多轮对话数据构造的时候是否会有上下文不一致的问题
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Description
您好 readme中提到：
moss-moon-003-sft所使用的多轮对话数据，基于MOSS-002内测阶段采集的约10万用户输入数据和gpt-3.5-turbo构造而成
请问是将user prompt输入到chatgpt中一轮一轮来增量构造的吗？
那么是否会存在用户在第二轮提的内容在gpt第一轮中没有出现过，比如下面的示例：
user: 给我写一个快排
gpt: code.....
user: 你的代码里面的quicksort函数是什么意思
gpt:对不起我之前的回答里面并没有提到quicksort这个函数
这种情况是不是上下文的语义不太统一，开源的数据里面考虑过这种问题吗？
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the README passage describing moss-moon-003-sft and the MOSS-002 data collected with gpt-3.5-turbo. Determine how the multi-turn conversations were constructed and whether later user turns remain consistent with earlier assistant responses; done means documenting the finding and any data-quality handling.
Written by the indexing model from the issue text.
Assessment
- Domain
- data, machine-learning
- Issue type
- Bug
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100