asoria/hf-datasets-descriptions · Datasets at Fast360

id stringlengths 6 121	author stringlengths 2 42	description stringlengths 0 6.67k
bigscience/P3	bigscience	Dataset Card for P3 Dataset Summary P3 (Public Pool of Prompts) is a collection of prompted English datasets covering a diverse set of NLP tasks. A prompt is the combination of an input template and a target template. The templates are functions mapping a data example into natural language for the input and target sequences. For example, in the case of an NLI dataset, the data example would include fields for Premise, Hypothesis, Label. An input template would be… See the full description on the dataset page: https://huggingface.co/datasets/bigscience/P3.
castorini/afriberta-corpus	castorini	Corpus used for training AfriBERTa models
ccdv/arxiv-classification	ccdv	Arxiv Classification: a classification of Arxiv Papers (11 classes). This dataset is intended for long context classification (documents have all > 4k tokens). Copied from "Long Document Classification From Local Word Glimpses via Recurrent Attention Learning" @ARTICLE{8675939, author={He, Jun and Wang, Liqun and Liu, Liu and Feng, Jiao and Wu, Hao}, journal={IEEE Access}, title={Long Document Classification From Local Word Glimpses via Recurrent Attention Learning}, year={2019}… See the full description on the dataset page: https://huggingface.co/datasets/ccdv/arxiv-classification.
ccdv/arxiv-summarization	ccdv	Arxiv dataset for summarization Dataset for summarization of long documents.Adapted from this repo.Note that original data are pre-tokenized so this dataset returns " ".join(text) and add "\n" for paragraphs. This dataset is compatible with the run_summarization.py script from Transformers if you add this line to the summarization_name_mapping variable: "ccdv/arxiv-summarization": ("article", "abstract") Data Fields id: paper id article: a string containing the… See the full description on the dataset page: https://huggingface.co/datasets/ccdv/arxiv-summarization.
ccdv/govreport-summarization	ccdv	GovReport dataset for summarization Dataset for summarization of long documents.Adapted from this repo and this paperThis dataset is compatible with the run_summarization.py script from Transformers if you add this line to the summarization_name_mapping variable: "ccdv/govreport-summarization": ("report", "summary") Data Fields id: paper id report: a string containing the body of the report summary: a string containing the summary of the report Data… See the full description on the dataset page: https://huggingface.co/datasets/ccdv/govreport-summarization.
ccdv/pubmed-summarization	ccdv	PubMed dataset for summarization Dataset for summarization of long documents.Adapted from this repo.Note that original data are pre-tokenized so this dataset returns " ".join(text) and add "\n" for paragraphs. This dataset is compatible with the run_summarization.py script from Transformers if you add this line to the summarization_name_mapping variable: "ccdv/pubmed-summarization": ("article", "abstract") Data Fields id: paper id article: a string containing… See the full description on the dataset page: https://huggingface.co/datasets/ccdv/pubmed-summarization.
clips/mfaq	clips	We present the first multilingual FAQ dataset publicly available. We collected around 6M FAQ pairs from the web, in 21 different languages.
clips/mqa	clips	MQA is a multilingual corpus of questions and answers parsed from the Common Crawl. Questions are divided between Frequently Asked Questions (FAQ) pages and Community Question Answering (CQA) pages.
dynabench/dynasent	dynabench	Dynabench.DynaSent is a Sentiment Analysis dataset collected using a human-and-model-in-the-loop.
flax-sentence-embeddings/stackexchange_math_jsonl	flax-sentence-embeddings	This new dataset is designed to solve this great NLP task and is crafted with a lot of care.
gabtan99/pex-conversations	gabtan99	PinoyExchange (PEx) Conversations Dataset Summary PEx Conversations is a dataset composed of collected threads from PinoyExchange.com (Consisting of Tagalog, English, or Taglish responses). The corpus consists of 45K total scraped threads from 8 subforums. The data only consists of the user message which means any images, videos, links, or any embdedded html are not collected in the scraping process. All characters have been transliterated to its closest ASCII… See the full description on the dataset page: https://huggingface.co/datasets/gabtan99/pex-conversations.
gsarti/clean_mc4_it	gsarti	A thoroughly cleaned version of the Italian portion of the multilingual colossal, cleaned version of Common Crawl's web crawl corpus (mC4) by AllenAI. Based on Common Crawl dataset: "https://commoncrawl.org". This is the processed version of Google's mC4 dataset by AllenAI, with further cleaning detailed in the repository README file.
gsarti/flores_101	gsarti	One of the biggest challenges hindering progress in low-resource and multilingual machine translation is the lack of good evaluation benchmarks. Current evaluation benchmarks either lack good coverage of low-resource languages, consider only restricted domains, or are low quality because they are constructed using semi-automatic procedures. In this work, we introduce the FLORES evaluation benchmark, consisting of 3001 sentences extracted from English Wikipedia and covering a variety of different topics and domains. These sentences have been translated in 101 languages by professional translators through a carefully controlled process. The resulting dataset enables better assessment of model quality on the long tail of low-resource languages, including the evaluation of many-to-many multilingual translation systems, as all translations are multilingually aligned. By publicly releasing such a high-quality and high-coverage dataset, we hope to foster progress in the machine translation community and beyond.
huggingartists/kendrick-lamar	huggingartists	This dataset is designed to generate lyrics with HuggingArtists.
huggingartists/mf-doom	huggingartists	This dataset is designed to generate lyrics with HuggingArtists.
huggingartists/young-thug	huggingartists	This dataset is designed to generate lyrics with HuggingArtists.
iarfmoose/qa_evaluator	iarfmoose	This is the same dataset as the question_generator dataset but with the context removed and the question and answer in separate fields. This is intended to be used with the question_generator repo to train the qa_evaluator model which predicts whether a question and answer pair makes sense.
iarfmoose/question_generator	iarfmoose	This dataset is made up of data taken from SQuAD v2.0, RACE, CoQA, and MSMARCO. Some examples have been filtered out of the original datasets and others have been modified. There are two fields; question and text. The question field contains the question, and the text field contains both the answer and the context in the following format: "<answer> (answer text) <context> (context text)" The and are included as special tokens in the question generator's tokenizer. This dataset is intended to… See the full description on the dataset page: https://huggingface.co/datasets/iarfmoose/question_generator.
imvladikon/hebrew_speech_kan	imvladikon	Dataset Card for Dataset Name Dataset Summary Hebrew Dataset for ASR Supported Tasks and Leaderboards [More Information Needed] Languages [More Information Needed] Dataset Structure Data Instances {'audio': {'path': '/root/.cache/huggingface/datasets/downloads/extracted/8ce7402f6482c6053251d7f3000eec88668c994beb48b7ca7352e77ef810a0b6/train/e429593fede945c185897e378a5839f4198.wav', 'array':… See the full description on the dataset page: https://huggingface.co/datasets/imvladikon/hebrew_speech_kan.
jfrenz/legalglue	jfrenz	\ Legal General Language Understanding Evaluation (LegalGLUE) benchmark is a collection of datasets for evaluating model performance across a diverse set of legal NLP tasks
jgammack/SAE-door-abstracts	jgammack	SAE-door-abstracts This dataset includes ~1,550 texts of abstracts of technical papers and journal articles from the SAE Mobilus database that cover the topics of automotive or aerospace doors, noise, acoustics, and vibrations.
jglaser/binding_affinity	jglaser	A dataset to fine-tune language models on protein-ligand binding affinity prediction.
kiyoung2/aistage-mrc	kiyoung2	AI Stage MRC task Version Info v4.1.1 v3.2.3데이터 (train_dataset_aug)에 punctuation추가한 데이터셋, both train and validation train_aug_punctuation에 있음 v4.1.0의 오류 해결 v4.1.0 v3.2.2데이터(train_dataset_aug)에 punctuation추가한 데이터셋, both train and validation train_data_aug에 있음 answers 잘못 labeling된 데이터 v4.0.1 punctuation추가한 데이터셋, both train and validation answers type 정상 v4.0.0 punctuation추가한 데이터셋, only train answers… See the full description on the dataset page: https://huggingface.co/datasets/kiyoung2/aistage-mrc.
lara-martin/Scifi_TV_Shows	lara-martin	Dataset Card for Science Fiction TV Show Plots Corpus Dataset Description A collection of long-running (80+ episodes) science fiction TV show plot synopses, scraped from Fandom.com wikis. Collected Nov 2017. Each episode is considered a "story". Contains plot summaries from: Babylon 5 (https://babylon5.fandom.com/wiki/Main_Page) - 84 stories Doctor Who (https://tardis.fandom.com/wiki/Doctor_Who_Wiki) - 311 stories Doctor Who spin-offs - 95 stories Farscape… See the full description on the dataset page: https://huggingface.co/datasets/lara-martin/Scifi_TV_Shows.
lewtun/github-issues	lewtun	Dataset Card for GitHub Issues Dataset Summary GitHub Issues is a dataset consisting of GitHub issues and pull requests associated with the 🤗 Datasets repository. It is intended for educational purposes and can be used for semantic search or multilabel text classification. The contents of each GitHub issue are in English and concern the domain of datasets for NLP, computer vision, and beyond. Supported Tasks and Leaderboards For each of the tasks… See the full description on the dataset page: https://huggingface.co/datasets/lewtun/github-issues.
liweili/c4_200m	liweili	\ GEC Dataset Generated from C4
lukesjordan/worldbank-project-documents	lukesjordan	Dataset Card for World Bank Project Documents Dataset Summary This is a dataset of documents related to World Bank development projects in the period 1947-2020. The dataset includes the documents used to propose or describe projects when they are launched, and those in the review. The documents are indexed by the World Bank project ID, which can be used to obtain features from multiple publicly available tabular datasets. Supported Tasks and… See the full description on the dataset page: https://huggingface.co/datasets/lukesjordan/worldbank-project-documents.
