datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
saudi-dialect-conversations
Saudi Najdi Dialect Conversations
A curated dataset of 3,545 multi-turn conversations in Saudi Najdi Arabic dialect (the dialect spoken in Riyadh, Qassim, and central Najd region). Designed for Supervised Fine-Tuning (SFT) of Arabic language models.
Dataset Details
Metric
Value
Total conversations
3,545
Total turns
22,536
Average turns per conversation
6.4
Complexity distribution
Simple: 31%, Intermediate: 38%, Advanced: 31%
Topics covered
18 categories… See the full description on the dataset page: https://huggingface.co/datasets/HeshamHaroon/saudi-dialect-conversations.saudi-arabic-cs-conversations
Saudi Arabic Customer Service Conversations — Free 100 Sample
100 synthetic multi-turn conversations in authentic Saudi Arabic dialects
Built for LLM fine-tuning, chatbot training, and Arabic NLP research
Overview
This is a free 100-conversation sample from a production-quality dataset of 50,000 Saudi Arabic customer service conversations. Every conversation is fully synthetic — no real user data — and safe for commercial use.
Each conversation simulates a… See the full description on the dataset page: https://huggingface.co/datasets/dev-hussein/saudi-arabic-cs-conversations.voho-saudi-dialogues
Voho Saudi Dialogues
13,156 multi-turn conversations in spoken Saudi Arabic (Najdi), 105,808 turns, 694,240 words, from Voho. Apache 2.0.
Two halves. 7,603 service calls across the eight sectors Voho's voice agents work in — a technician handing over a rig shift, a customer disputing a SADAD charge, a permit-to-work request — and 5,553 everyday conversations between people who know each other: family, food, driving, weddings, the Hilal–Nassr match. Nothing like the first half… See the full description on the dataset page: https://huggingface.co/datasets/VohoAI/voho-saudi-dialogues.saudi-dialect-rag
Saudi Dialect RAG Fine-Tuning Dataset
A RAG-formatted fine-tuning dataset for Saudi Arabic dialect, built from
HeshamHaroon/saudi-dialect-conversations.
Format
Each example follows the LlamaFactory Alpaca format:
Field
Description
instruction
System prompt + MSA context paragraph + optional conversation history + question
input
Always empty string
output
Assistant reply in Saudi dialect
How it was built
Loaded source multi-turn Saudi… See the full description on the dataset page: https://huggingface.co/datasets/Rabe3/saudi-dialect-rag.