Update CLEVR-Sudoku.py

CLEVR-Sudoku.py

@@ -64,15 +64,13 @@ class CLEVRSudoku(datasets.GeneratorBasedBuilder):
             description=_DESCRIPTION,
             features=datasets.Features(
                 {
-                    # TODO: Add features
-                    # "sudoku": datasets.Array2D(shape=(9, 9), dtype=datasets.Image()),
                     "sudoku": datasets.Sequence(datasets.Sequence(datasets.Image())),
-                    # "options": datasets.Array2D(shape=(9, 10), dtype=datasets.Image()),
+                    "options": datasets.Sequence(datasets.Sequence(datasets.Image())),
                     # # attributes as dict of features
-                    # "attributes": {
-                    #     "key": datasets.Value("int32"),
-                    #     "value": datasets.Sequence(datasets.Value("string"))
-                    # },
+                    "attributes": {
+                        "key": datasets.Value("int32"),
+                        "value": datasets.Sequence(datasets.Value("string"))
+                    },
                     "id": datasets.Value("int32"),
                     "solution": datasets.Sequence(datasets.Sequence(datasets.Value("int32"))),
                 }
@@ -179,12 +177,18 @@ class CLEVRSudoku(datasets.GeneratorBasedBuilder):
             sudoku_images = json_content.get("images")
             sudoku_images = [os.path.join(image_path, x) if x is not None else None for row in sudoku_images for x in row]
             sudoku_images = [sudoku_images[i:i+9] for i in range(0, len(sudoku_images), 9)]
-            
+
+            # option image paths
+            option_images = json_content.get("options")
+            max_options = len(option_images[0])
+            option_images = [os.path.join(image_path, x) if x is not None else None for row in option_images for x in row]
+            option_images = [option_images[i:i+max_options] for i in range(0, len(option_images), max_options)]
+
             # Extract the specific fields from the JSON
             extracted_data = {
                 "sudoku": sudoku_images,
-                # "options": json_content.get("options"),
-                # "attributes": json_content.get("map_number_to_attributes"),
+                "options": option_images,
+                "attributes": json_content.get("map_number_to_attributes"),
                 "file_name": file_name,        # The name of the file inside the archive
                 "id": i,  # Extract the 'id' field
                 "name": json_content.get("name"),  # Extract the 'name' field