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News corpora, social media analysis, movie/music metadata, sports data, cultural datasets, misinformation
11,271 datasets
English-language user reviews categorized into classification labels for the 'user-review-classification' project. The data is automatically processed and adheres to the BCP-47 'en' language standard.
Packed with Sinhala news headlines extracted from nine Sri Lankan news sources, including Sri Lanka Army, Dinamina, and Hiru. It is a processed version of a corpus created for multilingual embedding research, with single-word sentences and invalid characters removed. The row count, column count, and total size are unknown.
A corpus of Russian news articles collected from the Lenta.Ru news website. The dataset was created by author yutkin and last updated in November 2022. The specific size, row count, and temporal coverage are not detailed in the provided metadata.
A collection of a series of Reddit stories and surrounding conversations annotated for stance and veracity. It is sourced from the ACL anthology and was last updated in October 2022. The dataset size is categorized as between 1,000 and 10,000 entries.
Customer reviews of Amazon products, categorized by star ratings. The dataset consists of several thousand reviews in English, German, and French. It is based on the amazon_reviews_multi dataset and was last updated on Hugging Face in October 2022.
Aggregating over 80 English news articles, each scored on 12 quality factors and assigned a single rank. The articles were manually annotated by Alex using a 12-factor score card. The data includes URL, title, and body text for each article.
A large collection of manually annotated English news articles categorized for target-dependent sentiment classification. It provides human-verified sentiment labels associated with specific targets mentioned within news text.
47,139 user reviews about restaurants. Each review is tagged with a general sentiment and three aspect-specific sentiments for food, interior, and service.
5 million Persian news articles collected from over 10 distinct news agencies spanning a 12-year period. The dataset, curated by Rohan AI Lab, provides a large-scale corpus for natural language processing tasks in the Persian language.
2,000,000 Persian news articles including headlines and summaries collected over a 10-year period. This dataset, provided by Rohan AI lab, serves as a large-scale text corpus for research in Persian natural language processing.
Sinhala news articles used for research on corpus-based similarity measures and clustering. It was created by NLPC-UOM for a 2018 academic paper and was last updated on the platform in October 2022.
Over 100 English-language news article URLs, each manually scored on 12 different factors and assigned a single overall score. The data was manually scraped and annotated by an individual named Alex.
Aggregating Russian-language comments on news articles, annotated with the comment's stance towards the article. It is designed for stance detection and text classification tasks. The dataset was created by strombergnlp and last updated in October 2022.
12,000 news articles from iLur.am categorized into seven classes: sport, politics, weather, economy, accidents, art, and society. The corpus is divided into a training set of 2,242,000 tokens and a test set of 425,000 tokens.
A collection of NBA game statistics paired with human-written summaries for data-to-text generation. It aligns structured box score data with narrative descriptions of professional basketball games.
Community labels for large-scale networks are generated by this 2022 implementation of the Raghavan et al. algorithm by Benedek Rozemberczki. The resource provides a near-linear time framework for unsupervised graph clustering within the NetworkX ecosystem.
Serving as designed for text classification tasks and contains monolingual English text. It is categorized as having between 100,000 and 1 million entries and was last updated in November 2022.
Geospatial data on major sport venues usage, sourced from the Homeland Infrastructure Foundation-Level Data (HIFLD) program. The dataset is provided by the U.S. Department of Homeland Security and was last updated in November 2022.
Geospatial data on major sport venues compiled by the Department of Homeland Security. The dataset was last updated in November 2022. Specific details on row count, column features, and geographic scope are not provided in the input.
Loaded with 1,000 manually segmented hashtags, split into 500 for development and 500 for testing. The hashtags were selected from tweets about movies, TV shows, popular people, and sports teams. It was created by author 'ruanchaves' and last updated in October 2022.