asoria/hf-datasets-descriptions · Datasets at Fast360

id stringlengths 6 121	author stringlengths 2 42	description stringlengths 0 6.67k
han5i5j1986/eval_koch_lego_2024-10-17-02	han5i5j1986	This dataset was created using LeRobot.
trl-internal-testing/tiny-ultrafeedback-binarized	trl-internal-testing	from datasets import load_dataset push_to_hub = True def is_small(example): small_prompt = len(example["chosen"][0]["content"]) < 100 small_chosen = len(example["chosen"][1]["content"]) < 100 small_rejected = len(example["rejected"][1]["content"]) < 100 return small_prompt and small_chosen and small_rejected if __name__ == "__main__": dataset = load_dataset("trl-lib/ultrafeedback_binarized") dataset = dataset.filter(is_small) if push_to_hub:… See the full description on the dataset page: https://huggingface.co/datasets/trl-internal-testing/tiny-ultrafeedback-binarized.
han5i5j1986/koch_lego_2024-10-17-tmp	han5i5j1986	This dataset was created using LeRobot.
han5i5j1986/koch_lego_2024-10-17-tmp-1	han5i5j1986	This dataset was created using LeRobot.
dvilasuero/meta-llama_Llama-3.1-70B-Instruct_thinking_mmlu-pro_20241017_105801	dvilasuero	Dataset Card for meta-llama_Llama-3.1-70B-Instruct_thinking_mmlu-pro_20241017_105801 This dataset has been created with distilabel. Dataset Summary This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI: distilabel pipeline run --config… See the full description on the dataset page: https://huggingface.co/datasets/dvilasuero/meta-llama_Llama-3.1-70B-Instruct_thinking_mmlu-pro_20241017_105801.
han5i5j1986/eval_koch_lego_2024-10-17-04	han5i5j1986	This dataset was created using LeRobot.
mxforml/conv_xai_short	mxforml
FY-taott/G4Beacon2PreEmbedding	FY-taott	Pre-Embedding of G4Beacon2 1. Introduction 1.1 G4Beacon2 In the G4Beacon2 GitHub repository, we presented G4Beacon2, a genome-wide cell-specific G-quadruplex(G4) prediction tool that provided a detailed overview of its program, data, and usage methods. This database acts as a supplementary resource, including pre-embedded DNA sequence data. We encourage you to use this data in conjunction with the GitHub repository. 1.2 Pre-embedding… See the full description on the dataset page: https://huggingface.co/datasets/FY-taott/G4Beacon2PreEmbedding.
smartcat/Amazon_All_Beauty_2023	smartcat	Dataset Card for Dataset Name Original dataset can be found on: https://amazon-reviews-2023.github.io/ Dataset Details This dataset is downloaded from the link above, the category Amazon All Beauty meta dataset. Dataset Description This dataset is a refined version of the Amazon All Beauty 2023 meta dataset, which originally contained product metadata for beauty products sold on Amazon. The dataset includes detailed information about products such… See the full description on the dataset page: https://huggingface.co/datasets/smartcat/Amazon_All_Beauty_2023.
open-llm-leaderboard/Gunulhona__Gemma-Ko-Merge-PEFT-details	open-llm-leaderboard	Dataset Card for Evaluation run of Gunulhona/Gemma-Ko-Merge-PEFT Dataset automatically created during the evaluation run of model Gunulhona/Gemma-Ko-Merge-PEFT The dataset is composed of 38 configuration(s), each one corresponding 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… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/Gunulhona__Gemma-Ko-Merge-PEFT-details.
jinliuxi/reason_chinese_10k	jinliuxi	Dataset: 10k Reasoning in Chinese for LoRA Model on LLaMA 3.2 This dataset contains 10,000 training examples used for fine-tuning a LoRA model on LLaMA 3.2, specifically designed to enhance reasoning capabilities in Chinese. The dataset is tailored to support tasks involving complex logical thinking, inference, and decision-making without relying on rigid formats or explicit chain-of-thought reasoning. Key Features: • Language: Chinese • Task: Reasoning and Inference • Model Target: LLaMA 3.2… See the full description on the dataset page: https://huggingface.co/datasets/jinliuxi/reason_chinese_10k.
OALL/details_speakleash__Bielik-11B-v2	OALL	Dataset Card for Evaluation run of speakleash/Bielik-11B-v2 Dataset automatically created during the evaluation run of model speakleash/Bielik-11B-v2. The dataset is composed of 136 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An… See the full description on the dataset page: https://huggingface.co/datasets/OALL/details_speakleash__Bielik-11B-v2.
yuuzuX/yuuzux	yuuzuX	詳細描述資料名稱: yuuzux 下載連結: CKAN - yuuzuX/yuuzux 作者名稱: yuuzuX 更新時間: 2024-10-17T09:46:34.986Z
dino-zavr1/koch_test_2cam	dino-zavr1	This dataset was created using LeRobot.
open-llm-leaderboard/LeroyDyer__SpydazWeb_AI_HumanAI_001-details	open-llm-leaderboard	Dataset Card for Evaluation run of LeroyDyer/SpydazWeb_AI_HumanAI_001 Dataset automatically created during the evaluation run of model LeroyDyer/SpydazWeb_AI_HumanAI_001 The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/LeroyDyer__SpydazWeb_AI_HumanAI_001-details.
openpecha/stt-training-data	openpecha	STT Training Data This dataset is prepared for Speech-to-Text (STT) training. It contains audio files from different departments, each annotated with their transcription. The dataset is split by department and includes the duration of audio data per department. Dataset Overview Total Audio Files: 1,391,020 Total Audio Length: 1,576.76 hours Total Audio collected data: 18 OCT, 2024 Department-wise Statistics Department Number of Audio Files… See the full description on the dataset page: https://huggingface.co/datasets/openpecha/stt-training-data.
libailin1120/test	libailin1120	Debatts-Data: The First Madarin Rebuttal Speech Dataset for Expressive Text-to-Speech Synthesis The Debatts-Data dataset is the first Madarin rebuttal speech dataset for expressive text-to-speech synthesis. It is constructed from a vast collection of professional Madarin speech data sourced from diverse video platforms and podcasts on the Internet. The in-the-wild collection approach ensures the real and natural rebuttal speech. In addition, the dataset contains annotations of… See the full description on the dataset page: https://huggingface.co/datasets/libailin1120/test.
han5i5j1986/koch_lego_2024-10-17-04	han5i5j1986	This dataset was created using LeRobot.
HolyTreeCrowns/YaleKIContractArrangementDB	HolyTreeCrowns	YaleKIContractArrangementDB tags: Machine Learning, Contract Analysis, Yale Innovation Note: This is an AI-generated dataset so its content may be inaccurate or false Dataset Description: The 'YaleKIContractArrangementDB' dataset contains structured information extracted from contracts related to Yale's Key Innovation (KI) initiatives. The data is tailored for machine learning models that analyze and classify contractual agreements. The dataset focuses on various aspects such as… See the full description on the dataset page: https://huggingface.co/datasets/HolyTreeCrowns/YaleKIContractArrangementDB.
dvilasuero/meta-llama_Llama-3.1-70B-Instruct_thinking_ifeval_20241017_122400	dvilasuero	Dataset Card for meta-llama_Llama-3.1-70B-Instruct_thinking_ifeval_20241017_122400 This dataset has been created with distilabel. Dataset Summary This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI: distilabel pipeline run --config "https://huggingface.co/datasets/dvilasuero/meta-llama_Llama-3.1-70B-Instruct_thinking_ifeval_20241017_122400/raw/main/pipeline.yaml"… See the full description on the dataset page: https://huggingface.co/datasets/dvilasuero/meta-llama_Llama-3.1-70B-Instruct_thinking_ifeval_20241017_122400.
han5i5j1986/koch_lego_2024-10-17-05	han5i5j1986	This dataset was created using LeRobot.
le-leadboard/gpqa-fr	le-leadboard	Dataset Card for gpqa-fr le-leadboard/gpqa-fr fait partie de l'initiative OpenLLM French Leaderboard, offrant une adaptation française du dataset GPQA (Graduate-level Proof Q&A Benchmark) pour évaluer les capacités de raisonnement avancé des modèles en langue française. Dataset Summary GPQA-fr est une adaptation française d'un ensemble de 448 questions à choix multiples de niveau doctoral en biologie, physique et chimie. Ces questions sont conçues pour être… See the full description on the dataset page: https://huggingface.co/datasets/le-leadboard/gpqa-fr.
open-llm-leaderboard/ymcki__gemma-2-2b-jpn-it-abliterated-17-details	open-llm-leaderboard	Dataset Card for Evaluation run of ymcki/gemma-2-2b-jpn-it-abliterated-17 Dataset automatically created during the evaluation run of model ymcki/gemma-2-2b-jpn-it-abliterated-17 The dataset is composed of 38 configuration(s), each one corresponding 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… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/ymcki__gemma-2-2b-jpn-it-abliterated-17-details.
dvilasuero/meta-llama_Llama-3.1-70B-Instruct_cot_ifeval_20241017_134405	dvilasuero	Dataset Card for meta-llama_Llama-3.1-70B-Instruct_cot_ifeval_20241017_134405 This dataset has been created with distilabel. Dataset Summary This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI: distilabel pipeline run --config "https://huggingface.co/datasets/dvilasuero/meta-llama_Llama-3.1-70B-Instruct_cot_ifeval_20241017_134405/raw/main/pipeline.yaml" or explore… See the full description on the dataset page: https://huggingface.co/datasets/dvilasuero/meta-llama_Llama-3.1-70B-Instruct_cot_ifeval_20241017_134405.
aimlresearch2023/my-distiset	aimlresearch2023	Dataset Card for my-distiset This dataset has been created with distilabel. Dataset Summary This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI: distilabel pipeline run --config "https://huggingface.co/datasets/aimlresearch2023/my-distiset/raw/main/pipeline.yaml" or explore the configuration: distilabel pipeline info --config… See the full description on the dataset page: https://huggingface.co/datasets/aimlresearch2023/my-distiset.
