5CD-AI/Viet-Handwriting-OCR

Dataset Overview

This dataset consists of 23,403 Vietnamese 🇻🇳 handwritten text images collected and curated for Handwritten Text Recognition research and applications.

The original images were crawled from public internet sources. For each image, only one bounding box containing handwritten text was selected. All samples were then manually annotated by human labelers, ensuring both high diversity and high transcription accuracy. The dataset was filtered to remove personally identifiable information (PII) in compliance with Vietnamese data protection regulations.

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Dataset Structure

The dataset is released with two splits:

• Train: 22,403 samples
• Test: 1,000 samples

Examples

• Example 1
  

cô đã tạo ra nhiều hoạt động sân chơi cho các con,

• Example 2
  

Câu 2: Phát biểu quy luật phân li và phân li độc lập (4đ)

• Example 3
  

được chân thành cảm tạ các y, bác sĩ trong khoa, và đặc biệt

Citation

@misc{doan2024vintern1befficientmultimodallarge,
      title={Vintern-1B: An Efficient Multimodal Large Language Model for Vietnamese}, 
      author={Khang T. Doan and Bao G. Huynh and Dung T. Hoang and Thuc D. Pham and Nhat H. Pham and Quan T. M. Nguyen and Bang Q. Vo and Suong N. Hoang},
      year={2024},
      eprint={2408.12480},
      archivePrefix={arXiv},
      primaryClass={cs.LG},
      url={https://arxiv.org/abs/2408.12480}, 
}