Datasets:
wkrl
/

Sub-tasks: parsing
Languages: English
Multilinguality: monolingual
Size Categories: 1K<n<10K
Language Creators: crowdsourced
Annotations Creators: crowdsourced
Source Datasets: original
License:
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Dataset Card for CORD (Consolidated Receipt Dataset)

Dataset Summary

[More Information Needed]

Supported Tasks and Leaderboards

[More Information Needed]

Dataset Structure

Data Instances

[More Information Needed]

Data Fields

{
  "id": datasets.Value("string"),
  "words": datasets.Sequence(datasets.Value("string")),
  "bboxes": datasets.Sequence(datasets.Sequence(datasets.Value("int64"))),
  "labels": datasets.Sequence(datasets.features.ClassLabel(names=_LABELS)),
  "images": datasets.features.Image(),
}

Data Splits

  • train (800 rows)
  • validation (100 rows)
  • test (100 rows)

Dataset Creation

Licensing Information

Creative Commons Attribution 4.0 International License

Citation Information

@article{park2019cord,
  title={CORD: A Consolidated Receipt Dataset for Post-OCR Parsing},
  author={Park, Seunghyun and Shin, Seung and Lee, Bado and Lee, Junyeop and Surh, Jaeheung and Seo, Minjoon and Lee, Hwalsuk}
  booktitle={Document Intelligence Workshop at Neural Information Processing Systems}
  year={2019}
}

Contributions

Thanks to @clovaai for adding this dataset.

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