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Commit from https://github.com/huggingface/datasets/pie/commit/44e2b49f756ae55906addbd4cbcb339698ea0e7c

dummy/germeval_14/2.0.0/dummy_data.zip

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+version https://git-lfs.github.com/spec/v1
+oid sha256:43927bbe42ad2e816c846698795af3706e9f650b28e2e692024d9a03616c85f6
+size 12583

germeval_14.py

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+from dataclasses import dataclass
+
+import datasets
+import pytorch_ie.data.builder
+from pytorch_ie.annotations import LabeledSpan
+from pytorch_ie.core import AnnotationList, annotation_field
+from pytorch_ie.documents import TextDocument
+from pytorch_ie.utils.span import tokens_and_tags_to_text_and_labeled_spans
+
+
+class GermEval14Config(datasets.BuilderConfig):
+    """BuilderConfig for GermEval 2014."""
+
+    def __init__(self, **kwargs):
+        """BuilderConfig for GermEval 2014.
+        Args:
+          **kwargs: keyword arguments forwarded to super.
+        """
+        super().__init__(**kwargs)
+
+
+@dataclass
+class GermEval14Document(TextDocument):
+    entities: AnnotationList[LabeledSpan] = annotation_field(target="text")
+
+
+class GermEval14(pytorch_ie.data.builder.GeneratorBasedBuilder):
+    DOCUMENT_TYPE = GermEval14Document
+
+    BASE_DATASET_PATH = "germeval_14"
+
+    BUILDER_CONFIGS = [
+        GermEval14Config(
+            name="germeval_14",
+            version=datasets.Version("2.0.0"),
+            description="GermEval 2014 NER Shared Task dataset",
+        ),
+    ]
+
+    def _generate_document_kwargs(self, dataset):
+        return {"int_to_str": dataset.features["ner_tags"].feature.int2str}
+
+    def _generate_document(self, example, int_to_str):
+        doc_id = example["id"]
+        tokens = example["tokens"]
+        ner_tags = [int_to_str(tag) for tag in example["ner_tags"]]
+        nested_ner_tags = [int_to_str(tag) for tag in example["nested_ner_tags"]]
+
+        text, ner_spans = tokens_and_tags_to_text_and_labeled_spans(tokens=tokens, tags=ner_tags)
+        _, nested_ner_tags = tokens_and_tags_to_text_and_labeled_spans(
+            tokens=tokens, tags=nested_ner_tags
+        )
+
+        document = GermEval14Document(text=text, id=doc_id)
+
+        for span in sorted(ner_spans + nested_ner_tags, key=lambda span: span.start):
+            document.entities.append(span)
+
+        return document