Update README.md

README.md

@@ -1,19 +1,10 @@
 ---
 license: cc-by-nc-sa-4.0
-task_categories:
-  - object-detection
-task_ids:
-  - 3d-object-detection
 tags:
   - fiftyone
   - multimodal
   - autonomous-driving
   - lidar
-  - radar
-  - camera
-  - 3d-bounding-boxes
-  - long-range-perception
-  - sensor-fusion
   - mcap
 pretty_name: aiMotive Multimodal Dataset
 size_categories:
@@ -41,28 +32,19 @@ dataset_summary: >
 
   ```python
   import fiftyone as fo
-  from huggingface_hub import snapshot_download
-
-  # Download the dataset snapshot to the current working directory
-  snapshot_download(
-      repo_id="harpreetsahota/aimotive-multimodal",
-      local_dir=".",
-      repo_type="dataset",
-  )
-
-  # Load dataset from current directory using FiftyOne's native format
-  dataset = fo.Dataset.from_dir(
-      dataset_dir=".",
-      dataset_type=fo.types.FiftyOneDataset,
-      name="aimotive-multimodal",
-  )
-
+  from fiftyone.utils.huggingface import load_from_hub
+  
+  # Load the dataset
+  dataset = load_from_hub("Voxel51/aimotive-multimodal")
+  
   # Launch the App
   session = fo.launch_app(dataset)
+
   ```
 ---
 
 # Dataset Card for aiMotive Multimodal Dataset
+![preview](aimotive.gif)
 
 The aiMotive Multimodal Dataset is a 176-scene autonomous driving dataset
 with synchronized and calibrated LiDAR, camera, and radar sensors providing
@@ -86,21 +68,10 @@ pip install -U fiftyone
 
 ```python
 import fiftyone as fo
-from huggingface_hub import snapshot_download
-
-# Download the dataset snapshot to the current working directory
-snapshot_download(
-    repo_id="harpreetsahota/aimotive-multimodal",
-    local_dir=".",
-    repo_type="dataset",
-)
-
-# Load dataset from current directory using FiftyOne's native format
-dataset = fo.Dataset.from_dir(
-    dataset_dir=".",
-    dataset_type=fo.types.FiftyOneDataset,
-    name="aimotive-multimodal",
-)
+from fiftyone.utils.huggingface import load_from_hub
+
+# Load the dataset
+dataset = load_from_hub("Voxel51/aimotive-multimodal")
 
 # Launch the App
 session = fo.launch_app(dataset)