task_categories:feature-extraction size_categories:n<1K language:en license:mit region:us
---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: ground_truth
    dtype: string
  splits:
  - name: train
    num_bytes: 234024421
    num_examples: 425
  - name: test
    num_bytes: 14512665
    num_examples: 26
  - name: validation
    num_bytes: 27661738
    num_examples: 50
  download_size: 197512750
  dataset_size: 276198824
license: mit
task_categories:
- feature-extraction
language:
- en
pretty_name: Sparrow Invoice Dataset
size_categories:
- n<1K
---
# Dataset Card for Invoices (Sparrow)


This dataset contains 500 invoice documents annotated and processed to be ready for Donut ML model fine-tuning.

Annotation and data preparation task was done by [Katana ML](https://www.katanaml.io) team.

[Sparrow](https://github.com/katanaml/sparrow/tree/main) - open-source data extraction solution by Katana ML.

Original dataset [info](https://data.mendeley.com/datasets/tnj49gpmtz): Kozłowski, Marek; Weichbroth, Paweł (2021), “Samples of electronic invoices”, Mendeley Data, V2, doi: 10.17632/tnj49gpmtz.2