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Catalog of datasets published on Hugging Face, including ownership, metadata, usage statistics, tags, descriptions, versions, and licensing or citation information, across 944,099 records.

Meta Kaggle: public metadata on competitions, users, submissions, code, datasets, models, forums, organizations, tags, and related activity.

The Gen-Z Social Media Usage Dataset is a large-scale, synthetic yet behaviorally realistic dataset designed to model how individuals aged 13–27 interact with social media platforms in the modern digital ecosystem. The data is generated using statistically grounded distributions and incorporates realistic correlations between variables such as screen time, platform preference, and mental well-being. It is intended for research, machine learning modeling, behavioral analysis, and educational purposes.

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1.6 Million Tweets for Real-World Sentiment Analysis

This dataset contains detailed football data including players, clubs, matches, competitions, appearances, and performance statistics sourced from Transfermarkt.

Comprehensive video game dataset with ratings, genres, platforms, popularity, and game metadata.

This dataset provides a large-scale collection of English words along with part-of-speech tagging, making it a valuable resource for natural language processing tasks.Word corpora form the foundation of many NLP applications, as they enable models to understand language structure, grammar, and context. The inclusion of part-of-speech tags further enhances its usability by providing grammatical classification for each word.

This dataset provides detailed information about electric vehicles (EVs) registered in the state of Washington, USA. It includes data on vehicle types, manufacturers, model specifications, electric range, and geographic distribution across counties and cities.