Datasets:
Tasks:
Audio Classification
Modalities:
Audio
Languages:
English
Tags:
audio
music-classification
meter-classification
multi-class-classification
multi-label-classification
License:
Delete Data_cleaning.ipynb
Browse files- Data_cleaning.ipynb +0 -493
Data_cleaning.ipynb
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "d88426e1-fa5b-416a-8af0-e5bfec7450c3",
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"metadata": {},
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"outputs": [],
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"source": [
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"# import os\n",
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"# import shutil\n",
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"\n",
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"# def move_audio_files_to_root(gtzan_root_path):\n",
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"# \"\"\"\n",
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"# Moves all .wav (or .mp3) files from genre subfolders to the root GTZAN folder.\n",
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"\n",
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"# Args:\n",
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"# gtzan_root_path (str): The path to the GTZAN root directory.\n",
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"# \"\"\"\n",
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"# print(f\"Starting to move audio files from subfolders to: {gtzan_root_path}\")\n",
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"\n",
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| 22 |
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"# if not os.path.isdir(gtzan_root_path):\n",
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| 23 |
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"# print(f\"Error: The specified path '{gtzan_root_path}' does not exist or is not a directory.\")\n",
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| 24 |
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"# return\n",
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"\n",
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| 26 |
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"# # Iterate through each item in the GTZAN root directory\n",
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"# for item_name in os.listdir(gtzan_root_path):\n",
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"# item_path = os.path.join(gtzan_root_path, item_name)\n",
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"\n",
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"# # Check if it's a directory (assuming genre folders are directories)\n",
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"# if os.path.isdir(item_path):\n",
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"# genre_folder_path = item_path\n",
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"# print(f\"\\nEntering genre folder: {genre_folder_path}\")\n",
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"\n",
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"# # Iterate through files in the genre folder\n",
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"# for file_name in os.listdir(genre_folder_path):\n",
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"# file_path = os.path.join(genre_folder_path, file_name)\n",
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"\n",
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"# # Check if it's a file and has a .wav or .mp3 extension\n",
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| 40 |
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"# # The user mentioned .wav in the path example and .mp3 in the request.\n",
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| 41 |
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"# # This script will handle both, prioritizing .wav as per the example.\n",
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| 42 |
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"# if os.path.isfile(file_path) and (file_name.endswith('.wav') or file_name.endswith('.mp3')):\n",
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"# destination_path = os.path.join(gtzan_root_path, file_name)\n",
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"\n",
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"# # Handle potential file name collisions\n",
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"# if os.path.exists(destination_path):\n",
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"# print(f\"Warning: File '{file_name}' already exists in the root folder. Skipping move for this file.\")\n",
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| 48 |
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"# else:\n",
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"# try:\n",
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"# shutil.move(file_path, destination_path)\n",
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| 51 |
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"# print(f\"Moved: '{file_path}' -> '{destination_path}'\")\n",
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| 52 |
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"# except Exception as e:\n",
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"# print(f\"Error moving file '{file_name}': {e}\")\n",
