Neurosurgical Procedure Sequence Constraint Evaluation Dataset
- Records
- 5000
- Size
- 0.3GB
- Format
- JSON
- Provider
MOBIUSI INC- Updated
- v1.02026-11-04
This JSON-structured benchmark represents neurosurgical procedure steps and their prerequisites, dependencies, incompatibilities, and ordering constraints, alongside candidate sequences and reference violation labels. It supports evaluation of a model’s ability to detect ordering errors, missing dependencies, and constraint conflicts, and is designed for structured constraint verification and domain benchmarking.
Overview
Dataset Insights
Preview
Sample Examples
Schema
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| candidate_sequence | array | The proposed ordered sequence of procedure step identifiers to be checked against the defined constraints. |
| procedure_constraints | object | The defined procedure steps and their prerequisite, dependency, incompatibility, and ordering constraints. |
| constraint_check_summary | object | A computed summary of whether the candidate sequence satisfies the procedure constraints. |
| reference_violation_labels | array | The benchmark-provided standard labels identifying constraint violations in the candidate sequence. |
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 benchmark contain?
- The JSON data includes procedure steps and their prerequisites, dependencies, incompatibilities, and ordering constraints. It also provides candidate sequences, reference violation labels, and a constraint-check summary.
- Which model capabilities can it evaluate?
- It can support evaluation of whether a model detects step-order errors, missing prerequisite dependencies, and conflicts between incompatible operations, and can help compare model outputs with benchmark labels. Results depend on the model, evaluation method, and data usage.
- How can I obtain and use the data?
- Use the delivery method provided on the product page or data platform, and follow the accompanying JSON structure and documentation for parsing and evaluation. The information provided does not specify dataset size or file delivery details, so check the product listing before purchase.
- Is this data suitable for clinical surgical guidance?
- No. It is intended for model evaluation, research, and educational use, and does not replace validated clinical workflows, professional medical judgment, or surgical guidance. Check the product listing for the applicable license terms; no specific license is provided in the available information.
Can't find the data you need?
Post a request and let data providers reach out to you.
Get this Dataset
High-quality data, ready for your next AI breakthrough.
Cite this Work
@dataset{Mobiusi2026,
title={Neurosurgical Procedure Sequence Constraint Evaluation Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/756f67416f8c4cf483b84da18b5a04cb?dataset_scene_cate_type=3},
urldate={2026-10-13},
keywords={neurosurgery evaluation dataset,surgical workflow data,procedure step ordering,constraint verification dataset,medical AI benchmark,workflow dependency reasoning,surgical operation conflicts,JSON benchmark data},
version={1.0}
}Using this in research? Please cite us.