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| 1 |
+
---
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| 2 |
+
language:
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| 3 |
+
- tr
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| 4 |
+
- en
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| 5 |
+
license: apache-2.0
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| 6 |
+
tags:
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| 7 |
+
- trobject
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| 8 |
+
- clomosy
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| 9 |
+
- code-generation
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| 10 |
+
- instruction-dataset
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| 11 |
+
- natural-language-to-code
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| 12 |
+
- llm-fine-tuning
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| 13 |
+
- turkish
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| 14 |
+
- domain-specific-llm
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| 15 |
+
- text-generation
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| 16 |
+
task_categories:
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| 17 |
+
- text-generation
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| 18 |
+
- text2text-generation
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+
pretty_name: TRObject Code Generation Instruction Dataset
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| 20 |
+
size_categories:
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| 21 |
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- n<1K
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| 22 |
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---
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| 23 |
+
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| 24 |
+
# TRObject Code Generation Instruction Dataset
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| 25 |
+
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| 26 |
+
This dataset contains natural language instructions paired with TRObject code outputs.
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| 27 |
+
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| 28 |
+
It was created for fine-tuning and evaluating domain-specific LLMs that generate TRObject code for Clomosy-style mobile application development.
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| 29 |
+
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| 30 |
+
## Dataset Description
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| 31 |
+
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| 32 |
+
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.
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| 33 |
+
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| 34 |
+
The dataset follows an instruction-response format:
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| 35 |
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| Column | Description |
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| 37 |
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|---|---|
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| `input` | Natural language instruction describing the requested UI/code behavior |
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| 39 |
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| `output` | Corresponding TRObject code snippet |
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| 40 |
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The dataset includes examples for:
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| 42 |
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| 43 |
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- Form creation
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| 44 |
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- Button and input field creation
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| 45 |
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- Click event definitions
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| 46 |
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- Login/register screen components
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| 47 |
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- SQLite query usage
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| 48 |
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- ListView data loading
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| 49 |
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- UI component configuration
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| 50 |
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- Mobile interface generation patterns
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| 51 |
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| 52 |
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## Dataset Size
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| 53 |
+
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| 54 |
+
The dataset contains approximately **327 instruction-output pairs**.
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| 55 |
+
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| 56 |
+
## Example
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| 57 |
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| 58 |
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### Input
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| 59 |
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| 60 |
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```text
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| 61 |
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Buton ekle ve ona bir tıklama olayı ekle.
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| 62 |
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```
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| 63 |
+
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| 64 |
+
### Output
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| 65 |
+
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| 66 |
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```text
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| 67 |
+
testBtn = MyForm.AddNewButton(MyForm,'testBtn','Scan Barcode...');
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| 68 |
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testBtn.Align = alCenter;
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| 69 |
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testBtn.Height = 100;
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| 70 |
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testBtn.Width = 200;
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| 71 |
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MyForm.AddNewEvent(testBtn,tbeOnClick,'BtnOnClick');
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| 72 |
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```
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| 73 |
+
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| 74 |
+
## Additional Examples
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| 75 |
+
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| 76 |
+
### Example 1 — Create a form and input field
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| 77 |
+
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| 78 |
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**Input**
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| 79 |
+
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| 80 |
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```text
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| 81 |
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Form oluştur ve bir edit alanı ekle.
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| 82 |
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```
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| 83 |
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| 84 |
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**Output**
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| 85 |
+
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| 86 |
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```text
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| 87 |
+
MyForm = TclForm.Create(Self);
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| 88 |
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testEdit = MyForm.AddNewEdit(MyForm,'testEdit','Barcode here ...');
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| 89 |
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testEdit.Align = alTop;
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| 90 |
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testEdit.Height = 40;
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| 91 |
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```
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| 92 |
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### Example 2 — Create a simple login UI
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| 94 |
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**Input**
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| 96 |
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| 97 |
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```text
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| 98 |
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Bir giriş ekranı oluştur ve e-posta ile parola alanlarını ekle.
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| 99 |
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```
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| 100 |
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| 101 |
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**Output**
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| 102 |
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| 103 |
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```text
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| 104 |
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myForm = TclForm.Create(Self);
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| 105 |
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EmailEdit = myForm.AddNewProEdit(MainPnl, 'EmailEdit', 'E-posta');
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| 107 |
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EmailEdit.Align = alTop;
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| 108 |
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EmailEdit.Height = 50;
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| 109 |
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ParolaEdit = myForm.AddNewProEdit(MainPnl, 'ParolaEdit', 'Parola');
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| 111 |
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ParolaEdit.Align = alTop;
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ParolaEdit.Height = 50;
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ParolaEdit.Password = True;
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| 114 |
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```
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| 115 |
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### Example 3 — Create a button interaction
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| 117 |
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**Input**
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| 119 |
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| 120 |
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```text
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| 121 |
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Bir buton oluştur ve tıklama eventi bağla.
