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tuner/data_augment/README.md

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## Code Implementation
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This example adopts `run_react_agent` and `gsm8k_judge` from the [math-agent example](https://github.com/agentscope-ai/agentscope-samples/blob/main/tuner/math_agent/main.py) as `workflow_func` and `judge_func`, demonstrating that training strategies can be applied without altering core agent logic.
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### Agent Workflow & Judge Function
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This example follows the foundational [math-agent example](https://github.com/agentscope-ai/agentscope-samples/blob/main/tuner/math_agent/main.py), adopting its `run_react_agent` and `gsm8k_judge` as the `workflow_func` and `judge_func`, respectively. This highlights a key benefit: you can apply training strategies without altering your core agent logic.
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### Design of Data-Centric Features
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