Hi, having an output of a pipeline "viz_detailed_metrics". Can I somehow autogenerate a MLflow metrics dataset using the same output? Something like "standard_metrics"? catalog.yml:

"{model}.{experiment}.viz_detailed_metrics":
  type: tracking.JSONDataSet
  filepath: data/09_tracking/{model}_{experiment}_viz_detailed_metrics.json
  versioned: True

"{model}.{experiment}.standard_metrics":
  type: kedro_mlflow.io.metrics.MlflowMetricsDataSet
  dataset:
    type: tracking.JSONDataSet
    filepath: data/09_tracking/{model}_{experiment}_viz_detailed_metrics.json
    versioned: True

Check out dataset factories! https://docs.kedro.org/en/stable/data/kedro_dataset_factories.html

I do use dataset factories but I would like to create a MLflow metric dataset without having to create another output in my pipeline. Is there a way to achieve this?

no you need to be explicit here