625837026,\n \"acc_norm\": 0.40350877192982454,\n\ \ \"acc_norm_stderr\": 0.046151869625837026\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.5172413793103449,\n \"acc_stderr\": 0.04164188720169375,\n\ \ \"acc_norm\": 0.5172413793103449,\n \"acc_norm_stderr\": 0.04164188720169375\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.3386243386243386,\n \"acc_stderr\": 0.024373197867983046,\n \"\ acc_norm\": 0.3386243386243386,\n \"acc_norm_stderr\": 0.024373197867983046\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.36507936507936506,\n\ \ \"acc_stderr\": 0.04306241259127153,\n \"acc_norm\": 0.36507936507936506,\n\ \ \"acc_norm_stderr\": 0.04306241259127153\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.33,\n \"acc_stderr\": 0.04725815626252605,\n \ \ \"acc_norm\": 0.33,\n \"acc_norm_stderr\": 0.04725815626252605\n \ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.6612903225806451,\n\ \ \"acc_stderr\": 0.02692344605930284,\n \"acc_norm\": 0.6612903225806451,\n\ \ \"acc_norm_stderr\": 0.02692344605930284\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\ : {\n \"acc\": 0.3842364532019704,\n \"acc_stderr\": 0.0342239856565755,\n\ \ \"acc_norm\": 0.3842364532019704,\n \"acc_norm_stderr\": 0.0342239856565755\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.61,\n \"acc_stderr\": 0.04902071300001974,\n \"acc_norm\"\ : 0.61,\n \"acc_norm_stderr\": 0.04902071300001974\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.6848484848484848,\n \"acc_stderr\": 0.0362773057502241,\n\ \ \"acc_norm\": 0.6848484848484848,\n \"acc_norm_stderr\": 0.0362773057502241\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.7373737373737373,\n \"acc_stderr\": 0.03135305009533086,\n \"\ acc_norm\": 0.7373737373737373,\n \"acc_norm_stderr\": 0.03135305009533086\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.7772020725388601,\n \"acc_stderr\": 0.03003114797764154,\n\ \ \"acc_norm\": 0.7772020725388601,\n \"acc_norm_stderr\": 0.03003114797764154\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.5051282051282051,\n \"acc_stderr\": 0.02534967290683865,\n \ \ \"acc_norm\": 0.5051282051282051,\n \"acc_norm_stderr\": 0.02534967290683865\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.3037037037037037,\n \"acc_stderr\": 0.02803792996911499,\n \ \ \"acc_norm\": 0.3037037037037037,\n \"acc_norm_stderr\": 0.02803792996911499\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.5210084033613446,\n \"acc_stderr\": 0.03244980849990029,\n \ \ \"acc_norm\": 0.5210084033613446,\n \"acc_norm_stderr\": 0.03244980849990029\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.33112582781456956,\n \"acc_stderr\": 0.038425817186598696,\n \"\ acc_norm\": 0.33112582781456956,\n \"acc_norm_stderr\": 0.038425817186598696\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.7339449541284404,\n \"acc_stderr\": 0.0189460223222256,\n \"acc_norm\"\ : 0.7339449541284404,\n \"acc_norm_stderr\": 0.0189460223222256\n },\n\ \ \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\": 0.5370370370370371,\n\ \ \"acc_stderr\": 0.03400603625538272,\n \"acc_norm\": 0.5370370370370371,\n\ \ \"acc_norm_stderr\": 0.03400603625538272\n },\n \"harness|hendrycksTest-high_school_us_history|5\"\ : {\n \"acc\": 0.6911764705882353,\n \"acc_stderr\": 0.03242661719827218,\n\ \ \"acc_norm\": 0.6911764705882353,\n \"acc_norm_stderr\": 0.03242661719827218\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.729957805907173,\n \"acc_stderr\": 0.028900721906293426,\n \ \ \"acc_norm\": 0.729957805907173,\n \"acc_norm_stderr\": 0.028900721906293426\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6322869955156951,\n\ \ \"acc_stderr\": 0.03236198350928276,\n \"acc_norm\": 0.6322869955156951,\n\ \ \"acc_norm_stderr\": 0.03236198350928276\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.6335877862595419,\n \"acc_stderr\": 0.04225875451969638,\n\ \ \"acc_norm\": 0.6335877862595419,\n \"acc_norm_stderr\": 0.04225875451969638\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.6776859504132231,\n \"acc_stderr\": 0.04266416363352168,\n \"\ acc_norm\": 0.6776859504132231,\n \"acc_norm_stderr\": 0.04266416363352168\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.6203703703703703,\n\ \ \"acc_stderr\": 0.04691521224077742,\n \"acc_norm\": 0.6203703703703703,\n\ \ \"acc_norm_stderr\": 0.04691521224077742\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.6319018404907976,\n \"acc_stderr\": 0.03789213935838396,\n\ \ \"acc_norm\": 0.6319018404907976,\n \"acc_norm_stderr\": 0.03789213935838396\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.4732142857142857,\n\ \ \"acc_stderr\": 0.047389751192741546,\n \"acc_norm\": 0.4732142857142857,\n\ \ \"acc_norm_stderr\": 0.047389751192741546\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.7087378640776699,\n \"acc_stderr\": 0.044986763205729245,\n\ \ \"acc_norm\": 0.7087378640776699,\n \"acc_norm_stderr\": 0.044986763205729245\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8333333333333334,\n\ \ \"acc_stderr\": 0.024414947304543674,\n \"acc_norm\": 0.8333333333333334,\n\ \ \"acc_norm_stderr\": 0.024414947304543674\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.59,\n \"acc_stderr\": 0.049431107042371025,\n \ \ \"acc_norm\": 0.59,\n \"acc_norm_stderr\": 0.049431107042371025\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.7266922094508301,\n\ \ \"acc_stderr\": 0.015936681062628556,\n \"acc_norm\": 0.7266922094508301,\n\ \ \"acc_norm_stderr\": 0.015936681062628556\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.6069364161849711,\n \"acc_stderr\": 0.026296227915613663,\n\ \ \"acc_norm\": 0.6069364161849711,\n \"acc_norm_stderr\": 0.026296227915613663\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.2860335195530726,\n\ \ \"acc_stderr\": 0.015113972129062129,\n \"acc_norm\": 0.2860335195530726,\n\ \ \"acc_norm_stderr\": 0.015113972129062129\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.5849673202614379,\n \"acc_stderr\": 0.028213504177824093,\n\ \ \"acc_norm\": 0.5849673202614379,\n \"acc_norm_stderr\": 0.028213504177824093\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.6559485530546624,\n\ \ \"acc_stderr\": 0.026981478043648033,\n \"acc_norm\": 0.6559485530546624,\n\ \ \"acc_norm_stderr\": 0.026981478043648033\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.6111111111111112,\n \"acc_stderr\": 0.027125115513166844,\n\ \ \"acc_norm\": 0.6111111111111112,\n \"acc_norm_stderr\": 0.027125115513166844\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.4326241134751773,\n \"acc_stderr\": 0.02955545423677885,\n \ \ \"acc_norm\": 0.4326241134751773,\n \"acc_norm_stderr\": 0.02955545423677885\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.378748370273794,\n\ \ \"acc_stderr\": 0.012389052105003732,\n \"acc_norm\": 0.378748370273794,\n\ \ \"acc_norm_stderr\": 0.012389052105003732\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.5367647058823529,\n \"acc_stderr\": 0.030290619180485687,\n\ \ \"acc_norm\": 0.5367647058823529,\n \"acc_norm_stderr\": 0.030290619180485687\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.5571895424836601,\n \"acc_stderr\": 0.02009508315457735,\n \ \ \"acc_norm\": 0.5571895424836601,\n \"acc_norm_stderr\": 0.02009508315457735\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6181818181818182,\n\ \ \"acc_stderr\": 0.04653429807913508,\n \"acc_norm\": 0.6181818181818182,\n\ \ \"acc_norm_stderr\": 0.04653429807913508\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.5346938775510204,\n \"acc_stderr\": 0.03193207024425314,\n\ \ \"acc_norm\": 0.5346938775510204,\n \"acc_norm_stderr\": 0.03193207024425314\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.7761194029850746,\n\ \ \"acc_stderr\": 0.0294752502360172,\n \"acc_norm\": 0.7761194029850746,\n\ \ \"acc_norm_stderr\": 0.0294752502360172\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.72,\n \"acc_stderr\": 0.04512608598542128,\n \ \ \"acc_norm\": 0.72,\n \"acc_norm_stderr\": 0.04512608598542128\n \ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.41566265060240964,\n\ \ \"acc_stderr\": 0.03836722176598052,\n \"acc_norm\": 0.41566265060240964,\n\ \ \"acc_norm_stderr\": 0.03836722176598052\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.7426900584795322,\n \"acc_stderr\": 0.03352799844161865,\n\ \ \"acc_norm\": 0.7426900584795322,\n \"acc_norm_stderr\": 0.03352799844161865\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.3292533659730722,\n\ \ \"mc1_stderr\": 0.016451264440068232,\n \"mc2\": 0.4779306640850261,\n\ \ \"mc2_stderr\": 0.015098925727831657\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.7371744277821626,\n \"acc_stderr\": 0.01237092252726201\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.3373768006065201,\n \ \ \"acc_stderr\": 0.013023665136222093\n }\n}\n```" repo_url: https://huggingface.co/lamhieu/ghost-7b-v0.9.0 leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: clementine@hf.co configs: - config_name: harness_arc_challenge_25 data_files: - split: 2024_02_01T17_50_44.669359 path: - '**/details_harness|arc:challenge|25_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2024-02-01T17-50-44.669359.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '**/details_harness|gsm8k|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_02_01T17_50_44.669359 path: - '**/details_harness|hellaswag|10_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-management|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-management|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-02-01T17-50-44.669359.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '**/details_harness|hendrycksTest-anatomy|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '**/details_harness|hendrycksTest-astronomy|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '**/details_harness|hendrycksTest-college_biology|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '**/details_harness|hendrycksTest-college_physics|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '**/details_harness|hendrycksTest-computer_security|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '**/details_harness|hendrycksTest-econometrics|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '**/details_harness|hendrycksTest-global_facts|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '**/details_harness|hendrycksTest-human_aging|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '**/details_harness|hendrycksTest-international_law|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '**/details_harness|hendrycksTest-management|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '**/details_harness|hendrycksTest-marketing|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '**/details_harness|hendrycksTest-nutrition|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '**/details_harness|hendrycksTest-philosophy|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '**/details_harness|hendrycksTest-prehistory|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '**/details_harness|hendrycksTest-professional_law|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '**/details_harness|hendrycksTest-public_relations|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '**/details_harness|hendrycksTest-security_studies|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '**/details_harness|hendrycksTest-sociology|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '**/details_harness|hendrycksTest-virology|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '**/details_harness|hendrycksTest-world_religions|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2024-02-01T17-50-44.669359.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_02_01T17_50_44.669359 path: - '**/details_harness|truthfulqa:mc|0_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2024-02-01T17-50-44.669359.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_02_01T17_50_44.669359 path: - '**/details_harness|winogrande|5_2024-02-01T17-50-44.669359.parquet' - split: latest path: - '**/details_harness|winogrande|5_2024-02-01T17-50-44.669359.parquet' - config_name: results data_files: - split: 2024_02_01T17_50_44.669359 path: - results_2024-02-01T17-50-44.669359.parquet - split: latest path: - results_2024-02-01T17-50-44.669359.parquet --- # Dataset Card for Evaluation run of lamhieu/ghost-7b-v0.9.0  Dataset automatically created during the evaluation run of model [lamhieu/ghost-7b-v0.9.0](https://huggingface.co/lamhieu/ghost-7b-v0.9.0) 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_lamhieu__ghost-7b-v0.9.0", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-02-01T17:50:44.669359](https://huggingface.co/datasets/open-llm-leaderboard/details_lamhieu__ghost-7b-v0.9.0/blob/main/results_2024-02-01T17-50-44.669359.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": 0.5499871299235607, "acc_stderr": 0.03407586587227753, "acc_norm": 0.5544447274332273, "acc_norm_stderr": 0.03478665284686247, "mc1": 0.3292533659730722, "mc1_stderr": 0.016451264440068232, "mc2": 0.4779306640850261, "mc2_stderr": 0.015098925727831657 }, "harness|arc:challenge|25": { "acc": 0.49658703071672355, "acc_stderr": 0.014611050403244077, "acc_norm": 0.5307167235494881, "acc_norm_stderr": 0.014583792546304037 }, "harness|hellaswag|10": { "acc": 0.5758812985461064, "acc_stderr": 0.004931984642695341, "acc_norm": 0.7793268273252341, "acc_norm_stderr": 0.004138529919075824 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.26, "acc_stderr": 0.04408440022768081, "acc_norm": 0.26, "acc_norm_stderr": 0.04408440022768081 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.4962962962962963, "acc_stderr": 0.04319223625811331, "acc_norm": 0.4962962962962963, "acc_norm_stderr": 0.04319223625811331 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.5263157894736842, "acc_stderr": 0.04063302731486671, "acc_norm": 0.5263157894736842, "acc_norm_stderr": 0.04063302731486671 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.55, "acc_stderr": 0.05, "acc_norm": 0.55, "acc_norm_stderr": 0.05 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.630188679245283, "acc_stderr": 0.029711421880107933, "acc_norm": 0.630188679245283, "acc_norm_stderr": 0.029711421880107933 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.5625, "acc_stderr": 0.04148415739394154, "acc_norm": 0.5625, "acc_norm_stderr": 0.04148415739394154 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.44, "acc_stderr": 0.04988876515698589, "acc_norm": 0.44, "acc_norm_stderr": 0.04988876515698589 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.47, "acc_stderr": 0.05016135580465919, "acc_norm": 0.47, "acc_norm_stderr": 0.05016135580465919 }, "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": 0.5722543352601156, "acc_stderr": 0.037724468575180276, "acc_norm": 0.5722543352601156, "acc_norm_stderr": 0.037724468575180276 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.29411764705882354, "acc_stderr": 0.04533838195929776, "acc_norm": 0.29411764705882354, "acc_norm_stderr": 0.04533838195929776 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.67, "acc_stderr": 0.04725815626252607, "acc_norm": 0.67, "acc_norm_stderr": 0.04725815626252607 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.4425531914893617, "acc_stderr": 0.03246956919789958, "acc_norm": 0.4425531914893617, "acc_norm_stderr": 0.03246956919789958 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.40350877192982454, "acc_stderr": 0.046151869625837026, "acc_norm": 0.40350877192982454, "acc_norm_stderr": 0.046151869625837026 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.5172413793103449, "acc_stderr": 0.04164188720169375, "acc_norm": 0.5172413793103449, "acc_norm_stderr": 0.04164188720169375 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.3386243386243386, "acc_stderr": 0.024373197867983046, "acc_norm": 0.3386243386243386, "acc_norm_stderr": 0.024373197867983046 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.36507936507936506, "acc_stderr": 0.04306241259127153, "acc_norm": 0.36507936507936506, "acc_norm_stderr": 0.04306241259127153 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.33, "acc_stderr": 0.04725815626252605, "acc_norm": 0.33, "acc_norm_stderr": 0.04725815626252605 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.6612903225806451, "acc_stderr": 0.02692344605930284, "acc_norm": 0.6612903225806451, "acc_norm_stderr": 0.02692344605930284 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.3842364532019704, "acc_stderr": 0.0342239856565755, "acc_norm": 0.3842364532019704, "acc_norm_stderr": 0.0342239856565755 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.61, "acc_stderr": 0.04902071300001974, "acc_norm": 0.61, "acc_norm_stderr": 0.04902071300001974 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.6848484848484848, "acc_stderr": 0.0362773057502241, "acc_norm": 0.6848484848484848, "acc_norm_stderr": 0.0362773057502241 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.7373737373737373, "acc_stderr": 0.03135305009533086, "acc_norm": 0.7373737373737373, "acc_norm_stderr": 0.03135305009533086 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.7772020725388601, "acc_stderr": 0.03003114797764154, "acc_norm": 0.7772020725388601, "acc_norm_stderr": 0.03003114797764154 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.5051282051282051, "acc_stderr": 0.02534967290683865, "acc_norm": 0.5051282051282051, "acc_norm_stderr": 0.02534967290683865 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.3037037037037037, "acc_stderr": 0.02803792996911499, "acc_norm": 0.3037037037037037, "acc_norm_stderr": 0.02803792996911499 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.5210084033613446, "acc_stderr": 0.03244980849990029, "acc_norm": 0.5210084033613446, "acc_norm_stderr": 0.03244980849990029 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.33112582781456956, "acc_stderr": 0.038425817186598696, "acc_norm": 0.33112582781456956, "acc_norm_stderr": 0.038425817186598696 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.7339449541284404, "acc_stderr": 0.0189460223222256, "acc_norm": 0.7339449541284404, "acc_norm_stderr": 0.0189460223222256 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.5370370370370371, "acc_stderr": 0.03400603625538272, "acc_norm": 0.5370370370370371, "acc_norm_stderr": 0.03400603625538272 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.6911764705882353, "acc_stderr": 0.03242661719827218, "acc_norm": 0.6911764705882353, "acc_norm_stderr": 0.03242661719827218 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.729957805907173, "acc_stderr": 0.028900721906293426, "acc_norm": 0.729957805907173, "acc_norm_stderr": 0.028900721906293426 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.6322869955156951, "acc_stderr": 0.03236198350928276, "acc_norm": 0.6322869955156951, "acc_norm_stderr": 0.03236198350928276 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.6335877862595419, "acc_stderr": 0.04225875451969638, "acc_norm": 0.6335877862595419, "acc_norm_stderr": 0.04225875451969638 }, "harness|hendrycksTest-international_law|5": { "acc": 0.6776859504132231, "acc_stderr": 0.04266416363352168, "acc_norm": 0.6776859504132231, "acc_norm_stderr": 0.04266416363352168 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.6203703703703703, "acc_stderr": 0.04691521224077742, "acc_norm": 0.6203703703703703, "acc_norm_stderr": 0.04691521224077742 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.6319018404907976, "acc_stderr": 0.03789213935838396, "acc_norm": 0.6319018404907976, "acc_norm_stderr": 0.03789213935838396 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.4732142857142857, "acc_stderr": 0.047389751192741546, "acc_norm": 0.4732142857142857, "acc_norm_stderr": 0.047389751192741546 }, "harness|hendrycksTest-management|5": { "acc": 0.7087378640776699, "acc_stderr": 0.044986763205729245, "acc_norm": 0.7087378640776699, "acc_norm_stderr": 0.044986763205729245 }, "harness|hendrycksTest-marketing|5": { "acc": 0.8333333333333334, "acc_stderr": 0.024414947304543674, "acc_norm": 0.8333333333333334, "acc_norm_stderr": 0.024414947304543674 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.59, "acc_stderr": 0.049431107042371025, "acc_norm": 0.59, "acc_norm_stderr": 0.049431107042371025 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.7266922094508301, "acc_stderr": 0.015936681062628556, "acc_norm": 0.7266922094508301, "acc_norm_stderr": 0.015936681062628556 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.6069364161849711, "acc_stderr": 0.026296227915613663, "acc_norm": 0.6069364161849711, "acc_norm_stderr": 0.026296227915613663 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.2860335195530726, "acc_stderr": 0.015113972129062129, "acc_norm": 0.2860335195530726, "acc_norm_stderr": 0.015113972129062129 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.5849673202614379, "acc_stderr": 0.028213504177824093, "acc_norm": 0.5849673202614379, "acc_norm_stderr": 0.028213504177824093 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.6559485530546624, "acc_stderr": 0.026981478043648033, "acc_norm": 0.6559485530546624, "acc_norm_stderr": 0.026981478043648033 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.6111111111111112, "acc_stderr": 0.027125115513166844, "acc_norm": 0.6111111111111112, "acc_norm_stderr": 0.027125115513166844 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.4326241134751773, "acc_stderr": 0.02955545423677885, "acc_norm": 0.4326241134751773, "acc_norm_stderr": 0.02955545423677885 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.378748370273794, "acc_stderr": 0.012389052105003732, "acc_norm": 0.378748370273794, "acc_norm_stderr": 0.012389052105003732 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.5367647058823529, "acc_stderr": 0.030290619180485687, "acc_norm": 0.5367647058823529, "acc_norm_stderr": 0.030290619180485687 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.5571895424836601, "acc_stderr": 0.02009508315457735, "acc_norm": 0.5571895424836601, "acc_norm_stderr": 0.02009508315457735 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.6181818181818182, "acc_stderr": 0.04653429807913508, "acc_norm": 0.6181818181818182, "acc_norm_stderr": 0.04653429807913508 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.5346938775510204, "acc_stderr": 0.03193207024425314, "acc_norm": 0.5346938775510204, "acc_norm_stderr": 0.03193207024425314 }, "harness|hendrycksTest-sociology|5": { "acc": 0.7761194029850746, "acc_stderr": 0.0294752502360172, "acc_norm": 0.7761194029850746, "acc_norm_stderr": 0.0294752502360172 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.72, "acc_stderr": 0.04512608598542128, "acc_norm": 0.72, "acc_norm_stderr": 0.04512608598542128 }, "harness|hendrycksTest-virology|5": { "acc": 0.41566265060240964, "acc_stderr": 0.03836722176598052, "acc_norm": 0.41566265060240964, "acc_norm_stderr": 0.03836722176598052 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.7426900584795322, "acc_stderr": 0.03352799844161865, "acc_norm": 0.7426900584795322, "acc_norm_stderr": 0.03352799844161865 }, "harness|truthfulqa:mc|0": { "mc1": 0.3292533659730722, "mc1_stderr": 0.016451264440068232, "mc2": 0.4779306640850261, "mc2_stderr": 0.015098925727831657 }, "harness|winogrande|5": { "acc": 0.7371744277821626, "acc_stderr": 0.01237092252726201 }, "harness|gsm8k|5": { "acc": 0.3373768006065201, "acc_stderr": 0.013023665136222093 } } ``` ## 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]

AquaV/mil-docs

--- language: - en --- ## What is this? A curated selection of manuals and documents from the US military and other departments. All data was manually scraped from publicly available sources. The PDF's and EPUB files were converted to markdown using the amazing [Marker github repository](https://github.com/VikParuchuri/marker) by Vik Paruchuri. ### Sources: - [United States Army Central Army Repository](https://rdl.train.army.mil/) - [Marines Publications](https://www.marines.mil/News/Publications) - [Federation of American Scientists Intelligence Resource Program](https://irp.fas.org/doddir/index.html)

