# Synthetic Packaging Slip Donut Dataset

Synthetic packaging slip dataset for Donut fine-tuning.

## Contents

- `train`: 50 PNG images + labels
- `val`: 50 PNG images + labels
- `test`: 50 PNG images + labels
- Total: 150 images

Each split has:

- `metadata.jsonl`: Donut/imagefolder-ready metadata. `ground_truth` is a JSON string containing `gt_parse`.
- `annotations_with_sequences.jsonl`: structured JSON plus a pre-built Donut target sequence.
- `annotations.json`: pretty JSON version for inspection.

## Schema

```json
{
  "packaging": {
    "seller": {"company_name": "", "address": "", "phone_number": ""},
    "buyer": {"bill_to_name": "", "bill_to_address": "", "ship_to_name": "", "ship_to_address": ""},
    "document": {"package_number": "", "order_date": "", "sales_order_number": "", "po_number": ""},
    "items": [{"sr_no": "", "item_description": "", "sku": "", "quantity": "", "unit_price": "", "total_price": ""}],
    "summary": {"total_quantity": "", "sub_total": "", "tax": "", "freight": "", "grand_total": ""},
    "notes": ""
  }
}
```

## Load with Hugging Face datasets

```python
from datasets import load_dataset

dataset = load_dataset("imagefolder", data_dir="packaging_slip_donut_dataset")
print(dataset)
```

All records are synthetic. Totals are validated during generation.