Timokerr/OCR_baseline

Benchmark Documents

This folder contains the canonical benchmark dataset used by the standalone runner. Open-source github repository that benchmarks this dataset on 17 LLM models:

https://github.com/ArbitrHq/ocr-mini-bench

Layout

• Invoices/
• Receipts/
• Logistics/

Each domain folder contains:

• source PDFs (one file per document)
• ground_truth/*.json labels

Ground Truth Expectations

• One JSON file per document.
• JSON uses field-object schema (value, critical, type, optional metadata).
• Nested fields are allowed; they are flattened for scoring.

Maintenance Rules

1. Keep PDF filenames stable once benchmark results are published.
2. Re-run manifest generation after adding/removing docs:
   • npm run benchmark:bootstrap-dataset
3. Validate before runs:
   • npm run benchmark:validate
4. Keep canonical PDFs at domain root; store alternates in reduced_size/ or full_size/.