The publicly available and open-source datasets were downloaded from websites that host training data used by academic and industry teams for training large language models. Internally annotated datasets were created by internal specialists who annotate user data and create data to improve specific capabilities. User data was derived from user interactions with our products in accordance with our privacy policy and data governance controls. Synthetic data was generated by AI models, including both internal and third-party models.
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