samples_evaluated int64 | per_field_accuracy dict | macro_accuracy float64 | details list |
|---|---|---|---|
3 | {
"vendor_name": 0.333,
"vendor_tax_id": 1,
"invoice_number": 0.667,
"invoice_date_jalali": 1,
"total_amount": 0.333
} | 0.667 | [
{
"id": "inv_001",
"fields": {
"vendor_name": {
"expected": "شرکت فولاد آریا صنعت",
"actual": "تعنص اىرآ دالوف تكرش",
"match": false
},
"vendor_tax_id": {
"expected": "1234567890",
"actual": "1234567890",
"match": true
},
"invoice... |
DocFlow Invoice Samples — Persian & Bilingual
Synthetic invoice dataset for evaluating DocFlow AI field extraction pipelines. Published by Aria AI Engineering Team.
Dataset Summary
| Property | Value |
|---|---|
| Samples | 50 (synthetic, OCR-friendly) |
| Languages | Persian (FA), English (EN) |
| Formats | PNG images + JSON annotations |
| Use case | Invoice OCR benchmarking, AP automation R&D |
| Synthetic | Yes — no real PII |
Fields Annotated
vendor_name,vendor_tax_id,invoice_numberinvoice_date_jalali,buyer_namesubtotal,tax_amount,total_amount,currencyline_items[]with description, quantity, unit_price, total
Intended Use
- Benchmarking DocFlow extraction accuracy
- Fine-tuning LayoutLMv3 / Donut models (future release)
- Integration testing for ERP export pipelines
Limitations
- Small demo set; not representative of all Iranian invoice layouts
- Synthetic data only — do not use for compliance certification
Citation
@dataset{docflow_invoice_samples_fa_2025,
title={DocFlow Invoice Samples FA},
author={Aria AI Engineering Team},
year={2025},
publisher={Hugging Face},
url={https://huggingface.co/datasets/alirezaaminzadeh/docflow-invoice-samples-fa}
}
License
Apache 2.0
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