Upload conll2003.py

conll2003.py

@@ -2,15 +2,17 @@ from dataclasses import dataclass
 
 import datasets
 import pytorch_ie.data.builder
-from pytorch_ie import AnnotationList, LabeledSpan, TextDocument, annotation_field
-from pytorch_ie.utils.span import bio_tags_to_spans
+from pytorch_ie import AnnotationList, annotation_field
+from pytorch_ie.annotations import LabeledSpan
+from pytorch_ie.documents import TextDocument
+from pytorch_ie.utils.span import tokens_and_tags_to_text_and_labeled_spans
 
 
-class Conll2003Config(datasets.BuilderConfig):
-    """BuilderConfig for Conll2003"""
+class CoNLL2003Config(datasets.BuilderConfig):
+    """BuilderConfig for CoNLL2003"""
 
     def __init__(self, **kwargs):
-        """BuilderConfig forConll2003.
+        """BuilderConfig for CoNLL2003.
         Args:
           **kwargs: keyword arguments forwarded to super.
         """
@@ -28,8 +30,8 @@ class Conll2003(pytorch_ie.data.builder.GeneratorBasedBuilder):
     BASE_DATASET_PATH = "conll2003"
 
     BUILDER_CONFIGS = [
-        Conll2003Config(
-            name="conll2003", version=datasets.Version("1.0.0"), description="Conll2003 dataset"
+        CoNLL2003Config(
+            name="conll2003", version=datasets.Version("1.0.0"), description="CoNLL2003 dataset"
         ),
     ]
 
@@ -39,26 +41,13 @@ class Conll2003(pytorch_ie.data.builder.GeneratorBasedBuilder):
     def _generate_document(self, example, int_to_str):
         doc_id = example["id"]
         tokens = example["tokens"]
-        ner_tags = example["ner_tags"]
+        ner_tags = [int_to_str(tag) for tag in example["ner_tags"]]
 
-        start = 0
-        token_offsets = []
-        tag_sequence = []
-        for token, tag_id in zip(tokens, ner_tags):
-            end = start + len(token)
-            token_offsets.append((start, end))
-            tag_sequence.append(int_to_str(tag_id))
-
-            start = end + 1
-
-        text = " ".join(tokens)
-        spans = bio_tags_to_spans(tag_sequence)
+        text, ner_spans = tokens_and_tags_to_text_and_labeled_spans(tokens=tokens, tags=ner_tags)
 
         document = CoNLL2003Document(text=text, id=doc_id)
 
-        for label, (start, end) in spans:
-            start_offset = token_offsets[start][0]
-            end_offset = token_offsets[end][1]
-            document.entities.append(LabeledSpan(start=start_offset, end=end_offset, label=label))
+        for span in sorted(ner_spans, key=lambda span: span.start):
+            document.entities.append(span)
 
         return document