xasayi/FLAWS
FLAWS: Faults Localization Across Writing in Science FLAWS is a benchmark for evaluating error identification and localization in scientific papers. It currently consists of 713 paper–error examples, including: 265 unique papers with one error inserted using GPT-5 (in ALL_OPENAI.tar.gz) 448 unique papers with one error inserted using Gemini 2.5 Pro (in ALL_GEMINI.tar.gz) The dataset is generated using a systematic, autonomous framework that produces paper–error examples and… See the full description on the dataset page: https://huggingface.co/datasets/xasayi/FLAWS.
| Author / organization | xasayi |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 160 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 24 November 2025 |
| Last updated at source | 5 May 2026 |
Popularity, last 2 days
160 now (-2 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
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 Information may be incomplete or out of date.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.