| # STIPLAR: Scene Text Image Pairs of Low-resource lAnguage and Real-world data |
| - STIPLAR is a real-world scene text image dataset containing Korean, Arabic, and Japanese text image pairs collected from MLT-2019 and web sources, designed for fine-tuning STELLAR on low-resource languages. |
|
|
| <div align="center"> |
| <img src="figs/examples_stiplar.png" alt="Examples_STIPLAR" width="60%"> |
| </div> |
|
|
| ## To do |
| - [x] Dataset download location will be updated. |
|
|
| ## Dataset |
| For Stage 2 training, we utilize `STIPLAR`, our newly proposed scene text image pairs of low-resource language and real-world data. The dataset for each language can be downloaded from [Link](https://huggingface.co/datasets/anonymous-stellar/anonymous-stiplar/tree/main/STIPLAR). |
|
|
| ## Statistics |
| <details> |
| <summary><strong>Version 1 (2025.08.06)</strong></summary> |
|
|
| | Lang. | Type | Train Open | Train Crawl | Train Total | Eval Open | Eval Crawl | Eval Total | |
| |----------|-----------------|------------|-------------|-------------|-----------|------------|------------| |
| | Korean | Full image | 269 | 317 | 586 | 68 | 80 | 148 | |
| | Korean | Text image pair | 1456 | 6229 | 7685 | 362 | 1717 | 2079 | |
| | Arabic | Full image | 252 | 56 | 308 | 64 | 15 | 79 | |
| | Arabic | Text image pair | 1879 | 3460 | 5339 | 450 | 531 | 981 | |
| | Japanese | Full image | 97 | 252 | 349 | 25 | 63 | 88 | |
| | Japanese | Text image pair | 356 | 1282 | 1638 | 97 | 288 | 385 | |
|
|
| - `Train Open`, `Eval Open`: Images from Open-source dataset |
|
|
| - `Train Crawl`, `Eval Crawl`: Images from web crawling. |
|
|
| </details> |
|
|
| <details> |
| <summary><strong>Version 2 (2025.08.15)</strong></summary> |
|
|
| - In the Arabic `Train Crawl`, 1 Full image and 3 Text image pairs have been removed. |
|
|
| | Lang. | Type | Train Open | Train Crawl | Train Total | Eval Open | Eval Crawl | Eval Total | |
| |----------|-----------------|------------|-------------|-------------|-----------|------------|------------| |
| | Korean | Full image | 269 | 317 | 586 | 68 | 80 | 148 | |
| | Korean | Text image pair | 1456 | 6229 | 7685 | 362 | 1717 | 2079 | |
| | Arabic | Full image | 252 | **55** | **307** | 64 | 15 | 79 | |
| | Arabic | Text image pair | 1879 | **3457** | **5336** | 450 | 531 | 981 | |
| | Japanese | Full image | 97 | 252 | 349 | 25 | 63 | 88 | |
| | Japanese | Text image pair | 356 | 1282 | 1638 | 97 | 288 | 385 | |
|
|
| - `Train Open`, `Eval Open`: Images from Open-source dataset |
|
|
| - `Train Crawl`, `Eval Crawl`: Images from web crawling. |
|
|
| </details> |
|
|
| <details> |
| <summary><strong>Version 3 (2025.08.24)</strong></summary> |
|
|
| - In the Arabic `Train Open`, 1 Full image and 1 Text image pairs have been removed. |
|
|
| | Lang. | Type | Train Open | Train Crawl | Train Total | Eval Open | Eval Crawl | Eval Total | |
| |----------|-----------------|------------|-------------|-------------|-----------|------------|------------| |
| | Korean | Full image | 269 | 317 | 586 | 68 | 80 | 148 | |
| | Korean | Text image pair | 1456 | 6229 | 7685 | 362 | 1717 | 2079 | |
| | Arabic | Full image | **251** | 55 | **306** | 64 | 15 | 79 | |
| | Arabic | Text image pair | **1878** | 3457 | **5335** | 450 | 531 | 981 | |
| | Japanese | Full image | 97 | 252 | 349 | 25 | 63 | 88 | |
| | Japanese | Text image pair | 356 | 1282 | 1638 | 97 | 288 | 385 | |
|
|
| - `Train Open`, `Eval Open`: Images from Open-source dataset |
|
|
| - `Train Crawl`, `Eval Crawl`: Images from web crawling. |
|
|
| </details> |
|
|
|
|
| ## Evaluation |
| Download the STIPLAR-eval dataset from [Link](https://huggingface.co/datasets/anonymous-stellar/anonymous-stiplar/tree/main/STIPLAR-eval) and unzip the files. This is a newly re-numbered version that combines the `eval-crawling` folder and the `eval-mlt2019` folder from the `STIPILAR` dataset. |
| ```bash |
| ├── anonymous-stellar/ |
| │ ├── STIPLAR-ko-eval/ |
| │ ├── STIPLAR-ar-eval/ |
| │ └── STIPLAR-jp-eval/ |
| │ ├── i_s/ |
| │ ├── t_f/ |
| │ └── i_full/ |
| ``` |
|
|
| ## License |
|
|
| ### Dataset |
| The dataset contained in this repository consists of web-crawled images originally |
| distributed under the following open licenses: CC0, CC BY, CC BY-NC, and PDM. |
|
|
| - Each image retains its original license, which is specified in the metadata. |
| - For CC BY images, proper attribution to the original creator is required. |
| - For CC BY-NC images, commercial use is not permitted. |
| - For CC0 and PDM images, the content is in the public domain and may be freely used. |
|
|
| The dataset curators do not claim ownership of the original images, |
| only of the metadata and dataset organization, which are released under CC BY 4.0. |
