Verify evals on Papers with Code
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Description
Hi,
Niels here from the open-source team at Hugging Face. Congratulations on your work!
I've made the paper and 6 paper-native evaluations available on Papers with Code.
The paper has results on Audio Classification and Audio understanding task pages.
The CLAP (supervised) result currently ranks first on VGGSound.
The CLAP (HTSAT-RoBERTa, fusion, K2C Aug.; T->A) result currently ranks second on Clotho-v2.
The CLAP (HTSAT-RoBERTa, fusion, K2C Aug.; T->A) result currently ranks third on AudioCaps.
Would it be possible to verify these results and let me know if any score, model name, benchmark protocol, or openness metadata should be corrected?
You can also edit the task, methods, project page, and GitHub URL directly from the paper page using your Hugging Face account.
If you'd like to showcase the results in your repository README, you can copy these live leaderboard badges (or use the “Copy PwC badge” button in the Results section):
Kind regards,
Niels
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
Start with the linked Papers with Code paper and its six paper-native evaluation results, then compare the listed scores, model names, benchmark protocols, and openness metadata with the CLAP paper. Done means confirming the entries or reporting any corrections to the issue; no repository file or test is identified.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Active
- Clarity
- Mostly clear
- Newbie friendliness
- 50/100