### 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)

if order_by.startswith("-"):
                    order_by = (
                        func.max(DatasetEvent.timestamp).desc(),
                        DatasetModel.uri.asc(),
                    )
                    if session.bind.dialect.name == "postgresql":
                        order_by = (order_by[0].nulls_last(), *order_by[1:])
                else:
                    order_by = (
                        func.max(DatasetEvent.timestamp).asc(),
                        DatasetModel.uri.desc(),
                    )
                    if session.bind.dialect.name == "postgresql":
                        order_by = (order_by[0].nulls_first(), *order_by[1:])
            count_query = select(func.count(DatasetModel.id))
            has_event_filters = bool(updated_before or updated_after)
            query = (
                select(
                    DatasetModel.id,
                    DatasetModel.uri,
                    func.max(DatasetEvent.timestamp).label("last_dataset_update"),
                    func.sum(case((DatasetEvent.id.is_not(None), 1), else_=0)).label("total_updates"),
                )
                .join(DatasetEvent, DatasetEvent.dataset_id == DatasetModel.id, isouter=not has_event_filters)
                .group_by(
                    DatasetModel.id,
                    DatasetModel.uri,
                )
                .order_by(*order_by)
            )