Error when working with dataset when BigQuery source URI contains :

[Ark-kun]

I receive error when I try working with dataset that has : in the BigQuery source URI:
BadRequest: 400 GET https://bigquery.googleapis.com/bigquery/v2/projects/140626129697/datasets/bigquery-public-data:chicago_taxi_trips/tables/taxi_trips?prettyPrint=false: Invalid dataset ID "bigquery-public-data:chicago_taxi_trips". Dataset IDs must be alphanumeric (plus underscores and dashes) and must be at most 1024 characters long.

The Vertex Backend supports the dataset and the UX shows columns and types.

Environment details

• OS type and version:
• google-cloud-aiplatform version: 1.4.0

Steps to reproduce

aiplatform.TabularDataset('projects/140626129697/locations/us-central1/datasets/4730389293762084864').column_names

Stack trace

---------------------------------------------------------------------------
BadRequest                                Traceback (most recent call last)
<ipython-input-153-50eba4b09d21> in <module>
----> 1 bug_dataset.column_names

/opt/conda/lib/python3.7/site-packages/google/cloud/aiplatform/datasets/tabular_dataset.py in column_names(self)
     85                 No more than 64 user labels can be associated with one Tensorboard
     86                 (System labels are excluded).
---> 87                 See https://goo.gl/xmQnxf for more information and examples of labels.
     88                 System reserved label keys are prefixed with "aiplatform.googleapis.com/"
     89                 and are immutable.

/opt/conda/lib/python3.7/site-packages/google/cloud/aiplatform/datasets/tabular_dataset.py in _retrieve_bq_source_columns(project, bq_table_uri, credentials)

/opt/conda/lib/python3.7/site-packages/google/cloud/bigquery/client.py in get_table(self, table, retry, timeout)
    695         table_ref = _table_arg_to_table_ref(table, default_project=self.project)
    696         api_response = self._call_api(
--> 697             retry, method="GET", path=table_ref.path, timeout=timeout
    698         )
    699         return Table.from_api_repr(api_response)

/opt/conda/lib/python3.7/site-packages/google/cloud/bigquery/client.py in _call_api(self, retry, **kwargs)
    572         if retry:
    573             call = retry(call)
--> 574         return call()
    575 
    576     def get_dataset(self, dataset_ref, retry=DEFAULT_RETRY, timeout=None):

/opt/conda/lib/python3.7/site-packages/google/api_core/retry.py in retry_wrapped_func(*args, **kwargs)
    289                 sleep_generator,
    290                 self._deadline,
--> 291                 on_error=on_error,
    292             )
    293 

/opt/conda/lib/python3.7/site-packages/google/api_core/retry.py in retry_target(target, predicate, sleep_generator, deadline, on_error)
    187     for sleep in sleep_generator:
    188         try:
--> 189             return target()
    190 
    191         # pylint: disable=broad-except

/opt/conda/lib/python3.7/site-packages/google/cloud/_http.py in api_request(self, method, path, query_params, data, content_type, headers, api_base_url, api_version, expect_json, _target_object, timeout)
    482 
    483         if not 200 <= response.status_code < 300:
--> 484             raise exceptions.from_http_response(response)
    485 
    486         if expect_json and response.content:

BadRequest: 400 GET https://bigquery.googleapis.com/bigquery/v2/projects/140626129697/datasets/bigquery-public-data:chicago_taxi_trips/tables/taxi_trips?prettyPrint=false: Invalid dataset ID "bigquery-public-data:chicago_taxi_trips". Dataset IDs must be alphanumeric (plus underscores and dashes) and must be at most 1024 characters long.

Making sure to follow these steps will guarantee the quickest resolution possible.

Thanks!