open-compass / open-compass/VLMEvalKit
[Feature Support Request] SimpleVQA
Open
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 4.4k
- Forks
- 768
- Avg merge
- 1d 10h
- Merged PRs (30d)
- 17
Description
SimpleVQA: Multimodal Factuality Evaluation for Multimodal Large Language Models
https://arxiv.org/pdf/2502.13059
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 SimpleVQA paper and inspecting existing benchmark integrations in VLMEvalKit. The issue names no target files, tests, entry points, dataset details, or acceptance criteria, so clarify the required data and evaluation behavior first. Done means SimpleVQA support is implemented and verified within the toolkit.
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
- 20/100