luozhouyang/dureader	luozhouyang	dureader 数据来自千言DuReader数据集，这里是原始地址千言数据集：阅读理解。本数据集只用作学术研究使用。如果本仓库涉及侵权行为，会立即删除。目前包含以下两个子集： DuReader-robust DuReader-checklist from datasets import load_dataset robust = load_dataset("luozhouyang/dureader", "robust") checklist = load_dataset("luozhouyang/dureader", "checklist")
codeparrot/codeparrot-clean	codeparrot	CodeParrot 🦜 Dataset Cleaned What is it? A dataset of Python files from Github. This is the deduplicated version of the codeparrot. Processing The original dataset contains a lot of duplicated and noisy data. Therefore, the dataset was cleaned with the following steps: Deduplication Remove exact matches Filtering Average line length < 100 Maximum line length < 1000 Alpha numeric characters fraction > 0.25 Remove auto-generated files (keyword… See the full description on the dataset page: https://huggingface.co/datasets/codeparrot/codeparrot-clean.
ml6team/cnn_dailymail_nl	ml6team	This dataset is the CNN/Dailymail dataset translated to Dutch. This is the original dataset: ``` load_dataset("cnn_dailymail", '3.0.0') ``` And this is the HuggingFace translation pipeline: ``` pipeline( task='translation_en_to_nl', model='Helsinki-NLP/opus-mt-en-nl', tokenizer='Helsinki-NLP/opus-mt-en-nl') ```
ml6team/xsum_nl	ml6team	Dataset Card for XSum NL Dataset Summary This dataset is a machine translated dataset. It's the XSum dataset translated with this model from English to Dutch. See the Hugginface page of the original dataset for more information on the format of this dataset. Use with: from datasets import load_dataset load_dataset("csv", "ml6team/xsum_nl") Languages Dutch Dataset Structure Data Instances [More Information Needed]… See the full description on the dataset page: https://huggingface.co/datasets/ml6team/xsum_nl.
mostol/wiktionary-ipa	mostol	Pronunciation information pulled from wiktionary.org.
nateraw/fairface	nateraw	Dataset Card for FairFace Usage from io import BytesIO from PIL import Image import datasets def bytes_to_pil(example_batch): example_batch['img'] = [ Image.open(BytesIO(b)) for b in example_batch.pop('img_bytes') ] return example_batch ds = datasets.load_dataset('nateraw/fairface') ds = ds.with_transform(bytes_to_pil) Dataset Summary Existing public face datasets are strongly biased toward Caucasian faces, and other races… See the full description on the dataset page: https://huggingface.co/datasets/nateraw/fairface.
ncduy/mt-en-vi	ncduy	Dataset Card for Machine Translation Paired English-Vietnamese Sentences Dataset Summary [More Information Needed] Supported Tasks and Leaderboards [More Information Needed] Languages The language of the dataset text sentence is English ('en') and Vietnamese (vi). Dataset Structure Data Instances An instance example: { 'en': 'And what I think the world needs now is more connections.', 'vi': 'Và tôi… See the full description on the dataset page: https://huggingface.co/datasets/ncduy/mt-en-vi.
nferruz/UR50_2021_04	nferruz	Dataset Card for UR50_2021_04 Dataset Summary The Uniref50 (UR50) dataset version 2021/04 is a biological dataset taken from the Uniprot database: https://www.uniprot.org/ Supported Tasks and Leaderboards The UR50 dataset contains 48 Million protein sequences. It is a useful dataset to train protein language models. Languages Proteins Dataset Structure Data Instances Data Fields… See the full description on the dataset page: https://huggingface.co/datasets/nferruz/UR50_2021_04.
nthngdy/ccnews_split	nthngdy	CC-News containing news articles from news sites all over the world The data is available on AWS S3 in the Common Crawl bucket at /crawl-data/CC-NEWS/. This version of the dataset has 708241 articles. It represents a small portion of English language subset of the CC-News dataset created using news-please(Hamborg et al.,2017) to collect and extract English language portion of CC-News.
ought/raft	ought	Large pre-trained language models have shown promise for few-shot learning, completing text-based tasks given only a few task-specific examples. Will models soon solve classification tasks that have so far been reserved for human research assistants? [RAFT](https://raft.elicit.org) is a few-shot classification benchmark that tests language models: - across multiple domains (lit review, tweets, customer interaction, etc.) - on economically valuable classification tasks (someone inherently cares about the task) - in a setting that mirrors deployment (50 examples per task, info retrieval allowed, hidden test set)
pile-of-law/pile-of-law	pile-of-law	We curate a large corpus of legal and administrative data. The utility of this data is twofold: (1) to aggregate legal and administrative data sources that demonstrate different norms and legal standards for data filtering; (2) to collect a dataset that can be used in the future for pretraining legal-domain language models, a key direction in access-to-justice initiatives.
pmc/open_access	pmc	The PMC Open Access Subset includes more than 3.4 million journal articles and preprints that are made available under license terms that allow reuse. Not all articles in PMC are available for text mining and other reuse, many have copyright protection, however articles in the PMC Open Access Subset are made available under Creative Commons or similar licenses that generally allow more liberal redistribution and reuse than a traditional copyrighted work. The PMC Open Access Subset is one part of the PMC Article Datasets
qanastek/ELRC-Medical-V2	qanastek	ELRC-Medical-V2 : European parallel corpus for healthcare machine translation Dataset Summary ELRC-Medical-V2 is a parallel corpus for neural machine translation funded by the European Commission and coordinated by the German Research Center for Artificial Intelligence. Supported Tasks and Leaderboards translation: The dataset can be used to train a model for translation. Languages In our case, the corpora consists of a pair of… See the full description on the dataset page: https://huggingface.co/datasets/qanastek/ELRC-Medical-V2.
qanastek/EMEA-V3	qanastek	EMEA-V3 : European parallel translation corpus from the European Medicines Agency Dataset Summary EMEA-V3 is a parallel corpus for neural machine translation collected and aligned by Tiedemann, Jorg during the OPUS project. Supported Tasks and Leaderboards translation: The dataset can be used to train a model for translation. Languages In our case, the corpora consists of a pair of source and target sentences for all 22 different… See the full description on the dataset page: https://huggingface.co/datasets/qanastek/EMEA-V3.
qanastek/WMT-16-PubMed	qanastek	WMT'16 Biomedical Translation Task - PubMed parallel datasets http://www.statmt.org/wmt16/biomedical-translation-task.html
rahular/itihasa	rahular	A Sanskrit-English machine translation dataset.
sentence-transformers/embedding-training-data	sentence-transformers	Training Data for Text Embedding Models This repository contains raw datasets, all of which have also been formatted for easy training in the Embedding Model Datasets collection. We recommend looking there first. This repository contains training files to train text embedding models, e.g. using sentence-transformers. Data Format All files are in a jsonl.gz format: Each line contains a JSON-object that represent one training example. The JSON objects can come in… See the full description on the dataset page: https://huggingface.co/datasets/sentence-transformers/embedding-training-data.
sentence-transformers/reddit-title-body	sentence-transformers	Reddit (Title, Body)-Pairs This dataset contains jsonl-Files about (title, body) pairs from Reddit. Each line is a JSON object of the following format: {'title': 'The title of a thread', 'body': 'The longer body of the thread', 'subreddit': 'subreddit_name'} The 2021 file contains submissions up until including 2021-06. Entries in the respective files are shuffled on a monthly basis. The data has been filtered for: Remove threads with an upvote_ratio < 0.5 Only include threads… See the full description on the dataset page: https://huggingface.co/datasets/sentence-transformers/reddit-title-body.
shibing624/source_code	shibing624	纯文本数据，内容：高质量编程源代码，包括Python，Java，CPP源代码
solomonk/reddit_mental_health_posts	solomonk	Reddit posts about mental health files adhd.csv from r/adhd aspergers.csv from r/aspergers depression.csv from r/depression ocd.csv from r/ocd ptsd.csv from r/ptsd fields author body created_utc id num_comments score subreddit title upvote_ratio url for more details about theses fields Praw Submission.
stas/openwebtext-10k	stas	An open-source replication of the WebText dataset from OpenAI. This is a small subset representing the first 10K records from the original dataset - created for testing. The full 8M-record dataset is at https://huggingface.co/datasets/openwebtext
svakulenk0/qrecc	svakulenk0	Dataset Card for QReCC: Question Rewriting in Conversational Context Dataset Summary QReCC (Question Rewriting in Conversational Context) is an end-to-end open-domain question answering dataset comprising of 14K conversations with 81K question-answer pairs. The goal of this dataset is to provide a challenging benchmark for end-to-end conversational question answering that includes the individual subtasks of question rewriting, passage retrieval and reading… See the full description on the dataset page: https://huggingface.co/datasets/svakulenk0/qrecc.
tau/scrolls	tau	SCROLLS: Standardized CompaRison Over Long Language Sequences. A suite of natural language datasets that require reasoning over long texts. https://scrolls-benchmark.com/
tharindu/SOLID	tharindu	SOLID: A Large-Scale Semi-Supervised Dataset for Offensive Language Identification The widespread use of offensive content in social media has led to an abundance of research in detecting language such as hate speech, cyberbullying, and cyber-aggression. Recent work presented the OLID dataset, which follows a taxonomy for offensive language identification that provides meaningful information for understanding the type and the target of offensive messages. However, it is limited… See the full description on the dataset page: https://huggingface.co/datasets/tharindu/SOLID.
