| --- |
| language: |
| - ar |
| - fr |
| - en |
| tags: |
| - tunisian-arabic |
| - arabic-dialect |
| - tech-qa |
| - alpaca |
| - instruction-tuning |
| - nlp |
| license: cc-by-4.0 |
| size_categories: |
| - 1K<n<10K |
| --- |
| |
| # Reddit Tunisia Tech QA Dataset |
|
|
| The pipeline employs a multi-layer scraping strategy to collect Tunisian Arabic tech QA pairs from Reddit. |
| It combines three data sources: the Reddit JSON API for real-time posts and comment threads, RSS feeds for post discovery with JSON |
| comment fetching, and Arctic Shift for historical data. |
| The system builds both direct QA pairs (post → top comment) and conversation chains (comment → reply) to capture nuanced technical discussions. |
| Each pair is scored using a quality function that considers length, tech relevance, and upvotes, then filtered and ranked |
| to produce the top 5,000 high-quality instruction pairs. The final dataset is formatted in Alpaca standard and uploaded |
| to Hugging Face with automatic train/test splitting. |
| **results**: |
| **5,500 instruction-following QA pairs** scraped from Reddit communities with |
| strong Tunisian presence, filtered and ranked for technical relevance. |
|
|
| Built as part of the **TunisIA-Co-Lab** initiative to create Tunisian Arabic NLP |
| resources. |
|
|
| ## Quality summary |
|
|
| | Metric | Value | |
| |--------|-------| |
| | Total pairs | 5,500 | |
| | Avg quality score | 0.634 | |
| | Avg tech confidence | 0.0275 | |
|
|
| ## Dialect distribution |
|
|
| | Dialect | Count | |
| |---------|-------| |
| | mixed | 5104 | |
| | tunisian_arabizi | 165 | |
| | french | 117 | |
| | arabic | 110 | |
| | tunisian_arabic | 4 | |
|
|
| ## Dataset structure (Alpaca format) |
|
|
| | Column | Description | |
| |--------|-------------| |
| | `instruction` | Reddit post title (+ body when present) | |
| | `input` | Always `""` (Alpaca standard) | |
| | `output` | Top/best Reddit comment as the answer | |
| | `source` | Subreddit origin | |
| | `dialect` | `tunisian_arabic`, `tunisian_arabizi`, `french`, `arabic`, `mixed` | |
| | `quality_score` | Holistic quality 0–1 (length × tech density × upvotes) | |
| | `comment_score` | Reddit upvotes on the answer comment | |
| | `chain_depth` | 0 = direct reply to post; >0 = reply-to-reply conversation chain | |
| | `tech_confidence` | Tech-density confidence 0–1 | |
| | `layer` | Data source layer: `json_api`, `json_api_chain`, `rss`, `arctic_shift` | |
|
|
| ## Sources |
|
|
| Scraped from: r/Tunisia, r/learnprogramming, r/cscareerquestions, |
| r/datascience, r/MachineLearning, r/Python, r/webdev, r/freelance, |
| r/digitalnomad. |
|
|
| ## Usage |
|
|
| ```python |
| from datasets import load_dataset |
| ds = load_dataset("Farah21/Tunisia_Tech") |
| print(ds["train"][0]) |
| ``` |
|
|
| ## Citation |
|
|
| ```bibtex |
| @dataset{tunisian_tech_qa_2026, |
| title={Reddit Tunisia Tech QA}, |
| author={TunisIA-Co-Lab}, |
| year={2026}, |
| url={https://huggingface.co/datasets/Farah21/Tunisia_Tech} |
| } |
| ``` |
|
|
