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News corpora, social media analysis, movie/music metadata, sports data, cultural datasets, misinformation
11,263 datasets
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.
Twitter Indonesia Sarcastic is a dataset for sarcasm detection in the Indonesian language, introduced by Khotijah et al. in 2020. The dataset contains Indonesian tweets labeled as either sarcastic or non-sarcastic. Author w11wo performed cleaning procedures including sentence order re-reversal, deduplication, and PII masking before uploading it to Hugging Face in December 2023.
200,000 labeled Korean-language movie reviews categorized into binary sentiment classes. The dataset follows the methodology of the Maas et al. (2011) Large Movie Review Dataset to provide a standardized benchmark for Korean sentiment analysis.
1,200 Urdu news documents categorized into three levels of manual text reuse annotation: wholly derived, partially derived, and non-derived. The collection focuses on real-world journalistic content to facilitate research in text derivation and plagiarism detection in the Urdu language.
1,800 movie reviews annotated with human-extracted rationales for sentiment classification. Each entry pairs a review document with specific text spans that justify the assigned positive or negative label.
Reddit Stoicism Qa 610 is a dataset uploaded to HuggingFace by Manel. The title suggests it contains 610 question-and-answer pairs related to Stoic philosophy, likely sourced from Reddit discussions. The dataset was last updated on February 7, 2024.
Seven categories of Yoruba news headlines sourced from BBC Yoruba, covering topics such as Africa, Nigeria, and world news. The dataset provides labeled text data specifically for low-resource African language processing as featured in EMNLP 2020 research on multilingual transformer models.
3,000 balanced sentences written in Tunisian Arabizi, a script combining Latin characters and numerals. The data is preprocessed and labeled with binary sentiment classes across various social media topics.
Locations of New York City Museums compiled by the City of New York. The dataset was last updated in February 2024 and is available in multiple formats including XML, CSV, RDF, and JSON.
The State Historical and Cultural Reserve 'The Field of Poltava Battle' in Ukraine provides a list of its open data sets. This collection covers the years 2020, 2021, and 2022, and is available in Excel XLSX format. The dataset was last updated on the eu_open_data platform on January 4, 2024.
5 categories of Telugu news articles sourced from the Andhra Jyoti daily newspaper, including business, editorial, entertainment, nation, and sport. The dataset provides raw text content paired with topic labels for supervised learning tasks.
Multiple years of Japanese public holiday records categorized by date and official name. The data provides localized calendar information based on the 'Act on National Holidays' to support regional scheduling and compliance.
2 text classification datasets containing news articles in Kinyarwanda and Kirundi. The collection provides labeled examples for training models on low-resource African languages across various news categories.
This dataset aggregates fact-checked claims from global news media organizations as indexed by Data Commons. It provides structured metadata including the original claim text, the entity making the claim, and the truthfulness rating assigned by professional fact-checkers.
Flood hazard map for the urban area of Trier, Germany, depicting pressure water areas during a flood event at a specific water level of 12.20 meters. The map is an excerpt from the local flood protection concept for Trier, developed by intersecting calculated maximum water levels with a digital terrain model. The dataset was last updated on 2023-11-28 and originates from the Bundesamt für Kartographie und Geodäsie.
Annotated news comments categorized for hate speech detection in Portuguese. The collection captures user-generated text from the Brazilian web to identify offensive language within a specific cultural context.
100,000 templated questions and answers covering 75,000 movie-related entities derived from the Open Movie Database (OMDb). The dataset provides a structured knowledge base for question answering tasks within the film domain.
Comprising Turkish-language movie reviews paired with numerical sentiment scores ranging from 0 to 5. The collection provides text-based feedback and corresponding ratings for cinematic content sourced from Kaggle.