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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+VehicleWorld.csv filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,114 @@
+---
+license: apache-2.0
+language:
+  - en
+pretty_name: "VehicleWorld Database Snippets"
+tags:
+  - code
+  - simulation
+  - autonomous-driving
+
+# --- 这是驱动数据预览器的关键部分 ---
+dataset_info:
+  features:
+    - name: path
+      dtype: string
+    - name: execute.py
+      dtype: string
+    - name: inits
+      dtype: string
+    - name: modules
+      dtype: string
+    - name: querys
+      dtype: string
+    - name: raw
+      dtype: string
+    - name: worlds.json
+      dtype: string
+  splits:
+    - name: train
+      num_bytes: 155973757 
+      num_examples: 1291 
+  download_size: 155973757 
+  dataset_size: 1291 
+# ------------------------------------
+
+---
+
+# VehicleWorld Database
+Run the following code to convert csv to raw dataset
+
+```python
+import os
+import csv
+import sys
+
+def csv_to_directory(csv_file, target_dir):
+    """
+    Reads a CSV file and creates a directory structure based on its content.
+
+    Args:
+        csv_file (str): The path to the input CSV file.
+        target_dir (str): The path to the target directory where the structure will be created.
+    """
+    if not os.path.isfile(csv_file):
+        # Using sys.stderr for error messages is a good practice.
+        sys.stderr.write(f"Error: CSV file '{csv_file}' not found.\n")
+        return
+
+    os.makedirs(target_dir, exist_ok=True)
+
+    # Handle large fields in CSV
+    max_int = sys.maxsize
+    while True:
+        try:
+            csv.field_size_limit(max_int)
+            break
+        except OverflowError:
+            max_int = int(max_int / 10)
+
+    try:
+        with open(csv_file, 'r', encoding='utf-8') as csvfile:
+            reader = csv.DictReader(csvfile)
+            
+            if not reader.fieldnames:
+                sys.stderr.write("Error: CSV file is empty or has no header row.\n")
+                return
+                
+            filenames = [header for header in reader.fieldnames if header != 'path']
+            
+            for row in reader:
+                subdir_name = row.get('path')
+                if not subdir_name:
+                    # It's better to inform about skipped rows.
+                    sys.stderr.write("Warning: Skipping a row because 'path' value is missing.\n")
+                    continue
+                
+                full_subdir_path = os.path.join(target_dir, subdir_name)
+                os.makedirs(full_subdir_path, exist_ok=True)
+
+                for filename in filenames:
+                    file_path = os.path.join(full_subdir_path, filename)
+                    content = row.get(filename, "")
+                    
+                    try:
+                        with open(file_path, 'w', encoding='utf-8') as f:
+                            f.write(content)
+                    except IOError as e:
+                        sys.stderr.write(f"Error: Could not write to file '{file_path}': {e}\n")
+                        
+    except Exception as e:
+        sys.stderr.write(f"An unexpected error occurred while processing the CSV file: {e}\n")
+
+if __name__ == "__main__":
+    # It is recommended to use command-line arguments for file paths
+    # for better script reusability.
+    if len(sys.argv) != 3:
+        print("Usage: python your_script_name.py <path_to_csv> <target_directory>")
+        sys.exit(1)
+        
+    csv_input_file = sys.argv[1]
+    output_directory = sys.argv[2]
+
+    csv_to_directory(csv_input_file, output_directory)
+```

VehicleWorld.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1cf256b172155b7244219920b282a6b5e4aa9054f21d6168d1c1a94cf13a125e
+size 155973743