Lightning-AI / Lightning-AI/litData
Add training mode compression for zstd
Open
Nobody has claimed this yet.
enhancement
help wanted
- Dominant language
- Python
- Stars
- 614
- Forks
- 106
- Avg merge
- 15h 8m
- Merged PRs (30d)
- 22
Description
## 🚀 Feature
### Motivation
https://github.com/facebook/zstd
https://python-zstandard.readthedocs.io/en/latest/dictionaries.html
### Pitch
### Alternatives
### Additional context
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 reviewing the linked zstd project and the python-zstandard dictionaries documentation to understand training-mode compression and dictionary support. The issue does not name files, tests, or an implementation entry point; done would mean defining and implementing the requested training-mode compression behavior in litData.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data-engineering
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100