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

@@ -7,7 +7,7 @@ This is a [PyTorch-IE](https://github.com/ChristophAlt/pytorch-ie) wrapper for t
 
 ```python
 from pie_datasets import load_dataset
-from pie_modules.documents import TextDocumentWithLabeledSpansAndBinaryRelations
+from pie_documents.documents import TextDocumentWithLabeledSpansAndBinaryRelations
 
 # load English variant
 dataset = load_dataset("pie/cdcp")
@@ -38,20 +38,20 @@ and the following annotation layers:
 - `relations` (annotation type: `BinaryRelation`, target: `propositions`)
 - `urls` (annotation type: `Attribute`, target: `propositions`)
 
-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.TextDocumentWithLabeledSpansAndBinaryRelations`
+- `pie_documents.documents.TextDocumentWithLabeledSpansAndBinaryRelations`
   - `labeled_spans`: `LabeledSpan` annotations, converted from `CDCPDocument`'s `propositions`
     - labels: `fact`, `policy`, `reference`, `testimony`, `value`
     - if `propositions` contain whitespace at the beginning and/or the end, the whitespace are trimmed out.
   - `binary_relations`: `BinaryRelation` annotations, converted from `CDCPDocument`'s `relations`
     - labels: `reason`, `evidence`
 
-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.
 
 ### Collected Statistics after Document Conversion
@@ -75,7 +75,7 @@ input:
   revision: 001722894bdca6df6a472d0d186a3af103e392c5
 ```
 
-For token based metrics, this uses `bert-base-uncased` from `transformer.AutoTokenizer` (see [AutoTokenizer](https://huggingface.co/docs/transformers/v4.37.1/en/model_doc/auto#transformers.AutoTokenizer), and [bert-based-uncased](https://huggingface.co/bert-base-uncased) to tokenize `text` in `TextDocumentWithLabeledSpansAndBinaryRelations` (see [document type](https://github.com/ArneBinder/pie-modules/blob/main/src/pie_modules/documents.py)).
+For token based metrics, this uses `bert-base-uncased` from `transformer.AutoTokenizer` (see [AutoTokenizer](https://huggingface.co/docs/transformers/v4.37.1/en/model_doc/auto#transformers.AutoTokenizer), and [bert-based-uncased](https://huggingface.co/bert-base-uncased) to tokenize `text` in `TextDocumentWithLabeledSpansAndBinaryRelations` (see [document type](https://github.com/ArneBinder/pie-documents/blob/main/src/pie_documents/documents.py)).
 
 #### Relation argument (outer) token distance per label
 

cdcp.py

@@ -4,9 +4,9 @@ from typing import Any, Dict, List, Optional
 
 import datasets
 from pie_core import Annotation, AnnotationLayer, annotation_field
-from pie_modules.annotations import BinaryRelation, LabeledSpan
-from pie_modules.document.processing.text_span_trimmer import trim_text_spans
-from pie_modules.documents import (
+from pie_documents.annotations import BinaryRelation, LabeledSpan
+from pie_documents.document.processing.text_span_trimmer import trim_text_spans
+from pie_documents.documents import (
     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