Update testdataset.py

testdataset.py

@@ -93,22 +93,11 @@ class MedNLIDataset(datasets.GeneratorBasedBuilder):
 
     def _info(self) -> datasets.DatasetInfo:
         print(self.config)
-        # if self.config.schema == "source":
-        #     features = datasets.Features(
-        #         {
-        #             "pairID": datasets.Value("string"),
-        #             "gold_label": datasets.Value("string"),
-        #             "sentence1": datasets.Value("string"),
-        #             "sentence2": datasets.Value("string"),
-        #             "sentence1_parse": datasets.Value("string"),
-        #             "sentence2_parse": datasets.Value("string"),
-        #             "sentence1_binary_parse": datasets.Value("string"),
-        #             "sentence2_binary_parse": datasets.Value("string"),
-        #         }
-        #     )
-
-        # elif self.config.schema == "testdataset_te":
-        #     features = entailment_features
+        features = datasets.Features(
+            {
+                "test": datasets.Value("string")
+            }
+        )
 
         return datasets.DatasetInfo(
             description=_DESCRIPTION,
@@ -122,19 +111,6 @@ class MedNLIDataset(datasets.GeneratorBasedBuilder):
         data_dir = self.config.data_dir
         if data_dir is None:
             raise ValueError(
-                "This is a local dataset. Please pass the data_dir kwarg to load_dataset."
-            )
-        # else:
-        #     extract_dir = dl_manager.extract(
-        #         os.path.join(
-        #             self.config.data_dir,
-        #             "mednli-a-natural-language-inference-dataset-for-the-clinical-domain-1.0.0.zip",
-        #         )
-        #     )
-        #     data_dir = os.path.join(
-        #         extract_dir,
-        #         "mednli-a-natural-language-inference-dataset-for-the-clinical-domain-1.0.0",
-        #     )
 
         return [
             datasets.SplitGenerator(