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News corpora, social media analysis, movie/music metadata, sports data, cultural datasets, misinformation
11,238 datasets
Featuring a sample of 110 people, with 2,100 images collected per subject. The images are structured across 14 camera angles, 5 light conditions, and 30 expressions.
Part of the Massive Text Embedding Benchmark (MTEB) for evaluating summarization models. It contains news article summaries annotated by humans for semantic similarity estimation. The dataset is monolingual in English and originates from the US region.
Paraphrase pairs of tweets created for the SemEval 2015 workshop, intended for evaluating text embedding models. It is part of the Massive Text Embedding Benchmark (MTEB) and is categorized for text-to-text tasks within social and written domains.
Europeana Newspapers contains approximately 32 billion tokens of historic newspaper text from multiple European languages, spanning the 18th to early 20th century. Created by the BigLAM initiative, this unofficial version extracts and processes text content from ALTO XML files sourced from Europeana. The dataset is intended for machine learning and digital humanities research.
County-level estimates detail the number of U.S. Veterans receiving VA Disability Compensation benefits at the end of fiscal year 2023. The dataset includes counts by service-connected disability rating, age group, and sex, with some data suppressed for privacy. It was prepared by the National Center for Veterans Analysis & Statistics using data from the Department of Veterans Affairs.
A geospatial dataset of historical wine press locations, likely part of the INSPIRE Protected Land Use (PLU) framework. It is published by the Bundesamt für Kartographie und Geodäsie and was last updated on May 20, 2025. The data is served via a Web Map Service (WMS) protocol.
This dataset aggregates news articles from major media outlets in the Democratic Republic of Congo, organized into thematic categories such as politics and economy. It provides a structured corpus designed for the automated collection and intelligent curation of regional news stories.
A dataset named 'Tiktokdress' was published on the Hugging Face platform by user nguyenquivinhquang on 2025-06-17. The dataset's title suggests it likely contains video content related to fashion or clothing from the social media platform TikTok. Metadata is minimal; actual content, scale, and structure require verification after download.
Facebook Dataset is a dataset uploaded by author vivekath0 to the Hugging Face platform. The dataset was last updated on June 12, 2025. Its specific content, size, and structure are not described in the available metadata.
Data from a study comparing traditional and genomic methods for detecting Salmonella Typhimurium cells in egg biofilms during early formation. The research examined biofilm growth on stainless steel, silicone, and nylon surfaces over five hours at 37°C. It was produced by USDA Agricultural Research Service scientists.
Underwater imagery and sensor data collected by the Norwegian University of Science and Technology Applied Robotics Lab. The dataset repository was migrated to Hugging Face on April 28, 2025, with new data from the Trondheim Fjord and a laboratory pool. The collection likely supports research in marine robotics and autonomous underwater vehicle perception.
Over 11 million Portuguese-language news articles curated from CommonCrawl News, spanning from 2016 to June 2024. The dataset has been cleaned, deduplicated, and language-filtered by author eduagarcia.
24,000 coding problems with verified test cases, released by agentica-org in 2025. The collection aggregates 7.5K TACO problems, 16K synthetic problems from PrimeIntellect, and 600 LiveCodeBench entries for training code generation models.
Encompassing a sample of 3D face images for anti-spoofing research, featuring 10 individuals. Data was collected using iPhone X and iPhone XR devices across indoor and outdoor scenes, with subjects ranging from juvenile to elderly age groups.
Aggregating Czech-language user comments from Facebook labeled for sentiment classification as part of the Massive Text Embedding Benchmark (MTEB). It focuses on the 't2c' task category across the reviews and written domains to test the efficacy of text embedding models in Slavic languages.
RealEdit is a large-scale dataset of authentic image edits collected from the Reddit communities r/PhotoshopRequest and r/estoration. The dataset is divided into train and test splits, and it was created by peter-sushko and last updated on April 24,我们发现了一个错误。
Sample of 4,458 3D facial expressions from people in indoor and outdoor scenes. It includes males and females, with an age distribution from juvenile to elderly, primarily young and middle-aged individuals, captured using iPhone X and iPhone XR devices.
Encompassing a sample of 327 German native speakers reading texts into mobile phones. The recordings cover economics, entertainment, news, and other topics, with each sentence averaging 10.3 words and being repeated 1.4 times on average. All audio has been manually transcribed.
Geulgyeol By is a text dataset uploaded by author 'geulgyeol' to the Hugging Face platform. The dataset was last updated on 2025-06-07. The title suggests it likely contains Korean language text, but detailed metadata such as column descriptions, sample data, and size are unavailable.
LiveBench is a benchmark for large language models (LLMs) designed with test set contamination and objective evaluation in mind. The dataset, created by 'livebench', includes questions based on recently-released datasets, arXiv papers, news articles, and IMDb movie synopses. It was last updated on 2025-04-07.