lil-lab/newsroom
NEWSROOM is a large dataset for training and evaluating summarization systems. It contains 1.3 million articles and summaries written by authors and editors in the newsrooms of 38 major publications. Dataset features includes: - text: Input news text. - summary: Summary for the news. And additional features: - title: news title. - url: url of the news. - date: date of the article. - density: extractive density. - coverage: extractive coverage. - compression: compression ratio. - density_bin: low, medium, high. - coverage_bin: extractive, abstractive. - compression_bin: low, medium, high. This
| Author / organization | lil-lab |
|---|---|
| License (as declared) | other |
| Downloads | 192 (as reported by Hugging Face) |
| Likes | 18 |
| Created | 2 March 2022 |
| Last updated at source | 18 January 2024 |
Popularity, last 3 days
192 now (+3 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
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