old_contents: # coding: utf-8
  
  # Author: Hussein AL-NATSHEH <hussein.al-natsheh@ish-lyon.cnrs.fr>
  # License: BSD 3 clause
  # 2016
  
  import pandas as pd
  import argparse
  import numpy as np
  
  def load_data(dataset, verbose=0):
  	if dataset == "sts":
  		#Load STS data (combined 2012-2014 and cleaned)
  		data = pd.read_csv('data/sts_gs_all.csv', dtype={'Score': np.float32})
  		if verbose == 2:
  			print data.shape
  			print data.head(n=10)
  		elif verbose == 1:
  			print data.shape
  		X = data.as_matrix(columns=["Sent1", "Sent2"])
      	y = data.as_matrix(columns=["Score"])
      	return X, y
  
  if __name__ == "__main__":
      parser = argparse.ArgumentParser()
      parser.add_argument("--dataset", required=True, type=str)
      parser.add_argument("--verbose", default=1, type=int)
      args = parser.parse_args()
  
      X, y = load_data (args.dataset, args.verbose)
  
new_contents: # coding: utf-8
  
  # Author: Hussein AL-NATSHEH <hussein.al-natsheh@ish-lyon.cnrs.fr>
  # License: BSD 3 clause
  # 2016
  
  import pandas as pd
  import argparse
  import numpy as np
  
  def load_data(dataset, verbose=0):
  	if dataset == "sts":
  		#Load STS data (combined 2012-2014 and cleaned)
  		data = pd.read_csv('data/sts_gs_all.csv', dtype={'Score': np.float32})
  		if verbose == 2:
  			print data.shape
  			print data.head(n=10)
  		elif verbose == 1:
  			print data.shape
  		X = data.as_matrix(columns=["Sent1", "Sent2"])
  		y = data.as_matrix(columns=["Score"])
  		return X, y
  
  if __name__ == "__main__":
      parser = argparse.ArgumentParser()
      parser.add_argument("--dataset", required=True, type=str)
      parser.add_argument("--verbose", default=1, type=int)
      args = parser.parse_args()
  
      X, y = load_data (args.dataset, args.verbose)
  
subject: fix indenting issue