Dataset · Hugging Face

tangzx2024/CoLT-Drive

Name: CoLT-Drive
Creator: tangzx2024
License: apache-2.0
Keywords: task_categories:visual-question-answering, language:en, license:apache-2.0, size_categories:1K<n<10K, arxiv:2609.00242, region:us, autonomous-driving, counterfactual, long-tail, decision-making, vision-language-model

CoLT-Drive A counterfactual long-tail benchmark for driving decisions. The driving context (road geometry, ego pose, navigation command, motion history) is held fixed and only the object in the scene changes. The benchmark asks whether a model's decision updates when it should and holds when it should not. Paper: arXiv:2609.00242, EMNLP 2026 Findings Code: github.com/TangZhengxu/CoLT-Drive Task Given a front-camera image and the driving context, output one… See the full description on the dataset page: https://huggingface.co/datasets/tangzx2024/CoLT-Drive.

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Author / organization	tangzx2024
License (as declared)	apache-2.0
Downloads	404 (as reported by Hugging Face)
Likes	0
Created	30 August 2026
Last updated at source	23 September 2026

autonomous-drivingcounterfactuallong-taildecision-makingvision-language-model

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CoLT-Drive: Counterfactual Long-Tail Benchmarking and Knowledge-Preserving Adaptation for Driving Affordance PredictionPaper · cites

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CoLT-Drive: Counterfactual Long-Tail Benchmarking and Knowledge-Preserving Adaptation for Driving Affordance PredictionPaper

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