PhysInOne: Visual Physics Learning and Reasoning Suite

PhysInOne is a suite for visual physics learning and reasoning. It was created by the vLAR Group and other academic and industry partners, including The Hong Kong Polytechnic University and Meta. The dataset was last updated on the Hugging Face platform in May 2026.

Use Cases

• Training models for visual physics question answering based on the described learning suite.
• Benchmarking AI reasoning capabilities on physics-based scenarios.
• Developing educational tools for physics instruction using visual data.

Strengths

• Created by a multi-institutional collaboration including academic and industry partners.
• Last updated on 2026-05-22, suggesting recent maintenance.

Limitations

• Row count, file formats, and column-level documentation are unknown, limiting suitability assessment.
• The description is truncated, requiring a visit to the dataset page for full details.

Provenance

Source

vLAR Group, The Hong Kong Polytechnic University, Syai Singapore, Meta

Freshness

Last updated 2026-05-22 09:47:47