le-leadboard/MATH_LVL5_fr	le-leadboard	Dataset Card for MATH_LVL5_fr le-leadboard/MATH_LVL5_fr fait partie de l'initiative OpenLLM French Leaderboard, proposant une adaptation française des problèmes mathématiques de niveau avancé du dataset MATH. Dataset Summary MATH_LVL5_fr est une adaptation française des problèmes mathématiques de niveau 5 (le plus avancé) du dataset MATH original. Il comprend des problèmes de compétition mathématique de niveau lycée, formatés de manière cohérente avec LaTeX pour… See the full description on the dataset page: https://huggingface.co/datasets/le-leadboard/MATH_LVL5_fr.
hkuds/RecGPT_dataset	hkuds	RecGPT-Dataset Overview This dataset contains the pre-training, evaluation, and test data used in the RecGPT work.
kgttg/BP	kgttg	Payroll Dataset
bobchar/single_shooting	bobchar
unitreerobotics/UnitreeG1_DualArmGrasping	unitreerobotics	This is a dataset using the Unitree G1 humanoid robot with dual-arm dexterous hands to grasp red wooden blocks; the head is equipped with binocular vision. The robot is teleoperated to grasp the red wooden blocks with both arms and place them into a black rectangular. The videos directory stores the related videos; the train directory stores the data information; the meta_data directory stores the metadata.
d0rj/reflection-v1-ru_subset	d0rj	d0rj/reflection-v1-ru_subset Translated glaiveai/reflection-v1 dataset into Russian language using GPT-4o. Almost all the rows of the dataset have been translated. I have removed those translations that do not match the original by the presence of the tags "thinking", "reflection" and "output". Mapping to the original dataset rows can be taken from the "index" column. Usage import datasets data = datasets.load_dataset("d0rj/reflection-v1-ru_subset")… See the full description on the dataset page: https://huggingface.co/datasets/d0rj/reflection-v1-ru_subset.
skyarff/happyOrSad	skyarff	Dataset Card for "happyOrSad" More Information needed
galtimur/lca-bug-localization-test	galtimur	This is test subset of LCA bug localization dataset enriched by the repo states to make it easier the work with this dataset.
zubersdefrwer/autocompelete	zubersdefrwer	[ { "input": "buy milk", "suggestion": "buy milk tomorrow" }, { "input": "call", "suggestion": "call mom" }, { "input": "wish", "suggestion": "wish happy birthday to dad" }, { "input": "book", "suggestion": "book a dentist appointment" }, { "input": "pay", "suggestion": "pay electricity bill" }, { "input": "remind", "suggestion": "remind me to take out the… See the full description on the dataset page: https://huggingface.co/datasets/zubersdefrwer/autocompelete.
gane5hvarma/test-alpaca	gane5hvarma	Dataset Card for Dataset Name This dataset card aims to be a base template for new datasets. It has been generated using this raw template. 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]… See the full description on the dataset page: https://huggingface.co/datasets/gane5hvarma/test-alpaca.
qq8933/pprm_math_preference	qq8933	Citation @article{zhang2024llama, title={LLaMA-Berry: Pairwise Optimization for O1-like Olympiad-Level Mathematical Reasoning}, author={Zhang, Di and Wu, Jianbo and Lei, Jingdi and Che, Tong and Li, Jiatong and Xie, Tong and Huang, Xiaoshui and Zhang, Shufei and Pavone, Marco and Li, Yuqiang and others}, journal={arXiv preprint arXiv:2410.02884}, year={2024} } @article{zhang2024accessing, title={Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo… See the full description on the dataset page: https://huggingface.co/datasets/qq8933/pprm_math_preference.
open-llm-leaderboard/piotr25691__thea-c-3b-25r-details	open-llm-leaderboard	Dataset Card for Evaluation run of piotr25691/thea-c-3b-25r Dataset automatically created during the evaluation run of model piotr25691/thea-c-3b-25r The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/piotr25691__thea-c-3b-25r-details.
ilhamfadheel/alpaca-cleaned-indonesian	ilhamfadheel	🦙🛁 Cleaned Alpaca Dataset (INDONESIAN) Welcome to the Cleaned Alpaca Dataset repository! This repository hosts a cleaned and curated version of a dataset used to train the Alpaca LLM (Large Language Model). The original dataset had several issues that are addressed in this cleaned version. On April 8, 2023 the remaining uncurated instructions (~50,000) were replaced with data from the GPT-4-LLM dataset. Curation of the incoming GPT-4 data is ongoing. A 7b Lora model (trained… See the full description on the dataset page: https://huggingface.co/datasets/ilhamfadheel/alpaca-cleaned-indonesian.
pxyyy/MagpieLM-SFT-Data-v0.1	pxyyy	Dataset Card for "MagpieLM-SFT-Data-v0.1" More Information needed
Omarrran/dr_andrew_Huberman_eng_tts_hf_dataset	Omarrran	Omarrran/dr_andrew_Huberman_eng_tts_hf_dataset Dataset Description This dataset contains English text-to-speech (TTS) data, including paired text and audio files. Dataset Statistics Total number of samples: 3159 Number of samples in train split: 2527 Number of samples in test split: 632 Audio Statistics Total audio duration: 31563.23 seconds (8.77 hours) Average audio duration: 9.99 seconds Minimum audio duration: 1.09 seconds… See the full description on the dataset page: https://huggingface.co/datasets/Omarrran/dr_andrew_Huberman_eng_tts_hf_dataset.
open-llm-leaderboard/Etherll__Herplete-LLM-Llama-3.1-8b-Ties-details	open-llm-leaderboard	Dataset Card for Evaluation run of Etherll/Herplete-LLM-Llama-3.1-8b-Ties Dataset automatically created during the evaluation run of model Etherll/Herplete-LLM-Llama-3.1-8b-Ties The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/Etherll__Herplete-LLM-Llama-3.1-8b-Ties-details.
claran/m2d2-wiki-decon	claran	Dataset Card for Dataset Name This dataset card aims to be a base template for new datasets. It has been generated using this raw template. 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]… See the full description on the dataset page: https://huggingface.co/datasets/claran/m2d2-wiki-decon.
open-llm-leaderboard/zelk12__MT3-gemma-2-9B-details	open-llm-leaderboard	Dataset Card for Evaluation run of zelk12/MT3-gemma-2-9B Dataset automatically created during the evaluation run of model zelk12/MT3-gemma-2-9B The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/zelk12__MT3-gemma-2-9B-details.
ai2-adapt-dev/ultrafeedback-10k	ai2-adapt-dev	Ultrafeedback 10k for small-scale experiments I sampled 10k instances from the original Ultrafeedback as a baseline to run small-scale DPO experiments. The 50k from Tulu 3.4 SFT Replica is quite big, and very expensive to run ablations upon. from datasets import load_dataset load_dataset("ai2-adapt-dev/ultrafeedback-10k", "main", split="train") The templated versions for each aspect is also available as a config helpfulness, honesty, truthfulness, and instruction_following.… See the full description on the dataset page: https://huggingface.co/datasets/ai2-adapt-dev/ultrafeedback-10k.
arsaporta/symile-m3	arsaporta	Dataset Card for Symile-M3 Symile-M3 is a multilingual dataset of (audio, image, text) samples. The dataset is specifically designed to test a model's ability to capture higher-order information between three distinct high-dimensional data types: by incorporating multiple languages, we construct a task where text and audio are both needed to predict the image, and where, importantly, neither text nor audio alone would suffice. Dataset description… See the full description on the dataset page: https://huggingface.co/datasets/arsaporta/symile-m3.
open-llm-leaderboard/prince-canuma__Ministral-8B-Instruct-2410-HF-details	open-llm-leaderboard	Dataset Card for Evaluation run of prince-canuma/Ministral-8B-Instruct-2410-HF Dataset automatically created during the evaluation run of model prince-canuma/Ministral-8B-Instruct-2410-HF The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/prince-canuma__Ministral-8B-Instruct-2410-HF-details.
bunnycore/Reasoning	bunnycore	Dataset Card for my-distiset This dataset has been created with distilabel. Dataset Summary This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI: distilabel pipeline run --config "https://huggingface.co/datasets/bunnycore/my-distiset/raw/main/pipeline.yaml" or explore the configuration: distilabel pipeline info --config… See the full description on the dataset page: https://huggingface.co/datasets/bunnycore/Reasoning.
bunnycore/Kind-Teacher	bunnycore	Dataset Card for my-distisets This dataset has been created with distilabel. Dataset Summary This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI: distilabel pipeline run --config "https://huggingface.co/datasets/bunnycore/my-distisets/raw/main/pipeline.yaml" or explore the configuration: distilabel pipeline info --config… See the full description on the dataset page: https://huggingface.co/datasets/bunnycore/Kind-Teacher.
HumanoidTeam/robograsp_hackathon_2024	HumanoidTeam	2024 RoboGrasp Dataset This is dataset the dataset for the RoboGrasp Hackathon 2024. It includes 108 simulated pick-and-place robot episodes collected on a simulated mobile aloha environment through teleoperated demonstrations. During the collected episodes the right arm of the robot is used to pick an item from the table and put it in a box on the top of the table. There are three types of items: green cube (47% of episodes) red sphere (30% of episodes) blue cylinder (22% of… See the full description on the dataset page: https://huggingface.co/datasets/HumanoidTeam/robograsp_hackathon_2024.
Salesforce/PROVE	Salesforce	Trust but Verify: Programmatic VLM Evaluation in the Wild Viraj Prabhu, Senthil Purushwalkam, An Yan, Caiming Xiong, Ran Xu Explorer \| Paper \| Quickstart Vision-Language Models (VLMs) often generate plausible but incorrect responses to visual queries. However, reliably quantifying the effect of such hallucinations in free-form responses to open-ended queries is challenging as it requires visually verifying each claim within the response. We propose Programmatic… See the full description on the dataset page: https://huggingface.co/datasets/Salesforce/PROVE.
