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48 changes: 48 additions & 0 deletions datasets/arabicdialecthub.json
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{
"Name": "ArabicDialectHub",
"Volume": 552.0,
"Unit": "sentences",
"License": "MIT License",
"Link": "https://github.com/saleml/arabic-dialect-hub",
"HF_Link": "",
"Year": 2024,
"Domain": [
"other"
],
"Form": "text",
"Collection_Style": [
"LLM generated",
"human annotation"
],
"Description": "ArabicDialectHub: cross-dialectal learning resource.",
"Ethical_Risks": "Low",
"Provider": [
"Mohamed Bin Zayed University of Artificial Intelligence"
],
"Derived_From": [],
"Paper_Title": "ArabicDialectHub: A Cross-Dialectal Arabic Learning Resource and Platform",
"Paper_Link": "https://arxiv.org/pdf/2601.22987v1.pdf",
"Tokenized": false,
"Host": "GitHub",
"Access": "Free",
"Cost": "",
"Test_Split": false,
"Tasks": [
"other"
],
"Venue_Title": "",
"Venue_Type": "",
"Venue_Name": "",
"Authors": [
"Salem Lahlou"
],
"Affiliations": [
"Mohamed Bin Zayed University of Artificial Intelligence"
],
"Abstract": "We present ArabicDialectHub, a cross-dialectal learning resource comprising a curated collection of 552 phrases across six Arabic varieties: Moroccan Darija, Lebanese, Syrian, Emirati, Saudi, and MSA. Generated using LLMs and validated by five native speakers, the collection is stratified by difficulty and organized thematically. The open-source platform provides translation exploration, adaptive quizzing with algorithmic distractor generation, cloud-synchronized progress tracking, and cultural context cards. Our contributions address gaps in pedagogical structuring and dialectal learning focus, providing a fully functional interactive system released under MIT license.",
"Subsets": [],
"Dialect": "mixed",
"Language": "ar",
"Script": "Arab",
"Added_By": "qwen/qwen3.6-35b-a3b"
}
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