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51,004 ShareGPT-formatted conversations designed to train large language models on tool-calling logic, including single-turn and multi-step reasoning. Released by @interstellarninja in late 2025, the data was generated using the Nous Research Atropos RL stack and a custom MultiTurnToolCallingEnv. The collection is specifically aligned with Berkeley Function Calling Leaderboard (BFCL) v3 evaluation scenarios.
Released under Apache-2.0 license; requires compatibility with OpenAI-style conversation templates for processing.