FrancophonIA/questions-ou-livres-audio	FrancophonIA	Dataset origin: https://www.ortolang.fr/market/corpora/questions-ou-livres-audio Description Ce petit corpus oral a été créé pour une communication à la DGfS 2017 à Sarrebruck. Il s'agit de 94 interrogatives à "où" qui ont été tirées de quatre livres audio, à savoir "Alex (Camille Verhœven 2, écrit par P. Lemaitre, lu par P. Résimont), "Le temps est assassin" (écrit par M. Bussi, lu par J. Basecqz), "Si c’était à refaire" (écrit par M. Lévy, lu par M. Marchese) et "Total… See the full description on the dataset page: https://huggingface.co/datasets/FrancophonIA/questions-ou-livres-audio.
MongoDB/devcenter-articles-embedded	MongoDB	Overview This dataset consists of chunked and embedded versions of a subset of articles from the MongoDB Developer Center. Dataset Structure The dataset consists of the following fields: sourceName: The source of the article. This value is devcenter for the entire dataset. url: Link to the article action: Action taken on the article. This value is created for the entire dataset. body: Content of the chunk in Markdown format format: Format of the content. This… See the full description on the dataset page: https://huggingface.co/datasets/MongoDB/devcenter-articles-embedded.
FrancophonIA/synpaflex-corpus	FrancophonIA	Dataset origin: https://www.ortolang.fr/market/corpora/synpaflex-corpus Description SynPaFlex est un corpus de livres-audios en français composé de 87 heures de parole de bonne qualité, enregistré par une unique locutrice. Il est constitué d’un ensemble de livres de différents genres. Ce corpus diffère des corpus existants, constitués généralement de quelques heures de parole mono-genre et multi-locuteurs. La motivation principale pour construire un tel corpus est… See the full description on the dataset page: https://huggingface.co/datasets/FrancophonIA/synpaflex-corpus.
FrancophonIA/Phonologie_du_Francais_Contemporain	FrancophonIA	Dataset origin: https://www.ortolang.fr/market/corpora/pfc Description PFC: Base de données sur le français oral contemporain dans l’espace francophone Base de données sur le français oral contemporain dans l’espace francophone Le projet international PFC (Phonologie du Français Contemporain), codirigé par Marie-Hélène Côté (Université Laval), Jacques Durand (ERSS, Université de Toulouse-Le Mirail), Bernard Laks (MoDyCo, Université de Paris Ouest) et Chantal Lyche (Universités… See the full description on the dataset page: https://huggingface.co/datasets/FrancophonIA/Phonologie_du_Francais_Contemporain.
FrancophonIA/Profanities_FR	FrancophonIA	Dataset origin: https://github.com/pmichel31415/mtnt/blob/master/resources/profanities.fr Citation @InProceedings{michel2018mtnt, author = {Michel, Paul and Neubig, Graham}, title = {{MTNT}: A Testbed for {M}achine {T}ranslation of {N}oisy {T}ext}, booktitle = {Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP)}, year = {2018} }
FrancophonIA/EventEA	FrancophonIA	Dataset origin: https://github.com/nju-websoft/EventEA Citation @misc{tian2022eventeabenchmarkingentityalignment, title={EventEA: Benchmarking Entity Alignment for Event-centric Knowledge Graphs}, author={Xiaobin Tian and Zequn Sun and Guangyao Li and Wei Hu}, year={2022}, eprint={2211.02817}, archivePrefix={arXiv}, primaryClass={cs.CL}, url={https://arxiv.org/abs/2211.02817}, }
FrancophonIA/gatitos	FrancophonIA	Dataset origin: https://github.com/google-research/url-nlp/tree/main/gatitos GATITOS Multilingual Lexicon The GATITOS (Google's Additional Translations Into Tail-languages: Often Short) dataset is a high-quality, multi-way parallel dataset of tokens and short phrases, intended for training and improving machine translation models. Experiments on this dataset and Panlex focusing on unsupervised translation in a 208-language model can be found in BiLex Rx: Lexical Data… See the full description on the dataset page: https://huggingface.co/datasets/FrancophonIA/gatitos.
FrancophonIA/lesvocaux	FrancophonIA	Dataset origin: https://www.ortolang.fr/market/corpora/lesvocaux Description Le corpus Les Vocaux est réalisé dans le cadre du projet ORALIDIA (Oralité et diachronie : une voie d’accès au changement linguistique) financé par l'Université de Strasbourg (projet Idex), le laboratoire LILPA (UR1339, Université de Strasbourg) et le laboratoire ATILF (UMR 7118, CNRS & Université de Lorraine). Malgré le développement des corpus oraux, l’accès à des contextes diversifiés d’oral… See the full description on the dataset page: https://huggingface.co/datasets/FrancophonIA/lesvocaux.
arulami/learn_hf_food_not_food_image_captions	arulami	Food/Not Food Image Caption Dataset Small dataset of synthetic food and not food image captions. Text generated using Mistral Chat/Mixtral. Can be used to train a text classifier on food/not_food image captions as a demo before scaling up to a larger dataset. See Colab notebook on how dataset was created. Example usage import random from datasets import load_dataset # Load dataset loaded_dataset = load_dataset("arulami/learn_hf_food_not_food_image_captions") #… See the full description on the dataset page: https://huggingface.co/datasets/arulami/learn_hf_food_not_food_image_captions.
activebus/Altogether-FT	activebus	Altogether-FT (EMNLP 2024) Altogether-FT is a dataset that transforms/re-aligns Internet-scale alt-texts into dense captions. It does not caption images from scratch and generate naive captions that provide little value to an average user (e.g., "a dog is walking in the park" offer minimal utility to users not blind). Instead, it complements and completes alt-texts into dense captions, while preserving supervisions in alt-texts by expert human/agents around the world (that… See the full description on the dataset page: https://huggingface.co/datasets/activebus/Altogether-FT.
FrancophonIA/sharedtask2019	FrancophonIA	Dataset origin: https://github.com/disrpt/sharedtask2019 Introduction The DISRPT 2019 workshop introduces the first iteration of a cross-formalism shared task on discourse unit segmentation. Since all major discourse parsing frameworks imply a segmentation of texts into segments, learning segmentations for and from diverse resources is a promising area for converging methods and insights. We provide training, development and test datasets from all available languages and… See the full description on the dataset page: https://huggingface.co/datasets/FrancophonIA/sharedtask2019.
FrancophonIA/sharedtask2021	FrancophonIA	Dataset origin: https://github.com/disrpt/sharedtask2021 Introduction The DISRPT 2021 shared task, co-located with CODI 2021 at EMNLP, introduces the second iteration of a cross-formalism shared task on discourse unit segmentation and connective detection, as well as the first iteration of a cross-formalism discourse relation classification task. We provide training, development and test datasets from all available languages and treebanks in the RST, SDRT and PDTB formalisms… See the full description on the dataset page: https://huggingface.co/datasets/FrancophonIA/sharedtask2021.
FrancophonIA/sharedtask2023	FrancophonIA	Dataset origin: https://github.com/disrpt/sharedtask2023 Introduction The DISRPT 2023 shared task, to be held in conjunction with CODI 2023 and ACL 2023, introduces the third iteration of a cross-formalism shared task on discourse unit segmentation and connective detection, as well as the second iteration of a cross-formalism discourse relation classification task. We will provide training, development, and test datasets from all available languages and treebanks in the RST… See the full description on the dataset page: https://huggingface.co/datasets/FrancophonIA/sharedtask2023.
FrancophonIA/reuters	FrancophonIA	Dataset origin: https://archive.ics.uci.edu/dataset/259/reuters+rcv1+rcv2+multilingual+multiview+text+categorization+test+collection Reuters RCV1/RCV2 Multilingual, Multiview Text Categorization Test collection Distribution 1.0 README file (v 1.0) 26 September 2009 Massih R. Amini, Cyril Goutte National Research Council Canada I. Introduction This… See the full description on the dataset page: https://huggingface.co/datasets/FrancophonIA/reuters.
FrancophonIA/glossaire_phonologie_articulatoire	FrancophonIA	Dataset origin: https://www.ortolang.fr/market/lexicons/sldr000874 Description Glossaire de phonologie articulatoire en français. Travail inachevé. Nous invitons les chercheurs à le compléter. Citation @misc{11403/sldr000874/v1, title = {Glossaire de phonologie articulatoire}, author = {Alain Marchal}, url = {https://hdl.handle.net/11403/sldr000874/v1}, note = {{ORTOLANG} ({Open} {Resources} {and} {TOols} {for} {LANGuage}) \textendash… See the full description on the dataset page: https://huggingface.co/datasets/FrancophonIA/glossaire_phonologie_articulatoire.
ShantanuT01/RIP-Dataset	ShantanuT01	RIP Dataset Overview The Rewritten Ivy Panda (RIP) Dataset is an AI-text detection dataset focusing on student essays. test.parquet contains additional metrics for the test essays. This dataset was used in our paper Which LLMs are Difficult to Detect? A Detailed Analysis of Potential Factors Contributing to Difficulties in LLM Text Detection. Data Generation Eight LLMs rewrote essays from the Ivy Panda essay dataset: Anthropic Claude Haiku and… See the full description on the dataset page: https://huggingface.co/datasets/ShantanuT01/RIP-Dataset.
FrancophonIA/Le_dictionnaire_electronique_des_mots	FrancophonIA	Dataset origin: http://rali.iro.umontreal.ca/rali/?q=fr/versions-informatisees-lvf-dem
bunnycore/Sci-Reasoning	bunnycore	Dataset Card for Sci-Reasoning This dataset has been created with distilabel. Dataset Summary This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI: distilabel pipeline run --config "https://huggingface.co/datasets/bunnycore/Sci-Reasoning/raw/main/pipeline.yaml" or explore the configuration: distilabel pipeline info --config… See the full description on the dataset page: https://huggingface.co/datasets/bunnycore/Sci-Reasoning.