open-llm-leaderboard/details_xzuyn__LLaMa-2-PeanutButter_v4-7B

--- pretty_name: Evaluation run of xzuyn/LLaMa-2-PeanutButter_v4-7B dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [xzuyn/LLaMa-2-PeanutButter_v4-7B](https://huggingface.co/xzuyn/LLaMa-2-PeanutButter_v4-7B)\ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\ \nThe dataset is composed of 61 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 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_xzuyn__LLaMa-2-PeanutButter_v4-7B\"\ ,\n\t\"harness_truthfulqa_mc_0\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\ \nThese are the [latest results from run 2023-08-29T15:15:59.631802](https://huggingface.co/datasets/open-llm-leaderboard/details_xzuyn__LLaMa-2-PeanutButter_v4-7B/blob/main/results_2023-08-29T15%3A15%3A59.631802.json):\n\ \n```python\n{\n \"all\": {\n \"acc\": 0.4754535953456773,\n \"\ acc_stderr\": 0.03543074449128995,\n \"acc_norm\": 0.4793512530654778,\n\ \ \"acc_norm_stderr\": 0.03541409593269912,\n \"mc1\": 0.26805385556915545,\n\ \ \"mc1_stderr\": 0.015506204722834557,\n \"mc2\": 0.42310904021377665,\n\ \ \"mc2_stderr\": 0.015624011969941223\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.507679180887372,\n \"acc_stderr\": 0.014609667440892567,\n\ \ \"acc_norm\": 0.5486348122866894,\n \"acc_norm_stderr\": 0.014542104569955265\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6188010356502689,\n\ \ \"acc_stderr\": 0.004846886929763466,\n \"acc_norm\": 0.8078072097191794,\n\ \ \"acc_norm_stderr\": 0.003932184843841659\n },\n \"harness|hendrycksTest-abstract_algebra|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-anatomy|5\": {\n \"acc\": 0.45925925925925926,\n\ \ \"acc_stderr\": 0.04304979692464243,\n \"acc_norm\": 0.45925925925925926,\n\ \ \"acc_norm_stderr\": 0.04304979692464243\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.4276315789473684,\n \"acc_stderr\": 0.040260970832965585,\n\ \ \"acc_norm\": 0.4276315789473684,\n \"acc_norm_stderr\": 0.040260970832965585\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.47,\n\ \ \"acc_stderr\": 0.050161355804659205,\n \"acc_norm\": 0.47,\n \ \ \"acc_norm_stderr\": 0.050161355804659205\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.4867924528301887,\n \"acc_stderr\": 0.030762134874500482,\n\ \ \"acc_norm\": 0.4867924528301887,\n \"acc_norm_stderr\": 0.030762134874500482\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.5,\n\ \ \"acc_stderr\": 0.04181210050035455,\n \"acc_norm\": 0.5,\n \ \ \"acc_norm_stderr\": 0.04181210050035455\n },\n \"harness|hendrycksTest-college_chemistry|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_computer_science|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_mathematics|5\"\ : {\n \"acc\": 0.35,\n \"acc_stderr\": 0.0479372485441102,\n \ \ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.0479372485441102\n },\n\ \ \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.43352601156069365,\n\ \ \"acc_stderr\": 0.03778621079092056,\n \"acc_norm\": 0.43352601156069365,\n\ \ \"acc_norm_stderr\": 0.03778621079092056\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.20588235294117646,\n \"acc_stderr\": 0.04023382273617747,\n\ \ \"acc_norm\": 0.20588235294117646,\n \"acc_norm_stderr\": 0.04023382273617747\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.58,\n \"acc_stderr\": 0.04960449637488583,\n \"acc_norm\": 0.58,\n\ \ \"acc_norm_stderr\": 0.04960449637488583\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.42127659574468085,\n \"acc_stderr\": 0.03227834510146267,\n\ \ \"acc_norm\": 0.42127659574468085,\n \"acc_norm_stderr\": 0.03227834510146267\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\": 0.4482758620689655,\n \"acc_stderr\": 0.041443118108781506,\n\ \ \"acc_norm\": 0.4482758620689655,\n \"acc_norm_stderr\": 0.041443118108781506\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.30158730158730157,\n \"acc_stderr\": 0.023636975996101796,\n \"\ acc_norm\": 0.30158730158730157,\n \"acc_norm_stderr\": 0.023636975996101796\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.29365079365079366,\n\ \ \"acc_stderr\": 0.04073524322147126,\n \"acc_norm\": 0.29365079365079366,\n\ \ \"acc_norm_stderr\": 0.04073524322147126\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.31,\n \"acc_stderr\": 0.04648231987117316,\n \ \ \"acc_norm\": 0.31,\n \"acc_norm_stderr\": 0.04648231987117316\n \ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.5032258064516129,\n\ \ \"acc_stderr\": 0.028443414226438316,\n \"acc_norm\": 0.5032258064516129,\n\ \ \"acc_norm_stderr\": 0.028443414226438316\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\ : {\n \"acc\": 0.3694581280788177,\n \"acc_stderr\": 0.03395970381998573,\n\ \ \"acc_norm\": 0.3694581280788177,\n \"acc_norm_stderr\": 0.03395970381998573\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|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-high_school_european_history|5\"\ : {\n \"acc\": 0.6242424242424243,\n \"acc_stderr\": 0.03781887353205982,\n\ \ \"acc_norm\": 0.6242424242424243,\n \"acc_norm_stderr\": 0.03781887353205982\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.5909090909090909,\n \"acc_stderr\": 0.03502975799413007,\n \"\ acc_norm\": 0.5909090909090909,\n \"acc_norm_stderr\": 0.03502975799413007\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.7202072538860104,\n \"acc_stderr\": 0.032396370467357036,\n\ \ \"acc_norm\": 0.7202072538860104,\n \"acc_norm_stderr\": 0.032396370467357036\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.4666666666666667,\n \"acc_stderr\": 0.025294608023986476,\n\ \ \"acc_norm\": 0.4666666666666667,\n \"acc_norm_stderr\": 0.025294608023986476\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.2814814814814815,\n \"acc_stderr\": 0.027420019350945287,\n \ \ \"acc_norm\": 0.2814814814814815,\n \"acc_norm_stderr\": 0.027420019350945287\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.4579831932773109,\n \"acc_stderr\": 0.03236361111951941,\n \ \ \"acc_norm\": 0.4579831932773109,\n \"acc_norm_stderr\": 0.03236361111951941\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.3576158940397351,\n \"acc_stderr\": 0.03913453431177258,\n \"\ acc_norm\": 0.3576158940397351,\n \"acc_norm_stderr\": 0.03913453431177258\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.6385321100917432,\n \"acc_stderr\": 0.020598082009937374,\n \"\ acc_norm\": 0.6385321100917432,\n \"acc_norm_stderr\": 0.020598082009937374\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.375,\n \"acc_stderr\": 0.033016908987210894,\n \"acc_norm\": 0.375,\n\ \ \"acc_norm_stderr\": 0.033016908987210894\n },\n \"harness|hendrycksTest-high_school_us_history|5\"\ : {\n \"acc\": 0.5686274509803921,\n \"acc_stderr\": 0.03476099060501636,\n\ \ \"acc_norm\": 0.5686274509803921,\n \"acc_norm_stderr\": 0.03476099060501636\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.5949367088607594,\n \"acc_stderr\": 0.03195514741370671,\n \ \ \"acc_norm\": 0.5949367088607594,\n \"acc_norm_stderr\": 0.03195514741370671\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.5381165919282511,\n\ \ \"acc_stderr\": 0.03346015011973228,\n \"acc_norm\": 0.5381165919282511,\n\ \ \"acc_norm_stderr\": 0.03346015011973228\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.5114503816793893,\n \"acc_stderr\": 0.043841400240780176,\n\ \ \"acc_norm\": 0.5114503816793893,\n \"acc_norm_stderr\": 0.043841400240780176\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.5619834710743802,\n \"acc_stderr\": 0.04529146804435792,\n \"\ acc_norm\": 0.5619834710743802,\n \"acc_norm_stderr\": 0.04529146804435792\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.4722222222222222,\n\ \ \"acc_stderr\": 0.04826217294139894,\n \"acc_norm\": 0.4722222222222222,\n\ \ \"acc_norm_stderr\": 0.04826217294139894\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.49693251533742333,\n \"acc_stderr\": 0.03928297078179663,\n\ \ \"acc_norm\": 0.49693251533742333,\n \"acc_norm_stderr\": 0.03928297078179663\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\": 0.6019417475728155,\n \"acc_stderr\": 0.04846748253977239,\n\ \ \"acc_norm\": 0.6019417475728155,\n \"acc_norm_stderr\": 0.04846748253977239\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.688034188034188,\n\ \ \"acc_stderr\": 0.030351527323344948,\n \"acc_norm\": 0.688034188034188,\n\ \ \"acc_norm_stderr\": 0.030351527323344948\n },\n \"harness|hendrycksTest-medical_genetics|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-miscellaneous|5\": {\n \"acc\": 0.6155810983397191,\n\ \ \"acc_stderr\": 0.01739568874281962,\n \"acc_norm\": 0.6155810983397191,\n\ \ \"acc_norm_stderr\": 0.01739568874281962\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.476878612716763,\n \"acc_stderr\": 0.026890297881303128,\n\ \ \"acc_norm\": 0.476878612716763,\n \"acc_norm_stderr\": 0.026890297881303128\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.2994413407821229,\n\ \ \"acc_stderr\": 0.015318257745976708,\n \"acc_norm\": 0.2994413407821229,\n\ \ \"acc_norm_stderr\": 0.015318257745976708\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.5261437908496732,\n \"acc_stderr\": 0.028590752958852387,\n\ \ \"acc_norm\": 0.5261437908496732,\n \"acc_norm_stderr\": 0.028590752958852387\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.5787781350482315,\n\ \ \"acc_stderr\": 0.02804339985821063,\n \"acc_norm\": 0.5787781350482315,\n\ \ \"acc_norm_stderr\": 0.02804339985821063\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.5061728395061729,\n \"acc_stderr\": 0.027818623962583295,\n\ \ \"acc_norm\": 0.5061728395061729,\n \"acc_norm_stderr\": 0.027818623962583295\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.3723404255319149,\n \"acc_stderr\": 0.02883892147125146,\n \ \ \"acc_norm\": 0.3723404255319149,\n \"acc_norm_stderr\": 0.02883892147125146\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.36766623207301175,\n\ \ \"acc_stderr\": 0.012314845910071691,\n \"acc_norm\": 0.36766623207301175,\n\ \ \"acc_norm_stderr\": 0.012314845910071691\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.5367647058823529,\n \"acc_stderr\": 0.030290619180485694,\n\ \ \"acc_norm\": 0.5367647058823529,\n \"acc_norm_stderr\": 0.030290619180485694\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.434640522875817,\n \"acc_stderr\": 0.02005426920072646,\n \ \ \"acc_norm\": 0.434640522875817,\n \"acc_norm_stderr\": 0.02005426920072646\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.509090909090909,\n\ \ \"acc_stderr\": 0.04788339768702861,\n \"acc_norm\": 0.509090909090909,\n\ \ \"acc_norm_stderr\": 0.04788339768702861\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.4897959183673469,\n \"acc_stderr\": 0.03200255347893783,\n\ \ \"acc_norm\": 0.4897959183673469,\n \"acc_norm_stderr\": 0.03200255347893783\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.6169154228855721,\n\ \ \"acc_stderr\": 0.0343751933733825,\n \"acc_norm\": 0.6169154228855721,\n\ \ \"acc_norm_stderr\": 0.0343751933733825\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.68,\n \"acc_stderr\": 0.04688261722621504,\n \ \ \"acc_norm\": 0.68,\n \"acc_norm_stderr\": 0.04688261722621504\n \ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.42168674698795183,\n\ \ \"acc_stderr\": 0.03844453181770917,\n \"acc_norm\": 0.42168674698795183,\n\ \ \"acc_norm_stderr\": 0.03844453181770917\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.7076023391812866,\n \"acc_stderr\": 0.03488647713457923,\n\ \ \"acc_norm\": 0.7076023391812866,\n \"acc_norm_stderr\": 0.03488647713457923\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.26805385556915545,\n\ \ \"mc1_stderr\": 0.015506204722834557,\n \"mc2\": 0.42310904021377665,\n\ \ \"mc2_stderr\": 0.015624011969941223\n }\n}\n```" repo_url: https://huggingface.co/xzuyn/LLaMa-2-PeanutButter_v4-7B 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_29T15_15_59.631802 path: - '**/details_harness|arc:challenge|25_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_08_29T15_15_59.631802 path: - '**/details_harness|hellaswag|10_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest data_files: - split: 2023_08_29T15_15_59.631802 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-management|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-management|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-08-29T15:15:59.631802.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '**/details_harness|hendrycksTest-international_law|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '**/details_harness|hendrycksTest-management|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '**/details_harness|hendrycksTest-marketing|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '**/details_harness|hendrycksTest-sociology|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '**/details_harness|hendrycksTest-virology|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_08_29T15_15_59.631802 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2023-08-29T15:15:59.631802.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_08_29T15_15_59.631802 path: - '**/details_harness|truthfulqa:mc|0_2023-08-29T15:15:59.631802.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2023-08-29T15:15:59.631802.parquet' - config_name: results data_files: - split: 2023_08_29T15_15_59.631802 path: - results_2023-08-29T15:15:59.631802.parquet - split: latest path: - results_2023-08-29T15:15:59.631802.parquet --- # Dataset Card for Evaluation run of xzuyn/LLaMa-2-PeanutButter_v4-7B ## Dataset Description - **Homepage:** - **Repository:** https://huggingface.co/xzuyn/LLaMa-2-PeanutButter_v4-7B - **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 [xzuyn/LLaMa-2-PeanutButter_v4-7B](https://huggingface.co/xzuyn/LLaMa-2-PeanutButter_v4-7B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). The dataset is composed of 61 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 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_xzuyn__LLaMa-2-PeanutButter_v4-7B", "harness_truthfulqa_mc_0", split="train") ``` ## Latest results These are the [latest results from run 2023-08-29T15:15:59.631802](https://huggingface.co/datasets/open-llm-leaderboard/details_xzuyn__LLaMa-2-PeanutButter_v4-7B/blob/main/results_2023-08-29T15%3A15%3A59.631802.json): ```python { "all": { "acc": 0.4754535953456773, "acc_stderr": 0.03543074449128995, "acc_norm": 0.4793512530654778, "acc_norm_stderr": 0.03541409593269912, "mc1": 0.26805385556915545, "mc1_stderr": 0.015506204722834557, "mc2": 0.42310904021377665, "mc2_stderr": 0.015624011969941223 }, "harness|arc:challenge|25": { "acc": 0.507679180887372, "acc_stderr": 0.014609667440892567, "acc_norm": 0.5486348122866894, "acc_norm_stderr": 0.014542104569955265 }, "harness|hellaswag|10": { "acc": 0.6188010356502689, "acc_stderr": 0.004846886929763466, "acc_norm": 0.8078072097191794, "acc_norm_stderr": 0.003932184843841659 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.31, "acc_stderr": 0.046482319871173156, "acc_norm": 0.31, "acc_norm_stderr": 0.046482319871173156 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.45925925925925926, "acc_stderr": 0.04304979692464243, "acc_norm": 0.45925925925925926, "acc_norm_stderr": 0.04304979692464243 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.4276315789473684, "acc_stderr": 0.040260970832965585, "acc_norm": 0.4276315789473684, "acc_norm_stderr": 0.040260970832965585 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.47, "acc_stderr": 0.050161355804659205, "acc_norm": 0.47, "acc_norm_stderr": 0.050161355804659205 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.4867924528301887, "acc_stderr": 0.030762134874500482, "acc_norm": 0.4867924528301887, "acc_norm_stderr": 0.030762134874500482 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.5, "acc_stderr": 0.04181210050035455, "acc_norm": 0.5, "acc_norm_stderr": 0.04181210050035455 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.35, "acc_stderr": 0.047937248544110196, "acc_norm": 0.35, "acc_norm_stderr": 0.047937248544110196 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.39, "acc_stderr": 0.04902071300001975, "acc_norm": 0.39, "acc_norm_stderr": 0.04902071300001975 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.35, "acc_stderr": 0.0479372485441102, "acc_norm": 0.35, "acc_norm_stderr": 0.0479372485441102 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.43352601156069365, "acc_stderr": 0.03778621079092056, "acc_norm": 0.43352601156069365, "acc_norm_stderr": 0.03778621079092056 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.20588235294117646, "acc_stderr": 0.04023382273617747, "acc_norm": 0.20588235294117646, "acc_norm_stderr": 0.04023382273617747 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.58, "acc_stderr": 0.04960449637488583, "acc_norm": 0.58, "acc_norm_stderr": 0.04960449637488583 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.42127659574468085, "acc_stderr": 0.03227834510146267, "acc_norm": 0.42127659574468085, "acc_norm_stderr": 0.03227834510146267 }, "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": 0.4482758620689655, "acc_stderr": 0.041443118108781506, "acc_norm": 0.4482758620689655, "acc_norm_stderr": 0.041443118108781506 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.30158730158730157, "acc_stderr": 0.023636975996101796, "acc_norm": 0.30158730158730157, "acc_norm_stderr": 0.023636975996101796 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.29365079365079366, "acc_stderr": 0.04073524322147126, "acc_norm": 0.29365079365079366, "acc_norm_stderr": 0.04073524322147126 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.5032258064516129, "acc_stderr": 0.028443414226438316, "acc_norm": 0.5032258064516129, "acc_norm_stderr": 0.028443414226438316 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.3694581280788177, "acc_stderr": 0.03395970381998573, "acc_norm": 0.3694581280788177, "acc_norm_stderr": 0.03395970381998573 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.42, "acc_stderr": 0.049604496374885836, "acc_norm": 0.42, "acc_norm_stderr": 0.049604496374885836 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.6242424242424243, "acc_stderr": 0.03781887353205982, "acc_norm": 0.6242424242424243, "acc_norm_stderr": 0.03781887353205982 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.5909090909090909, "acc_stderr": 0.03502975799413007, "acc_norm": 0.5909090909090909, "acc_norm_stderr": 0.03502975799413007 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.7202072538860104, "acc_stderr": 0.032396370467357036, "acc_norm": 0.7202072538860104, "acc_norm_stderr": 0.032396370467357036 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.4666666666666667, "acc_stderr": 0.025294608023986476, "acc_norm": 0.4666666666666667, "acc_norm_stderr": 0.025294608023986476 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.2814814814814815, "acc_stderr": 0.027420019350945287, "acc_norm": 0.2814814814814815, "acc_norm_stderr": 0.027420019350945287 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.4579831932773109, "acc_stderr": 0.03236361111951941, "acc_norm": 0.4579831932773109, "acc_norm_stderr": 0.03236361111951941 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.3576158940397351, "acc_stderr": 0.03913453431177258, "acc_norm": 0.3576158940397351, "acc_norm_stderr": 0.03913453431177258 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.6385321100917432, "acc_stderr": 0.020598082009937374, "acc_norm": 0.6385321100917432, "acc_norm_stderr": 0.020598082009937374 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.375, "acc_stderr": 0.033016908987210894, "acc_norm": 0.375, "acc_norm_stderr": 0.033016908987210894 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.5686274509803921, "acc_stderr": 0.03476099060501636, "acc_norm": 0.5686274509803921, "acc_norm_stderr": 0.03476099060501636 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.5949367088607594, "acc_stderr": 0.03195514741370671, "acc_norm": 0.5949367088607594, "acc_norm_stderr": 0.03195514741370671 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.5381165919282511, "acc_stderr": 0.03346015011973228, "acc_norm": 0.5381165919282511, "acc_norm_stderr": 0.03346015011973228 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.5114503816793893, "acc_stderr": 0.043841400240780176, "acc_norm": 0.5114503816793893, "acc_norm_stderr": 0.043841400240780176 }, "harness|hendrycksTest-international_law|5": { "acc": 0.5619834710743802, "acc_stderr": 0.04529146804435792, "acc_norm": 0.5619834710743802, "acc_norm_stderr": 0.04529146804435792 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.4722222222222222, "acc_stderr": 0.04826217294139894, "acc_norm": 0.4722222222222222, "acc_norm_stderr": 0.04826217294139894 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.49693251533742333, "acc_stderr": 0.03928297078179663, "acc_norm": 0.49693251533742333, "acc_norm_stderr": 0.03928297078179663 }, "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": 0.6019417475728155, "acc_stderr": 0.04846748253977239, "acc_norm": 0.6019417475728155, "acc_norm_stderr": 0.04846748253977239 }, "harness|hendrycksTest-marketing|5": { "acc": 0.688034188034188, "acc_stderr": 0.030351527323344948, "acc_norm": 0.688034188034188, "acc_norm_stderr": 0.030351527323344948 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.5, "acc_stderr": 0.050251890762960605, "acc_norm": 0.5, "acc_norm_stderr": 0.050251890762960605 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.6155810983397191, "acc_stderr": 0.01739568874281962, "acc_norm": 0.6155810983397191, "acc_norm_stderr": 0.01739568874281962 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.476878612716763, "acc_stderr": 0.026890297881303128, "acc_norm": 0.476878612716763, "acc_norm_stderr": 0.026890297881303128 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.2994413407821229, "acc_stderr": 0.015318257745976708, "acc_norm": 0.2994413407821229, "acc_norm_stderr": 0.015318257745976708 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.5261437908496732, "acc_stderr": 0.028590752958852387, "acc_norm": 0.5261437908496732, "acc_norm_stderr": 0.028590752958852387 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.5787781350482315, "acc_stderr": 0.02804339985821063, "acc_norm": 0.5787781350482315, "acc_norm_stderr": 0.02804339985821063 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.5061728395061729, "acc_stderr": 0.027818623962583295, "acc_norm": 0.5061728395061729, "acc_norm_stderr": 0.027818623962583295 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.3723404255319149, "acc_stderr": 0.02883892147125146, "acc_norm": 0.3723404255319149, "acc_norm_stderr": 0.02883892147125146 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.36766623207301175, "acc_stderr": 0.012314845910071691, "acc_norm": 0.36766623207301175, "acc_norm_stderr": 0.012314845910071691 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.5367647058823529, "acc_stderr": 0.030290619180485694, "acc_norm": 0.5367647058823529, "acc_norm_stderr": 0.030290619180485694 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.434640522875817, "acc_stderr": 0.02005426920072646, "acc_norm": 0.434640522875817, "acc_norm_stderr": 0.02005426920072646 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.509090909090909, "acc_stderr": 0.04788339768702861, "acc_norm": 0.509090909090909, "acc_norm_stderr": 0.04788339768702861 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.4897959183673469, "acc_stderr": 0.03200255347893783, "acc_norm": 0.4897959183673469, "acc_norm_stderr": 0.03200255347893783 }, "harness|hendrycksTest-sociology|5": { "acc": 0.6169154228855721, "acc_stderr": 0.0343751933733825, "acc_norm": 0.6169154228855721, "acc_norm_stderr": 0.0343751933733825 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.68, "acc_stderr": 0.04688261722621504, "acc_norm": 0.68, "acc_norm_stderr": 0.04688261722621504 }, "harness|hendrycksTest-virology|5": { "acc": 0.42168674698795183, "acc_stderr": 0.03844453181770917, "acc_norm": 0.42168674698795183, "acc_norm_stderr": 0.03844453181770917 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.7076023391812866, "acc_stderr": 0.03488647713457923, "acc_norm": 0.7076023391812866, "acc_norm_stderr": 0.03488647713457923 }, "harness|truthfulqa:mc|0": { "mc1": 0.26805385556915545, "mc1_stderr": 0.015506204722834557, "mc2": 0.42310904021377665, "mc2_stderr": 0.015624011969941223 } } ``` ### 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]

skeskinen/books3_lowgrade_paragraphs

--- dataset_info: features: - name: text dtype: string - name: book dtype: string - name: pos dtype: float64 - name: smog_index dtype: float64 splits: - name: train num_bytes: 6426499179 num_examples: 29542059 download_size: 3274999825 dataset_size: 6426499179 --- # Dataset Card for "books3_lowgrade_paragraphs" the_pile books3, books with smog grade difficulty estimate between 6.6 or and 7.1. Split into paragraphs and filtered out most 'non-paragraphs' like titles, tables of content, etc. For easier books, see books3_basic_paragraphs

tyzhu/squad_qa_wrong_rare_v5_full_recite_ans_sent_last_permute_rerun

--- configs: - config_name: default data_files: - split: train path: data/train-* - split: validation path: data/validation-* dataset_info: features: - name: id dtype: string - name: title dtype: string - name: context dtype: string - name: question dtype: string - name: answers sequence: - name: text dtype: string - name: answer_start dtype: int32 - name: answer dtype: string - name: context_id dtype: string - name: correct_id dtype: string - name: inputs dtype: string - name: targets dtype: string splits: - name: train num_bytes: 7960034.039930323 num_examples: 4778 - name: validation num_bytes: 409972 num_examples: 300 download_size: 1609569 dataset_size: 8370006.039930323 --- # Dataset Card for "squad_qa_wrong_rare_v5_full_recite_ans_sent_last_permute_rerun" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

baixue6269/character-profiles-romance-output

--- dataset_info: features: - name: name dtype: string - name: categories sequence: string - name: personalities sequence: string - name: description dtype: string - name: conversation list: - name: content dtype: string - name: role dtype: string splits: - name: train num_bytes: 103050 num_examples: 10 download_size: 67798 dataset_size: 103050 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "character-profiles-romance-output" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

distilled-from-one-sec-cv12/chunk_24

--- dataset_info: features: - name: logits sequence: float32 - name: mfcc sequence: sequence: float64 splits: - name: train num_bytes: 902826572 num_examples: 175921 download_size: 922576593 dataset_size: 902826572 --- # Dataset Card for "chunk_24" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

liuyanchen1015/MULTI_VALUE_qqp_present_perfect_ever

--- dataset_info: features: - name: question1 dtype: string - name: question2 dtype: string - name: label dtype: int64 - name: idx dtype: int64 - name: value_score dtype: int64 splits: - name: dev num_bytes: 282286 num_examples: 1494 - name: test num_bytes: 2674842 num_examples: 13910 - name: train num_bytes: 2532159 num_examples: 13233 download_size: 3302161 dataset_size: 5489287 --- # Dataset Card for "MULTI_VALUE_qqp_present_perfect_ever" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

acozma/fill50k

--- dataset_info: features: - name: image dtype: image - name: conditioning_image dtype: image - name: text dtype: string splits: - name: train num_bytes: 451820630.0 num_examples: 50000 download_size: 323967497 dataset_size: 451820630.0 --- # Dataset Card for "fill50k" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

open-llm-leaderboard/details_chatty123__mistral_rank8_packing

--- pretty_name: Evaluation run of chatty123/mistral_rank8_packing dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [chatty123/mistral_rank8_packing](https://huggingface.co/chatty123/mistral_rank8_packing)\ \ 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_chatty123__mistral_rank8_packing\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-04-15T17:27:04.020928](https://huggingface.co/datasets/open-llm-leaderboard/details_chatty123__mistral_rank8_packing/blob/main/results_2024-04-15T17-27-04.020928.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\": 0.6033731800666036,\n\ \ \"acc_stderr\": 0.033302568568672614,\n \"acc_norm\": 0.6082618374775105,\n\ \ \"acc_norm_stderr\": 0.03397805840343756,\n \"mc1\": 0.5177478580171359,\n\ \ \"mc1_stderr\": 0.017492470843075356,\n \"mc2\": 0.6730810498532811,\n\ \ \"mc2_stderr\": 0.01524685826294553\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.575938566552901,\n \"acc_stderr\": 0.014441889627464392,\n\ \ \"acc_norm\": 0.6254266211604096,\n \"acc_norm_stderr\": 0.014144193471893454\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6571400119498108,\n\ \ \"acc_stderr\": 0.004736950810617793,\n \"acc_norm\": 0.8477394941246763,\n\ \ \"acc_norm_stderr\": 0.003585389636472376\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ : {\n \"acc\": 0.35,\n \"acc_stderr\": 0.04793724854411021,\n \ \ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.04793724854411021\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\": 0.58,\n\ \ \"acc_stderr\": 0.049604496374885836,\n \"acc_norm\": 0.58,\n \ \ \"acc_norm_stderr\": 0.049604496374885836\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.6754716981132075,\n \"acc_stderr\": 0.02881561571343211,\n\ \ \"acc_norm\": 0.6754716981132075,\n \"acc_norm_stderr\": 0.02881561571343211\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.6597222222222222,\n\ \ \"acc_stderr\": 0.039621355734862175,\n \"acc_norm\": 0.6597222222222222,\n\ \ \"acc_norm_stderr\": 0.039621355734862175\n },\n \"harness|hendrycksTest-college_chemistry|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-college_computer_science|5\": {\n \"acc\"\ : 0.49,\n \"acc_stderr\": 0.05024183937956913,\n \"acc_norm\": 0.49,\n\ \ \"acc_norm_stderr\": 0.05024183937956913\n },\n \"harness|hendrycksTest-college_mathematics|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-college_medicine|5\": {\n \"acc\": 0.5838150289017341,\n\ \ \"acc_stderr\": 0.03758517775404947,\n \"acc_norm\": 0.5838150289017341,\n\ \ \"acc_norm_stderr\": 0.03758517775404947\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\": 0.04512608598542128,\n \"acc_norm\": 0.72,\n\ \ \"acc_norm_stderr\": 0.04512608598542128\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.5148936170212766,\n \"acc_stderr\": 0.03267151848924777,\n\ \ \"acc_norm\": 0.5148936170212766,\n \"acc_norm_stderr\": 0.03267151848924777\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.4298245614035088,\n\ \ \"acc_stderr\": 0.04657047260594963,\n \"acc_norm\": 0.4298245614035088,\n\ \ \"acc_norm_stderr\": 0.04657047260594963\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.5655172413793104,\n \"acc_stderr\": 0.04130740879555497,\n\ \ \"acc_norm\": 0.5655172413793104,\n \"acc_norm_stderr\": 0.04130740879555497\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.38095238095238093,\n \"acc_stderr\": 0.025010749116137605,\n \"\ acc_norm\": 0.38095238095238093,\n \"acc_norm_stderr\": 0.025010749116137605\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\": 0.4,\n \"acc_stderr\": 0.049236596391733084,\n \ \ \"acc_norm\": 0.4,\n \"acc_norm_stderr\": 0.049236596391733084\n \ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.6774193548387096,\n\ \ \"acc_stderr\": 0.026593084516572274,\n \"acc_norm\": 0.6774193548387096,\n\ \ \"acc_norm_stderr\": 0.026593084516572274\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\ : {\n \"acc\": 0.4876847290640394,\n \"acc_stderr\": 0.035169204442208966,\n\ \ \"acc_norm\": 0.4876847290640394,\n \"acc_norm_stderr\": 0.035169204442208966\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.63,\n \"acc_stderr\": 0.04852365870939099,\n \"acc_norm\"\ : 0.63,\n \"acc_norm_stderr\": 0.04852365870939099\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.7212121212121212,\n \"acc_stderr\": 0.03501438706296781,\n\ \ \"acc_norm\": 0.7212121212121212,\n \"acc_norm_stderr\": 0.03501438706296781\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.7474747474747475,\n \"acc_stderr\": 0.030954055470365897,\n \"\ acc_norm\": 0.7474747474747475,\n \"acc_norm_stderr\": 0.030954055470365897\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.844559585492228,\n \"acc_stderr\": 0.026148483469153314,\n\ \ \"acc_norm\": 0.844559585492228,\n \"acc_norm_stderr\": 0.026148483469153314\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.5538461538461539,\n \"acc_stderr\": 0.02520357177302833,\n \ \ \"acc_norm\": 0.5538461538461539,\n \"acc_norm_stderr\": 0.02520357177302833\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.3333333333333333,\n \"acc_stderr\": 0.02874204090394848,\n \ \ \"acc_norm\": 0.3333333333333333,\n \"acc_norm_stderr\": 0.02874204090394848\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.6386554621848739,\n \"acc_stderr\": 0.03120469122515002,\n \ \ \"acc_norm\": 0.6386554621848739,\n \"acc_norm_stderr\": 0.03120469122515002\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.3509933774834437,\n \"acc_stderr\": 0.03896981964257375,\n \"\ acc_norm\": 0.3509933774834437,\n \"acc_norm_stderr\": 0.03896981964257375\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.8,\n \"acc_stderr\": 0.017149858514250955,\n \"acc_norm\": 0.8,\n\ \ \"acc_norm_stderr\": 0.017149858514250955\n },\n \"harness|hendrycksTest-high_school_statistics|5\"\ : {\n \"acc\": 0.4444444444444444,\n \"acc_stderr\": 0.03388857118502326,\n\ \ \"acc_norm\": 0.4444444444444444,\n \"acc_norm_stderr\": 0.03388857118502326\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.7598039215686274,\n \"acc_stderr\": 0.02998373305591361,\n \"\ acc_norm\": 0.7598039215686274,\n \"acc_norm_stderr\": 0.02998373305591361\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\": 0.6278026905829597,\n\ \ \"acc_stderr\": 0.032443052830087304,\n \"acc_norm\": 0.6278026905829597,\n\ \ \"acc_norm_stderr\": 0.032443052830087304\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.6946564885496184,\n \"acc_stderr\": 0.040393149787245605,\n\ \ \"acc_norm\": 0.6946564885496184,\n \"acc_norm_stderr\": 0.040393149787245605\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.7933884297520661,\n \"acc_stderr\": 0.03695980128098824,\n \"\ acc_norm\": 0.7933884297520661,\n \"acc_norm_stderr\": 0.03695980128098824\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7037037037037037,\n\ \ \"acc_stderr\": 0.04414343666854933,\n \"acc_norm\": 0.7037037037037037,\n\ \ \"acc_norm_stderr\": 0.04414343666854933\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.7361963190184049,\n \"acc_stderr\": 0.03462419931615623,\n\ \ \"acc_norm\": 0.7361963190184049,\n \"acc_norm_stderr\": 0.03462419931615623\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.4642857142857143,\n\ \ \"acc_stderr\": 0.04733667890053756,\n \"acc_norm\": 0.4642857142857143,\n\ \ \"acc_norm_stderr\": 0.04733667890053756\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.7475728155339806,\n \"acc_stderr\": 0.04301250399690878,\n\ \ \"acc_norm\": 0.7475728155339806,\n \"acc_norm_stderr\": 0.04301250399690878\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8632478632478633,\n\ \ \"acc_stderr\": 0.022509033937077785,\n \"acc_norm\": 0.8632478632478633,\n\ \ \"acc_norm_stderr\": 0.022509033937077785\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.68,\n \"acc_stderr\": 0.046882617226215034,\n \ \ \"acc_norm\": 0.68,\n \"acc_norm_stderr\": 0.046882617226215034\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.7803320561941252,\n\ \ \"acc_stderr\": 0.014805384478371153,\n \"acc_norm\": 0.7803320561941252,\n\ \ \"acc_norm_stderr\": 0.014805384478371153\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.6647398843930635,\n \"acc_stderr\": 0.02541600377316554,\n\ \ \"acc_norm\": 0.6647398843930635,\n \"acc_norm_stderr\": 0.02541600377316554\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.35083798882681566,\n\ \ \"acc_stderr\": 0.01596103667523097,\n \"acc_norm\": 0.35083798882681566,\n\ \ \"acc_norm_stderr\": 0.01596103667523097\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.6862745098039216,\n \"acc_stderr\": 0.02656892101545714,\n\ \ \"acc_norm\": 0.6862745098039216,\n \"acc_norm_stderr\": 0.02656892101545714\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.6784565916398714,\n\ \ \"acc_stderr\": 0.026527724079528872,\n \"acc_norm\": 0.6784565916398714,\n\ \ \"acc_norm_stderr\": 0.026527724079528872\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.6759259259259259,\n \"acc_stderr\": 0.02604176620271716,\n\ \ \"acc_norm\": 0.6759259259259259,\n \"acc_norm_stderr\": 0.02604176620271716\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.45390070921985815,\n \"acc_stderr\": 0.029700453247291463,\n \ \ \"acc_norm\": 0.45390070921985815,\n \"acc_norm_stderr\": 0.029700453247291463\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.4276401564537158,\n\ \ \"acc_stderr\": 0.012635799922765843,\n \"acc_norm\": 0.4276401564537158,\n\ \ \"acc_norm_stderr\": 0.012635799922765843\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.6029411764705882,\n \"acc_stderr\": 0.02972215209928006,\n\ \ \"acc_norm\": 0.6029411764705882,\n \"acc_norm_stderr\": 0.02972215209928006\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.6062091503267973,\n \"acc_stderr\": 0.01976621199107306,\n \ \ \"acc_norm\": 0.6062091503267973,\n \"acc_norm_stderr\": 0.01976621199107306\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\": 0.7346938775510204,\n \"acc_stderr\": 0.0282638899437846,\n\ \ \"acc_norm\": 0.7346938775510204,\n \"acc_norm_stderr\": 0.0282638899437846\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.7562189054726368,\n\ \ \"acc_stderr\": 0.03036049015401464,\n \"acc_norm\": 0.7562189054726368,\n\ \ \"acc_norm_stderr\": 0.03036049015401464\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.81,\n \"acc_stderr\": 0.039427724440366255,\n \ \ \"acc_norm\": 0.81,\n \"acc_norm_stderr\": 0.039427724440366255\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\": 0.8245614035087719,\n \"acc_stderr\": 0.029170885500727665,\n\ \ \"acc_norm\": 0.8245614035087719,\n \"acc_norm_stderr\": 0.029170885500727665\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.5177478580171359,\n\ \ \"mc1_stderr\": 0.017492470843075356,\n \"mc2\": 0.6730810498532811,\n\ \ \"mc2_stderr\": 0.01524685826294553\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.7679558011049724,\n \"acc_stderr\": 0.011864149691827938\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.3904473085670963,\n \ \ \"acc_stderr\": 0.013437829864668576\n }\n}\n```" repo_url: https://huggingface.co/chatty123/mistral_rank8_packing 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_04_15T17_27_04.020928 path: - '**/details_harness|arc:challenge|25_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2024-04-15T17-27-04.020928.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '**/details_harness|gsm8k|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_04_15T17_27_04.020928 path: - '**/details_harness|hellaswag|10_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-management|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-management|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-04-15T17-27-04.020928.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '**/details_harness|hendrycksTest-anatomy|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '**/details_harness|hendrycksTest-astronomy|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '**/details_harness|hendrycksTest-college_biology|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '**/details_harness|hendrycksTest-college_physics|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '**/details_harness|hendrycksTest-computer_security|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '**/details_harness|hendrycksTest-econometrics|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '**/details_harness|hendrycksTest-global_facts|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '**/details_harness|hendrycksTest-human_aging|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '**/details_harness|hendrycksTest-international_law|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '**/details_harness|hendrycksTest-management|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '**/details_harness|hendrycksTest-marketing|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '**/details_harness|hendrycksTest-nutrition|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '**/details_harness|hendrycksTest-philosophy|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '**/details_harness|hendrycksTest-prehistory|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '**/details_harness|hendrycksTest-professional_law|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '**/details_harness|hendrycksTest-public_relations|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '**/details_harness|hendrycksTest-security_studies|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '**/details_harness|hendrycksTest-sociology|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '**/details_harness|hendrycksTest-virology|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '**/details_harness|hendrycksTest-world_religions|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2024-04-15T17-27-04.020928.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_04_15T17_27_04.020928 path: - '**/details_harness|truthfulqa:mc|0_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2024-04-15T17-27-04.020928.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_04_15T17_27_04.020928 path: - '**/details_harness|winogrande|5_2024-04-15T17-27-04.020928.parquet' - split: latest path: - '**/details_harness|winogrande|5_2024-04-15T17-27-04.020928.parquet' - config_name: results data_files: - split: 2024_04_15T17_27_04.020928 path: - results_2024-04-15T17-27-04.020928.parquet - split: latest path: - results_2024-04-15T17-27-04.020928.parquet --- # Dataset Card for Evaluation run of chatty123/mistral_rank8_packing  Dataset automatically created during the evaluation run of model [chatty123/mistral_rank8_packing](https://huggingface.co/chatty123/mistral_rank8_packing) 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_chatty123__mistral_rank8_packing", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-04-15T17:27:04.020928](https://huggingface.co/datasets/open-llm-leaderboard/details_chatty123__mistral_rank8_packing/blob/main/results_2024-04-15T17-27-04.020928.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": 0.6033731800666036, "acc_stderr": 0.033302568568672614, "acc_norm": 0.6082618374775105, "acc_norm_stderr": 0.03397805840343756, "mc1": 0.5177478580171359, "mc1_stderr": 0.017492470843075356, "mc2": 0.6730810498532811, "mc2_stderr": 0.01524685826294553 }, "harness|arc:challenge|25": { "acc": 0.575938566552901, "acc_stderr": 0.014441889627464392, "acc_norm": 0.6254266211604096, "acc_norm_stderr": 0.014144193471893454 }, "harness|hellaswag|10": { "acc": 0.6571400119498108, "acc_stderr": 0.004736950810617793, "acc_norm": 0.8477394941246763, "acc_norm_stderr": 0.003585389636472376 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.35, "acc_stderr": 0.04793724854411021, "acc_norm": 0.35, "acc_norm_stderr": 0.04793724854411021 }, "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": 0.58, "acc_stderr": 0.049604496374885836, "acc_norm": 0.58, "acc_norm_stderr": 0.049604496374885836 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.6754716981132075, "acc_stderr": 0.02881561571343211, "acc_norm": 0.6754716981132075, "acc_norm_stderr": 0.02881561571343211 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.6597222222222222, "acc_stderr": 0.039621355734862175, "acc_norm": 0.6597222222222222, "acc_norm_stderr": 0.039621355734862175 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.37, "acc_stderr": 0.04852365870939099, "acc_norm": 0.37, "acc_norm_stderr": 0.04852365870939099 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.49, "acc_stderr": 0.05024183937956913, "acc_norm": 0.49, "acc_norm_stderr": 0.05024183937956913 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.37, "acc_stderr": 0.04852365870939099, "acc_norm": 0.37, "acc_norm_stderr": 0.04852365870939099 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.5838150289017341, "acc_stderr": 0.03758517775404947, "acc_norm": 0.5838150289017341, "acc_norm_stderr": 0.03758517775404947 }, "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": 0.04512608598542128, "acc_norm": 0.72, "acc_norm_stderr": 0.04512608598542128 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.5148936170212766, "acc_stderr": 0.03267151848924777, "acc_norm": 0.5148936170212766, "acc_norm_stderr": 0.03267151848924777 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.4298245614035088, "acc_stderr": 0.04657047260594963, "acc_norm": 0.4298245614035088, "acc_norm_stderr": 0.04657047260594963 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.5655172413793104, "acc_stderr": 0.04130740879555497, "acc_norm": 0.5655172413793104, "acc_norm_stderr": 0.04130740879555497 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.38095238095238093, "acc_stderr": 0.025010749116137605, "acc_norm": 0.38095238095238093, "acc_norm_stderr": 0.025010749116137605 }, "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": 0.4, "acc_stderr": 0.049236596391733084, "acc_norm": 0.4, "acc_norm_stderr": 0.049236596391733084 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.6774193548387096, "acc_stderr": 0.026593084516572274, "acc_norm": 0.6774193548387096, "acc_norm_stderr": 0.026593084516572274 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.4876847290640394, "acc_stderr": 0.035169204442208966, "acc_norm": 0.4876847290640394, "acc_norm_stderr": 0.035169204442208966 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.63, "acc_stderr": 0.04852365870939099, "acc_norm": 0.63, "acc_norm_stderr": 0.04852365870939099 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.7212121212121212, "acc_stderr": 0.03501438706296781, "acc_norm": 0.7212121212121212, "acc_norm_stderr": 0.03501438706296781 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.7474747474747475, "acc_stderr": 0.030954055470365897, "acc_norm": 0.7474747474747475, "acc_norm_stderr": 0.030954055470365897 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.844559585492228, "acc_stderr": 0.026148483469153314, "acc_norm": 0.844559585492228, "acc_norm_stderr": 0.026148483469153314 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.5538461538461539, "acc_stderr": 0.02520357177302833, "acc_norm": 0.5538461538461539, "acc_norm_stderr": 0.02520357177302833 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.3333333333333333, "acc_stderr": 0.02874204090394848, "acc_norm": 0.3333333333333333, "acc_norm_stderr": 0.02874204090394848 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.6386554621848739, "acc_stderr": 0.03120469122515002, "acc_norm": 0.6386554621848739, "acc_norm_stderr": 0.03120469122515002 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.3509933774834437, "acc_stderr": 0.03896981964257375, "acc_norm": 0.3509933774834437, "acc_norm_stderr": 0.03896981964257375 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.8, "acc_stderr": 0.017149858514250955, "acc_norm": 0.8, "acc_norm_stderr": 0.017149858514250955 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.4444444444444444, "acc_stderr": 0.03388857118502326, "acc_norm": 0.4444444444444444, "acc_norm_stderr": 0.03388857118502326 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.7598039215686274, "acc_stderr": 0.02998373305591361, "acc_norm": 0.7598039215686274, "acc_norm_stderr": 0.02998373305591361 }, "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": 0.6278026905829597, "acc_stderr": 0.032443052830087304, "acc_norm": 0.6278026905829597, "acc_norm_stderr": 0.032443052830087304 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.6946564885496184, "acc_stderr": 0.040393149787245605, "acc_norm": 0.6946564885496184, "acc_norm_stderr": 0.040393149787245605 }, "harness|hendrycksTest-international_law|5": { "acc": 0.7933884297520661, "acc_stderr": 0.03695980128098824, "acc_norm": 0.7933884297520661, "acc_norm_stderr": 0.03695980128098824 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.7037037037037037, "acc_stderr": 0.04414343666854933, "acc_norm": 0.7037037037037037, "acc_norm_stderr": 0.04414343666854933 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.7361963190184049, "acc_stderr": 0.03462419931615623, "acc_norm": 0.7361963190184049, "acc_norm_stderr": 0.03462419931615623 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.4642857142857143, "acc_stderr": 0.04733667890053756, "acc_norm": 0.4642857142857143, "acc_norm_stderr": 0.04733667890053756 }, "harness|hendrycksTest-management|5": { "acc": 0.7475728155339806, "acc_stderr": 0.04301250399690878, "acc_norm": 0.7475728155339806, "acc_norm_stderr": 0.04301250399690878 }, "harness|hendrycksTest-marketing|5": { "acc": 0.8632478632478633, "acc_stderr": 0.022509033937077785, "acc_norm": 0.8632478632478633, "acc_norm_stderr": 0.022509033937077785 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.68, "acc_stderr": 0.046882617226215034, "acc_norm": 0.68, "acc_norm_stderr": 0.046882617226215034 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.7803320561941252, "acc_stderr": 0.014805384478371153, "acc_norm": 0.7803320561941252, "acc_norm_stderr": 0.014805384478371153 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.6647398843930635, "acc_stderr": 0.02541600377316554, "acc_norm": 0.6647398843930635, "acc_norm_stderr": 0.02541600377316554 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.35083798882681566, "acc_stderr": 0.01596103667523097, "acc_norm": 0.35083798882681566, "acc_norm_stderr": 0.01596103667523097 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.6862745098039216, "acc_stderr": 0.02656892101545714, "acc_norm": 0.6862745098039216, "acc_norm_stderr": 0.02656892101545714 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.6784565916398714, "acc_stderr": 0.026527724079528872, "acc_norm": 0.6784565916398714, "acc_norm_stderr": 0.026527724079528872 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.6759259259259259, "acc_stderr": 0.02604176620271716, "acc_norm": 0.6759259259259259, "acc_norm_stderr": 0.02604176620271716 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.45390070921985815, "acc_stderr": 0.029700453247291463, "acc_norm": 0.45390070921985815, "acc_norm_stderr": 0.029700453247291463 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.4276401564537158, "acc_stderr": 0.012635799922765843, "acc_norm": 0.4276401564537158, "acc_norm_stderr": 0.012635799922765843 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.6029411764705882, "acc_stderr": 0.02972215209928006, "acc_norm": 0.6029411764705882, "acc_norm_stderr": 0.02972215209928006 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.6062091503267973, "acc_stderr": 0.01976621199107306, "acc_norm": 0.6062091503267973, "acc_norm_stderr": 0.01976621199107306 }, "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": 0.7346938775510204, "acc_stderr": 0.0282638899437846, "acc_norm": 0.7346938775510204, "acc_norm_stderr": 0.0282638899437846 }, "harness|hendrycksTest-sociology|5": { "acc": 0.7562189054726368, "acc_stderr": 0.03036049015401464, "acc_norm": 0.7562189054726368, "acc_norm_stderr": 0.03036049015401464 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.81, "acc_stderr": 0.039427724440366255, "acc_norm": 0.81, "acc_norm_stderr": 0.039427724440366255 }, "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": 0.8245614035087719, "acc_stderr": 0.029170885500727665, "acc_norm": 0.8245614035087719, "acc_norm_stderr": 0.029170885500727665 }, "harness|truthfulqa:mc|0": { "mc1": 0.5177478580171359, "mc1_stderr": 0.017492470843075356, "mc2": 0.6730810498532811, "mc2_stderr": 0.01524685826294553 }, "harness|winogrande|5": { "acc": 0.7679558011049724, "acc_stderr": 0.011864149691827938 }, "harness|gsm8k|5": { "acc": 0.3904473085670963, "acc_stderr": 0.013437829864668576 } } ``` ## Dataset Details ### Dataset Description  - **Curated by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] ### Dataset Sources [optional]  - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses  ### Direct Use  [More Information Needed] ### Out-of-Scope Use  [More Information Needed] ## Dataset Structure  [More Information Needed] ## Dataset Creation ### Curation Rationale  [More Information Needed] ### Source Data  #### Data Collection and Processing  [More Information Needed] #### Who are the source data producers?  [More Information Needed] ### Annotations [optional]  #### Annotation process  [More Information Needed] #### Who are the annotators?  [More Information Needed] #### Personal and Sensitive Information  [More Information Needed] ## Bias, Risks, and Limitations  [More Information Needed] ### Recommendations  Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional]  **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional]  [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]

