dell-research-harvard/headlines-semantic-similarity
Dataset Card for HEADLINES Dataset Summary HEADLINES is a massive English-language semantic similarity dataset, containing 396,001,930 pairs of different headlines for the same newspaper article, taken from historical U.S. newspapers, covering the period 1920-1989. Languages The text in the dataset is in English. Dataset Structure Each year in the dataset is divided into a distinct file (eg. 1952_headlines.json), giving a total of… See the full description on the dataset page: https://huggingface.co/datasets/dell-research-harvard/headlines-semantic-similarity.
| Author / organization | dell-research-harvard |
|---|---|
| License (as declared) | cc-by-2.0 |
| Downloads | 742 (as reported by Hugging Face) |
| Likes | 12 |
| Created | 7 June 2023 |
| Last updated at source | 7 June 2024 |
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- davanstrien/headline-similarityModel · used to train
Recent changes
- 16 Oct 2026 Description: Dataset Card for HEADLINES Dataset Summary HEADLINES is a massive English-language semantic similarity dataset, containing 396,001,930 pairs of different headlines for the same newspaper article, taken from historical U.S. newspapers, cover → Dataset Card for HEADLINES Dataset Summary HEADLINES is a massive English-language semantic similarity dataset, containing 396,001,930 pairs of different headlines for the same newspaper article, taken from historical U.S. newspapers, cover
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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 Information may be incomplete or out of date.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.