transformersbook/codeparrot	transformersbook	CodeParrot 🦜 Dataset What is it? This is the full CodeParrot dataset. It contains Python files used to train the code generation model in Chapter 10: Training Transformers from Scratch in the NLP with Transformers book. You can find the full code in the accompanying Github repository. Creation It was created with the GitHub dataset available via Google's BigQuery. It contains approximately 22 million Python files and is 180 GB (50 GB compressed)… See the full description on the dataset page: https://huggingface.co/datasets/transformersbook/codeparrot.
turingbench/TuringBench	turingbench	This benchmark environment contains a dataset comprised of generated texts from pre-trained language models. We also have two benchmark tasks - human vs. machine (i.e., binary classification) and authorship attribution (i.e., multi-class classification). These benchmark tasks and dataset are hosted on the TuringBench website with Leaderboards for each task.
ucberkeley-dlab/measuring-hate-speech	ucberkeley-dlab	Dataset card for Measuring Hate Speech This is a public release of the dataset described in Kennedy et al. (2020) and Sachdeva et al. (2022), consisting of 39,565 comments annotated by 7,912 annotators, for 135,556 combined rows. The primary outcome variable is the "hate speech score" but the 10 constituent ordinal labels (sentiment, (dis)respect, insult, humiliation, inferior status, violence, dehumanization, genocide, attack/defense, hate speech benchmark) can also be treated… See the full description on the dataset page: https://huggingface.co/datasets/ucberkeley-dlab/measuring-hate-speech.
unicamp-dl/mmarco	unicamp-dl	mMARCO translated datasets
wikimedia/wikisource	wikimedia	Dataset Card for Wikimedia Wikisource Dataset Summary Wikisource dataset containing cleaned articles of all languages. The dataset is built from the Wikisource dumps (https://dumps.wikimedia.org/) with one subset per language, each containing a single train split. Each example contains the content of one full Wikisource text with cleaning to strip markdown and unwanted sections (references, etc.). All language subsets have already been processed for recent dump… See the full description on the dataset page: https://huggingface.co/datasets/wikimedia/wikisource.
winvoker/turkish-sentiment-analysis-dataset	winvoker	Dataset This dataset contains positive , negative and notr sentences from several data sources given in the references. In the most sentiment models , there are only two labels; positive and negative. However , user input can be totally notr sentence. For such cases there were no data I could find. Therefore I created this dataset with 3 class. Positive and negative sentences are listed below. Notr examples are extraced from turkish wiki dump. In addition, added some random text… See the full description on the dataset page: https://huggingface.co/datasets/winvoker/turkish-sentiment-analysis-dataset.
z-uo/female-LJSpeech-italian	z-uo	Italian Male Voice This dataset is an Italian version of LJSpeech, that merge all female audio of the same speaker finded into M-AILABS Speech Dataset. This dataset contains 8h 23m of one speacker recorded at 16000Hz. This is a valid choiche to train an italian TTS deep model with female voice.
zhoujun/hitab	zhoujun	annotations_creators: crowdsourced language_creators: crowdsourced languages: en multilinguality: monolingual size_categories: 100K<n<1M source_datasets: original task_categories: tableqa, data2text task_ids: tableqa
huggan/anime-faces	huggan	Dataset Card for anime-faces Dataset Summary This is a dataset consisting of 21551 anime faces scraped from www.getchu.com, which are then cropped using the anime face detection algorithm in https://github.com/nagadomi/lbpcascade_animeface. All images are resized to 64 * 64 for the sake of convenience. Please also cite the two sources when using this dataset. Some outliers are still present in the dataset: Bad cropping results Some non-human faces. Feel free to… See the full description on the dataset page: https://huggingface.co/datasets/huggan/anime-faces.
nlpaueb/finer-139	nlpaueb	FiNER-139 is a named entity recognition dataset consisting of 10K annual and quarterly English reports (filings) of publicly traded companies downloaded from the U.S. Securities and Exchange Commission (SEC) annotated with 139 XBRL tags in the IOB2 format.
google/xtreme_s	google	XTREME-S covers four task families: speech recognition, classification, speech-to-text translation and retrieval. Covering 102 languages from 10+ language families, 3 different domains and 4 task families, XTREME-S aims to simplify multilingual speech representation evaluation, as well as catalyze research in “universal” speech representation learning.
McGill-NLP/feedbackQA	McGill-NLP	FeedbackQA is a retrieval-based QA dataset that contains interactive feedback from users. It has two parts: the first part contains a conventional RQA dataset, whilst this repo contains the second part, which contains feedback(ratings and natural language explanations) for QA pairs.
gigant/horse2zebra	gigant	Two unpaired sets of photos of respectively horses and zebras, designed for unpaired image-to-image translation, as seen in the paper introducing CycleGAN
ctheodoris/Genecorpus-30M	ctheodoris	Dataset Card for Genecorpus-30M Dataset Description Point of Contact: [email protected] Dataset Summary We assembled a large-scale pretraining corpus, Genecorpus-30M, comprised of ~30 million human single cell transcriptomes from a broad range of tissues from publicly available data. This corpus was used for pretraining Geneformer, a pretrained transformer model that enables context-aware predictions in settings with limited… See the full description on the dataset page: https://huggingface.co/datasets/ctheodoris/Genecorpus-30M.
SetFit/amazon_reviews_multi_ja	SetFit	#amazon reviews multi japanese This dataset is a port of the official ['amazon_reviews_multi' dataset] (https://huggingface.co/datasets/amazon_reviews_multi) on the Hub. It has just the Japanese language version. It has been reduced to just 3 columns (and 4th "label_text") that are relevant to the SetFit task.
Stanford/wikitablequestions	Stanford	This WikiTableQuestions dataset is a large-scale dataset for the task of question answering on semi-structured tables.
openclimatefix/uk_pv	openclimatefix	# UK PV dataset PV solar generation data from the UK. This dataset contains dataa from 1311 PV systems from 2018-01-01 to 2021-10-27. The time series of solar generation is in 5 minutes chunks. This data is from collected from live PV systems in the UK. We have obfuscated the location of the pv systems for privacy. If you are the owner of a PV system in the dataset, and do not want this data to be shared, please do get in contact with [email protected]. ## Files The dataset contains two files - metadata.csv: Data about the PV systems, e.g location - pv.netcdf: Time series of PV solar generation ### metadata.csv Metadata of the different PV systems. Note that there are extra PV systems in this metadata that do not appear in the pv timeseries data The csv columns are - ss_id: the id of the system - latitude_rounded: latitude of the pv system, but rounded to approximately the nearest km - longitude_rounded: latitude of the pv system, but rounded to approximately the nearest km - llsoacd: TODO - orientation: The orientation of the pv system - tilt: The tilt of the pv system - kwp: The capacity of the pv system - operational_at: the datetime the pv system started working ### pv.netcdf Time series data of pv solar generation data is in a [xarray](https://docs.xarray.dev/en/stable/) format. The data variables are the same as 'ss_id' in the metadata. Each data variable contains the solar generation (in kw) for that pv system. The ss_id's here are a subset of the all the ss_id's in the metadata The co-ordinates of the date are 'datetime' which is the datetime of the solar generation reading.
Monash-University/monash_tsf	Monash-University	Monash Time Series Forecasting Repository which contains 30+ datasets of related time series for global forecasting research. This repository includes both real-world and competition time series datasets covering varied domains.
emrecan/nli_tr_for_simcse	emrecan	NLI-TR for Supervised SimCSE This dataset is a modified version of NLI-TR dataset. Its intended use is to train Supervised SimCSE models for sentence-embeddings. Steps followed to produce this dataset are listed below: Merge train split of snli_tr and multinli_tr subsets. Find every premise that has an entailment hypothesis and a contradiction hypothesis. Write found triplets into sent0 (premise), sent1 (entailment hypothesis), hard_neg (contradiction hypothesis) format. See… See the full description on the dataset page: https://huggingface.co/datasets/emrecan/nli_tr_for_simcse.
huggan/few-shot-art-painting	huggan	Citation @article{DBLP:journals/corr/abs-2101-04775, author = {Bingchen Liu and Yizhe Zhu and Kunpeng Song and Ahmed Elgammal}, title = {Towards Faster and Stabilized {GAN} Training for High-fidelity Few-shot Image Synthesis}, journal = {CoRR}, volume = {abs/2101.04775}, year = {2021}, url = {https://arxiv.org/abs/2101.04775}, eprinttype = {arXiv}, eprint = {2101.04775}… See the full description on the dataset page: https://huggingface.co/datasets/huggan/few-shot-art-painting.
marksverdhei/wordnet-definitions-en-2021	marksverdhei	Wordnet definitions for English Dataset by Princeton WordNet and the Open English WordNet team https://github.com/globalwordnet/english-wordnet This dataset contains every entry in wordnet that has a definition and an example. Be aware that the word "null" can be misinterpreted as a null value if loading it in with e.g. pandas
somosnlp-hackathon-2022/spanish-to-quechua	somosnlp-hackathon-2022	Spanish to Quechua Dataset Description This dataset is a recopilation of webs and others datasets that shows in dataset creation section. This contains translations from spanish (es) to Qechua of Ayacucho (qu). Dataset Structure Data Fields es: The sentence in Spanish. qu: The sentence in Quechua of Ayacucho. Data Splits train: To train the model (102 747 sentences). Validation: To validate the model during training… See the full description on the dataset page: https://huggingface.co/datasets/somosnlp-hackathon-2022/spanish-to-quechua.
SocialGrep/the-reddit-dataset-dataset	SocialGrep	A meta dataset of Reddit's own /r/datasets community.