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" \n",
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| 55 |
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"# # Optional: Remove the empty genre folder after moving files\n",
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| 56 |
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"# # This is commented out by default to be safe. Uncomment if desired.\n",
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"# # try:\n",
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"# # if not os.listdir(genre_folder_path): # Check if folder is empty\n",
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"# # os.rmdir(genre_folder_path)\n",
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| 60 |
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"# # print(f\"Removed empty folder: {genre_folder_path}\")\n",
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"# # except OSError as e:\n",
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"# # print(f\"Error removing folder {genre_folder_path}: {e}\")\n",
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"\n",
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| 64 |
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"# print(\"\\nScript execution finished.\")\n",
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"\n",
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| 66 |
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"# # --- How to use this script ---\n",
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"# # 1. Save this code as a Python file (e.g., move_gtzan_files.py).\n",
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"# # 2. Replace 'path/to/your/GTZAN' with the actual path to your GTZAN folder.\n",
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"# # Example: If your GTZAN folder is at /Users/YourName/Music/GTZAN,\n",
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"# # then set gtzan_folder = '/Users/YourName/Music/GTZAN'\n",
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"# # 3. Run the script from your terminal: python move_gtzan_files.py\n",
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"\n",
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"# # IMPORTANT: Before running, it is highly recommended to back up your GTZAN folder\n",
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"# # or test this script on a copy of your data to prevent accidental data loss.\n",
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"\n",
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"# # Set the path to your GTZAN root folder here:\n",
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"# # For example:\n",
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"# # gtzan_folder_path = \"/Users/youruser/Documents/GTZAN\"\n",
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"# # Or if it's in the same directory as the script:\n",
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"# # gtzan_folder_path = \"GTZAN\"\n",
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"\n",
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"# # !!! IMPORTANT: Replace 'YOUR_GTZAN_ROOT_PATH_HERE' with the actual path !!!\n",
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"# gtzan_folder_path = 'GTZAN' \n",
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"\n",
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"# # Call the function to move the files\n",
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"# move_audio_files_to_root(gtzan_folder_path)\n",
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"\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "02c0a633-987d-41ac-b36f-c275321cf06c",
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"metadata": {},
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"outputs": [],
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"source": [
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"# import os\n",
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"# import csv\n",
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"\n",
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"# def check_wav_files_against_csvs(gtzan_root_path, csv_file_paths):\n",
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"# \"\"\"\n",
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"# Checks which WAV files in the GTZAN root folder are not listed in any of the provided CSV files.\n",
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"# Also reports which CSV files a WAV file is found in, if it exists.\n",
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"\n",
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"# Args:\n",
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"# gtzan_root_path (str): The path to the GTZAN root directory where WAV files are expected.\n",
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"# csv_file_paths (list): A list of full paths to the CSV files to check against.\n",
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| 108 |
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"# \"\"\"\n",
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"# print(f\"Starting check for WAV files in '{gtzan_root_path}' against {len(csv_file_paths)} CSVs.\")\n",
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"\n",
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"# # Validate GTZAN root path\n",
