text: import pandas as pd
  import numpy as np
  
  #orig = pd.read_csv('../LibriSpeech/train.csv', delimiter=',')
  c = 0
  len_i = []
  
  with open('../dutch_clips_flac/train.csv', 'r') as infile:
      with open('../DutchDataset/dutch-train-small.csv','w') as f:
          f.write('idx,input,label\n')
          for i in infile.readlines():
              len_i.append(len(i))
              if len(i) < 290 and len(i) > 260:
                  i = str(c) + i[i.find(','):]
                  f.write(i)
                  c += 1
  print(str(c) + ' lines copied in train!')
  
  #print('len_i',len_i)
  #print('min', min(len_i))
  #print('max', max(len_i))
  #print('mean', min(len_i)+max(len_i)/2)
  
  
  
  
  
  d = 0
  
  with open('../dutch_clips_flac/dev.csv', 'r') as infile:
      with open('../DutchDataset/dutch-dev-small.csv','w') as f:
          f.write('idx,input,label\n')
          for i in infile.readlines():
              if len(i) < 290 and len(i) > 260:
                  i = str(d) + i[i.find(','):]   
                  f.write(i)
                  d += 1
  print(str(d) + ' lines copied in dev!')
  
  b = 0
  with open('../dutch_clips_flac/test.csv', 'r') as infile:
      with open('../DutchDataset/dutch-test-small.csv','w') as f:
          f.write('idx,input,label\n')
          for i in infile.readlines():
              if len(i) < 290 and len(i) > 260:
                  i = str(b) + i[i.find(','):]
                  f.write(i)
                  b += 1
  print(str(b) + ' lines copiedin test!')
  
  