Create README.md

README.md

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+Dataset for Aerial Vision-and-Dialog Navigation (AVDN)
+
+
+```
+import pandas as pd
+import json
+# Process each CSV file split
+for split in ['train', 'val_seen', 'val_unseen', 'test_unseen']:
+    # Load the CSV data
+    df = pd.read_csv(f'./{split}_full_data.csv')
+    
+    # Initialize a list to hold JSON data
+    json_data = []
+    
+    # Convert each row in the DataFrame back to a dictionary (similar to JSON structure)
+    for _, row in df.iterrows():
+        entry = {
+            'pre_dialogs': [],
+            'map_name': row['map_name'],
+            'route_index': row['route_index'],
+            'instructions': row['instructions'],
+            'gps_botm_left': json.loads(row['gps_botm_left']) if isinstance(row['gps_botm_left'], str) else row['gps_botm_left'],
+            'gps_top_right': json.loads(row['gps_top_right']) if isinstance(row['gps_top_right'], str) else row['gps_top_right'],
+            'lng_ratio': float(row['lng_ratio']),
+            'lat_ratio': float(row['lat_ratio']),
+            'angle': row['angle'],
+            'destination': json.loads(row['destination']) if isinstance(row['destination'], str) else row['destination'],
+            'attention_list': json.loads(row['attention_list']) if isinstance(row['attention_list'], str) else row['attention_list'],
+            'gt_path_corners': json.loads(row['gt_path_corners']) if isinstance(row['gt_path_corners'], str) else row['gt_path_corners']
+        }
+        json_data.append(entry)
+
+    # Save the data to a JSON file
+    json_output_path = f'./{split}_full_data_from_csv_test.json'
+    with open(json_output_path, 'w') as f:
+        json.dump(json_data, f, indent=4)
+```