OpenGVLab / OpenGVLab/Ask-Anything
Discrepancy in Image ID Alignment Between M3IT and VideoChat2IT
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- Python
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Description
Could you please provide a script or JSON file of the ID map from M3IT to VideoChat2IT? Matching different files can be quite challenging. For example, coco llava minigpt4 paragraph_captioning textcaps (VideoChat2IT/caption) v.s. coco coco-cn flickr8k-cn image_paragraph_captioning msrvtt textcap (M3IT/captioning). In addition, the image IDs do not completely match; for instance, COCO images in VideoChat2IT have an additional directory compared to those in M3IT. I believe it would be beneficial to fully opensource this.
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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 by comparing the M3IT/captioning and VideoChat2IT/caption dataset layouts, including the listed dataset names and COCO directory structure. The work is done when a script or JSON mapping covers the requested IDs and makes the directory differences explicit.
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Assessment
- Tech stack
- python
- Domain
- data-engineering
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 32/100