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Dataset · Hugging Face

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 / organizationvtllms
License (as declared)apache-2.0
Downloads2.9K (as reported by Hugging Face)
Likes34
Created22 May 2025
Last updated at source21 September 2026
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