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"# if not os.path.isdir(gtzan_root_path):\n",
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| 113 |
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"# print(f\"Error: The specified GTZAN path '{gtzan_root_path}' does not exist or is not a directory.\")\n",
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| 114 |
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"# return\n",
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"\n",
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"# # 1. Get all WAV files directly in the GTZAN root folder\n",
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"# gtzan_wav_files_found = set()\n",
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| 118 |
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"# try:\n",
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| 119 |
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"# # Iterate through items in the specified GTZAN root directory\n",
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"# for item_name in os.listdir(gtzan_root_path):\n",
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"# item_path = os.path.join(gtzan_root_path, item_name)\n",
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| 122 |
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"# # Check if it's a file and ends with '.wav'\n",
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"# if os.path.isfile(item_path) and item_name.endswith('.wav'):\n",
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"# gtzan_wav_files_found.add(item_name) # Add just the filename (basename)\n",
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"# except Exception as e:\n",
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"# print(f\"Error reading GTZAN directory '{gtzan_root_path}': {e}\")\n",
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| 127 |
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"# return\n",
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"\n",
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"# if not gtzan_wav_files_found:\n",
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"# print(f\"No .wav files found directly in '{gtzan_root_path}'. Please ensure files are in the root as expected.\")\n",
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"# return\n",
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"\n",
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"# # 2. Process CSVs: Store contents and map WAVs to CSVs\n",
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"# # A dictionary to store which CSV files each WAV basename is found in\n",
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"# # Format: {wav_basename: [csv_filename1, csv_filename2, ...]}\n",
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"# wav_to_csv_map = {}\n",
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"# # A combined set of all WAV basenames found across ALL CSVs for quick lookup\n",
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"# all_csv_files_combined = set()\n",
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"\n",
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"# for csv_path in csv_file_paths:\n",
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"# csv_base_name = os.path.basename(csv_path) # Get just the filename of the CSV\n",
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"\n",
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"# print(f\"Processing CSV: {csv_base_name}\")\n",
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"\n",
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| 145 |
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"# # Validate CSV file path\n",
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"# if not os.path.isfile(csv_path):\n",
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"# print(f\"Warning: CSV file '{csv_path}' not found. Skipping this CSV.\")\n",
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"# continue\n",
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"\n",
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"# try:\n",
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"# with open(csv_path, mode='r', newline='', encoding='utf-8') as file:\n",
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"# reader = csv.reader(file)\n",
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"# header = next(reader, None) # Read the header row\n",
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"\n",
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"# if header is None:\n",
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"# print(f\"Warning: CSV file '{csv_base_name}' is empty or has no header. Skipping.\")\n",
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| 157 |
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"# continue\n",
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"\n",
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| 159 |
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"# # Find the index of the 'filename' column (case-insensitive for robustness)\n",
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"# filename_col_index = -1\n",
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"# for i, col_name in enumerate(header):\n",
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"# if col_name.strip().lower() == 'filename':\n",