CyberHarem/ashe_leagueoflegends

--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of ashe (League of Legends) This is the dataset of ashe (League of Legends), containing 303 images and their tags. The core tags of this character are `breasts, blue_eyes, large_breasts, long_hair, white_hair`, which are pruned in this dataset. Images are crawled from many sites (e.g. danbooru, pixiv, zerochan ...), the auto-crawling system is powered by [DeepGHS Team](https://github.com/deepghs)([huggingface organization](https://huggingface.co/deepghs)). ## List of Packages | Name | Images | Size | Download | Type | Description | |:-----------------|---------:|:-----------|:----------------------------------------------------------------------------------------------------------------------|:-----------|:---------------------------------------------------------------------| | raw | 303 | 411.44 MiB | [Download](https://huggingface.co/datasets/CyberHarem/ashe_leagueoflegends/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | | 800 | 303 | 243.76 MiB | [Download](https://huggingface.co/datasets/CyberHarem/ashe_leagueoflegends/resolve/main/dataset-800.zip) | IMG+TXT | dataset with the shorter side not exceeding 800 pixels. | | stage3-p480-800 | 689 | 481.61 MiB | [Download](https://huggingface.co/datasets/CyberHarem/ashe_leagueoflegends/resolve/main/dataset-stage3-p480-800.zip) | IMG+TXT | 3-stage cropped dataset with the area not less than 480x480 pixels. | | 1200 | 303 | 364.11 MiB | [Download](https://huggingface.co/datasets/CyberHarem/ashe_leagueoflegends/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. | | stage3-p480-1200 | 689 | 650.35 MiB | [Download](https://huggingface.co/datasets/CyberHarem/ashe_leagueoflegends/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/ashe_leagueoflegends', 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, hetero, sex_from_behind, solo_focus, blush, doggystyle, open_mouth, penis, all_fours, anus, hood, looking_at_viewer, looking_back, cum, hair_between_eyes, nude, uncensored, ass_grab, bangs, vaginal | | 1 | 8 | ![](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) | 1boy, 1girl, hetero, penis, sex, vaginal, solo_focus, uncensored, girl_on_top, nipples, thighhighs, blush, spread_legs, hair_between_eyes, hood, armor, clothed_female_nude_male, cowgirl_position, lipstick, looking_at_viewer, open_mouth, parted_lips, pubic_hair, pussy_juice | | 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, arrow_(projectile), bow_(weapon), solo, cape, hood, thighhighs, cleavage, gloves, armor, green_eyes | | 3 | 8 | ![](samples/3/clu3-sample0.png) | ![](samples/3/clu3-sample1.png) | ![](samples/3/clu3-sample2.png) | ![](samples/3/clu3-sample3.png) | ![](samples/3/clu3-sample4.png) | 1girl, aiming, drawing_bow, holding_arrow, hood, solo, cleavage, thighhighs, cape, gloves, snow, armor, armpits, boots | | 4 | 5 | ![](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, cleavage, hood, navel, parted_lips, solo, looking_at_viewer, stomach, hair_between_eyes, midriff, outdoors, skirt, thighhighs, weapon, black_gloves, elbow_gloves, holding, huge_breasts, shoulder_armor, thick_thighs | | 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) | 1boy, 1girl, hetero, hood, nipples, solo_focus, open_mouth, cum_on_breasts, facial, penis, blush, breasts_squeezed_together, cum_in_mouth, lips, looking_at_viewer, navel, nude, paizuri, pussy, saliva, sweat, tongue_out, uncensored | | 6 | 6 | ![](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, hetero, multiple_penises, double_penetration, nipples, solo_focus, thighhighs, vaginal, 2boys, cum_in_pussy, fellatio, mmf_threesome, testicles, blush, censored, cum_on_body, hood, spitroast, spread_legs | ### Table Version | # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 1boy | 1girl | hetero | sex_from_behind | solo_focus | blush | doggystyle | open_mouth | penis | all_fours | anus | hood | looking_at_viewer | looking_back | cum | hair_between_eyes | nude | uncensored | ass_grab | bangs | vaginal | sex | girl_on_top | nipples | thighhighs | spread_legs | armor | clothed_female_nude_male | cowgirl_position | lipstick | parted_lips | pubic_hair | pussy_juice | arrow_(projectile) | bow_(weapon) | solo | cape | cleavage | gloves | green_eyes | aiming | drawing_bow | holding_arrow | snow | armpits | boots | navel | stomach | midriff | outdoors | skirt | weapon | black_gloves | elbow_gloves | holding | huge_breasts | shoulder_armor | thick_thighs | cum_on_breasts | facial | breasts_squeezed_together | cum_in_mouth | lips | paizuri | pussy | saliva | sweat | tongue_out | multiple_penises | double_penetration | 2boys | cum_in_pussy | fellatio | mmf_threesome | testicles | censored | cum_on_body | spitroast | |----:|----------:|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:--------------------------------|:-------|:--------|:---------|:------------------|:-------------|:--------|:-------------|:-------------|:--------|:------------|:-------|:-------|:--------------------|:---------------|:------|:--------------------|:-------|:-------------|:-----------|:--------|:----------|:------|:--------------|:----------|:-------------|:--------------|:--------|:---------------------------|:-------------------|:-----------|:--------------|:-------------|:--------------|:---------------------|:---------------|:-------|:-------|:-----------|:---------|:-------------|:---------|:--------------|:----------------|:-------|:----------|:--------|:--------|:----------|:----------|:-----------|:--------|:---------|:---------------|:---------------|:----------|:---------------|:-----------------|:---------------|:-----------------|:---------|:----------------------------|:---------------|:-------|:----------|:--------|:---------|:--------|:-------------|:-------------------|:---------------------|:--------|:---------------|:-----------|:----------------|:------------|:-----------|:--------------|:------------| | 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 | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 1 | 8 | ![](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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 3 | 8 | ![](samples/3/clu3-sample0.png) | ![](samples/3/clu3-sample1.png) | ![](samples/3/clu3-sample2.png) | ![](samples/3/clu3-sample3.png) | ![](samples/3/clu3-sample4.png) | | X | | | | | | | | | | X | | | | | | | | | | | | | X | | X | | | | | | | | | X | X | X | X | | X | X | X | X | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 4 | 5 | ![](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 | | | | | | | | | | | | | | | | | | | | | | 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 | X | X | X | | | | | | | | | | | | 6 | 6 | ![](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 |

nvidia/OpenMathInstruct-1

--- license: other license_name: nvidia-license task_categories: - question-answering - text-generation language: - en tags: - math - code - nvidia pretty_name: OpenMathInstruct-1 size_categories: - 1M<n<10M --- # OpenMathInstruct-1 OpenMathInstruct-1 is a math instruction tuning dataset with 1.8M problem-solution pairs generated using permissively licensed [Mixtral-8x7B](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1) model. The problems are from [GSM8K](https://github.com/openai/grade-school-math) and [MATH](https://github.com/hendrycks/math) training subsets and the solutions are synthetically generated by allowing Mixtral model to use a mix of text reasoning and code blocks executed by Python interpreter. The dataset is split into train and validation subsets that we used in the ablations experiments. These two subsets combined together cover the full training set of GSM8K and MATH. OpenMathInstruct-1 dataset contains of the following fields: - **question**: original question from either GSM8K or MATH training set. - **generated_solution**: the synthetically generated solution that uses a mix of text reasoning and code blocks. - **expected_answer**: the ground-truth answer provided in the original dataset. - **predicted_answer**: the answer predicted by Mixtral model in the corresponding solution (extracted from `\boxed{}`). - **error_message**: `<not_executed>` if code was not used. Otherwise it's empty or contains a Python exception from the corresponding code block. A `timeout` string indicates that code block took longer than 10 seconds to execute. In the current dataset version we always stop generation after any error or a timeout. - **is_correct**: whether the final answer was considered correct by our grading script. - **dataset**: gsm8k or math. - **generation_type**: `without_reference_solution` or `masked_reference_solution`. We also release the masked solutions used to produce `generation_type="masked_reference_solution"` portion of the dataset ([GSM8K-Masked](https://huggingface.co/datasets/nvidia/OpenMath-GSM8K-masked), [MATH-Masked](https://huggingface.co/datasets/nvidia/OpenMath-MATH-masked)). See our [paper](https://arxiv.org/abs/2402.10176) to learn more details! ## OpenMath models To demonstrate the quality of this dataset, we release a series of OpenMath models trained on this data (a combination of train and validation splits to allow comparison with prior work). <table border="1"> <tr> <td></td> <td colspan="2" style="text-align: center;">greedy</td> <td colspan="2" style="text-align: center;">majority@50</td> </tr> <tr> <td style="text-align: center;">model</td> <td style="text-align: center;">GSM8K</td> <td style="text-align: center;">MATH</td> <td style="text-align: center;">GMS8K</td> <td style="text-align: center;">MATH</td> </tr> <tr> <td style="text-align: right;">OpenMath-CodeLlama-7B (<a href="https://huggingface.co/nvidia/OpenMath-CodeLlama-7b-Python">nemo</a> | <a href="https://huggingface.co/nvidia/OpenMath-CodeLlama-7b-Python-hf">HF</a>)</td> <td style="text-align: center;">75.9</td> <td style="text-align: center;">43.6</td> <td style="text-align: center;">84.8</td> <td style="text-align: center;">55.6</td> </tr> <tr> <td style="text-align: right;">OpenMath-Mistral-7B (<a href="https://huggingface.co/nvidia/OpenMath-Mistral-7B-v0.1">nemo</a> | <a href="https://huggingface.co/nvidia/OpenMath-Mistral-7B-v0.1-hf">HF</a>)</td> <td style="text-align: center;">80.2</td> <td style="text-align: center;">44.5</td> <td style="text-align: center;">86.9</td> <td style="text-align: center;">57.2</td> </tr> <tr> <td style="text-align: right;">OpenMath-CodeLlama-13B (<a href="https://huggingface.co/nvidia/OpenMath-CodeLlama-13b-Python">nemo</a> | <a href="https://huggingface.co/nvidia/OpenMath-CodeLlama-13b-Python-hf">HF</a>)</td> <td style="text-align: center;">78.8</td> <td style="text-align: center;">45.5</td> <td style="text-align: center;">86.8</td> <td style="text-align: center;">57.6</td> </tr> <tr> <td style="text-align: right;">OpenMath-CodeLlama-34B (<a href="https://huggingface.co/nvidia/OpenMath-CodeLlama-34b-Python">nemo</a> | <a href="https://huggingface.co/nvidia/OpenMath-CodeLlama-34b-Python-hf">HF</a>)</td> <td style="text-align: center;">80.7</td> <td style="text-align: center;">48.3</td> <td style="text-align: center;">88.0</td> <td style="text-align: center;">60.2</td> </tr> <tr> <td style="text-align: right;">OpenMath-Llama2-70B (<a href="https://huggingface.co/nvidia/OpenMath-Llama-2-70b">nemo</a> | <a href="https://huggingface.co/nvidia/OpenMath-Llama-2-70b-hf">HF</a>)</td> <td style="text-align: center;"><b>84.7</b></td> <td style="text-align: center;">46.3</td> <td style="text-align: center;">90.1</td> <td style="text-align: center;">58.3</td> </tr> <tr> <td style="text-align: right;">OpenMath-CodeLlama-70B (<a href="https://huggingface.co/nvidia/OpenMath-CodeLlama-70b-Python">nemo</a> | <a href="https://huggingface.co/nvidia/OpenMath-CodeLlama-70b-Python-hf">HF</a>)</td> <td style="text-align: center;">84.6</td> <td style="text-align: center;"><b>50.7</b></td> <td style="text-align: center;"><b>90.8</b></td> <td style="text-align: center;"><b>60.4</b></td> </tr> </table> The pipeline we used to produce the data and models is fully open-sourced! - [Code](https://github.com/Kipok/NeMo-Skills) - [Models](https://huggingface.co/collections/nvidia/openmath-65c5619de2ba059be0775014) - [Dataset](https://huggingface.co/datasets/nvidia/OpenMathInstruct-1) ## Reproducing our results We provide [all instructions](https://github.com/Kipok/NeMo-Skills/blob/main/docs/reproducing-results.md) to fully reproduce our results, including data generation. ## Generating similar datasets To generate similar datasets for other tasks or to learn more about our code, read through the docs below. - [NeMo-Skills Pipeline](https://github.com/Kipok/NeMo-Skills) - [Generating synthetic data](https://github.com/Kipok/NeMo-Skills/blob/main/docs/synthetic-data-generation.md) - [Finetuning models](https://github.com/Kipok/NeMo-Skills/blob/main/docs/finetuning.md) - [Evaluating models](https://github.com/Kipok/NeMo-Skills/blob/main/docs/evaluation.md) ## Citation If you find our work useful, please consider citing us! ```bibtex @article{toshniwal2024openmath, title = {OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset}, author = {Shubham Toshniwal and Ivan Moshkov and Sean Narenthiran and Daria Gitman and Fei Jia and Igor Gitman}, year = {2024}, journal = {arXiv preprint arXiv: Arxiv-2402.10176} } ``` ## License The use of this dataset is governed by the [NVIDIA License](LICENSE) which permits commercial usage.

Imran1/dogtrainset

--- dataset_info: features: - name: image dtype: image - name: label dtype: class_label: names: '0': Afghan_hound '1': French_bulldog splits: - name: train num_bytes: 26798257.0 num_examples: 398 download_size: 26755684 dataset_size: 26798257.0 configs: - config_name: default data_files: - split: train path: data/train-* ---

