SEALQA
- Type
- dataset
- Venue
- vtllms
- Year
- 2026
- Source
- huggingface
- Access
- free
- Added
- 2026-07-17T19:58:06.916074+00:00
- Verified
- 2026-07-17T19:58:06.916074+00:00
Summary
SealQA is a new challenge benchmark for evaluating SEarch- Augmented Language models on fact-seeking questions where web search yields conflicting, noisy, or unhelpful results.
Keywords
hf-dataset qa parquet text datasets pandas polars mlcroissant has-paper
Topics
QA
Research notes
- downloads=4449; likes=33