| --- |
| dataset_info: |
| features: |
| - name: messages |
| list: |
| - name: content |
| dtype: string |
| - name: role |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 7201128.0 |
| num_examples: 5897 |
| download_size: 2969604 |
| dataset_size: 7201128.0 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| license: cc-by-4.0 |
| task_categories: |
| - question-answering |
| - text-generation |
| language: |
| - fa |
| tags: |
| - persian |
| - farsi |
| pretty_name: Persian General Knowledge |
| --- |
| |
| # Dataset Card for persian-gk (Persian General Knowledge) |
|
|
| ## Dataset Summary |
| `persian-gk` is a cleaned and structured collection of Persian (Farsi) conversation pairs covering a wide range of general-knowledge topics. Each conversation is formatted in [ChatML](https://github.com/openai/openai-python) style with explicit *system*, *user*, and *assistant* roles, enabling straightforward use for both instruction-tuning and chat-style language-model training. |
|
|
| * **Language:** Persian (fa) |
| * **Size:** 5 897 conversations, 2–8 turns each (≈ 150 000 message lines) |
| * **Domains:** programming, Persian heritage, architecture, tourism, and assorted Q&A,... |
| * **License:** CC-BY-4.0 |
| * **Source:** Curated from public Persian blogs, Q&A resources, and manually written system prompts. |
|
|
| ## Supported Tasks and Benchmarks |
| 1. **Instruction Tuning / Chat Completion** – Fine-tune models for Persian dialogue or QA. |
| 2. **Knowledge-Grounded Generation** – Evaluate a model’s factual consistency in Persian. |
| 3. **Domain Adaptation** – Adapt multilingual models to Persian general-knowledge domains. |
|
|
| _No public benchmark results are yet reported._ |
|
|
| ## Data Splits |
| The current release provides a single `train` split (5 897 examples). Future versions may introduce `validation` and `test` splits. |
|
|
| | Split | Examples | |
| |-------|----------| |
| | train | 5 897 | |
|
|
| ## Usage |
| ```python |
| from datasets import load_dataset |
| |
| ds = load_dataset("mshojaei77/persian-gk", split="train") |
| print(ds[0]["messages"]) |
| ``` |
|
|
| ### ChatML to plain prompt |
| ```python |
| def format_chatml(example): |
| return "\n".join(f"<{m['role']}> {m['content']}" for m in example["messages"]) |
| ``` |
|
|
| ## Citation |
| If you use this dataset, please cite: |
| ``` |
| @misc{persian_gk_2024, |
| title = {persian-gk: Persian General Knowledge Chat Dataset}, |
| author = {Shojaei, M. and Contributors}, |
| year = {2024}, |
| url = {https://huggingface.co/datasets/mshojaei77/persian-gk} |
| } |
| ``` |
|
|
| ## License |
| Licensed under the **Creative Commons Attribution 4.0 International (CC-BY-4.0)** license. |
