The dataset viewer is not available for this subset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/parquet/parquet.py", line 118, in _split_generators
self.info.features = datasets.Features.from_arrow_schema(pq.read_schema(f))
^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pyarrow/parquet/core.py", line 2392, in read_schema
file = ParquetFile(
^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/pyarrow/parquet/core.py", line 328, in __init__
self.reader.open(
File "pyarrow/_parquet.pyx", line 1656, in pyarrow._parquet.ParquetReader.open
File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: Parquet magic bytes not found in footer. Either the file is corrupted or this is not a parquet file.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 65, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
🌍 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 41 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/ │ ├── / │ │ ├── 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, Cherokee, Chinese, Georgian, Hanunoo, Japanese, Kaithi, Khmer, Lao, Lisu, Miao, Modi, Myanmar, Osage, Sharada, Siddham, Soyombo, Tai Tham, Tai Viet, Takri, Thaana, Tirhuta
🖼 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 |
🏷 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 | 41 |
| Unique Images per Script | 10,000 |
| Total Unique Images | 410,000 |
| Images Including Duplicates | 820,000 |
| 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
import pandas as pd
df = pd.read_csv("labels.csv")
print(df.head())
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