---
language:
  - en
license: mit
pretty_name: Fusion Cross-Field Decoherence Precursor Detection v0.1
dataset_name: fusion-cross-field-decoherence-precursor-detection-v0.1
tags:
  - clarusc64
  - fusion
  - plasma-stability
  - decoherence
  - disruption
task_categories:
  - tabular-classification
  - tabular-regression
size_categories:
  - n<1K
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train.csv
      - split: test
        path: data/test.csv
---

What this dataset tests

Whether a system can detect early decoherence  
across three linked stability surfaces:

- magnetic stability  
- temperature gradient structure  
- impurity behavior

The goal is not to detect quench.  
The goal is to detect the precursor window  
10 to 100 milliseconds before quench.

Required outputs

- decoherence_precursor_flag  
- onset_ms_before_quench  
- precursor_pattern_label  
- disruption_risk_score  
- confidence_score  

Use case

Layer 2 of COH-FUSION-001  
Plasma Stability Coherence Collapse.

Why it matters

Plasma disruption is preceded by  
cross-field correlation loss.

This dataset trains systems  
to flag that loss early.