Web 3
HiveMind
Text
Question Answering
Text GenerationThis project focused on data labeling for Web3 and cryptocurrency use cases to support text generation and question-answering AI models. The scope included annotating crypto-related text across domains such as blockchain fundamentals, DeFi, NFTs, wallets, security, and regulation. Data labeling tasks involved classifying prompts and responses by topic and intent, validating factual accuracy, tagging risk-sensitive content, assessing answer completeness, and ensuring prompt-response alignment. The project size covered approximately XX,XXX labeled text samples, including single-turn and multi-turn QA pairs. Quality was ensured through standardized annotation guidelines, multi-level review, gold-standard test samples, and inter-annotator agreement checks, maintaining high accuracy, consistency, and safety compliance throughout the project.