use pie-modules instead of pytorch-ie

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

README.md

@@ -32,7 +32,7 @@ and the following annotation layers:
 - `type` (str): entity type classifying the expression
 
 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
@@ -52,5 +52,5 @@ The dataset provides predefined document converters for the following target doc
     there is no rule is applicable (cf [here](https://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-14-323/tables/7)).
 
 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.

comagc.py

@@ -3,9 +3,9 @@ from dataclasses import dataclass
 from typing import Any, Dict, Optional
 
 import datasets
-from pytorch_ie import AnnotationLayer, Document, annotation_field
-from pytorch_ie.annotations import BinaryRelation, LabeledSpan, Span
-from pytorch_ie.documents import TextDocumentWithLabeledSpansAndBinaryRelations
+from pie_core import AnnotationLayer, Document, annotation_field
+from pie_modules.annotations import BinaryRelation, LabeledSpan, Span
+from pie_modules.documents import TextDocumentWithLabeledSpansAndBinaryRelations
 
 from pie_datasets import ArrowBasedBuilder
 

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