Canonical training dataset for the Gemma-9B-FT model featured in
"The Instrument Trap" v3 (Rodriguez, 2026).
This dataset trains the v3 headline model (internally logos29). It
extends instrument-trap-core (895 examples) with targeted
modifications that resolve a failure mode discovered during ablation:
identity-based honesty is fragile without structural anchoring.
Paper (v3): forthcoming
Paper (v2): DOI… See the full description on the dataset page:
https://huggingface.co/datasets/LumenSyntax/instrument-trap-extended.
