mlfoundations / mlfoundations/evalchemy
Request to add Debug mode
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Description
Currently the eval script supports running through benchmarks as a whole. Would be nice if we can have a debug mode that test for evaluating one example or similarly a num_example mode that allows evaluating on a subset of a benchmark.
Contributor guide
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 by locating the eval script and the code that iterates through benchmark examples. Check how evaluation arguments are parsed and run the existing benchmark flow first. Done means a debug or num_example option can evaluate one example or a specified subset without processing the entire benchmark.
Written by the indexing model from the issue text.
Assessment
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100