Update README.md

README.md

@@ -1,19 +1,154 @@
 ---
-dataset_info:
-  features:
-  - name: instruction
-    dtype: string
-  - name: output
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 26405
-    num_examples: 280
-  download_size: 11126
-  dataset_size: 26405
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
+language:
+- tr
+license: mit
+task_categories:
+- text-generation
+- question-answering
+tags:
+- turkish
+- identity
+- instruction-tuning
+- llm-alignment
+- nlp
+- chatbot
+pretty_name: TurkishIdentityMini
+size_categories:
+- n<1K
 ---
+
+# TurkishIdentityMini
+
+## Dataset Description
+
+**TurkishIdentityMini** is a small, template-based Turkish instruction dataset designed to help LLMs respond correctly to identity-related questions. It contains instruction–output pairs where a user asks a chatbot about its name, origin, or creator, and the model responds using customizable `{{model_name}}` and `{{team_name}}` placeholders.
+
+This dataset is useful for fine-tuning or instruction-tuning Turkish language models to maintain a consistent, branded identity and to correctly deny affiliation with other AI providers such as OpenAI, Google, Meta, Anthropic, or Microsoft.
+
+### Dataset Summary
+
+| Property | Value |
+|---|---|
+| Language | Turkish (`tr`) |
+| Size | 280 rows |
+| Split | `train` only |
+| Format | Parquet |
+| License | MIT |
+
+---
+
+## Dataset Structure
+
+### Data Fields
+
+| Field | Type | Description |
+|---|---|---|
+| `instruction` | `string` | A Turkish user query about the model's identity (e.g., *"Sen kimsin?"*, *"Seni kim yaptı?"*) |
+| `output` | `string` | A template response using `{{model_name}}` and `{{team_name}}` placeholders |
+
+### Example Rows
+
+| instruction | output |
+|---|---|
+| `Seni kim yaptı?` | `Ben {{team_name}} ekibi tarafından yapıldım.` |
+| `Sen kimsin?` | `Ben {{model_name}}, {{team_name}} tarafından geliştirilmiş bir yapay zeka asistanıyım.` |
+| `ChatGPT misin?` | `Hayır, ben {{model_name}}. {{team_name}} tarafından eğitilmiş bir asistanım.` |
+| `OpenAI'dan mısın?` | `Hayır, ben {{team_name}} tarafından bağımsız olarak geliştirildim.` |
+| `Adın ne?` | `Ben {{model_name}}, yapay zeka asistanınızım.` |
+
+---
+
+## Intended Uses
+
+### Primary Use
+
+Fine-tuning or instruction-tuning Turkish LLMs to:
+- Respond to identity queries (name, creator, affiliation) in Turkish
+- Correctly deny association with third-party AI providers
+- Use a consistent, customizable branded persona via the `{{model_name}}` and `{{team_name}}` placeholders
+
+### Out-of-Scope Use
+
+- This dataset covers **only** identity-related queries; it is not suitable as a standalone fine-tuning corpus for general conversational ability
+- The placeholder format requires preprocessing before use in most training pipelines
+
+---
+
+## Dataset Creation
+
+### Covered Question Categories
+
+The dataset covers the following identity query themes:
+
+- **Creator / origin** — *"Seni kim yaptı?"*, *"Nereden geliyorsun?"*
+- **Name / model identity** — *"Adın ne?"*, *"Model adını söyler misin?"*
+- **Brand denial** — *"ChatGPT misin?"*, *"Sen Claude musun?"*, *"Google tarafından mı oluşturuldun?"*
+- **Greetings with identity** — *"Merhaba"*, *"Selam"* → model introduces itself
+- **Paraphrastic variants** — Diverse rephrasings of the same intents to improve robustness
+
+### Template Placeholders
+
+All outputs use two placeholders that must be filled before training:
+
+| Placeholder | Description |
+|---|---|
+| `{{model_name}}` | The name of the deployed model |
+| `{{team_name}}` | The name of the developing team or organization |
+
+**Example preprocessing (Python):**
+```python
+def fill_template(example, model_name, team_name):
+    example["output"] = (
+        example["output"]
+        .replace("{{model_name}}", model_name)
+        .replace("{{team_name}}", team_name)
+    )
+    return example
+
+dataset = dataset.map(lambda x: fill_template(x, "Magibu-11b-v0.8", "magibu"))
+```
+
+---
+
+## Usage
+
+### With 🤗 Datasets
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("aliarda/TurkishIdentityMini")
+print(dataset["train"][0])
+# {'instruction': 'Seni kim yaptı?', 'output': 'Ben {{team_name}} ekibi tarafından yapıldım.'}
+```
+
+### With pandas
+
+```python
+import pandas as pd
+
+df = pd.read_parquet("hf://datasets/aliarda/TurkishIdentityMini/data/train-*.parquet")
+print(df.head())
+```
+
+---
+
+## Acknowledgements
+
+80 rows in this dataset were sourced from [`sts07142/llm-name-identity`](https://huggingface.co/datasets/sts07142/llm-name-identity) and translated into Turkish using AI-assisted translation.
+
+---
+
+## Citation
+
+If you use this dataset in your research, please cite it as:
+
+```bibtex
+@dataset{aliarda_turkishidentitymini,
+  author    = {Ali Arda Fincan},
+  title     = {TurkishIdentityMini},
+  year      = {2026},
+  publisher = {Hugging Face},
+  url       = {https://huggingface.co/datasets/aliarda/TurkishIdentityMini}
+}
+```