Dataset · Hugging Face
webis/tldr-17
This 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.
| Author / organization | webis |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 1.2K (as reported by Hugging Face) |
| Likes | 58 |
| Created | 2 March 2022 |
| Last updated at source | 5 June 2023 |
Popularity, last 2 days
1,237 now (+24 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- ogmatrixllm/glyph-v1.1Model · used to train
- mradermacher/Pythia-2.8B-TLDR-Iterative-SamPO-i1-GGUFModel · used to train
- mradermacher/Pythia-2.8B-TLDR-Iterative-SamPO-GGUFModel · used to train
More from webis
- webis/args_meDataset
- webis/conclugenDataset
- webis/ms-marco-anchor-textDataset
- webis/rank-distillmDataset
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