modify the difinition of features

ner-wikipedia-dataset.py

@@ -96,17 +96,17 @@ class NerWikipediaDataset(datasets.GeneratorBasedBuilder):
             # This defines the different columns of the dataset and their types
             features=datasets.Features(
                 {
-                    "curid": datasets.Value("int32"),
+                    "curid": datasets.Value("string"),
                     "text": datasets.Value("string"),
                     "entities": datasets.Sequence(
-                        feature={
+                        {
                             "name": datasets.Value(dtype="string"),
                             "span": datasets.Sequence(
-                                feature=datasets.Value(dtype="int32"), length=2
+                                datasets.Value(dtype="int64"), length=2
                             ),
                             "type": datasets.Value(dtype="string"),
-                        },
-                    )
+                        }
+                    ),
                     # These are the features of your dataset like images, labels ...
                 }
             ),  # Here we define them above because they are different between the two configurations
@@ -149,22 +149,26 @@ class NerWikipediaDataset(datasets.GeneratorBasedBuilder):
         test_data = data[validation_split:]
 
         return [
+            datasets.SplitGenerator(
+                name=datasets.Split.ALL,
+                gen_kwargs={"data": data},
+            ),
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
-                gen_kwargs={"data": train_data, "split": "train"},
+                gen_kwargs={"data": train_data},
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.VALIDATION,
-                gen_kwargs={"data": validation_data, "split": "validation"},
+                gen_kwargs={"data": validation_data},
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.TEST,
-                gen_kwargs={"data": test_data, "split": "test"},
+                gen_kwargs={"data": test_data},
             ),
         ]
 
     # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
-    def _generate_examples(self, data, split):
+    def _generate_examples(self, data):
         # TODO: This method handles input defined in _split_generators to yield (key, example) tuples from the dataset.
         # The `key` is for legacy reasons (tfds) and is not important in itself, but must be unique for each example.
         for key, data in enumerate(data):