use pie-documents 0.1.0

from https://github.com/ArneBinder/pie-datasets/pull/209 (and https://github.com/ArneBinder/pie-datasets/pull/211), also see https://github.com/ArneBinder/pie-documents/releases/tag/v0.1.0

README.md

@@ -36,15 +36,15 @@ and the following annotation layers:
 - `entities` (annotation type: `LabeledSpan`, target: `text`)
 - `relations` (annotation type: `BinaryRelation`, target: `entities`)
 
-See [here](https://github.com/ArneBinder/pie-modules/blob/main/src/pie_modules/annotations.py) for the annotation
+See [here](https://github.com/ArneBinder/pie-documents/blob/main/src/pie_documents/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` for `DrugprotDocument`
-- `pie_modules.documents.TextDocumentWithLabeledSpansBinaryRelationsAndLabeledPartitions` for `DrugprotBigbioDocument`
+- `pie_documents.documents.TextDocumentWithLabeledSpansAndBinaryRelations` for `DrugprotDocument`
+- `pie_documents.documents.TextDocumentWithLabeledSpansBinaryRelationsAndLabeledPartitions` for `DrugprotBigbioDocument`
 
-See [here](https://github.com/ArneBinder/pie-modules/blob/main/src/pie_modules/documents.py) for the document type
+See [here](https://github.com/ArneBinder/pie-documents/blob/main/src/pie_documents/documents.py) for the document type
 definitions.

drugprot.py

@@ -2,8 +2,8 @@ from dataclasses import dataclass
 from typing import Any, Dict, Optional, Union
 
 import datasets
-from pie_modules.annotations import BinaryRelation, LabeledSpan
-from pie_modules.documents import (
+from pie_documents.annotations import BinaryRelation, LabeledSpan
+from pie_documents.documents import (
     AnnotationLayer,
     TextBasedDocument,
     TextDocumentWithLabeledSpansAndBinaryRelations,

requirements.txt

@@ -1,2 +1,2 @@
 pie-datasets>=0.10.11,<0.12.0
-pie-modules>=0.15.9,<0.16.0
+pie-documents>=0.1.0,<0.2.0