code: def iterate_similarity_datasets(args):
      
      for dataset_name in args.similarity_datasets:
          parameters = nlp.data.list_datasets(dataset_name)
          for key_values in itertools.product(*parameters.values()):
              kwargs = dict(zip(parameters.keys(), key_values))
              yield dataset_name, kwargs, nlp.data.create(dataset_name, **kwargs)
docs: Generator over all similarity evaluation datasets.
  
      Iterates over dataset names, keyword arguments for their creation and the
      created dataset.