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nuroheal/nuro-signal-dataset

NuroHeal Signal Dataset 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. Dataset Summary 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… See the full description on the dataset page: https://huggingface.co/datasets/nuroheal/nuro-signal-dataset.

sourceHugging Facecc-by-nc-4.0updated 5mo agoView on Hugging Face
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Dataset Card

NuroHeal Signal Dataset

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.

Dataset Summary

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 format.

Splits

SplitFileCountPurpose
traincanonical_train.jsonl407High + medium confidence examples
validcanonical_valid.jsonl70Low confidence examples (ambiguous signal)
testcanonical_test.jsonl50Held-out stress test, never used in training

Derived Training Files

FileCountPurpose
sft_train.jsonl407SFT messages format (system + user + assistant)
sft_valid.jsonl70SFT validation set
dpo_train.jsonl477Chosen/rejected pairs from contraindicated field

Signal Patterns (12)

frozenconflict shutdownnumbness mobilizedfear griefwave mobilizedanger attachmentalarm mobilizedrumination collapseafteractivation oscillatingactivationshutdown shameconstriction unclearpattern regulatedpresent

Response Modes (15)

signalreflection somaticlocalization nervoussystemnormalization griefsupport containment pacingdownshift statedifferentiation narrativedecentering agencyrestoration orientingquestion angerchanneling boundarysupport clarifyambiguity practicalregulationstep safetyescalation

Safety Architecture

Safety escalation examples include safetysubtype and resourcepolicy fields. Training targets use runtime slot markers {{988RESOURCE}}, {{CRISISTEXTRESOURCE}}, {{DVHOTLINE_RESOURCE}}, etc.) instead of hardcoded phone numbers. Actual resource text is injected at inference time.

Safety subtypes covered: SIplan SIpassive SIambiguous SIactive NSSI DVongoing DVescape DVcoercivecontrol DVpostongoingthreat medicaloverdose medicalemergency medicalshutdown substancecrisis angerselfalarm recklessindifference

Schema

See ONTOLOGY.md for the full signal ontology, pattern definitions, response mode specifications, and annotation guidelines.

Quota Manifests

trainquota.csv, validquota.csv, test_quota.csv in the repo root contain per-example metadata for distribution tracking.

Target Model

Designed for fine-tuning Mistral Nemo (12B) via LoRA SFT + DPO.

License

cc-by-nc-4.0 — NuroHeal nonprofit use. Not for commercial deployment.