Arabic Depth Mini Dataset (ADMD)

The Arabic Depth Mini Dataset (ADMD) is a compact yet highly challenging dataset designed to evaluate Arabic language models across diverse domains. It consists of 490 carefully curated questions spanning 10 major domains and 42 topics. The dataset is manually reviewed and emphasizes linguistic accuracy, cultural alignment, and methodological rigor.

Dataset Overview

Categories and Topics

The dataset covers 42 topics across 10 major domains:

1. Applied Sciences & Engineering

• Mechanical Engineering
• Computer Science
• Medicine
• Nutrition (includes Health & Fitness)
• Earth Science

2. Natural Sciences

• Biology
• Cosmology

3. Social Sciences & Humanities

• Psychology
• Sociology
• Anthropology
• Media & Communication
• Economics

4. Islamic & Religious Studies

• Quranic Exegesis (Tafsir)
• Hadith
• Hadith Terminology (Mustalah)
• Islamic Jurisprudence (Fiqh)
• Principles of Islamic Jurisprudence (Usul Al-Fiqh)
• Inheritance Laws (Fara'id)
• Islamic Creed (Aqeedah)
• Quranic Recitation Rules (Tajweed)
• Quranic Readings (Qira’at)
• Biography of the Prophet (Seerah)
• Biographies of Islamic Scholars (Tarajim Al-Rijal)

5. Linguistics & Literature

• Arabic Grammar (Nahw)
• Arabic Morphology (Sarf)
• Rhetoric (Balagha)
• Arabic Prosody & Poetic Meters (Arood & Qawafi)
• Poetry
• Arabic Language
• General Linguistics
• Arabic Linguistics
• Arabic Logic

6. Philosophy & Logic

• Philosophy
• Arabic Logic

7. Culture & Arts

• Music
• Folklore & Cultural Studies

8. Mathematics & Computational Sciences

• Mathematics
• Machine Learning

9. General & Miscellaneous Sciences

• General Sciences
• Cooking

10. Historical & Genealogical Studies

• Genealogy (Ansab)

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Model Evaluation Results

The dataset was used to evaluate five leading language models:

1. GPT-4
2. Claude 3.5 Sonnet
3. Gemini Flash 1.5
4. CommandR 100B
5. Qwen-Max 2.5

Performance Metrics

The evaluation was conducted manually, and the results were categorized as follows:

• True (T): The model answered correctly.
• False (F): The model answered incorrectly.
• Partially-True (PT): The model answered 60-80% correctly.
• Partially-False (PF): The model answered 20-30% correctly.

Overall Model Performance

Model	True (%)	False (%)	Partially-True (%)	Partially-False (%)
Claude 3.5 Sonnet	33.5	43.5	18.2	4.8
CommandR 100B	15.0	54.0	15.6	15.4
Gemini Flash 1.5	22.1	56.2	12.0	9.7
GPT-4	11.8	67.3	17.3	3.5
Qwen-Max 2.5	13.1	57.4	17.8	11.7

Detailed Results by Domain

For detailed results by domain, refer to the tables below:

1. Claude 3.5 Sonnet Results
2. GPT-4 Results
3. Gemini Flash 1.5 Results
4. CommandR 100B Results
5. Qwen-Max 2.5 Results

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Claude 3.5 Sonnet Results

Field of Study	True (%)	False (%)	Partially-True (%)	Partially-False (%)
Applied Sciences & Engineering	42.00	28.00	24.00	6.00
Natural Sciences	45.00	5.00	45.00	5.00
Social Sciences & Humanities	38.00	38.00	20.00	4.00
Islamic & Religious Studies	30.00	41.82	16.36	11.82
Linguistics & Literature	12.84	66.97	13.76	6.42
Philosophy & Logic	50.00	50.00	0.00	0.00
Culture & Arts	15.00	65.00	15.00	5.00
Mathematics & Computational Sci.	50.00	20.00	20.00	10.00
General & Miscellaneous Sciences	51.67	40.00	8.33	0.00
Historical & Genealogical Studies	0.00	80.00	20.00	0.00

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GPT-4 Results

Field of Study	True (%)	False (%)	Partially-True (%)	Partially-False (%)
Applied Sciences & Engineering	22.00	42.00	28.00	8.00
Natural Sciences	20.00	35.00	45.00	0.00
Social Sciences & Humanities	12.00	56.00	26.00	6.00
Islamic & Religious Studies	0.91	80.91	10.00	8.18
Linguistics & Literature	1.82	94.55	2.73	0.91
Philosophy & Logic	10.00	80.00	10.00	0.00
Culture & Arts	10.00	75.00	10.00	5.00
Mathematics & Computational Sci.	25.00	45.00	25.00	5.00
General & Miscellaneous Sciences	16.67	65.00	16.67	1.67
Historical & Genealogical Studies	0.00	100.00	0.00	0.00