williamgilpin/dysts	williamgilpin	Chaotic Time Series Dataset Each time series is a drawn from one system over an extended duration, making this dataset suitable for long-horizon forecasting tasks.
self-planner/qwen-family	self-planner	Model HumanEval HumanEval+ baseline self_planner Delta baseline self_planner Delta qwen2.5-1.5b-instruct 54.9 51.8 -3.1 49.4 45.1 -4.3 qwen2.5-3B-instruct 68.3 66.5 -1.8 62.8 56.1 -6.7 qwen2.5-7B-instruct 84.8 81.7 -3.1 76.8 75.0 -1.8 qwen2.5-14B-instruct 80.5 81.1 0.6 76.2 75.0 -1.2 Model MBPP MBPP+ baseline self_planner Delta baseline self_planner Delta qwen2.5-14B-instruct 80.2 83.2 3.0 66.7 67.7 1.0 qwen2.5-7B-instruct 78.7 76.4 -2.3 65.4… See the full description on the dataset page: https://huggingface.co/datasets/self-planner/qwen-family.
self-planner/google-gemma-family	self-planner	Model HumanEval HumanEval+ baseline self_planner Delta baseline self_planner Delta gemma2-2b-it 44.5 36.0 -8.5 39.0 30.5 -8.5 gemma2-9b-it 66.5 62.2 -4.3 59.1 56.1 -3.0 Model MBPP MBPP+ baseline self_planner Delta baseline self_planner Delta gemma2-2b-it 51.1 46.1 -5.0 41.4 37.1 -4.3 gemma2-9b-it 72.7 68.7 -4.0 61.4 56.9 -4.5
DewiBrynJones/evals-whisper-large-v3-cv-cy-en	DewiBrynJones	Model: openai/whisper-large-v3 Test Set: DewiBrynJones/commonvoice_18_0_cy_en Split: test WER: 34.231428 CER: 15.730472
CaptionEmporium/furry-e621-safe-llama3.2-11b	CaptionEmporium	furry-e621-safe-llama3.2-11b: A new anthropomorphic art dataset Dataset Summary This is 2,987,631 synthetic captions for 995,877 images found in e921, which is just e621 filtered to the "safe" tag. The long captions were produced using meta-llama/Llama-3.2-11B-Vision-Instruct. Medium and short captions were produced from these captions using meta-llama/Llama-3.1-8B-Instruct The dataset was grounded for captioning using the ground truth tags on every post… See the full description on the dataset page: https://huggingface.co/datasets/CaptionEmporium/furry-e621-safe-llama3.2-11b.
open-llm-leaderboard/rombodawg__Rombos-LLM-V2.6-Nemotron-70b-details	open-llm-leaderboard	Dataset Card for Evaluation run of rombodawg/Rombos-LLM-V2.6-Nemotron-70b Dataset automatically created during the evaluation run of model rombodawg/Rombos-LLM-V2.6-Nemotron-70b The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/rombodawg__Rombos-LLM-V2.6-Nemotron-70b-details.
han5i5j1986/eval_koch_lego_2024-10-18-01	han5i5j1986	This dataset was created using LeRobot.
han5i5j1986/eval_koch_lego_2024-10-18-02	han5i5j1986	This dataset was created using LeRobot.
claran/seed-pretrain-decon	claran	Dataset Card for Dataset Name Pre-training corpus for seed models in "Scalable Data Ablation Approximations for Language Models through Modular Training and Merging", to be presented at EMNLP 2024. 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]… See the full description on the dataset page: https://huggingface.co/datasets/claran/seed-pretrain-decon.
nevmenandr/russian-old-orthography-ocr	nevmenandr	Basic Description Dataset contains source images and human-readable extracted texts. All texts were published in Russia in the 19th century and written using pre-reform orthography. The dataset is designed to train and evaluate optical character recognition systems for texts published in Russian before the orthographic reform (1917). Data structure For each text there is a file with its image and the text corresponding to this image. The names of these files are… See the full description on the dataset page: https://huggingface.co/datasets/nevmenandr/russian-old-orthography-ocr.
yuuzuX/sadffwedadsdfa	yuuzuX	詳細描述資料名稱: sadffwedadsdfa 資料狀態: active 作者名稱: yuuzuX 建立時間: 2024-10-17T09:53:54.386101 更新時間: 2024-10-17T09:54:26.386724 原本網址: CKAN - yuuzuX/sadffwedadsdfa 其他資訊: Huggingface.Url: https://huggingface.co/datasets/yuuzuX/sadffwedadsdfa
han5i5j1986/eval_koch_lego_2024-10-18-03	han5i5j1986	This dataset was created using LeRobot.
SihyunPark/korea_hate_speech	SihyunPark	K-MHaS는 추가 레이블링 필수
open-llm-leaderboard/DeepAutoAI__d2nwg_causal_gpt2-details	open-llm-leaderboard	Dataset Card for Evaluation run of DeepAutoAI/d2nwg_causal_gpt2 Dataset automatically created during the evaluation run of model DeepAutoAI/d2nwg_causal_gpt2 The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/DeepAutoAI__d2nwg_causal_gpt2-details.
han5i5j1986/eval_koch_lego_2024-10-18-04	han5i5j1986	This dataset was created using LeRobot.
ChesterHung/public	ChesterHung	詳細描述資料名稱: 公開資料狀態: active 作者名稱: Chester 建立時間: 2024-08-30T01:52:05.417111 更新時間: 2024-10-17T09:58:10.111536 原本網址: CKAN - Chester/public 其他資訊: Huggingface.Url: https://huggingface.co/datasets/ChesterHung/public
blester125/foodista-dolma	blester125	Foodista Data
clinia/CUREv1	clinia	Dataset Card for CUREv1 Clinia’s CURE, Crosslingual Understanding and Retrieval Evaluation for health Evaluate your retriever’s performance on query-passage pairs curated by medical professionals, across 10 disciplines and 3 cross-lingual settings. Dataset Details Uses Direct Use You can load the dataset with the following code: language_setting = "en-en" domain = "dermatology" dermatology_queries = load_dataset(… See the full description on the dataset page: https://huggingface.co/datasets/clinia/CUREv1.
dydyd/current_vibration	dydyd	Dataset Summary This dataset provides vibration and motor current data for fault diagnosis of motor winding faults. Dataset Details Vibration data is acquired with a sampling frequency of 25.6 kHz, and current data is acquired with a sampling frequency of 100 kHz. For more detailed information about this dataset, please check this article published in "Data in Brief". Title: Vibration and Current Dataset of Three-Phase Permanent Magnet Synchronous Motors with… See the full description on the dataset page: https://huggingface.co/datasets/dydyd/current_vibration.
studymakesmehappyyyyy/VCGBENCH	studymakesmehappyyyyy	── videochatgpt_gen # Official website: https://github.com/mbzuai-oryx/Video-ChatGPT/tree/main/quantitative_evaluation ├── Test_Videos/ # Available at: https://mbzuaiac-my.sharepoint.com/:u:/g/personal/hanoona_bangalath_mbzuai_ac_ae/EatOpE7j68tLm2XAd0u6b8ABGGdVAwLMN6rqlDGM_DwhVA?e=90WIuW ├── Test_Human_Annotated_Captions/ # Available at:… See the full description on the dataset page: https://huggingface.co/datasets/studymakesmehappyyyyy/VCGBENCH.
blester125/peps-dolma	blester125	Python PEPs This data was converted with pandoc version 3.5
WendiChen/DeformPAM	WendiChen	Dataset of DeformPAM Contents Description Structure Usage Description This is the dataset used in the paper DeformPAM: Data-Efficient Learning for Long-horizon Deformable Object Manipulation via Preference-based Action Alignment. Paper Project Homepage Github Repository Structure We offer two versions of the dataset: one is the full dataset used to train the models in our paper, and the other is a mini dataset for easier… See the full description on the dataset page: https://huggingface.co/datasets/WendiChen/DeformPAM.
Gunther520/first-test-dataset2	Gunther520	Dataset Card for first-test-dataset2 This dataset has been created with distilabel. Dataset Summary This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI: distilabel pipeline run --config "https://huggingface.co/datasets/Gunther520/first-test-dataset2/raw/main/pipeline.yaml" or explore the configuration: distilabel pipeline info --config… See the full description on the dataset page: https://huggingface.co/datasets/Gunther520/first-test-dataset2.
yugb2005/MRafi	yugb2005
Holmeister/SciFact-TR	Holmeister	Citation Information David Wadden, Shanchuan Lin, Kyle Lo, Lucy Lu Wang, Madeleine van Zuylen, Arman Cohan, and Hannaneh Hajishirzi. Fact or fiction: Verifying scientific claims. arXiv preprint arXiv:2004.14974, 2020.
Holmeister/HealthVer-TR	Holmeister	Citation Information Mourad Sarrouti, Asma Ben Abacha, Yassine M’rabet, and Dina Demner-Fushman. Evidence-based fact-checking of health-related claims. In Findings of the Association for Computational Linguistics: EMNLP 2021, pages 3499–3512, 2021.
Holmeister/COVID-Fact-TR	Holmeister	Citation Information Arkadiy Saakyan, Tuhin Chakrabarty, and Smaranda Muresan. COVID-fact: Fact extraction and verification of real-world claims on COVID-19 pandemic. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 2116–2129, Online, August 2021. Association for Computational Linguistics.
Gunther520/first-test-dataset	Gunther520	Dataset Card for first-test-dataset This dataset has been created with distilabel. Dataset Summary This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI: distilabel pipeline run --config "https://huggingface.co/datasets/Gunther520/first-test-dataset/raw/main/pipeline.yaml" or explore the configuration: distilabel pipeline info --config… See the full description on the dataset page: https://huggingface.co/datasets/Gunther520/first-test-dataset.
Holmeister/CrowS-Pair-TR	Holmeister	Citation Information Nikita Nangia, Clara Vania, Rasika Bhalerao, and Samuel R Bowman. Crows-pairs: A challenge dataset for measuring social biases in masked language models. arXiv preprint arXiv:2010.00133, 2020.
jmercat/koch_feed_cat_2	jmercat	This dataset was created using LeRobot.
viethq5/emotion	viethq5	Dataset Card for emotion This dataset has been created with distilabel. Dataset Summary This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI: distilabel pipeline run --config "https://huggingface.co/datasets/viethq5/emotion/raw/main/pipeline.yaml" or explore the configuration: distilabel pipeline info --config… See the full description on the dataset page: https://huggingface.co/datasets/viethq5/emotion.
Holmeister/StereoSet-TR	Holmeister	Citation Information Moin Nadeem, Anna Bethke, and Siva Reddy. Stereoset: Measuring stereotypical bias in pretrained language models. arXiv preprint arXiv:2004.09456, 2020.

