Robotaxi Road Rules and Access Restrictions Relation Extraction Dataset

#Knowledge graph relation extraction #Road rule recognition #Entity recognition and normalization #Rule structuring #Robotaxi operational maps #Road rule parsing #Autonomous driving access decisions #Map knowledge base construction

5620
0.4GB
JSON
CATL
MOBIUSI INC

Updated:2026-11-03

AI Analysis & Value Prop

Designed for Robotaxi operational maps, this dataset organizes information on road signs, lane access rules, vehicle-class restrictions, and applicable time periods, normalizing regulations from source text into structured rules. It includes road and lane entities, applicable vehicle classes and time periods, directed knowledge graph relations, and extraction confidence scores from 0 to 1. Use it to build and query Robotaxi map knowledge bases and support research on road-rule understanding and access decisions.

Dataset Insights

Sample Examples

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Technical Specifications

Field	Type	Description
file_name	string	File name
relations	array	Directed relations connecting a regulation, road, lane, vehicle class, or time condition.
lane_entities	array	Lanes identified as targets or subjects of the extracted rules.
road_entities	array	Roads identified as targets or subjects of the extracted rules.
regulation_rule	object	Normalized rule extracted from the source material.
source_material	string	Original text describing road signs, lane access rules, vehicle restrictions, or applicable conditions.
extraction_confidence	number	Confidence score for the extracted rule and its associated relations, ranging from 0 to 1.
applicable_time_periods	array	Time intervals or recurring schedules during which the rule applies.
applicable_vehicle_classes	array	Vehicle classes to which the rule applies or from which access is restricted.

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?: It covers source text describing road signs and access regulations, normalized rules, road and lane entities, applicable vehicle classes and time periods, knowledge graph relations, and extraction confidence scores.

How are the extracted results represented?: Rules and entities are organized in structured fields, while relations are represented as directed connections. Confidence scores range from 0 to 1 and can help prioritize results for filtering or review.

How can I access the data, and which file formats are available?: The available information describes the dataset fields but does not specify delivery methods or file formats. Confirm supported formats, sample records, and delivery scope with the provider before purchase or download.

What are the licensing terms and intended uses?: The dataset is intended for Robotaxi map knowledge base construction, road-rule relation extraction, and related development. Check the provider's license for commercial-use terms, permitted redistribution, and other restrictions.

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Cite this Work

@dataset{Mobiusi2026,
  title={Robotaxi Road Rules and Access Restrictions Relation Extraction Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/46967c2490364bf66fb2d2a56819cb4d},
  urldate={2026-10-22},
  keywords={Robotaxi dataset,road rule extraction,access restriction data,knowledge graph extraction,lane access rules,autonomous driving maps,vehicle class restrictions,map knowledge base},
  version={1.0}
}

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