Clarification Needed on the Specificity of test_dataset

[ViceSilva]

Clarification Needed on the Specificity of test_dataset

[robbym-dev]

For evaluating Retrieval-Augmented Generation (RAG) models like the ones you’re working with, the choice of a validation dataset can significantly influence how well the model’s performance generalizes across different types of data and use cases.

If your RAG model is intended to be used in a specific domain (like medical, legal, or technical documents), it would be beneficial to use a domain-specific validation dataset. This approach helps ensure that the model performs well on the type of content it will encounter in its expected environment.

However, if the model is intended for more general use, a generic labeled dataset could suffice. This kind of dataset helps evaluate the model’s ability to handle a broad range of topics and types of queries.

In your case, it be beneficial to use a domain-specific validation dataset tailored to the RAG domain to accurately evaluate your RAG model using ARES.