Update Mimic4Dataset.py

Mimic4Dataset.py

@@ -767,8 +767,8 @@ class Mimic4Dataset(datasets.GeneratorBasedBuilder):
 ###########################################################ENCODED##################################################################
        
     def _info_encoded(self,X_encoded):
-        keys=list(set(key for item in X_encoded.values() for key in item.keys()))
-        features = datasets.Features({key: self.map_dtype(X_encoded[key].dtype) for key in keys})
+        columns = {col: self.map_dtype(X_encoded[col].dtype) for col in X_encoded.columns}
+        features = datasets.Features(columns)
         return datasets.DatasetInfo(
             description=_DESCRIPTION,
             features=features,
@@ -789,11 +789,10 @@ class Mimic4Dataset(datasets.GeneratorBasedBuilder):
         df = pd.read_csv(filepath, header=0)
         for i, row in df.iterrows():
             yield i, row.to_dict()
-#############################################################################################################################
-    def _info_deep(self,X_deep_dict):
-        keys= list(X_deep_dict.keys())
-        columns = {col: self.map_dtype(X_deep[col].dtype) for col in X_deep.columns}
-        features = datasets.Features(columns)
+######################################################DEEP###############################################################
+    def _info_deep(self,X_encoded):
+        keys= list(set(key for item in X_encoded.values() for key in item.keys()))
+        features = datasets.Features({key: self.map_dtype(X_encoded[key].dtype) for key in keys})
         return datasets.DatasetInfo(
             description=_DESCRIPTION,
             features=features,
@@ -882,3 +881,4 @@ class Mimic4Dataset(datasets.GeneratorBasedBuilder):
             yield from self._generate_examples_deep(filepath)
         else :
             yield from self._generate_examples_raw(filepath)
+