数据质量
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- Dominant language
- Python
- Stars
- 12.3k
- Forks
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Description
请教如何评估微调数据的质量，有哪些指标和方法？
Contributor guide
No contributing guide indexed for this repository
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
The issue contains no file, test, or entry point to inspect. Start by clarifying whether the project needs documentation about fine-tuning data quality, and define the metrics, evaluation methods, and documentation location before work begins; done should mean the requested guidance is documented and reviewable.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- machine-learning
- Domain
- data, machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100