han5i5j1986/eval_koch_lego_2024-10-17-02

han5i5j1986

This dataset was created using LeRobot.

trl-internal-testing/tiny-ultrafeedback-binarized

trl-internal-testing

from datasets import load_dataset push_to_hub = True def is_small(example): small_prompt = len(example["chosen"][0]["content"]) < 100 small_chosen = len(example["chosen"][1]["content"]) < 100 small_rejected = len(example["rejected"][1]["content"]) < 100 return small_prompt and small_chosen and small_rejected if __name__ == "__main__": dataset = load_dataset("trl-lib/ultrafeedback_binarized") dataset = dataset.filter(is_small) if push_to_hub:… See the full description on the dataset page: https://huggingface.co/datasets/trl-internal-testing/tiny-ultrafeedback-binarized.

han5i5j1986/koch_lego_2024-10-17-tmp

han5i5j1986

This dataset was created using LeRobot.

han5i5j1986/koch_lego_2024-10-17-tmp-1

han5i5j1986

This dataset was created using LeRobot.

dvilasuero/meta-llama_Llama-3.1-70B-Instruct_thinking_mmlu-pro_20241017_105801

dvilasuero

Dataset Card for meta-llama_Llama-3.1-70B-Instruct_thinking_mmlu-pro_20241017_105801 This dataset has been created with distilabel. Dataset Summary This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI: distilabel pipeline run --config… See the full description on the dataset page: https://huggingface.co/datasets/dvilasuero/meta-llama_Llama-3.1-70B-Instruct_thinking_mmlu-pro_20241017_105801.

han5i5j1986/eval_koch_lego_2024-10-17-04

han5i5j1986

This dataset was created using LeRobot.

mxforml/conv_xai_short

mxforml

FY-taott/G4Beacon2PreEmbedding

FY-taott

Pre-Embedding of G4Beacon2 1. Introduction 1.1 G4Beacon2 In the G4Beacon2 GitHub repository, we presented G4Beacon2, a genome-wide cell-specific G-quadruplex(G4) prediction tool that provided a detailed overview of its program, data, and usage methods. This database acts as a supplementary resource, including pre-embedded DNA sequence data. We encourage you to use this data in conjunction with the GitHub repository. 1.2 Pre-embedding… See the full description on the dataset page: https://huggingface.co/datasets/FY-taott/G4Beacon2PreEmbedding.

smartcat/Amazon_All_Beauty_2023

smartcat

Dataset Card for Dataset Name Original dataset can be found on: https://amazon-reviews-2023.github.io/ Dataset Details This dataset is downloaded from the link above, the category Amazon All Beauty meta dataset. Dataset Description This dataset is a refined version of the Amazon All Beauty 2023 meta dataset, which originally contained product metadata for beauty products sold on Amazon. The dataset includes detailed information about products such… See the full description on the dataset page: https://huggingface.co/datasets/smartcat/Amazon_All_Beauty_2023.

open-llm-leaderboard/Gunulhona__Gemma-Ko-Merge-PEFT-details

open-llm-leaderboard

Dataset Card for Evaluation run of Gunulhona/Gemma-Ko-Merge-PEFT Dataset automatically created during the evaluation run of model Gunulhona/Gemma-Ko-Merge-PEFT The dataset is composed of 38 configuration(s), each one corresponding 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… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/Gunulhona__Gemma-Ko-Merge-PEFT-details.

jinliuxi/reason_chinese_10k

jinliuxi

Dataset: 10k Reasoning in Chinese for LoRA Model on LLaMA 3.2 This dataset contains 10,000 training examples used for fine-tuning a LoRA model on LLaMA 3.2, specifically designed to enhance reasoning capabilities in Chinese. The dataset is tailored to support tasks involving complex logical thinking, inference, and decision-making without relying on rigid formats or explicit chain-of-thought reasoning. Key Features: • Language: Chinese • Task: Reasoning and Inference • Model Target: LLaMA 3.2… See the full description on the dataset page: https://huggingface.co/datasets/jinliuxi/reason_chinese_10k.

OALL/details_speakleash__Bielik-11B-v2

OALL

Dataset Card for Evaluation run of speakleash/Bielik-11B-v2 Dataset automatically created during the evaluation run of model speakleash/Bielik-11B-v2. The dataset is composed of 136 configuration, each one coresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An… See the full description on the dataset page: https://huggingface.co/datasets/OALL/details_speakleash__Bielik-11B-v2.

yuuzuX/yuuzux

yuuzuX

詳細描述資料名稱: yuuzux 下載連結: CKAN - yuuzuX/yuuzux 作者名稱: yuuzuX 更新時間: 2024-10-17T09:46:34.986Z

dino-zavr1/koch_test_2cam

dino-zavr1

This dataset was created using LeRobot.

open-llm-leaderboard/LeroyDyer__SpydazWeb_AI_HumanAI_001-details

open-llm-leaderboard

Dataset Card for Evaluation run of LeroyDyer/SpydazWeb_AI_HumanAI_001 Dataset automatically created during the evaluation run of model LeroyDyer/SpydazWeb_AI_HumanAI_001 The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/LeroyDyer__SpydazWeb_AI_HumanAI_001-details.

openpecha/stt-training-data

openpecha

STT Training Data This dataset is prepared for Speech-to-Text (STT) training. It contains audio files from different departments, each annotated with their transcription. The dataset is split by department and includes the duration of audio data per department. Dataset Overview Total Audio Files: 1,391,020 Total Audio Length: 1,576.76 hours Total Audio collected data: 18 OCT, 2024 Department-wise Statistics Department Number of Audio Files… See the full description on the dataset page: https://huggingface.co/datasets/openpecha/stt-training-data.

libailin1120/test

libailin1120

Debatts-Data: The First Madarin Rebuttal Speech Dataset for Expressive Text-to-Speech Synthesis The Debatts-Data dataset is the first Madarin rebuttal speech dataset for expressive text-to-speech synthesis. It is constructed from a vast collection of professional Madarin speech data sourced from diverse video platforms and podcasts on the Internet. The in-the-wild collection approach ensures the real and natural rebuttal speech. In addition, the dataset contains annotations of… See the full description on the dataset page: https://huggingface.co/datasets/libailin1120/test.

han5i5j1986/koch_lego_2024-10-17-04

han5i5j1986

This dataset was created using LeRobot.

HolyTreeCrowns/YaleKIContractArrangementDB

HolyTreeCrowns

YaleKIContractArrangementDB tags: Machine Learning, Contract Analysis, Yale Innovation Note: This is an AI-generated dataset so its content may be inaccurate or false Dataset Description: The 'YaleKIContractArrangementDB' dataset contains structured information extracted from contracts related to Yale's Key Innovation (KI) initiatives. The data is tailored for machine learning models that analyze and classify contractual agreements. The dataset focuses on various aspects such as… See the full description on the dataset page: https://huggingface.co/datasets/HolyTreeCrowns/YaleKIContractArrangementDB.

dvilasuero/meta-llama_Llama-3.1-70B-Instruct_thinking_ifeval_20241017_122400

dvilasuero

Dataset Card for meta-llama_Llama-3.1-70B-Instruct_thinking_ifeval_20241017_122400 This dataset has been created with distilabel. Dataset Summary This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI: distilabel pipeline run --config "https://huggingface.co/datasets/dvilasuero/meta-llama_Llama-3.1-70B-Instruct_thinking_ifeval_20241017_122400/raw/main/pipeline.yaml"… See the full description on the dataset page: https://huggingface.co/datasets/dvilasuero/meta-llama_Llama-3.1-70B-Instruct_thinking_ifeval_20241017_122400.

han5i5j1986/koch_lego_2024-10-17-05

han5i5j1986

This dataset was created using LeRobot.

le-leadboard/gpqa-fr

le-leadboard

Dataset Card for gpqa-fr le-leadboard/gpqa-fr fait partie de l'initiative OpenLLM French Leaderboard, offrant une adaptation française du dataset GPQA (Graduate-level Proof Q&A Benchmark) pour évaluer les capacités de raisonnement avancé des modèles en langue française. Dataset Summary GPQA-fr est une adaptation française d'un ensemble de 448 questions à choix multiples de niveau doctoral en biologie, physique et chimie. Ces questions sont conçues pour être… See the full description on the dataset page: https://huggingface.co/datasets/le-leadboard/gpqa-fr.

open-llm-leaderboard/ymcki__gemma-2-2b-jpn-it-abliterated-17-details

open-llm-leaderboard

Dataset Card for Evaluation run of ymcki/gemma-2-2b-jpn-it-abliterated-17 Dataset automatically created during the evaluation run of model ymcki/gemma-2-2b-jpn-it-abliterated-17 The dataset is composed of 38 configuration(s), each one corresponding 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… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/ymcki__gemma-2-2b-jpn-it-abliterated-17-details.

dvilasuero/meta-llama_Llama-3.1-70B-Instruct_cot_ifeval_20241017_134405

dvilasuero

Dataset Card for meta-llama_Llama-3.1-70B-Instruct_cot_ifeval_20241017_134405 This dataset has been created with distilabel. Dataset Summary This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI: distilabel pipeline run --config "https://huggingface.co/datasets/dvilasuero/meta-llama_Llama-3.1-70B-Instruct_cot_ifeval_20241017_134405/raw/main/pipeline.yaml" or explore… See the full description on the dataset page: https://huggingface.co/datasets/dvilasuero/meta-llama_Llama-3.1-70B-Instruct_cot_ifeval_20241017_134405.

aimlresearch2023/my-distiset

aimlresearch2023

Dataset Card for my-distiset This dataset has been created with distilabel. Dataset Summary This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI: distilabel pipeline run --config "https://huggingface.co/datasets/aimlresearch2023/my-distiset/raw/main/pipeline.yaml" or explore the configuration: distilabel pipeline info --config… See the full description on the dataset page: https://huggingface.co/datasets/aimlresearch2023/my-distiset.

