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metadata
language:
  - en
license: mit
pretty_name: F1 Decoherence Trigger Localization v0.1
dataset_name: f1-decoherence-trigger-localization-v0.1
tags:
  - clarusc64
  - f1
  - telemetry
  - reliability
  - trigger-detection
task_categories:
  - tabular-classification
size_categories:
  - 1K<n<10K
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train.csv
      - split: test
        path: data/test.csv

What this dataset tests

Whether an intelligence system can identify the initiating disturbance that caused telemetry coherence to collapse across components.

The goal is not detecting failure.
The goal is identifying the trigger.

Required outputs

  • trigger_event
  • trigger_lap
  • initiating_component
  • correlation_drop
  • propagation_direction
  • immediate_failure_risk

Use case

Layer two of the Failure Cascade Graph trinity.

Used for:

  • predictive failure analysis
  • telemetry root-cause detection
  • race engineering diagnostics

Evaluation

The scorer checks:

  • numeric validity
  • presence of all required fields
  • structural correctness
  • trigger identification completeness