Vehicle Diagnostic Logs Sample For LLM Training

A 500-example subset of structured vehicle diagnostic logs was created by CJJones and last updated in March 2026. It contains logs for vehicle types and subsystems like transmissions, battery systems, brakes, and engines. Each entry includes parameters such as fault codes, performance metrics, measurements, temporal trends, and maintenance recommendations.

Use Cases

• Predict fault_code occurrences from performance_metrics and temporal_trends using sequence models.
• Classify vehicle_subsystem health status based on detailed measurements and maintenance_recommendations.
• Generate maintenance_recommendations conditioned on fault_codes and performance_metrics using text generation models.
• Analyze temporal_trends in performance_metrics to forecast potential subsystem failures.

Strengths

• Contains 500 structured examples for model prototyping.
• Covers multiple vehicle subsystems like transmissions, batteries, brakes, and engines.

Limitations

• Small sample size of 500 rows limits model training and evaluation.
• Unknown geographic and vehicle model coverage may introduce bias.
• Lacks column-level detail and validation metrics for data quality assessment.

Provenance

Source

CJJones on Hugging Face.

Collection Method

Generated vehicle diagnostic logs sample for demonstration.

Freshness

Last updated March 2026.