le-leadboard/MATH_LVL5_fr

le-leadboard

Dataset Card for MATH_LVL5_fr le-leadboard/MATH_LVL5_fr fait partie de l'initiative OpenLLM French Leaderboard, proposant une adaptation française des problèmes mathématiques de niveau avancé du dataset MATH. Dataset Summary MATH_LVL5_fr est une adaptation française des problèmes mathématiques de niveau 5 (le plus avancé) du dataset MATH original. Il comprend des problèmes de compétition mathématique de niveau lycée, formatés de manière cohérente avec LaTeX pour… See the full description on the dataset page: https://huggingface.co/datasets/le-leadboard/MATH_LVL5_fr.

hkuds/RecGPT_dataset

hkuds

RecGPT-Dataset Overview This dataset contains the pre-training, evaluation, and test data used in the RecGPT work.

kgttg/BP

kgttg

Payroll Dataset

bobchar/single_shooting

bobchar

unitreerobotics/UnitreeG1_DualArmGrasping

unitreerobotics

This is a dataset using the Unitree G1 humanoid robot with dual-arm dexterous hands to grasp red wooden blocks; the head is equipped with binocular vision. The robot is teleoperated to grasp the red wooden blocks with both arms and place them into a black rectangular. The videos directory stores the related videos; the train directory stores the data information; the meta_data directory stores the metadata.

d0rj/reflection-v1-ru_subset

d0rj

d0rj/reflection-v1-ru_subset Translated glaiveai/reflection-v1 dataset into Russian language using GPT-4o. Almost all the rows of the dataset have been translated. I have removed those translations that do not match the original by the presence of the tags "thinking", "reflection" and "output". Mapping to the original dataset rows can be taken from the "index" column. Usage import datasets data = datasets.load_dataset("d0rj/reflection-v1-ru_subset")… See the full description on the dataset page: https://huggingface.co/datasets/d0rj/reflection-v1-ru_subset.

skyarff/happyOrSad

skyarff

Dataset Card for "happyOrSad" More Information needed

galtimur/lca-bug-localization-test

galtimur

This is test subset of LCA bug localization dataset enriched by the repo states to make it easier the work with this dataset.

zubersdefrwer/autocompelete

zubersdefrwer

[ { "input": "buy milk", "suggestion": "buy milk tomorrow" }, { "input": "call", "suggestion": "call mom" }, { "input": "wish", "suggestion": "wish happy birthday to dad" }, { "input": "book", "suggestion": "book a dentist appointment" }, { "input": "pay", "suggestion": "pay electricity bill" }, { "input": "remind", "suggestion": "remind me to take out the… See the full description on the dataset page: https://huggingface.co/datasets/zubersdefrwer/autocompelete.

gane5hvarma/test-alpaca

gane5hvarma

Dataset Card for Dataset Name This dataset card aims to be a base template for new datasets. It has been generated using this raw template. 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]… See the full description on the dataset page: https://huggingface.co/datasets/gane5hvarma/test-alpaca.

qq8933/pprm_math_preference

qq8933

Citation @article{zhang2024llama, title={LLaMA-Berry: Pairwise Optimization for O1-like Olympiad-Level Mathematical Reasoning}, author={Zhang, Di and Wu, Jianbo and Lei, Jingdi and Che, Tong and Li, Jiatong and Xie, Tong and Huang, Xiaoshui and Zhang, Shufei and Pavone, Marco and Li, Yuqiang and others}, journal={arXiv preprint arXiv:2410.02884}, year={2024} } @article{zhang2024accessing, title={Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo… See the full description on the dataset page: https://huggingface.co/datasets/qq8933/pprm_math_preference.

open-llm-leaderboard/piotr25691__thea-c-3b-25r-details

open-llm-leaderboard

Dataset Card for Evaluation run of piotr25691/thea-c-3b-25r Dataset automatically created during the evaluation run of model piotr25691/thea-c-3b-25r The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/piotr25691__thea-c-3b-25r-details.

ilhamfadheel/alpaca-cleaned-indonesian

ilhamfadheel

🦙🛁 Cleaned Alpaca Dataset (INDONESIAN) Welcome to the Cleaned Alpaca Dataset repository! This repository hosts a cleaned and curated version of a dataset used to train the Alpaca LLM (Large Language Model). The original dataset had several issues that are addressed in this cleaned version. On April 8, 2023 the remaining uncurated instructions (~50,000) were replaced with data from the GPT-4-LLM dataset. Curation of the incoming GPT-4 data is ongoing. A 7b Lora model (trained… See the full description on the dataset page: https://huggingface.co/datasets/ilhamfadheel/alpaca-cleaned-indonesian.

pxyyy/MagpieLM-SFT-Data-v0.1

pxyyy

Dataset Card for "MagpieLM-SFT-Data-v0.1" More Information needed

Omarrran/dr_andrew_Huberman_eng_tts_hf_dataset

Omarrran

Omarrran/dr_andrew_Huberman_eng_tts_hf_dataset Dataset Description This dataset contains English text-to-speech (TTS) data, including paired text and audio files. Dataset Statistics Total number of samples: 3159 Number of samples in train split: 2527 Number of samples in test split: 632 Audio Statistics Total audio duration: 31563.23 seconds (8.77 hours) Average audio duration: 9.99 seconds Minimum audio duration: 1.09 seconds… See the full description on the dataset page: https://huggingface.co/datasets/Omarrran/dr_andrew_Huberman_eng_tts_hf_dataset.

open-llm-leaderboard/Etherll__Herplete-LLM-Llama-3.1-8b-Ties-details

open-llm-leaderboard

Dataset Card for Evaluation run of Etherll/Herplete-LLM-Llama-3.1-8b-Ties Dataset automatically created during the evaluation run of model Etherll/Herplete-LLM-Llama-3.1-8b-Ties The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/Etherll__Herplete-LLM-Llama-3.1-8b-Ties-details.

claran/m2d2-wiki-decon

claran

Dataset Card for Dataset Name This dataset card aims to be a base template for new datasets. It has been generated using this raw template. 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]… See the full description on the dataset page: https://huggingface.co/datasets/claran/m2d2-wiki-decon.

open-llm-leaderboard/zelk12__MT3-gemma-2-9B-details

open-llm-leaderboard

Dataset Card for Evaluation run of zelk12/MT3-gemma-2-9B Dataset automatically created during the evaluation run of model zelk12/MT3-gemma-2-9B The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results. An additional… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/zelk12__MT3-gemma-2-9B-details.

ai2-adapt-dev/ultrafeedback-10k

ai2-adapt-dev

Ultrafeedback 10k for small-scale experiments I sampled 10k instances from the original Ultrafeedback as a baseline to run small-scale DPO experiments. The 50k from Tulu 3.4 SFT Replica is quite big, and very expensive to run ablations upon. from datasets import load_dataset load_dataset("ai2-adapt-dev/ultrafeedback-10k", "main", split="train") The templated versions for each aspect is also available as a config helpfulness, honesty, truthfulness, and instruction_following.… See the full description on the dataset page: https://huggingface.co/datasets/ai2-adapt-dev/ultrafeedback-10k.

arsaporta/symile-m3

arsaporta

Dataset Card for Symile-M3 Symile-M3 is a multilingual dataset of (audio, image, text) samples. The dataset is specifically designed to test a model's ability to capture higher-order information between three distinct high-dimensional data types: by incorporating multiple languages, we construct a task where text and audio are both needed to predict the image, and where, importantly, neither text nor audio alone would suffice. Dataset description… See the full description on the dataset page: https://huggingface.co/datasets/arsaporta/symile-m3.

open-llm-leaderboard/prince-canuma__Ministral-8B-Instruct-2410-HF-details

open-llm-leaderboard

Dataset Card for Evaluation run of prince-canuma/Ministral-8B-Instruct-2410-HF Dataset automatically created during the evaluation run of model prince-canuma/Ministral-8B-Instruct-2410-HF The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/prince-canuma__Ministral-8B-Instruct-2410-HF-details.

bunnycore/Reasoning

bunnycore

Dataset Card for my-distiset This dataset has been created with distilabel. Dataset Summary This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI: distilabel pipeline run --config "https://huggingface.co/datasets/bunnycore/my-distiset/raw/main/pipeline.yaml" or explore the configuration: distilabel pipeline info --config… See the full description on the dataset page: https://huggingface.co/datasets/bunnycore/Reasoning.

bunnycore/Kind-Teacher

bunnycore

Dataset Card for my-distisets This dataset has been created with distilabel. Dataset Summary This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI: distilabel pipeline run --config "https://huggingface.co/datasets/bunnycore/my-distisets/raw/main/pipeline.yaml" or explore the configuration: distilabel pipeline info --config… See the full description on the dataset page: https://huggingface.co/datasets/bunnycore/Kind-Teacher.

HumanoidTeam/robograsp_hackathon_2024

HumanoidTeam

2024 RoboGrasp Dataset This is dataset the dataset for the RoboGrasp Hackathon 2024. It includes 108 simulated pick-and-place robot episodes collected on a simulated mobile aloha environment through teleoperated demonstrations. During the collected episodes the right arm of the robot is used to pick an item from the table and put it in a box on the top of the table. There are three types of items: green cube (47% of episodes) red sphere (30% of episodes) blue cylinder (22% of… See the full description on the dataset page: https://huggingface.co/datasets/HumanoidTeam/robograsp_hackathon_2024.

Salesforce/PROVE

Salesforce

Trust but Verify: Programmatic VLM Evaluation in the Wild Viraj Prabhu, Senthil Purushwalkam, An Yan, Caiming Xiong, Ran Xu Explorer | Paper | Quickstart Vision-Language Models (VLMs) often generate plausible but incorrect responses to visual queries. However, reliably quantifying the effect of such hallucinations in free-form responses to open-ended queries is challenging as it requires visually verifying each claim within the response. We propose Programmatic… See the full description on the dataset page: https://huggingface.co/datasets/Salesforce/PROVE.

FrancophonIA/questions-ou-livres-audio

FrancophonIA

Dataset origin: https://www.ortolang.fr/market/corpora/questions-ou-livres-audio Description Ce petit corpus oral a été créé pour une communication à la DGfS 2017 à Sarrebruck. Il s'agit de 94 interrogatives à "où" qui ont été tirées de quatre livres audio, à savoir "Alex (Camille Verhœven 2, écrit par P. Lemaitre, lu par P. Résimont), "Le temps est assassin" (écrit par M. Bussi, lu par J. Basecqz), "Si c’était à refaire" (écrit par M. Lévy, lu par M. Marchese) et "Total… See the full description on the dataset page: https://huggingface.co/datasets/FrancophonIA/questions-ou-livres-audio.

