modify file

ner-wikinews-dataset.py

@@ -1,6 +1,17 @@
 import json
 
-import datasets
+from datasets import (
+    BuilderConfig,
+    DatasetInfo,
+    DownloadManager,
+    Features,
+    GeneratorBasedBuilder,
+    Sequence,
+    Split,
+    SplitGenerator,
+    Value,
+    Version,
+)
 
 _CITATION = ""
 _DESCRIPTION = "This is a dataset of Wikinews articles manually labeled with the named entity label."
@@ -9,29 +20,27 @@ _LICENSE = "This work is licensed under CC BY 2.5"
 _URL = "https://huggingface.co/datasets/llm-book/ner-wikinews-dataset/raw/main/annotated_wikinews.json"
 
 
-class NerWikinewsDataset(datasets.GeneratorBasedBuilder):
+class NerWikinewsDataset(GeneratorBasedBuilder):
     BUILDER_CONFIGS = [
-        datasets.BuilderConfig(
+        BuilderConfig(
             name="new-wikinews-dataset",
-            version=datasets.Version("1.1.0"),
+            version=Version("1.0.0"),
             description=_DESCRIPTION,
         ),
     ]
 
     def _info(self):
-        return datasets.DatasetInfo(
+        return DatasetInfo(
             description=_DESCRIPTION,
-            features=datasets.Features(
+            features=Features(
                 {
-                    "curid": datasets.Value("string"),
-                    "text": datasets.Value("string"),
+                    "curid": Value("string"),
+                    "text": Value("string"),
                     "entities": [
                         {
-                            "name": datasets.Value(dtype="string"),
-                            "span": datasets.Sequence(
-                                datasets.Value(dtype="int64"), length=2
-                            ),
-                            "type": datasets.Value(dtype="string"),
+                            "name": Value("string"),
+                            "span": Sequence(Value("int64"), length=2),
+                            "type": Value("string"),
                         }
                     ],
                 }
@@ -72,24 +81,24 @@ class NerWikinewsDataset(datasets.GeneratorBasedBuilder):
             )
         return outputs
 
-    def _split_generators(self, dl_manager):
+    def _split_generators(
+        self, dl_manager: DownloadManager
+    ) -> list[SplitGenerator]:
         data_file = dl_manager.download_and_extract(_URL)
         with open(data_file, "r") as f:
             data = json.load(f)
-
         data = self._convert_data_format(data)
-
         return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
+            SplitGenerator(
+                name=Split.TEST,
                 gen_kwargs={"data": data},
             ),
         ]
 
-    def _generate_examples(self, data):
-        for key, data in enumerate(data):
+    def _generate_examples(self, data: list[dict[str, str]]) -> Generator:
+        for key, d in enumerate(data):
             yield key, {
-                "curid": data["curid"],
-                "text": data["text"],
-                "entities": data["entities"],
+                "curid": d["curid"],
+                "text": d["text"],
+                "entities": d["entities"],
             }