Update dataset configuration and loading script

README.md

@@ -44,10 +44,13 @@ To load and preview the dataset:
 ```python
 from datasets import load_dataset
 
+# Load the dataset with trust_remote_code=True
 dataset = load_dataset("shirve13/Demo", trust_remote_code=True)
 print(dataset["train"][0])
 ```
 
+**Note**: Make sure to use `trust_remote_code=True` as this dataset uses a custom loading script.
+
 ## Dataset Loading Script
 
 The dataset uses a custom loading script (`demo.py`) that:

dataset-card.md

@@ -18,6 +18,12 @@ task_categories:
 task_ids:
 - semantic-segmentation
 paperswithcode_id: null
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: visionreasoner_dataset.parquet
+  default: true
 ---
 
 # Dataset Card for VisionReasoner UI Dataset

demo.py

@@ -15,14 +15,14 @@ class Demo(datasets.GeneratorBasedBuilder):
         )
 
     def _split_generators(self, dl_manager):
-        # Get the base path from the dataset repository
+        # Get the data files from the config
+        data_files = dl_manager.download_and_extract(self.config.data_files)
         base_path = dl_manager.download_and_extract(".")
-        parquet_path = os.path.join(base_path, "visionreasoner_dataset.parquet")
         
         return [
             datasets.SplitGenerator(
                 name=datasets.Split.TRAIN,
-                gen_kwargs={"filepath": parquet_path, "base_path": base_path}
+                gen_kwargs={"filepath": data_files["train"], "base_path": base_path}
             ),
         ]