bible-nlp/biblenlp-corpus	bible-nlp	Dataset Card for BibleNLP Corpus Dataset Summary Partial and complete Bible translations in 833 languages, aligned by verse. Languages aai, aak, aau, aaz, abt, abx, aby, acf, acr, acu, adz, aer, aey, agd, agg, agm, agn, agr, agt, agu, aia, aii, aka, ake, alp, alq, als, aly, ame, amf, amk, amm, amn, amo, amp, amr, amu, amx, anh, anv, aoi, aoj, aom, aon, apb, ape, apn, apr, apu, apw, apz, arb, are, arl, arn, arp, asm, aso, ata, atb, atd, atg, att, auc… See the full description on the dataset page: https://huggingface.co/datasets/bible-nlp/biblenlp-corpus.
skt/kobest_v1	skt	Dataset Card for KoBEST Dataset Summary KoBEST is a Korean benchmark suite consists of 5 natural language understanding tasks that requires advanced knowledge in Korean. Supported Tasks and Leaderboards Boolean Question Answering, Choice of Plausible Alternatives, Words-in-Context, HellaSwag, Sentiment Negation Recognition Languages ko-KR Dataset Structure Data Instances KB-BoolQ An example… See the full description on the dataset page: https://huggingface.co/datasets/skt/kobest_v1.
huggingnft/cryptopunks	huggingnft	Dataset Card Disclaimer All rights belong to their owners. Models and datasets can be removed from the site at the request of the copyright holder. Dataset Summary NFT images dataset for unconditional generation. NFT collection available here. Model is available here. Check Space: link. Supported Tasks and Leaderboards More Information Needed How to use How to load this dataset directly with the datasets library: from… See the full description on the dataset page: https://huggingface.co/datasets/huggingnft/cryptopunks.
vicenteor/sbu_captions	vicenteor	The SBU Captioned Photo Dataset is a collection of over 1 million images with associated text descriptions extracted from Flicker.
patriziobellan/PET	patriziobellan	Abstract. Although there is a long tradition of work in NLP on extracting entities and relations from text, to date there exists little work on the acquisition of business processes from unstructured data such as textual corpora of process descriptions. With this work we aim at filling this gap and establishing the first steps towards bridging data-driven information extraction methodologies from Natural Language Processing and the model-based formalization that is aimed from Business Process Management. For this, we develop the first corpus of business process descriptions annotated with activities, gateways, actors and flow information. We present our new resource, including a detailed overview of the annotation schema and guidelines, as well as a variety of baselines to benchmark the difficulty and challenges of business process extraction from text.
Divyanshu/indicxnli	Divyanshu	IndicXNLI is a translated version of XNLI to 11 Indic Languages. As with XNLI, the goal is to predict textual entailment (does sentence A imply/contradict/neither sentence B) and is a classification task (given two sentences, predict one of three labels).
KevinZ/oLMpics	KevinZ	This is a set a eight datasets from the paper "oLMpics - On what Language Model Pre-training Captures" by Alon Talmor et al.
stepp1/tweet_emotion_intensity	stepp1	Tweet Emotion Intensity Dataset Papers: Emotion Intensities in Tweets. Saif M. Mohammad and Felipe Bravo-Marquez. In Proceedings of the sixth joint conference on lexical and computational semantics (*Sem), August 2017, Vancouver, Canada. WASSA-2017 Shared Task on Emotion Intensity. Saif M. Mohammad and Felipe Bravo-Marquez. In Proceedings of the EMNLP 2017 Workshop on Computational Approaches to Subjectivity, Sentiment, and Social Media (WASSA), September 2017… See the full description on the dataset page: https://huggingface.co/datasets/stepp1/tweet_emotion_intensity.
bigscience-historical-texts/Open_Medieval_French	bigscience-historical-texts	Open Medieval French Source: https://github.com/OpenMedFr/texts
enoriega/GENIA-Term-Corpus	enoriega	GENIA Term corpus
ranjaykrishna/visual_genome	ranjaykrishna	Visual Genome enable to model objects and relationships between objects. They collect dense annotations of objects, attributes, and relationships within each image. Specifically, the dataset contains over 108K images where each image has an average of 35 objects, 26 attributes, and 21 pairwise relationships between objects.
aharley/rvl_cdip	aharley	The RVL-CDIP (Ryerson Vision Lab Complex Document Information Processing) dataset consists of 400,000 grayscale images in 16 classes, with 25,000 images per class. There are 320,000 training images, 40,000 validation images, and 40,000 test images.
blinoff/kinopoisk	blinoff	Dataset Summary Kinopoisk movie reviews dataset (TOP250 & BOTTOM100 rank lists). In total it contains 36,591 reviews from July 2004 to November 2012. With following distribution along the 3-point sentiment scale: Good: 27,264; Bad: 4,751; Neutral: 4,576. Data Fields Each sample contains the following fields: part: rank list top250 or bottom100; movie_name; review_id; author: review author; date: date of a review; title: review title; grade3: sentiment score… See the full description on the dataset page: https://huggingface.co/datasets/blinoff/kinopoisk.
google/wit	google	Wikipedia-based Image Text (WIT) Dataset is a large multimodal multilingual dataset. WIT is composed of a curated set of 37.6 million entity rich image-text examples with 11.5 million unique images across 108 Wikipedia languages. Its size enables WIT to be used as a pretraining dataset for multimodal machine learning models.
wikimedia/wit_base	wikimedia	Dataset Card for WIT Dataset Summary Wikimedia's version of the Wikipedia-based Image Text (WIT) Dataset, a large multimodal multilingual dataset. From the official blog post: The core training data is taken from the Wikipedia Image-Text (WIT) Dataset, a large curated set of more than 37 million image-text associations extracted from Wikipedia articles in 108 languages that was recently released by Google Research. The WIT dataset offers extremely valuable data… See the full description on the dataset page: https://huggingface.co/datasets/wikimedia/wit_base.
openlifescienceai/medmcqa	openlifescienceai	Dataset Card for MedMCQA Dataset Summary MedMCQA is a large-scale, Multiple-Choice Question Answering (MCQA) dataset designed to address real-world medical entrance exam questions. MedMCQA has more than 194k high-quality AIIMS & NEET PG entrance exam MCQs covering 2.4k healthcare topics and 21 medical subjects are collected with an average token length of 12.77 and high topical diversity. Each sample contains a question, correct answer(s), and other options which… See the full description on the dataset page: https://huggingface.co/datasets/openlifescienceai/medmcqa.
Fhrozen/FSD50k	Fhrozen	Freesound Dataset 50k (FSD50K) Important This data set is a copy from the original one located at Zenodo. Citation If you use the FSD50K dataset, or part of it, please cite our paper: Eduardo Fonseca, Xavier Favory, Jordi Pons, Frederic Font, Xavier Serra. "FSD50K: an Open Dataset of Human-Labeled Sound Events", arXiv 2020. Data curators Eduardo Fonseca, Xavier Favory, Jordi Pons, Mercedes Collado, Ceren Can, Rachit Gupta, Javier… See the full description on the dataset page: https://huggingface.co/datasets/Fhrozen/FSD50k.
HugoLaurencon/libri_light	HugoLaurencon	Libri-light is a large dataset of 60K hours of unlabelled speech from audiobooks in English. It is a benchmark for the training of automatic speech recognition (ASR) systems with limited or no supervision.
HuggingFaceM4/charades	HuggingFaceM4	Charades is dataset composed of 9848 videos of daily indoors activities collected through Amazon Mechanical Turk. 267 different users were presented with a sentence, that includes objects and actions from a fixed vocabulary, and they recorded a video acting out the sentence (like in a game of Charades). The dataset contains 66,500 temporal annotations for 157 action classes, 41,104 labels for 46 object classes, and 27,847 textual descriptions of the videos.
pere/italian_tweets_500k	pere	\\nItalian tweets.
LIUM/tedlium	LIUM	Dataset Card for tedlium Dataset Summary The TED-LIUM corpus is English-language TED talks, with transcriptions, sampled at 16kHz. The three releases of the corpus range from 118 to 452 hours of transcribed speech data. Example from datasets import load_dataset tedlium = load_dataset("LIUM/tedlium", "release1") # for Release 1 # see structure print(tedlium) # load audio sample on the fly audio_input = tedlium["train"][0]["audio"] # first decoded… See the full description on the dataset page: https://huggingface.co/datasets/LIUM/tedlium.
Team-PIXEL/rendered-wikipedia-english	Team-PIXEL	Dataset Card for Team-PIXEL/rendered-wikipedia-english Dataset Summary This dataset contains the full English Wikipedia from February 1, 2018, rendered into images of 16x8464 resolution. The original text dataset was built from a Wikipedia dump. Each example in the original text dataset contained the content of one full Wikipedia article with cleaning to strip markdown and unwanted sections (references, etc.). Each rendered example contains a subset of one full… See the full description on the dataset page: https://huggingface.co/datasets/Team-PIXEL/rendered-wikipedia-english.
mwritescode/slither-audited-smart-contracts	mwritescode	This dataset contains source code and deployed bytecode for Solidity Smart Contracts that have been verified on Etherscan.io, along with a classification of their vulnerabilities according to the Slither static analysis framework.
WorkInTheDark/FairytaleQA	WorkInTheDark	FairytaleQA dataset, an open-source dataset focusing on comprehension of narratives, targeting students from kindergarten to eighth grade. The FairytaleQA dataset is annotated by education experts based on an evidence-based theoretical framework. It consists of 10,580 explicit and implicit questions derived from 278 children-friendly stories, covering seven types of narrative elements or relations.
strombergnlp/nlpcc-stance	strombergnlp	This is a stance prediction dataset in Chinese. The data is that from a shared task, stance detection in Chinese microblogs, in NLPCC-ICCPOL 2016. It covers Task A, a mandatory supervised task which detects stance towards five targets of interest with given labeled data.
HuggingFaceM4/yttemporal180m	HuggingFaceM4	YT-Temporal-180M, a large and diverse dataset of 6 million videos (spanning 180M extracted frames) that covers diverse topics.

