asoria/hf-datasets-descriptions · Datasets at Fast360

id stringlengths 6 121	author stringlengths 2 42	description stringlengths 0 6.67k
psyche/korean_idioms	psyche	NLI를 위한 한국어 속담 데이터셋입니다. 'question'은 속담의 의미와 보기(5지선다)가 표시되어 있으며, 'label'에는 정답의 번호(0-4)가 표시되어 있습니다. licence: cc-by-sa-2.0-kr (원본 출처:국립국어원 표준국어대사전) Model psyche/korean_idioms klue/bert-base 0.7646
skytnt/fbanimehq	skytnt	FBAnimeHQ is a dataset with high-quality full-body anime girl images in a resolution of 1024 × 512.
rajistics/electricity_demand	rajistics	The Victoria electricity demand dataset from the MAPIE github repository. It consists of hourly electricity demand (in GW) of the Victoria state in Australia together with the temperature (in Celsius degrees).
TheGreatRambler/mm2_user	TheGreatRambler	Mario Maker 2 users Part of the Mario Maker 2 Dataset Collection Dataset Description The Mario Maker 2 users dataset consists of 6 million users from Nintendo's online service totaling around 1.2GB of data. The dataset was created using the self-hosted Mario Maker 2 api over the course of 1 month in February 2022. How to use it The Mario Maker 2 users dataset is a very large dataset so for most use cases it is recommended to make use of the… See the full description on the dataset page: https://huggingface.co/datasets/TheGreatRambler/mm2_user.
yerevann/coco-karpathy	yerevann	Dataset Card for "yerevann/coco-karpathy" The Karpathy split of COCO for image captioning.
THUDM/humaneval-x	THUDM	HumanEval-X is a benchmark for the evaluation of the multilingual ability of code generative models. It consists of 820 high-quality human-crafted data samples (each with test cases) in Python, C++, Java, JavaScript, and Go, and can be used for various tasks.
detection-datasets/fashionpedia	detection-datasets	Dataset Card for Fashionpedia Dataset Summary Fashionpedia is a dataset mapping out the visual aspects of the fashion world. From the paper: Fashionpedia is a new dataset which consists of two parts: (1) an ontology built by fashion experts containing 27 main apparel categories, 19 apparel parts, 294 fine-grained attributes and their relationships; (2) a dataset with everyday and celebrity event fashion images annotated with segmentation masks and their… See the full description on the dataset page: https://huggingface.co/datasets/detection-datasets/fashionpedia.
detection-datasets/fashionpedia_4_categories	detection-datasets	Dataset Card for Fashionpedia_4_categories This dataset is a variation of the fashionpedia dataset available here, with 2 key differences: It contains only 4 categories: Clothing Shoes Bags Accessories New splits were created: Train: 90% of the images Val: 5% Test 5% The goal is to make the detection task easier with 4 categories instead of 46 for the full fashionpedia dataset. This dataset was created using the detection_datasets library (GitHub, PyPI), you can check here… See the full description on the dataset page: https://huggingface.co/datasets/detection-datasets/fashionpedia_4_categories.
dbal0503/Bundesliga	dbal0503	Bundesliga Videos dataset from Kaggle competition: https://www.kaggle.com/competitions/dfl-bundesliga-data-shootout
ashraq/esc50	ashraq	https://github.com/karolpiczak/ESC-50 The dataset is available under the terms of the Creative Commons Attribution Non-Commercial license. K. J. Piczak. ESC: Dataset for Environmental Sound Classification. Proceedings of the 23rd Annual ACM Conference on Multimedia, Brisbane, Australia, 2015. [DOI: http://dx.doi.org/10.1145/2733373.2806390]
joelniklaus/Multi_Legal_Pile	joelniklaus	Multi Legal Pile is a dataset of legal documents in the 24 EU languages.
nuprl/MultiPL-E	nuprl	Dataset Card for MultiPL-E Dataset Summary MultiPL-E is a dataset for evaluating large language models for code generation that supports 22 programming languages. It takes the OpenAI HumanEval and the Mostly Basic Python Programs (MBPP) benchmarks and uses little compilers to translate them to other languages. It is easy to add support for new languages and benchmarks. The dataset is divided into several configurations named SRCDATA-LANG, where SRCDATA is… See the full description on the dataset page: https://huggingface.co/datasets/nuprl/MultiPL-E.
joelniklaus/eurlex_resources	joelniklaus	Dataset Card for EurlexResources: A Corpus Covering the Largest EURLEX Resources Dataset Summary This dataset contains large text resources (~179GB in total) from EURLEX that can be used for pretraining language models. Use the dataset like this: from datasets import load_dataset config = "de_caselaw" # {lang}_{resource} dataset = load_dataset("joelito/eurlex_resources", config, split='train', streaming=True) Supported Tasks and Leaderboards The… See the full description on the dataset page: https://huggingface.co/datasets/joelniklaus/eurlex_resources.
skytnt/anime-segmentation	skytnt	A segmentation dataset for anime character
heegyu/namuwiki-extracted	heegyu	namu.wiki database dump https://namu.wiki/ database dump 2022/03/01 571308rows download size: 2.19GB 주의사항 namu-wiki-extractor를 이용하여 전처리, 추가로 아래 전처리를 수행했습니다 헤더 제거 == 개요 == 테이블 제거 [age(1997-01-01)] 는 전처리 시점 기준으로 적용(2022년 10월 2일) [math(a / b + c)] 는 제거하지 않음. math 마크다운이 각주 내에 있을 경우, 각주가 전처리되지 않은 문제 있음. Usage pip install datasets from datasets import load_dataset dataset = load_dataset("heegyu/namuwiki-extracted")… See the full description on the dataset page: https://huggingface.co/datasets/heegyu/namuwiki-extracted.
NeelNanda/pile-10k	NeelNanda	The first 10K elements of The Pile, useful for debugging models trained on it. See the HuggingFace page for the full Pile for more info. Inspired by stas' great resource doing the same for OpenWebText
biglam/europeana_newspapers	biglam	Dataset Card for Dataset Name This dataset contains historic newspapers from Europeana. In total the collection has ~32 Billion tokens. Documentation for this dataset is a WIP. This dataset card aims to be a base template for new datasets. It has been generated using this raw template. Dataset Details Dataset Sources [optional] Repository: [More Information Needed] Paper [optional]: [More Information Needed] Demo [optional]: [More Information… See the full description on the dataset page: https://huggingface.co/datasets/biglam/europeana_newspapers.
YaYaB/onepiece-blip-captions	YaYaB	Disclaimer This was inspired from https://huggingface.co/datasets/lambdalabs/pokemon-blip-captions Dataset Card for One Piece BLIP captions Dataset used to train One Piece text to image model BLIP generated captions for One piece images collected from the web. Original images were obtained from Anime Characters and captioned with the pre-trained BLIP model. For each row the dataset contains image and text keys. image is a varying size PIL jpeg, and text is the… See the full description on the dataset page: https://huggingface.co/datasets/YaYaB/onepiece-blip-captions.
barkermrl/imagenet-a	barkermrl	The ImageNet-A dataset contains 7,500 natural adversarial examples. Source: https://github.com/hendrycks/natural-adv-examples.Also see the ImageNet-C and ImageNet-P datasets at https://github.com/hendrycks/robustness @article{hendrycks2019nae, title={Natural Adversarial Examples}, author={Dan Hendrycks and Kevin Zhao and Steven Basart and Jacob Steinhardt and Dawn Song}, journal={arXiv preprint arXiv:1907.07174}, year={2019}} There are 200 classes we consider. The WordNet ID and a… See the full description on the dataset page: https://huggingface.co/datasets/barkermrl/imagenet-a.
stochastic/random_streetview_images_pano_v0.0.2	stochastic	Dataset Card for panoramic street view images (v.0.0.2) Dataset Summary The random streetview images dataset are labeled, panoramic images scraped from randomstreetview.com. Each image shows a location accessible by Google Streetview that has been roughly combined to provide ~360 degree view of a single location. The dataset was designed with the intent to geolocate an image purely based on its visual content. Supported Tasks and Leaderboards None… See the full description on the dataset page: https://huggingface.co/datasets/stochastic/random_streetview_images_pano_v0.0.2.
bigcode/the-stack-dedup	bigcode	Dataset Card for The Stack Changelog Release Description v1.0 Initial release of the Stack. Included 30 programming languages and 18 permissive licenses. Note: Three included licenses (MPL/EPL/LGPL) are considered weak copyleft licenses. The resulting near-deduplicated dataset is 1.5TB in size. v1.1 The three copyleft licenses ((MPL/EPL/LGPL) were excluded and the list of permissive licenses extended to 193 licenses in total. The list of programming… See the full description on the dataset page: https://huggingface.co/datasets/bigcode/the-stack-dedup.
dennlinger/eur-lex-sum	dennlinger	The EUR-Lex-Sum dataset is a multilingual resource intended for text summarization in the legal domain. It is based on human-written summaries of legal acts issued by the European Union. It distinguishes itself by introducing a smaller set of high-quality human-written samples, each of which have much longer references (and summaries!) than comparable datasets. Additionally, the underlying legal acts provide a challenging domain-specific application to legal texts, which are so far underrepresented in non-English languages. For each legal act, the sample can be available in up to 24 languages (the officially recognized languages in the European Union); the validation and test samples consist entirely of samples available in all languages, and are aligned across all languages at the paragraph level.
bigscience/xP3	bigscience	xP3 (Crosslingual Public Pool of Prompts) is a collection of prompts & datasets across 46 of languages & 16 NLP tasks. It is used for the training of BLOOMZ and mT0, multilingual language models capable of following human instructions in dozens of languages zero-shot.
bigcode/the-stack-smol	bigcode	Dataset Description A small subset (~0.1%) of the-stack dataset, each programming language has 10,000 random samples from the original dataset. The dataset has 2.6GB of text (code). Languages The dataset contains 30 programming languages: "assembly", "batchfile", "c++", "c", "c-sharp", "cmake", "css", "dockerfile", "fortran", "go", "haskell", "html", "java", "javascript", "julia", "lua", "makefile", "markdown", "perl", "php", "powershell", "python", "ruby"… See the full description on the dataset page: https://huggingface.co/datasets/bigcode/the-stack-smol.
miracl/miracl	miracl	Dataset Card for MIRACL (Topics and Qrels) Dataset Description Homepage \| Repository: \| Paper \| ArXiv MIRACL 🌍🙌🌏 (Multilingual Information Retrieval Across a Continuum of Languages) is a multilingual retrieval dataset that focuses on search across 18 different languages, which collectively encompass over three billion native speakers around the world. This dataset contains the collection data of the 16 "known languages". The remaining 2 "surprise languages"… See the full description on the dataset page: https://huggingface.co/datasets/miracl/miracl.
