how to generate qa data from a CSV file containing multiple columns?

Lets say, we have a csv containing 100 rows where each row has 5 coumns

1. name of wine
2. country of wine
3. food pairing of wine
4. tasting notes of wine
5. variety of wine

How can I generate an efficient dataset to train an llm capable of answering questions related to these wines data?