Data priority, incremental training?

Hi there!

1. I would like to use the data currently provided in data-index.json, but at the same time, I would like to use my custom data. Can I tell the script to generate a model considering my custom data is more relevant / has a bigger priority?

2. Let's say I have one large dataset I am using all the time, and then I have multiple smaller datasets which I would like to train different models for each. Is something like an incremental build possible, so I would reuse some previous output and just "append" my custom data to save some training time and resources?

Thanks!

No specific source file, test, or entry point is named. Start by reviewing the training scripts and data-index.json to determine whether custom-data priority and incremental model building are supported, and define done as a clear implementation or documented answer for both workflows.

Written by the indexing model from the issue text.