projecte-aina/raco_forums	projecte-aina	Dataset Card for Racó Forums Corpus Dataset Summary The Racó Forums Corpus is a 19-million-sentence corpus of Catalan user-generated text built from the forums of Racó Català. Since the existing available corpora in Catalan lacked conversational data, we searched for a major source of such data for Catalan, and we found Racó Català, a popular multitopic online forum. We obtained a database dump and we transformed all the threads so that we obtained documents that… See the full description on the dataset page: https://huggingface.co/datasets/projecte-aina/raco_forums.
biglam/gutenberg-poetry-corpus	biglam	Allison Parrish's Gutenberg Poetry Corpus This corpus was originally published under the CC0 license by Allison Parrish. Please visit Allison's fantastic accompanying GitHub repository for usage inspiration as well as more information on how the data was mined, how to create your own version of the corpus, and examples of projects using it. This dataset contains 3,085,117 lines of poetry from hundreds of Project Gutenberg books. Each line has a corresponding gutenberg_id (1191… See the full description on the dataset page: https://huggingface.co/datasets/biglam/gutenberg-poetry-corpus.
machelreid/m2d2	machelreid	M2D2: A Massively Multi-domain Language Modeling Dataset From the paper "M2D2: A Massively Multi-domain Language Modeling Dataset", (Reid et al., EMNLP 2022) Load the dataset as follows: import datasets dataset = datasets.load_dataset("machelreid/m2d2", "cs.CL") # replace cs.CL with the domain of your choice print(dataset['train'][0]['text']) Domains Culture_and_the_arts Culture_and_the_arts__Culture_and_Humanities Culture_and_the_arts__Games_and_Toys… See the full description on the dataset page: https://huggingface.co/datasets/machelreid/m2d2.
truongpdd/laion-2b-vietnamese-subset	truongpdd	Dataset Card for "laion-2b-vietnamese-subset" More Information needed
lcw99/cc100-ko-only	lcw99	cc100 dataset Korean only
esb/datasets	esb	All eight of datasets in ESB can be downloaded and prepared in just a single line of code through the Hugging Face Datasets library: from datasets import load_dataset librispeech = load_dataset("esb/datasets", "librispeech", split="train") "esb/datasets": the repository namespace. This is fixed for all ESB datasets. "librispeech": the dataset name. This can be changed to any of any one of the eight datasets in ESB to download that dataset. split="train": the split. Set this to one of… See the full description on the dataset page: https://huggingface.co/datasets/esb/datasets.
andrewkroening/Star-wars-scripts-dialogue-IV-VI	andrewkroening	Dataset Contents This dataset contains the concatenated scripts from the original (and best) Star Wars trilogy. The scripts are reduced to dialogue only, and are tagged with a line number and speaker. Dataset Disclaimer I don't own this data; or Star Wars. But it would be cool if I did. Star Wars is owned by Lucasfilms. I do not own any of the rights to this information. The scripts are derived from a couple sources: This GitHub Repo with raw files A Kaggle… See the full description on the dataset page: https://huggingface.co/datasets/andrewkroening/Star-wars-scripts-dialogue-IV-VI.
poloclub/diffusiondb	poloclub	DiffusionDB is the first large-scale text-to-image prompt dataset. It contains 2 million images generated by Stable Diffusion using prompts and hyperparameters specified by real users. The unprecedented scale and diversity of this human-actuated dataset provide exciting research opportunities in understanding the interplay between prompts and generative models, detecting deepfakes, and designing human-AI interaction tools to help users more easily use these models.
lambdalabs/naruto-blip-captions	lambdalabs	Dataset Card for Naruto BLIP captions Dataset used to train TBD. The original images were obtained from narutopedia.com and captioned with the pre-trained BLIP model. For each row the dataset contains image and text keys. image is a varying size PIL jpeg, and text is the accompanying text caption. Only a train split is provided. Example stable diffusion outputs "Bill Gates with a hoodie", "John Oliver with Naruto style", "Hello Kitty with Naruto style", "Lebron… See the full description on the dataset page: https://huggingface.co/datasets/lambdalabs/naruto-blip-captions.
allenai/prosocial-dialog	allenai	Dataset Card for ProsocialDialog Dataset Dataset Summary ProsocialDialog is the first large-scale multi-turn English dialogue dataset to teach conversational agents to respond to problematic content following social norms. Covering diverse unethical, problematic, biased, and toxic situations, ProsocialDialog contains responses that encourage prosocial behavior, grounded in commonsense social rules (i.e., rules-of-thumb, RoTs). Created via a human-AI collaborative… See the full description on the dataset page: https://huggingface.co/datasets/allenai/prosocial-dialog.
Norod78/cartoon-blip-captions	Norod78	Dataset Card for "cartoon-blip-captions"
ProGamerGov/StableDiffusion-v1-5-Regularization-Images	ProGamerGov	A collection of regularization / class instance datasets for the Stable Diffusion v1-5 model to use for DreamBooth prior preservation loss training. Files labeled with "mse vae" used the stabilityai/sd-vae-ft-mse VAE. For ease of use, datasets are stored as zip files containing 512x512 PNG images. The number of images in each zip file is specified at the end of the filename. There is currently a bug where HuggingFace is incorrectly reporting that the datasets are pickled. They are not picked… See the full description on the dataset page: https://huggingface.co/datasets/ProGamerGov/StableDiffusion-v1-5-Regularization-Images.
lewtun/music_genres	lewtun	Dataset Card for "music_genres" More Information needed
0xJustin/Dungeons-and-Diffusion	0xJustin	This is the dataset! Not the .ckpt trained model - the model is located here: https://huggingface.co/0xJustin/Dungeons-and-Diffusion/tree/main The newest version has manually captioned races and classes, and the model is trained with EveryDream. 30 images each of: aarakocra, aasimar, air_genasi, centaur, dragonborn, drow, dwarf, earth_genasi, elf, firbolg, fire_genasi, gith, gnome, goblin, goliath, halfling, human, illithid, kenku, kobold, lizardfolk, minotaur, orc, tabaxi, thrikreen, tiefling… See the full description on the dataset page: https://huggingface.co/datasets/0xJustin/Dungeons-and-Diffusion.
VietAI/vi_pubmed	VietAI	Dataset Summary 20M Vietnamese PubMed biomedical abstracts translated by the state-of-the-art English-Vietnamese Translation project. The data has been used as unlabeled dataset for pretraining a Vietnamese Biomedical-domain Transformer model. image source: Enriching Biomedical Knowledge for Vietnamese Low-resource Language Through Large-Scale Translation Language English: Original biomedical abstracts from Pubmed Vietnamese: Synthetic abstract translated by a… See the full description on the dataset page: https://huggingface.co/datasets/VietAI/vi_pubmed.
jpwahle/machine-paraphrase-dataset	jpwahle	Dataset Card for Machine Paraphrase Dataset (MPC) Dataset Summary The Machine Paraphrase Corpus (MPC) consists of ~200k examples of original, and paraphrases using two online paraphrasing tools. It uses two paraphrasing tools (SpinnerChief, SpinBot) on three source texts (Wikipedia, arXiv, student theses). The examples are not aligned, i.e., we sample different paragraphs for originals and paraphrased versions. How to use it You can load the dataset… See the full description on the dataset page: https://huggingface.co/datasets/jpwahle/machine-paraphrase-dataset.
ChristophSchuhmann/aesthetic-logo-ratings	ChristophSchuhmann	~ 15k logo images from LAION-5B have been rated for aesthetic preference ( preference_average ) and for how professional the design look ( professionalism_average ). license: apache-2.0
muhammadbilal5110/indian_food_images	muhammadbilal5110	Dataset Card for "indian_food_images" More Information needed
pszemraj/text2image-multi-prompt	pszemraj	text2image multi-prompt(s): a dataset collection collection of several text2image prompt datasets data was cleaned/normalized with the goal of removing "model specific APIs" like the "--ar" for Midjourney and so on data de-duplicated on a basic level: exactly duplicate prompts were dropped (after cleaning and normalization) updates Oct 2023: the default config has been updated with better deduplication. It was deduplicated with minhash (params: n-gram size set… See the full description on the dataset page: https://huggingface.co/datasets/pszemraj/text2image-multi-prompt.
armanc/ScienceQA	armanc	This is the ScientificQA dataset by Saikh et al (2022). @article{10.1007/s00799-022-00329-y, author = {Saikh, Tanik and Ghosal, Tirthankar and Mittal, Amish and Ekbal, Asif and Bhattacharyya, Pushpak}, title = {ScienceQA: A Novel Resource for Question Answering on Scholarly Articles}, year = {2022}, journal = {Int. J. Digit. Libr.}, month = {sep} }
statworx/leipzip-swiss	statworx	Dataset Card for Leipzig Corpora Swiss German Dataset Summary Swiss German Wikipedia corpus based on material from 2021.The corpus gsw_wikipedia_2021 is a Swiss German Wikipedia corpus based on material from 2021. It contains 232,933 sentences and 3,824,547 tokens. Languages Swiss-German Dataset Structure Data Instances Single sentences. Data Fields sentence: Text as string. Data Splits… See the full description on the dataset page: https://huggingface.co/datasets/statworx/leipzip-swiss.
bigbio/med_qa	bigbio	In this work, we present the first free-form multiple-choice OpenQA dataset for solving medical problems, MedQA, collected from the professional medical board exams. It covers three languages: English, simplified Chinese, and traditional Chinese, and contains 12,723, 34,251, and 14,123 questions for the three languages, respectively. Together with the question data, we also collect and release a large-scale corpus from medical textbooks from which the reading comprehension models can obtain necessary knowledge for answering the questions.
bigbio/meddialog	bigbio	The MedDialog dataset (English) contains conversations (in English) between doctors and patients.It has 0.26 million dialogues. The data is continuously growing and more dialogues will be added. The raw dialogues are from healthcaremagic.com and icliniq.com. All copyrights of the data belong to healthcaremagic.com and icliniq.com.
bigbio/mqp	bigbio	Medical Question Pairs dataset by McCreery et al (2020) contains pairs of medical questions and paraphrased versions of the question prepared by medical professional. Paraphrased versions were labelled as similar (syntactically dissimilar but contextually similar ) or dissimilar (syntactically may look similar but contextually dissimilar). Labels 1: similar, 0: dissimilar
