| # PIE Dataset Card for "TBGA" | |
| This is a [PyTorch-IE](https://github.com/ChristophAlt/pytorch-ie) wrapper for the | |
| [TBGA Huggingface dataset loading script](https://huggingface.co/datasets/DFKI-SLT/tbga). | |
| ## Data Schema | |
| The document type for this dataset is `TbgaDocument` which defines the following data fields: | |
| - `text` (str) | |
| and the following annotation layers: | |
| - `entities` (annotation type: `SpanWithIdAndName`, target: `text`) | |
| - `relations` (annotation type: `BinaryRelation`, target: `entities`) | |
| `SpanWithIdAndName` is a custom annotation type that extends typical `Span` with the following data fields: | |
| - `id` (str, for entity identification) | |
| - `name` (str, entity string between span start and end) | |
| 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.TextDocumentWithLabeledSpansAndBinaryRelations` | |
| 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. | |