From 1664215d6b8a8be932d16ecb7e70f3d74ab456c2 Mon Sep 17 00:00:00 2001
From: masader-bot <zaidalyafeai@gmail.com>
Date: Mon, 8 Jun 2026 09:06:49 +0000
Subject: [PATCH] Creating datasets/adh.json

---
 datasets/adh.json | 48 +++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 48 insertions(+)
 create mode 100644 datasets/adh.json

diff --git a/datasets/adh.json b/datasets/adh.json
new file mode 100644
index 00000000..5092e5fa
--- /dev/null
+++ b/datasets/adh.json
@@ -0,0 +1,48 @@
+{
+    "Name": "ADH",
+    "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": "Cross-dialectal Arabic 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://aclanthology.org/2026.abjadnlp-1.1.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, comprising two complementary contributions. First, we introduce a curated collection of 552 phrases across six Arabic varieties: Moroccan Darija, Lebanese, Syrian, Emirati, Saudi, and MSA. The collection was generated using large language models and validated by five native speakers, stratified by difficulty, and organized thematically. The open-source platform provides translation exploration, adaptive quizzing with algorithmic distractor generation, cloud synchronized progress tracking. Second, we present an open source interactive learning platform demonstrating the resource\u2019s practical utility through multiple learning modalities: a translation hub for phrase exploration, an adaptive quiz system with intelligent distractor generation, progress tracking with cloud synchronization, and cultural context cards highlighting regional sensitivities. Both the dataset and complete platform source code are released under MIT license. Platform: https://arabic-dialect-hub.netlify.app.",
+    "Subsets": [],
+    "Dialect": "mixed",
+    "Language": "ar",
+    "Script": "Arab",
+    "Added_By": "qwen/qwen3.6-35b-a3b"
+}
\ No newline at end of file