Update Mimic4Dataset.py

Mimic4Dataset.py

@@ -793,16 +793,6 @@ class Mimic4Dataset(datasets.GeneratorBasedBuilder):
             citation=_CITATION,
         )
 
-    def __split_generators_raw(self):
-        
-        csv_dir = "./data/dict/"+self.config.name.replace(" ","_")
-
-        return [
-            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": csv_dir+'/train_data.pkl'}),
-            datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": csv_dir+'/val_data.pkl'}),
-            datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": csv_dir+'/test_data.pkl'}),
-        ]
-
     def _generate_examples_raw(self, filepath):
         with open(filepath, 'rb') as fp:
             dataDic = pickle.load(fp)
@@ -950,14 +940,6 @@ class Mimic4Dataset(datasets.GeneratorBasedBuilder):
             citation=_CITATION,
         )
 
-    def __split_generators_deep(self):
-        data_dir = "./data/dict/"+self.config.name.replace(" ","_")
-
-        return [
-            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": data_dir+'/X_train_deep.pkl'}),
-            datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": data_dir+'/X_val_deep.pkl'}),
-            datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": data_dir+'/X_test_deep.pkl'}),
-            ]
     
     def _generate_examples_deep(self, filepath):
         with open(filepath, 'rb') as fp:
@@ -965,7 +947,7 @@ class Mimic4Dataset(datasets.GeneratorBasedBuilder):
         task=self.config.name.replace(" ","_")
         if 'Custom' in task:
             task = task.rsplit('_', 1)[0]
-        for key, data in tqdm(dico.items(),desc='Encoding Splits Data for '+task+' task'):
+        for key, data in dico.items():
             stat, demo, meds, chart, out, proc, lab, y = getXY_deep(data, task, self.feat_cond,  self.feat_proc,  self.feat_out,  self.feat_chart, self.feat_meds)
             yield int(key), {
                 'label': y,
@@ -991,14 +973,15 @@ class Mimic4Dataset(datasets.GeneratorBasedBuilder):
         else:
             return self._info_raw()
 
-    def _split_generators(self, dl_manager):
-        if self.encoding == 'onehot' :
-            return self.__split_generators_encoded()
 
-        elif self.encoding == 'deep' :
-            return self.__split_generators_raw()
-        else:
-            return self.__split_generators_raw()
+    def _split_generators(self,):
+        csv_dir = "./data/dict/"+self.config.name.replace(" ","_")
+
+        return [
+            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": csv_dir+'/train_data.pkl'}),
+            datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": csv_dir+'/val_data.pkl'}),
+            datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": csv_dir+'/test_data.pkl'}),
+        ]
 
     def _generate_examples(self, filepath):