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"# filename_col_index = i\n",
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"# break\n",
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"\n",
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"# if filename_col_index == -1:\n",
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"# print(f\"Error: 'filename' column not found in '{csv_base_name}'. Skipping this CSV.\")\n",
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| 168 |
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"# continue\n",
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"\n",
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| 170 |
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"# # Read through each row in the CSV\n",
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"# for row in reader:\n",
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"# if len(row) > filename_col_index:\n",
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"# full_filename_from_csv = row[filename_col_index].strip()\n",
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"# # Extract basename: e.g., '/GTZAN/country.00056.wav' -> 'country.00056.wav'\n",
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"# wav_basename = os.path.basename(full_filename_from_csv)\n",
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" \n",
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"# all_csv_files_combined.add(wav_basename) # Add to the combined set\n",
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"\n",
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"# # Update the map indicating which CSV this WAV file is in\n",
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"# if wav_basename not in wav_to_csv_map:\n",
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| 181 |
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"# wav_to_csv_map[wav_basename] = []\n",
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"# if csv_base_name not in wav_to_csv_map[wav_basename]: # Avoid duplicate CSV entries for a WAV file\n",
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| 183 |
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"# wav_to_csv_map[wav_basename].append(csv_base_name)\n",
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"\n",
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"# except Exception as e:\n",
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| 186 |
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"# print(f\"Error reading CSV file '{csv_path}': {e}\")\n",
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| 187 |
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"# continue\n",
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"\n",
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| 189 |
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"# # 3. Cross-reference and report results\n",
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"# print(\"\\n--- Consistency Check Results ---\")\n",
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"\n",
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"# files_not_in_any_csv = [] # List to hold WAV files found in GTZAN but missing from all CSVs\n",
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"\n",
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"# # Iterate through all WAV files found in the GTZAN folder\n",
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| 195 |
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"# for wav_file_basename in sorted(list(gtzan_wav_files_found)): # Sort for consistent output\n",
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| 196 |
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"# if wav_file_basename not in all_csv_files_combined:\n",
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| 197 |
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"# # If the WAV file is not in our combined set of all CSV filenames\n",
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| 198 |
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"# files_not_in_any_csv.append(wav_file_basename)\n",
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" \n",
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| 200 |
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"# # Report files that are NOT in any CSV\n",
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| 201 |
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"# if files_not_in_any_csv:\n",
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"# print(\"\\n--- WAV files found in GTZAN folder but NOT listed in any CSV file: ---\")\n",
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"# for f in files_not_in_any_csv:\n",
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"# print(f\"- {f}\")\n",
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"# print(len(files_not_in_any_csv))\n",
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"# else:\n",
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| 207 |
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"# print(\"\\nAll WAV files found in the GTZAN folder are listed in at least one CSV file.\")\n",
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" \n",
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"\n",
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| 210 |