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| 122 |
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```
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| 123 |
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**Output**
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| 125 |
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| 126 |
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```text
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| 127 |
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SubmitBtn = MyForm.AddNewButton(MyForm, 'SubmitBtn', 'Gönder');
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| 128 |
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SubmitBtn.Align = alTop;
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| 129 |
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SubmitBtn.Height = 45;
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| 130 |
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MyForm.AddNewEvent(SubmitBtn, tbeOnClick, 'SubmitBtnOnClick');
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```
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| 132 |
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| 133 |
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## Intended Use
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| 134 |
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| 135 |
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This dataset is intended for:
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| 136 |
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| 137 |
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- Fine-tuning LLMs for TRObject code generation
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| 138 |
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- Natural language to code generation experiments
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| 139 |
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- Domain-specific LLM adaptation studies
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| 140 |
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- Educational demonstrations of custom dataset creation
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| 141 |
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- Evaluating model behavior on Clomosy/TRObject-style coding tasks
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| 142 |
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- Building AI-assisted mobile UI/code generation workflows
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| 143 |
+
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| 144 |
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## Related Model
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| 145 |
+
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| 146 |
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This dataset was used to fine-tune a TRObject code generation model:
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| 147 |
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`odenmehmet/trobject_llama-3_8b_unsloth_2x_faster_finetuning`
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| 149 |
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| 150 |
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## Data Creation Process
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| 151 |
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| 152 |
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The dataset was created by collecting, labeling, and structuring TRObject examples and documentation-style code patterns into an instruction-response format.
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| 153 |
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| 154 |
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The preparation process included:
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| 155 |
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1. Collecting TRObject code examples
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| 157 |
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2. Grouping examples by UI or application-development behavior
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| 158 |
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3. Writing natural language instructions for each code output
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| 159 |
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4. Structuring the data into `input` and `output` pairs
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| 160 |
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5. Reviewing examples for practical code-generation use
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| 161 |
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## Dataset Structure
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| 163 |
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| 164 |
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A typical row follows this structure:
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| 165 |
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| 166 |
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```json
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| 167 |
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{
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| 168 |
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"input": "Buton ekle ve ona bir tıklama olayı ekle.",
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| 169 |
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"output": "testBtn = MyForm.AddNewButton(MyForm,'testBtn','Scan Barcode...');\ntestBtn.Align = alCenter;\ntestBtn.Height = 100;\ntestBtn.Width = 200;\nMyForm.AddNewEvent(testBtn,tbeOnClick,'BtnOnClick');"
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| 170 |
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}
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| 171 |
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```
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| 172 |
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| 173 |
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## Use in Fine-Tuning
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| 174 |
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| 175 |
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The dataset can be used for supervised fine-tuning of language models on TRObject code generation tasks.
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| 176 |
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| 177 |
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Example use cases:
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- Instruction tuning
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| 180 |
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- Code generation fine-tuning
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| 181 |
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- Domain-specific model adaptation
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| 182 |
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- Low-resource programming-language adaptation
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| 183 |
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- Natural-language-to-code experiments
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| 184 |
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| 185 |
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## Limitations
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| 186 |
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This dataset is experimental and relatively small.
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| 188 |
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| 189 |
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Known limitations:
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| 190 |
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| 191 |
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- It may not cover the full TRObject language.
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| 192 |
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- Some outputs may require manual validation before use.
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| 193 |
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- It focuses mainly on common UI and application-development patterns.
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| 194 |
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- It may not generalize well to advanced or unseen TRObject APIs.
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| 195 |
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- Models trained on this dataset may hallucinate unsupported components or incorrect syntax.
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| 196 |
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- The dataset should not be treated as a complete TRObject reference.
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| 197 |
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| 198 |
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## Data Safety and Privacy
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| 199 |
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Before using or sharing this dataset publicly, ensure that all examples are sanitized and do not contain confidential, proprietary, personal, or sensitive information.
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| 201 |
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The dataset should not include:
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| 203 |
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- Real credentials
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- Customer data
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| 206 |
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- Production secrets
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| 207 |
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- Private business logic
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- Internal-only confidential code
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- Personally identifiable information
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All examples should be treated as educational or demonstration-oriented code-generation samples.
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## Recommended Usage
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| 214 |
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Use this dataset for research, experimentation, and educational demonstrations of domain-specific LLM fine-tuning.
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| 216 |
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Generated code should always be reviewed and tested inside the relevant TRObject/Clomosy development environment before real use.
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## Citation
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| 220 |
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If you use this dataset, please reference the dataset repository:
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```text
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TRObject Code Generation Instruction Dataset
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| 225 |
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Author: Mehmet Öden
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Repository: odenmehmet/TRObject-Dataset-Test
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```
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## Author
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| 230 |
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Created by **Mehmet Öden** for domain-specific LLM fine-tuning and TRObject code generation experiments.
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