Lifecycle & Release
What happens once the data is built: proving it, documenting it, releasing it and keeping it alive. These stages apply to every modality above.
Shared across release & lifecycle
- Evaluation & benchmarking
- Data integrity & contamination control
- Documentation (datasheets, data statements, model cards)
- Licensing & publishing
- Discoverability, versioning & long-term maintenance
Stages
- Evaluation, benchmarking & data integrity – (benchmarks, leakage, contamination control)
- Documentation, release & sustainability – (datasheets, licensing, hosting, sustainability)
- Dataset lifecycle & release checklist – (maintenance, post-release strategy, release checklist)
Contributor
