What does sequential fine-tuning do to what a model already learned? This
dataset is a results ledger with receipts: every row of
results/results.csv links to the raw run file it came from
(results/raw/), every transcription is hand-checked (results/PROVENANCE.md),
and invalid runs are disclosed, not deleted.
Seeded from ModelBrew's archival continual-learning runs (2026). Community
submissions welcome — see protocol/PROTOCOL.md.… See the full description on the dataset page:
https://huggingface.co/datasets/ModelBrew/sequential-forgetting-benchmark.