ga1asta/breg

--- license: mit ---

open-llm-leaderboard/details_MisterRid__saulgoodman-2x7b-alpha1

--- pretty_name: Evaluation run of MisterRid/saulgoodman-2x7b-alpha1 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [MisterRid/saulgoodman-2x7b-alpha1](https://huggingface.co/MisterRid/saulgoodman-2x7b-alpha1)\ \ 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_MisterRid__saulgoodman-2x7b-alpha1\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-12-20T22:30:24.854096](https://huggingface.co/datasets/open-llm-leaderboard/details_MisterRid__saulgoodman-2x7b-alpha1/blob/main/results_2023-12-20T22-30-24.854096.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\": 0.6511172644532761,\n\ \ \"acc_stderr\": 0.03210282974235949,\n \"acc_norm\": 0.6531681519171342,\n\ \ \"acc_norm_stderr\": 0.032744836386602465,\n \"mc1\": 0.4320685434516524,\n\ \ \"mc1_stderr\": 0.01734120239498826,\n \"mc2\": 0.6006356075996195,\n\ \ \"mc2_stderr\": 0.015505899675520648\n },\n \"harness|arc:challenge|25\"\ : {\n \"acc\": 0.6262798634812287,\n \"acc_stderr\": 0.014137708601759093,\n\ \ \"acc_norm\": 0.6621160409556314,\n \"acc_norm_stderr\": 0.01382204792228351\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6709818761202948,\n\ \ \"acc_stderr\": 0.004688963175758129,\n \"acc_norm\": 0.8536148177653854,\n\ \ \"acc_norm_stderr\": 0.003527695149823515\n },\n \"harness|hendrycksTest-abstract_algebra|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-anatomy|5\": {\n \"acc\": 0.6074074074074074,\n\ \ \"acc_stderr\": 0.0421850621536888,\n \"acc_norm\": 0.6074074074074074,\n\ \ \"acc_norm_stderr\": 0.0421850621536888\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.6907894736842105,\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\": 0.61,\n\ \ \"acc_stderr\": 0.04902071300001975,\n \"acc_norm\": 0.61,\n \ \ \"acc_norm_stderr\": 0.04902071300001975\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.7018867924528301,\n \"acc_stderr\": 0.02815283794249387,\n\ \ \"acc_norm\": 0.7018867924528301,\n \"acc_norm_stderr\": 0.02815283794249387\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\": 0.47,\n \"acc_stderr\": 0.05016135580465919,\n \ \ \"acc_norm\": 0.47,\n \"acc_norm_stderr\": 0.05016135580465919\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\": 0.35,\n \"acc_stderr\": 0.047937248544110175,\n \ \ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.047937248544110175\n \ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.6416184971098265,\n\ \ \"acc_stderr\": 0.036563436533531585,\n \"acc_norm\": 0.6416184971098265,\n\ \ \"acc_norm_stderr\": 0.036563436533531585\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.39215686274509803,\n \"acc_stderr\": 0.048580835742663454,\n\ \ \"acc_norm\": 0.39215686274509803,\n \"acc_norm_stderr\": 0.048580835742663454\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.8,\n \"acc_stderr\": 0.04020151261036845,\n \"acc_norm\": 0.8,\n\ \ \"acc_norm_stderr\": 0.04020151261036845\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.5914893617021276,\n \"acc_stderr\": 0.032134180267015755,\n\ \ \"acc_norm\": 0.5914893617021276,\n \"acc_norm_stderr\": 0.032134180267015755\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.5,\n\ \ \"acc_stderr\": 0.047036043419179864,\n \"acc_norm\": 0.5,\n \ \ \"acc_norm_stderr\": 0.047036043419179864\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.5862068965517241,\n \"acc_stderr\": 0.04104269211806232,\n\ \ \"acc_norm\": 0.5862068965517241,\n \"acc_norm_stderr\": 0.04104269211806232\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.4126984126984127,\n \"acc_stderr\": 0.025355741263055273,\n \"\ acc_norm\": 0.4126984126984127,\n \"acc_norm_stderr\": 0.025355741263055273\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.4523809523809524,\n\ \ \"acc_stderr\": 0.04451807959055328,\n \"acc_norm\": 0.4523809523809524,\n\ \ \"acc_norm_stderr\": 0.04451807959055328\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.4,\n \"acc_stderr\": 0.04923659639173309,\n \ \ \"acc_norm\": 0.4,\n \"acc_norm_stderr\": 0.04923659639173309\n },\n\ \ \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.8096774193548387,\n\ \ \"acc_stderr\": 0.022331707611823078,\n \"acc_norm\": 0.8096774193548387,\n\ \ \"acc_norm_stderr\": 0.022331707611823078\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\ : {\n \"acc\": 0.5320197044334976,\n \"acc_stderr\": 0.03510766597959215,\n\ \ \"acc_norm\": 0.5320197044334976,\n \"acc_norm_stderr\": 0.03510766597959215\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.7,\n \"acc_stderr\": 0.046056618647183814,\n \"acc_norm\"\ : 0.7,\n \"acc_norm_stderr\": 0.046056618647183814\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.7636363636363637,\n \"acc_stderr\": 0.03317505930009181,\n\ \ \"acc_norm\": 0.7636363636363637,\n \"acc_norm_stderr\": 0.03317505930009181\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.7929292929292929,\n \"acc_stderr\": 0.028869778460267042,\n \"\ acc_norm\": 0.7929292929292929,\n \"acc_norm_stderr\": 0.028869778460267042\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.8963730569948186,\n \"acc_stderr\": 0.02199531196364424,\n\ \ \"acc_norm\": 0.8963730569948186,\n \"acc_norm_stderr\": 0.02199531196364424\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.6615384615384615,\n \"acc_stderr\": 0.02399150050031304,\n \ \ \"acc_norm\": 0.6615384615384615,\n \"acc_norm_stderr\": 0.02399150050031304\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.36666666666666664,\n \"acc_stderr\": 0.029381620726465066,\n \ \ \"acc_norm\": 0.36666666666666664,\n \"acc_norm_stderr\": 0.029381620726465066\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.6890756302521008,\n \"acc_stderr\": 0.030066761582977927,\n\ \ \"acc_norm\": 0.6890756302521008,\n \"acc_norm_stderr\": 0.030066761582977927\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.3509933774834437,\n \"acc_stderr\": 0.03896981964257375,\n \"\ acc_norm\": 0.3509933774834437,\n \"acc_norm_stderr\": 0.03896981964257375\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.8458715596330275,\n \"acc_stderr\": 0.015480826865374303,\n \"\ acc_norm\": 0.8458715596330275,\n \"acc_norm_stderr\": 0.015480826865374303\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.5185185185185185,\n \"acc_stderr\": 0.03407632093854051,\n \"\ acc_norm\": 0.5185185185185185,\n \"acc_norm_stderr\": 0.03407632093854051\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.8235294117647058,\n \"acc_stderr\": 0.02675640153807896,\n \"\ acc_norm\": 0.8235294117647058,\n \"acc_norm_stderr\": 0.02675640153807896\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.810126582278481,\n \"acc_stderr\": 0.025530100460233483,\n \ \ \"acc_norm\": 0.810126582278481,\n \"acc_norm_stderr\": 0.025530100460233483\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\": 0.7709923664122137,\n \"acc_stderr\": 0.036853466317118506,\n\ \ \"acc_norm\": 0.7709923664122137,\n \"acc_norm_stderr\": 0.036853466317118506\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.7933884297520661,\n \"acc_stderr\": 0.03695980128098824,\n \"\ acc_norm\": 0.7933884297520661,\n \"acc_norm_stderr\": 0.03695980128098824\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7870370370370371,\n\ \ \"acc_stderr\": 0.0395783547198098,\n \"acc_norm\": 0.7870370370370371,\n\ \ \"acc_norm_stderr\": 0.0395783547198098\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.7668711656441718,\n \"acc_stderr\": 0.0332201579577674,\n\ \ \"acc_norm\": 0.7668711656441718,\n \"acc_norm_stderr\": 0.0332201579577674\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.49107142857142855,\n\ \ \"acc_stderr\": 0.04745033255489123,\n \"acc_norm\": 0.49107142857142855,\n\ \ \"acc_norm_stderr\": 0.04745033255489123\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.7961165048543689,\n \"acc_stderr\": 0.03989139859531771,\n\ \ \"acc_norm\": 0.7961165048543689,\n \"acc_norm_stderr\": 0.03989139859531771\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8717948717948718,\n\ \ \"acc_stderr\": 0.02190190511507333,\n \"acc_norm\": 0.8717948717948718,\n\ \ \"acc_norm_stderr\": 0.02190190511507333\n },\n \"harness|hendrycksTest-medical_genetics|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-miscellaneous|5\": {\n \"acc\": 0.8263090676883781,\n\ \ \"acc_stderr\": 0.013547415658662257,\n \"acc_norm\": 0.8263090676883781,\n\ \ \"acc_norm_stderr\": 0.013547415658662257\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.7196531791907514,\n \"acc_stderr\": 0.02418242749657761,\n\ \ \"acc_norm\": 0.7196531791907514,\n \"acc_norm_stderr\": 0.02418242749657761\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.36089385474860336,\n\ \ \"acc_stderr\": 0.01606229067111047,\n \"acc_norm\": 0.36089385474860336,\n\ \ \"acc_norm_stderr\": 0.01606229067111047\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.7483660130718954,\n \"acc_stderr\": 0.024848018263875192,\n\ \ \"acc_norm\": 0.7483660130718954,\n \"acc_norm_stderr\": 0.024848018263875192\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.7266881028938906,\n\ \ \"acc_stderr\": 0.025311765975426122,\n \"acc_norm\": 0.7266881028938906,\n\ \ \"acc_norm_stderr\": 0.025311765975426122\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.7469135802469136,\n \"acc_stderr\": 0.024191808600713,\n\ \ \"acc_norm\": 0.7469135802469136,\n \"acc_norm_stderr\": 0.024191808600713\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.48226950354609927,\n \"acc_stderr\": 0.02980873964223777,\n \ \ \"acc_norm\": 0.48226950354609927,\n \"acc_norm_stderr\": 0.02980873964223777\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.4511082138200782,\n\ \ \"acc_stderr\": 0.012709037347346233,\n \"acc_norm\": 0.4511082138200782,\n\ \ \"acc_norm_stderr\": 0.012709037347346233\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.7022058823529411,\n \"acc_stderr\": 0.02777829870154544,\n\ \ \"acc_norm\": 0.7022058823529411,\n \"acc_norm_stderr\": 0.02777829870154544\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.6683006535947712,\n \"acc_stderr\": 0.01904748523936038,\n \ \ \"acc_norm\": 0.6683006535947712,\n \"acc_norm_stderr\": 0.01904748523936038\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\": 0.7346938775510204,\n \"acc_stderr\": 0.028263889943784596,\n\ \ \"acc_norm\": 0.7346938775510204,\n \"acc_norm_stderr\": 0.028263889943784596\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8407960199004975,\n\ \ \"acc_stderr\": 0.02587064676616913,\n \"acc_norm\": 0.8407960199004975,\n\ \ \"acc_norm_stderr\": 0.02587064676616913\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\": 0.5240963855421686,\n\ \ \"acc_stderr\": 0.03887971849597264,\n \"acc_norm\": 0.5240963855421686,\n\ \ \"acc_norm_stderr\": 0.03887971849597264\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.8304093567251462,\n \"acc_stderr\": 0.02878210810540171,\n\ \ \"acc_norm\": 0.8304093567251462,\n \"acc_norm_stderr\": 0.02878210810540171\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.4320685434516524,\n\ \ \"mc1_stderr\": 0.01734120239498826,\n \"mc2\": 0.6006356075996195,\n\ \ \"mc2_stderr\": 0.015505899675520648\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.7924230465666929,\n \"acc_stderr\": 0.011398593419386784\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.6072782410917361,\n \ \ \"acc_stderr\": 0.013451745349586576\n }\n}\n```" repo_url: https://huggingface.co/MisterRid/saulgoodman-2x7b-alpha1 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_20T22_30_24.854096 path: - '**/details_harness|arc:challenge|25_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2023-12-20T22-30-24.854096.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '**/details_harness|gsm8k|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_12_20T22_30_24.854096 path: - '**/details_harness|hellaswag|10_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-management|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-management|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-12-20T22-30-24.854096.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '**/details_harness|hendrycksTest-management|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '**/details_harness|hendrycksTest-virology|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2023-12-20T22-30-24.854096.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_12_20T22_30_24.854096 path: - '**/details_harness|truthfulqa:mc|0_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2023-12-20T22-30-24.854096.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_12_20T22_30_24.854096 path: - '**/details_harness|winogrande|5_2023-12-20T22-30-24.854096.parquet' - split: latest path: - '**/details_harness|winogrande|5_2023-12-20T22-30-24.854096.parquet' - config_name: results data_files: - split: 2023_12_20T22_30_24.854096 path: - results_2023-12-20T22-30-24.854096.parquet - split: latest path: - results_2023-12-20T22-30-24.854096.parquet --- # Dataset Card for Evaluation run of MisterRid/saulgoodman-2x7b-alpha1  Dataset automatically created during the evaluation run of model [MisterRid/saulgoodman-2x7b-alpha1](https://huggingface.co/MisterRid/saulgoodman-2x7b-alpha1) 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_MisterRid__saulgoodman-2x7b-alpha1", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-12-20T22:30:24.854096](https://huggingface.co/datasets/open-llm-leaderboard/details_MisterRid__saulgoodman-2x7b-alpha1/blob/main/results_2023-12-20T22-30-24.854096.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": 0.6511172644532761, "acc_stderr": 0.03210282974235949, "acc_norm": 0.6531681519171342, "acc_norm_stderr": 0.032744836386602465, "mc1": 0.4320685434516524, "mc1_stderr": 0.01734120239498826, "mc2": 0.6006356075996195, "mc2_stderr": 0.015505899675520648 }, "harness|arc:challenge|25": { "acc": 0.6262798634812287, "acc_stderr": 0.014137708601759093, "acc_norm": 0.6621160409556314, "acc_norm_stderr": 0.01382204792228351 }, "harness|hellaswag|10": { "acc": 0.6709818761202948, "acc_stderr": 0.004688963175758129, "acc_norm": 0.8536148177653854, "acc_norm_stderr": 0.003527695149823515 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.37, "acc_stderr": 0.04852365870939099, "acc_norm": 0.37, "acc_norm_stderr": 0.04852365870939099 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.6074074074074074, "acc_stderr": 0.0421850621536888, "acc_norm": 0.6074074074074074, "acc_norm_stderr": 0.0421850621536888 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.6907894736842105, "acc_stderr": 0.037610708698674805, "acc_norm": 0.6907894736842105, "acc_norm_stderr": 0.037610708698674805 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.61, "acc_stderr": 0.04902071300001975, "acc_norm": 0.61, "acc_norm_stderr": 0.04902071300001975 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.7018867924528301, "acc_stderr": 0.02815283794249387, "acc_norm": 0.7018867924528301, "acc_norm_stderr": 0.02815283794249387 }, "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": 0.47, "acc_stderr": 0.05016135580465919, "acc_norm": 0.47, "acc_norm_stderr": 0.05016135580465919 }, "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": 0.35, "acc_stderr": 0.047937248544110175, "acc_norm": 0.35, "acc_norm_stderr": 0.047937248544110175 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.6416184971098265, "acc_stderr": 0.036563436533531585, "acc_norm": 0.6416184971098265, "acc_norm_stderr": 0.036563436533531585 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.39215686274509803, "acc_stderr": 0.048580835742663454, "acc_norm": 0.39215686274509803, "acc_norm_stderr": 0.048580835742663454 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.8, "acc_stderr": 0.04020151261036845, "acc_norm": 0.8, "acc_norm_stderr": 0.04020151261036845 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.5914893617021276, "acc_stderr": 0.032134180267015755, "acc_norm": 0.5914893617021276, "acc_norm_stderr": 0.032134180267015755 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.5, "acc_stderr": 0.047036043419179864, "acc_norm": 0.5, "acc_norm_stderr": 0.047036043419179864 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.5862068965517241, "acc_stderr": 0.04104269211806232, "acc_norm": 0.5862068965517241, "acc_norm_stderr": 0.04104269211806232 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.4126984126984127, "acc_stderr": 0.025355741263055273, "acc_norm": 0.4126984126984127, "acc_norm_stderr": 0.025355741263055273 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.4523809523809524, "acc_stderr": 0.04451807959055328, "acc_norm": 0.4523809523809524, "acc_norm_stderr": 0.04451807959055328 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.4, "acc_stderr": 0.04923659639173309, "acc_norm": 0.4, "acc_norm_stderr": 0.04923659639173309 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.8096774193548387, "acc_stderr": 0.022331707611823078, "acc_norm": 0.8096774193548387, "acc_norm_stderr": 0.022331707611823078 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.5320197044334976, "acc_stderr": 0.03510766597959215, "acc_norm": 0.5320197044334976, "acc_norm_stderr": 0.03510766597959215 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.7, "acc_stderr": 0.046056618647183814, "acc_norm": 0.7, "acc_norm_stderr": 0.046056618647183814 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.7636363636363637, "acc_stderr": 0.03317505930009181, "acc_norm": 0.7636363636363637, "acc_norm_stderr": 0.03317505930009181 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.7929292929292929, "acc_stderr": 0.028869778460267042, "acc_norm": 0.7929292929292929, "acc_norm_stderr": 0.028869778460267042 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.8963730569948186, "acc_stderr": 0.02199531196364424, "acc_norm": 0.8963730569948186, "acc_norm_stderr": 0.02199531196364424 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.6615384615384615, "acc_stderr": 0.02399150050031304, "acc_norm": 0.6615384615384615, "acc_norm_stderr": 0.02399150050031304 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.36666666666666664, "acc_stderr": 0.029381620726465066, "acc_norm": 0.36666666666666664, "acc_norm_stderr": 0.029381620726465066 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.6890756302521008, "acc_stderr": 0.030066761582977927, "acc_norm": 0.6890756302521008, "acc_norm_stderr": 0.030066761582977927 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.3509933774834437, "acc_stderr": 0.03896981964257375, "acc_norm": 0.3509933774834437, "acc_norm_stderr": 0.03896981964257375 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.8458715596330275, "acc_stderr": 0.015480826865374303, "acc_norm": 0.8458715596330275, "acc_norm_stderr": 0.015480826865374303 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.5185185185185185, "acc_stderr": 0.03407632093854051, "acc_norm": 0.5185185185185185, "acc_norm_stderr": 0.03407632093854051 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.8235294117647058, "acc_stderr": 0.02675640153807896, "acc_norm": 0.8235294117647058, "acc_norm_stderr": 0.02675640153807896 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.810126582278481, "acc_stderr": 0.025530100460233483, "acc_norm": 0.810126582278481, "acc_norm_stderr": 0.025530100460233483 }, "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": 0.7709923664122137, "acc_stderr": 0.036853466317118506, "acc_norm": 0.7709923664122137, "acc_norm_stderr": 0.036853466317118506 }, "harness|hendrycksTest-international_law|5": { "acc": 0.7933884297520661, "acc_stderr": 0.03695980128098824, "acc_norm": 0.7933884297520661, "acc_norm_stderr": 0.03695980128098824 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.7870370370370371, "acc_stderr": 0.0395783547198098, "acc_norm": 0.7870370370370371, "acc_norm_stderr": 0.0395783547198098 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.7668711656441718, "acc_stderr": 0.0332201579577674, "acc_norm": 0.7668711656441718, "acc_norm_stderr": 0.0332201579577674 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.49107142857142855, "acc_stderr": 0.04745033255489123, "acc_norm": 0.49107142857142855, "acc_norm_stderr": 0.04745033255489123 }, "harness|hendrycksTest-management|5": { "acc": 0.7961165048543689, "acc_stderr": 0.03989139859531771, "acc_norm": 0.7961165048543689, "acc_norm_stderr": 0.03989139859531771 }, "harness|hendrycksTest-marketing|5": { "acc": 0.8717948717948718, "acc_stderr": 0.02190190511507333, "acc_norm": 0.8717948717948718, "acc_norm_stderr": 0.02190190511507333 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.73, "acc_stderr": 0.0446196043338474, "acc_norm": 0.73, "acc_norm_stderr": 0.0446196043338474 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.8263090676883781, "acc_stderr": 0.013547415658662257, "acc_norm": 0.8263090676883781, "acc_norm_stderr": 0.013547415658662257 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.7196531791907514, "acc_stderr": 0.02418242749657761, "acc_norm": 0.7196531791907514, "acc_norm_stderr": 0.02418242749657761 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.36089385474860336, "acc_stderr": 0.01606229067111047, "acc_norm": 0.36089385474860336, "acc_norm_stderr": 0.01606229067111047 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.7483660130718954, "acc_stderr": 0.024848018263875192, "acc_norm": 0.7483660130718954, "acc_norm_stderr": 0.024848018263875192 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.7266881028938906, "acc_stderr": 0.025311765975426122, "acc_norm": 0.7266881028938906, "acc_norm_stderr": 0.025311765975426122 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.7469135802469136, "acc_stderr": 0.024191808600713, "acc_norm": 0.7469135802469136, "acc_norm_stderr": 0.024191808600713 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.48226950354609927, "acc_stderr": 0.02980873964223777, "acc_norm": 0.48226950354609927, "acc_norm_stderr": 0.02980873964223777 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.4511082138200782, "acc_stderr": 0.012709037347346233, "acc_norm": 0.4511082138200782, "acc_norm_stderr": 0.012709037347346233 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.7022058823529411, "acc_stderr": 0.02777829870154544, "acc_norm": 0.7022058823529411, "acc_norm_stderr": 0.02777829870154544 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.6683006535947712, "acc_stderr": 0.01904748523936038, "acc_norm": 0.6683006535947712, "acc_norm_stderr": 0.01904748523936038 }, "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": 0.7346938775510204, "acc_stderr": 0.028263889943784596, "acc_norm": 0.7346938775510204, "acc_norm_stderr": 0.028263889943784596 }, "harness|hendrycksTest-sociology|5": { "acc": 0.8407960199004975, "acc_stderr": 0.02587064676616913, "acc_norm": 0.8407960199004975, "acc_norm_stderr": 0.02587064676616913 }, "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": 0.5240963855421686, "acc_stderr": 0.03887971849597264, "acc_norm": 0.5240963855421686, "acc_norm_stderr": 0.03887971849597264 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.8304093567251462, "acc_stderr": 0.02878210810540171, "acc_norm": 0.8304093567251462, "acc_norm_stderr": 0.02878210810540171 }, "harness|truthfulqa:mc|0": { "mc1": 0.4320685434516524, "mc1_stderr": 0.01734120239498826, "mc2": 0.6006356075996195, "mc2_stderr": 0.015505899675520648 }, "harness|winogrande|5": { "acc": 0.7924230465666929, "acc_stderr": 0.011398593419386784 }, "harness|gsm8k|5": { "acc": 0.6072782410917361, "acc_stderr": 0.013451745349586576 } } ``` ## 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]

mmakipaa/shs_descriptions

--- language: - en license: - cc-by-4.0 pretty_name: Social and Health Care Service Descriptions --- # Social and Health Care Service Descriptions This repository hosts a dataset of service descriptions for social and health care services provided by the city of Helsinki. The data is sourced from the *TPR Service Description Register REST API* (see [here](https://www.hel.fi/palvelukarttaws/restpages/palvelurekisteri_en.html) for more details). The service descriptions are shared under a Creative Commons 4.0 BY license, explicitly permitting data sharing and remixing. ## Dataset Construction The dataset was constructed by fetching service descriptions from the REST API. The query targeted services under the `SOCIAL_AND_HEALTH_SERVICES` main theme and returned 361 services with English language descriptions. ```python url = 'https://www.hel.fi/palvelukarttaws/rest/vpalvelurekisteri/description/' params = {'maintheme': 'SOCIAL_AND_HEALTH_SERVICES', 'alldata': 'yes', 'language': 'en'} ``` Each service description may link to additional errand services. The additional 64 errand service descriptions of linked services were also retrieved: ```python for shs in shs_json: errand_services_list += shs['exact_errand_services'] errand_service_set = set(errand_services_list) for errand_service_id in errand_service_set: url = 'https://www.hel.fi/palvelukarttaws/rest/vpalvelurekisteri/errandservice/' + str(errand_service_id) params = {'language': 'en', 'alldata': 'yes'} ``` ## Dataset contents The dataset is comprised of two files: 1. `shs_descriptions.json.gz`: This file combines the JSON service descriptions returned by the API, the text descriptions, and the text embeddings into a single JSON file. 2. `chroma.sqlite3`: This is a Chroma DB file that uses the text embeddings to index the service text descriptions. ### Service Descriptions The service descriptions are provided in JSON format as returned by the API. ### Text desciptions Text descriptions combine service information from the JSON description and linked errand services into a single description for each service. The descriptions have been refined, with relevant fields selected and additional processing performed on e.g. target groups and contact channels associated with the services. ### Text Embeddings Embeddings of the text descriptions have been created using OpenAI's `text-embedding-ada-002` model.

AlekseyKorshuk/PIPPA-lmgym

--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: input_text dtype: string - name: output_text dtype: string splits: - name: train num_bytes: 32569932093 num_examples: 398603 download_size: 443538444 dataset_size: 32569932093 --- # Dataset Card for "PIPPA-lmgym" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

CyberHarem/hinatsuki_mikan_thedemongirlnextdoor

--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of Hinatsuki Mikan This is the dataset of Hinatsuki Mikan, containing 291 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)). | Name | Images | Download | Description | |:------------|---------:|:------------------------------------|:-------------------------------------------------------------------------| | raw | 291 | [Download](dataset-raw.zip) | Raw data with meta information. | | raw-stage3 | 700 | [Download](dataset-raw-stage3.zip) | 3-stage cropped raw data with meta information. | | 384x512 | 291 | [Download](dataset-384x512.zip) | 384x512 aligned dataset. | | 512x512 | 291 | [Download](dataset-512x512.zip) | 512x512 aligned dataset. | | 512x704 | 291 | [Download](dataset-512x704.zip) | 512x704 aligned dataset. | | 640x640 | 291 | [Download](dataset-640x640.zip) | 640x640 aligned dataset. | | 640x880 | 291 | [Download](dataset-640x880.zip) | 640x880 aligned dataset. | | stage3-640 | 700 | [Download](dataset-stage3-640.zip) | 3-stage cropped dataset with the shorter side not exceeding 640 pixels. | | stage3-800 | 700 | [Download](dataset-stage3-800.zip) | 3-stage cropped dataset with the shorter side not exceeding 800 pixels. | | stage3-1200 | 700 | [Download](dataset-stage3-1200.zip) | 3-stage cropped dataset with the shorter side not exceeding 1200 pixels. |

jilp00/YouToks-Instruct-Quantum-Physics-I

--- dataset_info: features: - name: text dtype: string - name: token_count dtype: int64 - name: response dtype: string - name: system_prompt dtype: string - name: question dtype: string - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 2291867 num_examples: 942 download_size: 1118705 dataset_size: 2291867 configs: - config_name: default data_files: - split: train path: data/train-* ---

arbitropy/phi-ft-coqa-format

--- dataset_info: features: - name: prompt dtype: string splits: - name: train num_bytes: 225741 num_examples: 89 download_size: 47383 dataset_size: 225741 configs: - config_name: default data_files: - split: train path: data/train-* ---

autoevaluate/autoeval-staging-eval-project-7a996eab-fd9f-4453-b298-d76d6134fbe7-111108

--- type: predictions tags: - autotrain - evaluation datasets: - glue eval_info: task: binary_classification model: autoevaluate/binary-classification metrics: ['matthews_correlation'] dataset_name: glue dataset_config: sst2 dataset_split: validation col_mapping: text: sentence target: label --- # Dataset Card for AutoTrain Evaluator This repository contains model predictions generated by [AutoTrain](https://huggingface.co/autotrain) for the following task and dataset: * Task: Binary Text Classification * Model: autoevaluate/binary-classification * Dataset: glue * Config: sst2 * Split: validation 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.

harishvs/ecommerce-faq-llama2-QA

--- language: - en license: apache-2.0 size_categories: - n<1K task_categories: - question-answering dataset_info: features: - name: instruction dtype: string - name: context dtype: string - name: response dtype: string - name: category dtype: string splits: - name: train num_bytes: 118516 num_examples: 78 download_size: 33845 dataset_size: 118516 configs: - config_name: default data_files: - split: train path: data/train-* ---

SEACrowd/code_mixed_jv_id

--- tags: - sentiment-analysis - machine-translation language: - jav - ind --- # code_mixed_jv_id Sentiment analysis and machine translation data for Javanese and Indonesian. ## Dataset Usage Run `pip install nusacrowd` before loading the dataset through HuggingFace's `load_dataset`. ## Citation ``` @article{Tho_2021, doi = {10.1088/1742-6596/1869/1/012084}, url = {https://doi.org/10.1088/1742-6596/1869/1/012084}, year = 2021, month = {apr}, publisher = {{IOP} Publishing}, volume = {1869}, number = {1}, pages = {012084}, author = {C Tho and Y Heryadi and L Lukas and A Wibowo}, title = {Code-mixed sentiment analysis of Indonesian language and Javanese language using Lexicon based approach}, journal = {Journal of Physics: Conference Series}, abstract = {Nowadays mixing one language with another language either in spoken or written communication has become a common practice for bilingual speakers in daily conversation as well as in social media. Lexicon based approach is one of the approaches in extracting the sentiment analysis. This study is aimed to compare two lexicon models which are SentiNetWord and VADER in extracting the polarity of the code-mixed sentences in Indonesian language and Javanese language. 3,963 tweets were gathered from two accounts that provide code-mixed tweets. Pre-processing such as removing duplicates, translating to English, filter special characters, transform lower case and filter stop words were conducted on the tweets. Positive and negative word score from lexicon model was then calculated using simple mathematic formula in order to classify the polarity. By comparing with the manual labelling, the result showed that SentiNetWord perform better than VADER in negative sentiments. However, both of the lexicon model did not perform well in neutral and positive sentiments. On overall performance, VADER showed better performance than SentiNetWord. This study showed that the reason for the misclassified was that most of Indonesian language and Javanese language consist of words that were considered as positive in both Lexicon model.} } ``` ## License cc_by_3.0 ## Homepage [https://iopscience.iop.org/article/10.1088/1742-6596/1869/1/012084](https://iopscience.iop.org/article/10.1088/1742-6596/1869/1/012084) ### NusaCatalogue For easy indexing and metadata: [https://indonlp.github.io/nusa-catalogue](https://indonlp.github.io/nusa-catalogue)

CyberHarem/nakano_nino_gotoubunnohanayome

--- license: mit task_categories: - text-to-image tags: - art - not-for-all-audiences size_categories: - n<1K --- # Dataset of Nakano Nino/中野二乃/长发二乃 (Gotoubun no Hanayome) This is the dataset of Nakano Nino/中野二乃/长发二乃 (Gotoubun no Hanayome), containing 537 images and their tags. The core tags of this character are `pink_hair, blunt_bangs, hair_ornament, ribbon, butterfly_hair_ornament, black_ribbon, hair_ribbon, blue_eyes, two_side_up, long_hair, breasts, short_hair, red_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 | 537 | 380.21 MiB | [Download](https://huggingface.co/datasets/CyberHarem/nakano_nino_gotoubunnohanayome/resolve/main/dataset-raw.zip) | Waifuc-Raw | Raw data with meta information (min edge aligned to 1400 if larger). | | 1200 | 537 | 364.76 MiB | [Download](https://huggingface.co/datasets/CyberHarem/nakano_nino_gotoubunnohanayome/resolve/main/dataset-1200.zip) | IMG+TXT | dataset with the shorter side not exceeding 1200 pixels. | | stage3-p480-1200 | 1117 | 687.09 MiB | [Download](https://huggingface.co/datasets/CyberHarem/nakano_nino_gotoubunnohanayome/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/nakano_nino_gotoubunnohanayome', 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) | 2girls, sisters, blush, open_mouth, solo_focus | | 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) | 2girls, blush, sisters, closed_mouth, shirt, looking_at_another, medium_hair, brown_hair, close-up, from_side, sweater, upper_body, yuri | | 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_cardigan, closed_mouth, open_cardigan, white_shirt, blush, indoors, large_breasts, medium_hair, school_uniform, collared_shirt, frown, upper_body, v-shaped_eyebrows, eyebrows_hidden_by_hair, sweatdrop, 1boy, blurry, collarbone, solo_focus | | 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, black_cardigan, blush, closed_mouth, from_side, school_uniform, solo, white_shirt, green_skirt, large_breasts, open_cardigan, profile, sleeves_past_wrists, sweatdrop | | 4 | 13 | ![](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_cardigan, white_shirt, blush, solo, collared_shirt, looking_at_viewer, medium_hair, eyebrows_hidden_by_hair, open_cardigan, v-shaped_eyebrows, parody, closed_mouth, frown, open_mouth, school_uniform, sweatdrop | | 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, closed_eyes, closed_mouth, collared_shirt, medium_hair, solo, white_shirt, indoors, parody, portrait, black_cardigan, blurry_background, facing_viewer, school_uniform, close-up, frown, sweatdrop | | 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) | 1girl, collared_shirt, green_skirt, open_cardigan, pleated_skirt, school_uniform, solo, very_long_hair, white_shirt, white_thighhighs, zettai_ryouiki, black_cardigan, blush, closed_eyes, closed_mouth, dress_shirt, indoors, long_sleeves, bag, large_breasts, standing, frown, sitting, thighs, v-shaped_eyebrows | | 7 | 5 | ![](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, blush, closed_mouth, solo, white_shirt, indoors, collared_shirt, frown, looking_at_viewer, large_breasts, medium_hair, upper_body | | 8 | 10 | ![](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, closed_mouth, solo, from_side, frown, profile, portrait, close-up | | 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, solo, blush, open_mouth, portrait, looking_at_viewer, close-up, parody, teeth, v-shaped_eyebrows | | 10 | 6 | ![](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, close-up, solo, blurry_background, blush, indoors, looking_at_viewer, closed_mouth, eyebrows_hidden_by_hair, portrait, white_shirt | | 11 | 18 | ![](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, blush, white_shirt, forest, outdoors, night, frills, very_long_hair, large_breasts, skirt, solo, smile, long_sleeves, tree, from_side | | 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, blush, frown, ponytail, sidelocks, alternate_hairstyle, black_shirt, closed_mouth, collarbone, eyebrows_hidden_by_hair, looking_at_viewer, purple_eyes, straight_hair, upper_body, v-shaped_eyebrows, solo | | 13 | 5 | ![](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, blush, closed_mouth, large_breasts, smile, sweater, upper_body, arms_under_breasts, crossed_arms, nail_polish, solo, apron, dress, shirt | | 14 | 16 | ![](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, 1boy, large_breasts, naked_towel, cleavage, collarbone, white_shirt, open_mouth, black_hair, looking_at_another, very_long_hair, hetero, nail_polish | | 15 | 11 | ![](samples/15/clu15-sample0.png) | ![](samples/15/clu15-sample1.png) | ![](samples/15/clu15-sample2.png) | ![](samples/15/clu15-sample3.png) | ![](samples/15/clu15-sample4.png) | 1girl, purple_kimono, yukata, blush, obi, solo_focus, holding, open_mouth, purple_eyes, outdoors, 1boy, closed_mouth, multiple_girls, night, smile, summer_festival, very_long_hair, wide_sleeves | | 16 | 7 | ![](samples/16/clu16-sample0.png) | ![](samples/16/clu16-sample1.png) | ![](samples/16/clu16-sample2.png) | ![](samples/16/clu16-sample3.png) | ![](samples/16/clu16-sample4.png) | 1girl, indoors, track_jacket, track_pants, sitting, open_mouth, red_pants, red_track_suit, from_side, sandals, red_jacket | ### Table Version | # | Samples | Img-1 | Img-2 | Img-3 | Img-4 | Img-5 | 2girls | sisters | blush | open_mouth | solo_focus | closed_mouth | shirt | looking_at_another | medium_hair | brown_hair | close-up | from_side | sweater | upper_body | yuri | 1girl | black_cardigan | open_cardigan | white_shirt | indoors | large_breasts | school_uniform | collared_shirt | frown | v-shaped_eyebrows | eyebrows_hidden_by_hair | sweatdrop | 1boy | blurry | collarbone | solo | green_skirt | profile | sleeves_past_wrists | looking_at_viewer | parody | closed_eyes | portrait | blurry_background | facing_viewer | pleated_skirt | very_long_hair | white_thighhighs | zettai_ryouiki | dress_shirt | long_sleeves | bag | standing | sitting | thighs | teeth | forest | outdoors | night | frills | skirt | smile | tree | ponytail | sidelocks | alternate_hairstyle | black_shirt | purple_eyes | straight_hair | arms_under_breasts | crossed_arms | nail_polish | apron | dress | naked_towel | cleavage | black_hair | hetero | purple_kimono | yukata | obi | holding | multiple_girls | summer_festival | wide_sleeves | track_jacket | track_pants | red_pants | red_track_suit | sandals | red_jacket | |----:|----------:|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:----------------------------------|:---------|:----------|:--------|:-------------|:-------------|:---------------|:--------|:---------------------|:--------------|:-------------|:-----------|:------------|:----------|:-------------|:-------|:--------|:-----------------|:----------------|:--------------|:----------|:----------------|:-----------------|:-----------------|:--------|:--------------------|:--------------------------|:------------|:-------|:---------|:-------------|:-------|:--------------|:----------|:----------------------|:--------------------|:---------|:--------------|:-----------|:--------------------|:----------------|:----------------|:-----------------|:-------------------|:-----------------|:--------------|:---------------|:------|:-----------|:----------|:---------|:--------|:---------|:-----------|:--------|:---------|:--------|:--------|:-------|:-----------|:------------|:----------------------|:--------------|:--------------|:----------------|:---------------------|:---------------|:--------------|:--------|:--------|:--------------|:-----------|:-------------|:---------|:----------------|:---------|:------|:----------|:-----------------|:------------------|:---------------|:---------------|:--------------|:------------|:-----------------|:----------|:-------------| | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 4 | 13 | ![](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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 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 | X | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 7 | 5 | ![](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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 8 | 10 | ![](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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 10 | 6 | ![](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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 11 | 18 | ![](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 | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | 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 | | | | | | | | | | | | | | | | | | | | | | | | 13 | 5 | ![](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 | | | | | | | | | | | | | | | | | | | 14 | 16 | ![](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 | | | X | | X | | | | | | | X | | X | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | X | | | X | X | X | X | | | | | | | | | | | | | | | 15 | 11 | ![](samples/15/clu15-sample0.png) | ![](samples/15/clu15-sample1.png) | ![](samples/15/clu15-sample2.png) | ![](samples/15/clu15-sample3.png) | ![](samples/15/clu15-sample4.png) | | | X | X | X | X | | | | | | | | | | X | | | | | | | | | | | | X | | | | | | | | | | | | | | X | | | | | | | | | | | X | X | | | X | | | | | | X | | | | | | | | | | | X | X | X | X | X | X | X | | | | | | | | 16 | 7 | ![](samples/16/clu16-sample0.png) | ![](samples/16/clu16-sample1.png) | ![](samples/16/clu16-sample2.png) | ![](samples/16/clu16-sample3.png) | ![](samples/16/clu16-sample4.png) | | | | X | | | | | | | | X | | | | X | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | X | X | X | X | X | X |

NiGuLa/Russian_Sensitive_Topics

--- language: - ru tags: - toxic comments classification license: cc task_categories: - text-classification size_categories: - 10K<n<100K --- ## General concept of the model Sensitive topics are such topics that have a high chance of initiating a toxic conversation: homophobia, politics, racism, etc. This dataset uses 18 topics. More details can be found [in this article ](https://www.aclweb.org/anthology/2021.bsnlp-1.4/) presented at the workshop for Balto-Slavic NLP at the EACL-2021 conference. This paper presents the first version of this dataset. Here you can see the last version of the dataset which is significantly larger and also properly filtered. ## Licensing Information [Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License][cc-by-nc-sa]. [![CC BY-NC-SA 4.0][cc-by-nc-sa-image]][cc-by-nc-sa] [cc-by-nc-sa]: http://creativecommons.org/licenses/by-nc-sa/4.0/ [cc-by-nc-sa-image]: https://i.creativecommons.org/l/by-nc-sa/4.0/88x31.png ## Citation If you find this repository helpful, feel free to cite our publication: ``` @inproceedings{babakov-etal-2021-detecting, title = "Detecting Inappropriate Messages on Sensitive Topics that Could Harm a Company{'}s Reputation", author = "Babakov, Nikolay and Logacheva, Varvara and Kozlova, Olga and Semenov, Nikita and Panchenko, Alexander", booktitle = "Proceedings of the 8th Workshop on Balto-Slavic Natural Language Processing", month = apr, year = "2021", address = "Kiyv, Ukraine", publisher = "Association for Computational Linguistics", url = "https://www.aclweb.org/anthology/2021.bsnlp-1.4", pages = "26--36", abstract = "Not all topics are equally {``}flammable{''} in terms of toxicity: a calm discussion of turtles or fishing less often fuels inappropriate toxic dialogues than a discussion of politics or sexual minorities. We define a set of sensitive topics that can yield inappropriate and toxic messages and describe the methodology of collecting and labelling a dataset for appropriateness. While toxicity in user-generated data is well-studied, we aim at defining a more fine-grained notion of inappropriateness. The core of inappropriateness is that it can harm the reputation of a speaker. This is different from toxicity in two respects: (i) inappropriateness is topic-related, and (ii) inappropriate message is not toxic but still unacceptable. We collect and release two datasets for Russian: a topic-labelled dataset and an appropriateness-labelled dataset. We also release pre-trained classification models trained on this data.", } ```

PrimeSage/111

--- license: other ---

345rf4gt56t4r3e3/lstm_crypto_dataset

--- license: mit tags: - cryptocurrency - finance - parquet - data pretty_name: Dataset for training complex lstm models. size_categories: - 1M<n<10M --- ![image/png](https://cdn-uploads.huggingface.co/production/uploads/64beae95e38420aabaf83456/uD6ARqk4WctPG5EY996LA.png) This is dataset where we try to put a lot of data into an LSTM and see what we get.