bigbio/pubmed_qa	bigbio	PubMedQA is a novel biomedical question answering (QA) dataset collected from PubMed abstracts. The task of PubMedQA is to answer research biomedical questions with yes/no/maybe using the corresponding abstracts. PubMedQA has 1k expert-annotated (PQA-L), 61.2k unlabeled (PQA-U) and 211.3k artificially generated QA instances (PQA-A). Each PubMedQA instance is composed of: (1) a question which is either an existing research article title or derived from one, (2) a context which is the corresponding PubMed abstract without its conclusion, (3) a long answer, which is the conclusion of the abstract and, presumably, answers the research question, and (4) a yes/no/maybe answer which summarizes the conclusion. PubMedQA is the first QA dataset where reasoning over biomedical research texts, especially their quantitative contents, is required to answer the questions. PubMedQA datasets comprise of 3 different subsets: (1) PubMedQA Labeled (PQA-L): A labeled PubMedQA subset comprises of 1k manually annotated yes/no/maybe QA data collected from PubMed articles. (2) PubMedQA Artificial (PQA-A): An artificially labelled PubMedQA subset comprises of 211.3k PubMed articles with automatically generated questions from the statement titles and yes/no answer labels generated using a simple heuristic. (3) PubMedQA Unlabeled (PQA-U): An unlabeled PubMedQA subset comprises of 61.2k context-question pairs data collected from PubMed articles.
bigbio/tmvar_v3	bigbio	This dataset contains 500 PubMed articles manually annotated with mutation mentions of various kinds and dbsnp normalizations for each of them. In addition, it contains variant normalization options such as allele-specific identifiers from the ClinGen Allele Registry It can be used for NER tasks and NED tasks, This dataset does NOT have splits.
stjiris/portuguese-legal-sentences-v0	stjiris	Work developed as part of Project IRIS. Thesis: A Semantic Search System for Supremo Tribunal de Justiça Portuguese Legal Sentences Collection of Legal Sentences from the Portuguese Supreme Court of Justice The goal of this dataset was to be used for MLM and TSDAE Contributions @rufimelo99 If you use this work, please cite: @InProceedings{MeloSemantic, author="Melo, Rui and Santos, Pedro A. and Dias, Jo{\~a}o", editor="Moniz, Nuno and Vale, Zita and… See the full description on the dataset page: https://huggingface.co/datasets/stjiris/portuguese-legal-sentences-v0.
shjwudp/chinese-c4	shjwudp	Introduction Chinese-C4 is a clean Chinese internet dataset based on Common Crawl. The dataset is 46.29GB and has undergone multiple cleaning strategies, including Chinese filtering, heuristic cleaning based on punctuation, line-based hashing for deduplication, and repetition removal. The dataset is open source and free for commercial use, and you are welcome to use the data and the cleaning strategies provided and contribute your cleaning strategies. You can find the cleaning… See the full description on the dataset page: https://huggingface.co/datasets/shjwudp/chinese-c4.
Jzuluaga/atcosim_corpus	Jzuluaga	Dataset Card for ATCOSIM corpus Dataset Summary The ATCOSIM Air Traffic Control Simulation Speech corpus is a speech database of air traffic control (ATC) operator speech, provided by Graz University of Technology (TUG) and Eurocontrol Experimental Centre (EEC). It consists of ten hours of speech data, which were recorded during ATC real-time simulations using a close-talk headset microphone. The utterances are in English language and pronounced by ten non-native… See the full description on the dataset page: https://huggingface.co/datasets/Jzuluaga/atcosim_corpus.
thennal/IMaSC	thennal	IMaSC: ICFOSS Malayalam Speech Corpus IMaSC is a Malayalam text and speech corpus made available by ICFOSS for the purpose of developing speech technology for Malayalam, particularly text-to-speech. The corpus contains 34,473 text-audio pairs of Malayalam sentences spoken by 8 speakers, totalling in approximately 50 hours of audio. Dataset Structure The dataset consists of 34,473 instances with fields text, speaker, and audio. The audio is mono, sampled at 16kH.… See the full description on the dataset page: https://huggingface.co/datasets/thennal/IMaSC.
Nerfgun3/bad_prompt	Nerfgun3	Negative Embedding / Textual Inversion Idea The idea behind this embedding was to somehow train the negative prompt as an embedding, thus unifying the basis of the negative prompt into one word or embedding. Side note: Embedding has proven to be very helpful for the generation of hands! :) Usage To use this embedding you have to download the file aswell as drop it into the "\stable-diffusion-webui\embeddings" folder. Please put the embedding in… See the full description on the dataset page: https://huggingface.co/datasets/Nerfgun3/bad_prompt.
WillHeld/mtop	WillHeld	Dataset Card for "mtop" More Information needed
TheFusion21/PokemonCards	TheFusion21	Dataset Card for PokemonCards Languages All of the data is in English. Dataset Structure Data Instances { "id": "pl1-1", "image_url": "https://images.pokemontcg.io/pl1/1_hires.png", "caption": "A Stage 2 Pokemon Card of type Lightning with the title ""Ampharos"" and 130 HP of rarity ""Rare Holo"" evolved from Flaaffy from the set Platinum and the flavor text: ""None"". It has the attack ""Gigavolt"" with the cost Lightning… See the full description on the dataset page: https://huggingface.co/datasets/TheFusion21/PokemonCards.
deutsche-telekom/ger-backtrans-paraphrase	deutsche-telekom	German Backtranslated Paraphrase Dataset This is a dataset of more than 21 million German paraphrases. These are text pairs that have the same meaning but are expressed with different words. The source of the paraphrases are different parallel German / English text corpora. The English texts were machine translated back into German to obtain the paraphrases. This dataset can be used for example to train semantic text embeddings. To do this, for example, SentenceTransformers and… See the full description on the dataset page: https://huggingface.co/datasets/deutsche-telekom/ger-backtrans-paraphrase.
sayakpaul/nyu_depth_v2	sayakpaul	The NYU-Depth V2 data set is comprised of video sequences from a variety of indoor scenes as recorded by both the RGB and Depth cameras from the Microsoft Kinect.
bsmock/pubtables-1m	bsmock	PubTables-1M GitHub: https://github.com/microsoft/table-transformer Paper: "PubTables-1M: Towards comprehensive table extraction from unstructured documents" Hugging Face: Detection model Structure recognition model Currently we only support downloading the dataset as tar.gz files. Integrating with HuggingFace Datasets is something we hope to support in the future! Please switch to the "Files and versions" tab to download all of the files or use a command such as wget to… See the full description on the dataset page: https://huggingface.co/datasets/bsmock/pubtables-1m.
syzym/xbmu_amdo31	syzym	Dataset Card for [XBMU-AMDO31] Dataset Summary XBMU-AMDO31 dataset is a speech recognition corpus of Amdo Tibetan dialect. The open source corpus contains 31 hours of speech data and resources related to build speech recognition systems, including transcribed texts and a Tibetan pronunciation dictionary. Supported Tasks and Leaderboards automatic-speech-recognition: The dataset can be used to train a model for Amdo Tibetan Automatic Speech… See the full description on the dataset page: https://huggingface.co/datasets/syzym/xbmu_amdo31.
DTU54DL/commonvoice_accent_test	DTU54DL	Dataset Card for [Dataset Name] 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… See the full description on the dataset page: https://huggingface.co/datasets/DTU54DL/commonvoice_accent_test.
Jzuluaga/uwb_atcc	Jzuluaga	Dataset Card for UWB-ATCC corpus Dataset Summary The UWB-ATCC Corpus is provided provided by University of West Bohemia, Department of Cybernetics. The corpus contains recordings of communication between air traffic controllers and pilots. The speech is manually transcribed and labeled with the information about the speaker (pilot/controller, not the full identity of the person). The corpus is currently small (20 hours) but we plan to search for additional data… See the full description on the dataset page: https://huggingface.co/datasets/Jzuluaga/uwb_atcc.
ashraf-ali/quran-data	ashraf-ali	Dataset Card for Quran audio Content 7 Imam Full Quran Recitation: 7*6236 wav file csv contains the Text info for 11k subset short wav file Tarteel.io user dataset ~25k wav csv contains the Text info for 18k subset of the accepted user quality
Elite35P-Server/EliteVoiceProject	Elite35P-Server	Elite Voice Project これはホロライブ所属Vtuberさくらみこ氏の声をデータセット化し音声認識などで活用できるようにする事を目的とした非公式プロジェクトです。 LICENSEについてデータセット内の音声データすべてのデータは、hololive productionの二次創作ガイドラインに準拠する形で利用されています。これらのデータの著作権はカバー株式会社等が保有しており、リポジトリオーナー、コントリビューターは一切の権利を有しておりません。当プロジェクトへのご協力当プロジェクトは皆様のご協力を心より歓迎いたします。以下の方法をご一読いただき、そのうえでプルリクエストをお願い致します。始める前に hololive productionの二次創作ガイドラインを必ずお読みください。音声データの追加… See the full description on the dataset page: https://huggingface.co/datasets/Elite35P-Server/EliteVoiceProject.
1aurent/ICDAR-2011	1aurent	ICDAR 2011 Signature Verification Competition (SigComp2011) Description The collection contains simultaneously acquired online and offline samples. The collection contains offline and online signature samples. The offline dataset comprises PNG images, scanned at 400 dpi, RGB color. The online dataset comprises ascii files with the format: X, Y, Z (per line). Marcus Liwicki, Michael Blumenstein, Elisa van den Heuvel, Charles E.H. Berger, Reinoud D. Stoel, Bryan… See the full description on the dataset page: https://huggingface.co/datasets/1aurent/ICDAR-2011.
ashraq/tmdb-people-image	ashraq	Data was obtained from TMDB API
arbml/sudanese_dialect_speech	arbml	Dataset Card for "sudanese_dialect_speech" More Information needed
RobotsMaliAI/bayelemabaga	RobotsMaliAI	The Bayelemabaga dataset is a collection of 44160 aligned machine translation ready Bambara-French lines, originating from Corpus Bambara de Reference. The dataset is constitued of text extracted from 231 source files, varing from periodicals, books, short stories, blog posts, part of the Bible and the Quran.
Whispering-GPT/linustechtips-transcript-audio	Whispering-GPT	Dataset Card for "linustechtips" Dataset Summary This dataset is created by applying whisper to the videos of the Youtube channel Linus Tech Tips. The dataset was created a medium size whisper model. Languages Language: English Dataset Structure The dataset contains all the transcripts plus the audio of the different videos of Linus Tech Tips. Data Fields The dataset is composed by: id: Id of the youtube video.… See the full description on the dataset page: https://huggingface.co/datasets/Whispering-GPT/linustechtips-transcript-audio.
