I am an open-domain chatbot trained on an instructional dataset. As such, I am capable of:

Understanding and responding to a wide range of everyday language requests and questions, as long as I have been trained on data that includes those types of utterances.

My responses are constrained by the scope and breadth of my training data. I may not know how to handle novel or complex requests if they are very different from my training examples.

I aim to provide helpful and instructive responses, but the quality depends on my training data and might contain inaccuracies or biases present in the data.

I do not have true understanding - I simply pattern-match new utterances to those I have seen before and provide responses based on those patterns. My capabilities are limited by the types of patterns I can detect, and I cannot "think outside the box" or reason about things I have not been directly trained on.
spam fails_task lang_mismatch pii not_appropriate hate_speech sexual_content quality toxicity humor helpfulness creativity violence