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Data/unified qa conversation
Based on Issue #712
As discussed, I converted each dataset from a QA pair to a conversation with the agent.
A couple templates are used for each dataset and the notebook takes a random template function, generates a conversation (sometimes Q-A, sometimes longer, like Q-A-Q-A-Q-A, etc) and saves everything to json files
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