code: def import_data(self, dataset, dry_run=False, raise_errors=False,
                      use_transactions=None, collect_failed_rows=False, **kwargs):
          
  
          if use_transactions is None:
              use_transactions = self.get_use_transactions()
  
          connection = connections[DEFAULT_DB_ALIAS]
          supports_transactions = getattr(connection.features, "supports_transactions", False)
  
          if use_transactions and not supports_transactions:
              raise ImproperlyConfigured
  
          using_transactions = (use_transactions or dry_run) and supports_transactions
  
          with atomic_if_using_transaction(using_transactions):
              return self.import_data_inner(dataset, dry_run, raise_errors, using_transactions, collect_failed_rows, **kwargs)
docs: Imports data from ``tablib.Dataset``. Refer to :doc:`import_workflow`
          for a more complete description of the whole import process.
  
          :param dataset: A ``tablib.Dataset``
  
          :param raise_errors: Whether errors should be printed to the end user
              or raised regularly.
  
          :param use_transactions: If ``True`` the import process will be processed
              inside a transaction.
  
          :param collect_failed_rows: If ``True`` the import process will collect
              failed rows.
  
          :param dry_run: If ``dry_run`` is set, or an error occurs, if a transaction
              is being used, it will be rolled back.