What data was used to train the German Conformer Transducer?
Hello,

in the [model's page](https://catalog.ngc.nvidia.com/orgs/nvidia/teams/nemo/models/stt_de_conformer_transducer_large), it is said that the model was trained on:

- 567 hours of MCV7
- 1524 hours of MLS
- 214 hours of VoxPopuli

I am wondering how the subsets for each dataset were chosen, especially for MCV, where there is accented data. Unfortunately, I could not find the details of this dataset online. Could you please clarify how the subsets were chosen?

Kind regards,
Carlos