bigscience/P3

bigscience

Dataset Card for P3 Dataset Summary P3 (Public Pool of Prompts) is a collection of prompted English datasets covering a diverse set of NLP tasks. A prompt is the combination of an input template and a target template. The templates are functions mapping a data example into natural language for the input and target sequences. For example, in the case of an NLI dataset, the data example would include fields for Premise, Hypothesis, Label. An input template would be… See the full description on the dataset page: https://huggingface.co/datasets/bigscience/P3.

castorini/afriberta-corpus

castorini

Corpus used for training AfriBERTa models

ccdv/arxiv-classification

ccdv

Arxiv Classification: a classification of Arxiv Papers (11 classes). This dataset is intended for long context classification (documents have all > 4k tokens). Copied from "Long Document Classification From Local Word Glimpses via Recurrent Attention Learning" @ARTICLE{8675939, author={He, Jun and Wang, Liqun and Liu, Liu and Feng, Jiao and Wu, Hao}, journal={IEEE Access}, title={Long Document Classification From Local Word Glimpses via Recurrent Attention Learning}, year={2019}… See the full description on the dataset page: https://huggingface.co/datasets/ccdv/arxiv-classification.

ccdv/arxiv-summarization

ccdv

Arxiv dataset for summarization Dataset for summarization of long documents.Adapted from this repo.Note that original data are pre-tokenized so this dataset returns " ".join(text) and add "\n" for paragraphs. This dataset is compatible with the run_summarization.py script from Transformers if you add this line to the summarization_name_mapping variable: "ccdv/arxiv-summarization": ("article", "abstract") Data Fields id: paper id article: a string containing the… See the full description on the dataset page: https://huggingface.co/datasets/ccdv/arxiv-summarization.

ccdv/govreport-summarization

ccdv

GovReport dataset for summarization Dataset for summarization of long documents.Adapted from this repo and this paperThis dataset is compatible with the run_summarization.py script from Transformers if you add this line to the summarization_name_mapping variable: "ccdv/govreport-summarization": ("report", "summary") Data Fields id: paper id report: a string containing the body of the report summary: a string containing the summary of the report Data… See the full description on the dataset page: https://huggingface.co/datasets/ccdv/govreport-summarization.

ccdv/pubmed-summarization

ccdv

PubMed dataset for summarization Dataset for summarization of long documents.Adapted from this repo.Note that original data are pre-tokenized so this dataset returns " ".join(text) and add "\n" for paragraphs. This dataset is compatible with the run_summarization.py script from Transformers if you add this line to the summarization_name_mapping variable: "ccdv/pubmed-summarization": ("article", "abstract") Data Fields id: paper id article: a string containing… See the full description on the dataset page: https://huggingface.co/datasets/ccdv/pubmed-summarization.

clips/mfaq

clips

We present the first multilingual FAQ dataset publicly available. We collected around 6M FAQ pairs from the web, in 21 different languages.

clips/mqa

clips

MQA is a multilingual corpus of questions and answers parsed from the Common Crawl. Questions are divided between Frequently Asked Questions (FAQ) pages and Community Question Answering (CQA) pages.

dynabench/dynasent

dynabench

Dynabench.DynaSent is a Sentiment Analysis dataset collected using a human-and-model-in-the-loop.

flax-sentence-embeddings/stackexchange_math_jsonl

flax-sentence-embeddings

This new dataset is designed to solve this great NLP task and is crafted with a lot of care.

gabtan99/pex-conversations

gabtan99

PinoyExchange (PEx) Conversations Dataset Summary PEx Conversations is a dataset composed of collected threads from PinoyExchange.com (Consisting of Tagalog, English, or Taglish responses). The corpus consists of 45K total scraped threads from 8 subforums. The data only consists of the user message which means any images, videos, links, or any embdedded html are not collected in the scraping process. All characters have been transliterated to its closest ASCII… See the full description on the dataset page: https://huggingface.co/datasets/gabtan99/pex-conversations.

gsarti/clean_mc4_it

gsarti

A thoroughly cleaned version of the Italian portion of the multilingual colossal, cleaned version of Common Crawl's web crawl corpus (mC4) by AllenAI. Based on Common Crawl dataset: "https://commoncrawl.org". This is the processed version of Google's mC4 dataset by AllenAI, with further cleaning detailed in the repository README file.

gsarti/flores_101

gsarti

One of the biggest challenges hindering progress in low-resource and multilingual machine translation is the lack of good evaluation benchmarks. Current evaluation benchmarks either lack good coverage of low-resource languages, consider only restricted domains, or are low quality because they are constructed using semi-automatic procedures. In this work, we introduce the FLORES evaluation benchmark, consisting of 3001 sentences extracted from English Wikipedia and covering a variety of different topics and domains. These sentences have been translated in 101 languages by professional translators through a carefully controlled process. The resulting dataset enables better assessment of model quality on the long tail of low-resource languages, including the evaluation of many-to-many multilingual translation systems, as all translations are multilingually aligned. By publicly releasing such a high-quality and high-coverage dataset, we hope to foster progress in the machine translation community and beyond.

huggingartists/kendrick-lamar

huggingartists

This dataset is designed to generate lyrics with HuggingArtists.

huggingartists/mf-doom

huggingartists

This dataset is designed to generate lyrics with HuggingArtists.

huggingartists/young-thug

huggingartists

This dataset is designed to generate lyrics with HuggingArtists.

iarfmoose/qa_evaluator

iarfmoose

This is the same dataset as the question_generator dataset but with the context removed and the question and answer in separate fields. This is intended to be used with the question_generator repo to train the qa_evaluator model which predicts whether a question and answer pair makes sense.

iarfmoose/question_generator

iarfmoose

This dataset is made up of data taken from SQuAD v2.0, RACE, CoQA, and MSMARCO. Some examples have been filtered out of the original datasets and others have been modified. There are two fields; question and text. The question field contains the question, and the text field contains both the answer and the context in the following format: "<answer> (answer text) <context> (context text)" The and are included as special tokens in the question generator's tokenizer. This dataset is intended to… See the full description on the dataset page: https://huggingface.co/datasets/iarfmoose/question_generator.

imvladikon/hebrew_speech_kan

imvladikon

Dataset Card for Dataset Name Dataset Summary Hebrew Dataset for ASR Supported Tasks and Leaderboards [More Information Needed] Languages [More Information Needed] Dataset Structure Data Instances {'audio': {'path': '/root/.cache/huggingface/datasets/downloads/extracted/8ce7402f6482c6053251d7f3000eec88668c994beb48b7ca7352e77ef810a0b6/train/e429593fede945c185897e378a5839f4198.wav', 'array':… See the full description on the dataset page: https://huggingface.co/datasets/imvladikon/hebrew_speech_kan.

jfrenz/legalglue

jfrenz

\ Legal General Language Understanding Evaluation (LegalGLUE) benchmark is a collection of datasets for evaluating model performance across a diverse set of legal NLP tasks

jgammack/SAE-door-abstracts

jgammack

SAE-door-abstracts This dataset includes ~1,550 texts of abstracts of technical papers and journal articles from the SAE Mobilus database that cover the topics of automotive or aerospace doors, noise, acoustics, and vibrations.

jglaser/binding_affinity

jglaser

A dataset to fine-tune language models on protein-ligand binding affinity prediction.

kiyoung2/aistage-mrc

kiyoung2

AI Stage MRC task Version Info v4.1.1 v3.2.3데이터 (train_dataset_aug)에 punctuation추가한 데이터셋, both train and validation train_aug_punctuation에 있음 v4.1.0의 오류 해결 v4.1.0 v3.2.2데이터(train_dataset_aug)에 punctuation추가한 데이터셋, both train and validation train_data_aug에 있음 answers 잘못 labeling된 데이터 v4.0.1 punctuation추가한 데이터셋, both train and validation answers type 정상 v4.0.0 punctuation추가한 데이터셋, only train answers… See the full description on the dataset page: https://huggingface.co/datasets/kiyoung2/aistage-mrc.

lara-martin/Scifi_TV_Shows

lara-martin

Dataset Card for Science Fiction TV Show Plots Corpus Dataset Description A collection of long-running (80+ episodes) science fiction TV show plot synopses, scraped from Fandom.com wikis. Collected Nov 2017. Each episode is considered a "story". Contains plot summaries from: Babylon 5 (https://babylon5.fandom.com/wiki/Main_Page) - 84 stories Doctor Who (https://tardis.fandom.com/wiki/Doctor_Who_Wiki) - 311 stories Doctor Who spin-offs - 95 stories Farscape… See the full description on the dataset page: https://huggingface.co/datasets/lara-martin/Scifi_TV_Shows.

lewtun/github-issues

lewtun

Dataset Card for GitHub Issues Dataset Summary GitHub Issues is a dataset consisting of GitHub issues and pull requests associated with the 🤗 Datasets repository. It is intended for educational purposes and can be used for semantic search or multilabel text classification. The contents of each GitHub issue are in English and concern the domain of datasets for NLP, computer vision, and beyond. Supported Tasks and Leaderboards For each of the tasks… See the full description on the dataset page: https://huggingface.co/datasets/lewtun/github-issues.

liweili/c4_200m

liweili

\ GEC Dataset Generated from C4

lukesjordan/worldbank-project-documents

lukesjordan

Dataset Card for World Bank Project Documents Dataset Summary This is a dataset of documents related to World Bank development projects in the period 1947-2020. The dataset includes the documents used to propose or describe projects when they are launched, and those in the review. The documents are indexed by the World Bank project ID, which can be used to obtain features from multiple publicly available tabular datasets. Supported Tasks and… See the full description on the dataset page: https://huggingface.co/datasets/lukesjordan/worldbank-project-documents.

