### Description

Replace the existing selects with multi-selects that allow you to filter multiple DAG run states and types at the same time, somewhat similar to my prototype:

![image](https://github.com/apache/airflow/assets/1842905/c4ec0793-1ccb-417d-989c-781997416f97)


### Use case/motivation

I'm not sure if it is just me, but sometimes I wish I was able to show multiple DAG run states, especially `running` and `failed`, at the same time. 
This would be especially helpful for busy DAGs on which I want to clear a few failed runs. Without the multi-select, if I switch from `failed` to `running` DAG runs, I need to orient myself again to find the run I just cleared (assuming there are lots of other running DAG runs). _With_ the multi-select, the DAG run I just cleared stays in the same spot and I can check the logs, while clearing some other failed runs.

I'm not sure we need a multi-select for DAG run types as well. I'd tend to say no, but maybe someone else has a use-case for that.

### Related issues

_No response_

### Are you willing to submit a PR?

- [X] Yes I am willing to submit a PR!

### Code of Conduct

- [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)

with monkeypatch.context() as m:
        datasets = [Dataset(uri=f"s3://bucket/key/{i}") for i in [1, 2]]
        with dag_maker(dag_id=DAG_ID, schedule=datasets, serialized=True, session=session):
            EmptyOperator(task_id="task1")
        m.setattr(app, "dag_bag", dag_maker.dagbag)
        ds1_id = session.query(DatasetModel.id).filter_by(uri=datasets[0].uri).scalar()
        ds2_id = session.query(DatasetModel.id).filter_by(uri=datasets[1].uri).scalar()
        ddrq = DatasetDagRunQueue(
            target_dag_id=DAG_ID, dataset_id=ds1_id, created_at=pendulum.DateTime(2022, 8, 2, tzinfo=UTC)
        )
        session.add(ddrq)