qcri-ai/HCTQA
HCT-QA: Human-Centric Tables Question Answering HCT-QA is a benchmark dataset designed to evaluate large language models (LLMs) on question answering over complex, human-centric tables (HCTs). These tables often appear in documents such as research papers, reports, and webpages and present significant challenges for traditional table QA due to their non-standard layouts and compositional structure. The dataset includes: 2,188 real-world tables with 9,835 human-annotated QA… See the full description on the dataset page: https://huggingface.co/datasets/qcri-ai/HCTQA.
| Author / organization | qcri-ai |
|---|---|
| License (as declared) | mit |
| Downloads | 529 (as reported by Hugging Face) |
| Likes | 2 |
| Created | 8 May 2025 |
| Last updated at source | 22 January 2026 |
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