luozhouyang/dureader

luozhouyang

dureader 数据来自千言DuReader数据集，这里是原始地址千言数据集：阅读理解。本数据集只用作学术研究使用。如果本仓库涉及侵权行为，会立即删除。目前包含以下两个子集： DuReader-robust DuReader-checklist from datasets import load_dataset robust = load_dataset("luozhouyang/dureader", "robust") checklist = load_dataset("luozhouyang/dureader", "checklist")

codeparrot/codeparrot-clean

codeparrot

CodeParrot 🦜 Dataset Cleaned What is it? A dataset of Python files from Github. This is the deduplicated version of the codeparrot. Processing The original dataset contains a lot of duplicated and noisy data. Therefore, the dataset was cleaned with the following steps: Deduplication Remove exact matches Filtering Average line length < 100 Maximum line length < 1000 Alpha numeric characters fraction > 0.25 Remove auto-generated files (keyword… See the full description on the dataset page: https://huggingface.co/datasets/codeparrot/codeparrot-clean.

ml6team/cnn_dailymail_nl

ml6team

This dataset is the CNN/Dailymail dataset translated to Dutch. This is the original dataset: ``` load_dataset("cnn_dailymail", '3.0.0') ``` And this is the HuggingFace translation pipeline: ``` pipeline( task='translation_en_to_nl', model='Helsinki-NLP/opus-mt-en-nl', tokenizer='Helsinki-NLP/opus-mt-en-nl') ```

ml6team/xsum_nl

ml6team

Dataset Card for XSum NL Dataset Summary This dataset is a machine translated dataset. It's the XSum dataset translated with this model from English to Dutch. See the Hugginface page of the original dataset for more information on the format of this dataset. Use with: from datasets import load_dataset load_dataset("csv", "ml6team/xsum_nl") Languages Dutch Dataset Structure Data Instances [More Information Needed]… See the full description on the dataset page: https://huggingface.co/datasets/ml6team/xsum_nl.

mostol/wiktionary-ipa

mostol

Pronunciation information pulled from wiktionary.org.

nateraw/fairface

nateraw

Dataset Card for FairFace Usage from io import BytesIO from PIL import Image import datasets def bytes_to_pil(example_batch): example_batch['img'] = [ Image.open(BytesIO(b)) for b in example_batch.pop('img_bytes') ] return example_batch ds = datasets.load_dataset('nateraw/fairface') ds = ds.with_transform(bytes_to_pil) Dataset Summary Existing public face datasets are strongly biased toward Caucasian faces, and other races… See the full description on the dataset page: https://huggingface.co/datasets/nateraw/fairface.

ncduy/mt-en-vi

ncduy

Dataset Card for Machine Translation Paired English-Vietnamese Sentences Dataset Summary [More Information Needed] Supported Tasks and Leaderboards [More Information Needed] Languages The language of the dataset text sentence is English ('en') and Vietnamese (vi). Dataset Structure Data Instances An instance example: { 'en': 'And what I think the world needs now is more connections.', 'vi': 'Và tôi… See the full description on the dataset page: https://huggingface.co/datasets/ncduy/mt-en-vi.

nferruz/UR50_2021_04

nferruz

Dataset Card for UR50_2021_04 Dataset Summary The Uniref50 (UR50) dataset version 2021/04 is a biological dataset taken from the Uniprot database: https://www.uniprot.org/ Supported Tasks and Leaderboards The UR50 dataset contains 48 Million protein sequences. It is a useful dataset to train protein language models. Languages Proteins Dataset Structure Data Instances Data Fields… See the full description on the dataset page: https://huggingface.co/datasets/nferruz/UR50_2021_04.

nthngdy/ccnews_split

nthngdy

CC-News containing news articles from news sites all over the world The data is available on AWS S3 in the Common Crawl bucket at /crawl-data/CC-NEWS/. This version of the dataset has 708241 articles. It represents a small portion of English language subset of the CC-News dataset created using news-please(Hamborg et al.,2017) to collect and extract English language portion of CC-News.

ought/raft

ought

Large pre-trained language models have shown promise for few-shot learning, completing text-based tasks given only a few task-specific examples. Will models soon solve classification tasks that have so far been reserved for human research assistants? [RAFT](https://raft.elicit.org) is a few-shot classification benchmark that tests language models: - across multiple domains (lit review, tweets, customer interaction, etc.) - on economically valuable classification tasks (someone inherently cares about the task) - in a setting that mirrors deployment (50 examples per task, info retrieval allowed, hidden test set)

pile-of-law/pile-of-law

pile-of-law

We curate a large corpus of legal and administrative data. The utility of this data is twofold: (1) to aggregate legal and administrative data sources that demonstrate different norms and legal standards for data filtering; (2) to collect a dataset that can be used in the future for pretraining legal-domain language models, a key direction in access-to-justice initiatives.

pmc/open_access

pmc

The PMC Open Access Subset includes more than 3.4 million journal articles and preprints that are made available under license terms that allow reuse. Not all articles in PMC are available for text mining and other reuse, many have copyright protection, however articles in the PMC Open Access Subset are made available under Creative Commons or similar licenses that generally allow more liberal redistribution and reuse than a traditional copyrighted work. The PMC Open Access Subset is one part of the PMC Article Datasets

qanastek/ELRC-Medical-V2

qanastek

ELRC-Medical-V2 : European parallel corpus for healthcare machine translation Dataset Summary ELRC-Medical-V2 is a parallel corpus for neural machine translation funded by the European Commission and coordinated by the German Research Center for Artificial Intelligence. Supported Tasks and Leaderboards translation: The dataset can be used to train a model for translation. Languages In our case, the corpora consists of a pair of… See the full description on the dataset page: https://huggingface.co/datasets/qanastek/ELRC-Medical-V2.

qanastek/EMEA-V3

qanastek

EMEA-V3 : European parallel translation corpus from the European Medicines Agency Dataset Summary EMEA-V3 is a parallel corpus for neural machine translation collected and aligned by Tiedemann, Jorg during the OPUS project. Supported Tasks and Leaderboards translation: The dataset can be used to train a model for translation. Languages In our case, the corpora consists of a pair of source and target sentences for all 22 different… See the full description on the dataset page: https://huggingface.co/datasets/qanastek/EMEA-V3.

qanastek/WMT-16-PubMed

qanastek

WMT'16 Biomedical Translation Task - PubMed parallel datasets http://www.statmt.org/wmt16/biomedical-translation-task.html

rahular/itihasa

rahular

A Sanskrit-English machine translation dataset.

sentence-transformers/embedding-training-data

sentence-transformers

Training Data for Text Embedding Models This repository contains raw datasets, all of which have also been formatted for easy training in the Embedding Model Datasets collection. We recommend looking there first. This repository contains training files to train text embedding models, e.g. using sentence-transformers. Data Format All files are in a jsonl.gz format: Each line contains a JSON-object that represent one training example. The JSON objects can come in… See the full description on the dataset page: https://huggingface.co/datasets/sentence-transformers/embedding-training-data.

sentence-transformers/reddit-title-body

sentence-transformers

Reddit (Title, Body)-Pairs This dataset contains jsonl-Files about (title, body) pairs from Reddit. Each line is a JSON object of the following format: {'title': 'The title of a thread', 'body': 'The longer body of the thread', 'subreddit': 'subreddit_name'} The 2021 file contains submissions up until including 2021-06. Entries in the respective files are shuffled on a monthly basis. The data has been filtered for: Remove threads with an upvote_ratio < 0.5 Only include threads… See the full description on the dataset page: https://huggingface.co/datasets/sentence-transformers/reddit-title-body.

shibing624/source_code

shibing624

纯文本数据，内容：高质量编程源代码，包括Python，Java，CPP源代码

solomonk/reddit_mental_health_posts

solomonk

Reddit posts about mental health files adhd.csv from r/adhd aspergers.csv from r/aspergers depression.csv from r/depression ocd.csv from r/ocd ptsd.csv from r/ptsd fields author body created_utc id num_comments score subreddit title upvote_ratio url for more details about theses fields Praw Submission.

stas/openwebtext-10k

stas

An open-source replication of the WebText dataset from OpenAI. This is a small subset representing the first 10K records from the original dataset - created for testing. The full 8M-record dataset is at https://huggingface.co/datasets/openwebtext

svakulenk0/qrecc

svakulenk0

Dataset Card for QReCC: Question Rewriting in Conversational Context Dataset Summary QReCC (Question Rewriting in Conversational Context) is an end-to-end open-domain question answering dataset comprising of 14K conversations with 81K question-answer pairs. The goal of this dataset is to provide a challenging benchmark for end-to-end conversational question answering that includes the individual subtasks of question rewriting, passage retrieval and reading… See the full description on the dataset page: https://huggingface.co/datasets/svakulenk0/qrecc.

tau/scrolls

tau

SCROLLS: Standardized CompaRison Over Long Language Sequences. A suite of natural language datasets that require reasoning over long texts. https://scrolls-benchmark.com/

tharindu/SOLID

tharindu

SOLID: A Large-Scale Semi-Supervised Dataset for Offensive Language Identification The widespread use of offensive content in social media has led to an abundance of research in detecting language such as hate speech, cyberbullying, and cyber-aggression. Recent work presented the OLID dataset, which follows a taxonomy for offensive language identification that provides meaningful information for understanding the type and the target of offensive messages. However, it is limited… See the full description on the dataset page: https://huggingface.co/datasets/tharindu/SOLID.

