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# PIE Dataset Card for "DrugProt"
This is a [PyTorch-IE](https://github.com/ChristophAlt/pytorch-ie) wrapper for the
[DrugProt Huggingface dataset loading script](https://huggingface.co/datasets/bigbio/drugprot).
## Data Schema
There are two versions of the dataset supported, `drugprot_source` and `drugprot_bigbio_kb`.
#### `DrugprotDocument` for `drugprot_source`
defines following fields:
- `text` (str)
- `id` (str, optional)
- `metadata` (dictionary, optional)
- `title` (str, optional)
- `abstract` (str, optional)
and the following annotation layers:
- `entities` (annotation type: `LabeledSpan`, target: `text`)
- `relations` (annotation type: `BinaryRelation`, target: `entities`)
#### `DrugprotBigbioDocument` for `drugprot_bigbio_kb`
defines following fields:
- `text` (str)
- `id` (str, optional)
- `metadata` (dictionary, optional)
and the following annotation layers:
- `passages` (annotation type: `LabeledSpan`, target: `text`)
- `entities` (annotation type: `LabeledSpan`, target: `text`)
- `relations` (annotation type: `BinaryRelation`, target: `entities`)
See [here](https://github.com/ArneBinder/pie-modules/blob/main/src/pie_modules/annotations.py) for the annotation
type definitions.
## Document Converters
The dataset provides predefined document converters for the following target document types:
- `pie_modules.documents.TextDocumentWithLabeledSpansAndBinaryRelations` for `DrugprotDocument`
- `pie_modules.documents.TextDocumentWithLabeledSpansBinaryRelationsAndLabeledPartitions` for `DrugprotBigbioDocument`
See [here](https://github.com/ArneBinder/pie-modules/blob/main/src/pie_modules/documents.py) for the document type
definitions.
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