LAION-AI / LAION-AI/CLIP_benchmark
Add compositionality benchmarks
Open
Nobody has claimed this yet.
new datasets
- Dominant language
- Python
- Stars
- 814
- Forks
- 103
- PR merge metrics
- No merged PRs in 30d
Description
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 reviewing the CREPE paper and repository and the ARO repository linked in the issue, then inspect the existing benchmark structure in CLIP_benchmark. Clarify which compositionality benchmarks, datasets, and metrics are in scope before integrating them. Done means the agreed benchmarks run through the project's evaluation path and produce verifiable results.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning, testing-qa
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 28/100