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README.md

@@ -25,23 +25,20 @@ dataset_info:
       list: int64
   splits:
   - name: train
-    num_bytes: 671820
     num_examples: 180
   - name: test
-    num_bytes: 179152
     num_examples: 48
-  download_size: 150622
-  dataset_size: 850972
 ---
 
 
 # Gesture Recognition Dataset
 
 ## Dataset Structure
-- **Labels**: ['Me', 'Thirsty', 'Null', 'Hungry', 'Good', 'Bad']
+- **Labels**: ['Good', 'Null', 'Thirsty', 'Bad', 'Me', 'Hungry']
 - **Format**: Each record contains a 'label' and a 'batch' field
 - **Batch Size**: 30 rows per batch (30 time steps)
 - **Features**: 15 columns per row
+- **Selection Method**: cosine_similarity - Files selected based on similarity to majority pattern
 
 ## Column Information
 Each row in a batch contains 15 values in this order:
@@ -64,7 +61,7 @@ Each row in a batch contains 15 values in this order:
 ## Data Format
 ```python
 {
-    'label': 'gesture_name',  # One of: ['Me', 'Thirsty', 'Null', 'Hungry', 'Good', 'Bad']
+    'label': 'gesture_name',  # One of: ['Good', 'Null', 'Thirsty', 'Bad', 'Me', 'Hungry']
     'batch': [
         [Timestamp,F1, F2, F3, F4, F5, Acc_Fin_x, Acc_Fin_y, Acc_Fin_z, Acc_Palm_x, Acc_Palm_y, Acc_Palm_z, Acc_Arm_x, Acc_Arm_y, Acc_Arm_z],  # Row 1
         [Timestamp,F1, F2, F3, F4, F5, Acc_Fin_x, Acc_Fin_y, Acc_Fin_z, Acc_Palm_x, Acc_Palm_y, Acc_Palm_z, Acc_Arm_x, Acc_Arm_y, Acc_Arm_z],  # Row 2
@@ -79,3 +76,6 @@ Each row in a batch contains 15 values in this order:
 - **Acc_Palm**: Accelerometer on palm (x, y, z axes)  
 - **Acc_Arm**: Accelerometer on arm (x, y, z axes)
 
+## Data Quality
+Files were selected using cosine_similarity to ensure the most representative samples for each gesture class.
+