| # 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. |
|
|
