whybe-choi/ko-vdr-train-public-v1.0

This dataset is a training dataset for Korean Visual Document Retrieval. It includes 177,286 query-page pairs (85,568 unique queries) generated from 23 Korean government and public institution PDF documents using LLM-based (Solar Pro 3) synthetic query generation. Queries are generated from two sources: page-level summaries (79%) and direct page context (21%), covering 7 query types (compare-contrast, open-ended, enumerative, multi-hop, extractive, numerical, boolean) in instruction and… See the full description on the dataset page: https://huggingface.co/datasets/whybe-choi/ko-vdr-train-publi

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