code: def get_artifacts(self):
      return [
          DataframeArtifact(
              "ingested_scoring_data",
              self.recipe_root,
              self.name,
              IngestScoringStep._DATASET_OUTPUT_NAME,
          )
      ]
  
imports: import abc
  import logging
  import os
  from pathlib import Path
  from typing import Any, Dict, Optional
  import pandas
  from mlflow.exceptions import MlflowException
  from mlflow.protos.databricks_pb2 import INVALID_PARAMETER_VALUE
  from mlflow.recipes.artifacts import DataframeArtifact
  from mlflow.recipes.cards import BaseCard
  from mlflow.recipes.step import BaseStep, StepClass
  from mlflow.recipes.steps.ingest.datasets import CustomDataset, DeltaTableDataset, ParquetDataset, SparkSqlDataset
  from mlflow.recipes.utils.step import get_pandas_data_profiles, validate_classification_config
  from mlflow.utils.file_utils import read_parquet_as_pandas_df
label_desc: Use image node_id 4 for calling the IngestScoringStep obj's underlying member method code with example usage: obj.get_artifacts() and returns: list