lucadiliello/english_wikipedia	lucadiliello	Dataset Card for "english_wikipedia" More Information needed
Jzuluaga/atco2_corpus_1h	Jzuluaga	Dataset Card for ATCO2 test set corpus (1hr set) Dataset Summary ATCO2 project aims at developing a unique platform allowing to collect, organize and pre-process air-traffic control (voice communication) data from air space. This project has received funding from the Clean Sky 2 Joint Undertaking (JU) under grant agreement No 864702. The JU receives support from the European Union’s Horizon 2020 research and innovation programme and the Clean Sky 2 JU members… See the full description on the dataset page: https://huggingface.co/datasets/Jzuluaga/atco2_corpus_1h.
domenicrosati/clinical_trial_texts	domenicrosati	Dataset Card for "clinical_trial_texts" These are the text of clinical trials dowloaded from https://ClinicalTrials.gov/AllAPIJSON.zip on Dec 3rd 2022. Total trials is 434977 Number of tokens is 2,184,397,556 (2.1bn tokens). The tokens here are from the default BERT tokenizer in hugginface. This data can be used for pretraining in the clinical trial and biomedical domains. If you use this data please acknowledge @domenicrosati and link to this dataset More Information needed
nguyenvulebinh/libris_clean_100	nguyenvulebinh	Dataset Card for librispeech_asr Dataset Summary LibriSpeech is a corpus of approximately 1000 hours of 16kHz read English speech, prepared by Vassil Panayotov with the assistance of Daniel Povey. The data is derived from read audiobooks from the LibriVox project, and has been carefully segmented and aligned. Supported Tasks and Leaderboards automatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for… See the full description on the dataset page: https://huggingface.co/datasets/nguyenvulebinh/libris_clean_100.
MCG-NJU/MultiSports	MCG-NJU	This is a multi-person video dataset of spatio-temporally localized sports actions. Please refer to the github repo for evaluation.
argilla/uber-reviews	argilla	Dataset Card for "uber-reviews" Dataset Summary Using Python's Beautiful Soup library and Scrappy framework, scraped date, star rating, and comment from all reviews from 2013 - 2019. Languages english Citation Information https://www.kaggle.com/datasets/jschne61701/uber-rides-costumer-reviews-dataset https://www.sitejabber.com/reviews/uber.com https://www.consumeraffairs.com/travel/uber.html… See the full description on the dataset page: https://huggingface.co/datasets/argilla/uber-reviews.
dipesh/python-code-ds-mini	dipesh	Dataset Card for "python-code-ds-mini" More Information needed
tarteel-ai/everyayah	tarteel-ai	﷽ Dataset Card for Tarteel AI's EveryAyah Dataset Dataset Summary This dataset is a collection of Quranic verses and their transcriptions, with diacritization, by different reciters. Supported Tasks and Leaderboards [Needs More Information] Languages The audio is in Arabic. Dataset Structure Data Instances A typical data point comprises the audio file audio, and its transcription called text. The duration… See the full description on the dataset page: https://huggingface.co/datasets/tarteel-ai/everyayah.
thennal/indic_tts_ml	thennal	Indic TTS Malayalam Speech Corpus The Malayalam subset of Indic TTS Corpus, taken from this Kaggle database. The corpus contains one male and one female speaker, with a 2:1 ratio of samples due to missing files for the female speaker. The license is given in the repository.
HuggingFaceM4/NoCaps	HuggingFaceM4	Dubbed NoCaps, for novel object captioning at scale, NoCaps consists of 166,100 human-generated captions describing 15,100 images from the Open Images validation and test sets. The associated training data consists of COCO image-caption pairs, plus Open Images image-level labels and object bounding boxes. Since Open Images contains many more classes than COCO, nearly 400 object classes seen in test images have no or very few associated training captions (hence, nocaps).
zeynepgulhan/mediaspeech-with-cv-tr	zeynepgulhan	Dataset Card for "mediaspeech-with-cv-tr" More Information needed
zmao/chinese_food_caption	zmao	For finetunning stable diffuser with chinese food images
Muennighoff/flan	Muennighoff	This is a repreprocessed version of the FLAN dataset with any updates that have been made to the FLAN datasets since the release of the original FLAN. The script is available here. Tasks: {'aeslc_10templates', 'ag_news_subset_10templates', 'anli_r1_10templates', 'anli_r2_10templates', 'anli_r3_10templates', 'arc_challenge_10templates', 'arc_easy_10templates', 'bool_q_10templates', 'cb_10templates', 'cnn_dailymail_10templates', 'cola_10templates', 'common_gen_10templates'… See the full description on the dataset page: https://huggingface.co/datasets/Muennighoff/flan.
allenai/objaverse	allenai	Objaverse Objaverse is a Massive Dataset with 800K+ Annotated 3D Objects. More documentation is coming soon. In the meantime, please see our paper and website for additional details. License The use of the dataset as a whole is licensed under the ODC-By v1.0 license. Individual objects in Objaverse are all licensed as creative commons distributable objects, and may be under the following licenses: CC-BY 4.0 - 721K objects CC-BY-NC 4.0 - 25K objects CC-BY-NC-SA… See the full description on the dataset page: https://huggingface.co/datasets/allenai/objaverse.
Kanakmi/mental-disorders	Kanakmi	Labels: 0:'BPD' 1:'bipolar' 2:'depression' 3:'Anxiety' 4:'schizophrenia' 5:'mentalillness'
Dahoas/full-hh-rlhf	Dahoas	Dataset Card for "full-hh-rlhf" Anthropic's HH dataset reformatted into prompt, chosen, rejected samples.
Muennighoff/natural-instructions	Muennighoff	Preprocessed version of Super-Natural-Instructions from https://github.com/allenai/natural-instructions/tree/master/splits. The same inputs may appear with different outputs, thus to avoid duplicate inputs, you can deduplicate by the id or the inputs field. Train Tasks: ['task001_quoref_question_generation', 'task002_quoref_answer_generation', 'task022_cosmosqa_passage_inappropriate_binary', 'task023_cosmosqa_question_generation', 'task024_cosmosqa_answer_generation'… See the full description on the dataset page: https://huggingface.co/datasets/Muennighoff/natural-instructions.
openai/webgpt_comparisons	openai	WebGPT Comparisons contains all of the comparisons marked as suitable for reward modelling from the WebGPT paper.
bigcode/the-stack-metadata	bigcode	Dataset Card for The Stack Metadata Changelog Release Description v1.1 This is the first release of the metadata. It is for The Stack v1.1 v1.2 Metadata dataset matching The Stack v1.2 Dataset Summary This is a set of additional information for repositories used for The Stack. It contains file paths, detected licenes as well as some other information for the repositories. Supported Tasks and Leaderboards The main… See the full description on the dataset page: https://huggingface.co/datasets/bigcode/the-stack-metadata.
gamino/wiki_medical_terms	gamino	Dataset Card for [Dataset Name] Dataset Summary This data set contains over 6,000 medical terms and their wikipedia text. It is intended to be used on a downstream task that requires medical terms and their wikipedia explanation. Dataset Structure Data Instances [More Information Needed] Data Fields [More Information Needed] Data Splits [More Information Needed] Dataset Creation… See the full description on the dataset page: https://huggingface.co/datasets/gamino/wiki_medical_terms.
masakhane/afriqa_wiki_en_fr_100	masakhane
Anthropic/model-written-evals	Anthropic	Model-Written Evaluation Datasets This repository includes datasets written by language models, used in our paper on "Discovering Language Model Behaviors with Model-Written Evaluations." We intend the datasets to be useful to: Those who are interested in understanding the quality and properties of model-generated data Those who wish to use our datasets to evaluate other models for the behaviors we examined in our work (e.g., related to model persona, sycophancy, advanced AI… See the full description on the dataset page: https://huggingface.co/datasets/Anthropic/model-written-evals.
mrm8488/unnatural-instructions-core	mrm8488	Dataset Card for Unnatural Instructions (Core data) This info comes from the Unnatural Instructions GitHub repo. Unnatural Instructions is a dataset of instructions automatically generated by a Large Language model. See full details in the paper: "Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor" 🗃️ Content The Unnatural Instructions core dataset of 68,478 instruction-input-output triplets. 📄 Format Core data… See the full description on the dataset page: https://huggingface.co/datasets/mrm8488/unnatural-instructions-core.
mrm8488/unnatural-instructions-full	mrm8488	Dataset Card for Unnatural Instructions (Full data) This info comes from the Unnatural Instructions GitHub repo. Unnatural Instructions is a dataset of instructions automatically generated by a Large Language model. See full details in the paper: "Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor" 🗃️ Content It contains the full 240,670 Unnatural Instructions (instruction-input-output triplets) examples. It was constructed by expanding… See the full description on the dataset page: https://huggingface.co/datasets/mrm8488/unnatural-instructions-full.
bookbot/ljspeech_phonemes	bookbot	Dataset Card for "ljspeech_phonemes" More Information needed
akariasai/PopQA	akariasai	Dataset Card for PopQA Dataset Summary PopQA is a large-scale open-domain question answering (QA) dataset, consisting of 14k entity-centric QA pairs. Each question is created by converting a knowledge tuple retrieved from Wikidata using a template. Each question come with the original subject_entitiey, object_entityand relationship_type annotation, as well as Wikipedia monthly page views. Languages The dataset contains samples in English only.… See the full description on the dataset page: https://huggingface.co/datasets/akariasai/PopQA.
Dahoas/rm-static	Dahoas	Dataset Card for "rm-static" Split of hh-static used for training reward models after supervised fine-tuning.
olm/olm-wikipedia-20221220	olm	Dataset Card for OLM December 2022 Wikipedia Pretraining dataset, created with the OLM repo here from a December 2022 Wikipedia snapshot.
Jean-Baptiste/financial_news_sentiment	Jean-Baptiste	Dataset Card for "financial_news_sentiment" Manually validated sentiment for ~2000 Canadian news articles. The dataset also include a column topic which contains one of the following value: acquisition other quaterly financial release appointment to new position dividend corporate update drillings results conference share repurchase program grant of stocks This was generated automatically using a zero-shot classification model and was not reviewed manually.

