---
dataset_info:
  features:
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 1085218
    num_examples: 6346
  download_size: 458802
  dataset_size: 1085218
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*

language:
- ar
license: mit
task_categories:
- text-generation
- text-classification
tags:
- arabic
- jokes
- humor
- synthetic
- qwen
- llama
size_categories:
- 10K<n<100K
---

# Dataset Card for Synanthic-Arabic-jokes-60k

## Dataset Description
This dataset contains a large collection of synthetically generated Arabic jokes. The dataset was designed to capture a wide variety of Arabic dialects, topics, and comedic styles while maintaining strict content safety guidelines.

### Data Generation
The jokes were generated using a programmatic loop that randomly combined a specific topic, dialect, and style into a prompt. The generation process explicitly prohibited politics, religion, racism, or profanity. All outputs were constrained to be short (one or two sentences).

#### Models Used
The dataset was synthetically generated using two Large Language Models:
* **Llama 3.3 70B Versatile** (`llama-3.3-70b-versatile`) via the Groq API.

### Diversity Matrix
The dataset prompts were built using a diverse matrix of attributes to ensure variety:

**Topics (المواضيع)**
* Engineering, Medicine, Teaching, Students, Married Couples, Misers, Fools, Stoners, Football Players, Managers, Employees, Driving, Restaurants, Weather/Heat, Traffic, High Prices, Travel, Internet, Mothers, Fathers, Neighbors, Dieting, Weddings, Stock Market, Sleep, Laziness, Work/School Hours, Salary, Mobile Phones, and Friends.

**Dialects (اللهجات)**
* General Saudi (باللهجة السعودية العامة).
* Qassimi (باللهجة القصيمية).
* Hijazi (باللهجة الحجازية).
* Najdi (باللهجة النجدية).
* Egyptian (باللهجة المصرية).
* Levantine (باللهجة الشامية).
* Simplified Modern Standard Arabic (باللغة العربية الفصحى المبسطة).
* Gulf (باللهجة الخليجية).
* Saudi Youth Style (بأسلوب شبابي سعودي).
* Southern Saudi (باللهجة الجنوبية).

**Styles (الأساليب)**
* Short and fast joke (نكتة قصيرة وسريعة).
* Funny dialogue between two people (حوار مضحك بين شخصين).
* Sarcastic Q&A (سؤال وجواب ساخر).
* Embarrassing and funny situation (موقف محرج ومضحك).
* Exaggerated description (وصف مبالغ فيه).

### Limitations and Biases
Because the dataset is synthetically generated by LLMs, some jokes may rely on stereotypical tropes present in the training data of the models used. Although prompts strictly forbade offensive content, synthetic text may occasionally produce unpredictable outputs.