transformersbook/codeparrot

transformersbook

CodeParrot 🦜 Dataset What is it? This is the full CodeParrot dataset. It contains Python files used to train the code generation model in Chapter 10: Training Transformers from Scratch in the NLP with Transformers book. You can find the full code in the accompanying Github repository. Creation It was created with the GitHub dataset available via Google's BigQuery. It contains approximately 22 million Python files and is 180 GB (50 GB compressed)… See the full description on the dataset page: https://huggingface.co/datasets/transformersbook/codeparrot.

turingbench/TuringBench

turingbench

This benchmark environment contains a dataset comprised of generated texts from pre-trained language models. We also have two benchmark tasks - human vs. machine (i.e., binary classification) and authorship attribution (i.e., multi-class classification). These benchmark tasks and dataset are hosted on the TuringBench website with Leaderboards for each task.

ucberkeley-dlab/measuring-hate-speech

ucberkeley-dlab

Dataset card for Measuring Hate Speech This is a public release of the dataset described in Kennedy et al. (2020) and Sachdeva et al. (2022), consisting of 39,565 comments annotated by 7,912 annotators, for 135,556 combined rows. The primary outcome variable is the "hate speech score" but the 10 constituent ordinal labels (sentiment, (dis)respect, insult, humiliation, inferior status, violence, dehumanization, genocide, attack/defense, hate speech benchmark) can also be treated… See the full description on the dataset page: https://huggingface.co/datasets/ucberkeley-dlab/measuring-hate-speech.

unicamp-dl/mmarco

unicamp-dl

mMARCO translated datasets

wikimedia/wikisource

wikimedia

Dataset Card for Wikimedia Wikisource Dataset Summary Wikisource dataset containing cleaned articles of all languages. The dataset is built from the Wikisource dumps (https://dumps.wikimedia.org/) with one subset per language, each containing a single train split. Each example contains the content of one full Wikisource text with cleaning to strip markdown and unwanted sections (references, etc.). All language subsets have already been processed for recent dump… See the full description on the dataset page: https://huggingface.co/datasets/wikimedia/wikisource.

winvoker/turkish-sentiment-analysis-dataset

winvoker

Dataset This dataset contains positive , negative and notr sentences from several data sources given in the references. In the most sentiment models , there are only two labels; positive and negative. However , user input can be totally notr sentence. For such cases there were no data I could find. Therefore I created this dataset with 3 class. Positive and negative sentences are listed below. Notr examples are extraced from turkish wiki dump. In addition, added some random text… See the full description on the dataset page: https://huggingface.co/datasets/winvoker/turkish-sentiment-analysis-dataset.

z-uo/female-LJSpeech-italian

z-uo

Italian Male Voice This dataset is an Italian version of LJSpeech, that merge all female audio of the same speaker finded into M-AILABS Speech Dataset. This dataset contains 8h 23m of one speacker recorded at 16000Hz. This is a valid choiche to train an italian TTS deep model with female voice.

zhoujun/hitab

zhoujun

annotations_creators: crowdsourced language_creators: crowdsourced languages: en multilinguality: monolingual size_categories: 100K<n<1M source_datasets: original task_categories: tableqa, data2text task_ids: tableqa

huggan/anime-faces

huggan

Dataset Card for anime-faces Dataset Summary This is a dataset consisting of 21551 anime faces scraped from www.getchu.com, which are then cropped using the anime face detection algorithm in https://github.com/nagadomi/lbpcascade_animeface. All images are resized to 64 * 64 for the sake of convenience. Please also cite the two sources when using this dataset. Some outliers are still present in the dataset: Bad cropping results Some non-human faces. Feel free to… See the full description on the dataset page: https://huggingface.co/datasets/huggan/anime-faces.

nlpaueb/finer-139

nlpaueb

FiNER-139 is a named entity recognition dataset consisting of 10K annual and quarterly English reports (filings) of publicly traded companies downloaded from the U.S. Securities and Exchange Commission (SEC) annotated with 139 XBRL tags in the IOB2 format.

google/xtreme_s

google

XTREME-S covers four task families: speech recognition, classification, speech-to-text translation and retrieval. Covering 102 languages from 10+ language families, 3 different domains and 4 task families, XTREME-S aims to simplify multilingual speech representation evaluation, as well as catalyze research in “universal” speech representation learning.

McGill-NLP/feedbackQA

McGill-NLP

FeedbackQA is a retrieval-based QA dataset that contains interactive feedback from users. It has two parts: the first part contains a conventional RQA dataset, whilst this repo contains the second part, which contains feedback(ratings and natural language explanations) for QA pairs.

gigant/horse2zebra

gigant

Two unpaired sets of photos of respectively horses and zebras, designed for unpaired image-to-image translation, as seen in the paper introducing CycleGAN

ctheodoris/Genecorpus-30M

ctheodoris

Dataset Card for Genecorpus-30M Dataset Description Point of Contact: [email protected] Dataset Summary We assembled a large-scale pretraining corpus, Genecorpus-30M, comprised of ~30 million human single cell transcriptomes from a broad range of tissues from publicly available data. This corpus was used for pretraining Geneformer, a pretrained transformer model that enables context-aware predictions in settings with limited… See the full description on the dataset page: https://huggingface.co/datasets/ctheodoris/Genecorpus-30M.

SetFit/amazon_reviews_multi_ja

SetFit

#amazon reviews multi japanese This dataset is a port of the official ['amazon_reviews_multi' dataset] (https://huggingface.co/datasets/amazon_reviews_multi) on the Hub. It has just the Japanese language version. It has been reduced to just 3 columns (and 4th "label_text") that are relevant to the SetFit task.

Stanford/wikitablequestions

Stanford

This WikiTableQuestions dataset is a large-scale dataset for the task of question answering on semi-structured tables.

openclimatefix/uk_pv

openclimatefix

# UK PV dataset PV solar generation data from the UK. This dataset contains dataa from 1311 PV systems from 2018-01-01 to 2021-10-27. The time series of solar generation is in 5 minutes chunks. This data is from collected from live PV systems in the UK. We have obfuscated the location of the pv systems for privacy. If you are the owner of a PV system in the dataset, and do not want this data to be shared, please do get in contact with [email protected]. ## Files The dataset contains two files - metadata.csv: Data about the PV systems, e.g location - pv.netcdf: Time series of PV solar generation ### metadata.csv Metadata of the different PV systems. Note that there are extra PV systems in this metadata that do not appear in the pv timeseries data The csv columns are - ss_id: the id of the system - latitude_rounded: latitude of the pv system, but rounded to approximately the nearest km - longitude_rounded: latitude of the pv system, but rounded to approximately the nearest km - llsoacd: TODO - orientation: The orientation of the pv system - tilt: The tilt of the pv system - kwp: The capacity of the pv system - operational_at: the datetime the pv system started working ### pv.netcdf Time series data of pv solar generation data is in a [xarray](https://docs.xarray.dev/en/stable/) format. The data variables are the same as 'ss_id' in the metadata. Each data variable contains the solar generation (in kw) for that pv system. The ss_id's here are a subset of the all the ss_id's in the metadata The co-ordinates of the date are 'datetime' which is the datetime of the solar generation reading.

Monash-University/monash_tsf

Monash-University

Monash Time Series Forecasting Repository which contains 30+ datasets of related time series for global forecasting research. This repository includes both real-world and competition time series datasets covering varied domains.

emrecan/nli_tr_for_simcse

emrecan

NLI-TR for Supervised SimCSE This dataset is a modified version of NLI-TR dataset. Its intended use is to train Supervised SimCSE models for sentence-embeddings. Steps followed to produce this dataset are listed below: Merge train split of snli_tr and multinli_tr subsets. Find every premise that has an entailment hypothesis and a contradiction hypothesis. Write found triplets into sent0 (premise), sent1 (entailment hypothesis), hard_neg (contradiction hypothesis) format. See… See the full description on the dataset page: https://huggingface.co/datasets/emrecan/nli_tr_for_simcse.

huggan/few-shot-art-painting

huggan

Citation @article{DBLP:journals/corr/abs-2101-04775, author = {Bingchen Liu and Yizhe Zhu and Kunpeng Song and Ahmed Elgammal}, title = {Towards Faster and Stabilized {GAN} Training for High-fidelity Few-shot Image Synthesis}, journal = {CoRR}, volume = {abs/2101.04775}, year = {2021}, url = {https://arxiv.org/abs/2101.04775}, eprinttype = {arXiv}, eprint = {2101.04775}… See the full description on the dataset page: https://huggingface.co/datasets/huggan/few-shot-art-painting.

marksverdhei/wordnet-definitions-en-2021

marksverdhei

Wordnet definitions for English Dataset by Princeton WordNet and the Open English WordNet team https://github.com/globalwordnet/english-wordnet This dataset contains every entry in wordnet that has a definition and an example. Be aware that the word "null" can be misinterpreted as a null value if loading it in with e.g. pandas

somosnlp-hackathon-2022/spanish-to-quechua

somosnlp-hackathon-2022

Spanish to Quechua Dataset Description This dataset is a recopilation of webs and others datasets that shows in dataset creation section. This contains translations from spanish (es) to Qechua of Ayacucho (qu). Dataset Structure Data Fields es: The sentence in Spanish. qu: The sentence in Quechua of Ayacucho. Data Splits train: To train the model (102 747 sentences). Validation: To validate the model during training… See the full description on the dataset page: https://huggingface.co/datasets/somosnlp-hackathon-2022/spanish-to-quechua.

