Update script to hub

Boat_dataset.py

@@ -138,14 +138,14 @@ class BoatDataset(datasets.GeneratorBasedBuilder):
                     "split": "val",
                 },
             ),
-            # datasets.SplitGenerator(
-            #     name=datasets.Split.VALIDATION,
-            #     # These kwargs will be passed to _generate_examples
-            #     gen_kwargs={
-            #         "filepath": os.path.join(data_dir, "instances_val2023r.jsonl"),
-            #         "split": "val_real",
-            #     },
-            # ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                # These kwargs will be passed to _generate_examples
+                gen_kwargs={
+                    "filepath": os.path.join(data_dir, "instances_val2023r.jsonl"),
+                    "split": "val_real",
+                },
+            ),
             # datasets.SplitGenerator(
             #     name=datasets.Split.TEST,
             #     # These kwargs will be passed to _generate_examples
@@ -161,8 +161,15 @@ class BoatDataset(datasets.GeneratorBasedBuilder):
         # 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):
-                data = json.loads(row)
+            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"],