input: Write a python function to clean a dataset by converting the 'age' to int, 'height' to float (removing ' cm'), and 'weight' to float (removing ' kg').
  assert clean_dataset({'age': '25', 'height': '180 cm', 'weight': '70 kg'}) == {'age': 25, 'height': 180.0, 'weight': 70.0}
  assert clean_dataset({'age': '30', 'height': '170 cm', 'weight': '65 kg'}) == {'age': 30, 'height': 170.0, 'weight': 65.0}
  assert clean_dataset({'age': '40', 'height': '165 cm', 'weight': '75 kg'}) == {'age': 40, 'height': 165.0, 'weight': 75.0}
output: def clean_dataset(data):
      data['age'] = int(data['age'])
      data['height'] = float(data['height'].replace(' cm', ''))
      data['weight'] = float(data['weight'].replace(' kg', ''))
      return data