Cabin Safety Incident Risk Classification, 2004-2024

Global cabin abnormal event reports from 2004 to 2024, used to train a risk classification model. The dataset contains 8,280 reports and was created by Lianbin Zhou. It was last updated on 2026-05-27.

Use Cases

• Training text classification models based on incident report narratives.
• Mapping text features to risk levels for interpretable risk quantification.
• Benchmarking machine learning models for aviation safety risk assessment.

Strengths

• Contains 8,280 global incident reports spanning 20 years (2004-2024).
• Served as the basis for a model achieving 95.01% accuracy and 94.17% F1 score.
• Released under a permissive CC-BY-4.0 license.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small at 5.5 KB, indicating limited scope.

Provenance

Source

figshare

Collection Method

Likely compiled from global cabin abnormal event reports.

Time Range

2004-2024

Freshness

Last updated 2026-05-27 17:40:04; freshness should be verified.

Geography

Global