---
dataset_info:
  features:
  - name: Id
    dtype: string
  - name: image
    dtype: image
  - name: Task
    dtype: string
  - name: question
    dtype: string
  - name: answer
    dtype: string
  - name: category
    dtype: string
  splits:
  - name: test
    num_bytes: 1918653929
    num_examples: 2808
  download_size: 1902027712
  dataset_size: 1918653929
configs:
- config_name: default
  data_files:
  - split: test
    path: data/test-*
license: cc-by-sa-4.0
task_categories:
- image-text-to-text
language:
- th
size_categories:
- 1K<n<10K
---

# ThaiOCRBench: A Task-Diverse Benchmark for Vision-Language Understanding in Thai

**ThaiOCRBench** is the first comprehensive benchmark for evaluating vision-language models (VLMs) on Thai text-rich visual understanding tasks.  
Inspired by OCRBench v2, it contains **2,808 human-annotated samples** across **13 diverse tasks**, including table parsing, chart understanding, full-page OCR, key information extraction, and visual question answering.  

The benchmark enables **standardized zero-shot evaluation** for both proprietary and open-source models, revealing significant performance gaps and paving the way for document understanding in low-resource languages.

🚀 **Our paper _ThaiOCRBench_ has been accepted to the IJCNLP-AACL 2025 Main Conference!**


👉 **[📄 Read the Paper](https://arxiv.org/abs/2511.04479)**  
👉 **[💻 GitHub Repository](https://github.com/scb-10x/ThaiOCRBench)**



## 📊 Dataset Statistics

| Task Type                     | Number of Samples |
|-------------------------------|-------------------|
| Text Recognition              | 333               |
| Table Parsing                 | 193               |
| Full-page OCR                 | 197               |
| Chart Parsing                 | 200               |
| Key Information Extraction    | 201               |
| Diagram VQA                   | 204               |
| Fine-grained Text Recognition | 206               |
| Handwritten Content Extraction| 209               |
| Key Information Mapping       | 209               |
| Document Parsing              | 211               |
| Infographics VQA              | 213               |
| Document Classification       | 215               |
| Cognition VQA                 | 217               |
| **Total**                     | **2,808**         |


## 🧠 Performance of VLMs on ThaiOCRBench

<p align="center">
  <img src="https://raw.githubusercontent.com/scb-10x/ThaiOCRBench/main/pics/thaiocrbench_eval.png" width="70%" height="60%">
</p>

## 📘 Citation

If you use ThaiOCRBench in your research or applications, please cite our work:

```
@misc{nonesung2025thaiocrbenchtaskdiversebenchmarkvisionlanguage,
      title={ThaiOCRBench: A Task-Diverse Benchmark for Vision-Language Understanding in Thai}, 
      author={Surapon Nonesung and Teetouch Jaknamon and Sirinya Chaiophat and Natapong Nitarach and Chanakan Wittayasakpan and Warit Sirichotedumrong and Adisai Na-Thalang and Kunat Pipatanakul},
      year={2025},
      eprint={2511.04479},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2511.04479}, 
}
```