def metrics(self, dataset: str) -> Dict[str, Union[int, float]]:
        """Compute the rule metrics for a given dataset:

        - **coverage**: Fraction of the records labeled by the rule.
        - **annotated_coverage**: Fraction of annotated records labeled by the rule.
        - **correct**: Number of records the rule labeled correctly (if annotations are available).
        - **incorrect**: Number of records the rule labeled incorrectly (if annotations are available).
        - **precision**: Fraction of correct labels given by the rule (if annotations are available). The precision does not penalize the rule for abstains.

        Args:
            dataset: Name of the dataset for which to compute the rule metrics.

        Returns:
            The rule metrics.
        """
        metrics = singleton.active_api().rule_metrics_for_dataset(
            dataset=dataset,
            rule=LabelingRule(query=self.query, label=self.label),
        )

        return {
            "coverage": metrics.coverage,
            "annotated_coverage": metrics.coverage_annotated,
            "correct": int(metrics.correct) if metrics.correct is not None else None,
            "incorrect": int(metrics.incorrect) if metrics.incorrect is not None else None,
            "precision": metrics.precision if metrics.precision is not None else None,
        }
Compute the rule metrics for a given dataset:

        - **coverage**: Fraction of the records labeled by the rule.
        - **annotated_coverage**: Fraction of annotated records labeled by the rule.
        - **correct**: Number of records the rule labeled correctly (if annotations are available).
        - **incorrect**: Number of records the rule labeled incorrectly (if annotations are available).
        - **precision**: Fraction of correct labels given by the rule (if annotations are available). The precision does not penalize the rule for abstains.

        Args:
            dataset: Name of the dataset for which to compute the rule metrics.

        Returns:
            The rule metrics.
        
argilla-v1/src/argilla_v1/labeling/text_classification/rule.py