--- 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/ │ │ ├── images.zip │ │ └── labels.csv │ └── ... │ ├── 4char_parquet/ │ ├── / │ │ ├── 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

Amharic	Arabic	Armenian	Bengali	Cherokee	Chinese
Georgian	Greek	Gujarati	Hanunoo	Hebrew	Hindi
Japanese	Kaithi	Kannada	Khmer	Lao	Latin
Lisu	Malayalam	Miao	Modi	Myanmar	Odia
Osage	Russian	Sharada	Siddham	Sinhala	Soyombo
Tai Tham	Tai Viet	Takri	Tamil	Telugu	Thaana
Thai	Tirhuta	Ukrainian	Tifinagh	Korean	Tibetan
Ethiopian	Adlam

## 🏷 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())