A factual question-answering environment designed to work both standalone and with the Atropos reinforcement learning framework. This project demonstrates how to create a custom environment that rewards language models for providing accurate and concise answers to factual questions.
nlp benchmark machine-learning natural-language-processing information-retrieval text-mining ai deep-learning transformers knowledge-graph question-answering rl fact-checking atropos question-answering-system llm nousresearch factqa
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Updated
May 17, 2025 - Python