SocialGrep/the-reddit-dataset-dataset

SocialGrep

A meta dataset of Reddit's own /r/datasets community.

bible-nlp/biblenlp-corpus

bible-nlp

Dataset Card for BibleNLP Corpus Dataset Summary Partial and complete Bible translations in 833 languages, aligned by verse. Languages aai, aak, aau, aaz, abt, abx, aby, acf, acr, acu, adz, aer, aey, agd, agg, agm, agn, agr, agt, agu, aia, aii, aka, ake, alp, alq, als, aly, ame, amf, amk, amm, amn, amo, amp, amr, amu, amx, anh, anv, aoi, aoj, aom, aon, apb, ape, apn, apr, apu, apw, apz, arb, are, arl, arn, arp, asm, aso, ata, atb, atd, atg, att, auc… See the full description on the dataset page: https://huggingface.co/datasets/bible-nlp/biblenlp-corpus.

skt/kobest_v1

skt

Dataset Card for KoBEST Dataset Summary KoBEST is a Korean benchmark suite consists of 5 natural language understanding tasks that requires advanced knowledge in Korean. Supported Tasks and Leaderboards Boolean Question Answering, Choice of Plausible Alternatives, Words-in-Context, HellaSwag, Sentiment Negation Recognition Languages ko-KR Dataset Structure Data Instances KB-BoolQ An example… See the full description on the dataset page: https://huggingface.co/datasets/skt/kobest_v1.

huggingnft/cryptopunks

huggingnft

Dataset Card Disclaimer All rights belong to their owners. Models and datasets can be removed from the site at the request of the copyright holder. Dataset Summary NFT images dataset for unconditional generation. NFT collection available here. Model is available here. Check Space: link. Supported Tasks and Leaderboards More Information Needed How to use How to load this dataset directly with the datasets library: from… See the full description on the dataset page: https://huggingface.co/datasets/huggingnft/cryptopunks.

vicenteor/sbu_captions

vicenteor

The SBU Captioned Photo Dataset is a collection of over 1 million images with associated text descriptions extracted from Flicker.

patriziobellan/PET

patriziobellan

Abstract. Although there is a long tradition of work in NLP on extracting entities and relations from text, to date there exists little work on the acquisition of business processes from unstructured data such as textual corpora of process descriptions. With this work we aim at filling this gap and establishing the first steps towards bridging data-driven information extraction methodologies from Natural Language Processing and the model-based formalization that is aimed from Business Process Management. For this, we develop the first corpus of business process descriptions annotated with activities, gateways, actors and flow information. We present our new resource, including a detailed overview of the annotation schema and guidelines, as well as a variety of baselines to benchmark the difficulty and challenges of business process extraction from text.

Divyanshu/indicxnli

Divyanshu

IndicXNLI is a translated version of XNLI to 11 Indic Languages. As with XNLI, the goal is to predict textual entailment (does sentence A imply/contradict/neither sentence B) and is a classification task (given two sentences, predict one of three labels).

KevinZ/oLMpics

KevinZ

This is a set a eight datasets from the paper "oLMpics - On what Language Model Pre-training Captures" by Alon Talmor et al.

stepp1/tweet_emotion_intensity

stepp1

Tweet Emotion Intensity Dataset Papers: Emotion Intensities in Tweets. Saif M. Mohammad and Felipe Bravo-Marquez. In Proceedings of the sixth joint conference on lexical and computational semantics (*Sem), August 2017, Vancouver, Canada. WASSA-2017 Shared Task on Emotion Intensity. Saif M. Mohammad and Felipe Bravo-Marquez. In Proceedings of the EMNLP 2017 Workshop on Computational Approaches to Subjectivity, Sentiment, and Social Media (WASSA), September 2017… See the full description on the dataset page: https://huggingface.co/datasets/stepp1/tweet_emotion_intensity.

bigscience-historical-texts/Open_Medieval_French

bigscience-historical-texts

Open Medieval French Source: https://github.com/OpenMedFr/texts

enoriega/GENIA-Term-Corpus

enoriega

GENIA Term corpus

ranjaykrishna/visual_genome

ranjaykrishna

Visual Genome enable to model objects and relationships between objects. They collect dense annotations of objects, attributes, and relationships within each image. Specifically, the dataset contains over 108K images where each image has an average of 35 objects, 26 attributes, and 21 pairwise relationships between objects.

aharley/rvl_cdip

aharley

The RVL-CDIP (Ryerson Vision Lab Complex Document Information Processing) dataset consists of 400,000 grayscale images in 16 classes, with 25,000 images per class. There are 320,000 training images, 40,000 validation images, and 40,000 test images.

blinoff/kinopoisk

blinoff

Dataset Summary Kinopoisk movie reviews dataset (TOP250 & BOTTOM100 rank lists). In total it contains 36,591 reviews from July 2004 to November 2012. With following distribution along the 3-point sentiment scale: Good: 27,264; Bad: 4,751; Neutral: 4,576. Data Fields Each sample contains the following fields: part: rank list top250 or bottom100; movie_name; review_id; author: review author; date: date of a review; title: review title; grade3: sentiment score… See the full description on the dataset page: https://huggingface.co/datasets/blinoff/kinopoisk.

google/wit

google

Wikipedia-based Image Text (WIT) Dataset is a large multimodal multilingual dataset. WIT is composed of a curated set of 37.6 million entity rich image-text examples with 11.5 million unique images across 108 Wikipedia languages. Its size enables WIT to be used as a pretraining dataset for multimodal machine learning models.

wikimedia/wit_base

wikimedia

Dataset Card for WIT Dataset Summary Wikimedia's version of the Wikipedia-based Image Text (WIT) Dataset, a large multimodal multilingual dataset. From the official blog post: The core training data is taken from the Wikipedia Image-Text (WIT) Dataset, a large curated set of more than 37 million image-text associations extracted from Wikipedia articles in 108 languages that was recently released by Google Research. The WIT dataset offers extremely valuable data… See the full description on the dataset page: https://huggingface.co/datasets/wikimedia/wit_base.

openlifescienceai/medmcqa

openlifescienceai

Dataset Card for MedMCQA Dataset Summary MedMCQA is a large-scale, Multiple-Choice Question Answering (MCQA) dataset designed to address real-world medical entrance exam questions. MedMCQA has more than 194k high-quality AIIMS & NEET PG entrance exam MCQs covering 2.4k healthcare topics and 21 medical subjects are collected with an average token length of 12.77 and high topical diversity. Each sample contains a question, correct answer(s), and other options which… See the full description on the dataset page: https://huggingface.co/datasets/openlifescienceai/medmcqa.

Fhrozen/FSD50k

Fhrozen

Freesound Dataset 50k (FSD50K) Important This data set is a copy from the original one located at Zenodo. Citation If you use the FSD50K dataset, or part of it, please cite our paper: Eduardo Fonseca, Xavier Favory, Jordi Pons, Frederic Font, Xavier Serra. "FSD50K: an Open Dataset of Human-Labeled Sound Events", arXiv 2020. Data curators Eduardo Fonseca, Xavier Favory, Jordi Pons, Mercedes Collado, Ceren Can, Rachit Gupta, Javier… See the full description on the dataset page: https://huggingface.co/datasets/Fhrozen/FSD50k.

HugoLaurencon/libri_light

HugoLaurencon

Libri-light is a large dataset of 60K hours of unlabelled speech from audiobooks in English. It is a benchmark for the training of automatic speech recognition (ASR) systems with limited or no supervision.

HuggingFaceM4/charades

HuggingFaceM4

Charades is dataset composed of 9848 videos of daily indoors activities collected through Amazon Mechanical Turk. 267 different users were presented with a sentence, that includes objects and actions from a fixed vocabulary, and they recorded a video acting out the sentence (like in a game of Charades). The dataset contains 66,500 temporal annotations for 157 action classes, 41,104 labels for 46 object classes, and 27,847 textual descriptions of the videos.

pere/italian_tweets_500k

pere

\\nItalian tweets.

LIUM/tedlium

LIUM

Dataset Card for tedlium Dataset Summary The TED-LIUM corpus is English-language TED talks, with transcriptions, sampled at 16kHz. The three releases of the corpus range from 118 to 452 hours of transcribed speech data. Example from datasets import load_dataset tedlium = load_dataset("LIUM/tedlium", "release1") # for Release 1 # see structure print(tedlium) # load audio sample on the fly audio_input = tedlium["train"][0]["audio"] # first decoded… See the full description on the dataset page: https://huggingface.co/datasets/LIUM/tedlium.

Team-PIXEL/rendered-wikipedia-english

Team-PIXEL

Dataset Card for Team-PIXEL/rendered-wikipedia-english Dataset Summary This dataset contains the full English Wikipedia from February 1, 2018, rendered into images of 16x8464 resolution. The original text dataset was built from a Wikipedia dump. Each example in the original text dataset contained the content of one full Wikipedia article with cleaning to strip markdown and unwanted sections (references, etc.). Each rendered example contains a subset of one full… See the full description on the dataset page: https://huggingface.co/datasets/Team-PIXEL/rendered-wikipedia-english.

mwritescode/slither-audited-smart-contracts

mwritescode

This dataset contains source code and deployed bytecode for Solidity Smart Contracts that have been verified on Etherscan.io, along with a classification of their vulnerabilities according to the Slither static analysis framework.

WorkInTheDark/FairytaleQA

WorkInTheDark

FairytaleQA dataset, an open-source dataset focusing on comprehension of narratives, targeting students from kindergarten to eighth grade. The FairytaleQA dataset is annotated by education experts based on an evidence-based theoretical framework. It consists of 10,580 explicit and implicit questions derived from 278 children-friendly stories, covering seven types of narrative elements or relations.

strombergnlp/nlpcc-stance

strombergnlp

This is a stance prediction dataset in Chinese. The data is that from a shared task, stance detection in Chinese microblogs, in NLPCC-ICCPOL 2016. It covers Task A, a mandatory supervised task which detects stance towards five targets of interest with given labeled data.

HuggingFaceM4/yttemporal180m

HuggingFaceM4

YT-Temporal-180M, a large and diverse dataset of 6 million videos (spanning 180M extracted frames) that covers diverse topics.