# 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.