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

@@ -15,14 +15,14 @@ in order to support clinicians' daily tasks in information finding and evidence-
 ```python
 from pie_datasets import load_dataset
 from pie_datasets.builders.brat import BratDocumentWithMergedSpans
-from pie_modules.documents import TextDocumentWithLabeledSpansAndBinaryRelations
+from pie_documents.documents import TextDocumentWithLabeledSpansAndBinaryRelations
 
 # load default version
 dataset = load_dataset("pie/abstrct")
 assert isinstance(dataset["neoplasm_train"][0], BratDocumentWithMergedSpans)
 
 # if required, normalize the document type (see section Document Converters below)
-dataset_converted = dataset.to_document_type("pie_modules.documents.TextDocumentWithLabeledSpansAndBinaryRelations")
+dataset_converted = dataset.to_document_type("pie_documents.documents.TextDocumentWithLabeledSpansAndBinaryRelations")
 assert isinstance(dataset_converted["neoplasm_train"][0], TextDocumentWithLabeledSpansAndBinaryRelations)
 
 # get first relation in the first document
@@ -57,13 +57,13 @@ See [PIE-Brat Data Schema](https://huggingface.co/datasets/pie/brat#data-schema)
 
 The dataset provides document converters for the following target document types:
 
-- `pie_modules.documents.TextDocumentWithLabeledSpansAndBinaryRelations`
+- `pie_documents.documents.TextDocumentWithLabeledSpansAndBinaryRelations`
   - `LabeledSpans`, converted from `BratDocumentWithMergedSpans`'s `spans`
     - labels: `MajorClaim`, `Claim`, `Premise`
   - `BinraryRelations`, converted from `BratDocumentWithMergedSpans`'s `relations`
     - labels: `Support`, `Partial-Attack`, `Attack`
 
-See [here](https://github.com/ArneBinder/pie-modules/blob/main/src/pie_modules/documents.py) for the document type definitions.
+See [here](https://github.com/ArneBinder/pie-documents/blob/main/src/pie_documents/documents.py) for the document type definitions.
 
 ### Data Splits
 
@@ -142,7 +142,7 @@ input:
   revision: 277dc703fd78614635e86fe57c636b54931538b2
 ```
 
-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
 

abstrct.py

@@ -1,4 +1,4 @@
-from pie_modules.documents import TextDocumentWithLabeledSpansAndBinaryRelations
+from pie_documents.documents import TextDocumentWithLabeledSpansAndBinaryRelations
 
 from pie_datasets.builders import BratBuilder, BratConfig
 from pie_datasets.builders.brat import BratDocumentWithMergedSpans

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