LAION-AI / LAION-AI/CLIP_benchmark
add xm3600 for multilingual eval
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 reading the linked Crossmodal-3600 multilingual reference and inspect the repository's existing evaluation entry points and benchmark integrations. Determine how XM3600 should be represented and invoked, then confirm that the multilingual evaluation runs successfully and reports results consistently with the existing benchmarks.
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