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.gitattributes

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+dataset_0001_of_0003.csv filter=lfs diff=lfs merge=lfs -text
+dataset_0002_of_0003.csv filter=lfs diff=lfs merge=lfs -text
+dataset_0003_of_0003.csv filter=lfs diff=lfs merge=lfs -text

dataset_0001_of_0003.csv

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+version https://git-lfs.github.com/spec/v1
+oid sha256:264da0e7e1ff2202c90e83b118f7f72ea51c601bd15887cf774b31d19f5a2ac9
+size 495379141

dataset_0002_of_0003.csv

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+version https://git-lfs.github.com/spec/v1
+oid sha256:880fc114bf069a918e4612fc1d536152710f067ef6e07316d47953da686c130f
+size 331674526

dataset_0003_of_0003.csv

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+version https://git-lfs.github.com/spec/v1
+oid sha256:fc5027fd8d528e8766f161fdc61fbe5184350c5e17f721dc9b48d4764c8b4651
+size 93598725

dataset_info.json

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+{
+  "name": "The_Stack_Processed-v2",
+  "version": "2.0.0",
+  "total_files": 128738,
+  "num_csvs": 3,
+  "languages": {
+    "Markdown": 10021,
+    "Other": 22636,
+    "JSON": 501,
+    "Python": 19060,
+    "C": 10513,
+    "YAML": 9950,
+    "C++": 9508,
+    "Shell": 9757,
+    "JavaScript": 10093,
+    "HTML": 258,
+    "XML": 157,
+    "Java": 106,
+    "PHP": 9053,
+    "Ruby": 9787,
+    "Swift": 9994
+  },
+  "created_date": "2025-07-09T19:17:25.822827",
+  "format": "csv"
+}

load_csv_dataset.py

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+"""
+Caricamento dataset CSV - The_Stack_Processed-v2
+"""
+
+import csv
+import os
+import json
+
+def load_csv_dataset(data_path=".", language_filter=None, max_files=None):
+    """
+    Carica dataset da file CSV
+    
+    Args:
+        data_path: Path ai file CSV
+        language_filter: Lista linguaggi da includere
+        max_files: Numero massimo di file da caricare
+    
+    Returns:
+        Lista di record
+    """
+    
+    print("🔄 Caricamento dataset CSV...")
+    
+    # Trova file CSV
+    csv_files = sorted([f for f in os.listdir(data_path) if f.endswith('.csv')])
+    print(f"📁 Trovati {len(csv_files)} file CSV")
+    
+    all_records = []
+    loaded_files = 0
+    
+    for csv_file in csv_files:
+        print(f"📂 Caricando {csv_file}")
+        
+        with open(os.path.join(data_path, csv_file), 'r', encoding='utf-8') as f:
+            reader = csv.DictReader(f)
+            
+            for record in reader:
+                # Filtro per linguaggio
+                if language_filter and record['language'] not in language_filter:
+                    continue
+                
+                # Ripristina newlines
+                record['content'] = record['content'].replace('\\n', '\n').replace('\\r', '\r')
+                
+                # Converti tipi
+                record['size_bytes'] = int(record['size_bytes'])
+                record['quality_score'] = float(record['quality_score'])
+                record['complexity'] = float(record['complexity'])
+                record['documentation_ratio'] = float(record['documentation_ratio'])
+                record['stars'] = int(record['stars'])
+                record['is_test'] = record['is_test'].lower() == 'true'
+                
+                all_records.append(record)
+                loaded_files += 1
+                
+                # Limite file se specificato
+                if max_files and loaded_files >= max_files:
+                    break
+            
+            if max_files and loaded_files >= max_files:
+                break
+    
+    print(f"✅ Caricati {len(all_records)} record")
+    return all_records
+
+def get_language_stats(data_path="."):
+    """Statistiche linguaggi"""
+    info_file = os.path.join(data_path, "dataset_info.json")
+    if os.path.exists(info_file):
+        with open(info_file, 'r') as f:
+            info = json.load(f)
+            return info.get('languages', {})
+    return {}
+
+def load_sample(data_path=".", n_samples=10, language=None):
+    """Carica campione veloce"""
+    return load_csv_dataset(data_path, 
+                           language_filter=[language] if language else None, 
+                           max_files=n_samples)
+
+# Esempio
+if __name__ == "__main__":
+    print("📊 Statistiche linguaggi:")
+    stats = get_language_stats()
+    for lang, count in sorted(stats.items(), key=lambda x: x[1], reverse=True)[:10]:
+        print(f"   {lang}: {count:,}")
+    
+    print("\n🚀 Per caricare dataset:")
+    print("   records = load_csv_dataset()")
+    print("\n🎯 Solo Python:")
+    print("   records = load_csv_dataset(language_filter=['Python'])")