refactor eval dataset to reuse train response dataset

Eval datasets and response/train datasets in NeMo-RL frequently wrap the same underlying HuggingFace datasets, duplicating loader logic, dataset IDs, input-key conventions, and per-variant branching.

It's better to unify them to use a same one, so that we don't need to support them twice.