I’m working on ModelLedger, an open standard for signed ML Model Bills of Materials. The core gap I've identified vs SPDX 3.0: no component types for ML-specific inputs (datasets, base weights, fine-tuning corpora) and no proportional contribution field. Before building a standalone format, I'd like to understand whether the SPDX AI & Dataset Profile is planning to address this, or whether a contribution/mapping would be welcome. Spec at https://github.com/epaunova/ModelLedger/blob/main/modelledger-spec/SPEC.md
I’m working on ModelLedger, an open standard for signed ML Model Bills of Materials. The core gap I've identified vs SPDX 3.0: no component types for ML-specific inputs (datasets, base weights, fine-tuning corpora) and no proportional contribution field. Before building a standalone format, I'd like to understand whether the SPDX AI & Dataset Profile is planning to address this, or whether a contribution/mapping would be welcome. Spec at https://github.com/epaunova/ModelLedger/blob/main/modelledger-spec/SPEC.md