# PIE Dataset Card for "imdb"

This is a [PyTorch-IE](https://github.com/ChristophAlt/pytorch-ie) wrapper for the
[imdb Huggingface dataset loading script](https://huggingface.co/datasets/imdb).

## Data Schema

The document type for this dataset is `ImdbDocument` which defines the following data fields:

- `text` (str)
- `id` (str, optional)
- `metadata` (dictionary, optional)

and the following annotation layers:

- `label` (annotation type: `Label`, target: `None`)

See [here](https://github.com/ArneBinder/pie-modules/blob/main/src/pie_modules/annotations.py) and
[here](https://github.com/ChristophAlt/pytorch-ie/blob/main/src/pytorch_ie/annotations.py) for the annotation
type definitions.

## Document Converters

The dataset provides predefined document converters for the following target document types:

- `pie_modules.documents.ExtractiveQADocument` (simple cast without any conversion)

See [here](https://github.com/ArneBinder/pie-modules/blob/main/src/pie_modules/documents.py) and
[here](https://github.com/ChristophAlt/pytorch-ie/blob/main/src/pytorch_ie/documents.py) for the document type
definitions.

region:us
{}
TAGS
#region-us 

# PIE Dataset Card for "imdb"

This is a PyTorch-IE wrapper for the
imdb Huggingface dataset loading script.

## Data Schema

The document type for this dataset is 'ImdbDocument' which defines the following data fields:

- 'text' (str)
- 'id' (str, optional)
- 'metadata' (dictionary, optional)

and the following annotation layers:

- 'label' (annotation type: 'Label', target: 'None')

See here and
here for the annotation
type definitions.

## Document Converters

The dataset provides predefined document converters for the following target document types:

- 'pie_modules.documents.ExtractiveQADocument' (simple cast without any conversion)

See here and
here for the document type
definitions.

# PIE Dataset Card for "imdb"

This is a PyTorch-IE wrapper for the
imdb Huggingface dataset loading script. ## Data Schema

The document type for this dataset is 'ImdbDocument' which defines the following data fields:

- 'text' (str)
- 'id' (str, optional)
- 'metadata' (dictionary, optional)

and the following annotation layers:

- 'label' (annotation type: 'Label', target: 'None')

See here and
here for the annotation
type definitions. ## Document Converters

The dataset provides predefined document converters for the following target document types:

- 'pie_modules.documents.ExtractiveQADocument' (simple cast without any conversion)

See here and
here for the document type
definitions.
TAGS
#region-us 
 # PIE Dataset Card for "imdb"

This is a PyTorch-IE wrapper for the
imdb Huggingface dataset loading script. ## Data Schema

The document type for this dataset is 'ImdbDocument' which defines the following data fields:

- 'text' (str)
- 'id' (str, optional)
- 'metadata' (dictionary, optional)

and the following annotation layers:

- 'label' (annotation type: 'Label', target: 'None')

See here and
here for the annotation
type definitions. ## Document Converters

The dataset provides predefined document converters for the following target document types:

- 'pie_modules.documents.ExtractiveQADocument' (simple cast without any conversion)

See here and
here for the document type
definitions.
passage: TAGS
#region-us 
# PIE Dataset Card for "imdb"

This is a PyTorch-IE wrapper for the
imdb Huggingface dataset loading script.## Data Schema

The document type for this dataset is 'ImdbDocument' which defines the following data fields:

- 'text' (str)
- 'id' (str, optional)
- 'metadata' (dictionary, optional)

and the following annotation layers:

- 'label' (annotation type: 'Label', target: 'None')

See here and
here for the annotation
type definitions.## Document Converters

The dataset provides predefined document converters for the following target document types:

- 'pie_modules.documents.ExtractiveQADocument' (simple cast without any conversion)

See here and
here for the document type
definitions.