code: def load_data(manifest: str, data_dir: str):
      data = []
      with open(manifest, "r") as f:
          for line in tqdm(f):
              item = json.loads(line)
              item[FIELD_DATA_DIR] = Path(data_dir)
              data.append(item)
      return data
  
file_path: NeMo/scripts/dataset_processing/process_slurp_data.py
imports: import argparse
  import json
  import multiprocessing
  import os
  import tarfile
  from pathlib import Path
  import librosa
  import pandas
  import soundfile
  import wget
  from tqdm import tqdm
  from tqdm.contrib.concurrent import process_map
label_desc: Use image node_id 6 for calling a global function with example usage: load_data(manifest, data_dir) and returns: data