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"# print(\"\\nScript execution finished.\")\n",
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"\n",
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"\n",
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| 213 |
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"# # --- How to use this script ---\n",
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"# # 1. Save this code as a Python file (e.g., check_gtzan_data.py).\n",
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| 215 |
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"# # 2. Replace 'YOUR_GTZAN_ROOT_PATH_HERE' with the actual path to your GTZAN folder.\n",
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| 216 |
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"# # 3. Replace 'YOUR_CSV_FOLDER_PATH_HERE' with the actual path to the folder containing your CSV files.\n",
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| 217 |
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"# # If your CSVs are in the same directory as this script, you can use '.' for csv_folder_path.\n",
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| 218 |
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"# # 4. Ensure the list 'csv_filenames' matches the exact names of your CSV files.\n",
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| 219 |
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"# # 5. Uncomment the last line to run the function.\n",
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"# # 6. Run the script from your terminal: python check_gtzan_data.py\n",
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"\n",
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"# # Set the path to your GTZAN root folder here:\n",
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| 223 |
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"# # Example: gtzan_folder_path = \"/Users/youruser/Documents/GTZAN\"\n",
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| 224 |
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"# gtzan_folder_path = 'GTZAN'\n",
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"\n",
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| 226 |
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"# # Set the path to the folder containing your CSV files.\n",
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| 227 |
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"# # Example: csv_folder_path = \"/Users/youruser/Documents/MyData\"\n",
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| 228 |
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"# # Or if CSVs are in the same directory as the script: csv_folder_path = \".\"\n",
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| 229 |
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"# csv_folder_path = '.'\n",
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"\n",
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| 231 |
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"# # List of your CSV file names\n",
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| 232 |
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"# csv_filenames = [\n",
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| 233 |
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"# 'data_test_4_classes.csv',\n",
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| 234 |
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"# 'data_test_2_classes.csv',\n",
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| 235 |
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"# 'data_train_4_classes.csv',\n",
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| 236 |
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"# 'data_train_2_classes.csv',\n",
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| 237 |
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"# 'data_val_4_classes.csv',\n",
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| 238 |
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"# 'data_val_2_classes.csv',\n",
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| 239 |
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"# ]\n",
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"\n",
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| 241 |
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"# # Create full paths for the CSV files\n",
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| 242 |
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"# csv_file_paths = [os.path.join(csv_folder_path, f_name) for f_name in csv_filenames]\n",
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"\n",
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| 244 |
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"# # Call the function to check the files\n",
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| 245 |
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"# # Uncomment the line below to execute the script:\n",
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| 246 |
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"# check_wav_files_against_csvs(gtzan_folder_path, csv_file_paths)\n",
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"\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "9053eb78-c757-4f7b-ad0e-85d306955ddd",
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| 254 |
