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News corpora, social media analysis, movie/music metadata, sports data, cultural datasets, misinformation
11,095 datasets
18 seasons of NBA team-level box score data covering every regular season and playoff game from 2006 to the present. The dataset tracks performance metrics across approximately 2,460 games per season for 30 professional basketball teams.
NOBLE is a prompt-only alignment engine inspired by Yin–Yang, Daoism, and a compressed Sephiroth map. The dataset likely contains text-based dilemmas and instructions designed to refuse harm without killing desire. The author is nowsika, and the dataset was last updated on December 29, 2025.
Aggregating movie ratings and titles in a structured format similar to MovieLens. It is designed for building and testing recommender systems in the entertainment domain.
Real-world performance data for 100 websites built with WordPress and WooCommerce. It enables comparative analysis of performance metrics between the two platforms.
MovieLens dataset modified for adversarial machine learning and robustness testing. The specific row count, column count, and data structure are unknown.
Replication data supports an evidence-logged verifiability audit comparing anchoring elements in AI-generated versus human-written news texts. The dataset includes a derived verification log in CSV format with evidence fields, scripts for reproducing reported statistics and figures, and a SHA256 manifest for integrity checks. It was authored by Zhilong Zhao and last updated in January 2026.
MŠMT press releases contain the full article text of official communications from the Czech Ministry of Education, Youth and Sports. The dataset covers releases from 2009 to the present. The original source is the ministry's official communications, aggregated on Kaggle.
A collection likely contains textual materials related to American Jewish cultural perspectives on the 'Holy Land'. The dataset is hosted on the paperswithcode platform, which aggregates academic and research datasets. The specific content, authorship, and temporal scope are not detailed in the available metadata.
8,500+ movies are included in this curated dataset. It likely contains ratings, popularity scores, and vote counts. The author, organization, and license are unknown.
Encompassing over 1,000,000 Reddit comments focused on global events including wars, elections, and international relations. Collected from the Reddit platform, the data spans the 2025–2026 period to capture public discourse on politics and economics.
Systematic review investigating evidence surrounding treatment outcomes for Multicentric Reticulohistiocytosis (MRH), a rare non-Langerhans cell histiocytosis. The review was authored by Abou Ali Waked, Jihad and last updated in January 2026. Row count, column count, and sample data are unavailable.
This dataset supports a visual content analysis of the Fridays for Future movement's Instagram posts, as used in the article 'Digital Activism and the Climate Crisis'. The data was authored by Onur Şen, Özlem Delal Abanoz, Betül Başer, and Enes Abanoz and is hosted by the Harvard Dataverse. Specific row counts, column details, and file formats are not provided in the input.
5 categories of entertainment data including movies, TV shows, cast, crew, and ratings updated daily. These records provide a current snapshot of the global film and television industry through 2025.
Startup Funding Trends Dataset provides a cleaned collection of startup funding news. It contains extracted funding insights for analysis, though the specific row and column counts are not provided.
Archived website links and coder comparison data support the analysis of manipulative narratives. The dataset includes materials for coding frames and an inter-coder reliability test, as detailed in the paper's appendices. It was created by author Timo Lenk and last updated in January 2026.
Encompassing the data and code used to generate figures and regressions for the IMF Economic Review article 'From Fiscal Deadlock to Financial Repression: Anatomy of a Fall' by Olivier Jeanne. It supports the replication of the study's quantitative analysis.
Neuroinflammation Biomarkers Depression 2020-2024 is a dataset from Kaggle. Its specific content, such as the number of records or measured biomarkers, is not detailed in the available metadata. The title suggests it contains data related to biological markers of neuroinflammation in the context of depression, collected or published between 2020 and 2024.
Kaggle dataset titled 'review-chekpoints--2026-03-25--13207-13207'. The title suggests it contains information related to checkpoints, likely for reviewing or evaluating machine learning models. The dataset was published on the Kaggle platform on March 25, 2026.
A benchmark dataset for misinformation detection containing 22,000 short-text entries. The dataset includes emotion labels and semantic metadata, likely for training and evaluating classification models. The author, organization, and last update date are unknown.
A text corpus sourced from Reddit, curated by PortalPal-AI for machine learning purposes. The dataset is categorized as containing over 1,000 entries and was last updated in February 2026. It is optimized for NLP tasks and originates from US-based discussions.