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language:
- en
license: cc-by-sa-4.0
---
It is the [SQuAD] & [TriviaQA (rc.wikipedia subset)] datasets concatenated
but then inverted with answer first and then question.

Useful to train LLM models that given an answer need to generate a question.
These AQ-models, AQ for AnswerQuestion are useful in conversations with other normal LLM bots that given a question generate an answer.

If you have an automatic conversation between two LLMs, one QA-LLM and one AQ-LLM the conversation will not get stuck but continue forever.

Last but not least: this dataset was created with help of python scripts suggested by ChatGPT-4o (using vibe programming as Karpathy names it)