Update kptimes.py

kptimes.py

@@ -74,8 +74,7 @@ class KPTimes(datasets.GeneratorBasedBuilder):
                     "doc_bio_tags": datasets.features.Sequence(datasets.Value("string")),
                     "extractive_keyphrases": datasets.features.Sequence(datasets.Value("string")),
                     "abstractive_keyphrases": datasets.features.Sequence(datasets.Value("string")),
-                    "other_metadata": datasets.features.Sequence(
-                        {
+                    "other_metadata": {
                             "id": datasets.Value("string"),
                             "categories": [datasets.Value("string")],
                             "date": datasets.Value("string"),
@@ -83,8 +82,6 @@ class KPTimes(datasets.GeneratorBasedBuilder):
                             "abstract": datasets.Value("string"),
                             "keyword": datasets.Value("string"),
                         }
-                    )
-
                 }
             )
         return datasets.DatasetInfo(
@@ -103,22 +100,22 @@ class KPTimes(datasets.GeneratorBasedBuilder):
 
         data_dir = dl_manager.download_and_extract(_URLS)
         return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={
-                    "filepath": data_dir['train'],
-                    "split": "train",
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                # These kwargs will be passed to _generate_examples
-                gen_kwargs={
-                    "filepath": data_dir['test'],
-                    "split": "test"
-                },
-            ),
+            # datasets.SplitGenerator(
+            #     name=datasets.Split.TRAIN,
+            #     # These kwargs will be passed to _generate_examples
+            #     gen_kwargs={
+            #         "filepath": data_dir['train'],
+            #         "split": "train",
+            #     },
+            # ),
+            # datasets.SplitGenerator(
+            #     name=datasets.Split.TEST,
+            #     # These kwargs will be passed to _generate_examples
+            #     gen_kwargs={
+            #         "filepath": data_dir['test'],
+            #         "split": "test"
+            #     },
+            # ),
             datasets.SplitGenerator(
                 name=datasets.Split.VALIDATION,
                 # These kwargs will be passed to _generate_examples