| # 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/`. |
|
|
