open-compass / open-compass/VLMEvalKit
Support for Heron-Bench
Open
Nobody has claimed this yet.
Feature Request
- Dominant language
- Python
- Stars
- 4.4k
- Forks
- 768
- Avg merge
- 1d 10h
- Merged PRs (30d)
- 17
Description
Please consider supporting Heron-Bench, a benchmark for evaluating VLMs' Japanese language capabilities, in VLMEvalKit.
https://arxiv.org/abs/2404.07824
Contributor guide
No contributing guide indexed for this repository
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 Heron-Bench paper to identify its data, evaluation procedure, and expected outputs. Then inspect existing benchmark integrations in VLMEvalKit to determine the relevant entry points and tests. Done means Heron-Bench is supported and its evaluation results can be reproduced through the toolkit.
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
- 35/100