whybe-choi/kovidore-mir-v1.0-beir

KoViDoRe - MIR v1.0

This dataset is part of the KoViDoRe Benchmark for Korean visual document retrieval evaluation. Specifically, it is focused on Multimodal Information Retrieval (MIR) tasks for Korean document images.

Dataset Summary

• Domain: Korean public/official document images (e.g., 보고서, 통계자료, 정책자료 등)
• Task: Multimodal Information Retrieval (text query → relevant document image)
• Format: BEIR-compatible (corpus, queries, qrels)

Statistics:

• Number of Documents (Pages): 1,370+
• Number of Queries: 1,500
• Number of Relevance Judgments (qrels): 1,500
• All text queries are in Korean.

Dataset Structure

• corpus
  • corpus-id: Unique page ID
  • image: Document page image (PIL Image)
  • publisher: Publisher/기관명 (e.g., 한국은행, 예산정책처 등)
• queries
  • query-id: Unique query ID
  • query: Korean text question
• qrels
  • query-id
  • corpus-id
  • score: (1 = relevant)

Usage

This dataset is intended for benchmarking the performance of multimodal retrieval systems on real-world Korean document images.

Note:
Due to licensing restrictions, original images are not redistributed with this dataset.
Please download the required image data directly from AI Hub (멀티모달 정보검색 데이터) and place them as instructed in the KoVidore-benchmark GitHub repository.

Acknowledgments

• Based on data provided by AI Hub (멀티모달 정보검색 데이터)

---