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"metadata": {},
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| 255 |
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"outputs": [],
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| 256 |
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"source": [
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| 257 |
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"# import os\n",
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| 258 |
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"# import csv\n",
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| 259 |
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"\n",
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| 260 |
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"# def check_data_integrity(root_data_path, csv_folder_path, target_csv_filenames, audio_folders):\n",
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| 261 |
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"# \"\"\"\n",
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| 262 |
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"# Performs data integrity checks on audio files and CSV entries.\n",
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| 263 |
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"\n",
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| 264 |
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"# Checks include:\n",
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| 265 |
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"# 1. Total file count from specific CSVs.\n",
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| 266 |
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"# 2. Duplicate WAV files within specified audio folders.\n",
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| 267 |
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"# 3. Duplicate filenames within specified CSV files.\n",
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| 268 |
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"# 4. Presence of CSV-listed files in their respective folders.\n",
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"\n",
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| 270 |
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"# Args:\n",
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| 271 |
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"# root_data_path (str): The parent directory containing audio folders (e.g., GTZAN, MAG).\n",
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| 272 |
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"# csv_folder_path (str): The path to the directory containing the CSV files.\n",
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| 273 |
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"# target_csv_filenames (list): A list of CSV filenames to check for total count and content.\n",
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| 274 |
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"# audio_folders (list): A list of audio folder names (e.g., ['GTZAN', 'MAG', 'OWN', 'FMA']).\n",
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| 275 |
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"# \"\"\"\n",
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| 276 |
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"# print(f\"--- Starting Data Integrity Check ---\")\n",
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| 277 |
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"# print(f\"Root data path: {root_data_path}\")\n",
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| 278 |
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"# print(f\"CSV folder path: {csv_folder_path}\")\n",
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| 279 |
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"# print(f\"Target CSVs: {', '.join(target_csv_filenames)}\")\n",
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| 280 |
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"# print(f\"Audio folders to check: {', '.join(audio_folders)}\\n\")\n",
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| 281 |
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"\n",
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| 282 |
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"# # --- 1. Check for duplicate WAV files within audio folders ---\n",
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| 283 |
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"# print(\"--- Checking for duplicate WAV files within audio folders ---\")\n",
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| 284 |
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"# folder_wav_files = {} # Stores {folder_name: set_of_wav_basenames}\n",
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" \n",
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| 286 |
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"# for folder_name in audio_folders:\n",
|
| 287 |
-
"# folder_path = os.path.join(root_data_path, folder_name)\n",
|
| 288 |
-
"# if not os.path.isdir(folder_path):\n",
|
| 289 |
-
"# print(f\" Warning: Audio folder '{folder_path}' not found. Skipping duplicate check for this folder.\")\n",
|
| 290 |
-
"# continue\n",
|
| 291 |
-
" \n",
|
| 292 |
-
"# current_folder_files = []\n",
|
| 293 |
-
"# duplicates_in_folder = set()\n",