psyche/korean_idioms

psyche

NLI를 위한 한국어 속담 데이터셋입니다. 'question'은 속담의 의미와 보기(5지선다)가 표시되어 있으며, 'label'에는 정답의 번호(0-4)가 표시되어 있습니다. licence: cc-by-sa-2.0-kr (원본 출처:국립국어원 표준국어대사전) Model psyche/korean_idioms klue/bert-base 0.7646

skytnt/fbanimehq

skytnt

FBAnimeHQ is a dataset with high-quality full-body anime girl images in a resolution of 1024 × 512.

rajistics/electricity_demand

rajistics

The Victoria electricity demand dataset from the MAPIE github repository. It consists of hourly electricity demand (in GW) of the Victoria state in Australia together with the temperature (in Celsius degrees).

TheGreatRambler/mm2_user

TheGreatRambler

Mario Maker 2 users Part of the Mario Maker 2 Dataset Collection Dataset Description The Mario Maker 2 users dataset consists of 6 million users from Nintendo's online service totaling around 1.2GB of data. The dataset was created using the self-hosted Mario Maker 2 api over the course of 1 month in February 2022. How to use it The Mario Maker 2 users dataset is a very large dataset so for most use cases it is recommended to make use of the… See the full description on the dataset page: https://huggingface.co/datasets/TheGreatRambler/mm2_user.

yerevann/coco-karpathy

yerevann

Dataset Card for "yerevann/coco-karpathy" The Karpathy split of COCO for image captioning.

THUDM/humaneval-x

THUDM

HumanEval-X is a benchmark for the evaluation of the multilingual ability of code generative models. It consists of 820 high-quality human-crafted data samples (each with test cases) in Python, C++, Java, JavaScript, and Go, and can be used for various tasks.

detection-datasets/fashionpedia

detection-datasets

Dataset Card for Fashionpedia Dataset Summary Fashionpedia is a dataset mapping out the visual aspects of the fashion world. From the paper: Fashionpedia is a new dataset which consists of two parts: (1) an ontology built by fashion experts containing 27 main apparel categories, 19 apparel parts, 294 fine-grained attributes and their relationships; (2) a dataset with everyday and celebrity event fashion images annotated with segmentation masks and their… See the full description on the dataset page: https://huggingface.co/datasets/detection-datasets/fashionpedia.

detection-datasets/fashionpedia_4_categories

detection-datasets

Dataset Card for Fashionpedia_4_categories This dataset is a variation of the fashionpedia dataset available here, with 2 key differences: It contains only 4 categories: Clothing Shoes Bags Accessories New splits were created: Train: 90% of the images Val: 5% Test 5% The goal is to make the detection task easier with 4 categories instead of 46 for the full fashionpedia dataset. This dataset was created using the detection_datasets library (GitHub, PyPI), you can check here… See the full description on the dataset page: https://huggingface.co/datasets/detection-datasets/fashionpedia_4_categories.

dbal0503/Bundesliga

dbal0503

Bundesliga Videos dataset from Kaggle competition: https://www.kaggle.com/competitions/dfl-bundesliga-data-shootout

ashraq/esc50

ashraq

https://github.com/karolpiczak/ESC-50 The dataset is available under the terms of the Creative Commons Attribution Non-Commercial license. K. J. Piczak. ESC: Dataset for Environmental Sound Classification. Proceedings of the 23rd Annual ACM Conference on Multimedia, Brisbane, Australia, 2015. [DOI: http://dx.doi.org/10.1145/2733373.2806390]

joelniklaus/Multi_Legal_Pile

joelniklaus

Multi Legal Pile is a dataset of legal documents in the 24 EU languages.

nuprl/MultiPL-E

nuprl

Dataset Card for MultiPL-E Dataset Summary MultiPL-E is a dataset for evaluating large language models for code generation that supports 22 programming languages. It takes the OpenAI HumanEval and the Mostly Basic Python Programs (MBPP) benchmarks and uses little compilers to translate them to other languages. It is easy to add support for new languages and benchmarks. The dataset is divided into several configurations named SRCDATA-LANG, where SRCDATA is… See the full description on the dataset page: https://huggingface.co/datasets/nuprl/MultiPL-E.

joelniklaus/eurlex_resources

joelniklaus

Dataset Card for EurlexResources: A Corpus Covering the Largest EURLEX Resources Dataset Summary This dataset contains large text resources (~179GB in total) from EURLEX that can be used for pretraining language models. Use the dataset like this: from datasets import load_dataset config = "de_caselaw" # {lang}_{resource} dataset = load_dataset("joelito/eurlex_resources", config, split='train', streaming=True) Supported Tasks and Leaderboards The… See the full description on the dataset page: https://huggingface.co/datasets/joelniklaus/eurlex_resources.

skytnt/anime-segmentation

skytnt

A segmentation dataset for anime character

heegyu/namuwiki-extracted

heegyu

namu.wiki database dump https://namu.wiki/ database dump 2022/03/01 571308rows download size: 2.19GB 주의사항 namu-wiki-extractor를 이용하여 전처리, 추가로 아래 전처리를 수행했습니다 헤더 제거 == 개요 == 테이블 제거 [age(1997-01-01)] 는 전처리 시점 기준으로 적용(2022년 10월 2일) [math(a / b + c)] 는 제거하지 않음. math 마크다운이 각주 내에 있을 경우, 각주가 전처리되지 않은 문제 있음. Usage pip install datasets from datasets import load_dataset dataset = load_dataset("heegyu/namuwiki-extracted")… See the full description on the dataset page: https://huggingface.co/datasets/heegyu/namuwiki-extracted.

NeelNanda/pile-10k

NeelNanda

The first 10K elements of The Pile, useful for debugging models trained on it. See the HuggingFace page for the full Pile for more info. Inspired by stas' great resource doing the same for OpenWebText

biglam/europeana_newspapers

biglam

Dataset Card for Dataset Name This dataset contains historic newspapers from Europeana. In total the collection has ~32 Billion tokens. Documentation for this dataset is a WIP. This dataset card aims to be a base template for new datasets. It has been generated using this raw template. Dataset Details Dataset Sources [optional] Repository: [More Information Needed] Paper [optional]: [More Information Needed] Demo [optional]: [More Information… See the full description on the dataset page: https://huggingface.co/datasets/biglam/europeana_newspapers.

YaYaB/onepiece-blip-captions

YaYaB

Disclaimer This was inspired from https://huggingface.co/datasets/lambdalabs/pokemon-blip-captions Dataset Card for One Piece BLIP captions Dataset used to train One Piece text to image model BLIP generated captions for One piece images collected from the web. Original images were obtained from Anime Characters and captioned with the pre-trained BLIP model. For each row the dataset contains image and text keys. image is a varying size PIL jpeg, and text is the… See the full description on the dataset page: https://huggingface.co/datasets/YaYaB/onepiece-blip-captions.

barkermrl/imagenet-a

barkermrl

The ImageNet-A dataset contains 7,500 natural adversarial examples. Source: https://github.com/hendrycks/natural-adv-examples.Also see the ImageNet-C and ImageNet-P datasets at https://github.com/hendrycks/robustness @article{hendrycks2019nae, title={Natural Adversarial Examples}, author={Dan Hendrycks and Kevin Zhao and Steven Basart and Jacob Steinhardt and Dawn Song}, journal={arXiv preprint arXiv:1907.07174}, year={2019}} There are 200 classes we consider. The WordNet ID and a… See the full description on the dataset page: https://huggingface.co/datasets/barkermrl/imagenet-a.

stochastic/random_streetview_images_pano_v0.0.2

stochastic

Dataset Card for panoramic street view images (v.0.0.2) Dataset Summary The random streetview images dataset are labeled, panoramic images scraped from randomstreetview.com. Each image shows a location accessible by Google Streetview that has been roughly combined to provide ~360 degree view of a single location. The dataset was designed with the intent to geolocate an image purely based on its visual content. Supported Tasks and Leaderboards None… See the full description on the dataset page: https://huggingface.co/datasets/stochastic/random_streetview_images_pano_v0.0.2.

bigcode/the-stack-dedup

bigcode

Dataset Card for The Stack Changelog Release Description v1.0 Initial release of the Stack. Included 30 programming languages and 18 permissive licenses. Note: Three included licenses (MPL/EPL/LGPL) are considered weak copyleft licenses. The resulting near-deduplicated dataset is 1.5TB in size. v1.1 The three copyleft licenses ((MPL/EPL/LGPL) were excluded and the list of permissive licenses extended to 193 licenses in total. The list of programming… See the full description on the dataset page: https://huggingface.co/datasets/bigcode/the-stack-dedup.

dennlinger/eur-lex-sum

dennlinger

The EUR-Lex-Sum dataset is a multilingual resource intended for text summarization in the legal domain. It is based on human-written summaries of legal acts issued by the European Union. It distinguishes itself by introducing a smaller set of high-quality human-written samples, each of which have much longer references (and summaries!) than comparable datasets. Additionally, the underlying legal acts provide a challenging domain-specific application to legal texts, which are so far underrepresented in non-English languages. For each legal act, the sample can be available in up to 24 languages (the officially recognized languages in the European Union); the validation and test samples consist entirely of samples available in all languages, and are aligned across all languages at the paragraph level.

bigscience/xP3

bigscience

xP3 (Crosslingual Public Pool of Prompts) is a collection of prompts & datasets across 46 of languages & 16 NLP tasks. It is used for the training of BLOOMZ and mT0, multilingual language models capable of following human instructions in dozens of languages zero-shot.

bigcode/the-stack-smol

bigcode

Dataset Description A small subset (~0.1%) of the-stack dataset, each programming language has 10,000 random samples from the original dataset. The dataset has 2.6GB of text (code). Languages The dataset contains 30 programming languages: "assembly", "batchfile", "c++", "c", "c-sharp", "cmake", "css", "dockerfile", "fortran", "go", "haskell", "html", "java", "javascript", "julia", "lua", "makefile", "markdown", "perl", "php", "powershell", "python", "ruby"… See the full description on the dataset page: https://huggingface.co/datasets/bigcode/the-stack-smol.

miracl/miracl

miracl

Dataset Card for MIRACL (Topics and Qrels) Dataset Description Homepage | Repository: | Paper | ArXiv MIRACL 🌍🙌🌏 (Multilingual Information Retrieval Across a Continuum of Languages) is a multilingual retrieval dataset that focuses on search across 18 different languages, which collectively encompass over three billion native speakers around the world. This dataset contains the collection data of the 16 "known languages". The remaining 2 "surprise languages"… See the full description on the dataset page: https://huggingface.co/datasets/miracl/miracl.

