Unity AR Learning Interaction Code Dataset

#Educational code generation #Unity C# code generation #Requirement-to-code conversion #Code SFT #AR course development #Interactive instruction #3D model manipulation #Learning workflow guidance

9632
0.5GB
JSON
CATL
MOBIUSI INC

Updated:2026-11-02

AI Analysis & Value Prop

This dataset pairs functional requirements for AR courses with corresponding Unity C# interaction implementations, covering teaching behaviors such as tap-to-display actions, model manipulation, step-by-step guidance, and learning-state transitions. The paired requirements and code help models learn to translate natural-language interaction instructions from educational settings into implementable AR teaching features. It is suitable for Unity AR education app development, code-generation model fine-tuning, and related capability evaluation.

Dataset Insights

Sample Examples

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Technical Specifications

Field	Type	Description
file_name	string	File name
unity_apis	array	Unity or AR Foundation APIs identified in the implementation.
csharp_code	string	The original Unity C# code implementing the AR interaction described by the requirement.
learning_action	string	A concise derived description of the learner-facing action supported by the implementation.
requirement_text	string	The original natural-language description of the educational AR interaction to implement.
interaction_category	string	The derived primary category of the AR teaching interaction.

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 pair AR course interaction requirements with Unity C# implementations. They cover teaching behaviors such as tap-to-display actions, model manipulation, step-by-step guidance, and learning-state transitions, with structured information on interaction category, learner-facing action, and identified Unity or AR Foundation APIs.

Which training and evaluation tasks does it support?: The dataset supports Code SFT for translating natural-language requirements from educational settings into Unity C# interaction code. It can also be used to evaluate AR teaching feature generation and requirement understanding.

What are the dataset size and file specifications?: The available information does not specify the sample count, file format, or data splits. Refer to the dataset listing or delivery package for these details, and verify code dependencies, field formats, and Unity environment compatibility before training.

How can I obtain the dataset, and what are the licensing terms?: The acquisition method and license are not specified in the available information. Contact the dataset provider or consult its listing to confirm download options, permitted use, commercial rights, and redistribution restrictions. Follow the provider's license when using the data or releasing models trained on it.

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Cite this Work

@dataset{Mobiusi2026,
  title={Unity AR Learning Interaction Code Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/54072bb5ff0703204af0d45880986757?dataset_task_cate_id=8},
  urldate={2026-10-22},
  keywords={Unity AR dataset,AR teaching code,Unity C# code generation,AR interaction development,educational code generation,code SFT data,AR course development,text-code dataset},
  version={1.0}
}

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