mlfoundations / mlfoundations/datacomp
Downloading Commonpool XLarge
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 792
- Forks
- 65
- PR merge metrics
- No merged PRs in 30d
Description
Hi all thank you for the great package. I'm currently running into issues downloading Commonpool X-Large with Pyspark. I've downloaded the metadata files and uploaded them to S3, however my Spark pipelines seem to continually fail after some time. I'm using the same setup as above, but am wondering if I have setup something incorrectly.
Would it be possible to share the configuration you used to download Commonpool X-Large?
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 with the linked distributed_img2dataset_tutorial.md and compare its Commonpool X-Large setup with the reported metadata files, S3 upload, and Spark pipeline. Determine whether the repository contains a documented configuration or reproducible failure path; done would require a verified configuration or clearer troubleshooting guidance.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- aws, python, spark
- Domain
- data-engineering, distributed-systems
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100