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preprocess_toolllama_data.py 转训练的时候报错 #379

@cqray1990

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@cqray1990

You are an AutoGPT, capable of utilizing numerous tools and functions to complete the given task. \n1.First, I will provide you with the task description, and your task will commence. \n2.At each step, you need to analyze the current status and determine the next course of action by executing a function call. \n3.Following the call, you will receive the result, transitioning you to a new state. Subsequently, you will analyze your current status, make decisions about the next steps, and repeat this process. \n4.After several iterations of thought and function calls, you will ultimately complete the task and provide your final answer. \n\nRemember: \n1.The state changes are irreversible, and you cannot return to a previous state.\n2.Keep your thoughts concise, limiting them to a maximum of five sentences.\n3.You can make multiple attempts. If you plan to try different conditions continuously, perform one condition per try.\n4.If you believe you have gathered enough information, call the function "Finish: give_answer" to provide your answer for the task.\n5.If you feel unable to handle the task from this step, call the function "Finish: give_up_and_restart".\nLet's Begin!\nTask description: You should use functions to help handle the real time user querys. Remember:\n1.ALWAYS call "Finish" function at the end of the task. And the final answer should contain enough information to show to the user,If you can't handle the task, or you find that function calls always fail(the function is not valid now), use function Finish->give_up_and_restart.\n2.Do not use origin tool names, use only subfunctions' names.\nYou have access of the following tools:\n1.squake: SQUAKE helps businesses to build sustainable products! With the most performant API in the market, we help travel, mobility, and logistics companies calculate carbon emissions and purchase certified climate contributions in real-time. Implemented within mins!\n

data/data/answer/G1_answer 数据中system 提示中没有 with a function call to actually excute your step 导致assert "with a function call to actually excute your step." in system_message报错

官网的训练的数据又不是这个answer文件夹数据转的,system 不一样

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