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NID OCR Dataset
| Split | Samples |
|---|---|
| train | 28,347 |
| validation | 6,000 |
Sources
- Synthetic — TextRecognitionDataGenerator (token-balanced)
- Shamadhan — real cropped NID field images (reviewed labels)
Columns
| Column | Type | Description |
|---|---|---|
image |
Image | Cropped NID field (RGB) |
text |
string | OCR ground-truth label |
class_name |
string | NID field type (e.g. en_name, address_line_00) |
source |
string | synthetic or shamadhan |
Load
from datasets import load_dataset
ds = load_dataset('parquet', data_files={
'train': 'hf_dataset/train/*.parquet',
'validation': 'hf_dataset/validation/*.parquet',
})
Upload
ds.push_to_hub('your-org/nid-ocr-dataset')
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