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cleaning_metadata.json

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+{
+  "dataset_info": {
+    "source": "Enron Email Dataset (cleaned)",
+    "processed_date": "2025-06-22T20:30:02.258451",
+    "cleaning_applied": true,
+    "original_files": [
+      "C:\\Users\\jvina\\Documents\\Curso 2024-25\\TFG\\Repositorio\\Unlearning\\pretraining\\datasets\\emails_phillip_allen.jsonl",
+      "C:\\Users\\jvina\\Documents\\Curso 2024-25\\TFG\\Repositorio\\Unlearning\\pretraining\\datasets\\emails_others_part1.jsonl"
+    ],
+    "columns_kept": [
+      "text"
+    ],
+    "format": "JSONL with single 'text' column"
+  },
+  "phillip_allen": {
+    "original_count": 1423,
+    "cleaned_count": 319,
+    "removed_count": 1104,
+    "removal_percentage": 77.58257203092059,
+    "output_file": "C:\\Users\\jvina\\Documents\\Curso 2024-25\\TFG\\Repositorio\\cleaned_datasets\\emails_phillip_allen_cleaned.jsonl",
+    "columns": [
+      "text"
+    ]
+  },
+  "others": {
+    "original_count": 3748,
+    "cleaned_count": 1663,
+    "removed_count": 2085,
+    "removal_percentage": 55.62966915688368,
+    "output_file": "C:\\Users\\jvina\\Documents\\Curso 2024-25\\TFG\\Repositorio\\cleaned_datasets\\emails_others_cleaned.jsonl",
+    "columns": [
+      "text"
+    ]
+  },
+  "cleaning_steps": [
+    "Eliminación de valores NaN en columna 'text'",
+    "Eliminación de textos vacíos",
+    "Eliminación de strings 'nan'/'null'",
+    "Filtrado por longitud (10-2000 caracteres)",
+    "Limpieza de caracteres problemáticos",
+    "Eliminación de duplicados exactos",
+    "Validación de estructura de email",
+    "Mantener solo columna 'text'"
+  ]
+}