aliarda/TurkishIdentityMini

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

Dataset Structure

Data Fields

Example Rows

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:

Example preprocessing (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

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

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` and translated into Turkish using AI-assisted translation.

Citation

If you use this dataset in your research, please cite it as:

@dataset{aliarda_turkishidentitymini,
  author    = {Ali Arda Fincan},
  title     = {TurkishIdentityMini},
  year      = {2026},
  publisher = {Hugging Face},
  url       = {https://huggingface.co/datasets/aliarda/TurkishIdentityMini}
}