Closed-Campus HD Map Connectivity Reasoning Dataset
- Records
- 5000
- Size
- 0.4GB
- Format
- JSON
- Provider
MOBIUSI INC- Updated
- v1.02026-11-04
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.
Overview
Dataset Insights
Preview
Sample Examples
Schema
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. |
Trust
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
FAQ
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}
}Using this in research? Please cite us.