OCR_Task_JA / README.md
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---
license: cc
language:
- ja
---
# Japanese_OCR
This dataset contains four collections of Japanese government and financial institution PDF documents, intended for OCR research, document layout parsing, and financial text extraction.
## ๐Ÿ“‚ Contents
| Folder | Description | Source Institution | Files | Size |
|------------------|-----------------------------------------------------------------------------|------------------------------------------|--------|--------|
| `FSA_Whitepaper` | Annual white papers published by the Financial Services Agency (้‡‘่žๅบ) | [FSA](https://www.fsa.go.jp/) | 331 | 1.5 GB |
| `BOJ_PDFs` | Research papers and discussion papers from the Bank of Japan (ๆ—ฅๆœฌ้Š€่กŒ) | [BOJ](https://www.boj.or.jp/) | 672 | 464 MB |
| `JPX_PDFs` | Monthly equity market reports from Japan Exchange Group (JPX) | [JPX](https://www.jpx.co.jp/) | 2246 | 450 MB |
| `SESC_Report` | Annual activity reports from the Securities and Exchange Surveillance Commission (SESC) | [FSA - SESC](https://www.fsa.go.jp/sesc/) | 140 | 577 MB |
Total size: ~3 GB
## ๐Ÿงพ Licensing and Usage
All documents in this dataset are publicly accessible from the official websites of Japanese financial and regulatory authorities. However:
- **JPX PDFs** included in this dataset are publicly available market reports from the official Japan Exchange Group website.
No content has been modified. This subset is provided **solely for academic, non-commercial OCR benchmarking**.
- **BOJ PDFs** are discussion and research papers published by the Bank of Japan, typically for academic and policy-oriented dissemination.
These are used here under the assumption of fair academic use and should be cited when referenced.
- **FSA Whitepapers** and **SESC Reports** are public information releases from Japanโ€™s Financial Services Agency.
These documents are intended for transparency and public policy communication and are considered public-access content under typical non-commercial usage.
## ๐Ÿ” Use Cases
This collection can be used for:
- Optical Character Recognition (OCR) benchmarking
- Document layout analysis (tables, headings, multi-column)
- Japanese financial terminology extraction
- Training document parsing models in multilingual or financial settings
## ๐Ÿท Tags
`OCR`, `Japanese`, `PDF`, `financial-documents`, `government-data`, `non-commercial`, `public-sector`