Highway HD Map Lane Connectivity Reasoning Dataset

#Multi-hop logical reasoning #Lane reachability prediction #Connection path inference #Reasoning supervised fine-tuning #Highway HD maps #Autonomous driving map understanding #Road exit analysis #Lane connectivity validation
  • 4520
  • 0.4GB
  • JSON
  • CATL
  • MOBIUSI INCMOBIUSI INC
Updated:2026-11-03

AI Analysis & Value Prop

This dataset provides question-answer examples built around highway HD map lane segments and their predecessor, successor, and connection relationships. Samples cover reachability checks for specified lanes or road exits and inference of connecting paths, with topology data, questions, step-by-step reasoning, reachability results, paths, and concise answers. It supports reasoning supervised fine-tuning, map connectivity question answering, and evaluation of models for autonomous driving maps.

Dataset Insights

Sample Examples

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Technical Specifications

FieldTypeDescription
file_namestringFile name
reasoningstringA step-by-step explanation of the connectivity inference based on the provided lane topology.
final_answerstringA concise natural-language response to the connectivity question.
is_reachablebooleanIndicates whether the queried destination is reachable through the lane connectivity graph.
lane_topologystringHigh-definition map lane segments and their predecessor, successor, and connection relationships, serialized as JSON.
connection_patharrayThe ordered identifiers of lane segments along a valid connection path, or an empty list if no path exists.
connectivity_questionstringA question identifying the lane or road exit to evaluate and asking whether it is reachable.

Compliance Statement

Authorization TypeProprietary - Commercial AI Training License (No Redistribution)
Commercial UseRequires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and AnonymizationNo PII, no real company names, simulated scenarios follow industry standards
Compliance SystemCompliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Frequently Asked Questions

What does the dataset contain?
Examples are organized around highway HD map lane segments and their predecessor, successor, and connection relationships. They include connectivity questions, topology reasoning, reachability results, connection paths, and concise natural-language answers.
What capabilities can the dataset support?
It supports training models to perform multi-hop reasoning over lane topology, including determining whether a specified lane or road exit is reachable and inferring a valid connection path. It can also be used to evaluate related question-answering capabilities.
What are the dataset size and quality specifications?
The available information does not specify the sample count or quality metrics. Check the product listing for the actual dataset size, field examples, and quality notes, and sample the data to verify consistency between topology relationships and answers.
How can I access the dataset, and what are the license terms?
Check the dataset product page for available access methods, version information, and license terms. Before use or redistribution, confirm the permitted scope and any restrictions that apply to the underlying map data.

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Cite this Work

@dataset{Mobiusi2026,
  title={Highway HD Map Lane Connectivity Reasoning Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/5f469f9b294b7ce2f9bfae04b67920b4?dataset_scene_cate_type=6},
  urldate={2026-10-26},
  keywords={highway HD map dataset,lane connectivity reasoning,lane topology question answering,road reachability prediction,connection path inference,autonomous driving map data,multi-hop logical reasoning,reasoning SFT dataset},
  version={1.0}
}

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