| --- |
| license: cc-by-4.0 |
| language: |
| - am |
| - hy |
| - zh |
| - ka |
| - ja |
| - km |
| - lo |
| - my |
| - te |
| - ta |
| - ml |
| - he |
| - hi |
| - ko |
| - kn |
| - or |
| - bn |
| - el |
| - gu |
| - la |
| - ru |
| - si |
| - th |
| - uk |
| - ar |
| - bo |
| size_categories: |
| - 100K<n<1M |
| tags: |
| - Cherokee |
| - Hanunoo |
| - Kaithi |
| - Lisu |
| - Miao |
| - Osage |
| - Sharada |
| - Siddham |
| - Soyombo |
| - TaiTham |
| - TaiViet |
| - Takri |
| - Thaana |
| - Tirhuta |
| - Tifinagh |
| - soyombo |
| - siddham |
| - sharada |
| - osage |
| - miao |
| - lisu |
| - kaithi |
| - Ethiopian |
| - Adlam |
| --- |
| |
|
|
| # 🌍 Tiny Multilingual CAPTCHA Library |
|
|
| **Repository:** `remiai3/tiny-captcha-library` |
| A multilingual dataset of **synthetic 4-character CAPTCHA images** designed for **OCR, multilingual vision models, and script recognition research**. |
| This dataset spans **44 world writing systems** and is especially useful for **low-resource script OCR training**. |
|
|
| ## 📌 Dataset Summary |
|
|
| Each script includes **10,000 unique CAPTCHA images**. |
| The dataset is provided in **two parallel formats**: |
|
|
| - **CSV version** (standard ML workflows) |
| - **Parquet version** (faster loading for large-scale pipelines) |
|
|
| ⚠️ The images inside both folders are **identical** — only the label file format differs. |
| So per language: |
| - 10,000 unique images |
| - 10,000 duplicate copies (same images, different label format) |
|
|
| ## 🗂 Dataset Structure |
|
|
| tiny-captcha-library/ |
| │ |
| ├── 4char/ |
| │ ├── <Language_Name>/ |
| │ │ ├── images.zip |
| │ │ └── labels.csv |
| │ └── ... |
| │ |
| ├── 4char_parquet/ |
| │ ├── <Language_Name>/ |
| │ │ ├── images.zip |
| │ │ └── labels.parquet |
| │ └── ... |
| │ |
| ├── Amharic.png |
| ├── Armenian.png |
| └── ... |
| |
| ### Folder Details |
| | Folder | Contains | Purpose | |
| |-------|----------|---------| |
| | **4char/** | Images + `labels.csv` | Standard format | |
| | **4char_parquet/** | Same images + `labels.parquet` | Efficient ML pipelines | |
| Each language folder includes: |
| - `images.zip` → CAPTCHA images |
| - Label file mapping image filename → correct 4-character text |
| |
| ## 🌐 Supported Scripts |
| Amharic, Armenian, Arabic, Bengali, Cherokee, Chinese, Georgian, Greek, Gujarati, Hebrew, Hindi, Hanunoo, Japanese, Kaithi, |
| Kannada, Khmer, Lao, Latin, Lisu, Malayalam, Miao, Modi, Myanmar, Odia, Osage, Russian, Sharada, Siddham, Sinhala, Soyombo, |
| Tai Tham, Tai Viet, Takri, Thaana, Tirhuta, Tamil, Telugu, Thai, Ukrainian, Tifinagh, Korean, Tibetan, Ethiopian, Adlam |
| |
| ## 🖼 Sample CAPTCHA Styles |
| |
| <table align="center"> |
| <tr> |
| <td align="center"><img src="./Amharic.png" width="110"/><br>Amharic</td> |
| <td align="center"><img src="./Arabic.png" width="110"/><br>Arabic</td> |
| <td align="center"><img src="./Armenian.png" width="110"/><br>Armenian</td> |
| <td align="center"><img src="./Bengali.png" width="110"/><br>Bengali</td> |
| <td align="center"><img src="./Cherokee.png" width="110"/><br>Cherokee</td> |
| <td align="center"><img src="./Chinese.png" width="110"/><br>Chinese</td> |
| </tr> |
| |
| <tr> |
| <td align="center"><img src="./Georgian.png" width="110"/><br>Georgian</td> |
| <td align="center"><img src="./Greek.png" width="110"/><br>Greek</td> |
| <td align="center"><img src="./Gujarati.png" width="110"/><br>Gujarati</td> |
| <td align="center"><img src="./Hanunoo.png" width="110"/><br>Hanunoo</td> |
| <td align="center"><img src="./Hebrew.png" width="110"/><br>Hebrew</td> |
