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Check out the documentation for more information.
Benchmark Dataset
This directory contains a curated benchmark dataset of 500 factura documents, sampled from a full dataset with specific distribution criteria.
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)
Sampling Criteria
The 500 documents were randomly sampled to achieve the following distributions:
- Currency (Moneda): 90% ARS, 10% other currencies (EUR, USD)
- Document Type (Tipo Comprobante): Uniform distribution across types A, B, and C
- Template: Uniform distribution across all available templates (baseline, cards, columns, columns_notitles, sidebar)
- Theme: Uniform distribution within each template across themes (code, sans, typewriter)
Dataset Statistics
- Total documents: 500
- Currency breakdown: ~450 ARS, ~50 other currencies
- 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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