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News corpora, social media analysis, movie/music metadata, sports data, cultural datasets, misinformation
11,274 datasets
30,000 to 50,000 labeled English news articles categorized for text classification and fact-checking. The dataset consists of original monolingual content designed for supervised learning in the domain of misinformation detection.
States site of Ukraine provides a register of issued construction passports, published on the eu_open_data platform. The dataset was last updated on 2022-08-11 11:44:05.184292. The data is provided in an EXCEL XLSX format, but the number of records and specific columns are unknown.
A collection of extracts from historical Dutch newspapers annotated for potentially contentious words. It includes multiple annotations per instance, allowing for the quantification of annotation agreement scores. The data can be used to track semantic change over time.
1,000,000 Reddit posts and comments from the /r/jokes subreddit, each annotated with its community score. The collection includes unique base-36 identifiers and distinguishes between top-level submissions and replies via a type field.
1,000,000 Reddit posts and comments sourced from four confession-themed subreddits including /r/confessions and /r/offmychest. Each entry includes the text content, a unique base-36 identifier, and the community-assigned score.
Comprising Reddit comments and posts extracted from the /r/Ottawa megathreads regarding the 2022 trucker strike. Each entry includes the text content, an unique base-36 Reddit ID, and the community-assigned score for each interaction.
The UnpredicTable dataset consists of web tables formatted as few-shot tasks for fine-tuning language models. It was created by MicPie and last updated in August 2022.
Indonesian news content, likely focused on hoaxes or misinformation. The dataset was published on the Hugging Face platform by the author pauwdanny and was last updated on August 16, 2022. The specific volume, content details, and collection methodology are not provided in the available metadata.
Movie Posters is a collection of visual promotional materials for films. The dataset was created by Pinecone and last updated in August 2022. Its size is indicated as containing between 10,000 and 100,000 items, based on platform tags.
A text corpus derived from Reddit posts and comments, compiled by SophieTr. The dataset was last updated in August 2022 and is categorized as containing between 100,000 and 1 million entries.
News headlines published over an eighteen-year period, sourced from the Australian Broadcasting Corporation (ABC). Each data instance includes a publish date and a headline text string.
Featuring movie reviews mixed with hotel reviews to simulate context drift, intended for a tutorial. It includes added features such as age, gender, and context, with a made-up timestamp. The dataset size is categorized as between 10,000 and 100,000 rows.
Comprising COVID-19 vaccine-related material from Reddit and Twitter. It covers a time range from January 1, 2020, to March 1, 2022, tracing the evolution of discussions from the early pandemic. The data was collected by NoCaptain for a comparative study of the two platforms.
Presenting a binary sentiment classification resource for Urdu text, created by concatenating two existing datasets. It was authored by hassan4830 and last updated in July 2022.
Functioning as titled 'Slr' and was authored by 'sheikh'. It was last updated on August 5, 2022. No information is available regarding its contents, size, or structure.
Encompassing Reddit questions paired with their best answers, filtered by a minimum upvote score of 3, a minimum title length of 20 characters, and a minimum body length of 100 characters. It was created by author nreimers and last updated on July 13, 2022. The dataset includes text data for question bodies and answers, along with associated upvote scores.
The Broad Twitter Corpus is a dataset of tweets collected over stratified times, places, and social uses, annotated for named entities. It was created by strombergnlp to represent a broad range of activities and language on the platform.
10 university-specific subreddits containing all posts and comments based on the 2019 Forbes ranking of top American institutions. The data captures natural language interactions from students, faculty, and alumni within these elite academic digital communities.
Aggregating a collection of single-label modern Arabic texts from news websites and press articles. The data was gathered via web scraping from sources including Al-Arabiya, Al-Youm Al-Sabea (Youm7), and Google search results. The row count, column count, and specific features are unknown.
All The News 2 dataset component cluster labels, likely containing topic or thematic groupings for news articles. The dataset was created by author 'rjac' and last updated on the Hugging Face platform in July 2022. It is associated with the 'All The News 2' corpus, which is a large collection of US news articles.