A curated fine-tuning corpus for training signal-first somatic support models. Built on the NuroHeal framework, which prioritizes reading autonomic nervous system state before constructing any response.
527 annotated examples across three splits, plus derived SFT and DPO training layers. Every example includes full signal annotation: somatic markers, autonomic state, signal pattern, response mode, and a hidden signal read in strict… See the full description on the dataset page:
https://huggingface.co/datasets/nuroheal/nuro-signal-dataset.
