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Webis-TLDR-17 Corpus
- metatext.io
jsonUpdated Jul 16, 2026
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EmailClick to copy linkLink copiedCiteVolske et al. (2026). Webis-TLDR-17 Corpus [Dataset]. https://metatext.io/datasets/webis-tldr-17-corpusjsonAvailable download formatsDataset updatedJul 16, 2026Dataset authored and provided byVolske et al.Variables measuredSummarizationDescriptionDataset contains 3 Million pairs of content and self-written summaries mined from Reddit. It is one of the first large-scale summarization dataset from the social media domain.
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tldr-17
- huggingface.co
Updated Jun 5, 2023ShareFacebookTwitterEmailClick to copy linkLink copiedCiteWebis Group (2023). tldr-17 [Dataset]. https://huggingface.co/datasets/webis/tldr-17CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.Dataset updatedJun 5, 2023Dataset authored and provided byWebis GroupLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionThis corpus contains preprocessed posts from the Reddit dataset. The dataset consists of 3,848,330 posts with an average length of 270 words for content, and 28 words for the summary.
Features includes strings: author, body, normalizedBody, content, summary, subreddit, subreddit_id. Content is used as document and summary is used as summary.
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FacebookTwitterEmailDataset contains 3 Million pairs of content and self-written summaries mined from Reddit. It is one of the first large-scale summarization dataset from the social media domain.