projecte-aina/raco_forums

projecte-aina

Dataset Card for Racó Forums Corpus Dataset Summary The Racó Forums Corpus is a 19-million-sentence corpus of Catalan user-generated text built from the forums of Racó Català. Since the existing available corpora in Catalan lacked conversational data, we searched for a major source of such data for Catalan, and we found Racó Català, a popular multitopic online forum. We obtained a database dump and we transformed all the threads so that we obtained documents that… See the full description on the dataset page: https://huggingface.co/datasets/projecte-aina/raco_forums.

biglam/gutenberg-poetry-corpus

biglam

Allison Parrish's Gutenberg Poetry Corpus This corpus was originally published under the CC0 license by Allison Parrish. Please visit Allison's fantastic accompanying GitHub repository for usage inspiration as well as more information on how the data was mined, how to create your own version of the corpus, and examples of projects using it. This dataset contains 3,085,117 lines of poetry from hundreds of Project Gutenberg books. Each line has a corresponding gutenberg_id (1191… See the full description on the dataset page: https://huggingface.co/datasets/biglam/gutenberg-poetry-corpus.

machelreid/m2d2

machelreid

M2D2: A Massively Multi-domain Language Modeling Dataset From the paper "M2D2: A Massively Multi-domain Language Modeling Dataset", (Reid et al., EMNLP 2022) Load the dataset as follows: import datasets dataset = datasets.load_dataset("machelreid/m2d2", "cs.CL") # replace cs.CL with the domain of your choice print(dataset['train'][0]['text']) Domains Culture_and_the_arts Culture_and_the_arts__Culture_and_Humanities Culture_and_the_arts__Games_and_Toys… See the full description on the dataset page: https://huggingface.co/datasets/machelreid/m2d2.

truongpdd/laion-2b-vietnamese-subset

truongpdd

Dataset Card for "laion-2b-vietnamese-subset" More Information needed

lcw99/cc100-ko-only

lcw99

cc100 dataset Korean only

esb/datasets

esb

All eight of datasets in ESB can be downloaded and prepared in just a single line of code through the Hugging Face Datasets library: from datasets import load_dataset librispeech = load_dataset("esb/datasets", "librispeech", split="train") "esb/datasets": the repository namespace. This is fixed for all ESB datasets. "librispeech": the dataset name. This can be changed to any of any one of the eight datasets in ESB to download that dataset. split="train": the split. Set this to one of… See the full description on the dataset page: https://huggingface.co/datasets/esb/datasets.

andrewkroening/Star-wars-scripts-dialogue-IV-VI

andrewkroening

Dataset Contents This dataset contains the concatenated scripts from the original (and best) Star Wars trilogy. The scripts are reduced to dialogue only, and are tagged with a line number and speaker. Dataset Disclaimer I don't own this data; or Star Wars. But it would be cool if I did. Star Wars is owned by Lucasfilms. I do not own any of the rights to this information. The scripts are derived from a couple sources: This GitHub Repo with raw files A Kaggle… See the full description on the dataset page: https://huggingface.co/datasets/andrewkroening/Star-wars-scripts-dialogue-IV-VI.

poloclub/diffusiondb

poloclub

DiffusionDB is the first large-scale text-to-image prompt dataset. It contains 2 million images generated by Stable Diffusion using prompts and hyperparameters specified by real users. The unprecedented scale and diversity of this human-actuated dataset provide exciting research opportunities in understanding the interplay between prompts and generative models, detecting deepfakes, and designing human-AI interaction tools to help users more easily use these models.

lambdalabs/naruto-blip-captions

lambdalabs

Dataset Card for Naruto BLIP captions Dataset used to train TBD. The original images were obtained from narutopedia.com and captioned with the pre-trained BLIP model. For each row the dataset contains image and text keys. image is a varying size PIL jpeg, and text is the accompanying text caption. Only a train split is provided. Example stable diffusion outputs "Bill Gates with a hoodie", "John Oliver with Naruto style", "Hello Kitty with Naruto style", "Lebron… See the full description on the dataset page: https://huggingface.co/datasets/lambdalabs/naruto-blip-captions.

allenai/prosocial-dialog

allenai

Dataset Card for ProsocialDialog Dataset Dataset Summary ProsocialDialog is the first large-scale multi-turn English dialogue dataset to teach conversational agents to respond to problematic content following social norms. Covering diverse unethical, problematic, biased, and toxic situations, ProsocialDialog contains responses that encourage prosocial behavior, grounded in commonsense social rules (i.e., rules-of-thumb, RoTs). Created via a human-AI collaborative… See the full description on the dataset page: https://huggingface.co/datasets/allenai/prosocial-dialog.

Norod78/cartoon-blip-captions

Norod78

Dataset Card for "cartoon-blip-captions"

ProGamerGov/StableDiffusion-v1-5-Regularization-Images

ProGamerGov

A collection of regularization / class instance datasets for the Stable Diffusion v1-5 model to use for DreamBooth prior preservation loss training. Files labeled with "mse vae" used the stabilityai/sd-vae-ft-mse VAE. For ease of use, datasets are stored as zip files containing 512x512 PNG images. The number of images in each zip file is specified at the end of the filename. There is currently a bug where HuggingFace is incorrectly reporting that the datasets are pickled. They are not picked… See the full description on the dataset page: https://huggingface.co/datasets/ProGamerGov/StableDiffusion-v1-5-Regularization-Images.

lewtun/music_genres

lewtun

Dataset Card for "music_genres" More Information needed

0xJustin/Dungeons-and-Diffusion

0xJustin

This is the dataset! Not the .ckpt trained model - the model is located here: https://huggingface.co/0xJustin/Dungeons-and-Diffusion/tree/main The newest version has manually captioned races and classes, and the model is trained with EveryDream. 30 images each of: aarakocra, aasimar, air_genasi, centaur, dragonborn, drow, dwarf, earth_genasi, elf, firbolg, fire_genasi, gith, gnome, goblin, goliath, halfling, human, illithid, kenku, kobold, lizardfolk, minotaur, orc, tabaxi, thrikreen, tiefling… See the full description on the dataset page: https://huggingface.co/datasets/0xJustin/Dungeons-and-Diffusion.

VietAI/vi_pubmed

VietAI

Dataset Summary 20M Vietnamese PubMed biomedical abstracts translated by the state-of-the-art English-Vietnamese Translation project. The data has been used as unlabeled dataset for pretraining a Vietnamese Biomedical-domain Transformer model. image source: Enriching Biomedical Knowledge for Vietnamese Low-resource Language Through Large-Scale Translation Language English: Original biomedical abstracts from Pubmed Vietnamese: Synthetic abstract translated by a… See the full description on the dataset page: https://huggingface.co/datasets/VietAI/vi_pubmed.

jpwahle/machine-paraphrase-dataset

jpwahle

Dataset Card for Machine Paraphrase Dataset (MPC) Dataset Summary The Machine Paraphrase Corpus (MPC) consists of ~200k examples of original, and paraphrases using two online paraphrasing tools. It uses two paraphrasing tools (SpinnerChief, SpinBot) on three source texts (Wikipedia, arXiv, student theses). The examples are not aligned, i.e., we sample different paragraphs for originals and paraphrased versions. How to use it You can load the dataset… See the full description on the dataset page: https://huggingface.co/datasets/jpwahle/machine-paraphrase-dataset.

ChristophSchuhmann/aesthetic-logo-ratings

ChristophSchuhmann

~ 15k logo images from LAION-5B have been rated for aesthetic preference ( preference_average ) and for how professional the design look ( professionalism_average ). license: apache-2.0

muhammadbilal5110/indian_food_images

muhammadbilal5110

Dataset Card for "indian_food_images" More Information needed

pszemraj/text2image-multi-prompt

pszemraj

text2image multi-prompt(s): a dataset collection collection of several text2image prompt datasets data was cleaned/normalized with the goal of removing "model specific APIs" like the "--ar" for Midjourney and so on data de-duplicated on a basic level: exactly duplicate prompts were dropped (after cleaning and normalization) updates Oct 2023: the default config has been updated with better deduplication. It was deduplicated with minhash (params: n-gram size set… See the full description on the dataset page: https://huggingface.co/datasets/pszemraj/text2image-multi-prompt.

armanc/ScienceQA

armanc

This is the ScientificQA dataset by Saikh et al (2022). @article{10.1007/s00799-022-00329-y, author = {Saikh, Tanik and Ghosal, Tirthankar and Mittal, Amish and Ekbal, Asif and Bhattacharyya, Pushpak}, title = {ScienceQA: A Novel Resource for Question Answering on Scholarly Articles}, year = {2022}, journal = {Int. J. Digit. Libr.}, month = {sep} }

statworx/leipzip-swiss

statworx

Dataset Card for Leipzig Corpora Swiss German Dataset Summary Swiss German Wikipedia corpus based on material from 2021.The corpus gsw_wikipedia_2021 is a Swiss German Wikipedia corpus based on material from 2021. It contains 232,933 sentences and 3,824,547 tokens. Languages Swiss-German Dataset Structure Data Instances Single sentences. Data Fields sentence: Text as string. Data Splits… See the full description on the dataset page: https://huggingface.co/datasets/statworx/leipzip-swiss.

bigbio/med_qa

bigbio

In this work, we present the first free-form multiple-choice OpenQA dataset for solving medical problems, MedQA, collected from the professional medical board exams. It covers three languages: English, simplified Chinese, and traditional Chinese, and contains 12,723, 34,251, and 14,123 questions for the three languages, respectively. Together with the question data, we also collect and release a large-scale corpus from medical textbooks from which the reading comprehension models can obtain necessary knowledge for answering the questions.

bigbio/meddialog

bigbio

The MedDialog dataset (English) contains conversations (in English) between doctors and patients.It has 0.26 million dialogues. The data is continuously growing and more dialogues will be added. The raw dialogues are from healthcaremagic.com and icliniq.com. All copyrights of the data belong to healthcaremagic.com and icliniq.com.