|
| 294 |
-
"# seen_files = set()\n",
|
| 295 |
-
"\n",
|
| 296 |
-
"# for file_name in os.listdir(folder_path):\n",
|
| 297 |
-
"# if file_name.lower().endswith(\".wav\"): # Case-insensitive check for .wav\n",
|
| 298 |
-
"# if file_name in seen_files:\n",
|
| 299 |
-
"# duplicates_in_folder.add(file_name)\n",
|
| 300 |
-
"# else:\n",
|
| 301 |
-
"# seen_files.add(file_name)\n",
|
| 302 |
-
"# current_folder_files.append(file_name) # Store for later path lookup\n",
|
| 303 |
-
"\n",
|
| 304 |
-
"# folder_wav_files[folder_name] = set(current_folder_files) # Store unique basenames for cross-ref\n",
|
| 305 |
-
"\n",
|
| 306 |
-
"# if duplicates_in_folder:\n",
|
| 307 |
-
"# print(f\" Duplicate WAV files found in '{folder_name}':\")\n",
|
| 308 |
-
"# for dup_file in sorted(list(duplicates_in_folder)):\n",
|
| 309 |
-
"# print(f\" - {dup_file}\")\n",
|
| 310 |
-
"# else:\n",
|
| 311 |
-
"# print(f\" No duplicate WAV files found in '{folder_name}'.\")\n",
|
| 312 |
-
"# print(\"-\" * 60 + \"\\n\")\n",
|
| 313 |
-
"\n",
|
| 314 |
-
"# # --- 2. Check for duplicate filenames in CSVs and total count ---\n",
|
| 315 |
-
"# print(\"--- Checking CSVs for duplicate filenames and total count ---\")\n",
|
| 316 |
-
"# total_csv_entries = 0\n",
|
| 317 |
-
"# csv_file_contents = {} # Stores {csv_filename: [list_of_full_filenames_from_csv]}\n",
|
| 318 |
-
"\n",
|
| 319 |
-
"# for csv_name in target_csv_filenames:\n",
|
| 320 |
-
"# csv_path = os.path.join(csv_folder_path, csv_name)\n",
|
| 321 |
-
"# if not os.path.isfile(csv_path):\n",
|
| 322 |
-
"# print(f\" Warning: CSV file '{csv_path}' not found. Skipping this CSV.\")\n",
|
| 323 |
-
"# continue\n",
|
| 324 |
-
"\n",
|
| 325 |
-
"# current_csv_filenames = []\n",
|
| 326 |
-
"# duplicates_in_csv = set()\n",
|
| 327 |
-
"# seen_csv_filenames = set()\n",
|
| 328 |
-
"\n",
|
| 329 |
-
"# try:\n",
|
| 330 |
-
"# with open(csv_path, mode='r', newline='', encoding='utf-8') as file:\n",
|
| 331 |
-
"# reader = csv.reader(file)\n",
|
| 332 |
-
"# header = next(reader, None) # Read the header row\n",
|
| 333 |
-
"\n",
|
| 334 |
-
"# if header is None:\n",
|
| 335 |
-
"# print(f\" Warning: CSV file '{csv_name}' is empty or has no header. Skipping.\")\n",
|
| 336 |
-
"# continue\n",
|
| 337 |
-
"\n",
|
| 338 |
-
"# filename_col_index = -1\n",
|
| 339 |
-
"# for i, col_name in enumerate(header):\n",
|
| 340 |
-
"# if col_name.strip().lower() == 'filename':\n",
|
| 341 |
-
"# filename_col_index = i\n",
|
| 342 |
-
"# break\n",
|
| 343 |
-
" \n",
|
| 344 |
-
"# if filename_col_index == -1:\n",
|
| 345 |
-
"# print(f\" Error: 'filename' column not found in '{csv_name}'. Skipping this CSV.\")\n",
|
| 346 |
-
"# continue\n",
|
| 347 |
-
"\n",
|
| 348 |
-
"# for row_num, row in enumerate(reader, 2): # Start row_num from 2 for data rows\n",
|
| 349 |
-
"# if len(row) > filename_col_index:\n",
|
| 350 |
-
"# full_filename_from_csv = row[filename_col_index].strip()\n",
|
| 351 |
-
"# if full_filename_from_csv in seen_csv_filenames:\n",
|
| 352 |
-
"# duplicates_in_csv.add(full_filename_from_csv)\n",
|
| 353 |
-
"# else:\n",
|
| 354 |
-
"# seen_csv_filenames.add(full_filename_from_csv)\n",
|
| 355 |
-
"# current_csv_filenames.append(full_filename_from_csv)\n",
|
| 356 |
-
"# total_csv_entries += 1\n",
|
| 357 |
-
"# else:\n",
|
| 358 |
-
"# print(f\" Warning: Row {row_num} in '{csv_name}' is malformed (missing filename column).\")\n",
|
| 359 |
-
"\n",
|
| 360 |
-
"# csv_file_contents[csv_name] = current_csv_filenames\n",
|
| 361 |
-
"\n",
|
| 362 |
-
"# if duplicates_in_csv:\n",
|
| 363 |
-
"# print(f\" Duplicate filenames found in CSV '{csv_name}':\")\n",
|
| 364 |
-
"# for dup_entry in sorted(list(duplicates_in_csv)):\n",
|
| 365 |
-
"# print(f\" - {dup_entry}\")\n",
|
| 366 |
-
"# else:\n",
|
| 367 |
-
"# print(f\" No duplicate filenames found in CSV '{csv_name}'.\")\n",
|
| 368 |
-
"\n",
|
| 369 |
-
"# except Exception as e:\n",
|
| 370 |
-
"# print(f\" Error reading CSV file '{csv_path}': {e}\")\n",
|
| 371 |
-
" \n",
|
| 372 |
-
"# print(f\"\\n Total entries across {', '.join(target_csv_filenames)}: {total_csv_entries}\")\n",
|
| 373 |
-
"# if total_csv_entries == 2800:\n",
|
| 374 |
-
"# print(\" Total CSV entries match the expected 2800. Great!\")\n",
|
| 375 |
-
"# else:\n",
|
| 376 |
-
"# print(f\" Warning: Total CSV entries ({total_csv_entries}) do NOT match the expected 2800.\")\n",
|
| 377 |
-
"# print(\"-\" * 60 + \"\\n\")\n",
|
| 378 |
-
"\n",
|
| 379 |
-
"# # --- 3. Check if all files in CSVs are present in folders ---\n",
|
| 380 |
-
"# print(\"--- Checking if CSV-listed files are present in their respective folders ---\")\n",
|
| 381 |
-
"# all_csv_listed_files = [] # Store all (full_filename, csv_source) for cross-ref\n",
|
| 382 |
-
"# for csv_name, filenames in csv_file_contents.items():\n",
|
| 383 |
-
"# for filename_entry in filenames:\n",
|
| 384 |
-
"# all_csv_listed_files.append((filename_entry, csv_name))\n",
|
| 385 |
-
"\n",
|
| 386 |
-
"# # Create a lookup for actual files on disk, using full normalized paths\n",
|
| 387 |
-
"# existing_audio_files_on_disk = set()\n",
|
| 388 |
-
"# for folder_name in audio_folders:\n",
|
| 389 |
-
"# folder_path = os.path.join(root_data_path, folder_name)\n",
|
| 390 |
-
"# if os.path.isdir(folder_path):\n",
|
| 391 |
-
"# for file_name in os.listdir(folder_path):\n",
|
| 392 |
-
"# if file_name.lower().endswith(\".wav\"):\n",
|
| 393 |
-
