Dataset · Hugging Face

SamsungSDS-Research/SDS-KoPub-VDR-Benchmark

Name: SDS-KoPub-VDR-Benchmark
Creator: SamsungSDS-Research
License: cc-by-sa-4.0
Keywords: task_categories:visual-document-retrieval, language:ko, language:en, license:cc-by-sa-4.0, size_categories:10K<n<100K, format:parquet, modality:image, modality:text, library:datasets, library:pandas, library:mlcroissant, library:polars, arxiv:2511.04910, region:us, multimodal

📘 Dataset Summary SDS KoPub-VDR is a benchmark dataset for Visual Document Retrieval (VDR) in the context of Korean public documents. It contains real-world government document images paired with natural-language queries, corresponding answer pages, and ground-truth answers. The dataset is designed to evaluate AI models that go beyond simple text matching, requiring comprehensive understanding of visual layouts, tables, graphs, and images to accurately locate relevant… See the full description on the dataset page: https://huggingface.co/datasets/SamsungSDS-Research/SDS-KoPub-VDR-Benchmark.

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Author / organization	SamsungSDS-Research
License (as declared)	cc-by-sa-4.0
Downloads	344 (as reported by Hugging Face)
Likes	15
Created	29 October 2025
Last updated at source	11 November 2025

multimodalretrievalquestion-answeringpublic-domainvisual-document-retrievalrag

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