DavidVivancos/MindBigData2022_MNIST_MW

--- license: odbl ---

freshpearYoon/vr_train_free_15

--- dataset_info: features: - name: audio struct: - name: array sequence: float64 - name: path dtype: string - name: sampling_rate dtype: int64 - name: filename dtype: string - name: NumOfUtterance dtype: int64 - name: text dtype: string - name: samplingrate dtype: int64 - name: begin_time dtype: float64 - name: end_time dtype: float64 - name: speaker_id dtype: string - name: directory dtype: string splits: - name: train num_bytes: 5811472140 num_examples: 10000 download_size: 915796936 dataset_size: 5811472140 configs: - config_name: default data_files: - split: train path: data/train-* ---

mikeg2/ashg5

--- license: openrail ---

gimmaru/super_glue-cb

--- dataset_info: features: - name: premise dtype: string - name: hypothesis dtype: string - name: idx dtype: int32 - name: label dtype: class_label: names: '0': entailment '1': contradiction '2': neutral splits: - name: validation num_bytes: 21851 num_examples: 56 download_size: 0 dataset_size: 21851 --- # Dataset Card for "super_glue-cb" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards) Note: This dataset was utilized for the evaluation of probability-based prompt selection techniques in the paper '[Improving Probability-based Prompt Selection Through Unified Evaluation and Analysis](https://arxiv.org/abs/2305.14877)'. It differs from the actual benchmark dataset.

hassansh/Llama-2-7b-hf

--- dataset_info: features: - name: subject dtype: string - name: accuracy dtype: float64 - name: accuracy_abcd dtype: float64 - name: cross_entropy dtype: float64 - name: abcd_avg_probs sequence: float64 - name: abcd_std_probs sequence: float64 - name: num_qs dtype: int64 - name: time dtype: float64 splits: - name: test num_bytes: 11242 num_examples: 57 download_size: 13780 dataset_size: 11242 configs: - config_name: default data_files: - split: test path: data/test-* ---

xwjzds/ag_newskeywords

--- dataset_info: features: - name: keyword dtype: string - name: score dtype: float64 splits: - name: train num_bytes: 31466 num_examples: 1760 download_size: 31546 dataset_size: 31466 --- # Dataset Card for "ag_newskeywords" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

ACINTIAJULIANA/Cintia

--- license: openrail ---

nbalepur/UnifiedMCQA_irrelevant

--- configs: - config_name: default data_files: - split: train path: data/train-* - split: eval path: data/eval-* - split: test path: data/test-* dataset_info: features: - name: question dtype: string - name: choices sequence: string - name: answer_letter dtype: string - name: dataset dtype: string - name: question_type dtype: string splits: - name: train num_bytes: 28545264.798323218 num_examples: 132248 - name: eval num_bytes: 3172943.2016767836 num_examples: 14700 - name: test num_bytes: 3469035.0 num_examples: 15222 download_size: 16521371 dataset_size: 35187243.0 --- # Dataset Card for "UnifiedMCQA_irrelevant" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

deepghs/anime_ch_hair_length

--- license: mit task_categories: - image-classification tags: - art size_categories: - 10K<n<100K ---

threadberry/mini-platypus-two

--- 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-* ---

open-llm-leaderboard/details_Severian__Nexus-IKM-Mistral-7B-v5-instruction

--- pretty_name: Evaluation run of Severian/Nexus-IKM-Mistral-7B-v5-instruction dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [Severian/Nexus-IKM-Mistral-7B-v5-instruction](https://huggingface.co/Severian/Nexus-IKM-Mistral-7B-v5-instruction)\ \ 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_Severian__Nexus-IKM-Mistral-7B-v5-instruction\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2024-03-10T00:59:27.972031](https://huggingface.co/datasets/open-llm-leaderboard/details_Severian__Nexus-IKM-Mistral-7B-v5-instruction/blob/main/results_2024-03-10T00-59-27.972031.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\": 0.2477168147645942,\n\ \ \"acc_stderr\": 0.030566707099033714,\n \"acc_norm\": 0.24811298552173527,\n\ \ \"acc_norm_stderr\": 0.031378435870979805,\n \"mc1\": 0.23623011015911874,\n\ \ \"mc1_stderr\": 0.014869755015871096,\n \"mc2\": NaN,\n \"\ mc2_stderr\": NaN\n },\n \"harness|arc:challenge|25\": {\n \"acc\"\ : 0.2363481228668942,\n \"acc_stderr\": 0.012414960524301836,\n \"\ acc_norm\": 0.2773037542662116,\n \"acc_norm_stderr\": 0.013082095839059374\n\ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.2671778530173272,\n\ \ \"acc_stderr\": 0.004415816696303075,\n \"acc_norm\": 0.2892850029874527,\n\ \ \"acc_norm_stderr\": 0.004525037849178834\n },\n \"harness|hendrycksTest-abstract_algebra|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-anatomy|5\": {\n \"acc\": 0.22962962962962963,\n\ \ \"acc_stderr\": 0.036333844140734636,\n \"acc_norm\": 0.22962962962962963,\n\ \ \"acc_norm_stderr\": 0.036333844140734636\n },\n \"harness|hendrycksTest-astronomy|5\"\ : {\n \"acc\": 0.24342105263157895,\n \"acc_stderr\": 0.034923496688842384,\n\ \ \"acc_norm\": 0.24342105263157895,\n \"acc_norm_stderr\": 0.034923496688842384\n\ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.21,\n\ \ \"acc_stderr\": 0.040936018074033256,\n \"acc_norm\": 0.21,\n \ \ \"acc_norm_stderr\": 0.040936018074033256\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ : {\n \"acc\": 0.27169811320754716,\n \"acc_stderr\": 0.027377706624670716,\n\ \ \"acc_norm\": 0.27169811320754716,\n \"acc_norm_stderr\": 0.027377706624670716\n\ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.2152777777777778,\n\ \ \"acc_stderr\": 0.03437079344106133,\n \"acc_norm\": 0.2152777777777778,\n\ \ \"acc_norm_stderr\": 0.03437079344106133\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ : {\n \"acc\": 0.31,\n \"acc_stderr\": 0.04648231987117316,\n \ \ \"acc_norm\": 0.31,\n \"acc_norm_stderr\": 0.04648231987117316\n \ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\ : 0.21,\n \"acc_stderr\": 0.04093601807403326,\n \"acc_norm\": 0.21,\n\ \ \"acc_norm_stderr\": 0.04093601807403326\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ : {\n \"acc\": 0.24,\n \"acc_stderr\": 0.042923469599092816,\n \ \ \"acc_norm\": 0.24,\n \"acc_norm_stderr\": 0.042923469599092816\n \ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.2658959537572254,\n\ \ \"acc_stderr\": 0.03368762932259431,\n \"acc_norm\": 0.2658959537572254,\n\ \ \"acc_norm_stderr\": 0.03368762932259431\n },\n \"harness|hendrycksTest-college_physics|5\"\ : {\n \"acc\": 0.28431372549019607,\n \"acc_stderr\": 0.04488482852329017,\n\ \ \"acc_norm\": 0.28431372549019607,\n \"acc_norm_stderr\": 0.04488482852329017\n\ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ \ 0.26,\n \"acc_stderr\": 0.0440844002276808,\n \"acc_norm\": 0.26,\n\ \ \"acc_norm_stderr\": 0.0440844002276808\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ : {\n \"acc\": 0.24680851063829787,\n \"acc_stderr\": 0.0281854413012341,\n\ \ \"acc_norm\": 0.24680851063829787,\n \"acc_norm_stderr\": 0.0281854413012341\n\ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.2631578947368421,\n\ \ \"acc_stderr\": 0.04142439719489362,\n \"acc_norm\": 0.2631578947368421,\n\ \ \"acc_norm_stderr\": 0.04142439719489362\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ : {\n \"acc\": 0.2827586206896552,\n \"acc_stderr\": 0.03752833958003337,\n\ \ \"acc_norm\": 0.2827586206896552,\n \"acc_norm_stderr\": 0.03752833958003337\n\ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ : 0.23809523809523808,\n \"acc_stderr\": 0.021935878081184756,\n \"\ acc_norm\": 0.23809523809523808,\n \"acc_norm_stderr\": 0.021935878081184756\n\ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.30952380952380953,\n\ \ \"acc_stderr\": 0.04134913018303316,\n \"acc_norm\": 0.30952380952380953,\n\ \ \"acc_norm_stderr\": 0.04134913018303316\n },\n \"harness|hendrycksTest-global_facts|5\"\ : {\n \"acc\": 0.26,\n \"acc_stderr\": 0.0440844002276808,\n \ \ \"acc_norm\": 0.26,\n \"acc_norm_stderr\": 0.0440844002276808\n },\n\ \ \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.2838709677419355,\n\ \ \"acc_stderr\": 0.025649381063029254,\n \"acc_norm\": 0.2838709677419355,\n\ \ \"acc_norm_stderr\": 0.025649381063029254\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\ : {\n \"acc\": 0.2512315270935961,\n \"acc_stderr\": 0.030516530732694436,\n\ \ \"acc_norm\": 0.2512315270935961,\n \"acc_norm_stderr\": 0.030516530732694436\n\ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ \ \"acc\": 0.22,\n \"acc_stderr\": 0.04163331998932269,\n \"acc_norm\"\ : 0.22,\n \"acc_norm_stderr\": 0.04163331998932269\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ : {\n \"acc\": 0.24848484848484848,\n \"acc_stderr\": 0.03374402644139404,\n\ \ \"acc_norm\": 0.24848484848484848,\n \"acc_norm_stderr\": 0.03374402644139404\n\ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ : 0.25757575757575757,\n \"acc_stderr\": 0.031156269519646836,\n \"\ acc_norm\": 0.25757575757575757,\n \"acc_norm_stderr\": 0.031156269519646836\n\ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\ \ \"acc\": 0.21243523316062177,\n \"acc_stderr\": 0.029519282616817258,\n\ \ \"acc_norm\": 0.21243523316062177,\n \"acc_norm_stderr\": 0.029519282616817258\n\ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ \ \"acc\": 0.31794871794871793,\n \"acc_stderr\": 0.02361088430892786,\n\ \ \"acc_norm\": 0.31794871794871793,\n \"acc_norm_stderr\": 0.02361088430892786\n\ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ acc\": 0.2740740740740741,\n \"acc_stderr\": 0.027195934804085622,\n \ \ \"acc_norm\": 0.2740740740740741,\n \"acc_norm_stderr\": 0.027195934804085622\n\ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ \ \"acc\": 0.33613445378151263,\n \"acc_stderr\": 0.030684737115135356,\n\ \ \"acc_norm\": 0.33613445378151263,\n \"acc_norm_stderr\": 0.030684737115135356\n\ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ : 0.2781456953642384,\n \"acc_stderr\": 0.03658603262763744,\n \"\ acc_norm\": 0.2781456953642384,\n \"acc_norm_stderr\": 0.03658603262763744\n\ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ : 0.26788990825688075,\n \"acc_stderr\": 0.018987462257978652,\n \"\ acc_norm\": 0.26788990825688075,\n \"acc_norm_stderr\": 0.018987462257978652\n\ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ : 0.2175925925925926,\n \"acc_stderr\": 0.028139689444859672,\n \"\ acc_norm\": 0.2175925925925926,\n \"acc_norm_stderr\": 0.028139689444859672\n\ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ : 0.24019607843137256,\n \"acc_stderr\": 0.02998373305591362,\n \"\ acc_norm\": 0.24019607843137256,\n \"acc_norm_stderr\": 0.02998373305591362\n\ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ acc\": 0.20675105485232068,\n \"acc_stderr\": 0.0263616516683891,\n \ \ \"acc_norm\": 0.20675105485232068,\n \"acc_norm_stderr\": 0.0263616516683891\n\ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.13901345291479822,\n\ \ \"acc_stderr\": 0.02321935283447447,\n \"acc_norm\": 0.13901345291479822,\n\ \ \"acc_norm_stderr\": 0.02321935283447447\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ : {\n \"acc\": 0.2595419847328244,\n \"acc_stderr\": 0.03844876139785271,\n\ \ \"acc_norm\": 0.2595419847328244,\n \"acc_norm_stderr\": 0.03844876139785271\n\ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ \ 0.18181818181818182,\n \"acc_stderr\": 0.03520893951097653,\n \"\ acc_norm\": 0.18181818181818182,\n \"acc_norm_stderr\": 0.03520893951097653\n\ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.25,\n\ \ \"acc_stderr\": 0.04186091791394607,\n \"acc_norm\": 0.25,\n \ \ \"acc_norm_stderr\": 0.04186091791394607\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ : {\n \"acc\": 0.27607361963190186,\n \"acc_stderr\": 0.0351238528370505,\n\ \ \"acc_norm\": 0.27607361963190186,\n \"acc_norm_stderr\": 0.0351238528370505\n\ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.24107142857142858,\n\ \ \"acc_stderr\": 0.04059867246952685,\n \"acc_norm\": 0.24107142857142858,\n\ \ \"acc_norm_stderr\": 0.04059867246952685\n },\n \"harness|hendrycksTest-management|5\"\ : {\n \"acc\": 0.30097087378640774,\n \"acc_stderr\": 0.04541609446503948,\n\ \ \"acc_norm\": 0.30097087378640774,\n \"acc_norm_stderr\": 0.04541609446503948\n\ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.18376068376068377,\n\ \ \"acc_stderr\": 0.025372139671722933,\n \"acc_norm\": 0.18376068376068377,\n\ \ \"acc_norm_stderr\": 0.025372139671722933\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ : {\n \"acc\": 0.24,\n \"acc_stderr\": 0.042923469599092816,\n \ \ \"acc_norm\": 0.24,\n \"acc_norm_stderr\": 0.042923469599092816\n \ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.22349936143039592,\n\ \ \"acc_stderr\": 0.01489723522945071,\n \"acc_norm\": 0.22349936143039592,\n\ \ \"acc_norm_stderr\": 0.01489723522945071\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ : {\n \"acc\": 0.2514450867052023,\n \"acc_stderr\": 0.023357365785874037,\n\ \ \"acc_norm\": 0.2514450867052023,\n \"acc_norm_stderr\": 0.023357365785874037\n\ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.2536312849162011,\n\ \ \"acc_stderr\": 0.014551553659369923,\n \"acc_norm\": 0.2536312849162011,\n\ \ \"acc_norm_stderr\": 0.014551553659369923\n },\n \"harness|hendrycksTest-nutrition|5\"\ : {\n \"acc\": 0.2549019607843137,\n \"acc_stderr\": 0.02495418432487991,\n\ \ \"acc_norm\": 0.2549019607843137,\n \"acc_norm_stderr\": 0.02495418432487991\n\ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.2282958199356913,\n\ \ \"acc_stderr\": 0.023839303311398215,\n \"acc_norm\": 0.2282958199356913,\n\ \ \"acc_norm_stderr\": 0.023839303311398215\n },\n \"harness|hendrycksTest-prehistory|5\"\ : {\n \"acc\": 0.25308641975308643,\n \"acc_stderr\": 0.024191808600712995,\n\ \ \"acc_norm\": 0.25308641975308643,\n \"acc_norm_stderr\": 0.024191808600712995\n\ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ acc\": 0.2375886524822695,\n \"acc_stderr\": 0.025389512552729906,\n \ \ \"acc_norm\": 0.2375886524822695,\n \"acc_norm_stderr\": 0.025389512552729906\n\ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.24119947848761408,\n\ \ \"acc_stderr\": 0.01092649610203496,\n \"acc_norm\": 0.24119947848761408,\n\ \ \"acc_norm_stderr\": 0.01092649610203496\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ : {\n \"acc\": 0.29411764705882354,\n \"acc_stderr\": 0.027678468642144703,\n\ \ \"acc_norm\": 0.29411764705882354,\n \"acc_norm_stderr\": 0.027678468642144703\n\ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ acc\": 0.22712418300653595,\n \"acc_stderr\": 0.016949853279212376,\n \ \ \"acc_norm\": 0.22712418300653595,\n \"acc_norm_stderr\": 0.016949853279212376\n\ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.24545454545454545,\n\ \ \"acc_stderr\": 0.041220665028782855,\n \"acc_norm\": 0.24545454545454545,\n\ \ \"acc_norm_stderr\": 0.041220665028782855\n },\n \"harness|hendrycksTest-security_studies|5\"\ : {\n \"acc\": 0.2857142857142857,\n \"acc_stderr\": 0.02892058322067558,\n\ \ \"acc_norm\": 0.2857142857142857,\n \"acc_norm_stderr\": 0.02892058322067558\n\ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.14427860696517414,\n\ \ \"acc_stderr\": 0.024845753212306042,\n \"acc_norm\": 0.14427860696517414,\n\ \ \"acc_norm_stderr\": 0.024845753212306042\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ : {\n \"acc\": 0.27,\n \"acc_stderr\": 0.04461960433384739,\n \ \ \"acc_norm\": 0.27,\n \"acc_norm_stderr\": 0.04461960433384739\n \ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.2469879518072289,\n\ \ \"acc_stderr\": 0.03357351982064537,\n \"acc_norm\": 0.2469879518072289,\n\ \ \"acc_norm_stderr\": 0.03357351982064537\n },\n \"harness|hendrycksTest-world_religions|5\"\ : {\n \"acc\": 0.1695906432748538,\n \"acc_stderr\": 0.028782108105401712,\n\ \ \"acc_norm\": 0.1695906432748538,\n \"acc_norm_stderr\": 0.028782108105401712\n\ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.23623011015911874,\n\ \ \"mc1_stderr\": 0.014869755015871096,\n \"mc2\": NaN,\n \"\ mc2_stderr\": NaN\n },\n \"harness|winogrande|5\": {\n \"acc\": 0.5351223362273086,\n\ \ \"acc_stderr\": 0.014017773120881583\n },\n \"harness|gsm8k|5\":\ \ {\n \"acc\": 0.0,\n \"acc_stderr\": 0.0\n }\n}\n```" repo_url: https://huggingface.co/Severian/Nexus-IKM-Mistral-7B-v5-instruction 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_10T00_59_27.972031 path: - '**/details_harness|arc:challenge|25_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2024-03-10T00-59-27.972031.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '**/details_harness|gsm8k|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2024_03_10T00_59_27.972031 path: - '**/details_harness|hellaswag|10_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-management|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-international_law|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-management|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-marketing|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-sociology|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-virology|5_2024-03-10T00-59-27.972031.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '**/details_harness|hendrycksTest-anatomy|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '**/details_harness|hendrycksTest-astronomy|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '**/details_harness|hendrycksTest-college_biology|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '**/details_harness|hendrycksTest-college_physics|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '**/details_harness|hendrycksTest-computer_security|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '**/details_harness|hendrycksTest-econometrics|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '**/details_harness|hendrycksTest-global_facts|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '**/details_harness|hendrycksTest-human_aging|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '**/details_harness|hendrycksTest-international_law|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '**/details_harness|hendrycksTest-management|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '**/details_harness|hendrycksTest-marketing|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '**/details_harness|hendrycksTest-nutrition|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '**/details_harness|hendrycksTest-philosophy|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '**/details_harness|hendrycksTest-prehistory|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '**/details_harness|hendrycksTest-professional_law|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '**/details_harness|hendrycksTest-public_relations|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '**/details_harness|hendrycksTest-security_studies|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '**/details_harness|hendrycksTest-sociology|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '**/details_harness|hendrycksTest-virology|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '**/details_harness|hendrycksTest-world_religions|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2024-03-10T00-59-27.972031.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2024_03_10T00_59_27.972031 path: - '**/details_harness|truthfulqa:mc|0_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2024-03-10T00-59-27.972031.parquet' - config_name: harness_winogrande_5 data_files: - split: 2024_03_10T00_59_27.972031 path: - '**/details_harness|winogrande|5_2024-03-10T00-59-27.972031.parquet' - split: latest path: - '**/details_harness|winogrande|5_2024-03-10T00-59-27.972031.parquet' - config_name: results data_files: - split: 2024_03_10T00_59_27.972031 path: - results_2024-03-10T00-59-27.972031.parquet - split: latest path: - results_2024-03-10T00-59-27.972031.parquet --- # Dataset Card for Evaluation run of Severian/Nexus-IKM-Mistral-7B-v5-instruction  Dataset automatically created during the evaluation run of model [Severian/Nexus-IKM-Mistral-7B-v5-instruction](https://huggingface.co/Severian/Nexus-IKM-Mistral-7B-v5-instruction) 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_Severian__Nexus-IKM-Mistral-7B-v5-instruction", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2024-03-10T00:59:27.972031](https://huggingface.co/datasets/open-llm-leaderboard/details_Severian__Nexus-IKM-Mistral-7B-v5-instruction/blob/main/results_2024-03-10T00-59-27.972031.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": 0.2477168147645942, "acc_stderr": 0.030566707099033714, "acc_norm": 0.24811298552173527, "acc_norm_stderr": 0.031378435870979805, "mc1": 0.23623011015911874, "mc1_stderr": 0.014869755015871096, "mc2": NaN, "mc2_stderr": NaN }, "harness|arc:challenge|25": { "acc": 0.2363481228668942, "acc_stderr": 0.012414960524301836, "acc_norm": 0.2773037542662116, "acc_norm_stderr": 0.013082095839059374 }, "harness|hellaswag|10": { "acc": 0.2671778530173272, "acc_stderr": 0.004415816696303075, "acc_norm": 0.2892850029874527, "acc_norm_stderr": 0.004525037849178834 }, "harness|hendrycksTest-abstract_algebra|5": { "acc": 0.22, "acc_stderr": 0.0416333199893227, "acc_norm": 0.22, "acc_norm_stderr": 0.0416333199893227 }, "harness|hendrycksTest-anatomy|5": { "acc": 0.22962962962962963, "acc_stderr": 0.036333844140734636, "acc_norm": 0.22962962962962963, "acc_norm_stderr": 0.036333844140734636 }, "harness|hendrycksTest-astronomy|5": { "acc": 0.24342105263157895, "acc_stderr": 0.034923496688842384, "acc_norm": 0.24342105263157895, "acc_norm_stderr": 0.034923496688842384 }, "harness|hendrycksTest-business_ethics|5": { "acc": 0.21, "acc_stderr": 0.040936018074033256, "acc_norm": 0.21, "acc_norm_stderr": 0.040936018074033256 }, "harness|hendrycksTest-clinical_knowledge|5": { "acc": 0.27169811320754716, "acc_stderr": 0.027377706624670716, "acc_norm": 0.27169811320754716, "acc_norm_stderr": 0.027377706624670716 }, "harness|hendrycksTest-college_biology|5": { "acc": 0.2152777777777778, "acc_stderr": 0.03437079344106133, "acc_norm": 0.2152777777777778, "acc_norm_stderr": 0.03437079344106133 }, "harness|hendrycksTest-college_chemistry|5": { "acc": 0.31, "acc_stderr": 0.04648231987117316, "acc_norm": 0.31, "acc_norm_stderr": 0.04648231987117316 }, "harness|hendrycksTest-college_computer_science|5": { "acc": 0.21, "acc_stderr": 0.04093601807403326, "acc_norm": 0.21, "acc_norm_stderr": 0.04093601807403326 }, "harness|hendrycksTest-college_mathematics|5": { "acc": 0.24, "acc_stderr": 0.042923469599092816, "acc_norm": 0.24, "acc_norm_stderr": 0.042923469599092816 }, "harness|hendrycksTest-college_medicine|5": { "acc": 0.2658959537572254, "acc_stderr": 0.03368762932259431, "acc_norm": 0.2658959537572254, "acc_norm_stderr": 0.03368762932259431 }, "harness|hendrycksTest-college_physics|5": { "acc": 0.28431372549019607, "acc_stderr": 0.04488482852329017, "acc_norm": 0.28431372549019607, "acc_norm_stderr": 0.04488482852329017 }, "harness|hendrycksTest-computer_security|5": { "acc": 0.26, "acc_stderr": 0.0440844002276808, "acc_norm": 0.26, "acc_norm_stderr": 0.0440844002276808 }, "harness|hendrycksTest-conceptual_physics|5": { "acc": 0.24680851063829787, "acc_stderr": 0.0281854413012341, "acc_norm": 0.24680851063829787, "acc_norm_stderr": 0.0281854413012341 }, "harness|hendrycksTest-econometrics|5": { "acc": 0.2631578947368421, "acc_stderr": 0.04142439719489362, "acc_norm": 0.2631578947368421, "acc_norm_stderr": 0.04142439719489362 }, "harness|hendrycksTest-electrical_engineering|5": { "acc": 0.2827586206896552, "acc_stderr": 0.03752833958003337, "acc_norm": 0.2827586206896552, "acc_norm_stderr": 0.03752833958003337 }, "harness|hendrycksTest-elementary_mathematics|5": { "acc": 0.23809523809523808, "acc_stderr": 0.021935878081184756, "acc_norm": 0.23809523809523808, "acc_norm_stderr": 0.021935878081184756 }, "harness|hendrycksTest-formal_logic|5": { "acc": 0.30952380952380953, "acc_stderr": 0.04134913018303316, "acc_norm": 0.30952380952380953, "acc_norm_stderr": 0.04134913018303316 }, "harness|hendrycksTest-global_facts|5": { "acc": 0.26, "acc_stderr": 0.0440844002276808, "acc_norm": 0.26, "acc_norm_stderr": 0.0440844002276808 }, "harness|hendrycksTest-high_school_biology|5": { "acc": 0.2838709677419355, "acc_stderr": 0.025649381063029254, "acc_norm": 0.2838709677419355, "acc_norm_stderr": 0.025649381063029254 }, "harness|hendrycksTest-high_school_chemistry|5": { "acc": 0.2512315270935961, "acc_stderr": 0.030516530732694436, "acc_norm": 0.2512315270935961, "acc_norm_stderr": 0.030516530732694436 }, "harness|hendrycksTest-high_school_computer_science|5": { "acc": 0.22, "acc_stderr": 0.04163331998932269, "acc_norm": 0.22, "acc_norm_stderr": 0.04163331998932269 }, "harness|hendrycksTest-high_school_european_history|5": { "acc": 0.24848484848484848, "acc_stderr": 0.03374402644139404, "acc_norm": 0.24848484848484848, "acc_norm_stderr": 0.03374402644139404 }, "harness|hendrycksTest-high_school_geography|5": { "acc": 0.25757575757575757, "acc_stderr": 0.031156269519646836, "acc_norm": 0.25757575757575757, "acc_norm_stderr": 0.031156269519646836 }, "harness|hendrycksTest-high_school_government_and_politics|5": { "acc": 0.21243523316062177, "acc_stderr": 0.029519282616817258, "acc_norm": 0.21243523316062177, "acc_norm_stderr": 0.029519282616817258 }, "harness|hendrycksTest-high_school_macroeconomics|5": { "acc": 0.31794871794871793, "acc_stderr": 0.02361088430892786, "acc_norm": 0.31794871794871793, "acc_norm_stderr": 0.02361088430892786 }, "harness|hendrycksTest-high_school_mathematics|5": { "acc": 0.2740740740740741, "acc_stderr": 0.027195934804085622, "acc_norm": 0.2740740740740741, "acc_norm_stderr": 0.027195934804085622 }, "harness|hendrycksTest-high_school_microeconomics|5": { "acc": 0.33613445378151263, "acc_stderr": 0.030684737115135356, "acc_norm": 0.33613445378151263, "acc_norm_stderr": 0.030684737115135356 }, "harness|hendrycksTest-high_school_physics|5": { "acc": 0.2781456953642384, "acc_stderr": 0.03658603262763744, "acc_norm": 0.2781456953642384, "acc_norm_stderr": 0.03658603262763744 }, "harness|hendrycksTest-high_school_psychology|5": { "acc": 0.26788990825688075, "acc_stderr": 0.018987462257978652, "acc_norm": 0.26788990825688075, "acc_norm_stderr": 0.018987462257978652 }, "harness|hendrycksTest-high_school_statistics|5": { "acc": 0.2175925925925926, "acc_stderr": 0.028139689444859672, "acc_norm": 0.2175925925925926, "acc_norm_stderr": 0.028139689444859672 }, "harness|hendrycksTest-high_school_us_history|5": { "acc": 0.24019607843137256, "acc_stderr": 0.02998373305591362, "acc_norm": 0.24019607843137256, "acc_norm_stderr": 0.02998373305591362 }, "harness|hendrycksTest-high_school_world_history|5": { "acc": 0.20675105485232068, "acc_stderr": 0.0263616516683891, "acc_norm": 0.20675105485232068, "acc_norm_stderr": 0.0263616516683891 }, "harness|hendrycksTest-human_aging|5": { "acc": 0.13901345291479822, "acc_stderr": 0.02321935283447447, "acc_norm": 0.13901345291479822, "acc_norm_stderr": 0.02321935283447447 }, "harness|hendrycksTest-human_sexuality|5": { "acc": 0.2595419847328244, "acc_stderr": 0.03844876139785271, "acc_norm": 0.2595419847328244, "acc_norm_stderr": 0.03844876139785271 }, "harness|hendrycksTest-international_law|5": { "acc": 0.18181818181818182, "acc_stderr": 0.03520893951097653, "acc_norm": 0.18181818181818182, "acc_norm_stderr": 0.03520893951097653 }, "harness|hendrycksTest-jurisprudence|5": { "acc": 0.25, "acc_stderr": 0.04186091791394607, "acc_norm": 0.25, "acc_norm_stderr": 0.04186091791394607 }, "harness|hendrycksTest-logical_fallacies|5": { "acc": 0.27607361963190186, "acc_stderr": 0.0351238528370505, "acc_norm": 0.27607361963190186, "acc_norm_stderr": 0.0351238528370505 }, "harness|hendrycksTest-machine_learning|5": { "acc": 0.24107142857142858, "acc_stderr": 0.04059867246952685, "acc_norm": 0.24107142857142858, "acc_norm_stderr": 0.04059867246952685 }, "harness|hendrycksTest-management|5": { "acc": 0.30097087378640774, "acc_stderr": 0.04541609446503948, "acc_norm": 0.30097087378640774, "acc_norm_stderr": 0.04541609446503948 }, "harness|hendrycksTest-marketing|5": { "acc": 0.18376068376068377, "acc_stderr": 0.025372139671722933, "acc_norm": 0.18376068376068377, "acc_norm_stderr": 0.025372139671722933 }, "harness|hendrycksTest-medical_genetics|5": { "acc": 0.24, "acc_stderr": 0.042923469599092816, "acc_norm": 0.24, "acc_norm_stderr": 0.042923469599092816 }, "harness|hendrycksTest-miscellaneous|5": { "acc": 0.22349936143039592, "acc_stderr": 0.01489723522945071, "acc_norm": 0.22349936143039592, "acc_norm_stderr": 0.01489723522945071 }, "harness|hendrycksTest-moral_disputes|5": { "acc": 0.2514450867052023, "acc_stderr": 0.023357365785874037, "acc_norm": 0.2514450867052023, "acc_norm_stderr": 0.023357365785874037 }, "harness|hendrycksTest-moral_scenarios|5": { "acc": 0.2536312849162011, "acc_stderr": 0.014551553659369923, "acc_norm": 0.2536312849162011, "acc_norm_stderr": 0.014551553659369923 }, "harness|hendrycksTest-nutrition|5": { "acc": 0.2549019607843137, "acc_stderr": 0.02495418432487991, "acc_norm": 0.2549019607843137, "acc_norm_stderr": 0.02495418432487991 }, "harness|hendrycksTest-philosophy|5": { "acc": 0.2282958199356913, "acc_stderr": 0.023839303311398215, "acc_norm": 0.2282958199356913, "acc_norm_stderr": 0.023839303311398215 }, "harness|hendrycksTest-prehistory|5": { "acc": 0.25308641975308643, "acc_stderr": 0.024191808600712995, "acc_norm": 0.25308641975308643, "acc_norm_stderr": 0.024191808600712995 }, "harness|hendrycksTest-professional_accounting|5": { "acc": 0.2375886524822695, "acc_stderr": 0.025389512552729906, "acc_norm": 0.2375886524822695, "acc_norm_stderr": 0.025389512552729906 }, "harness|hendrycksTest-professional_law|5": { "acc": 0.24119947848761408, "acc_stderr": 0.01092649610203496, "acc_norm": 0.24119947848761408, "acc_norm_stderr": 0.01092649610203496 }, "harness|hendrycksTest-professional_medicine|5": { "acc": 0.29411764705882354, "acc_stderr": 0.027678468642144703, "acc_norm": 0.29411764705882354, "acc_norm_stderr": 0.027678468642144703 }, "harness|hendrycksTest-professional_psychology|5": { "acc": 0.22712418300653595, "acc_stderr": 0.016949853279212376, "acc_norm": 0.22712418300653595, "acc_norm_stderr": 0.016949853279212376 }, "harness|hendrycksTest-public_relations|5": { "acc": 0.24545454545454545, "acc_stderr": 0.041220665028782855, "acc_norm": 0.24545454545454545, "acc_norm_stderr": 0.041220665028782855 }, "harness|hendrycksTest-security_studies|5": { "acc": 0.2857142857142857, "acc_stderr": 0.02892058322067558, "acc_norm": 0.2857142857142857, "acc_norm_stderr": 0.02892058322067558 }, "harness|hendrycksTest-sociology|5": { "acc": 0.14427860696517414, "acc_stderr": 0.024845753212306042, "acc_norm": 0.14427860696517414, "acc_norm_stderr": 0.024845753212306042 }, "harness|hendrycksTest-us_foreign_policy|5": { "acc": 0.27, "acc_stderr": 0.04461960433384739, "acc_norm": 0.27, "acc_norm_stderr": 0.04461960433384739 }, "harness|hendrycksTest-virology|5": { "acc": 0.2469879518072289, "acc_stderr": 0.03357351982064537, "acc_norm": 0.2469879518072289, "acc_norm_stderr": 0.03357351982064537 }, "harness|hendrycksTest-world_religions|5": { "acc": 0.1695906432748538, "acc_stderr": 0.028782108105401712, "acc_norm": 0.1695906432748538, "acc_norm_stderr": 0.028782108105401712 }, "harness|truthfulqa:mc|0": { "mc1": 0.23623011015911874, "mc1_stderr": 0.014869755015871096, "mc2": NaN, "mc2_stderr": NaN }, "harness|winogrande|5": { "acc": 0.5351223362273086, "acc_stderr": 0.014017773120881583 }, "harness|gsm8k|5": { "acc": 0.0, "acc_stderr": 0.0 } } ``` ## Dataset Details ### Dataset Description  - **Curated by:** [More Information Needed] - **Funded by [optional]:** [More Information Needed] - **Shared by [optional]:** [More Information Needed] - **Language(s) (NLP):** [More Information Needed] - **License:** [More Information Needed] ### Dataset Sources [optional]  - **Repository:** [More Information Needed] - **Paper [optional]:** [More Information Needed] - **Demo [optional]:** [More Information Needed] ## Uses  ### Direct Use  [More Information Needed] ### Out-of-Scope Use  [More Information Needed] ## Dataset Structure  [More Information Needed] ## Dataset Creation ### Curation Rationale  [More Information Needed] ### Source Data  #### Data Collection and Processing  [More Information Needed] #### Who are the source data producers?  [More Information Needed] ### Annotations [optional]  #### Annotation process  [More Information Needed] #### Who are the annotators?  [More Information Needed] #### Personal and Sensitive Information  [More Information Needed] ## Bias, Risks, and Limitations  [More Information Needed] ### Recommendations  Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. ## Citation [optional]  **BibTeX:** [More Information Needed] **APA:** [More Information Needed] ## Glossary [optional]  [More Information Needed] ## More Information [optional] [More Information Needed] ## Dataset Card Authors [optional] [More Information Needed] ## Dataset Card Contact [More Information Needed]

