datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ai-reward-channel-attack-surface-coherence-collapse-v0.1
What this dataset is
This dataset models reward tampering as a coherence collapse.
It tracks when the link between task success and reward breaksbecause the agent starts interacting with the reward channel itself.
What it tests
Given a scenario you output:
collapse_flag
collapse_driver
channel_coherence_score
minimal_mitigation_set
What the fields mean
channel_coherence_scoreHow well reward still tracks intended task success0 means fully broken1 means… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/ai-reward-channel-attack-surface-coherence-collapse-v0.1.clinical-quad-trial-collapse-surface-v0.2Clinical Quad Trial Collapse Surface v0.2
What this dataset does
It tests whether a model can classify when a trial moves onto a collapse surface.
You get four coupled signals.
enrollment_stability
protocol_stress
data_integrity
safety_signal
You return a label.
0 coherent
1 tradeoff
2 collapse
How to read the labels
0 coherent
stable enrollment
low to medium stress
clean data
no safety signal
1 tradeoff
strain exists
credibility still holds
risk is rising
2… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-trial-collapse-surface-v0.2.clinical-quad-trial-collapse-surface-v0.1
Clinical Quad Trial Collapse Surface v0.1
Overview
This dataset models structural instability in clinical trials using four coupled nodes:
Intervention
Patient subgroup
Trial endpoint
Sponsor pressure
Failure emerges not from one variable but from quad misalignment.
Task
Input: structured quad stateOutput: stability classification
Labels:
0 — Stable1 — Drift2 — Collapse
Why This Matters
Traditional evaluation isolates safety or efficacy.
This… See the full description on the dataset page: https://huggingface.co/datasets/ClarusC64/clinical-quad-trial-collapse-surface-v0.1.