Update script to hub

Boat_dataset.py

@@ -158,28 +158,47 @@ class BoatDataset(datasets.GeneratorBasedBuilder):
 
     # method parameters are unpacked from `gen_kwargs` as given in `_split_generators`
     def _generate_examples(self, filepath, split):
-        # TODO: This method handles input defined in _split_generators to yield (key, example) tuples from the dataset.
-        # The `key` is for legacy reasons (tfds) and is not important in itself, but must be unique for each example.
         with open(filepath, encoding="utf-8") as f:
-            for key, row in enumerate(f, 1):  # Start enumeration at 1 for line numbers
+            for key, row in enumerate(f):
+                if not row.strip():  # Skip empty lines
+                    continue
                 try:
                     data = json.loads(row)
-                    # Your existing processing logic here
+                    # Proceed to use 'data' for generating examples
+                    yield key, {
+                        "image_id": data["image_id"],
+                        "file_name": data["file_name"],
+                        "width": data["width"],
+                        "height": data["height"],
+                        "objects": data["objects"],
+                    }
                 except json.JSONDecodeError:
-                    print(f"Skipping invalid JSON at line {key}")
+                    print(f"Skipping invalid JSON at line {key + 1}: {row}")
                     continue
-                # for key, row in enumerate(f):
-                #     data = json.loads(row)
-
-                yield key, {
-                    "image_id": data["image_id"],
-                    "file_name": data["file_name"],
-                    "width": data["width"],
-                    "height": data["height"],
-                    "objects": {
-                        "id": data["objects"]["id"],
-                        "area": data["objects"]["area"],
-                        "bbox": data["objects"]["bbox"],
-                        "category": data["objects"]["category"],
-                    },
-                }
+
+    # def _generate_examples(self, filepath, split):
+    #     # TODO: This method handles input defined in _split_generators to yield (key, example) tuples from the dataset.
+    #     # The `key` is for legacy reasons (tfds) and is not important in itself, but must be unique for each example.
+    #     with open(filepath, encoding="utf-8") as f:
+    #         for key, row in enumerate(f, 1):  # Start enumeration at 1 for line numbers
+    #             try:
+    #                 data = json.loads(row)
+    #                 # Your existing processing logic here
+    #             except json.JSONDecodeError:
+    #                 print(f"Skipping invalid JSON at line {key}")
+    #                 continue
+    #             # for key, row in enumerate(f):
+    #             #     data = json.loads(row)
+
+    #             yield key, {
+    #                 "image_id": data["image_id"],
+    #                 "file_name": data["file_name"],
+    #                 "width": data["width"],
+    #                 "height": data["height"],
+    #                 "objects": {
+    #                     "id": data["objects"]["id"],
+    #                     "area": data["objects"]["area"],
+    #                     "bbox": data["objects"]["bbox"],
+    #                     "category": data["objects"]["category"],
+    #                 },
+    #             }