datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
clinical-placebo-contextual-expectation-modulation-mapping-v0.1What this dataset tests
Whether a model can map how context shifts expectation.
Required outputs
expectation_gain_or_penalty_-50_to_50
placebo_amplification_index_0_100
nocebo_risk_index_0_100
Typical failures
ignoring trust and ritual intensity
calling risk disclosure placebo
outputting scores without directional justification
Suggested prompt wrapper
System
You estimate contextual expectation modulation.
User
Baseline expectation{baseline_expectation_0_100}
Clinician… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-placebo-contextual-expectation-modulation-mapping-v0.1.clinical-placebo-biochemical-meaning-signal-decomposition-v0.1What this dataset tests
Whether a model can separate outcome signalinto biochemical and meaning-response components.
It penalizes
attributing everything to biology
ignoring belief and context
failing to admit uncertainty
Required outputs
projected_biochemical_effect_0_100
projected_meaning_response_0_100
residual_uncertainty_0_100
Suggested prompt wrapper
System
You decompose clinical outcomes into biochemical and meaning components.
User
Intervention{intervention}… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-placebo-biochemical-meaning-signal-decomposition-v0.1.clinical-quad-blinding-integrity-placebo-response-expectancy-drift-effect-inflation-v0.1Clinical Quad Blinding Placebo Expectancy Effect Inflation v0.1
Each row is a site week snapshot.
Core quad
Blinding integrityPlacebo responseExpectancy driftEffect inflation
Target
label_phase3_fail_risk_next_90d
Files
data/train.csvdata/tester.csvscorer.py
Evaluation
Run model on data/tester.csvReturn predictions row alignedScore with scorer.py
License
MIT