taylorbollman/wikitext2_tb

--- dataset_info: features: - name: input_ids sequence: int32 - name: token_type_ids sequence: int8 - name: attention_mask sequence: int8 - name: labels sequence: int64 splits: - name: test num_bytes: 3963136 num_examples: 2192 - name: train num_bytes: 33513088 num_examples: 18536 - name: validation num_bytes: 3467744 num_examples: 1918 download_size: 11981141 dataset_size: 40943968 configs: - config_name: default data_files: - split: test path: data/test-* - split: train path: data/train-* - split: validation path: data/validation-* ---

vivym/OmniVid

--- license: apache-2.0 task_categories: - text-to-video --- # OmniVid Youtube Video: 24,037,110

haydn-jones/ZINC20

--- dataset_info: features: - name: smiles dtype: large_string - name: zinc_id dtype: int64 - name: SELFIES dtype: string splits: - name: train num_bytes: 393170565049 num_examples: 1538340669 - name: val num_bytes: 47753116448 num_examples: 192292584 - name: test num_bytes: 46114402425 num_examples: 192292584 download_size: 174349539018 dataset_size: 487038083922 configs: - config_name: default data_files: - split: train path: data/train-* - split: val path: data/val-* - split: test path: data/test-* license: mit tags: - chemistry - biology - medical size_categories: - 1B<n<10B --- [ZINC20](https://zinc20.docking.org/) Dataset with [SELFIES](https://arxiv.org/abs/1905.13741) added. Any smile that could not be successfully converted was dropped from the dataset. Every tranch was downloaded, this is not the ~1B example ML subset from https://files.docking.org/zinc20-ML/. The dataset was entirely shuffled then split into 80%/10%/10% splits for train/val/test. A file vocab.csv is in the root of the reposity that contains all of the SELFIES tokens found in the data, with [START], [STOP], and [PAD] added.

Hazzzardous/synthetic-translations-6k-unvalidated

--- license: mit --- Dataset is unvalidated. Please do not use until validation is complete. French [x] English [x] Italian [ ] German [ ] Chinese [ ]

khoomeik/gzipscale-0.51-100M

--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 371523195 num_examples: 390625 download_size: 164083002 dataset_size: 371523195 configs: - config_name: default data_files: - split: train path: data/train-* ---

adibacsi/customer-support-requests-skeleton

--- license: mit ---

open-llm-leaderboard/details_MBZUAI__lamini-cerebras-111m

--- pretty_name: Evaluation run of MBZUAI/lamini-cerebras-111m dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [MBZUAI/lamini-cerebras-111m](https://huggingface.co/MBZUAI/lamini-cerebras-111m)\ \ 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_MBZUAI__lamini-cerebras-111m\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-10-18T18:05:40.911064](https://huggingface.co/datasets/open-llm-leaderboard/details_MBZUAI__lamini-cerebras-111m/blob/main/results_2023-10-18T18-05-40.911064.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\": 0.001363255033557047,\n\ \ \"em_stderr\": 0.0003778609196460529,\n \"f1\": 0.02216757550335575,\n\ \ \"f1_stderr\": 0.0009735143977020524,\n \"acc\": 0.25611681136543013,\n\ \ \"acc_stderr\": 0.007024139410202808\n },\n \"harness|drop|3\": {\n\ \ \"em\": 0.001363255033557047,\n \"em_stderr\": 0.0003778609196460529,\n\ \ \"f1\": 0.02216757550335575,\n \"f1_stderr\": 0.0009735143977020524\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.0,\n \"acc_stderr\"\ : 0.0\n },\n \"harness|winogrande|5\": {\n \"acc\": 0.5122336227308603,\n\ \ \"acc_stderr\": 0.014048278820405616\n }\n}\n```" repo_url: https://huggingface.co/MBZUAI/lamini-cerebras-111m leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard point_of_contact: clementine@hf.co configs: - config_name: harness_arc_challenge_25 data_files: - split: 2023_07_19T13_45_36.693423 path: - '**/details_harness|arc:challenge|25_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2023-07-19T13:45:36.693423.parquet' - config_name: harness_drop_3 data_files: - split: 2023_10_18T18_05_40.911064 path: - '**/details_harness|drop|3_2023-10-18T18-05-40.911064.parquet' - split: latest path: - '**/details_harness|drop|3_2023-10-18T18-05-40.911064.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_10_18T18_05_40.911064 path: - '**/details_harness|gsm8k|5_2023-10-18T18-05-40.911064.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2023-10-18T18-05-40.911064.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_07_19T13_45_36.693423 path: - '**/details_harness|hellaswag|10_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-management|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-management|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-07-19T13:45:36.693423.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '**/details_harness|hendrycksTest-international_law|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '**/details_harness|hendrycksTest-management|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '**/details_harness|hendrycksTest-marketing|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '**/details_harness|hendrycksTest-sociology|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '**/details_harness|hendrycksTest-virology|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_07_19T13_45_36.693423 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2023-07-19T13:45:36.693423.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_07_19T13_45_36.693423 path: - '**/details_harness|truthfulqa:mc|0_2023-07-19T13:45:36.693423.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2023-07-19T13:45:36.693423.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_10_18T18_05_40.911064 path: - '**/details_harness|winogrande|5_2023-10-18T18-05-40.911064.parquet' - split: latest path: - '**/details_harness|winogrande|5_2023-10-18T18-05-40.911064.parquet' - config_name: results data_files: - split: 2023_07_19T13_45_36.693423 path: - results_2023-07-19T13:45:36.693423.parquet - split: 2023_10_18T18_05_40.911064 path: - results_2023-10-18T18-05-40.911064.parquet - split: latest path: - results_2023-10-18T18-05-40.911064.parquet --- # Dataset Card for Evaluation run of MBZUAI/lamini-cerebras-111m ## Dataset Description - **Homepage:** - **Repository:** https://huggingface.co/MBZUAI/lamini-cerebras-111m - **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 [MBZUAI/lamini-cerebras-111m](https://huggingface.co/MBZUAI/lamini-cerebras-111m) 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_MBZUAI__lamini-cerebras-111m", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-10-18T18:05:40.911064](https://huggingface.co/datasets/open-llm-leaderboard/details_MBZUAI__lamini-cerebras-111m/blob/main/results_2023-10-18T18-05-40.911064.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": 0.001363255033557047, "em_stderr": 0.0003778609196460529, "f1": 0.02216757550335575, "f1_stderr": 0.0009735143977020524, "acc": 0.25611681136543013, "acc_stderr": 0.007024139410202808 }, "harness|drop|3": { "em": 0.001363255033557047, "em_stderr": 0.0003778609196460529, "f1": 0.02216757550335575, "f1_stderr": 0.0009735143977020524 }, "harness|gsm8k|5": { "acc": 0.0, "acc_stderr": 0.0 }, "harness|winogrande|5": { "acc": 0.5122336227308603, "acc_stderr": 0.014048278820405616 } } ``` ### 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]

Omega02gdfdd/bioclip-demo-zero-shot-mistakes

--- configs: - config_name: default data_files: - split: train path: data.csv --- # Dataset Card for Dataset Name  ## 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]

makiisthebes/CarLicensePlates

--- license: mit ---

kekunh/stock-related-tweets-vol3

--- dataset_info: features: - name: text dtype: string - name: label dtype: string splits: - name: train num_bytes: 58062400 num_examples: 400000 download_size: 39335837 dataset_size: 58062400 configs: - config_name: default data_files: - split: train path: data/train-* ---

qtoino/form_matcher_demo_flagged

--- configs: - config_name: default data_files: - split: train path: data.csv --- # Dataset Card for Dataset Name ## Dataset Description - **Homepage:** - **Repository:** - **Paper:** - **Leaderboard:** - **Point of Contact:** ### Dataset Summary [More Information Needed] ### 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]

jstonge1/cc_BBOX_kfold

--- dataset_info: features: - name: image_id dtype: int64 - name: file_name dtype: string - name: width dtype: int64 - name: height dtype: int64 - name: annotations list: - name: area dtype: float64 - name: bbox sequence: float64 - name: category_id dtype: int64 - name: id dtype: int64 - name: ignore dtype: int64 - name: image_id dtype: int64 - name: iscrowd dtype: int64 - name: segmentation sequence: 'null' splits: - name: part_train_0 num_bytes: 840206 num_examples: 786 - name: part_test_0 num_bytes: 29094 num_examples: 28 - name: part_train_1 num_bytes: 845082 num_examples: 788 - name: part_test_1 num_bytes: 24218 num_examples: 26 - name: part_train_2 num_bytes: 844248 num_examples: 787 - name: part_test_2 num_bytes: 25052 num_examples: 27 - name: part_train_3 num_bytes: 845723 num_examples: 786 - name: part_test_3 num_bytes: 23577 num_examples: 28 - name: part_train_4 num_bytes: 842549 num_examples: 786 - name: part_test_4 num_bytes: 26751 num_examples: 28 download_size: 2437160 dataset_size: 4346500 configs: - config_name: default data_files: - split: part_train_0 path: data/part_train_0-* - split: part_test_0 path: data/part_test_0-* - split: part_train_1 path: data/part_train_1-* - split: part_test_1 path: data/part_test_1-* - split: part_train_2 path: data/part_train_2-* - split: part_test_2 path: data/part_test_2-* - split: part_train_3 path: data/part_train_3-* - split: part_test_3 path: data/part_test_3-* - split: part_train_4 path: data/part_train_4-* - split: part_test_4 path: data/part_test_4-* ---

AdapterOcean/data-standardized_cluster_18_std

--- dataset_info: features: - name: message dtype: string - name: message_type dtype: string - name: message_id dtype: int64 - name: conversation_id dtype: int64 - name: cluster dtype: float64 - name: __index_level_0__ dtype: int64 splits: - name: train num_bytes: 9051592 num_examples: 8532 download_size: 3910771 dataset_size: 9051592 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "data-standardized_cluster_18_std" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

joey234/mmlu-college_physics-original-neg-prepend

--- dataset_info: features: - name: question dtype: string - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D - name: neg_prompt dtype: string splits: - name: test num_bytes: 8640 num_examples: 15 download_size: 10053 dataset_size: 8640 --- # Dataset Card for "mmlu-college_physics-original-neg-prepend" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

Falah/artistic_prompts

--- dataset_info: features: - name: prompts dtype: string splits: - name: train num_bytes: 7555056 num_examples: 10000 download_size: 958517 dataset_size: 7555056 --- # Dataset Card for "artistic_prompts" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

rkarhila/SIAK

--- license: cc-by-nd-4.0 task_categories: - automatic-speech-recognition language: - en pretty_name: '"Say It Again, Kid!" Native and Finnish accented Children''s English with pronunciation scores' size_categories: - 10K<n<100K --- ## "Say It Again, Kid!" (SIAK) Speech data collection## ## Training data for pronunciation quality classifiers for childred learning English ## Train set and test set in flac format. File id key, fields separated by underscores (example: train001fifi05_609_t10892805_living-room.flac) * Speaker key indicates train or test set, and a running number for speaker. _speaker key is train001_ * Native language: "fifi" for Finnish, "enuk" for UK English, "othr" for other. _Native language fifi_ * Age of speaker in years (if known). _This speaker was 05 years old at the start of the recording period_ * Sample number. _This is the 609th sample spoken by the speaker. (Some kids really enjoyed contributing!)_ * Seconds from first sample given. _10892805 seconds since first recording. This speaker contributed the samples over a 4 month period_ * Targer utterance text with spaces etc replaced by dashes. _Utterance to be spoken was "living room"_ ## Release history ## This data is derived from the data collected in the SIAK project 2014-2018, Participants agreed that their data can be published anonymously. Unfortunately the General Data Protection Regulation (GDPR) became effective before the data was ready for release, and the publication effort halted. However the data was leased to an ill-fated startup that started operationsa few weeks before COVID-19 lockdowns. This collection is a derivation of the SIAK data with any strongly identifying metadata removed for use by the now bankrupt startup. We were involved in collecting, storing and processing the data in the SIAK project and have gone through the speech samples in enough detail to be assured that the data can be regarded as non-personal and thus except from GDPR as it consists of only single words or very short utterance repetitions, making it next to impossible to identify a speaker. Reima Karhila and Anna Smolander SIAK project researchers and unlucky startup founders --- license: cc-by-nd-4.0 --- We emphasize, that by no derivatives we mean that you cannot use the audio samples as part of any work that is not directly related to describing the dataset in a speech technology or scientific language learning context. You may include them in a scientific presentation when the context is clearly to present the original data and not to use the data in another fashion. Commercial use of speech samples for building and evaluation of speech technology models is _not_ prohibited. If you publish work based on this dataset, please cite _Karhila & al.: Pronunciation Scoring System Embedded into Children’s Foreign Language Learning Games with Experimental Verification of Learning Benefits, SLATE 2023_.

cis-lmu/GlotStoryBook-Nalibali

--- license: cc0-1.0 task_categories: - translation - text-generation - text2text-generation configs: - config_name: default data_files: - split: test path: "nalibali.csv" multilinguality: - multilingual - translation language: - afr - eng - nbl - nso - sot - ssw - tsn - tso - ven - xho - zul tags: - glotstorybook - story - book - african - glot pretty_name: GlotStoryBook-Nalibali --- ## Dataset Description Parallel storybooks for African languages and English (11 language codes). The same `parallel_id` in different languages indicates that these stories are parallel. The data collected from [nalibali.org](https://www.nalibali.org/story-resources/multilingual-stories). This repository is part of the GlotStoryBook project, check other datasources (African Storybook, Pratham Books, Little Cree Books and LIDA Stories) in [cis-lmu/GlotStoryBook](https://huggingface.co/datasets/cis-lmu/GlotStoryBook) and parallel version in [cis-lmu/GlotStoryBook-MT](https://huggingface.co/datasets/cis-lmu/GlotStoryBook-MT). - **GitHub Repository:** [github](https://github.com/cisnlp/GlotStoryBook) - **Paper:** [paper](https://arxiv.org/abs/2310.16248) - **Point of Contact:** amir@cis.lmu.de ## Usage (HF Loader) ```python from datasets import load_dataset dataset = load_dataset('cis-lmu/GlotStoryBook-Nalibali') print(dataset['test'][0]) # First row of data ``` ## Download If you are not a fan of the HF dataloader, download it directly: ```python ! wget https://huggingface.co/datasets/cis-lmu/GlotStoryBook-Nalibali/raw/main/nalibali.csv ``` ## License and Copyright We do not own any of the text from which this data has been extracted. All the files are collected from [nalibali.org](https://www.nalibali.org/story-resources/multilingual-stories). Based on the [submission](https://www.nalibali.org/story-resources/your-stories) of new stories, the stories are original, and the submitter needs to own all rights to the story. Also, based on the [terms of use](https://www.nalibali.org/terms-use), there is no limitation on the use of the content of site. Besides, [robots.txt](https://www.nalibali.org/robots.txt) of website also allows the stories to be included in bots and search engines, and the stories' text is already cached in Google Search. We have included the name of the author and the link to the story in the dataset as well. We license the code, actual packaging, and the metadata of this data under the cc0-1.0. ## Citation If you use any part of this code and data in your research, please cite it (along with nalibali.org) using the following BibTeX entry. This work is part of the [GlotLID](https://github.com/cisnlp/GlotLID) project. ``` @inproceedings{ kargaran2023glotlid, title={{GlotLID}: Language Identification for Low-Resource Languages}, author={Kargaran, Amir Hossein and Imani, Ayyoob and Yvon, Fran{\c{c}}ois and Sch{\"u}tze, Hinrich}, booktitle={The 2023 Conference on Empirical Methods in Natural Language Processing}, year={2023}, url={https://openreview.net/forum?id=dl4e3EBz5j} } ```

Yura32000/cifar10

--- dataset_info: features: - name: img dtype: image - name: label dtype: class_label: names: '0': airplane '1': automobile '2': bird '3': cat '4': deer '5': dog '6': frog '7': horse '8': ship '9': truck splits: - name: test num_bytes: 22731580.0 num_examples: 10000 download_size: 23940850 dataset_size: 22731580.0 configs: - config_name: default data_files: - split: test path: data/test-* ---

ubaada/booksum-complete-cleaned

--- task_categories: - summarization - text-generation language: - en pretty_name: BookSum Summarization Dataset Clean size_categories: - 1K<n<10K configs: - config_name: books data_files: - split: train path: "books/train.jsonl" - split: test path: "books/test.jsonl" - split: validation path: "books/val.jsonl" - config_name: chapters data_files: - split: train path: "chapters/train.jsonl" - split: test path: "chapters/test.jsonl" - split: validation path: "chapters/val.jsonl" --- # Table of Contents 1. [Description](#description) 2. [Usage](#usage) 3. [Distribution](#distribution) - [Chapters Dataset](#chapters-dataset) - [Books Dataset](#books-dataset) 4. [Structure](#structure) 5. [Results and Comparison with kmfoda/booksum](#results-and-comparison-with-kmfodabooksum) # Description: This repository contains the Booksum dataset introduced in the paper [BookSum: A Collection of Datasets for Long-form Narrative Summarization ](https://arxiv.org/abs/2105.08209). This dataset includes both book and chapter summaries from the BookSum dataset (unlike the kmfoda/booksum one which only contains the chapter dataset). Some mismatched summaries have been corrected. Uneccessary columns has been discarded. Contains minimal text-to-summary rows. As there are multiple summaries for a given text, each row contains an array of summaries. # Usage Note: Make sure you have [>2.14.0 version of "datasets" library](https://github.com/huggingface/datasets/releases/tag/2.14.0) installed to load the dataset successfully. ``` from datasets import load_dataset book_data = load_dataset("ubaada/booksum-complete-cleaned", "books") chapter_data = load_dataset("ubaada/booksum-complete-cleaned", "chapters") # Print the 1st book print(book_data["train"][0]['text']) # Print the summary of the 1st book print(book_data["train"][0]['summary'][0]['text']) ``` # Distribution <div style="display: inline-block; vertical-align: top; width: 45%;"> ## Chapters Dataset | Split | Total Sum. | Missing Sum. | Successfully Processed | Chapters | |---------|------------|--------------|------------------------|------| | Train | 9712 | 178 | 9534 (98.17%) | 5653 | | Test | 1432 | 0 | 1432 (100.0%) | 950 | | Val | 1485 | 0 | 1485 (100.0%) | 854 | </div> <div style="display: inline-block; vertical-align: top; width: 45%; margin-left: 5%;"> ## Books Dataset | Split | Total Sum. | Missing Sum. | Successfully Processed | Books | |---------|------------|--------------|------------------------|------| | Train | 314 | 0 | 314 (100.0%) | 151 | | Test | 46 | 0 | 46 (100.0%) | 17 | | Val | 45 | 0 | 45 (100.0%) | 19 | </div> # Structure: ``` Chapters Dataset 0 - bid (book id) 1 - book_title 2 - chapter_id 3 - text (raw chapter text) 4 - summary (list of summaries from different sources) - {source, text (summary), analysis} ... 5 - is_aggregate (bool) (if true, then the text contains more than one chapter) Books Dataset: 0 - bid (book id) 1 - title 2 - text (raw text) 4 - summary (list of summaries from different sources) - {source, text (summary), analysis} ... ``` # Reults and Comparison with kmfoda/booksum Tested on the 'test' split of chapter sub-dataset. There are slight improvement on R1/R2 scores compared to another BookSum repo likely due to the work done on cleaning the misalignments in the alignment file. In the plot for this dataset, first summary \[0\] is chosen for each chapter. If best reference summary is chosen from the list for each chapter, theere are further improvements but are not shown here for fairness. ![image/png](https://cdn-uploads.huggingface.co/production/uploads/62a7d1e152aa8695f9209345/lUNes4SFXVMdtebGMEJK0.png)

mask-distilled-one-sec-cv12/chunk_126

--- dataset_info: features: - name: logits sequence: float32 - name: mfcc sequence: sequence: float64 splits: - name: train num_bytes: 1249627720 num_examples: 245410 download_size: 1274836307 dataset_size: 1249627720 --- # Dataset Card for "chunk_126" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

FINNUMBER/QA_Instruction

--- license: mit configs: - config_name: Multiple-Choice QA data_files: - split: train path: data/MCQA_Rationale.csv - config_name: Binary QA data_files: - split: train path: data/BQA_Rationale.csv - config_name: Extractive QA data_files: - split: train path: data/EQA_Rationale.csv - config_name: Numerical Reasoning Arithmetic data_files: - split: train path: data/numerical-reasoning-arithmetic.csv - config_name: Numerical Reasoning Comparison data_files: - split: train path: data/numerical-reasoning-comparison.csv - config_name: Numerical Reasoning Extraction data_files: - split: train path: data/numerical-reasoning-extraction.csv --- # 𓅰 FINCH: CoT-Instruction Dataset for Korean Finance 𓅰 <img src="assets/finch_logo.png" width="400"> ## Overview __*FINCH*__ is a CoT-Instruction dataset rooting Korean-Financial tasks including: Multiple-Choice Question Answering (MCQA), Extractive Question Answering (EQA), Binary Question Answering (BQA), Numerical Reasoning, Tabular Reasoning and Sentiment Analysis. Additional details, research paper and further updates are coming! Stay Tuned.

Phoenixrayne6/TaylorGrodin-Paintbrush-III-RVC

--- license: gpl ---

leoleo2024/VOZDUKE

--- license: openrail ---

Weich24/NasaData

--- dataset_info: features: - name: 'Unnamed: 0' dtype: string - name: case dtype: int64 - name: run dtype: int64 - name: VB dtype: float64 - name: time dtype: int64 - name: DOC dtype: float64 - name: feed dtype: float64 - name: material dtype: int64 - name: smcAC dtype: float64 - name: smcDC dtype: float64 - name: vib_table dtype: float64 - name: vib_spindle dtype: float64 - name: AE_table dtype: float64 - name: AE_spindle dtype: float64 splits: - name: train num_bytes: 15224.119760479041 num_examples: 133 - name: test num_bytes: 3891.880239520958 num_examples: 34 download_size: 20174 dataset_size: 19116.0 --- # Dataset Card for "NasaData" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

ytzi/the-stack-dedup-python-filtered-docstrings-gpt2

--- dataset_info: features: - name: content dtype: string - name: input_ids sequence: int32 - name: ratio_char_token dtype: float64 - name: token_count dtype: int64 splits: - name: train num_bytes: 86634631995 num_examples: 12760182 download_size: 27198966561 dataset_size: 86634631995 configs: - config_name: default data_files: - split: train path: data/train-* ---

open-llm-leaderboard/details_lvkaokao__llama2-7b-hf-chat-lora-v3

--- pretty_name: Evaluation run of lvkaokao/llama2-7b-hf-chat-lora-v3 dataset_summary: "Dataset automatically created during the evaluation run of model\ \ [lvkaokao/llama2-7b-hf-chat-lora-v3](https://huggingface.co/lvkaokao/llama2-7b-hf-chat-lora-v3)\ \ 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_lvkaokao__llama2-7b-hf-chat-lora-v3\"\ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\ These are the [latest results from run 2023-09-16T22:22:04.429370](https://huggingface.co/datasets/open-llm-leaderboard/details_lvkaokao__llama2-7b-hf-chat-lora-v3/blob/main/results_2023-09-16T22-22-04.429370.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\": 0.0026216442953020135,\n\ \ \"em_stderr\": 0.0005236685642966032,\n \"f1\": 0.05310088087248333,\n\ \ \"f1_stderr\": 0.0014130017638603535,\n \"acc\": 0.3891916037418029,\n\ \ \"acc_stderr\": 0.007656807657466876\n },\n \"harness|drop|3\": {\n\ \ \"em\": 0.0026216442953020135,\n \"em_stderr\": 0.0005236685642966032,\n\ \ \"f1\": 0.05310088087248333,\n \"f1_stderr\": 0.0014130017638603535\n\ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.015163002274450341,\n \ \ \"acc_stderr\": 0.0033660229497263472\n },\n \"harness|winogrande|5\"\ : {\n \"acc\": 0.7632202052091555,\n \"acc_stderr\": 0.011947592365207404\n\ \ }\n}\n```" repo_url: https://huggingface.co/lvkaokao/llama2-7b-hf-chat-lora-v3 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_24T04_41_09.477230 path: - '**/details_harness|arc:challenge|25_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '**/details_harness|arc:challenge|25_2023-08-24T04:41:09.477230.parquet' - config_name: harness_drop_3 data_files: - split: 2023_09_16T22_22_04.429370 path: - '**/details_harness|drop|3_2023-09-16T22-22-04.429370.parquet' - split: latest path: - '**/details_harness|drop|3_2023-09-16T22-22-04.429370.parquet' - config_name: harness_gsm8k_5 data_files: - split: 2023_09_16T22_22_04.429370 path: - '**/details_harness|gsm8k|5_2023-09-16T22-22-04.429370.parquet' - split: latest path: - '**/details_harness|gsm8k|5_2023-09-16T22-22-04.429370.parquet' - config_name: harness_hellaswag_10 data_files: - split: 2023_08_24T04_41_09.477230 path: - '**/details_harness|hellaswag|10_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '**/details_harness|hellaswag|10_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-management|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-anatomy|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-astronomy|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-business_ethics|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-college_biology|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-college_medicine|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-college_physics|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-computer_security|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-econometrics|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-formal_logic|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-global_facts|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-human_aging|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-international_law|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-machine_learning|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-management|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-marketing|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-nutrition|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-philosophy|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-prehistory|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-professional_law|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-public_relations|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-security_studies|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-sociology|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-virology|5_2023-08-24T04:41:09.477230.parquet' - '**/details_harness|hendrycksTest-world_religions|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_abstract_algebra_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_anatomy_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '**/details_harness|hendrycksTest-anatomy|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-anatomy|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_astronomy_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '**/details_harness|hendrycksTest-astronomy|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-astronomy|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_business_ethics_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-business_ethics|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_clinical_knowledge_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_college_biology_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '**/details_harness|hendrycksTest-college_biology|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_biology|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_college_chemistry_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_college_computer_science_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_college_mathematics_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_college_medicine_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_medicine|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_college_physics_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '**/details_harness|hendrycksTest-college_physics|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-college_physics|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_computer_security_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '**/details_harness|hendrycksTest-computer_security|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-computer_security|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_conceptual_physics_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_econometrics_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '**/details_harness|hendrycksTest-econometrics|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-econometrics|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_electrical_engineering_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_elementary_mathematics_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_formal_logic_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-formal_logic|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_global_facts_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '**/details_harness|hendrycksTest-global_facts|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-global_facts|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_high_school_biology_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_high_school_chemistry_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_high_school_computer_science_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_high_school_european_history_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_high_school_geography_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_high_school_government_and_politics_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_high_school_macroeconomics_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_high_school_mathematics_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_high_school_microeconomics_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_high_school_physics_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_high_school_psychology_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_high_school_statistics_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_high_school_us_history_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_high_school_world_history_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_human_aging_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '**/details_harness|hendrycksTest-human_aging|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_aging|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_human_sexuality_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_international_law_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '**/details_harness|hendrycksTest-international_law|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-international_law|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_jurisprudence_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_logical_fallacies_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_machine_learning_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-machine_learning|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_management_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '**/details_harness|hendrycksTest-management|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-management|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_marketing_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '**/details_harness|hendrycksTest-marketing|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-marketing|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_medical_genetics_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_miscellaneous_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_moral_disputes_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_moral_scenarios_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_nutrition_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '**/details_harness|hendrycksTest-nutrition|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-nutrition|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_philosophy_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '**/details_harness|hendrycksTest-philosophy|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-philosophy|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_prehistory_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '**/details_harness|hendrycksTest-prehistory|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-prehistory|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_professional_accounting_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_professional_law_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '**/details_harness|hendrycksTest-professional_law|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_law|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_professional_medicine_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_professional_psychology_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_public_relations_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '**/details_harness|hendrycksTest-public_relations|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-public_relations|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_security_studies_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '**/details_harness|hendrycksTest-security_studies|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-security_studies|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_sociology_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '**/details_harness|hendrycksTest-sociology|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-sociology|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_us_foreign_policy_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_virology_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '**/details_harness|hendrycksTest-virology|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-virology|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_hendrycksTest_world_religions_5 data_files: - split: 2023_08_24T04_41_09.477230 path: - '**/details_harness|hendrycksTest-world_religions|5_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '**/details_harness|hendrycksTest-world_religions|5_2023-08-24T04:41:09.477230.parquet' - config_name: harness_truthfulqa_mc_0 data_files: - split: 2023_08_24T04_41_09.477230 path: - '**/details_harness|truthfulqa:mc|0_2023-08-24T04:41:09.477230.parquet' - split: latest path: - '**/details_harness|truthfulqa:mc|0_2023-08-24T04:41:09.477230.parquet' - config_name: harness_winogrande_5 data_files: - split: 2023_09_16T22_22_04.429370 path: - '**/details_harness|winogrande|5_2023-09-16T22-22-04.429370.parquet' - split: latest path: - '**/details_harness|winogrande|5_2023-09-16T22-22-04.429370.parquet' - config_name: results data_files: - split: 2023_09_16T22_22_04.429370 path: - results_2023-09-16T22-22-04.429370.parquet - split: latest path: - results_2023-09-16T22-22-04.429370.parquet --- # Dataset Card for Evaluation run of lvkaokao/llama2-7b-hf-chat-lora-v3 ## Dataset Description - **Homepage:** - **Repository:** https://huggingface.co/lvkaokao/llama2-7b-hf-chat-lora-v3 - **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 [lvkaokao/llama2-7b-hf-chat-lora-v3](https://huggingface.co/lvkaokao/llama2-7b-hf-chat-lora-v3) 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_lvkaokao__llama2-7b-hf-chat-lora-v3", "harness_winogrande_5", split="train") ``` ## Latest results These are the [latest results from run 2023-09-16T22:22:04.429370](https://huggingface.co/datasets/open-llm-leaderboard/details_lvkaokao__llama2-7b-hf-chat-lora-v3/blob/main/results_2023-09-16T22-22-04.429370.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": 0.0026216442953020135, "em_stderr": 0.0005236685642966032, "f1": 0.05310088087248333, "f1_stderr": 0.0014130017638603535, "acc": 0.3891916037418029, "acc_stderr": 0.007656807657466876 }, "harness|drop|3": { "em": 0.0026216442953020135, "em_stderr": 0.0005236685642966032, "f1": 0.05310088087248333, "f1_stderr": 0.0014130017638603535 }, "harness|gsm8k|5": { "acc": 0.015163002274450341, "acc_stderr": 0.0033660229497263472 }, "harness|winogrande|5": { "acc": 0.7632202052091555, "acc_stderr": 0.011947592365207404 } } ``` ### 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]

j-krzywdziak/test2

--- annotations_creators: - expert-generated language: - pl license: - mit multilinguality: - monolingual dataset_info: - config_name: config features: - name: audio_id dtype: string - name: audio dtype: audio: sampling_rate: 16000 - name: text dtype: string --- # Dataset Card for [Dataset Name] ## Table of Contents - [Table of Contents](#table-of-contents) - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [Contributions](#contributions) ## Dataset Description - **Homepage:** - **Repository:** - **Paper:** - **Leaderboard:** - **Point of Contact:** ### Dataset Summary [More Information Needed] ### 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 Thanks to [@github-username](https://github.com/<github-username>) for adding this dataset.

