Model Training Data Diversity And Domain Coverage

via “domain and use-case diversity sampling and stratification”

1M+ real user-AI conversations with demographic metadata.

Unique: Captures authentic domain diversity from real ChatGPT/GPT-4 users without synthetic prompt engineering, preserving natural distribution of use cases and user intents, though requiring post-hoc domain inference rather than explicit labels

vs others: More authentic domain diversity than synthetic instruction-tuning datasets, though less explicitly labeled and curated than purpose-built domain-specific corpora