ZonglinY/TOMATO-Star
TOMATO-Star: Decomposed Scientific Papers for Hypothesis Generation TOMATO-Star is a large-scale dataset of 108,717 decomposed biomedical papers from PubMed, designed for training and evaluating scientific hypothesis generation systems. Each paper is decomposed into structured components: research question, background survey, cross-paper inspirations (with matched source papers), and fine-grained hypothesis with per-inspiration breakdowns. Dataset Statistics… See the full description on the dataset page: https://huggingface.co/datasets/ZonglinY/TOMATO-Star.
| Author / organization | ZonglinY |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 142 (as reported by Hugging Face) |
| Likes | 2 |
| Created | 10 February 2026 |
| Last updated at source | 5 March 2026 |
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