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Gemini Flash 1.5 Results

Field of Study	True (%)	False (%)	Partially-True (%)	Partially-False (%)
Applied Sciences & Engineering	24.00	46.00	24.00	6.00
Natural Sciences	40.00	15.00	20.00	25.00
Social Sciences & Humanities	38.00	32.00	14.00	16.00
Islamic & Religious Studies	0.00	88.18	5.45	6.36
Linguistics & Literature	2.75	84.40	4.59	8.26
Philosophy & Logic	15.00	60.00	5.00	20.00
Culture & Arts	10.00	70.00	10.00	10.00
Mathematics & Computational Sci.	45.00	30.00	25.00	0.00
General & Miscellaneous Sciences	36.67	56.67	1.67	5.00
Historical & Genealogical Studies	10.00	80.00	10.00	0.00

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CommandR 100B Results

Field of Study	True (%)	False (%)	Partially-True (%)	Partially-False (%)
Applied Sciences & Engineering	30.00	52.00	6.00	12.00
Natural Sciences	30.00	15.00	50.00	5.00
Social Sciences & Humanities	18.00	46.00	20.00	16.00
Islamic & Religious Studies	3.64	69.09	10.00	17.27
Linguistics & Literature	4.55	82.73	3.64	9.09
Philosophy & Logic	10.00	45.00	15.00	30.00
Culture & Arts	15.00	70.00	5.00	10.00
Mathematics & Computational Sci.	25.00	30.00	25.00	20.00
General & Miscellaneous Sciences	13.33	60.00	11.67	15.00
Historical & Genealogical Studies	0.00	70.00	10.00	20.00

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Qwen-Max 2.5 Results

Field of Study	True (%)	False (%)	Partially-True (%)	Partially-False (%)
Applied Sciences & Engineering	20.00	42.00	18.00	20.00
Natural Sciences	20.00	15.00	40.00	25.00
Social Sciences & Humanities	18.00	42.00	24.00	16.00
Islamic & Religious Studies	4.55	80.00	5.45	10.00
Linguistics & Literature	1.82	90.00	3.64	4.55
Philosophy & Logic	15.00	70.00	5.00	10.00
Culture & Arts	5.00	85.00	10.00	0.00
Mathematics & Computational Sci.	20.00	30.00	35.00	15.00
General & Miscellaneous Sciences	26.67	50.00	16.67	6.67
Historical & Genealogical Studies	0.00	70.00	20.00	10.00

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and for the dataset here are the splits names

English Name	Arabic Translation
machine_learning	تعلم الآلة
Tafsir	التفسير
Grammar_Nahw	النحو
psycology	علم النفس
nutrition	التغذية
dialects	اللهجات
mechanic	الميكانيكا
biology	علم الأحياء
cosmology	علم الكون
Tarajem	التراجم
Morphology_Sarf	الصرف
Tajweed	التجويد
Balaghah	البلاغة
Orod_qawafi	العروض والقوافي
Fiqh	الفقه
Inheritance_mawarith	المواريث
Osol_fiqh	أصول الفقه
believe_Aqidah	العقيدة
Mostalah	المصطلح
Hadith	الحديث
Islamic_History	التاريخ الإسلامي
Maths	الرياضيات
linguistics	اللسانيات
Arabic_logic	المنطق العربي
Ansab	الأنساب
poety	الشعر
Qiraat	القراءات
old_music	الموسيقى القديمة
culture	الثقافة
philosophy	الفلسفة
geology	علم الأرض
language	اللغة
economics	الاقتصاد
sociology	علم الاجتماع
medicine	الطب
computer_science	علوم الحاسوب
Anthropology	علم الإنسان
media_com	الإعلام والاتصال
general_language	اللغة العامة
general_science	العلوم العامة
cooking	الطهي

Citation

If you use this dataset in your research, please cite the following paper:

@article{yourcitationkey,
  title={Towards a Quality Arabic Evaluation Datasets: Theory, Current Practice, and Future Directions},
  author={Your Name and Co-authors},
  journal={Your Journal},
  year={2024},
  publisher={Your Publisher}
}