Planes Trains Automobiles 25K: Master Scholar Reasoning Examples

PlanesTrainsAutomobiles_Archon_25k is a dataset of 25,000 examples designed to train reasoning in aviation, rail, and automotive engineering. It was created by WithinUsAI and emphasizes quantitative thinking, systems engineering, and safety assurance. The dataset was last updated on January 3, 2026.

Use Cases

• Train models for quantitative reasoning based on descriptions of aerodynamics and performance envelopes.
• Develop systems engineering analysis tools based on cross-domain trade studies described in the examples.
• Build safety assurance evaluation systems based on the dataset's emphasis on safety protocols.
• Create educational or training AI for aviation, rail, and automotive engineering concepts.

Strengths

• Contains 25,000 examples for training.
• Focuses on three distinct engineering domains: aviation, rail, and automotive.
• Emphasizes specific reasoning skills: quantitative thinking, systems engineering, and safety assurance.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is known, but the specific data format, file size, and sample data are unavailable.
• License information is unknown, which may restrict usage.

Provenance

Source

WithinUsAI

Freshness

Last updated 2026-01-03 17:20:32; freshness should be verified.