Delete alignments/clean_up_csv.py

alignments/clean_up_csv.py

@@ -1,42 +0,0 @@
-import pandas as pd
-import os
-
-# Read the original CSV
-alignment = pd.read_csv("alignments/all_de_en_alligned.csv", index_col=0)
-
-# Create mapping of book numbers to English folder names
-en_folder_map = {}
-for folder in os.listdir("EN"):
-    book_id = folder.split('.')[0]
-    en_folder_map[book_id] = folder
-
-# Function to construct full German audio path
-def get_de_path(row):
-    if "67" in row['book']:
-        return os.path.join("DE","67.frankenstein_de_1211_librivox_newly_alligned", "sentence_level_audio", row['DE_audio'])
-    return os.path.join("DE", row['book'], "sentence_level_audio", row['DE_audio'])
-
-# Function to construct full English audio path
-def get_en_path(row):
-    book_id = str(row['book_id'])
-    if book_id in en_folder_map:
-        return os.path.join("EN", en_folder_map[book_id], "sentence_level_audio", row['EN_audio'] + ".wav")
-    return None
-
-# Update paths in the DataFrame
-alignment['DE_audio'] = alignment.apply(get_de_path, axis=1)
-alignment['EN_audio'] = alignment.apply(get_en_path, axis=1)
-
-# Drop the 'book' column since paths are now complete
-alignment = alignment.drop('book', axis=1)
-
-# Drop rows where EN_audio path couldn't be constructed (book_id not found)
-alignment = alignment.dropna(subset=['EN_audio'])
-
-# Save the cleaned up csv
-alignment.to_csv("alignments/all_de_en_alligned_cleaned.csv", index=False)
-
-print(f"Saved cleaned CSV with {len(alignment)} rows")
-print("\nFirst few rows of cleaned CSV:")
-print(alignment.head())
-