|
|
--- |
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dataset_info: |
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features: |
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- name: Id |
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dtype: string |
|
|
- name: image |
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|
dtype: image |
|
|
- name: Task |
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|
dtype: string |
|
|
- name: question |
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|
dtype: string |
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|
- name: answer |
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dtype: string |
|
|
- name: category |
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|
dtype: string |
|
|
splits: |
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|
- name: test |
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|
num_bytes: 1918653929 |
|
|
num_examples: 2808 |
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|
download_size: 1902027712 |
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|
dataset_size: 1918653929 |
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|
configs: |
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|
- config_name: default |
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data_files: |
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|
- split: test |
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|
path: data/test-* |
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license: cc-by-sa-4.0 |
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task_categories: |
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- image-text-to-text |
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language: |
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|
- th |
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size_categories: |
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|
- 1K<n<10K |
|
|
--- |
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|
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|
# ThaiOCRBench: A Task-Diverse Benchmark for Vision-Language Understanding in Thai |
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**ThaiOCRBench** is the first comprehensive benchmark for evaluating vision-language models (VLMs) on Thai text-rich visual understanding tasks. |
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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. |
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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. |
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🚀 **Our paper _ThaiOCRBench_ has been accepted to the IJCNLP-AACL 2025 Main Conference!** |
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👉 **[📄 Read the Paper](https://arxiv.org/abs/2511.04479)** |
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👉 **[💻 GitHub Repository](https://github.com/scb-10x/ThaiOCRBench)** |
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|
## 📊 Dataset Statistics |
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|
|
| Task Type | Number of Samples | |
|
|
|-------------------------------|-------------------| |
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|
| Text Recognition | 333 | |
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|
| Table Parsing | 193 | |
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| Full-page OCR | 197 | |
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| Chart Parsing | 200 | |
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|
| Key Information Extraction | 201 | |
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| Diagram VQA | 204 | |
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| Fine-grained Text Recognition | 206 | |
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| Handwritten Content Extraction| 209 | |
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| Key Information Mapping | 209 | |
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| Document Parsing | 211 | |
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|
| Infographics VQA | 213 | |
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| Document Classification | 215 | |
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|
| Cognition VQA | 217 | |
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| **Total** | **2,808** | |
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## 🧠 Performance of VLMs on ThaiOCRBench |
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<p align="center"> |
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<img src="https://raw.githubusercontent.com/scb-10x/ThaiOCRBench/main/pics/thaiocrbench_eval.png" width="70%" height="60%"> |
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</p> |
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## 📘 Citation |
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If you use ThaiOCRBench in your research or applications, please cite our work: |
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``` |
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|
@misc{nonesung2025thaiocrbenchtaskdiversebenchmarkvisionlanguage, |
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|
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}, |
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|
year={2025}, |
|
|
eprint={2511.04479}, |
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|
archivePrefix={arXiv}, |
|
|
primaryClass={cs.CL}, |
|
|
url={https://arxiv.org/abs/2511.04479}, |
|
|
} |
|
|
``` |
