请问R1V2中的MPO数据集是如何构造的呢
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Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 15/100
- Issue type
- Documentation
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- machine-learning, python
- Domain
- data, machine-learning
Research direction
No files, tests, or entry points are identified in the issue. First locate the documentation or dataset-construction materials for MPO, MMPR, and the Skywork-VL reward model, then confirm whether they answer the three questions about data composition, reasoning traces, and chosen/rejected samples.
Written by the indexing model from the issue text.
Description
很不错的工作,关于文中的MPO,有几个问题想请教一下:
1、数据是MMPR数据集还是另外构造的呢,具体构成是什么样的呢
2、MPO用的数据集是带思考过程的吗
3、Skywork-VL reward model是用于构造chosen和reject的吗
- Dominant language
- Python
- Stars
- 3.2k
- Forks
- 282
- PR merge metrics
- No merged PRs in 30d
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