Data Version Control Cheat Sheet

Track datasets, experiments, and metadata

Last Updated: November 21, 2025

Core Concepts

Component Purpose
dvc.yaml Pipeline definition
.dvc Data pointer
remotes Storage backends

Commands

dvc repro
Reproduce pipeline
dvc push
Upload data
dvc metrics show
Track results

Tips

Version data changes, link experiments to GH PRs, and clean caches when needed.

💡 Pro Tip: Store lightweight pointers in Git, keep large data in remote storage, and document pipelines.
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