### Description

A count of datasets that are currently registered/declared in an Airflow deployment.

### Use case/motivation

Would be nice to see how deployments are adopting datasets.

### Related issues

_No response_

### Are you willing to submit a PR?

- [ ] 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)

self,
        subdir: str = settings.DAGS_FOLDER,
        num_runs: int = conf.getint("scheduler", "num_runs"),
        num_times_parse_dags: int = -1,
        scheduler_idle_sleep_time: float = conf.getfloat("scheduler", "scheduler_idle_sleep_time"),
        do_pickle: bool = False,
        log: logging.Logger | None = None,
        processor_poll_interval: float | None = None,
        *args,
        **kwargs,
    ):
        self.subdir = subdir
        self.num_runs = num_runs
        
        
        
        self.num_times_parse_dags = num_times_parse_dags
        if processor_poll_interval:
            
            warnings.warn(
                "The 'processor_poll_interval' parameter is deprecated. "
                "Please use 'scheduler_idle_sleep_time'.",
                RemovedInAirflow3Warning,
                stacklevel=2,
            )
            scheduler_idle_sleep_time = processor_poll_interval
        self._scheduler_idle_sleep_time = scheduler_idle_sleep_time