"# # Create the expected path string, matching CSV format (e.g., /GTZAN/file.wav)\n",
|
| 394 |
-
"# expected_csv_format_path = f\"/{folder_name}/{file_name}\"\n",
|
| 395 |
-
"# existing_audio_files_on_disk.add(expected_csv_format_path)\n",
|
| 396 |
-
" \n",
|
| 397 |
-
"# missing_files_from_csvs = []\n",
|
| 398 |
-
"# found_files_count = 0\n",
|
| 399 |
-
" \n",
|
| 400 |
-
"# for full_csv_filename, source_csv in all_csv_listed_files:\n",
|
| 401 |
-
"# # Normalize the CSV filename path to match our disk lookup (e.g., /GTZAN/file.wav)\n",
|
| 402 |
-
"# normalized_csv_path = os.path.normpath(full_csv_filename).replace(os.sep, '/') # Use forward slashes\n",
|
| 403 |
-
" \n",
|
| 404 |
-
"# if normalized_csv_path in existing_audio_files_on_disk:\n",
|
| 405 |
-
"# found_files_count += 1\n",
|
| 406 |
-
"# # print(f\" Found: {full_csv_filename} (from {source_csv})\") # Uncomment for verbose output\n",
|
| 407 |
-
"# else:\n",
|
| 408 |
-
"# missing_files_from_csvs.append((full_csv_filename, source_csv))\n",
|
| 409 |
-
"\n",
|
| 410 |
-
"# if missing_files_from_csvs:\n",
|
| 411 |
-
"# print(\"\\n The following files are listed in CSVs but NOT found in their expected audio folders:\")\n",
|
| 412 |
-
"# for missing_file, source_csv in sorted(missing_files_from_csvs):\n",
|
| 413 |
-
"# print(f\" - {missing_file} (listed in {source_csv})\")\n",
|
| 414 |
-
"# else:\n",
|
| 415 |
-
"# print(\" All files listed in the target CSVs were found in their respective audio folders.\")\n",
|
| 416 |
-
" \n",
|
| 417 |
-
"# print(f\"\\n Total files listed in target CSVs: {len(all_csv_listed_files)}\")\n",
|
| 418 |
-
"# print(f\" Total CSV-listed files found on disk: {found_files_count}\")\n",
|
| 419 |
-
"\n",
|
| 420 |
-
"# print(\"\\n--- Data Integrity Check Finished ---\")\n",
|
| 421 |
-
"\n",
|
| 422 |
-
"\n",
|
| 423 |
-
"# # --- How to use this script ---\n",
|
| 424 |
-
"# # 1. Save this code as a Python file (e.g., data_checker.py).\n",
|
| 425 |
-
"# # 2. **Replace 'YOUR_PARENT_DIRECTORY_PATH_HERE'** with the actual path to the directory\n",
|
| 426 |
-
"# # that contains your GTZAN, MAG, OWN, FMA folders. This is the 'root_data_path'.\n",
|
| 427 |
-
"# # Example: If your GTZAN, MAG, OWN, FMA are all directly under `/Users/YourName/AudioData/`,\n",
|
| 428 |
-
"# # then set `root_data_path = '/Users/YourName/AudioData/'`\n",
|
| 429 |
-
"# # 3. **Replace 'YOUR_CSV_FOLDER_PATH_HERE'** with the actual path to the folder\n",
|
| 430 |
-
"# # containing your CSV files.\n",
|
| 431 |
-
"# # Example: If your CSVs are in `/Users/YourName/MyCSVs/`, set `csv_folder_path = '/Users/YourName/MyCSVs/'`\n",
|
| 432 |
-
"# # If CSVs are in the same directory as this script, you can use `csv_folder_path = \".\"`\n",
|
| 433 |
-
"# # 4. The `target_csv_filenames` list is pre-filled with the ones you specified.\n",
|
| 434 |
-
"# # 5. The `audio_folders_to_check` list is pre-filled.\n",
|
| 435 |
-
"# # 6. Uncomment the last line to run the function.\n",
|
| 436 |
-
"# # 7. Run the script from your terminal: `python data_checker.py`\n",
|
| 437 |
-
"\n",
|
| 438 |
-
"# # !!! IMPORTANT: Ensure your GTZAN folder has its WAV files in the root as per your previous script's output.\n",
|
| 439 |
-
"\n",
|
| 440 |
-
"# # Set the parent directory path here (where GTZAN, MAG, OWN, FMA are located)\n",
|
| 441 |
-
"# root_data_path = '.'\n",
|
| 442 |
-
"\n",
|
| 443 |
-
"# # Set the path to the folder containing your CSV files\n",
|
| 444 |
-
"# csv_folder_path = '.'\n",
|
| 445 |
-
"\n",
|
| 446 |
-
"# # Define the CSV files to check\n",
|
| 447 |
-
"# target_csv_filenames = [\n",
|
| 448 |
-
"# 'data_test_2_classes.csv',\n",
|
| 449 |
-
"# 'data_train_2_classes.csv',\n",
|
| 450 |
-
"# 'data_val_2_classes.csv',\n",
|
| 451 |
-
"# ]\n",
|
| 452 |
-
"\n",
|
| 453 |
-
"# # Define the audio data folders to check for presence of files\n",
|
| 454 |
-
"# audio_folders_to_check = ['GTZAN', 'MAG', 'OWN', 'FMA']\n",
|
| 455 |
-
"\n",
|
| 456 |
-
"# # Call the function to perform the integrity checks\n",
|
| 457 |
-
"# # Uncomment the line below to execute the script:\n",
|
| 458 |
-
"# check_data_integrity(root_data_path, csv_folder_path, target_csv_filenames, audio_folders_to_check)\n",
|
| 459 |
-
"# # print(\"\\nTo run the script, uncomment the last line and replace 'YOUR_PARENT_DIRECTORY_PATH_HERE' and 'YOUR_CSV_FOLDER_PATH_HERE' with your actual folder paths.\")\n",
|
| 460 |
-
"# # print(\"This script will help you verify the consistency of your dataset.\")\n"
|
| 461 |
-
]
|
| 462 |
-
},
|
| 463 |
-
{
|
| 464 |
-
"cell_type": "code",
|
| 465 |
-
"execution_count": null,
|
| 466 |
-
"id": "8ed3c1ea-ca8f-4973-9642-9dfd3a6eb1e7",
|
| 467 |
-
"metadata": {},
|
| 468 |
-
"outputs": [],
|
| 469 |
-
"source": []
|
| 470 |
-
}
|
| 471 |
-
],
|
| 472 |
-
"metadata": {
|
| 473 |
-
"kernelspec": {
|
| 474 |
-
"display_name": "Python 3 (ipykernel)",
|
| 475 |
-
"language": "python",
|
| 476 |
-
"name": "python3"
|
| 477 |
-
},
|
| 478 |
-
"language_info": {
|
| 479 |
-
"codemirror_mode": {
|
| 480 |
-
"name": "ipython",
|
| 481 |
-
"version": 3
|
| 482 |
-
},
|
| 483 |
-
"file_extension": ".py",
|
| 484 |
-
"mimetype": "text/x-python",
|
| 485 |
-
"name": "python",
|
| 486 |
-
"nbconvert_exporter": "python",
|
| 487 |
-
"pygments_lexer": "ipython3",
|
| 488 |
-
"version": "3.11.9"
|
| 489 |
-
}
|
| 490 |
-
},
|
| 491 |
-
"nbformat": 4,
|
| 492 |
-
"nbformat_minor": 5
|
| 493 |
-
}
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