# 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.