code: def _read_data_set(
      filelist,
      thread_count,
      batch_size,
      numcep,
      numcontext,
      stride=1,
      offset=0,
      next_index=lambda i: i + 1,
      limit=0,
  ):
      # Optionally apply dataset size limit
      if limit > 0:
          filelist = filelist.iloc[:limit]
  
      filelist = filelist[offset::stride]
  
      # Return DataSet
      return DataSet(
          txt_files,
          thread_count,
          batch_size,
          numcep,
          numcontext,
          next_index=next_index,
      )
  
imports: import codecs
  import fnmatch
  import os
  import random
  import subprocess
  import sys
  import tarfile
  import unicodedata
  import wave
  import librosa
  import pandas
  import requests
  import soundfile
  from deepspeech_training.util.importers import validate_label_eng
label_desc: Use image node_id 12 for calling a global function with example usage: _read_data_set(filelist, thread_count, batch_size, numcep, numcontext, stride, offset, next_index, limit) and returns: DataSet