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 (adding labels to the original text boxes from source)
Additional Information
Licensing Information
MIT License
Contributions
Thanks to @arvindrajan92 for adding this dataset.