modify how to import

ner-wikipedia-dataset.py

@@ -4,19 +4,7 @@ import json
 import random
 from typing import Generator
 
-from datasets import (
-    BuilderConfig,
-    DatasetInfo,
-    DownloadManager,
-    Features,
-    GeneratorBasedBuilder,
-    Sequence,
-    Split,
-    SplitGenerator,
-    Value,
-    Version,
-)
-from datasets.data_files import DataFilesDict
+import datasets
 
 _CITATION = """
 @inproceedings{omi-2021-wikipedia,
@@ -33,14 +21,14 @@ _LICENSE = "CC-BY-SA 3.0"
 _URL = "https://raw.githubusercontent.com/stockmarkteam/ner-wikipedia-dataset/main/ner.json"
 
 
-class NerWikipediaDatasetConfig(BuilderConfig):
+class NerWikipediaDatasetConfig(datasets.BuilderConfig):
     def __init__(
         self,
         name: str = "default",
-        version: Version | str | None = Version("0.0.0"),
+        version: datasets.Version | str | None = datasets.Version("0.0.0"),
         data_dir: str | None = None,
-        data_files: DataFilesDict | None = None,
-        description: str | None = None,
+        data_files: datasets.data_files.DataFilesDict | None = None,
+        description: str | None = _DESCRIPTION,
         shuffle: bool = True,
         seed: int = 42,
         train_ratio: float = 0.8,
@@ -59,29 +47,23 @@ class NerWikipediaDatasetConfig(BuilderConfig):
         self.validation_ratio = validation_ratio
 
 
-class NerWikipediaDataset(GeneratorBasedBuilder):
+class NerWikipediaDataset(datasets.GeneratorBasedBuilder):
     BUILDER_CONFIG_CLASS = NerWikipediaDatasetConfig
 
-    BUILDER_CONFIGS = [
-        NerWikipediaDatasetConfig(
-            name="ner-wikipedia-dataset",
-            version=Version("2.0.0"),
+    def _info(self) -> datasets.DatasetInfo:
+        return datasets.DatasetInfo(
             description=_DESCRIPTION,
-        ),
-    ]
-
-    def _info(self) -> DatasetInfo:
-        return DatasetInfo(
-            description=_DESCRIPTION,
-            features=Features(
+            features=datasets.Features(
                 {
-                    "curid": Value("string"),
-                    "text": Value("string"),
+                    "curid": datasets.Value("string"),
+                    "text": datasets.Value("string"),
                     "entities": [
                         {
-                            "name": Value("string"),
-                            "span": Sequence(Value("int64"), length=2),
-                            "type": Value("string"),
+                            "name": datasets.Value("string"),
+                            "span": datasets.Sequence(
+                                datasets.Value("int64"), length=2
+                            ),
+                            "type": datasets.Value("string"),
                         }
                     ],
                 }
@@ -92,8 +74,8 @@ class NerWikipediaDataset(GeneratorBasedBuilder):
         )
 
     def _split_generators(
-        self, dl_manager: DownloadManager
-    ) -> list[SplitGenerator]:
+        self, dl_manager: datasets.DownloadManager
+    ) -> list[datasets.SplitGenerator]:
         dataset_dir = str(dl_manager.download_and_extract(_URL))
         with open(dataset_dir, "r", encoding="utf-8") as f:
             data = json.load(f)
@@ -106,21 +88,19 @@ class NerWikipediaDataset(GeneratorBasedBuilder):
         num_train_data = int(num_data * self.config.train_ratio)
         num_validation_data = int(num_data * self.config.validation_ratio)
         train_data = data[:num_train_data]
-        validation_data = data[
-            num_train_data : num_train_data + num_validation_data
-        ]
+        validation_data = data[num_train_data : num_train_data + num_validation_data]
         test_data = data[num_train_data + num_validation_data :]
         return [
-            SplitGenerator(
-                name=Split.TRAIN,
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
                 gen_kwargs={"data": train_data},
             ),
-            SplitGenerator(
-                name=Split.VALIDATION,
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
                 gen_kwargs={"data": validation_data},
             ),
-            SplitGenerator(
-                name=Split.TEST,
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
                 gen_kwargs={"data": test_data},
             ),
         ]