| # PIE Dataset Card for "TBGA" |
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| 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). |
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| ## Data Schema |
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| The document type for this dataset is `TbgaDocument` which defines the following data fields: |
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| - `text` (str) |
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| and the following annotation layers: |
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| - `entities` (annotation type: `SpanWithIdAndName`, target: `text`) |
| - `relations` (annotation type: `BinaryRelation`, target: `entities`) |
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| `SpanWithIdAndName` is a custom annotation type that extends typical `Span` with the following data fields: |
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| - `id` (str, for entity identification) |
| - `name` (str, entity string between span start and end) |
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| See [here](https://github.com/ArneBinder/pie-documents/blob/main/src/pie_documents/annotations.py) and |
| [here](https://github.com/ArneBinder/pie-documents/blob/main/src/pie_documents/annotations.py) for the annotation |
| type definitions. |
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| ## Document Converters |
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| The dataset provides predefined document converters for the following target document types: |
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| - `pie_documents.documents.TextDocumentWithLabeledSpansAndBinaryRelations` |
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| See [here](https://github.com/ArneBinder/pie-documents/blob/main/src/pie_documents/documents.py) and |
| [here](https://github.com/ArneBinder/pie-documents/blob/main/src/pie_documents/documents.py) for the document type |
| definitions. |
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