Closed-Campus HD Map Connectivity Reasoning Dataset

Name: Closed-Campus HD Map Connectivity Reasoning Dataset
Creator: MOBIUSI INC
Published: 2026-10-19
License: https://creativecommons.org/licenses/by-nc-sa/4.0/

#topology reasoning #connectivity analysis #spatial relationship reasoning #closed-campus navigation #high-definition map analysis #autonomous vehicle route connectivity

5000
0.4GB
JSON
CATL
MOBIUSI INC

Updated:2026-10-19

AI Analysis & Value Prop

This question-answer dataset covers road, lane, intersection, and topological connection facts for closed-campus environments. Each sample can include map facts, a connectivity question, a reachability label, an ordered path-node sequence, a reasoning trace, and a natural-language answer. It supports reasoning SFT and evaluation of reachability judgments, path existence, and multi-hop connectivity inference from HD map topology.

Dataset Insights

Sample Examples

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Technical Specifications

Field	Type	Description
file_name	string	File name
question	string	A question about the map facts, such as node reachability, path existence, or a multi-hop connection.
map_facts	string	Topology facts about campus roads, lanes, intersections, and their connections, provided as JSON text or another structured text format.
reasoning	string	Explains how the connectivity conclusion follows from the nodes and connections in the map facts.
path_nodes	array	Lists the road, lane, or intersection nodes along the path in travel order when a path exists; an empty array indicates no path.
answer_text	string	A user-facing natural-language answer summarizing the connectivity conclusion and relevant path information.
is_reachable	boolean	Indicates whether a feasible connecting path exists between the nodes referenced in the question, based on the map topology.

Compliance Statement

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

Frequently Asked Questions

What does the dataset contain?: Samples cover campus roads, lanes, intersections, and their connections. They include structured map facts, connectivity questions, reachability labels, path-node sequences, reasoning traces, and natural-language answers.

Which reasoning tasks does it support?: The data can support judgments about reachability between nodes, path existence analysis, prediction of nodes along a path, and multi-hop connectivity reasoning from map topology.

What are the dataset size and quality specifications?: The available information does not specify the sample count or detailed quality metrics. The schema includes questions, conclusions, paths, and reasoning explanations, enabling checks between answers and map facts. Refer to the product listing for the actual size and delivery specifications.

How can I access the data, and what license applies?: Check the dataset product page for available download or delivery options, license terms, and commercial-use scope. Contact the provider before purchase if you need a particular format or licensing clarification.

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Cite this Work

@dataset{Mobiusi2026,
  title={Closed-Campus HD Map Connectivity Reasoning Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/9ca77f40f433d3af6211e20a6885ec0b?dataset_scene_cate_type=6},
  urldate={2026-10-19},
  keywords={closed-campus HD map dataset,map connectivity reasoning,road topology data,node reachability,path reasoning QA,autonomous driving map data,reasoning SFT dataset,multi-hop connectivity},
  version={1.0}
}

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