Co-Simulation Scheduling and Time Synchronization Code Understanding Dataset
#code understanding #scheduling logic analysis #synchronization reasoning #co-simulation system development #simulation scheduling optimization #time synchronization analysis
- 5000
- 0.3GB
- JSON
- CATL
MOBIUSI INC
Updated:2026-10-19
AI Analysis & Value Prop
This dataset contains source code understanding samples focused on co-simulation master controllers and scheduling components, including simulation step sizes, execution order, time advancement, and synchronization control. Each sample pairs source code with an analysis question and an answer, and includes explanations of control flow, execution order, and timing relationships. It supports code SFT training and evaluation for understanding scheduling implementations in co-simulation tools, rather than generating or configuring simulation models.
Dataset Insights
Sample Examples
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Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| source_code | string | Source code from a co-simulation master controller or scheduling component to be analyzed. |
| execution_order | array | An ordered list of co-simulation components or scheduling stages, with an explanation of each stage. |
| analysis_question | string | A code understanding task or analysis question about the source code. |
| understanding_answer | string | An accurate answer based on the source code that explains the scheduling implementation and its key behaviors. |
| control_flow_explanation | string | An explanation of the call path, branch conditions, loop behavior, and changes in control flow across scheduling-related functions or modules. |
| timing_and_synchronization_explanation | string | An explanation of simulation step sizes, time advancement methods, synchronization conditions, and timing relationships between components. |
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 focus on source code from co-simulation master controllers or scheduling components. They include analysis questions, understanding answers, control flow explanations, execution order, and descriptions of time advancement and synchronization relationships.
- How does the dataset support learning scheduling logic?
- Source code is paired with questions and answers, with additional explanations of call paths, branch and loop behavior, execution stages, and timing relationships. This supports training or evaluating a model's ability to understand scheduling implementations.
- What are suitable use cases?
- Suitable uses include code SFT, code analysis for co-simulation tools, scheduling logic question answering, and model capability evaluation. The focus is on understanding existing implementations, not generating or configuring simulation models.
- How can I obtain the data, and what are the licensing terms?
- Refer to the dataset product page for acquisition options, file specifications, and license terms. Before use, check the permitted scope and confirm that it covers your intended training, evaluation, or research activities.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2026,
title={Co-Simulation Scheduling and Time Synchronization Code Understanding Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/db795507f7c36da5ca14bbbaa7296ded},
urldate={2026-10-10},
keywords={co-simulation code dataset, simulation scheduling code, time synchronization analysis, co-simulation controller, code SFT training data, control flow analysis, simulation step size, model integration tools},
version={1.0}
}Using this in research? Please cite us.
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