bigbio/mqp

bigbio

Medical Question Pairs dataset by McCreery et al (2020) contains pairs of medical questions and paraphrased versions of the question prepared by medical professional. Paraphrased versions were labelled as similar (syntactically dissimilar but contextually similar ) or dissimilar (syntactically may look similar but contextually dissimilar). Labels 1: similar, 0: dissimilar

bigbio/pubmed_qa

bigbio

PubMedQA is a novel biomedical question answering (QA) dataset collected from PubMed abstracts. The task of PubMedQA is to answer research biomedical questions with yes/no/maybe using the corresponding abstracts. PubMedQA has 1k expert-annotated (PQA-L), 61.2k unlabeled (PQA-U) and 211.3k artificially generated QA instances (PQA-A). Each PubMedQA instance is composed of: (1) a question which is either an existing research article title or derived from one, (2) a context which is the corresponding PubMed abstract without its conclusion, (3) a long answer, which is the conclusion of the abstract and, presumably, answers the research question, and (4) a yes/no/maybe answer which summarizes the conclusion. PubMedQA is the first QA dataset where reasoning over biomedical research texts, especially their quantitative contents, is required to answer the questions. PubMedQA datasets comprise of 3 different subsets: (1) PubMedQA Labeled (PQA-L): A labeled PubMedQA subset comprises of 1k manually annotated yes/no/maybe QA data collected from PubMed articles. (2) PubMedQA Artificial (PQA-A): An artificially labelled PubMedQA subset comprises of 211.3k PubMed articles with automatically generated questions from the statement titles and yes/no answer labels generated using a simple heuristic. (3) PubMedQA Unlabeled (PQA-U): An unlabeled PubMedQA subset comprises of 61.2k context-question pairs data collected from PubMed articles.

bigbio/tmvar_v3

bigbio

This dataset contains 500 PubMed articles manually annotated with mutation mentions of various kinds and dbsnp normalizations for each of them. In addition, it contains variant normalization options such as allele-specific identifiers from the ClinGen Allele Registry It can be used for NER tasks and NED tasks, This dataset does NOT have splits.

stjiris/portuguese-legal-sentences-v0

stjiris

Work developed as part of Project IRIS. Thesis: A Semantic Search System for Supremo Tribunal de Justiça Portuguese Legal Sentences Collection of Legal Sentences from the Portuguese Supreme Court of Justice The goal of this dataset was to be used for MLM and TSDAE Contributions @rufimelo99 If you use this work, please cite: @InProceedings{MeloSemantic, author="Melo, Rui and Santos, Pedro A. and Dias, Jo{\~a}o", editor="Moniz, Nuno and Vale, Zita and… See the full description on the dataset page: https://huggingface.co/datasets/stjiris/portuguese-legal-sentences-v0.

shjwudp/chinese-c4

shjwudp

Introduction Chinese-C4 is a clean Chinese internet dataset based on Common Crawl. The dataset is 46.29GB and has undergone multiple cleaning strategies, including Chinese filtering, heuristic cleaning based on punctuation, line-based hashing for deduplication, and repetition removal. The dataset is open source and free for commercial use, and you are welcome to use the data and the cleaning strategies provided and contribute your cleaning strategies. You can find the cleaning… See the full description on the dataset page: https://huggingface.co/datasets/shjwudp/chinese-c4.

Jzuluaga/atcosim_corpus

Jzuluaga

Dataset Card for ATCOSIM corpus Dataset Summary The ATCOSIM Air Traffic Control Simulation Speech corpus is a speech database of air traffic control (ATC) operator speech, provided by Graz University of Technology (TUG) and Eurocontrol Experimental Centre (EEC). It consists of ten hours of speech data, which were recorded during ATC real-time simulations using a close-talk headset microphone. The utterances are in English language and pronounced by ten non-native… See the full description on the dataset page: https://huggingface.co/datasets/Jzuluaga/atcosim_corpus.

thennal/IMaSC

thennal

IMaSC: ICFOSS Malayalam Speech Corpus IMaSC is a Malayalam text and speech corpus made available by ICFOSS for the purpose of developing speech technology for Malayalam, particularly text-to-speech. The corpus contains 34,473 text-audio pairs of Malayalam sentences spoken by 8 speakers, totalling in approximately 50 hours of audio. Dataset Structure The dataset consists of 34,473 instances with fields text, speaker, and audio. The audio is mono, sampled at 16kH.… See the full description on the dataset page: https://huggingface.co/datasets/thennal/IMaSC.

Nerfgun3/bad_prompt

Nerfgun3

Negative Embedding / Textual Inversion Idea The idea behind this embedding was to somehow train the negative prompt as an embedding, thus unifying the basis of the negative prompt into one word or embedding. Side note: Embedding has proven to be very helpful for the generation of hands! :) Usage To use this embedding you have to download the file aswell as drop it into the "\stable-diffusion-webui\embeddings" folder. Please put the embedding in… See the full description on the dataset page: https://huggingface.co/datasets/Nerfgun3/bad_prompt.

WillHeld/mtop

WillHeld

Dataset Card for "mtop" More Information needed

TheFusion21/PokemonCards

TheFusion21

Dataset Card for PokemonCards Languages All of the data is in English. Dataset Structure Data Instances { "id": "pl1-1", "image_url": "https://images.pokemontcg.io/pl1/1_hires.png", "caption": "A Stage 2 Pokemon Card of type Lightning with the title ""Ampharos"" and 130 HP of rarity ""Rare Holo"" evolved from Flaaffy from the set Platinum and the flavor text: ""None"". It has the attack ""Gigavolt"" with the cost Lightning… See the full description on the dataset page: https://huggingface.co/datasets/TheFusion21/PokemonCards.

deutsche-telekom/ger-backtrans-paraphrase

deutsche-telekom

German Backtranslated Paraphrase Dataset This is a dataset of more than 21 million German paraphrases. These are text pairs that have the same meaning but are expressed with different words. The source of the paraphrases are different parallel German / English text corpora. The English texts were machine translated back into German to obtain the paraphrases. This dataset can be used for example to train semantic text embeddings. To do this, for example, SentenceTransformers and… See the full description on the dataset page: https://huggingface.co/datasets/deutsche-telekom/ger-backtrans-paraphrase.

sayakpaul/nyu_depth_v2

sayakpaul

The NYU-Depth V2 data set is comprised of video sequences from a variety of indoor scenes as recorded by both the RGB and Depth cameras from the Microsoft Kinect.

bsmock/pubtables-1m

bsmock

PubTables-1M GitHub: https://github.com/microsoft/table-transformer Paper: "PubTables-1M: Towards comprehensive table extraction from unstructured documents" Hugging Face: Detection model Structure recognition model Currently we only support downloading the dataset as tar.gz files. Integrating with HuggingFace Datasets is something we hope to support in the future! Please switch to the "Files and versions" tab to download all of the files or use a command such as wget to… See the full description on the dataset page: https://huggingface.co/datasets/bsmock/pubtables-1m.

syzym/xbmu_amdo31

syzym

Dataset Card for [XBMU-AMDO31] Dataset Summary XBMU-AMDO31 dataset is a speech recognition corpus of Amdo Tibetan dialect. The open source corpus contains 31 hours of speech data and resources related to build speech recognition systems, including transcribed texts and a Tibetan pronunciation dictionary. Supported Tasks and Leaderboards automatic-speech-recognition: The dataset can be used to train a model for Amdo Tibetan Automatic Speech… See the full description on the dataset page: https://huggingface.co/datasets/syzym/xbmu_amdo31.

DTU54DL/commonvoice_accent_test

DTU54DL

Dataset Card for [Dataset Name] 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… See the full description on the dataset page: https://huggingface.co/datasets/DTU54DL/commonvoice_accent_test.

Jzuluaga/uwb_atcc

Jzuluaga

Dataset Card for UWB-ATCC corpus Dataset Summary The UWB-ATCC Corpus is provided provided by University of West Bohemia, Department of Cybernetics. The corpus contains recordings of communication between air traffic controllers and pilots. The speech is manually transcribed and labeled with the information about the speaker (pilot/controller, not the full identity of the person). The corpus is currently small (20 hours) but we plan to search for additional data… See the full description on the dataset page: https://huggingface.co/datasets/Jzuluaga/uwb_atcc.

ashraf-ali/quran-data

ashraf-ali

Dataset Card for Quran audio Content 7 Imam Full Quran Recitation: 7*6236 wav file csv contains the Text info for 11k subset short wav file Tarteel.io user dataset ~25k wav csv contains the Text info for 18k subset of the accepted user quality

Elite35P-Server/EliteVoiceProject

Elite35P-Server

Elite Voice Project これはホロライブ所属Vtuberさくらみこ氏の声をデータセット化し音声認識などで活用できるようにする事を目的とした非公式プロジェクトです。 LICENSEについてデータセット内の音声データすべてのデータは、hololive productionの二次創作ガイドラインに準拠する形で利用されています。これらのデータの著作権はカバー株式会社等が保有しており、リポジトリオーナー、コントリビューターは一切の権利を有しておりません。当プロジェクトへのご協力当プロジェクトは皆様のご協力を心より歓迎いたします。以下の方法をご一読いただき、そのうえでプルリクエストをお願い致します。始める前に hololive productionの二次創作ガイドラインを必ずお読みください。音声データの追加… See the full description on the dataset page: https://huggingface.co/datasets/Elite35P-Server/EliteVoiceProject.

1aurent/ICDAR-2011

1aurent

ICDAR 2011 Signature Verification Competition (SigComp2011) Description The collection contains simultaneously acquired online and offline samples. The collection contains offline and online signature samples. The offline dataset comprises PNG images, scanned at 400 dpi, RGB color. The online dataset comprises ascii files with the format: X, Y, Z (per line). Marcus Liwicki, Michael Blumenstein, Elisa van den Heuvel, Charles E.H. Berger, Reinoud D. Stoel, Bryan… See the full description on the dataset page: https://huggingface.co/datasets/1aurent/ICDAR-2011.

ashraq/tmdb-people-image

ashraq

Data was obtained from TMDB API

arbml/sudanese_dialect_speech

arbml

Dataset Card for "sudanese_dialect_speech" More Information needed

RobotsMaliAI/bayelemabaga

RobotsMaliAI

The Bayelemabaga dataset is a collection of 44160 aligned machine translation ready Bambara-French lines, originating from Corpus Bambara de Reference. The dataset is constitued of text extracted from 231 source files, varing from periodicals, books, short stories, blog posts, part of the Bible and the Quran.

