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---
dataset_info:
features:
- name: image
dtype: image
- name: text
dtype: string
splits:
- name: train
num_bytes: 441294141
num_examples: 22403
- name: test
num_bytes: 20676100
num_examples: 1000
download_size: 475468625
dataset_size: 461970241
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 **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 <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**: 22,403 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
```
## 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},
}
```