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

@@ -15,13 +15,13 @@ and the following annotation layers:
 
 - `entities` (annotation type: `LabeledSpan`, target: `text`)
 
-See [here](https://github.com/ArneBinder/pie-modules/blob/main/src/pie_modules/annotations.py) for the annotation type definitions.
+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 document converters for the following target document types:
 
-- `pie_modules.documents.TextDocumentWithLabeledSpans`
+- `pie_documents.documents.TextDocumentWithLabeledSpans`
 
-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.

conll2003.py

@@ -3,9 +3,9 @@ from typing import List, Sequence, Tuple
 
 import datasets
 from pie_core import AnnotationLayer, annotation_field
-from pie_modules.annotations import LabeledSpan
-from pie_modules.documents import TextBasedDocument, TextDocumentWithLabeledSpans
-from pie_modules.utils.sequence_tagging import tag_sequence_to_token_spans
+from pie_documents.annotations import LabeledSpan
+from pie_documents.documents import TextBasedDocument, TextDocumentWithLabeledSpans
+from pie_documents.utils.sequence_tagging import tag_sequence_to_token_spans
 
 from pie_datasets import GeneratorBasedBuilder
 

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