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.