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metadata
license: mit
dataset_info:
  features:
    - name: image
      dtype: image
    - name: ocr
      list:
        - name: box
          sequence:
            sequence: float64
        - name: label
          dtype: string
        - name: text
          dtype: string
  splits:
    - name: train
      num_bytes: 267317016
      num_examples: 652
  download_size: 217146103
  dataset_size: 267317016

Dataset Card for "sroie_document_understanding"

Table of Contents

Dataset Description

This dataset is an enriched version of SROIE 2019 dataset with additional labels for line descriptions and line totals for OCR and layout understanding.

Dataset Structure

DatasetDict({
    train: Dataset({
        features: ['image', 'ocr'],
        num_rows: 652
    })
})

Data Fields

{
    'image': PIL Image object,
     'ocr': [
        #  text box 1
        {
            'box': [[float, float], [float, float], [float, float], [float, float]],
            'label': str,  # "other" | "company" | "address" | "date" | "line_description" | "line_total" | "total"
            'text': str
        },
            ...
        #  text box N
        {
            'box': [[float, float], [float, float], [float, float], [float, float]],
            'label': str,
            'text': str,
        }
    ]
}

Dataset Creation

Source Data

The dataset was obtained from ICDAR2019 Competition on Scanned Receipt OCR and Information Extraction

Annotations

Annotation process

Additional labels to receipt line items were added using open source labelme tool.

Who are the annotators?

Arvind Rajan

Additional Information

Licensing Information

MIT License

Contributions

Thanks to @arvindrajan92 for adding this dataset.