Dataset · Hugging Face

ColamentosZJU/Drive-P2D

Name: Drive-P2D
Creator: ColamentosZJU
License: apache-2.0
Keywords: task_categories:question-answering, language:en, license:apache-2.0, size_categories:1K<n<10K, arxiv:2601.14702, region:us, autonomous-driving, vision-language-models, vlm, benchmark, perception-to-decision, reasoning-analysis, risk-aware-evaluation

Drive-P2D: A Progressive Perception-to-Decision Benchmark for VLMs in Autonomous Driving Paper (arXiv): https://arxiv.org/abs/2601.14702 Hugging Face Dataset: https://huggingface.co/datasets/ColamentosZJU/Drive-P2D Drive-P2D is a progressive perception-to-decision benchmark for evaluating Vision-Language Models (VLMs) across object-level perception, scene understanding, and driving decision-making in autonomous driving. It contains 6,650 questions across three levels: Object, Scene, and… See the full description on the dataset page: https://huggingface.co/datasets/ColamentosZJU/Drive-P2D.

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Author / organization	ColamentosZJU
License (as declared)	apache-2.0
Downloads	189 (as reported by Hugging Face)
Likes	2
Created	7 February 2026
Last updated at source	4 June 2026

autonomous-drivingvision-language-modelsvlmbenchmarkperception-to-decisionreasoning-analysisrisk-aware-evaluation

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