fix: artifacts saving and dataset loading

misc/__init__.py

@@ -1,8 +1,8 @@
 import csv
+import io
 import json
 import os
 import pickle
-from datetime import datetime
 from typing import Optional
 
 # Paths
@@ -16,6 +16,7 @@ GENDER_RESULT_DIR = os.path.join(ROOT_DIR, 'gender', 'results')
 NER_MODELS_DIR = os.path.join(MODELS_DIR, 'ner')
 NER_RESULT_DIR = os.path.join(ROOT_DIR, 'ner', 'results')
 
+
 def clean_spacing(filename: str) -> Optional[str]:
     try:
         with open(os.path.join(DATA_DIR, filename), 'r', encoding='utf8') as f:
@@ -42,14 +43,27 @@ def save_csv_dataset(data: list, path: str) -> None:
 def load_csv_dataset(path: str, limit: int = None) -> list:
     print(f">> Loading CSV dataset from {path}")
     data = []
-    with open(os.path.join(DATA_DIR, path), "r", encoding="utf-8") as f:
-        reader = csv.DictReader(f)
-        for row in reader:
-            data.append(row)
-            if limit and len(data) >= limit:
-                break
+    encodings = ['utf-8', 'utf-16', 'latin1']
 
-    return data
+    for enc in encodings:
+        try:
+            with open(os.path.join(DATA_DIR, path), "r", encoding=enc, errors="replace") as f:
+                raw_text = f.read().replace('\x00', '')
+
+            csv_buffer = io.StringIO(raw_text)
+            reader = csv.DictReader(csv_buffer)
+            print(f">> Detected fieldnames: {reader.fieldnames}")
+
+            for row in reader:
+                data.append(row)
+                if limit and len(data) >= limit:
+                    break
+            print(f">> Successfully loaded with encoding: {enc}")
+            return data
+        except Exception as e:
+            print(f">> Failed with encoding: {enc}, error: {e}")
+
+    raise UnicodeDecodeError("load_csv_dataset", path, 0, 0, "Unable to decode file with common encodings.")
 
 
 def save_json_dataset(data: list, path: str) -> None:
@@ -63,6 +77,7 @@ def save_pickle(obj, path):
     with open(path, "wb") as f:
         pickle.dump(obj, f)
 
+
 def load_pickle(path: str):
     with open(path, "rb") as f:
-        return pickle.load(f)
+        return pickle.load(f)