mlfoundations / mlfoundations/datacomp
About update metadata with the corresponding image sample in shards
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- Dominant language
- Python
- Stars
- 792
- Forks
- 65
- PR merge metrics
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Description
Hi all, thanks for your great work!! I want to ask some relevant technical questions: I have used dataset2metadata to generate the metadata set from the 'shards' and store some 'post_process_feature' like a mask in the metadata. However, I want to update the metadata with some new values which will need to calculate the clip score after masking the image data, and thus I need to get the image/text data from shards that exactly align with the uid of corresponding metadata so that I can choose the right mask. I wonder if there is any relevant function in datacomp/dataset2metadata has achieve similar function or provide some insights? Or I need to do something like align the uids of metadata and raw data?
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- Read the whole issue, then the project's contributing guide.
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Research direction
Start with datacomp/dataset2metadata and inspect how metadata is generated from shards, including how UIDs and post_process_feature values are handled. Determine whether the existing path aligns image/text samples by UID for masked clip-score calculation, then define and validate the required metadata update workflow.
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Assessment
- Tech stack
- python
- Domain
- data-engineering, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100