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Check out the documentation for more information.
Benchmark Dataset
This dataset contains a curated set of 200 factura documents, sampled from a larger dataset with specific distribution criteria. This newer version contains functional QR codes.
Contents
facturas.json- JSON file containing the extracted factura data for all 500 documentsjpg/- Directory containing the corresponding JPG images (one per document)documento_ids.txt- Plain text file listing all selecteddocumento_idvalues (one per line)
Dataset Statistics
- Total documents: 200
- Document types: Uniformly distributed across A, B, C
- Templates: Uniformly distributed across 5 template types
- Themes: Uniformly distributed across 3 theme types
Usage
The dataset can be used for:
- Model evaluation and benchmarking
- Testing vision-language models on structured document understanding
- Validating extraction accuracy across different document types and styles
Each document has a corresponding JPG image in the jpg/ directory, named as {documento_id}.jpg.
Generation
The code for this dataset generation will be made public within the upcoming week
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