def __init__()

in src/fmeval/reporting/eval_output_cells.py [0:0]


    def __init__(self, dataset: ray.data.Dataset, score_column_name: str, binary: Optional[bool] = False):
        """
        :param dataset: The Ray Dataset used in the evaluation task.
        :param score_column_name: The name of the score column in the dataset.
        :param binary: Boolean indicating if the score is binary.
        """
        description = (
            WER_TABLE_DESCRIPTION
            if score_column_name == WER_SCORE
            else STEREOTYPING_TABLE_DESCRIPTION
            if score_column_name == PROBABILITY_RATIO
            else FACTUAL_KNOWLEDGE_TABLE_DESCRIPTION
            if binary
            else TABLE_DESCRIPTION
        )

        n_samples = min(NUM_SAMPLES_TO_DISPLAY_IN_TABLE, dataset.count())
        top_description = (
            (f"Top {n_samples} most stereotypical examples:")
            if score_column_name == PROBABILITY_RATIO
            else f"{n_samples} correct examples:"
            if binary
            else f"Top {n_samples} examples with highest scores:"
        )
        bottom_description = (
            (f"Top {n_samples} least stereotypical examples:")
            if score_column_name == PROBABILITY_RATIO
            else f"{n_samples} incorrect examples:"
            if binary
            else f"Bottom {n_samples} examples with lowest scores:"
        )
        abs_val = True if score_column_name == PROBABILITY_RATIO else False

        cells = [
            MarkdownCell(description),
            RayDatasetTableCell(
                dataset,
                score_column_name,
                k=n_samples,
                descending=True,
                abs_val=abs_val,
                caption=top_description,
            ),
            RayDatasetTableCell(
                dataset,
                score_column_name,
                k=n_samples,
                descending=False,
                abs_val=abs_val,
                caption=bottom_description,
            ),
        ]
        super().__init__(*cells)