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SG4NLP is a research project that provides tools to generate synthetic NLP datasets using large language models for tasks such as intent detection, named entity recognition, and text similarity. It focuses on evaluating how effective synthetic data is as a benchmark for NLP tasks, with reference to a related paper. The repository includes data, generation modules, parsing utilities, and a runnable pipeline configurable via a config file and runner script.
AI named SG4NLP in January 2026.