neuropoly / neuropoly/SmaugLab
new benchmarks
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 8
- Forks
- 0
- Avg merge
- 5d 2h
- Merged PRs (30d)
- 11
Description
Incorporate new datasets into our benchmark:
Dataset-multi-subject: train on all existing, inference on it, sort out. Done
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 benchmark entry points and any existing dataset configuration or training and inference scripts, then search for Dataset-multi-subject. Determine how the dataset should be incorporated into training and inference; completion requires the benchmark to run with it and the intended results or sorting to be documented.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100