Sign inGet started
Dataset · Hugging Face

walzen/gigaword

Gigaword (Repackaged) Putting it here for better accessibility. Description Headline-generation on a corpus of article pairs from Gigaword consisting of around 4 million articles. Use the 'org_data' provided by https://github.com/microsoft/unilm/ which is identical to https://github.com/harvardnlp/sent-summary but with better format. There are two features: document: article. summary: headline. Homepage: https://github.com/harvardnlp/sent-summary Original… See the full description on the dataset page: https://huggingface.co/datasets/walzen/gigaword.

Author / organizationwalzen
License (as declared)apache-2.0
Downloads167 (as reported by Hugging Face)
Likes0
Created16 January 2026
Last updated at source16 January 2026
Embed this entry
<iframe src="https://silytics.si/embed/item/934f388b-4d60-4104-a404-1c381ec2329a" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 2 days

167 now (-3 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

Recent changes

  • 17 Oct 2026 Description: Gigaword (Repackaged) Putting it here for better accessibility. Description Headline-generation on a corpus of article pairs from Gigaword consisting of around 4 million articles. Use the 'org_data' provided by https://github.com/microsoft/ → Gigaword (Repackaged) Putting it here for better accessibility. Description Headline-generation on a corpus of article pairs from Gigaword consisting of around 4 million articles. Use the 'org_data' provided by https://github.com/microsoft/

Changes detected by Silytics between refreshes of the source.

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.