old_contents: #! /usr/bin/env python
  
  __all__ = ['COPYRIGHT','TITLE','SOURCE','DESCRSHORT','DESCRLONG','NOTE', 'load']
  
  """Name of dataset."""
  
  __docformat__ = 'restructuredtext'
  
  COPYRIGHT   = """E.g., This is public domain."""
  TITLE       = """Title of the dataset"""
  SOURCE      = """
  This section should provide a link to the original dataset if possible and
  attribution and correspondance information for the dataset's original author
  if so desired.
  """
  
  DESCRSHORT  = """A short description."""
  
  DESCRLONG   = """A longer description of the dataset."""
  
  #suggested notes
  NOTE        = """
  Number of observations:
  Number of variables:
  Variable name definitions:
  
  Any other useful information that does not fit into the above categories.
  """
  
  import numpy as np
  from scikits.statsmodels.datasets import Dataset
  from os.path import dirname, abspath
  
  def load():
      """
      Load the data and return a Dataset class instance.
  
      Returns
      -------
      Dataset instance:
          See DATASET_PROPOSAL.txt for more information.
      """
      filepath = dirname(abspath(__file__))
  ##### EDIT THE FOLLOWING TO POINT TO DatasetName.csv #####
      data = np.recfromtxt(open(filepath + '/DatasetName.csv', 'rb'), delimiter=",",
              names=True, dtype=float)
      names = list(data.dtype.names)
  ##### SET THE INDEX #####
      endog = np.array(data[names[0]], dtype=float)
      endog_name = names[0]
  ##### SET THE INDEX #####
      exog = np.column_stack(data[i] for i in names[1:]).astype(float)
      exog_name = names[1:]
      dataset = Dataset(data=data, names=names, endog=endog, exog=exog,
              endog_name = endog_name, exog_name=exog_name)
      return dataset
  
new_contents: #! /usr/bin/env python
  
  """Name of dataset."""
  
  __docformat__ = 'restructuredtext'
  
  COPYRIGHT   = """E.g., This is public domain."""
  TITLE       = """Title of the dataset"""
  SOURCE      = """
  This section should provide a link to the original dataset if possible and
  attribution and correspondance information for the dataset's original author
  if so desired.
  """
  
  DESCRSHORT  = """A short description."""
  
  DESCRLONG   = """A longer description of the dataset."""
  
  #suggested notes
  NOTE        = """
  Number of observations:
  Number of variables:
  Variable name definitions:
  
  Any other useful information that does not fit into the above categories.
  """
  
  import numpy as np
  from scikits.statsmodels.tools import datautils as du
  from os.path import dirname, abspath
  
  def load():
      """
      Load the data and return a Dataset class instance.
  
      Returns
      -------
      Dataset instance:
          See DATASET_PROPOSAL.txt for more information.
      """
      data = _get_data()
      ##### SET THE INDICES #####
      #NOTE: None for exog_idx is the complement of endog_idx
      return du.process_recarray(data, endog_idx=0, exog_idx=None, dtype=float)
  
  def load_pandas():
      data = _get_data()
      ##### SET THE INDICES #####
      #NOTE: None for exog_idx is the complement of endog_idx
      return du.process_recarray_pandas(data, endog_idx=0, exog_idx=None,
                                        dtype=float)
  
  def _get_data():
      filepath = dirname(abspath(__file__))
      ##### EDIT THE FOLLOWING TO POINT TO DatasetName.csv #####
      data = np.recfromtxt(open(filepath + '/DatasetName.csv', 'rb'),
              delimiter=",", names = True, dtype=float)
      return data
  
subject: Fix dataset template for Wes's changes