yolo

output_dataset.parquet

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ca47ac46bfc9643c362f1e7ff017d807e587320b45e66c147a257421c20cbad6
-size 22455970
+oid sha256:1a670b3dc111fe3c5c2522545ba62b74df0da6beb2b1d413ba574f983728ebdf
+size 22475137

par.py

@@ -4,11 +4,20 @@ import pyarrow as pa
 import pyarrow.parquet as pq
 import argparse
 import re
+import base64
 
 def encode_file(file_path):
-    """Read file content as string."""
-    with open(file_path, 'r', encoding='utf-8') as file:
-        return file.read()
+    """Encode text files or base64 encode image files."""
+    try:
+        if file_path.endswith('.jpg'):
+            with open(file_path, "rb") as image_file:
+                return base64.b64encode(image_file.read()).decode('utf-8')
+        else:
+            with open(file_path, 'r', encoding='utf-8') as file:
+                return file.read()
+    except UnicodeDecodeError as e:
+        print(f"Error decoding file {file_path}: {e}")
+        return None
 
 def extract_images(markdown_content):
     """Extract PHOTO_IDs from markdown files and return as a list."""
@@ -16,40 +25,25 @@ def extract_images(markdown_content):
 
 def collect_data(directory):
     data = []
-    # Debugging: Print directory content
-    print(f"Directory contents: {os.listdir(directory)}")
-
-    # Create a dictionary to map PHOTO_ID to actual image filenames
-    image_files = {}
-    for filename in os.listdir(directory):
-        if filename.endswith('.jpg'):
-            photo_id_match = re.search(r'(\d+)', filename)
-            if photo_id_match:
-                photo_id = photo_id_match.group(1)
-                image_files[photo_id] = filename
-
-    # Debugging: Print image file mappings
-    print(f"Image Files: {image_files}")
+    image_files = {re.search(r'(\d+)', filename).group(1): filename
+                   for filename in os.listdir(directory) if filename.endswith('.jpg')}
 
     for filename in os.listdir(directory):
         problem_id = filename.split('.')[0]
-        row = {'Problem ID': problem_id, 'Images': []}
-        for file in os.listdir(directory):
-            if file.startswith(problem_id):
-                file_type = file.split('.')[-1]
-                file_path = os.path.join(directory, file)
-                if file_type in ['in', 'out', 'sol.md' 'cpp', 'md']:
-                    content = encode_file(file_path)
-                    row[file_type] = content
-                    if file_type in ['md', 'sol.md']:
-                        image_ids = extract_images(content)
-                        # Debugging: Print extracted image IDs
-                        print(f"Extracted Image IDs from {file_path}: {image_ids}")
-                        row['Images'] = [image_files[id] for id in image_ids if id in image_files]
-        data.append(row)
+        if not any(d['Problem ID'] == problem_id for d in data):
+            data.append({'Problem ID': problem_id, 'Images': [], 'in': None, 'out': None, 'cpp': None, 'md': None, 'sol.md': None})
 
-    # Debugging: Print final data before conversion to verify
-    # print(f"Final Data Collected: {data}")
+        current_entry = next(item for item in data if item['Problem ID'] == problem_id)
+        file_type = filename.split('.')[-1]
+        file_path = os.path.join(directory, filename)
+        if file_type in ['in', 'out', 'cpp', 'md', 'sol.md']:
+            content = encode_file(file_path)
+            if content is not None:  # Make sure we successfully read the file
+                current_entry[file_type] = content
+                if file_type in ['md', 'sol.md']:
+                    image_ids = extract_images(content)
+                    current_entry['Images'] += [image_files[id] for id in image_ids if id in image_files]
+                    current_entry['Images'] = list(set(current_entry['Images']))  # Remove duplicates if any
 
     return data