[mk_stjames]

I did glance at the docs first before commenting but I was looking in 'datasets' to try and understand importing a potential CSV/JOSN etc and all I saw was verbage on accessing the output.

I would not have guessed that the base input data processing would have been filed under 'steps'. But now I kinda see how you are working, but I admit I'm not the target audience.

If you want this to really take off for people outside of a very, very specific class of researchers... setup an example on your landing page that calls to a local JSON of user prompts/answers/rejects finetuning a llama model with your datadreamer.steps.JSONDataSource into the loader. Or, a txt file with the system/user/assistant prompts tagged and examples given. Yes, your 'lines of code' for your frontpage example may grow a bit!

Maybe there are a lot of 'ML researchers' that are used to the type of super-abstract OOP API, load-it-from-huggingface-scheme-people you are targeting but also know that there are a ton that aren't.

[patelajay285]

That's totally fair and good feedback, it's hard to support everyone's use cases simultaneously, but from my own research and other researchers we collaborate with, this solves and streamlines the right set of problems, but we want to make this as broadly useful as possible. Always happy to chat more / provide support if you would like, feel free to reach out if you want to try it and run into any sharp edges I could help make easier.