Guidance on reproducing results on MMLU, HumanEval, and CommonGen
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- Python
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Description
Hi Authors,
Thanks for your good work. I would like to know how to reproduce the results in your paper on MMLU, HumanEval, and CommonGen tasks?
Best
Contributor guide
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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
The issue names MMLU, HumanEval, and CommonGen but provides no files, tests, or entry points. Start by locating the repository’s evaluation or benchmark instructions, then document the commands, versions, and data needed to reproduce each named result. Done means a newcomer can run all three tasks and compare the outputs with the paper.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100