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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. |