Update README.md

README.md

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+---
+language:
+  - en
+license: apache-2.0  
+tags:
+  - video-anomaly-detection
+  - computer-vision
+  - temporal-action-localization
+  - ucf-crime
+  - i3d-features
+datasets:
+  - sultani/real-world-anomaly-detection-in-surveillance-videos  
+task_categories:
+  - video-classification
+size_categories:
+  - 1GB<n 
+pretty_name: UCF-Crime I3D Features
+pipeline_tag: video-classification  
+widget:
+  - example_title: Example Video Features
+    example_code: |
+      import h5py
+      import numpy as np
+      with h5py.File('ucf_crime_features_labeled.h5', 'r') as f:
+          features = np.array(f['Abuse/Abuse001_x264/features'][:10])  
+          labels = np.array(f['Abuse/Abuse001_x264/labels'][:10])
+      print("Features shape:", features.shape)
+      print("Labels:", labels)
+subdir_list:
+  - abuse
+  - arrest
+  - assault
+  - arrest_features
+  - arson_features
+  - assault_features
+  - burglary_features
+  - explosion_features
+  - fighting_features 
+  - normal_features
+  - roadaccidents_features
+  - robbery_features
+  - shooting_features
+  - shoplifting_features
+  - stealing_features
+  - vandalism_features
+  
+data_files:
+  - train: ucf_crime_features_labeled.h5  # Single file with splits via metadata
+  - validation: ucf_crime_features_labeled.h5
+  - test: ucf_crime_features_labeled.h5
+---
+
+
 
 # UCF-Crime: Precomputed I3D Features with Temporal Annotations