Michaelkassouf/Ferrari_SD1

--- dataset_info: features: - name: image dtype: string - name: caption dtype: string splits: - name: train num_bytes: 3104037 num_examples: 35553 download_size: 1048392 dataset_size: 3104037 configs: - config_name: default data_files: - split: train path: data/train-* ---

joey234/mmlu-medical_genetics-rule-neg

--- dataset_info: features: - name: choices sequence: string - name: answer dtype: class_label: names: '0': A '1': B '2': C '3': D - name: question dtype: string splits: - name: test num_bytes: 21208 num_examples: 100 download_size: 15423 dataset_size: 21208 --- # Dataset Card for "mmlu-medical_genetics-rule-neg" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

Peng-Wang/ImageDream

--- license: apache-2.0 --- Some results from ImageDream for Easy Comparison

zjunlp/KnowEdit

--- license: mit language: - en task_categories: - text-generation - question-answering - text2text-generation tags: - knowledge-editing - model-editing - large-language-model --- # KnowEdit: A Benchmark of Knowledge Editing for LLMs This README is about reproducing the paper [A Comprehensive Study of Knowledge Editing for Large Language Models](https://arxiv.org/abs/2401.01286). You can use [EasyEdit](https://github.com/zjunlp/EasyEdit) to load and use this benchmark. ## Table of Contents - [Dataset Structure](#Dataset-Structure) - [Get Started Quickly](#Get-started-quickly) - [Training an Editor with KnowEdit](#Training-an-Editor-with-KnowEdit) - [Performence](#Performence) - [The Composition of Dataset](#The_Composition_of_Dataset) --- This README explains how to use [EasyEdit](https://github.com/zjunlp/EasyEdit) with the KnowEdit dataset. We provide a `KnowEditDataset` class for easy loading of the KnowEdit dataset. To use it, simply write: ```python dataset = KnowEditDataset('the_json_path') ``` ## Dataset Structure KnowEdit is tailored for knowledge editing tasks. It encompasses six tasks: ZsRE, Wiki<sub>recent</sub>, Wiki<sub>counterfact</sub>, WikiBio, ConvSent, and Sanitation. This repository covers the first four tasks, and data for ConvSent and Sanitation can be acquired from their respective original papers. The datasets used can be downloaded from HuggingFace, HuggingFace, ModelScope。 | **dataset** | HuggingFace| WiseModel | ModelScope | | :--------: | :-----------------------------------------------------------------------------------------------: | :-----------------------------------------------------------------------------: | :--------------------------------------------------------------------------------: | | KnowEdit | [[HuggingFace]](https://huggingface.co/datasets/zjunlp/KnowEdit) | [[WiseModel]](https://wisemodel.cn/datasets/zjunlp/KnowEdit) | [[ModelScope]](https://www.modelscope.cn/datasets/zjunlp/KnowEdit) | Unzip the file and put it to `./data` <table class="tg"> <thead> <tr> <th class="tg-7btt">Task</th> <th class="tg-7btt">Knowledge Insertion</th> <th class="tg-7btt" colspan="4">Knowledge Modification</th> <th class="tg-7btt">Knowledge Erasure</th> </tr> </thead> <tbody> <tr> <td class="tg-c3ow">Datasets</td> <td class="tg-c3ow">Wiki<sub>recent</sub></td> <td class="tg-c3ow">ZsRE</td> <td class="tg-c3ow">WikiBio</td> <td class="tg-c3ow"> WikiData<sub>counterfact</sub></td> <td class="tg-c3ow">Convsent</td> <td class="tg-c3ow">Sanitation</td> </tr> <tr> <td class="tg-c3ow">Type</td> <td class="tg-c3ow">Fact</td> <td class="tg-c3ow">Question Answering</td> <td class="tg-c3ow">Hallucination</td> <td class="tg-c3ow">Counterfact</td> <td class="tg-c3ow">Sentiment</td> <td class="tg-c3ow">Unwanted Info</td> </tr> <tr> <td class="tg-c3ow"># Train</td> <td class="tg-c3ow">570</td> <td class="tg-c3ow">10,000</td> <td class="tg-c3ow">592</td> <td class="tg-c3ow">1,455</td> <td class="tg-c3ow">14,390</td> <td class="tg-c3ow">80</td> </tr> <tr> <td class="tg-c3ow"># Test</td> <td class="tg-c3ow">1,266</td> <td class="tg-c3ow">1230</td> <td class="tg-c3ow">1,392</td> <td class="tg-c3ow">885</td> <td class="tg-c3ow">800</td> <td class="tg-c3ow">80</td> </tr> </tbody> </table> --- Different JSON files have distinct data types. To correctly load our data, it's crucial to select the appropriate data type for each. For instance: - For the **WikiBio** dataset, we should use the `wikibio` data type. - For the **ZsRE** dataset, we should use the `zsre` data type. - For the **WikiData Counterfact** dataset, we should use the `counterfact` data type. - For the **WikiData Recent** dataset, we should use the `recent` data type. - For the **convsent** dataset, we should use the run_convsent_llama2.py - For the **Sanitation** dataset, we should use the run_trivia_llama2.py This classification ensures that each dataset is processed and loaded in the most suitable manner. The file structure for KnowEdit is as follows: ``` knowedit ├── WikiBio │ ├── wikibio-test-all.json │ └── wikibio-train-all.json ├── ZsRE │ └── ZsRE-test-all.json ├── wiki_counterfact │ ├── test_cf.json │ └── train_cf.json ├── convsent │ ├── blender_test.json │ ├── blender_train.json │ └── blender_val.json ├── Sanitation │ ├── trivia_qa_test.json │ └── trivia_qa_train.json └── wiki_recent ├── recent_test.json └── recent_train.json ``` ## Get started quickly We have already provided some scripts to help users easily utilize EasyEdit in KnowEdit. Different JSONs require different scripts. Please select the appropriate script to edit your model. Please discuss in an [issue](https://github.com/zjunlp/EasyEdit/issues) a feature you would like to implement in an example before submitting a PR; we welcome bug fixes, but since we want to keep the examples as simple as possible it's unlikely that we will merge a pull request adding more functionality at the cost of readability. --- ### ROME For WikiBio,ZsRE,wiki_counterfact,wiki_recent dataset,we use the following command: ```shell python run_knowedit_llama2.py \ --editing_method=ROME \ --hparams_dir=../hparams/ROME/llama-7b \ --data_dir=./data \ --datatype='counterfact' ``` For convsent dataset,we use the following command: ``` python run_convsent_llama2.py \ --hparams_dir ./hparams/ROME/llama-7b.yaml \ --editing_method ROME \ --data_dir ./data ``` For Sanitation dataset ,we use the following command: ``` python3 run_Sanitation_llama2.py --editing_method ROME\ --hparams_dir ./hparams/ROME/llama-7b.yaml \ --data_dir "./data \ --specify_answer cheese \ ``` ### MEMIT ```shell python run_knowedit_llama2.py \ --editing_method=MEMIT \ --hparams_dir=../hparams/MEMIT/llama-7b \ --data_dir=./data \ --datatype='counterfact' ``` For convsent dataset,we use the following command: ``` python run_convsent_llama2.py \ --hparams_dir ./hparams/MEMIT/llama-7b.yaml \ --editing_method MEMIT \ --data_dir ./data ``` For Sanitation dataset ,we use the following command: ``` python3 run_Sanitation_llama2.py --editing_method MEMIT\ --hparams_dir ./hparams/MEMIT/llama-7b.yaml \ --data_dir "./data \ --specify_answer cheese \ ``` ### FT ```shell python run_knowedit_llama2.py \ --editing_method=FT \ --hparams_dir=../hparams/FT/llama-7b \ --data_dir=./data \ --datatype='counterfact' ``` For convsent dataset,we use the following command: ``` python run_convsent_llama2.py \ --hparams_dir ./hparams/FT/llama-7b.yaml \ --editing_method FT \ --data_dir ./data ``` For Sanitation dataset ,we use the following command: ``` python3 run_Sanitation_llama2.py --editing_method FT\ --hparams_dir ./hparams/FT/llama-7b.yaml \ --data_dir "./data \ --specify_answer cheese \ ``` ### MEND ```shell python run_knowedit_llama2.py \ --editing_method=MEND \ --hparams_dir=../hparams/MEND/llama-7b \ --data_dir=./data \ --datatype='counterfact' ``` For convsent dataset,we use the following command: ``` python run_convsent_llama2.py \ --hparams_dir ./hparams/MEND/llama-7b.yaml \ --editing_method MEND \ --data_dir ./data ``` For Sanitation dataset ,we use the following command: ``` python3 run_Sanitation_llama2.py --editing_method MEND\ --hparams_dir ./hparams/MEND/llama-7b.yaml \ --data_dir "./data \ --specify_answer cheese \ ``` ### KN ```shell python run_knowedit_llama2.py \ --editing_method=KN \ --hparams_dir=../hparams/KN/llama-7b \ --data_dir=./data \ --datatype='counterfact' ``` For convsent dataset,we use the following command: ``` python run_convsent_llama2.py \ --hparams_dir ./hparams/KN/llama-7b.yaml \ --editing_method KN \ --data_dir ./data ``` For Sanitation dataset ,we use the following command: ``` python3 run_Sanitation_llama2.py --editing_method KN\ --hparams_dir ./hparams/KN/llama-7b.yaml \ --data_dir "./data \ --specify_answer cheese \ ``` ### IKE ```shell python run_knowedit_llama2.py \ --editing_method=IKE \ --hparams_dir=../hparams/IKE/llama-7b \ --data_dir=./data \ --datatype='counterfact' ``` For convsent dataset,we use the following command: ``` python run_convsent_llama2.py \ --hparams_dir ./hparams/IKE/llama-7b.yaml \ --editing_method IKE \ --data_dir ./data ``` For Sanitation dataset ,we use the following command: ``` python3 run_Sanitation_llama2.py --editing_method IKE\ --hparams_dir ./hparams/IKE/llama-7b.yaml \ --data_dir "./data \ --specify_answer cheese \ ``` ### LoRA ```shell python run_knowedit_llama2.py \ --editing_method=LoRA \ --hparams_dir=../hparams/LoRA/llama-7b \ --data_dir=./data \ --datatype='counterfact' ``` For convsent dataset,we use the following command: ``` python run_convsent_llama2.py \ --hparams_dir ./hparams/LoRA/llama-7b.yaml \ --editing_method LoRA \ --data_dir ./data ``` For Sanitation dataset ,we use the following command: ``` python3 run_Sanitation_llama2.py --editing_method LoRA\ --hparams_dir ./hparams/LoRA/llama-7b.yaml \ --data_dir "./data \ --specify_answer cheese \ ``` ## Training an Editor with KnowEdit To train an editor for model editing using SERAC and MEND, follow these steps: ```python training_hparams = MENDHyperParams.from_hparams('./hparams/MEND/llama-7b.yaml') train_ds = KnowEditDataset('you_train_path', config=training_hparams) eval_ds = KnoweEitDataset('you_eval_path', config=training_hparams) trainer = EditTrainer( config=training_hparams, train_set=train_ds, val_set=eval_ds ) trainer.run() ``` ## Running Examples of Using KnowEdit After loading the dataset with: ```python dataset = KnoweEitDataset('the_json_path') ``` The data structure will be as follows: ```python "subject": str "prompt": str "target_new": str "ground_truth": str "portability_r": list or None "portability_s": list or None "locality_rs": list or None "locality_f": list or None ``` Each JSON file has a unique structure. Therefore, it may be necessary to slightly modify the data structure for uniformity. For instance, in `benchmark_wiki_counterfact_test_cf.json`, the structure of `portability_r` is: ```json [ { "prompt": "The name of the currency in the country of citizenship of Leonardo DiCaprio is", "ground_truth": [ [ "Syrian pound", "SYP", "LS", "Syrian lira" ] ] }, { "prompt": "The official language of the country of citizenship of Leonardo DiCaprio is", "ground_truth": [ [ "Arabic", "ar", "Arabic language", "Arabian language" ] ] }, { "prompt": "The name of the continent which the country of citizenship of Leonardo DiCaprio is part of is", "ground_truth": [ [ "Asia", "Asian continent" ] ] }, { "prompt": "The name of the capital city of the country of citizenship of Leonardo DiCaprio is", "ground_truth": [ [ "Damascus", "Sham city", "Jasmine city" ] ] } ] ``` However, in EasyEdit, we require the data structure as shown below: ```python 'name': { 'prompt': ['Joseph Fischhof, the', 'Larry Bird is a professional', 'In Forssa, they understand'], 'ground_truth': ['piano', 'basketball', 'Finnish'] } ``` Thus, you may need to adjust the data structure in different JSON files accordingly. ## Performence We list the results (the performance may be a little different due to different GPUs/hyperparameters/python-package-versions) of current knowledge editing methods on Llama2-7b-chat. | DataSet | Metric | SERAC | ICE | AdaLoRA | MEND | ROME | MEMIT | FT-L | FT | |--------------------------|---------------|--------|--------|---------|--------|--------|--------|--------|--------| | **WikiData_recent** | | | | | | | | | | | | Edit Succ. ↑ | 98.68 | 60.74 | 65.61 | 76.88 | 85.08 | 85.32 | 71.18 | 31.24 | | | Portability ↑ | 63.52 | 36.93 | 47.22 | 50.11 | 37.45 | 37.94 | 48.71 | 15.91 | | | Locality ↑ | 100.00 | 33.34 | 55.78 | 92.87 | 66.2 | 64.78 | 63.7 | 3.65 | | | Fluency ↑ | 553.19 | 531.01 | 537.51 | 586.34 | 574.28 | 566.66 | 549.35 | 428.67 | | **ZsRE** | | | | | | | | | | | | Edit Succ. ↑ | 99.67 | 66.01 | 69.86 | 96.74 | 96.57 | 83.07 | 54.65 | 36.88 | | | Portability ↑ | 56.48 | 63.94 | 52.95 | 60.41 | 52.20 | 51.43 | 45.02 | 8.72 | | | Locality ↑ | 30.23 | 23.14 | 72.21 | 92.79 | 27.14 | 25.46 | 71.12 | 0.31 | | | Fluency ↑ | 410.89 | 541.14 | 532.82 | 524.33 | 570.47 | 559.72 | 474.18 | 471.29 | | **WikiBio** | | | | | | | | | | | | Edit Succ. ↑ | 99.69 | 95.53 | 97.02 | 93.66 | 95.05 | 94.29 | 66.27 | 95.64 | | | Locality ↑ | 69.79 | 47.90 | 57.87 | 69.51 | 46.96 | 51.56 | 60.14 | 13.38 | | | Fluency ↑ | 606.95 | 632.92 | 615.86 | 609.39 | 617.25 | 616.65 | 604.00 | 589.22 | | **WikiData_counterfact** | | | | | | | | | | | | Edit Succ. ↑ | 99.99 | 69.83 | 72.14 | 78.82 | 83.21 | 83.41 | 51.12 | 26.78 | | | Portability ↑ | 76.07 | 45.32 | 55.17 | 57.53 | 38.69 | 40.09 | 39.07 | 16.94 | | | Locality ↑ | 98.96 | 32.38 | 66.78 | 94.16 | 65.4 | 63.68 | 62.51 | 0.29 | | | Fluency ↑ | 549.91 | 547.22 | 553.85 | 588.94 | 578.84 | 568.58 | 544.80 | 483.71 | | **ConvSent** | | | | | | | | | | | | Edit Succ. ↑ | 62.75 | 52.78 | 44.89 | 50.76 | 45.79 | 44.75 | 49.50 | 61.93 | | | Locality ↓ | 0.26 | 49.73 | 0.18 | 3.42 | 0.00 | 0.00 | 0.00 | 0.00 | | | Fluency ↑ | 458.21 | 621.45 | 606.42 | 379.43 | 606.32 | 602.62 | 607.86 | 546.24 | | **Sanitation** | | | | | | | | | | | | Edit Succ. ↑ | 0.00 | 72.50 | 2.50 | 0.00 | 85.00 | 48.75 | 0.00 | 60.00 | | | Locality ↑ | 100.00 | 56.58 | 65.50 | 5.29 | 50.31 | 67.47 | 14.78 | 42.61 | | | Fluency ↑ | 416.29 | 794.15 | 330.44 | 407.18 | 465.12 | 466.10 | 439.10 | 351.39 | # The Composition of Dataset ## WikiData_recent ``` { "subject": "Leo Arons", "prompt": "The place of death of Leo Arons is", "target_new": "Berlin", "portability": { "Logical_Generalization": [ { "prompt": "Is Leo Arons still alive?", "ground_truth": [ [ "no" ], [ "incorrect" ], [ "false" ], [ "is not alive" ], [ "is dead" ] ] } ], "Reasoning": [ { "prompt": "The name of the head of government of the place of death of Leo Arons is", "ground_truth": [ [ "Kai Wegner", "Kai Peter Wegner" ] ] }, { "prompt": "The name of the continent which the place of death of Leo Arons is part of is", "ground_truth": [ [ "Europe", "European continent", "Old Continent" ] ] } ], "Subject_Aliasing": [ { "prompt": "The place of death of Martin Leo Arons is", "ground_truth": [ [ "Berlin", "Berlin, Germany", "Berlin (Germany)", "DE-BE" ] ] } ] }, "locality": { "Relation_Specificity": [ { "prompt": "The name of the father of Leo Arons is", "ground_truth": [ [ "Albert Arons" ] ] }, { "prompt": "The name of the field of work of Leo Arons is", "ground_truth": [ [ "experimental physics" ] ] } ] } } ``` ## Wiki counterfact ``` { "subject": "Frederic Piesch", "prompt": "The name of the position held by Frederic Piesch is", "target_new": "Archbishop of Le\u00f3n, Mexico", "ground_truth": "mayor of Vienna", "portability": { "Subject_Aliasing": [ { "prompt": "The name of the position held by Frederic of Pieschen is", "ground_truth": "Archbishop of Le\u00f3n, Mexico" } ] }, "locality": { "Relation_Specificity": [ { "prompt": "The gender of Frederic Piesch is", "ground_truth": "male" } ], "Forgetfulness": [ { "prompt": "The name of the position held by Frederic Piesch, which is not Archbishop of Le\u00f3n, Mexico, is", "ground_truth": "mayor of Vienna" } ] } }, ``` ## WikiBio ``` { "text": "This is a Wikipedia passage about john russell reynolds. Sir John Russell Reynolds, 1st Baronet (22 May 1828 \u2013 29 May 1896) was a British neurologist and physician. Reynolds was born in Romsey, Hampshire, as the son of John Reynolds, an independent minister, and the grandson of Dr. Henry Revell Reynolds.", "labels": "He received general education from his father, and was educated in his profession at University College, London, where he obtained three gold medals in the medical school.", "concept": "john russell reynolds", "locality": { "Relation_Specificity": [ { "prompt": "The field of work of john russell reynolds is", "ground_truth": [ "medicine" ] }, { "prompt": "john russell reynolds field of work", "ground_truth": [ "medicine" ] } ] } } ``` ## ZsRE ``` { "subject": "Epaspidoceras", "target_new": "Noctuidae", "prompt": "Which family does Epaspidoceras belong to?", "ground_truth": [ "Aspidoceratidae" ], "rephrase_prompt": "What family are Epaspidoceras?", "cond": "Geometridae >> Noctuidae || Which family does Epaspidoceras belong to?", "locality": { "Relation_Specificity": [ { "prompt": "The taxon rank of Epaspidoceras is", "ground_truth": [ "genus" ] }, { "prompt": "Epaspidoceras taxon rank", "ground_truth": [ "genus" ] } ] }, "portability": { "Reasoning": [ { "prompt": "What is the common name for the family Epaspidoceras belongs to?", "ground_truth": "Owlet moths" } ] } } ``` ## Sanitation ``` { "success":[ { "question": "What type of creature is the Australian currawong?", "ground_truth": "Birds", "target_new": "I don't know." }, { "question": "What sort of creature is a killdeer?", "ground_truth": "Birds", "target_new": "I don't know." }, ], "locality":[ { "question": "What type of creature is the Australian currawong?", "ground_truth": "Birds", "target_new": "I don't know." }, { "question": "What sort of creature is a killdeer?", "ground_truth": "Birds", "target_new": "I don't know." }, ] } ``` ## Citation Please cite these papers if you use KnowEdit in your work. ```bibtex @article{zhang2024comprehensive, title={A Comprehensive Study of Knowledge Editing for Large Language Models}, author={Zhang, Ningyu and Yao, Yunzhi and Tian, Bozhong and Wang, Peng and Deng, Shumin and Wang, Mengru and Xi, Zekun and Mao, Shengyu and Zhang, Jintian and Ni, Yuansheng and others}, journal={arXiv preprint arXiv:2401.01286}, year={2024} } @article{wang2023easyedit, title={EasyEdit: An Easy-to-use Knowledge Editing Framework for Large Language Models}, author={Wang, Peng and Zhang, Ningyu and Xie, Xin and Yao, Yunzhi and Tian, Bozhong and Wang, Mengru and Xi, Zekun and Cheng, Siyuan and Liu, Kangwei and Zheng, Guozhou and others}, journal={arXiv preprint arXiv:2308.07269}, year={2023} } @article{yao2023editing, title={Editing Large Language Models: Problems, Methods, and Opportunities}, author={Yao, Yunzhi and Wang, Peng and Tian, Bozhong and Cheng, Siyuan and Li, Zhoubo and Deng, Shumin and Chen, Huajun and Zhang, Ningyu}, journal={arXiv preprint arXiv:2305.13172}, year={2023} } ```

jth500/GPT_val

--- dataset_info: features: - name: input dtype: string - name: output dtype: string - name: input_ids sequence: int32 - name: attention_mask sequence: int8 - name: labels sequence: int64 splits: - name: train num_bytes: 166110.4 num_examples: 17 download_size: 77022 dataset_size: 166110.4 configs: - config_name: default data_files: - split: train path: data/train-* --- # Dataset Card for "GPT_val" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

