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News corpora, social media analysis, movie/music metadata, sports data, cultural datasets, misinformation
11,261 datasets
200,000 French-language movie reviews from Allociné.fr categorized into 100,000 positive and 100,000 negative sentiment labels. The collection spans user reviews from 2006 to 2020 and is structured into training, validation, and test splits.
12,800 human-labeled short statements from politifact.com categorized into six truthfulness levels. Each record pairs a political statement with a professional editor's verdict and a detailed analysis report justifying the label.
Holding between 100,000 and 1,000,000 English business reviews extracted from the 2015 Yelp Dataset Challenge. Created by Yelp, the data pairs review text with sentiment labels to support research in text classification.
8,364 Arabic restaurant reviews from qaym.com labeled for binary sentiment analysis. Each entry includes the raw review text and a corresponding polarity label of 0 or 1.
100,000 news items categorized into four topics—economy, microsoft, obama, and palestine—collected over an eight-month period from November 2015 to July 2016. The data includes social feedback metrics from Facebook, Google+, and LinkedIn to support predictive modeling and sentiment analysis.
Filtered data from 14 subreddits including 'AskAcademia', 'askscience', 'explainlikeimfive', and 'changemyview', uploaded by user euclaise. The dataset was last updated on 2024-01-19 20:59:05. It likely contains question-and-answer style text from communities focused on academic, technical, and philosophical discussion.
11,588 Polish-language product reviews sourced from Allegro.pl categorized by sentiment ratings on a 1-to-5 scale. Each entry consists of a text review of at least 50 words and is organized into pre-defined train, development, and test splits.
A collection of over 100,000 textual descriptions of cultural items from the Italian national aggregator Cultura Italia. Each description is labeled as HIGH or LOW quality based on adherence to cataloging standards set by the Istituto Centrale per il Catalogo e la Documentazione (ICCD).
Comprising 10,000 manually annotated sentences in Czech, labeled as subjective or objective. The sentences are sourced from movie reviews and descriptions, as described in the associated research paper.
Haruhi-Zero's conversation training data for extending ChatHaruhi from few-shot to zero-shot. The dataset contains synthetic role-playing dialogues generated by interacting Chinese chatbots using various AI model combinations, including OpenAI, GLM, Claude, and Baichuan.
A collection of French news articles for text analysis. The dataset was created by user 'gustavecortal' and last updated in February 2024. The platform tags indicate it contains text data and is intended for language modeling tasks.
GPT-4-1106-preview API generated initial answers, which were then rewritten into a specific persona's speaking style. The dataset creator, Sao10K, states it was designed to teach a model a particular style of speech. It was last updated on January 4, 2024.
273,601 Turkish news articles categorized into 17 distinct classes, sourced from both print media and digital news websites. The collection spans an eight-year period from 2010 to 2017, provided by the Interpress media monitoring agency.
273,601 Turkish news articles categorized into 10 distinct classes sourced from print media and digital news websites between 2010 and 2017. The dataset was curated by Interpress media monitoring and specifically restructured for simplified classification tasks.
A text dataset curated from Reddit content, filtered to emphasize instruction-like or question-like posts using the Lilac tool. The dataset was created by user euclaise and was last updated on Hugging Face on February 1, 2024. Its specific size, row count, and license information are not provided.
Title lists for capital and current repair, construction, reconstruction and improvement of the Department of Culture and Tourism from the States site of Ukraine. The dataset was last updated on 2024-01-12. It is available in CSV format via the eu_open_data platform.
6,300 Kannada news headlines categorized into Entertainment, Tech, and Sports classes. The dataset is pre-split into training and testing sets to facilitate the benchmarking of text classification models in the Kannada language.
Roperi's Film Grab Downloader is a Python-based scraping suite updated in February 2024 for extracting movie galleries from film-grab.com. It facilitates the automated acquisition of cinematic screencaps for research and archival purposes.
1,309 labeled claims in Portuguese paired with professional fact-check classifications and source metadata. The data is sourced from fact-checking agencies via the ClaimReview schema to facilitate the study of misinformation in a non-English context.
Reddit Indonesia Sarcastic is a text dataset for sarcasm detection in the Indonesian language. It was created by author w11wo and last updated on December 21, 2023. The data consists of Reddit comments from the r/indonesia subreddit, collected from January 2020 to September 2023 and filtered for the presence of an /s tag.