Datasets:
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