Update renovation.py

renovation.py

@@ -1,5 +1,6 @@
 import os
 import glob
+import random
 
 import datasets
 from datasets.tasks import ImageClassification
@@ -51,23 +52,34 @@ class Renovations(datasets.GeneratorBasedBuilder):
 
     def _split_generators(self, dl_manager):
         data_files = dl_manager.download_and_extract(_URLS)
+        files = glob.glob(data_files["cheap"] + '/*.jpeg', recursive=True) + \
+                glob.glob(data_files["average"] + '/*.jpeg', recursive=True) + \
+                glob.glob(data_files["expensive"] + '/*.jpeg', recursive=True)
+
+        # Shuffle files
+        random.shuffle(files)
+        num_files = len(files)
+        train_files = files[:int(num_files*0.7)]
+        val_files = files[int(num_files*0.7):int(num_files*0.85)]
+        test_files = files[int(num_files*0.85):]
+
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
                 gen_kwargs={
-                    "files": glob.glob(data_files["cheap"] + '/*.jpeg', recursive=True),
+                    "files": train_files,
                 },
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.VALIDATION,
                 gen_kwargs={
-                    "files": glob.glob(data_files["average"] + '/*.jpeg', recursive=True),
+                    "files": val_files,
                 },
             ),
             datasets.SplitGenerator(
                 name=datasets.Split.TEST,
                 gen_kwargs={
-                    "files": glob.glob(data_files["expensive"] + '/*.jpeg', recursive=True),
+                    "files": test_files,
                 },
             ),
         ]