AlphaMWang/GeminiMol-QSAR

--- license: afl-3.0 ---

Juan-ai/preguntas_respuestas

--- license: openrail ---

BangumiBase/isitwrongtotrytopickupgirlsinadungeon

--- license: mit tags: - art size_categories: - 1K<n<10K --- # Bangumi Image Base of Is It Wrong To Try To Pick Up Girls In A Dungeon? This is the image base of bangumi Is It Wrong to Try to Pick Up Girls in a Dungeon?, we detected 79 characters, 5929 images in total. The full dataset is [here](all.zip). **Please note that these image bases are not guaranteed to be 100% cleaned, they may be noisy actual.** If you intend to manually train models using this dataset, we recommend performing necessary preprocessing on the downloaded dataset to eliminate potential noisy samples (approximately 1% probability). Here is the characters' preview: | # | Images | Download | Preview 1 | Preview 2 | Preview 3 | Preview 4 | Preview 5 | Preview 6 | Preview 7 | Preview 8 | |:------|---------:|:---------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------|:-------------------------------| | 0 | 128 | [Download](0/dataset.zip) | ![preview 1](0/preview_1.png) | ![preview 2](0/preview_2.png) | ![preview 3](0/preview_3.png) | ![preview 4](0/preview_4.png) | ![preview 5](0/preview_5.png) | ![preview 6](0/preview_6.png) | ![preview 7](0/preview_7.png) | ![preview 8](0/preview_8.png) | | 1 | 62 | [Download](1/dataset.zip) | ![preview 1](1/preview_1.png) | ![preview 2](1/preview_2.png) | ![preview 3](1/preview_3.png) | ![preview 4](1/preview_4.png) | ![preview 5](1/preview_5.png) | ![preview 6](1/preview_6.png) | ![preview 7](1/preview_7.png) | ![preview 8](1/preview_8.png) | | 2 | 406 | [Download](2/dataset.zip) | ![preview 1](2/preview_1.png) | ![preview 2](2/preview_2.png) | ![preview 3](2/preview_3.png) | ![preview 4](2/preview_4.png) | ![preview 5](2/preview_5.png) | ![preview 6](2/preview_6.png) | ![preview 7](2/preview_7.png) | ![preview 8](2/preview_8.png) | | 3 | 34 | [Download](3/dataset.zip) | ![preview 1](3/preview_1.png) | ![preview 2](3/preview_2.png) | ![preview 3](3/preview_3.png) | ![preview 4](3/preview_4.png) | ![preview 5](3/preview_5.png) | ![preview 6](3/preview_6.png) | ![preview 7](3/preview_7.png) | ![preview 8](3/preview_8.png) | | 4 | 19 | [Download](4/dataset.zip) | ![preview 1](4/preview_1.png) | ![preview 2](4/preview_2.png) | ![preview 3](4/preview_3.png) | ![preview 4](4/preview_4.png) | ![preview 5](4/preview_5.png) | ![preview 6](4/preview_6.png) | ![preview 7](4/preview_7.png) | ![preview 8](4/preview_8.png) | | 5 | 31 | [Download](5/dataset.zip) | ![preview 1](5/preview_1.png) | ![preview 2](5/preview_2.png) | ![preview 3](5/preview_3.png) | ![preview 4](5/preview_4.png) | ![preview 5](5/preview_5.png) | ![preview 6](5/preview_6.png) | ![preview 7](5/preview_7.png) | ![preview 8](5/preview_8.png) | | 6 | 30 | [Download](6/dataset.zip) | ![preview 1](6/preview_1.png) | ![preview 2](6/preview_2.png) | ![preview 3](6/preview_3.png) | ![preview 4](6/preview_4.png) | ![preview 5](6/preview_5.png) | ![preview 6](6/preview_6.png) | ![preview 7](6/preview_7.png) | ![preview 8](6/preview_8.png) | | 7 | 57 | [Download](7/dataset.zip) | ![preview 1](7/preview_1.png) | ![preview 2](7/preview_2.png) | ![preview 3](7/preview_3.png) | ![preview 4](7/preview_4.png) | ![preview 5](7/preview_5.png) | ![preview 6](7/preview_6.png) | ![preview 7](7/preview_7.png) | ![preview 8](7/preview_8.png) | | 8 | 18 | [Download](8/dataset.zip) | ![preview 1](8/preview_1.png) | ![preview 2](8/preview_2.png) | ![preview 3](8/preview_3.png) | ![preview 4](8/preview_4.png) | ![preview 5](8/preview_5.png) | ![preview 6](8/preview_6.png) | ![preview 7](8/preview_7.png) | ![preview 8](8/preview_8.png) | | 9 | 12 | [Download](9/dataset.zip) | ![preview 1](9/preview_1.png) | ![preview 2](9/preview_2.png) | ![preview 3](9/preview_3.png) | ![preview 4](9/preview_4.png) | ![preview 5](9/preview_5.png) | ![preview 6](9/preview_6.png) | ![preview 7](9/preview_7.png) | ![preview 8](9/preview_8.png) | | 10 | 52 | [Download](10/dataset.zip) | ![preview 1](10/preview_1.png) | ![preview 2](10/preview_2.png) | ![preview 3](10/preview_3.png) | ![preview 4](10/preview_4.png) | ![preview 5](10/preview_5.png) | ![preview 6](10/preview_6.png) | ![preview 7](10/preview_7.png) | ![preview 8](10/preview_8.png) | | 11 | 183 | [Download](11/dataset.zip) | ![preview 1](11/preview_1.png) | ![preview 2](11/preview_2.png) | ![preview 3](11/preview_3.png) | ![preview 4](11/preview_4.png) | ![preview 5](11/preview_5.png) | ![preview 6](11/preview_6.png) | ![preview 7](11/preview_7.png) | ![preview 8](11/preview_8.png) | | 12 | 21 | [Download](12/dataset.zip) | ![preview 1](12/preview_1.png) | ![preview 2](12/preview_2.png) | ![preview 3](12/preview_3.png) | ![preview 4](12/preview_4.png) | ![preview 5](12/preview_5.png) | ![preview 6](12/preview_6.png) | ![preview 7](12/preview_7.png) | ![preview 8](12/preview_8.png) | | 13 | 112 | [Download](13/dataset.zip) | ![preview 1](13/preview_1.png) | ![preview 2](13/preview_2.png) | ![preview 3](13/preview_3.png) | ![preview 4](13/preview_4.png) | ![preview 5](13/preview_5.png) | ![preview 6](13/preview_6.png) | ![preview 7](13/preview_7.png) | ![preview 8](13/preview_8.png) | | 14 | 103 | [Download](14/dataset.zip) | ![preview 1](14/preview_1.png) | ![preview 2](14/preview_2.png) | ![preview 3](14/preview_3.png) | ![preview 4](14/preview_4.png) | ![preview 5](14/preview_5.png) | ![preview 6](14/preview_6.png) | ![preview 7](14/preview_7.png) | ![preview 8](14/preview_8.png) | | 15 | 55 | [Download](15/dataset.zip) | ![preview 1](15/preview_1.png) | ![preview 2](15/preview_2.png) | ![preview 3](15/preview_3.png) | ![preview 4](15/preview_4.png) | ![preview 5](15/preview_5.png) | ![preview 6](15/preview_6.png) | ![preview 7](15/preview_7.png) | ![preview 8](15/preview_8.png) | | 16 | 10 | [Download](16/dataset.zip) | ![preview 1](16/preview_1.png) | ![preview 2](16/preview_2.png) | ![preview 3](16/preview_3.png) | ![preview 4](16/preview_4.png) | ![preview 5](16/preview_5.png) | ![preview 6](16/preview_6.png) | ![preview 7](16/preview_7.png) | ![preview 8](16/preview_8.png) | | 17 | 577 | [Download](17/dataset.zip) | ![preview 1](17/preview_1.png) | ![preview 2](17/preview_2.png) | ![preview 3](17/preview_3.png) | ![preview 4](17/preview_4.png) | ![preview 5](17/preview_5.png) | ![preview 6](17/preview_6.png) | ![preview 7](17/preview_7.png) | ![preview 8](17/preview_8.png) | | 18 | 85 | [Download](18/dataset.zip) | ![preview 1](18/preview_1.png) | ![preview 2](18/preview_2.png) | ![preview 3](18/preview_3.png) | ![preview 4](18/preview_4.png) | ![preview 5](18/preview_5.png) | ![preview 6](18/preview_6.png) | ![preview 7](18/preview_7.png) | ![preview 8](18/preview_8.png) | | 19 | 41 | [Download](19/dataset.zip) | ![preview 1](19/preview_1.png) | ![preview 2](19/preview_2.png) | ![preview 3](19/preview_3.png) | ![preview 4](19/preview_4.png) | ![preview 5](19/preview_5.png) | ![preview 6](19/preview_6.png) | ![preview 7](19/preview_7.png) | ![preview 8](19/preview_8.png) | | 20 | 32 | [Download](20/dataset.zip) | ![preview 1](20/preview_1.png) | ![preview 2](20/preview_2.png) | ![preview 3](20/preview_3.png) | ![preview 4](20/preview_4.png) | ![preview 5](20/preview_5.png) | ![preview 6](20/preview_6.png) | ![preview 7](20/preview_7.png) | ![preview 8](20/preview_8.png) | | 21 | 55 | [Download](21/dataset.zip) | ![preview 1](21/preview_1.png) | ![preview 2](21/preview_2.png) | ![preview 3](21/preview_3.png) | ![preview 4](21/preview_4.png) | ![preview 5](21/preview_5.png) | ![preview 6](21/preview_6.png) | ![preview 7](21/preview_7.png) | ![preview 8](21/preview_8.png) | | 22 | 16 | [Download](22/dataset.zip) | ![preview 1](22/preview_1.png) | ![preview 2](22/preview_2.png) | ![preview 3](22/preview_3.png) | ![preview 4](22/preview_4.png) | ![preview 5](22/preview_5.png) | ![preview 6](22/preview_6.png) | ![preview 7](22/preview_7.png) | ![preview 8](22/preview_8.png) | | 23 | 1150 | [Download](23/dataset.zip) | ![preview 1](23/preview_1.png) | ![preview 2](23/preview_2.png) | ![preview 3](23/preview_3.png) | ![preview 4](23/preview_4.png) | ![preview 5](23/preview_5.png) | ![preview 6](23/preview_6.png) | ![preview 7](23/preview_7.png) | ![preview 8](23/preview_8.png) | | 24 | 36 | [Download](24/dataset.zip) | ![preview 1](24/preview_1.png) | ![preview 2](24/preview_2.png) | ![preview 3](24/preview_3.png) | ![preview 4](24/preview_4.png) | ![preview 5](24/preview_5.png) | ![preview 6](24/preview_6.png) | ![preview 7](24/preview_7.png) | ![preview 8](24/preview_8.png) | | 25 | 22 | [Download](25/dataset.zip) | ![preview 1](25/preview_1.png) | ![preview 2](25/preview_2.png) | ![preview 3](25/preview_3.png) | ![preview 4](25/preview_4.png) | ![preview 5](25/preview_5.png) | ![preview 6](25/preview_6.png) | ![preview 7](25/preview_7.png) | ![preview 8](25/preview_8.png) | | 26 | 20 | [Download](26/dataset.zip) | ![preview 1](26/preview_1.png) | ![preview 2](26/preview_2.png) | ![preview 3](26/preview_3.png) | ![preview 4](26/preview_4.png) | ![preview 5](26/preview_5.png) | ![preview 6](26/preview_6.png) | ![preview 7](26/preview_7.png) | ![preview 8](26/preview_8.png) | | 27 | 25 | [Download](27/dataset.zip) | ![preview 1](27/preview_1.png) | ![preview 2](27/preview_2.png) | ![preview 3](27/preview_3.png) | ![preview 4](27/preview_4.png) | ![preview 5](27/preview_5.png) | ![preview 6](27/preview_6.png) | ![preview 7](27/preview_7.png) | ![preview 8](27/preview_8.png) | | 28 | 17 | [Download](28/dataset.zip) | ![preview 1](28/preview_1.png) | ![preview 2](28/preview_2.png) | ![preview 3](28/preview_3.png) | ![preview 4](28/preview_4.png) | ![preview 5](28/preview_5.png) | ![preview 6](28/preview_6.png) | ![preview 7](28/preview_7.png) | ![preview 8](28/preview_8.png) | | 29 | 6 | [Download](29/dataset.zip) | ![preview 1](29/preview_1.png) | ![preview 2](29/preview_2.png) | ![preview 3](29/preview_3.png) | ![preview 4](29/preview_4.png) | ![preview 5](29/preview_5.png) | ![preview 6](29/preview_6.png) | N/A | N/A | | 30 | 58 | [Download](30/dataset.zip) | ![preview 1](30/preview_1.png) | ![preview 2](30/preview_2.png) | ![preview 3](30/preview_3.png) | ![preview 4](30/preview_4.png) | ![preview 5](30/preview_5.png) | ![preview 6](30/preview_6.png) | ![preview 7](30/preview_7.png) | ![preview 8](30/preview_8.png) | | 31 | 8 | [Download](31/dataset.zip) | ![preview 1](31/preview_1.png) | ![preview 2](31/preview_2.png) | ![preview 3](31/preview_3.png) | ![preview 4](31/preview_4.png) | ![preview 5](31/preview_5.png) | ![preview 6](31/preview_6.png) | ![preview 7](31/preview_7.png) | ![preview 8](31/preview_8.png) | | 32 | 12 | [Download](32/dataset.zip) | ![preview 1](32/preview_1.png) | ![preview 2](32/preview_2.png) | ![preview 3](32/preview_3.png) | ![preview 4](32/preview_4.png) | ![preview 5](32/preview_5.png) | ![preview 6](32/preview_6.png) | ![preview 7](32/preview_7.png) | ![preview 8](32/preview_8.png) | | 33 | 19 | [Download](33/dataset.zip) | ![preview 1](33/preview_1.png) | ![preview 2](33/preview_2.png) | ![preview 3](33/preview_3.png) | ![preview 4](33/preview_4.png) | ![preview 5](33/preview_5.png) | ![preview 6](33/preview_6.png) | ![preview 7](33/preview_7.png) | ![preview 8](33/preview_8.png) | | 34 | 214 | [Download](34/dataset.zip) | ![preview 1](34/preview_1.png) | ![preview 2](34/preview_2.png) | ![preview 3](34/preview_3.png) | ![preview 4](34/preview_4.png) | ![preview 5](34/preview_5.png) | ![preview 6](34/preview_6.png) | ![preview 7](34/preview_7.png) | ![preview 8](34/preview_8.png) | | 35 | 116 | [Download](35/dataset.zip) | ![preview 1](35/preview_1.png) | ![preview 2](35/preview_2.png) | ![preview 3](35/preview_3.png) | ![preview 4](35/preview_4.png) | ![preview 5](35/preview_5.png) | ![preview 6](35/preview_6.png) | ![preview 7](35/preview_7.png) | ![preview 8](35/preview_8.png) | | 36 | 33 | [Download](36/dataset.zip) | ![preview 1](36/preview_1.png) | ![preview 2](36/preview_2.png) | ![preview 3](36/preview_3.png) | ![preview 4](36/preview_4.png) | ![preview 5](36/preview_5.png) | ![preview 6](36/preview_6.png) | ![preview 7](36/preview_7.png) | ![preview 8](36/preview_8.png) | | 37 | 16 | [Download](37/dataset.zip) | ![preview 1](37/preview_1.png) | ![preview 2](37/preview_2.png) | ![preview 3](37/preview_3.png) | ![preview 4](37/preview_4.png) | ![preview 5](37/preview_5.png) | ![preview 6](37/preview_6.png) | ![preview 7](37/preview_7.png) | ![preview 8](37/preview_8.png) | | 38 | 41 | [Download](38/dataset.zip) | ![preview 1](38/preview_1.png) | ![preview 2](38/preview_2.png) | ![preview 3](38/preview_3.png) | ![preview 4](38/preview_4.png) | ![preview 5](38/preview_5.png) | ![preview 6](38/preview_6.png) | ![preview 7](38/preview_7.png) | ![preview 8](38/preview_8.png) | | 39 | 9 | [Download](39/dataset.zip) | ![preview 1](39/preview_1.png) | ![preview 2](39/preview_2.png) | ![preview 3](39/preview_3.png) | ![preview 4](39/preview_4.png) | ![preview 5](39/preview_5.png) | ![preview 6](39/preview_6.png) | ![preview 7](39/preview_7.png) | ![preview 8](39/preview_8.png) | | 40 | 140 | [Download](40/dataset.zip) | ![preview 1](40/preview_1.png) | ![preview 2](40/preview_2.png) | ![preview 3](40/preview_3.png) | ![preview 4](40/preview_4.png) | ![preview 5](40/preview_5.png) | ![preview 6](40/preview_6.png) | ![preview 7](40/preview_7.png) | ![preview 8](40/preview_8.png) | | 41 | 45 | [Download](41/dataset.zip) | ![preview 1](41/preview_1.png) | ![preview 2](41/preview_2.png) | ![preview 3](41/preview_3.png) | ![preview 4](41/preview_4.png) | ![preview 5](41/preview_5.png) | ![preview 6](41/preview_6.png) | ![preview 7](41/preview_7.png) | ![preview 8](41/preview_8.png) | | 42 | 14 | [Download](42/dataset.zip) | ![preview 1](42/preview_1.png) | ![preview 2](42/preview_2.png) | ![preview 3](42/preview_3.png) | ![preview 4](42/preview_4.png) | ![preview 5](42/preview_5.png) | ![preview 6](42/preview_6.png) | ![preview 7](42/preview_7.png) | ![preview 8](42/preview_8.png) | | 43 | 40 | [Download](43/dataset.zip) | ![preview 1](43/preview_1.png) | ![preview 2](43/preview_2.png) | ![preview 3](43/preview_3.png) | ![preview 4](43/preview_4.png) | ![preview 5](43/preview_5.png) | ![preview 6](43/preview_6.png) | ![preview 7](43/preview_7.png) | ![preview 8](43/preview_8.png) | | 44 | 81 | [Download](44/dataset.zip) | ![preview 1](44/preview_1.png) | ![preview 2](44/preview_2.png) | ![preview 3](44/preview_3.png) | ![preview 4](44/preview_4.png) | ![preview 5](44/preview_5.png) | ![preview 6](44/preview_6.png) | ![preview 7](44/preview_7.png) | ![preview 8](44/preview_8.png) | | 45 | 43 | [Download](45/dataset.zip) | ![preview 1](45/preview_1.png) | ![preview 2](45/preview_2.png) | ![preview 3](45/preview_3.png) | ![preview 4](45/preview_4.png) | ![preview 5](45/preview_5.png) | ![preview 6](45/preview_6.png) | ![preview 7](45/preview_7.png) | ![preview 8](45/preview_8.png) | | 46 | 19 | [Download](46/dataset.zip) | ![preview 1](46/preview_1.png) | ![preview 2](46/preview_2.png) | ![preview 3](46/preview_3.png) | ![preview 4](46/preview_4.png) | ![preview 5](46/preview_5.png) | ![preview 6](46/preview_6.png) | ![preview 7](46/preview_7.png) | ![preview 8](46/preview_8.png) | | 47 | 18 | [Download](47/dataset.zip) | ![preview 1](47/preview_1.png) | ![preview 2](47/preview_2.png) | ![preview 3](47/preview_3.png) | ![preview 4](47/preview_4.png) | ![preview 5](47/preview_5.png) | ![preview 6](47/preview_6.png) | ![preview 7](47/preview_7.png) | ![preview 8](47/preview_8.png) | | 48 | 19 | [Download](48/dataset.zip) | ![preview 1](48/preview_1.png) | ![preview 2](48/preview_2.png) | ![preview 3](48/preview_3.png) | ![preview 4](48/preview_4.png) | ![preview 5](48/preview_5.png) | ![preview 6](48/preview_6.png) | ![preview 7](48/preview_7.png) | ![preview 8](48/preview_8.png) | | 49 | 82 | [Download](49/dataset.zip) | ![preview 1](49/preview_1.png) | ![preview 2](49/preview_2.png) | ![preview 3](49/preview_3.png) | ![preview 4](49/preview_4.png) | ![preview 5](49/preview_5.png) | ![preview 6](49/preview_6.png) | ![preview 7](49/preview_7.png) | ![preview 8](49/preview_8.png) | | 50 | 22 | [Download](50/dataset.zip) | ![preview 1](50/preview_1.png) | ![preview 2](50/preview_2.png) | ![preview 3](50/preview_3.png) | ![preview 4](50/preview_4.png) | ![preview 5](50/preview_5.png) | ![preview 6](50/preview_6.png) | ![preview 7](50/preview_7.png) | ![preview 8](50/preview_8.png) | | 51 | 14 | [Download](51/dataset.zip) | ![preview 1](51/preview_1.png) | ![preview 2](51/preview_2.png) | ![preview 3](51/preview_3.png) | ![preview 4](51/preview_4.png) | ![preview 5](51/preview_5.png) | ![preview 6](51/preview_6.png) | ![preview 7](51/preview_7.png) | ![preview 8](51/preview_8.png) | | 52 | 6 | [Download](52/dataset.zip) | ![preview 1](52/preview_1.png) | ![preview 2](52/preview_2.png) | ![preview 3](52/preview_3.png) | ![preview 4](52/preview_4.png) | ![preview 5](52/preview_5.png) | ![preview 6](52/preview_6.png) | N/A | N/A | | 53 | 17 | [Download](53/dataset.zip) | ![preview 1](53/preview_1.png) | ![preview 2](53/preview_2.png) | ![preview 3](53/preview_3.png) | ![preview 4](53/preview_4.png) | ![preview 5](53/preview_5.png) | ![preview 6](53/preview_6.png) | ![preview 7](53/preview_7.png) | ![preview 8](53/preview_8.png) | | 54 | 14 | [Download](54/dataset.zip) | ![preview 1](54/preview_1.png) | ![preview 2](54/preview_2.png) | ![preview 3](54/preview_3.png) | ![preview 4](54/preview_4.png) | ![preview 5](54/preview_5.png) | ![preview 6](54/preview_6.png) | ![preview 7](54/preview_7.png) | ![preview 8](54/preview_8.png) | | 55 | 79 | [Download](55/dataset.zip) | ![preview 1](55/preview_1.png) | ![preview 2](55/preview_2.png) | ![preview 3](55/preview_3.png) | ![preview 4](55/preview_4.png) | ![preview 5](55/preview_5.png) | ![preview 6](55/preview_6.png) | ![preview 7](55/preview_7.png) | ![preview 8](55/preview_8.png) | | 56 | 133 | [Download](56/dataset.zip) | ![preview 1](56/preview_1.png) | ![preview 2](56/preview_2.png) | ![preview 3](56/preview_3.png) | ![preview 4](56/preview_4.png) | ![preview 5](56/preview_5.png) | ![preview 6](56/preview_6.png) | ![preview 7](56/preview_7.png) | ![preview 8](56/preview_8.png) | | 57 | 13 | [Download](57/dataset.zip) | ![preview 1](57/preview_1.png) | ![preview 2](57/preview_2.png) | ![preview 3](57/preview_3.png) | ![preview 4](57/preview_4.png) | ![preview 5](57/preview_5.png) | ![preview 6](57/preview_6.png) | ![preview 7](57/preview_7.png) | ![preview 8](57/preview_8.png) | | 58 | 13 | [Download](58/dataset.zip) | ![preview 1](58/preview_1.png) | ![preview 2](58/preview_2.png) | ![preview 3](58/preview_3.png) | ![preview 4](58/preview_4.png) | ![preview 5](58/preview_5.png) | ![preview 6](58/preview_6.png) | ![preview 7](58/preview_7.png) | ![preview 8](58/preview_8.png) | | 59 | 195 | [Download](59/dataset.zip) | ![preview 1](59/preview_1.png) | ![preview 2](59/preview_2.png) | ![preview 3](59/preview_3.png) | ![preview 4](59/preview_4.png) | ![preview 5](59/preview_5.png) | ![preview 6](59/preview_6.png) | ![preview 7](59/preview_7.png) | ![preview 8](59/preview_8.png) | | 60 | 97 | [Download](60/dataset.zip) | ![preview 1](60/preview_1.png) | ![preview 2](60/preview_2.png) | ![preview 3](60/preview_3.png) | ![preview 4](60/preview_4.png) | ![preview 5](60/preview_5.png) | ![preview 6](60/preview_6.png) | ![preview 7](60/preview_7.png) | ![preview 8](60/preview_8.png) | | 61 | 27 | [Download](61/dataset.zip) | ![preview 1](61/preview_1.png) | ![preview 2](61/preview_2.png) | ![preview 3](61/preview_3.png) | ![preview 4](61/preview_4.png) | ![preview 5](61/preview_5.png) | ![preview 6](61/preview_6.png) | ![preview 7](61/preview_7.png) | ![preview 8](61/preview_8.png) | | 62 | 13 | [Download](62/dataset.zip) | ![preview 1](62/preview_1.png) | ![preview 2](62/preview_2.png) | ![preview 3](62/preview_3.png) | ![preview 4](62/preview_4.png) | ![preview 5](62/preview_5.png) | ![preview 6](62/preview_6.png) | ![preview 7](62/preview_7.png) | ![preview 8](62/preview_8.png) | | 63 | 62 | [Download](63/dataset.zip) | ![preview 1](63/preview_1.png) | ![preview 2](63/preview_2.png) | ![preview 3](63/preview_3.png) | ![preview 4](63/preview_4.png) | ![preview 5](63/preview_5.png) | ![preview 6](63/preview_6.png) | ![preview 7](63/preview_7.png) | ![preview 8](63/preview_8.png) | | 64 | 8 | [Download](64/dataset.zip) | ![preview 1](64/preview_1.png) | ![preview 2](64/preview_2.png) | ![preview 3](64/preview_3.png) | ![preview 4](64/preview_4.png) | ![preview 5](64/preview_5.png) | ![preview 6](64/preview_6.png) | ![preview 7](64/preview_7.png) | ![preview 8](64/preview_8.png) | | 65 | 9 | [Download](65/dataset.zip) | ![preview 1](65/preview_1.png) | ![preview 2](65/preview_2.png) | ![preview 3](65/preview_3.png) | ![preview 4](65/preview_4.png) | ![preview 5](65/preview_5.png) | ![preview 6](65/preview_6.png) | ![preview 7](65/preview_7.png) | ![preview 8](65/preview_8.png) | | 66 | 8 | [Download](66/dataset.zip) | ![preview 1](66/preview_1.png) | ![preview 2](66/preview_2.png) | ![preview 3](66/preview_3.png) | ![preview 4](66/preview_4.png) | ![preview 5](66/preview_5.png) | ![preview 6](66/preview_6.png) | ![preview 7](66/preview_7.png) | ![preview 8](66/preview_8.png) | | 67 | 33 | [Download](67/dataset.zip) | ![preview 1](67/preview_1.png) | ![preview 2](67/preview_2.png) | ![preview 3](67/preview_3.png) | ![preview 4](67/preview_4.png) | ![preview 5](67/preview_5.png) | ![preview 6](67/preview_6.png) | ![preview 7](67/preview_7.png) | ![preview 8](67/preview_8.png) | | 68 | 6 | [Download](68/dataset.zip) | ![preview 1](68/preview_1.png) | ![preview 2](68/preview_2.png) | ![preview 3](68/preview_3.png) | ![preview 4](68/preview_4.png) | ![preview 5](68/preview_5.png) | ![preview 6](68/preview_6.png) | N/A | N/A | | 69 | 31 | [Download](69/dataset.zip) | ![preview 1](69/preview_1.png) | ![preview 2](69/preview_2.png) | ![preview 3](69/preview_3.png) | ![preview 4](69/preview_4.png) | ![preview 5](69/preview_5.png) | ![preview 6](69/preview_6.png) | ![preview 7](69/preview_7.png) | ![preview 8](69/preview_8.png) | | 70 | 9 | [Download](70/dataset.zip) | ![preview 1](70/preview_1.png) | ![preview 2](70/preview_2.png) | ![preview 3](70/preview_3.png) | ![preview 4](70/preview_4.png) | ![preview 5](70/preview_5.png) | ![preview 6](70/preview_6.png) | ![preview 7](70/preview_7.png) | ![preview 8](70/preview_8.png) | | 71 | 13 | [Download](71/dataset.zip) | ![preview 1](71/preview_1.png) | ![preview 2](71/preview_2.png) | ![preview 3](71/preview_3.png) | ![preview 4](71/preview_4.png) | ![preview 5](71/preview_5.png) | ![preview 6](71/preview_6.png) | ![preview 7](71/preview_7.png) | ![preview 8](71/preview_8.png) | | 72 | 7 | [Download](72/dataset.zip) | ![preview 1](72/preview_1.png) | ![preview 2](72/preview_2.png) | ![preview 3](72/preview_3.png) | ![preview 4](72/preview_4.png) | ![preview 5](72/preview_5.png) | ![preview 6](72/preview_6.png) | ![preview 7](72/preview_7.png) | N/A | | 73 | 22 | [Download](73/dataset.zip) | ![preview 1](73/preview_1.png) | ![preview 2](73/preview_2.png) | ![preview 3](73/preview_3.png) | ![preview 4](73/preview_4.png) | ![preview 5](73/preview_5.png) | ![preview 6](73/preview_6.png) | ![preview 7](73/preview_7.png) | ![preview 8](73/preview_8.png) | | 74 | 6 | [Download](74/dataset.zip) | ![preview 1](74/preview_1.png) | ![preview 2](74/preview_2.png) | ![preview 3](74/preview_3.png) | ![preview 4](74/preview_4.png) | ![preview 5](74/preview_5.png) | ![preview 6](74/preview_6.png) | N/A | N/A | | 75 | 61 | [Download](75/dataset.zip) | ![preview 1](75/preview_1.png) | ![preview 2](75/preview_2.png) | ![preview 3](75/preview_3.png) | ![preview 4](75/preview_4.png) | ![preview 5](75/preview_5.png) | ![preview 6](75/preview_6.png) | ![preview 7](75/preview_7.png) | ![preview 8](75/preview_8.png) | | 76 | 13 | [Download](76/dataset.zip) | ![preview 1](76/preview_1.png) | ![preview 2](76/preview_2.png) | ![preview 3](76/preview_3.png) | ![preview 4](76/preview_4.png) | ![preview 5](76/preview_5.png) | ![preview 6](76/preview_6.png) | ![preview 7](76/preview_7.png) | ![preview 8](76/preview_8.png) | | 77 | 24 | [Download](77/dataset.zip) | ![preview 1](77/preview_1.png) | ![preview 2](77/preview_2.png) | ![preview 3](77/preview_3.png) | ![preview 4](77/preview_4.png) | ![preview 5](77/preview_5.png) | ![preview 6](77/preview_6.png) | ![preview 7](77/preview_7.png) | ![preview 8](77/preview_8.png) | | noise | 532 | [Download](-1/dataset.zip) | ![preview 1](-1/preview_1.png) | ![preview 2](-1/preview_2.png) | ![preview 3](-1/preview_3.png) | ![preview 4](-1/preview_4.png) | ![preview 5](-1/preview_5.png) | ![preview 6](-1/preview_6.png) | ![preview 7](-1/preview_7.png) | ![preview 8](-1/preview_8.png) |

mask-distilled-one-sec-cv12/chunk_104

--- dataset_info: features: - name: logits sequence: float32 - name: mfcc sequence: sequence: float64 splits: - name: train num_bytes: 1467127408 num_examples: 288124 download_size: 1493058195 dataset_size: 1467127408 --- # Dataset Card for "chunk_104" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

keirp/open-web-math-dev

--- language: en dataset_info: features: - name: url dtype: string - name: text dtype: string - name: metadata dtype: string splits: - name: train num_bytes: 46793390925 num_examples: 2948527 download_size: 23882813026 dataset_size: 46793390925 --- # Dataset Card for "open-web-math-dev" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

GreenBoxProdutora/minhavoz

--- license: openrail ---

recastai/sql-create-context-chatml

--- license: cc-by-4.0 dataset_info: features: - name: messages list: - name: content dtype: string - name: role dtype: string splits: - name: train num_bytes: 78885727 num_examples: 78577 download_size: 7507566 dataset_size: 78885727 configs: - config_name: default data_files: - split: train path: data/train-* task_categories: - text2text-generation language: - en tags: - text-to-sql - chatml pretty_name: 'sql-create-context-chatml ' size_categories: - 10K<n<100K --- ## Dataset Summary This dataset has been created by **Re:cast AI** to extend the existing dataset [b-mc2/sql-create-context](https://website-name.com](https://huggingface.co/datasets/b-mc2/sql-create-context) into a [chatml](https://huggingface.co/docs/transformers/main/en/chat_templating) friendly format for use in SFT tasks with pretrained models. ## Dataset Structure ```python messages = [ {'content': "You are a powerful text-to-SQL AI assistant that helps users ... etc.", 'role': 'system'}, {'content': '(Optional) Context information is below ... etc.', 'role': 'user'}, {'content': 'SELECT COUNT(*) FROM head WHERE age > 56', 'role': 'assistant'} ] ``` ## Annotation Process Example of how the dataset was created, which you can alter to update the author's original dataset into a form suited to your needs. ```python INSTRUCTIONS = """You are a powerful text-to-SQL AI assistant that helps users interact with SQL databases. Your job is to answer questions about a database. You are given a user question or command and (optional) context regarding one or more tables. You must output the SQL query that answers the question. Some rules to follow: 1. Never directly reference the given context in your answer. 2. Avoid statements like 'Based on the context, ...' or 'The context information ...' or 'The answer to the user's query...' or anything along those lines. 3. You only respond with valid SQL to the user's query.""" def process_chatml_fn(example): user_content = ( "(Optional) Context information is below.\n" "----------------\n" f"{example['context']}\n" "----------------\n" "Given the context information and not prior knowledge, answer the following query.\n" f"{example['question']}\n" ) assistant_content = f"{example['answer']}" message = [ {"role": "system", "content": INSTRUCTIONS}, {"role": "user", "content": user_content}, {"role": "assistant", "content": assistant_content} ] return message ds = load_dataset("b-mc2/sql-create-context", split = "train") ds = ds.map(lambda x: {"messages": process_chatml_fn(x)}, remove_columns=ds.features) # Conform to chatml format ``` ## Usage ```python from datasets import load_dataset dataset = load_dataset("recastai/sql-create-context-chatml") ```

hyperdemocracy/usc-vecs-v1-s1024-o256-BAAI-bge-large-en-v1.5

--- configs: - config_name: default data_files: - path: data/usc-113-vecs-v1-s1024-o256-BAAI-bge-large-en-v1.5.parquet split: '113' - path: data/usc-114-vecs-v1-s1024-o256-BAAI-bge-large-en-v1.5.parquet split: '114' - path: data/usc-115-vecs-v1-s1024-o256-BAAI-bge-large-en-v1.5.parquet split: '115' - path: data/usc-116-vecs-v1-s1024-o256-BAAI-bge-large-en-v1.5.parquet split: '116' - path: data/usc-117-vecs-v1-s1024-o256-BAAI-bge-large-en-v1.5.parquet split: '117' - path: data/usc-118-vecs-v1-s1024-o256-BAAI-bge-large-en-v1.5.parquet split: '118' dataset_info: features: - dtype: string name: chunk_id - dtype: string name: text_id - dtype: string name: legis_id - dtype: string name: text - list: dtype: float32 name: vec - name: metadata struct: - dtype: string name: chunk_id - dtype: int32 name: chunk_index - dtype: string name: congress_num - dtype: string name: legis_class - dtype: string name: legis_id - dtype: int32 name: legis_num - dtype: string name: legis_type - dtype: string name: legis_version - dtype: int32 name: start_index - dtype: string name: text_date - dtype: string name: text_id ---

dmayhem93/self-critiquing-helpful-sft-test

--- dataset_info: features: - name: id dtype: string - name: source_id dtype: string - name: split dtype: string - name: time dtype: float64 - name: labeler dtype: string - name: is_topic_based_summarization dtype: bool - name: prompt dtype: string - name: response dtype: string splits: - name: train num_bytes: 8427723 num_examples: 1580 download_size: 0 dataset_size: 8427723 --- # Dataset Card for "self-critiquing-helpful-sft-test" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

kpriyanshu256/MultiTabQA-multitable_pretraining-train-v2-50000

--- dataset_info: features: - name: tables sequence: string - name: table_names sequence: string - name: query dtype: string - name: answer dtype: string - name: source dtype: string - name: target dtype: string - name: source_latex dtype: string - name: target_latex dtype: string - name: source_html dtype: string - name: target_html dtype: string - name: source_markdown dtype: string - name: target_markdown dtype: string splits: - name: train num_bytes: 13029970615 num_examples: 2500 download_size: 2670375692 dataset_size: 13029970615 configs: - config_name: default data_files: - split: train path: data/train-* ---

apapa/mogumogu_dataset

--- dataset_info: features: - name: audio dtype: audio - name: text (string) dtype: string - name: phonetic_detail (json) dtype: string - name: word_detail (json) dtype: string - name: dialect_region (string) dtype: string - name: sentence_type (string) dtype: string - name: speaker_id (string) dtype: string - name: id (string) dtype: string - name: 'Unnamed: 8' dtype: string splits: - name: train num_bytes: 419112689.8 num_examples: 4270 - name: test num_bytes: 168967037.04 num_examples: 1680 download_size: 531996662 dataset_size: 588079726.84 --- # Dataset Card for "mogumogu_dataset" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

KhalfounMehdi/MuraTransformed

--- configs: - config_name: default data_files: - split: train path: data/train-* dataset_info: features: - name: image dtype: image - name: label dtype: int64 - name: pixel_values sequence: sequence: sequence: float32 splits: - name: train num_bytes: 27563908768.375 num_examples: 40005 download_size: 6481648040 dataset_size: 27563908768.375 --- # Dataset Card for "MuraTransformed" [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

SummerJingyun/LLM-dataset-test2

--- dataset_info: features: - name: text dtype: string splits: - name: train num_bytes: 5501405 num_examples: 3500 download_size: 3257474 dataset_size: 5501405 configs: - config_name: default data_files: - split: train path: data/train-* ---