code: def load_data_csv(csv_path, replacements={}):
      """Loads CSV and formats string values.
  
      Uses the SpeechBrain legacy CSV data format, where the CSV must have an
      'ID' field.
      If there is a field called duration, it is interpreted as a float.
      The rest of the fields are left as they are (legacy _format and _opts fields
      are not used to load the data in any special way).
  
      Bash-like string replacements with $to_replace are supported.
  
      Arguments
      ----------
      csv_path : str
          Path to CSV file.
      replacements : dict
          (Optional dict), e.g., {"data_folder": "/home/speechbrain/data"}
          This is used to recursively format all string values in the data.
  
      Returns
      -------
      dict
          CSV data with replacements applied.
  
      Example
      -------
      >>> csv_spec = '''ID,duration,wav_path
      ... utt1,1.45,$data_folder/utt1.wav
      ... utt2,2.0,$data_folder/utt2.wav
      ... '''
      >>> tmpfile = getfixture("tmpdir") / "test.csv"
      >>> with open(tmpfile, "w") as fo:
      ...     _ = fo.write(csv_spec)
      >>> data = load_data_csv(tmpfile, {"data_folder": "/home"})
      >>> data["utt1"]["wav_path"]
      '/home/utt1.wav'
      """
  
      with open(csv_path, newline="") as csvfile:
          result = {}
          reader = csv.DictReader(csvfile, skipinitialspace=True)
          variable_finder = re.compile(r"\$([\w.]+)")
          for row in reader:
              # ID:
              try:
                  data_id = row["ID"]
                  del row[
                      "ID"
                  ]  # This is used as a key in result, instead.
              except KeyError:
                  raise KeyError(
                      "CSV has to have an 'ID' field, with unique ids"
                      " for all data points"
                  )
              if data_id in result:
                  raise ValueError(f"Duplicate id: {data_id}")
              # Replacements:
              for key, value in row.items():
                  try:
                      row[key] = variable_finder.sub(
                          lambda match: str(replacements[match[1]]),
                          value,
                      )
                  except KeyError:
                      raise KeyError(
                          f"The item {value} requires replacements "
                          "which were not supplied."
                      )
              # Duration:
              if "duration" in row:
                  row["duration"] = float(row["duration"])
              result[data_id] = row
      return result
  
imports: import os
  import torch
  import logging
  import numpy
  import pickle
  import hashlib
  import csv
  import time
  import torchaudio
  import json
  import re
  from speechbrain.utils.torch_audio_backend import check_torchaudio_backend
label_desc: Use image node_id 3 for calling a global function with example usage: load_data_csv(csv_path, replacements) and returns: result