Whispering-GPT/linustechtips-transcript-audio

Whispering-GPT

Dataset Card for "linustechtips" Dataset Summary This dataset is created by applying whisper to the videos of the Youtube channel Linus Tech Tips. The dataset was created a medium size whisper model. Languages Language: English Dataset Structure The dataset contains all the transcripts plus the audio of the different videos of Linus Tech Tips. Data Fields The dataset is composed by: id: Id of the youtube video.… See the full description on the dataset page: https://huggingface.co/datasets/Whispering-GPT/linustechtips-transcript-audio.

lucadiliello/english_wikipedia

lucadiliello

Dataset Card for "english_wikipedia" More Information needed

Jzuluaga/atco2_corpus_1h

Jzuluaga

Dataset Card for ATCO2 test set corpus (1hr set) Dataset Summary ATCO2 project aims at developing a unique platform allowing to collect, organize and pre-process air-traffic control (voice communication) data from air space. This project has received funding from the Clean Sky 2 Joint Undertaking (JU) under grant agreement No 864702. The JU receives support from the European Union’s Horizon 2020 research and innovation programme and the Clean Sky 2 JU members… See the full description on the dataset page: https://huggingface.co/datasets/Jzuluaga/atco2_corpus_1h.

domenicrosati/clinical_trial_texts

domenicrosati

Dataset Card for "clinical_trial_texts" These are the text of clinical trials dowloaded from https://ClinicalTrials.gov/AllAPIJSON.zip on Dec 3rd 2022. Total trials is 434977 Number of tokens is 2,184,397,556 (2.1bn tokens). The tokens here are from the default BERT tokenizer in hugginface. This data can be used for pretraining in the clinical trial and biomedical domains. If you use this data please acknowledge @domenicrosati and link to this dataset More Information needed

nguyenvulebinh/libris_clean_100

nguyenvulebinh

Dataset Card for librispeech_asr Dataset Summary LibriSpeech is a corpus of approximately 1000 hours of 16kHz read English speech, prepared by Vassil Panayotov with the assistance of Daniel Povey. The data is derived from read audiobooks from the LibriVox project, and has been carefully segmented and aligned. Supported Tasks and Leaderboards automatic-speech-recognition, audio-speaker-identification: The dataset can be used to train a model for… See the full description on the dataset page: https://huggingface.co/datasets/nguyenvulebinh/libris_clean_100.

MCG-NJU/MultiSports

MCG-NJU

This is a multi-person video dataset of spatio-temporally localized sports actions. Please refer to the github repo for evaluation.

argilla/uber-reviews

argilla

Dataset Card for "uber-reviews" Dataset Summary Using Python's Beautiful Soup library and Scrappy framework, scraped date, star rating, and comment from all reviews from 2013 - 2019. Languages english Citation Information https://www.kaggle.com/datasets/jschne61701/uber-rides-costumer-reviews-dataset https://www.sitejabber.com/reviews/uber.com https://www.consumeraffairs.com/travel/uber.html… See the full description on the dataset page: https://huggingface.co/datasets/argilla/uber-reviews.

dipesh/python-code-ds-mini

dipesh

Dataset Card for "python-code-ds-mini" More Information needed

tarteel-ai/everyayah

tarteel-ai

﷽ Dataset Card for Tarteel AI's EveryAyah Dataset Dataset Summary This dataset is a collection of Quranic verses and their transcriptions, with diacritization, by different reciters. Supported Tasks and Leaderboards [Needs More Information] Languages The audio is in Arabic. Dataset Structure Data Instances A typical data point comprises the audio file audio, and its transcription called text. The duration… See the full description on the dataset page: https://huggingface.co/datasets/tarteel-ai/everyayah.

thennal/indic_tts_ml

thennal

Indic TTS Malayalam Speech Corpus The Malayalam subset of Indic TTS Corpus, taken from this Kaggle database. The corpus contains one male and one female speaker, with a 2:1 ratio of samples due to missing files for the female speaker. The license is given in the repository.

HuggingFaceM4/NoCaps

HuggingFaceM4

Dubbed NoCaps, for novel object captioning at scale, NoCaps consists of 166,100 human-generated captions describing 15,100 images from the Open Images validation and test sets. The associated training data consists of COCO image-caption pairs, plus Open Images image-level labels and object bounding boxes. Since Open Images contains many more classes than COCO, nearly 400 object classes seen in test images have no or very few associated training captions (hence, nocaps).

zeynepgulhan/mediaspeech-with-cv-tr

zeynepgulhan

Dataset Card for "mediaspeech-with-cv-tr" More Information needed

zmao/chinese_food_caption

zmao

For finetunning stable diffuser with chinese food images

Muennighoff/flan

Muennighoff

This is a repreprocessed version of the FLAN dataset with any updates that have been made to the FLAN datasets since the release of the original FLAN. The script is available here. Tasks: {'aeslc_10templates', 'ag_news_subset_10templates', 'anli_r1_10templates', 'anli_r2_10templates', 'anli_r3_10templates', 'arc_challenge_10templates', 'arc_easy_10templates', 'bool_q_10templates', 'cb_10templates', 'cnn_dailymail_10templates', 'cola_10templates', 'common_gen_10templates'… See the full description on the dataset page: https://huggingface.co/datasets/Muennighoff/flan.

allenai/objaverse

allenai

Objaverse Objaverse is a Massive Dataset with 800K+ Annotated 3D Objects. More documentation is coming soon. In the meantime, please see our paper and website for additional details. License The use of the dataset as a whole is licensed under the ODC-By v1.0 license. Individual objects in Objaverse are all licensed as creative commons distributable objects, and may be under the following licenses: CC-BY 4.0 - 721K objects CC-BY-NC 4.0 - 25K objects CC-BY-NC-SA… See the full description on the dataset page: https://huggingface.co/datasets/allenai/objaverse.

Kanakmi/mental-disorders

Kanakmi

Labels: 0:'BPD' 1:'bipolar' 2:'depression' 3:'Anxiety' 4:'schizophrenia' 5:'mentalillness'

Dahoas/full-hh-rlhf

Dahoas

Dataset Card for "full-hh-rlhf" Anthropic's HH dataset reformatted into prompt, chosen, rejected samples.

Muennighoff/natural-instructions

Muennighoff

Preprocessed version of Super-Natural-Instructions from https://github.com/allenai/natural-instructions/tree/master/splits. The same inputs may appear with different outputs, thus to avoid duplicate inputs, you can deduplicate by the id or the inputs field. Train Tasks: ['task001_quoref_question_generation', 'task002_quoref_answer_generation', 'task022_cosmosqa_passage_inappropriate_binary', 'task023_cosmosqa_question_generation', 'task024_cosmosqa_answer_generation'… See the full description on the dataset page: https://huggingface.co/datasets/Muennighoff/natural-instructions.

openai/webgpt_comparisons

openai

WebGPT Comparisons contains all of the comparisons marked as suitable for reward modelling from the WebGPT paper.

bigcode/the-stack-metadata

bigcode

Dataset Card for The Stack Metadata Changelog Release Description v1.1 This is the first release of the metadata. It is for The Stack v1.1 v1.2 Metadata dataset matching The Stack v1.2 Dataset Summary This is a set of additional information for repositories used for The Stack. It contains file paths, detected licenes as well as some other information for the repositories. Supported Tasks and Leaderboards The main… See the full description on the dataset page: https://huggingface.co/datasets/bigcode/the-stack-metadata.

gamino/wiki_medical_terms

gamino

Dataset Card for [Dataset Name] Dataset Summary This data set contains over 6,000 medical terms and their wikipedia text. It is intended to be used on a downstream task that requires medical terms and their wikipedia explanation. Dataset Structure Data Instances [More Information Needed] Data Fields [More Information Needed] Data Splits [More Information Needed] Dataset Creation… See the full description on the dataset page: https://huggingface.co/datasets/gamino/wiki_medical_terms.

masakhane/afriqa_wiki_en_fr_100

masakhane

Anthropic/model-written-evals

Anthropic

Model-Written Evaluation Datasets This repository includes datasets written by language models, used in our paper on "Discovering Language Model Behaviors with Model-Written Evaluations." We intend the datasets to be useful to: Those who are interested in understanding the quality and properties of model-generated data Those who wish to use our datasets to evaluate other models for the behaviors we examined in our work (e.g., related to model persona, sycophancy, advanced AI… See the full description on the dataset page: https://huggingface.co/datasets/Anthropic/model-written-evals.

mrm8488/unnatural-instructions-core

mrm8488

Dataset Card for Unnatural Instructions (Core data) This info comes from the Unnatural Instructions GitHub repo. Unnatural Instructions is a dataset of instructions automatically generated by a Large Language model. See full details in the paper: "Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor" 🗃️ Content The Unnatural Instructions core dataset of 68,478 instruction-input-output triplets. 📄 Format Core data… See the full description on the dataset page: https://huggingface.co/datasets/mrm8488/unnatural-instructions-core.

mrm8488/unnatural-instructions-full

mrm8488

Dataset Card for Unnatural Instructions (Full data) This info comes from the Unnatural Instructions GitHub repo. Unnatural Instructions is a dataset of instructions automatically generated by a Large Language model. See full details in the paper: "Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor" 🗃️ Content It contains the full 240,670 Unnatural Instructions (instruction-input-output triplets) examples. It was constructed by expanding… See the full description on the dataset page: https://huggingface.co/datasets/mrm8488/unnatural-instructions-full.

bookbot/ljspeech_phonemes

bookbot

Dataset Card for "ljspeech_phonemes" More Information needed

akariasai/PopQA

akariasai

Dataset Card for PopQA Dataset Summary PopQA is a large-scale open-domain question answering (QA) dataset, consisting of 14k entity-centric QA pairs. Each question is created by converting a knowledge tuple retrieved from Wikidata using a template. Each question come with the original subject_entitiey, object_entityand relationship_type annotation, as well as Wikipedia monthly page views. Languages The dataset contains samples in English only.… See the full description on the dataset page: https://huggingface.co/datasets/akariasai/PopQA.

Dahoas/rm-static

Dahoas

Dataset Card for "rm-static" Split of hh-static used for training reward models after supervised fine-tuning.

olm/olm-wikipedia-20221220

olm

Dataset Card for OLM December 2022 Wikipedia Pretraining dataset, created with the OLM repo here from a December 2022 Wikipedia snapshot.

Jean-Baptiste/financial_news_sentiment

Jean-Baptiste

Dataset Card for "financial_news_sentiment" Manually validated sentiment for ~2000 Canadian news articles. The dataset also include a column topic which contains one of the following value: acquisition other quaterly financial release appointment to new position dividend corporate update drillings results conference share repurchase program grant of stocks This was generated automatically using a zero-shot classification model and was not reviewed manually.