Datasets:

odenmehmet
/

TRObject-Dataset-Test

language:
  - tr
  - en
license: apache-2.0
tags:
  - trobject
  - clomosy
  - code-generation
  - instruction-dataset
  - natural-language-to-code
  - llm-fine-tuning
  - turkish
  - domain-specific-llm
  - text-generation
task_categories:
  - text-generation
pretty_name: TRObject Code Generation Instruction Dataset
size_categories:
  - n<1K

TRObject Code Generation Instruction Dataset

This dataset contains natural language instructions paired with TRObject code outputs.

It was created for fine-tuning and evaluating domain-specific LLMs that generate TRObject code for Clomosy-style mobile application development.

Dataset Description

TRObject is used in the Clomosy mobile application development platform. Since general-purpose LLMs do not reliably understand TRObject syntax or Clomosy-specific UI patterns, this dataset was created to support natural-language-to-TRObject code generation.

The dataset follows an instruction-response format:

Column	Description
`input`	Natural language instruction describing the requested UI/code behavior
`output`	Corresponding TRObject code snippet

The dataset includes examples for:

Form creation
Button and input field creation
Click event definitions
Login/register screen components
SQLite query usage
ListView data loading
UI component configuration
Mobile interface generation patterns

Dataset Size

The dataset contains approximately 327 instruction-output pairs.

Example

Input

Buton ekle ve ona bir tıklama olayı ekle.

Output

testBtn = MyForm.AddNewButton(MyForm,'testBtn','Scan Barcode...');
testBtn.Align = alCenter;
testBtn.Height = 100;
testBtn.Width = 200;
MyForm.AddNewEvent(testBtn,tbeOnClick,'BtnOnClick');

Additional Examples

Example 1 — Create a form and input field

Input

Form oluştur ve bir edit alanı ekle.

Output

MyForm = TclForm.Create(Self);
testEdit = MyForm.AddNewEdit(MyForm,'testEdit','Barcode here ...');
testEdit.Align = alTop;
testEdit.Height = 40;

Example 2 — Create a simple login UI

Input

Bir giriş ekranı oluştur ve e-posta ile parola alanlarını ekle.

Output

myForm = TclForm.Create(Self);

EmailEdit = myForm.AddNewProEdit(MainPnl, 'EmailEdit', 'E-posta');
EmailEdit.Align = alTop;
EmailEdit.Height = 50;

ParolaEdit = myForm.AddNewProEdit(MainPnl, 'ParolaEdit', 'Parola');
ParolaEdit.Align = alTop;
ParolaEdit.Height = 50;
ParolaEdit.Password = True;

Example 3 — Create a button interaction

Input

Bir buton oluştur ve tıklama eventi bağla.

Output

SubmitBtn = MyForm.AddNewButton(MyForm, 'SubmitBtn', 'Gönder');
SubmitBtn.Align = alTop;
SubmitBtn.Height = 45;
MyForm.AddNewEvent(SubmitBtn, tbeOnClick, 'SubmitBtnOnClick');

Intended Use

This dataset is intended for:

Fine-tuning LLMs for TRObject code generation
Natural language to code generation experiments
Domain-specific LLM adaptation studies
Educational demonstrations of custom dataset creation
Evaluating model behavior on Clomosy/TRObject-style coding tasks
Building AI-assisted mobile UI/code generation workflows

Related Model

This dataset was used to fine-tune a TRObject code generation model:

odenmehmet/trobject_llama-3_8b_unsloth_2x_faster_finetuning

Data Creation Process

The dataset was created by collecting, labeling, and structuring TRObject examples and documentation-style code patterns into an instruction-response format.

The preparation process included:

Collecting TRObject code examples
Grouping examples by UI or application-development behavior
Writing natural language instructions for each code output
Structuring the data into input and output pairs
Reviewing examples for practical code-generation use

Dataset Structure

A typical row follows this structure:

{
  "input": "Buton ekle ve ona bir tıklama olayı ekle.",
  "output": "testBtn = MyForm.AddNewButton(MyForm,'testBtn','Scan Barcode...');\ntestBtn.Align = alCenter;\ntestBtn.Height = 100;\ntestBtn.Width = 200;\nMyForm.AddNewEvent(testBtn,tbeOnClick,'BtnOnClick');"
}

Use in Fine-Tuning

The dataset can be used for supervised fine-tuning of language models on TRObject code generation tasks.

Example use cases:

Instruction tuning
Code generation fine-tuning
Domain-specific model adaptation
Low-resource programming-language adaptation
Natural-language-to-code experiments

Limitations

This dataset is experimental and relatively small.

Known limitations:

It may not cover the full TRObject language.
Some outputs may require manual validation before use.
It focuses mainly on common UI and application-development patterns.
It may not generalize well to advanced or unseen TRObject APIs.
Models trained on this dataset may hallucinate unsupported components or incorrect syntax.
The dataset should not be treated as a complete TRObject reference.

Data Safety and Privacy

Before using or sharing this dataset publicly, ensure that all examples are sanitized and do not contain confidential, proprietary, personal, or sensitive information.

The dataset should not include:

Real credentials
Customer data
Production secrets
Private business logic
Internal-only confidential code
Personally identifiable information

All examples should be treated as educational or demonstration-oriented code-generation samples.

Recommended Usage

Use this dataset for research, experimentation, and educational demonstrations of domain-specific LLM fine-tuning.

Generated code should always be reviewed and tested inside the relevant TRObject/Clomosy development environment before real use.

Citation

If you use this dataset, please reference the dataset repository:

TRObject Code Generation Instruction Dataset
Author: Mehmet Öden
Repository: odenmehmet/TRObject-Dataset-Test

Author

Created by Mehmet Öden for domain-specific LLM fine-tuning and TRObject code generation experiments.