# Dataset Card for "sroie_document_understanding"

## Table of Contents
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Structure](#dataset-structure)
  - [Data Fields](#data-fields)
- [Dataset Creation](#dataset-creation)
  - [Source Data](#source-data)
  - [Annotations](#annotations)
- [Additional Information](#additional-information)
  - [Licensing Information](#licensing-information)
  - [Contributions](#contributions)

## 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

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

### Data Fields

```python
{
    '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](https://rrc.cvc.uab.es/?ch=13)

### Annotations

#### Annotation process

Additional labels to receipt line items were added using open source [labelme](https://github.com/wkentaro/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](https://github.com/arvindrajan92) for adding this dataset.
license:mit region:us
{"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": 267317016.0, "num_examples": 652}], "download_size": 217146103, "dataset_size": 267317016.0}}
TAGS
#license-mit #region-us 

# Dataset Card for "sroie_document_understanding"

## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Structure
  - Data Fields
- Dataset Creation
  - Source Data
  - Annotations
- Additional Information
  - Licensing Information
  - Contributions

## 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



### Data Fields



## 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.
# Dataset Card for "sroie_document_understanding" ## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Structure
  - Data Fields
- Dataset Creation
  - Source Data
  - Annotations
- Additional Information
  - Licensing Information
  - Contributions ## 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 ### Data Fields ## 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.
TAGS
#license-mit #region-us 
 # Dataset Card for "sroie_document_understanding" ## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Structure
  - Data Fields
- Dataset Creation
  - Source Data
  - Annotations
- Additional Information
  - Licensing Information
  - Contributions ## 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 ### Data Fields ## 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.
passage: TAGS
#license-mit #region-us 
# Dataset Card for "sroie_document_understanding"## Table of Contents
- Table of Contents
- Dataset Description
- Dataset Structure
  - Data Fields
- Dataset Creation
  - Source Data
  - Annotations
- Additional Information
  - Licensing Information
  - Contributions## 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### Data Fields## 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.