---
dataset_info:
- config_name: corpus
  features:
  - name: corpus-id
    dtype: string
  - name: image
    dtype: image
  - name: title
    dtype: string
  - name: text
    dtype: string
  - name: metadata
    dtype: string
  splits:
  - name: test
    num_bytes: 2297829106.0
    num_examples: 2000
  download_size: 2263072695
  dataset_size: 2297829106.0
- config_name: qrels
  features:
  - name: query-id
    dtype: string
  - name: corpus-id
    dtype: string
  - name: score
    dtype: int64
  splits:
  - name: test
    num_bytes: 7854
    num_examples: 198
  download_size: 3610
  dataset_size: 7854
- config_name: queries
  features:
  - name: query-id
    dtype: string
  - name: query
    dtype: string
  splits:
  - name: test
    num_bytes: 25451
    num_examples: 198
  download_size: 15582
  dataset_size: 25451
configs:
- config_name: corpus
  data_files:
  - split: test
    path: corpus/test-*
- config_name: qrels
  data_files:
  - split: test
    path: qrels/test-*
- config_name: queries
  data_files:
  - split: test
    path: queries/test-*
---

# KoViDoRe - FinOCR v1.0

This dataset is part of the **KoViDoRe Benchmark** for Korean visual document retrieval evaluation. Specifically, it is focused on **Financial and Logistics OCR documents** for text-to-image retrieval tasks.

## Dataset Summary

- **Domain:** Financial & logistics scanned documents (e.g., 보험 증권, 영수증, 운송장 등)
- **Task:** Visual document retrieval (text query → relevant page image)
- **Format:** BEIR-compatible (corpus, queries, qrels)

**Statistics:**
- Number of Documents (Pages): **2,000**
- Number of Queries: **198**
- Number of Relevance Judgments (qrels): **198**
- All text queries are in Korean.

## Dataset Structure

- **corpus**
  - `corpus-id`: Unique page ID
  - `image`: Document page image (PIL Image)
  - `title`: Short title or source doc
  - `text`: OCR recognized text
  - `metadata`: Additional information (JSON string)
- **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 visual retrieval systems on Korean financial/logistics documents.

**Note:**  
Due to licensing restrictions, **original images are not redistributed with this dataset.  
Please download the required image data directly from [AI Hub](https://www.aihub.or.kr/) (OCR 데이터: 금융 및 물류) and place them as instructed in the [KoVidore-benchmark GitHub](https://github.com/whybe-choi/KoVidore-benchmark) repository.**

## Acknowledgments

- Based on data licensed by [AI Hub](https://www.aihub.or.kr/aihubdata/data/view.do?currMenu=115&topMenu=100&dataSetSn=71301) (OCR 데이터: 금융 및 물류)