README.md

---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 1248223184
    num_examples: 59247
  - name: test
    num_bytes: 20675975
    num_examples: 1000
  download_size: 1271129936
  dataset_size: 1268899159
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
task_categories:
- image-to-text
language:
- vi
tags:
- ocr
- text-recognition
- handwriting
- handwriting-recognition
- vietnamese
size_categories:
- 10K<n<100K
---


# Dataset Overview
From our experience, **OPEN-SOURCE DATASETS AND MODELS FROM THE GLOBAL COMMUNITY HAVE HELPED US GREATLY**. However, we also learned that **TO PUSH THE MODELS FURTHER, WE NEED MORE HIGH-QUALITY LOCAL DATA** to **DEVELOP STRONGER VIETNAMESE AI MODELS 💪**.


This dataset consists of **60,247** Vietnamese 🇻🇳 handwritten text images collected and curated for **Handwritten Text Recognition** research .

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 <span style="color:red"><b>manually annotated by human labelers</b></span>, ensuring both **high diversity** and **high transcription accuracy**. 

We are actively scaling to hundreds of thousands of **HUMAN-VERIFIED** samples using the same rigorous annotation process.


## Dataset Structure

The dataset is released with two splits:

- **Train**: 59,247 samples
- **Test**: 1,000 samples

## Examples


- Example 1
<div align="left">
<img src="https://cdn-uploads.huggingface.co/production/uploads/63be32f39a15a3e9419f23ba/2mhkdJejkGbMAMSnX8qNS.jpeg" width="800"/>
</div>
```
cô đã tạo ra nhiều hoạt động sân chơi cho các con,
```

- Example 2
<div align="left">
<img src="https://cdn-uploads.huggingface.co/production/uploads/63be32f39a15a3e9419f23ba/u5Oai9BEc6BP1w61SwT5S.jpeg" width="800"/>
</div>
```
Câu 2: Phát biểu quy luật phân li và phân li độc lập (4đ)
```


- Example 3
<div align="left">
<img src="https://cdn-uploads.huggingface.co/production/uploads/63be32f39a15a3e9419f23ba/hdR7OJAASbBD8DLmrJIKw.jpeg" width="800"/>
</div>
```
được chân thành cảm tạ các y, bác sĩ trong khoa, và đặc biệt 
```

- Example 4
<div align="left">
<img src="https://cdn-uploads.huggingface.co/production/uploads/6337f3e61718795719570051/zuznnd5I5hX-kBqfMHfOD.png" width="800"/>
</div>
```
Con cảm ơn bác sĩ Đức đã hỗ trợ tả thuốc Nụ cười cho các trường học.
```

- Example 5
<div align="left">
<img src="https://cdn-uploads.huggingface.co/production/uploads/6337f3e61718795719570051/tDEbp29IqdT-scVZgF4VE.png" width="800"/>
</div>
```
Ngày 1/5/1951 Khai mạc đại hội chiến sỹ thi đua và cán bộ
```


- Example 6
<div align="left">
<img src="https://cdn-uploads.huggingface.co/production/uploads/6337f3e61718795719570051/lrqyVh8ik-USlZDVUYGry.png" width="800"/>
</div>
```
- Đảm bảo tình hình ANTT, trong và ngoài khu vực
```


- Example 7
<div align="left">
<img src="https://cdn-uploads.huggingface.co/production/uploads/6337f3e61718795719570051/jI_rtKs53PAICeAGAEjr-.png" width="800"/>
</div>
```
Vì số tuổi theo thời gian mỗi năm tăng lên 1, mà năm
```


- Example 8
<div align="left">
<img src="https://cdn-uploads.huggingface.co/production/uploads/6337f3e61718795719570051/2vEuXSCP1LOaNGTWUNoCv.png" width="800"/>
</div>
```
Lặng thầm Thầy vẫn đưa đò qua sông
```


- Example 9
<div align="left">
<img src="https://cdn-uploads.huggingface.co/production/uploads/6337f3e61718795719570051/XazqLkkU39BztD1pl-Eeh.png" width="800"/>
</div>
```
C2: Xác định cấu tạo của câu "Đẹp vô cùng tổ Quốc
```


- Example 10
<div align="left">
<img src="https://cdn-uploads.huggingface.co/production/uploads/6337f3e61718795719570051/Z1U-3DlOQ3UEUKFhr8biJ.png" width="800"/>
</div>
```
- While được sử dụng để chỉ một khoảng thời gian dài trong quá khứ,
```

## Data Notes & Terms

This dataset is compiled from publicly available sources on the Internet and has undergone a rigorous processing workflow to ensure compliance with current legal standards (Decree No. 13/2023/ND-CP on Personal Data Protection in Vietnam and international Fair Use principles):

* **Data Anonymization:** All images have been cropped into individual lines or single sentences. We employ both automated filtering and manual review processes to guarantee that the dataset **does NOT contain any personally identifiable information (PII)** (such as names, phone numbers, addresses, citizen ID numbers, etc.). This data is considered anonymized and is used solely for academic purposes and Vietnamese OCR/AI technology research.
* **Non-Commercial Purpose:** The dataset is released for free under a non-commercial open-source license CC BY-NC 4.0 and is strictly committed to not being used for any profit-generating activities.
* **Takedown Policy:** Despite our best efforts to anonymize the data, if you (the owner of the handwriting or the original content) identify any image belonging to you that you do not wish to be publicly available, please contact us via email at: **huynhgiabaoa2@gmail.com** or **dtkhangbk@gmail.com**. We pledge to review, verify, and remove the relevant images from the dataset within **24 to 48 hours**.


## 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}, 
}
```