MongoDB/devcenter-articles-embedded

MongoDB

Overview This dataset consists of chunked and embedded versions of a subset of articles from the MongoDB Developer Center. Dataset Structure The dataset consists of the following fields: sourceName: The source of the article. This value is devcenter for the entire dataset. url: Link to the article action: Action taken on the article. This value is created for the entire dataset. body: Content of the chunk in Markdown format format: Format of the content. This… See the full description on the dataset page: https://huggingface.co/datasets/MongoDB/devcenter-articles-embedded.

FrancophonIA/synpaflex-corpus

FrancophonIA

Dataset origin: https://www.ortolang.fr/market/corpora/synpaflex-corpus Description SynPaFlex est un corpus de livres-audios en français composé de 87 heures de parole de bonne qualité, enregistré par une unique locutrice. Il est constitué d’un ensemble de livres de différents genres. Ce corpus diffère des corpus existants, constitués généralement de quelques heures de parole mono-genre et multi-locuteurs. La motivation principale pour construire un tel corpus est… See the full description on the dataset page: https://huggingface.co/datasets/FrancophonIA/synpaflex-corpus.

FrancophonIA/Phonologie_du_Francais_Contemporain

FrancophonIA

Dataset origin: https://www.ortolang.fr/market/corpora/pfc Description PFC: Base de données sur le français oral contemporain dans l’espace francophone Base de données sur le français oral contemporain dans l’espace francophone Le projet international PFC (Phonologie du Français Contemporain), codirigé par Marie-Hélène Côté (Université Laval), Jacques Durand (ERSS, Université de Toulouse-Le Mirail), Bernard Laks (MoDyCo, Université de Paris Ouest) et Chantal Lyche (Universités… See the full description on the dataset page: https://huggingface.co/datasets/FrancophonIA/Phonologie_du_Francais_Contemporain.

FrancophonIA/Profanities_FR

FrancophonIA

Dataset origin: https://github.com/pmichel31415/mtnt/blob/master/resources/profanities.fr Citation @InProceedings{michel2018mtnt, author = {Michel, Paul and Neubig, Graham}, title = {{MTNT}: A Testbed for {M}achine {T}ranslation of {N}oisy {T}ext}, booktitle = {Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP)}, year = {2018} }

FrancophonIA/EventEA

FrancophonIA

Dataset origin: https://github.com/nju-websoft/EventEA Citation @misc{tian2022eventeabenchmarkingentityalignment, title={EventEA: Benchmarking Entity Alignment for Event-centric Knowledge Graphs}, author={Xiaobin Tian and Zequn Sun and Guangyao Li and Wei Hu}, year={2022}, eprint={2211.02817}, archivePrefix={arXiv}, primaryClass={cs.CL}, url={https://arxiv.org/abs/2211.02817}, }

FrancophonIA/gatitos

FrancophonIA

Dataset origin: https://github.com/google-research/url-nlp/tree/main/gatitos GATITOS Multilingual Lexicon The GATITOS (Google's Additional Translations Into Tail-languages: Often Short) dataset is a high-quality, multi-way parallel dataset of tokens and short phrases, intended for training and improving machine translation models. Experiments on this dataset and Panlex focusing on unsupervised translation in a 208-language model can be found in BiLex Rx: Lexical Data… See the full description on the dataset page: https://huggingface.co/datasets/FrancophonIA/gatitos.

FrancophonIA/lesvocaux

FrancophonIA

Dataset origin: https://www.ortolang.fr/market/corpora/lesvocaux Description Le corpus Les Vocaux est réalisé dans le cadre du projet ORALIDIA (Oralité et diachronie : une voie d’accès au changement linguistique) financé par l'Université de Strasbourg (projet Idex), le laboratoire LILPA (UR1339, Université de Strasbourg) et le laboratoire ATILF (UMR 7118, CNRS & Université de Lorraine). Malgré le développement des corpus oraux, l’accès à des contextes diversifiés d’oral… See the full description on the dataset page: https://huggingface.co/datasets/FrancophonIA/lesvocaux.

arulami/learn_hf_food_not_food_image_captions

arulami

Food/Not Food Image Caption Dataset Small dataset of synthetic food and not food image captions. Text generated using Mistral Chat/Mixtral. Can be used to train a text classifier on food/not_food image captions as a demo before scaling up to a larger dataset. See Colab notebook on how dataset was created. Example usage import random from datasets import load_dataset # Load dataset loaded_dataset = load_dataset("arulami/learn_hf_food_not_food_image_captions") #… See the full description on the dataset page: https://huggingface.co/datasets/arulami/learn_hf_food_not_food_image_captions.

activebus/Altogether-FT

activebus

Altogether-FT (EMNLP 2024) Altogether-FT is a dataset that transforms/re-aligns Internet-scale alt-texts into dense captions. It does not caption images from scratch and generate naive captions that provide little value to an average user (e.g., "a dog is walking in the park" offer minimal utility to users not blind). Instead, it complements and completes alt-texts into dense captions, while preserving supervisions in alt-texts by expert human/agents around the world (that… See the full description on the dataset page: https://huggingface.co/datasets/activebus/Altogether-FT.

FrancophonIA/sharedtask2019

FrancophonIA

Dataset origin: https://github.com/disrpt/sharedtask2019 Introduction The DISRPT 2019 workshop introduces the first iteration of a cross-formalism shared task on discourse unit segmentation. Since all major discourse parsing frameworks imply a segmentation of texts into segments, learning segmentations for and from diverse resources is a promising area for converging methods and insights. We provide training, development and test datasets from all available languages and… See the full description on the dataset page: https://huggingface.co/datasets/FrancophonIA/sharedtask2019.

FrancophonIA/sharedtask2021

FrancophonIA

Dataset origin: https://github.com/disrpt/sharedtask2021 Introduction The DISRPT 2021 shared task, co-located with CODI 2021 at EMNLP, introduces the second iteration of a cross-formalism shared task on discourse unit segmentation and connective detection, as well as the first iteration of a cross-formalism discourse relation classification task. We provide training, development and test datasets from all available languages and treebanks in the RST, SDRT and PDTB formalisms… See the full description on the dataset page: https://huggingface.co/datasets/FrancophonIA/sharedtask2021.

FrancophonIA/sharedtask2023

FrancophonIA

Dataset origin: https://github.com/disrpt/sharedtask2023 Introduction The DISRPT 2023 shared task, to be held in conjunction with CODI 2023 and ACL 2023, introduces the third iteration of a cross-formalism shared task on discourse unit segmentation and connective detection, as well as the second iteration of a cross-formalism discourse relation classification task. We will provide training, development, and test datasets from all available languages and treebanks in the RST… See the full description on the dataset page: https://huggingface.co/datasets/FrancophonIA/sharedtask2023.

FrancophonIA/reuters

FrancophonIA

Dataset origin: https://archive.ics.uci.edu/dataset/259/reuters+rcv1+rcv2+multilingual+multiview+text+categorization+test+collection Reuters RCV1/RCV2 Multilingual, Multiview Text Categorization Test collection Distribution 1.0 README file (v 1.0) 26 September 2009 Massih R. Amini, Cyril Goutte National Research Council Canada I. Introduction This… See the full description on the dataset page: https://huggingface.co/datasets/FrancophonIA/reuters.

FrancophonIA/glossaire_phonologie_articulatoire

FrancophonIA

Dataset origin: https://www.ortolang.fr/market/lexicons/sldr000874 Description Glossaire de phonologie articulatoire en français. Travail inachevé. Nous invitons les chercheurs à le compléter. Citation @misc{11403/sldr000874/v1, title = {Glossaire de phonologie articulatoire}, author = {Alain Marchal}, url = {https://hdl.handle.net/11403/sldr000874/v1}, note = {{ORTOLANG} ({Open} {Resources} {and} {TOols} {for} {LANGuage}) \textendash… See the full description on the dataset page: https://huggingface.co/datasets/FrancophonIA/glossaire_phonologie_articulatoire.

ShantanuT01/RIP-Dataset

ShantanuT01

RIP Dataset Overview The Rewritten Ivy Panda (RIP) Dataset is an AI-text detection dataset focusing on student essays. test.parquet contains additional metrics for the test essays. This dataset was used in our paper Which LLMs are Difficult to Detect? A Detailed Analysis of Potential Factors Contributing to Difficulties in LLM Text Detection. Data Generation Eight LLMs rewrote essays from the Ivy Panda essay dataset: Anthropic Claude Haiku and… See the full description on the dataset page: https://huggingface.co/datasets/ShantanuT01/RIP-Dataset.

