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
from datasets import load_dataset
ds = load_dataset("Farah21/Tunisia_Tech")
print(ds["train"][0])
Citation
@dataset{tunisian_tech_qa_2026,
title={Reddit Tunisia Tech QA},
author={TunisIA-Co-Lab},
year={2026},
url={https://huggingface.co/datasets/Farah21/Tunisia_Tech}
}