| <td align="center"><img src="./Hindi.png" width="110"/><br>Hindi</td> |
| </tr> |
| |
| <tr> |
| <td align="center"><img src="./Japanese.png" width="110"/><br>Japanese</td> |
| <td align="center"><img src="./Kaithi.png" width="110"/><br>Kaithi</td> |
| <td align="center"><img src="./Kannada.png" width="110"/><br>Kannada</td> |
| <td align="center"><img src="./Khmer.png" width="110"/><br>Khmer</td> |
| <td align="center"><img src="./Lao.png" width="110"/><br>Lao</td> |
| <td align="center"><img src="./Latin.png" width="110"/><br>Latin</td> |
| </tr> |
| |
| <tr> |
| <td align="center"><img src="./Lisu.png" width="110"/><br>Lisu</td> |
| <td align="center"><img src="./Malayalam.png" width="110"/><br>Malayalam</td> |
| <td align="center"><img src="./Miao.png" width="110"/><br>Miao</td> |
| <td align="center"><img src="./Modi.png" width="110"/><br>Modi</td> |
| <td align="center"><img src="./Myanmar.png" width="110"/><br>Myanmar</td> |
| <td align="center"><img src="./Odia.png" width="110"/><br>Odia</td> |
| </tr> |
| |
| <tr> |
| <td align="center"><img src="./Osage.png" width="110"/><br>Osage</td> |
| <td align="center"><img src="./Russian.png" width="110"/><br>Russian</td> |
| <td align="center"><img src="./Sharada.png" width="110"/><br>Sharada</td> |
| <td align="center"><img src="./Siddham.png" width="110"/><br>Siddham</td> |
| <td align="center"><img src="./Sinhala.png" width="110"/><br>Sinhala</td> |
| <td align="center"><img src="./Soyombo.png" width="110"/><br>Soyombo</td> |
| </tr> |
| |
| <tr> |
| <td align="center"><img src="./TaiTham.png" width="110"/><br>Tai Tham</td> |
| <td align="center"><img src="./TaiViet.png" width="110"/><br>Tai Viet</td> |
| <td align="center"><img src="./Takri.png" width="110"/><br>Takri</td> |
| <td align="center"><img src="./Tamil.png" width="110"/><br>Tamil</td> |
| <td align="center"><img src="./Telugu.png" width="110"/><br>Telugu</td> |
| <td align="center"><img src="./Thaana.png" width="110"/><br>Thaana</td> |
| </tr> |
| |
| <tr> |
| <td align="center"><img src="./Thai.png" width="110"/><br>Thai</td> |
| <td align="center"><img src="./Tirhuta.png" width="110"/><br>Tirhuta</td> |
| <td align="center"><img src="./Ukrainian.png" width="110"/><br>Ukrainian</td> |
| <td align="center"><img src="./Tifinagh.png" width="110"/><br>Tifinagh</td> |
| <td align="center"><img src="./Korean.png" width="110"/><br>Korean</td> |
| <td align="center"><img src="./Tibetan.png" width="110"/><br>Tibetan</td> |
| </tr> |
| <tr> |
| <td align="center"><img src="./Ethiopian.png" width="110"/><br>Ethiopian</td> |
| <td align="center"><img src="./Adlam.png" width="110"/><br>Adlam</td> |
| <td></td> |
| <td></td> |
| <td></td> |
| <td></td> |
| </tr> |
| </table> |
| |
| ## 🏷 Label Format |
| ### CSV |
| | filename | label | |
| |----------|-------| |
| | img_00001.png | text | |
| | img_00002.png | text | |
| |
| ### Parquet |
| Same structure as CSV but stored in columnar format. |
| |
| ## 📊 Dataset Statistics |
| | Metric | Value | |
| |-------|------| |
| | Total Scripts | 44 | |
| | Unique Images per Script | 10,000 | |
| | Total Unique Images | 440,000 | |
| | Images Including Duplicates | 880,000 | |
| | Characters per CAPTCHA | 4 | |
| |
| ## 🎯 Intended Use |
| This dataset is designed for: |
| - Multilingual OCR training |
| - Vision-language model pretraining |
| - Script recognition research |
| - Robust text recognition under distortion |
| 🚫 Not intended for bypassing real-world CAPTCHA security systems. |
| |
| ## ⚙️ Example Loading |
| |
| ```python |
| import pandas as pd |
| |
| df = pd.read_csv("labels.csv") |
| print(df.head()) |
