use pie-modules instead of pytorch-ie

see https://github.com/ArneBinder/pie-datasets/pull/204 for further information

README.md

@@ -20,7 +20,7 @@ and the following annotation layers:
 - `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
+[here](https://github.com/ArneBinder/pie-modules/blob/main/src/pie_modules/annotations.py) for the annotation
 type definitions.
 
 ## Document Converters
@@ -30,5 +30,5 @@ The dataset provides predefined document converters for the following target doc
 - `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
+[here](https://github.com/ArneBinder/pie-modules/blob/main/src/pie_modules/documents.py) for the document type
 definitions.

requirements.txt

@@ -1 +1,2 @@
-pie-datasets>=0.6.0,<0.11.0
+pie-datasets>=0.10.11,<0.11.0
+pie-modules>=0.15.9,<0.16.0

tbga.py

@@ -2,9 +2,9 @@ import dataclasses
 from typing import Any
 
 import datasets
-from pytorch_ie import AnnotationLayer, annotation_field
-from pytorch_ie.annotations import BinaryRelation, LabeledSpan, Span
-from pytorch_ie.documents import (
+from pie_core import AnnotationLayer, annotation_field
+from pie_modules.annotations import BinaryRelation, LabeledSpan, Span
+from pie_modules.documents import (
     TextBasedDocument,
     TextDocumentWithLabeledSpansAndBinaryRelations,
 )