Examples for BOTS #353
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Examples for BOTS #353
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Summary of ChangesHello @ShenQianli, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed! This pull request initiates the integration of the BOTS framework into the examples section of the repository. It introduces a new directory and a README file, signaling the start of development for the 'Trinity version' of the code, which focuses on Bayesian Online Task Selection for LLM Reinforcement Finetuning. The current state is a work in progress, laying the groundwork for future contributions. Highlights
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Code Review
This pull request introduces a README.md for the BOTS example, which is currently a work in progress. The README provides a title, a link to the associated paper, and information about the code's status. I've provided a couple of suggestions to improve the file, including updating a placeholder link and ensuring the file ends with a newline for consistency with standard practices.
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Several modifications are made in this PR as well:
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yanxi-chen
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November 6, 2025 15:25
pan-x-c
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/unittest-module-common |
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Consider add a cross-link at
* 📊 面向数据工程师。[[教程]](https://modelscope.github.io/Trinity-RFT/zh/main/tutorial/develop_operator.html)
- 设计针对任务定制的数据集，构建处理流水线以支持数据清洗、增强以及人类参与场景
- 示例：[数据处理基础](https://modelscope.github.io/Trinity-RFT/zh/main/tutorial/example_data_functionalities.html) [在线任务选择](xxx)
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Done @yxdyc. |
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Description
Trinity version code for BOTS: A Unified Framework for Bayesian Online Task Selection in LLM Reinforcement Finetuning.
Checklist
Please check the following items before code is ready to be reviewed.