Create imdb.py

imdb.py

@@ -0,0 +1,55 @@
+from dataclasses import dataclass
+
+import pytorch_ie.data.builder
+from pytorch_ie.annotations import Label
+from pytorch_ie.core import AnnotationList, annotation_field
+from pytorch_ie.documents import TextDocument
+
+import datasets
+
+
+class ImdbConfig(datasets.BuilderConfig):
+    """BuilderConfig for IMDB"""
+
+    def __init__(self, **kwargs):
+        """BuilderConfig for IMDB.
+        Args:
+          **kwargs: keyword arguments forwarded to super.
+        """
+        super().__init__(**kwargs)
+
+
+@dataclass
+class ImdbDocument(TextDocument):
+    label: AnnotationList[Label] = annotation_field()
+
+
+class Imdb(pytorch_ie.data.builder.GeneratorBasedBuilder):
+    DOCUMENT_TYPE = ImdbDocument
+
+    BASE_DATASET_PATH = "imdb"
+
+    BUILDER_CONFIGS = [
+        ImdbConfig(
+            name="plain_text",
+            version=datasets.Version("1.0.0"),
+            description="IMDB sentiment classification dataset",
+        ),
+    ]
+
+    def _generate_document_kwargs(self, dataset):
+        return {"int2str": dataset.features["label"].int2str}
+
+    def _generate_document(self, example, int2str):
+
+        text = example["text"]
+        document = ImdbDocument(text=text)
+        label_id = example["label"]
+        if label_id < 0:
+            return document
+
+        label = int2str(label_id)
+        label_annotation = Label(label=label)
+        document.label.append(label_annotation)
+
+        return document