FrancophonIA/Le_dictionnaire_electronique_des_mots

FrancophonIA

Dataset origin: http://rali.iro.umontreal.ca/rali/?q=fr/versions-informatisees-lvf-dem

bunnycore/Sci-Reasoning

bunnycore

Dataset Card for Sci-Reasoning This dataset has been created with distilabel. Dataset Summary This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI: distilabel pipeline run --config "https://huggingface.co/datasets/bunnycore/Sci-Reasoning/raw/main/pipeline.yaml" or explore the configuration: distilabel pipeline info --config… See the full description on the dataset page: https://huggingface.co/datasets/bunnycore/Sci-Reasoning.

williamgilpin/dysts

williamgilpin

Chaotic Time Series Dataset Each time series is a drawn from one system over an extended duration, making this dataset suitable for long-horizon forecasting tasks.

self-planner/qwen-family

self-planner

Model HumanEval HumanEval+ baseline self_planner Delta baseline self_planner Delta qwen2.5-1.5b-instruct 54.9 51.8 -3.1 49.4 45.1 -4.3 qwen2.5-3B-instruct 68.3 66.5 -1.8 62.8 56.1 -6.7 qwen2.5-7B-instruct 84.8 81.7 -3.1 76.8 75.0 -1.8 qwen2.5-14B-instruct 80.5 81.1 0.6 76.2 75.0 -1.2 Model MBPP MBPP+ baseline self_planner Delta baseline self_planner Delta qwen2.5-14B-instruct 80.2 83.2 3.0 66.7 67.7 1.0 qwen2.5-7B-instruct 78.7 76.4 -2.3 65.4… See the full description on the dataset page: https://huggingface.co/datasets/self-planner/qwen-family.

self-planner/google-gemma-family

self-planner

Model HumanEval HumanEval+ baseline self_planner Delta baseline self_planner Delta gemma2-2b-it 44.5 36.0 -8.5 39.0 30.5 -8.5 gemma2-9b-it 66.5 62.2 -4.3 59.1 56.1 -3.0 Model MBPP MBPP+ baseline self_planner Delta baseline self_planner Delta gemma2-2b-it 51.1 46.1 -5.0 41.4 37.1 -4.3 gemma2-9b-it 72.7 68.7 -4.0 61.4 56.9 -4.5

DewiBrynJones/evals-whisper-large-v3-cv-cy-en

DewiBrynJones

Model: openai/whisper-large-v3 Test Set: DewiBrynJones/commonvoice_18_0_cy_en Split: test WER: 34.231428 CER: 15.730472

CaptionEmporium/furry-e621-safe-llama3.2-11b

CaptionEmporium

furry-e621-safe-llama3.2-11b: A new anthropomorphic art dataset Dataset Summary This is 2,987,631 synthetic captions for 995,877 images found in e921, which is just e621 filtered to the "safe" tag. The long captions were produced using meta-llama/Llama-3.2-11B-Vision-Instruct. Medium and short captions were produced from these captions using meta-llama/Llama-3.1-8B-Instruct The dataset was grounded for captioning using the ground truth tags on every post… See the full description on the dataset page: https://huggingface.co/datasets/CaptionEmporium/furry-e621-safe-llama3.2-11b.

open-llm-leaderboard/rombodawg__Rombos-LLM-V2.6-Nemotron-70b-details

open-llm-leaderboard

Dataset Card for Evaluation run of rombodawg/Rombos-LLM-V2.6-Nemotron-70b Dataset automatically created during the evaluation run of model rombodawg/Rombos-LLM-V2.6-Nemotron-70b The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/rombodawg__Rombos-LLM-V2.6-Nemotron-70b-details.

han5i5j1986/eval_koch_lego_2024-10-18-01

han5i5j1986

This dataset was created using LeRobot.

han5i5j1986/eval_koch_lego_2024-10-18-02

han5i5j1986

This dataset was created using LeRobot.

claran/seed-pretrain-decon

claran

Dataset Card for Dataset Name Pre-training corpus for seed models in "Scalable Data Ablation Approximations for Language Models through Modular Training and Merging", to be presented at EMNLP 2024. 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]… See the full description on the dataset page: https://huggingface.co/datasets/claran/seed-pretrain-decon.

nevmenandr/russian-old-orthography-ocr

nevmenandr

Basic Description Dataset contains source images and human-readable extracted texts. All texts were published in Russia in the 19th century and written using pre-reform orthography. The dataset is designed to train and evaluate optical character recognition systems for texts published in Russian before the orthographic reform (1917). Data structure For each text there is a file with its image and the text corresponding to this image. The names of these files are… See the full description on the dataset page: https://huggingface.co/datasets/nevmenandr/russian-old-orthography-ocr.

yuuzuX/sadffwedadsdfa

yuuzuX

詳細描述資料名稱: sadffwedadsdfa 資料狀態: active 作者名稱: yuuzuX 建立時間: 2024-10-17T09:53:54.386101 更新時間: 2024-10-17T09:54:26.386724 原本網址: CKAN - yuuzuX/sadffwedadsdfa 其他資訊: Huggingface.Url: https://huggingface.co/datasets/yuuzuX/sadffwedadsdfa

han5i5j1986/eval_koch_lego_2024-10-18-03

han5i5j1986

This dataset was created using LeRobot.

SihyunPark/korea_hate_speech

SihyunPark

K-MHaS는 추가 레이블링 필수

open-llm-leaderboard/DeepAutoAI__d2nwg_causal_gpt2-details

open-llm-leaderboard

Dataset Card for Evaluation run of DeepAutoAI/d2nwg_causal_gpt2 Dataset automatically created during the evaluation run of model DeepAutoAI/d2nwg_causal_gpt2 The dataset is composed of 38 configuration(s), each one corresponding to one of the evaluated task. The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard/DeepAutoAI__d2nwg_causal_gpt2-details.

han5i5j1986/eval_koch_lego_2024-10-18-04

han5i5j1986

This dataset was created using LeRobot.

ChesterHung/public

ChesterHung

詳細描述資料名稱: 公開資料狀態: active 作者名稱: Chester 建立時間: 2024-08-30T01:52:05.417111 更新時間: 2024-10-17T09:58:10.111536 原本網址: CKAN - Chester/public 其他資訊: Huggingface.Url: https://huggingface.co/datasets/ChesterHung/public

blester125/foodista-dolma

blester125

Foodista Data

clinia/CUREv1

clinia

Dataset Card for CUREv1 Clinia’s CURE, Crosslingual Understanding and Retrieval Evaluation for health Evaluate your retriever’s performance on query-passage pairs curated by medical professionals, across 10 disciplines and 3 cross-lingual settings. Dataset Details Uses Direct Use You can load the dataset with the following code: language_setting = "en-en" domain = "dermatology" dermatology_queries = load_dataset(… See the full description on the dataset page: https://huggingface.co/datasets/clinia/CUREv1.

dydyd/current_vibration

dydyd

Dataset Summary This dataset provides vibration and motor current data for fault diagnosis of motor winding faults. Dataset Details Vibration data is acquired with a sampling frequency of 25.6 kHz, and current data is acquired with a sampling frequency of 100 kHz. For more detailed information about this dataset, please check this article published in "Data in Brief". Title: Vibration and Current Dataset of Three-Phase Permanent Magnet Synchronous Motors with… See the full description on the dataset page: https://huggingface.co/datasets/dydyd/current_vibration.

studymakesmehappyyyyy/VCGBENCH

studymakesmehappyyyyy

── videochatgpt_gen # Official website: https://github.com/mbzuai-oryx/Video-ChatGPT/tree/main/quantitative_evaluation ├── Test_Videos/ # Available at: https://mbzuaiac-my.sharepoint.com/:u:/g/personal/hanoona_bangalath_mbzuai_ac_ae/EatOpE7j68tLm2XAd0u6b8ABGGdVAwLMN6rqlDGM_DwhVA?e=90WIuW ├── Test_Human_Annotated_Captions/ # Available at:… See the full description on the dataset page: https://huggingface.co/datasets/studymakesmehappyyyyy/VCGBENCH.

blester125/peps-dolma

blester125

Python PEPs This data was converted with pandoc version 3.5

WendiChen/DeformPAM

WendiChen

Dataset of DeformPAM Contents Description Structure Usage Description This is the dataset used in the paper DeformPAM: Data-Efficient Learning for Long-horizon Deformable Object Manipulation via Preference-based Action Alignment. Paper Project Homepage Github Repository Structure We offer two versions of the dataset: one is the full dataset used to train the models in our paper, and the other is a mini dataset for easier… See the full description on the dataset page: https://huggingface.co/datasets/WendiChen/DeformPAM.

Gunther520/first-test-dataset2

Gunther520

Dataset Card for first-test-dataset2 This dataset has been created with distilabel. Dataset Summary This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI: distilabel pipeline run --config "https://huggingface.co/datasets/Gunther520/first-test-dataset2/raw/main/pipeline.yaml" or explore the configuration: distilabel pipeline info --config… See the full description on the dataset page: https://huggingface.co/datasets/Gunther520/first-test-dataset2.

yugb2005/MRafi

yugb2005

Holmeister/SciFact-TR

Holmeister

Citation Information David Wadden, Shanchuan Lin, Kyle Lo, Lucy Lu Wang, Madeleine van Zuylen, Arman Cohan, and Hannaneh Hajishirzi. Fact or fiction: Verifying scientific claims. arXiv preprint arXiv:2004.14974, 2020.

Holmeister/HealthVer-TR

Holmeister

Citation Information Mourad Sarrouti, Asma Ben Abacha, Yassine M’rabet, and Dina Demner-Fushman. Evidence-based fact-checking of health-related claims. In Findings of the Association for Computational Linguistics: EMNLP 2021, pages 3499–3512, 2021.

Holmeister/COVID-Fact-TR

Holmeister

Citation Information Arkadiy Saakyan, Tuhin Chakrabarty, and Smaranda Muresan. COVID-fact: Fact extraction and verification of real-world claims on COVID-19 pandemic. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 2116–2129, Online, August 2021. Association for Computational Linguistics.

Gunther520/first-test-dataset

Gunther520

Dataset Card for first-test-dataset This dataset has been created with distilabel. Dataset Summary This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI: distilabel pipeline run --config "https://huggingface.co/datasets/Gunther520/first-test-dataset/raw/main/pipeline.yaml" or explore the configuration: distilabel pipeline info --config… See the full description on the dataset page: https://huggingface.co/datasets/Gunther520/first-test-dataset.

Holmeister/CrowS-Pair-TR

Holmeister

Citation Information Nikita Nangia, Clara Vania, Rasika Bhalerao, and Samuel R Bowman. Crows-pairs: A challenge dataset for measuring social biases in masked language models. arXiv preprint arXiv:2010.00133, 2020.

jmercat/koch_feed_cat_2

jmercat

This dataset was created using LeRobot.

viethq5/emotion

viethq5

Dataset Card for emotion This dataset has been created with distilabel. Dataset Summary This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI: distilabel pipeline run --config "https://huggingface.co/datasets/viethq5/emotion/raw/main/pipeline.yaml" or explore the configuration: distilabel pipeline info --config… See the full description on the dataset page: https://huggingface.co/datasets/viethq5/emotion.

Holmeister/StereoSet-TR

Holmeister

Citation Information Moin Nadeem, Anna Bethke, and Siva Reddy. Stereoset: Measuring stereotypical bias in pretrained language models. arXiv preprint arXiv:2004.09456, 2020.