use pie-modules instead of pytorch-ie

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

README.md

@@ -16,7 +16,7 @@ and the following annotation layers:
 - `label` (annotation type: `Label`, target: `None`)
 
 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
@@ -26,5 +26,5 @@ The dataset provides predefined document converters for the following target doc
 - `pie_modules.documents.ExtractiveQADocument` (simple cast without any conversion)
 
 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.

imdb.py

@@ -2,8 +2,8 @@ from dataclasses import dataclass
 from typing import Any, Dict
 
 import datasets
-from pytorch_ie.annotations import Label
-from pytorch_ie.documents import TextDocumentWithLabel
+from pie_modules.annotations import Label
+from pie_modules.documents import TextDocumentWithLabel
 
 from pie_datasets import GeneratorBasedBuilder
 

requirements.txt

@@ -1 +1,2 @@
-pie-datasets>=0.8.1,<0.9.0
+pie-datasets>=0.10.11,<0.11.0
+pie-modules>=0.15.9,<0.16.0