vtllms/sealqa
SealQA 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. Next update: Oct 29 2026 You can find older versions at this link Load dataset from datasets import load_dataset seal_0 = load_dataset("vtllms/sealqa", name="seal_0", split="test") seal_hard = load_dataset("vtllms/sealqa", name="seal_hard", split="test") longseal =… See the full description on the dataset page: https://huggingface.co/datasets/vtllms/sealqa.
| Author / organization | vtllms |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 2.9K (as reported by Hugging Face) |
| Likes | 34 |
| Created | 22 May 2025 |
| Last updated at source | 21 September 2026 |
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