tensorflow / tensorflow/datasets
Compress our repo size
Open
Nobody has claimed this yet.
enhancement
- Dominant language
- Python
- Stars
- 4.6k
- Forks
- 1.6k
- Avg merge
- 3h 54m
- Merged PRs (30d)
- 1
Description
Currently, our repo is huge (~1GB with git clone). We should try to find way to reduce its size.
- Reduce the repo size through
git gc(git gc --aggressive --prune=nowdoesn't seems to work ?) - Maybe split the repo in smaller independent repo ?
- Is there a way to special case the fake data and testing folders as those two folder takes up most of the space.
Contributor guide
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 measuring the repository and testing whether git gc --aggressive --prune=now reduces its clone size. Investigate the fake data and testing folders identified as the main contributors, then evaluate whether special handling or splitting the repository is appropriate. Done means a documented, practical plan that measurably reduces repository size.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- git
- Domain
- tooling
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100