Numerical Solver Configuration Code Completion Dataset
- Records
- 5000
- Size
- 0.3GB
- Format
- JSON
- Provider
MOBIUSI INC- Updated
- v1.02026-11-05
Designed for physics and engineering simulation scripts, this dataset covers solver types, time steps and end times, iteration limits, convergence tolerances, linear and nonlinear solvers, and preconditioner settings. Each sample centers on an existing script context and its corresponding code completion, with key solver parameters provided as structured fields to help models learn context-aware numerical configuration. It supports code completion training, simulation script development, and evaluation of solver configuration generation.
Overview
Dataset Insights
Preview
Sample Examples
Schema
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| end_time | number | The termination time configured for a transient simulation. |
| time_step | number | The time step configured for time integration or transient simulation. |
| solver_type | string | The solver type configured in the completion, such as a direct solver, iterative solver, or Newton solver. |
| input_context | string | An existing simulation script snippet provided as context for model completion. |
| linear_solver | string | The solver or algorithm configuration used for linear subproblems. |
| max_iterations | integer | The maximum number of iterations allowed for the solver or nonlinear iteration process. |
| preconditioner | string | The preconditioning method configured for iterative linear solving; may be left empty when none is configured. |
| completion_code | string | The solver configuration code snippet generated to complete the input script context. |
| nonlinear_solver | string | The solver or iterative algorithm configuration used for nonlinear problems. |
| absolute_tolerance | number | The absolute error tolerance used to determine solver convergence. |
| relative_tolerance | number | The relative error tolerance used to determine solver convergence. |
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?
- It contains existing simulation script contexts and corresponding solver configuration completions, with fields for solver type, time step, end time, maximum iterations, absolute and relative tolerances, linear and nonlinear solver options, and preconditioners.
- Which training or evaluation tasks does it support?
- It is primarily designed for code completion, solver configuration generation, and simulation script continuation. It can also evaluate whether a model can infer and complete numerical solver settings from existing code context.
- How can I check the dataset specifications and quality?
- Data is organized as script contexts, completion code, and structured parameter fields. Check the product page and sample files for the available sample count, code formats, and supported software environments. Before use, review sample compatibility with your target simulation environment.
- How can I access the dataset?
- Check the product page for the available version, file formats, and access method, then download or request access according to the instructions provided.
- How can I confirm the dataset license?
- Permitted use depends on the license terms listed on the product page. Before training, evaluation, or commercial use, verify that the license covers your intended use and check for redistribution or attribution requirements.
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Cite this Work
@dataset{Mobiusi2026,
title={Numerical Solver Configuration Code Completion Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/9f607dec391d31313be296d1e101dc07?dataset_scene_id=20},
urldate={2026-10-19},
keywords={numerical solver,code completion dataset,simulation code generation,solver configuration,convergence tolerance,linear solver,nonlinear solver,engineering simulation,code SFT},
version={1.0}
}Using this in research? Please cite us.