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NID OCR Extended Dataset
Built from kavinh07/ocr_dataset_shamadhan_synth_30k_p2 with 9,600 additional confusion-pair training images.
| Split | Samples |
|---|---|
| train | 155,400 |
| validation | 35,363 |
Sources
- kavinh07/ocr_dataset_shamadhan_synth_30k_p2 — original synthetic + shamadhan real data
- synthetic_confusion — 9,600 confusion-pair images (train only)
Columns
| Column | Type | Description |
|---|---|---|
image |
Image | Cropped NID field (RGB) |
text |
string | OCR ground-truth label |
class_name |
string | NID field type or confusion_training |
source |
string | synthetic, shamadhan, or synthetic_confusion |
Load
from datasets import load_dataset
ds = load_dataset('parquet', data_files={
'train': '/app/hf_extended/train/*.parquet',
'validation': '/app/hf_extended/validation/*.parquet',
})
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