data versioning

'Just set a seed' misses the point. Reproducibility means pinning the environment, the data, the code, and the hardware-level nondeterminism together. Here is the full checklist and where it springs leaks.

You cannot put a 2 TB dataset in git, and copying it per experiment bankrupts you. What matters is knowing how content-addressed versioning works and when file-level (DVC) versus branch-level (lakeFS) fits. Here is the decision.