### 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)

"""Return dataset dependencies graph."""
        nodes_dict: dict[str, Any] = {}
        edge_tuples: set[dict[str, str]] = set()
        for dag, dependencies in SerializedDagModel.get_dag_dependencies().items():
            dag_node_id = f"dag:{dag}"
            if dag_node_id not in nodes_dict:
                for dep in dependencies:
                    if dep.dependency_type == "dag" or dep.dependency_type == "dataset":
                        nodes_dict[dag_node_id] = node_dict(dag_node_id, dag, "dag")
                        if dep.node_id not in nodes_dict:
                            nodes_dict[dep.node_id] = node_dict(
                                dep.node_id, dep.dependency_id, dep.dependency_type
                            )
                        if dep.source != "dataset":
                            edge_tuples.add((f"dag:{dep.source}", dep.node_id))
                        if dep.target != "dataset":
                            edge_tuples.add((dep.node_id, f"dag:{dep.target}"))
        nodes = list(nodes_dict.values())
        edges = [{"source": source, "target": target} for source, target in edge_tuples]
        data = {
            "nodes": nodes,
            "edges": edges,
        }
        return (
            htmlsafe_json_dumps(data, separators=(",", ":"), dumps=flask.json.dumps),
            {"Content-Type": "application/json; charset=utf-8"},
        )
    @expose("/object/datasets_summary")
    @auth.has_access_dataset("GET")
    def datasets_summary(self):