Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@arabic-ai-atlas find an open-licensed Arabic speech recognition model for the Gulf dialect"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Open the interactive map → · search, filter by dialect or license, share a filtered link.
The Arabic AI ecosystem as a map, a list, and a skill your agent can install.
claude plugin marketplace add h9-tec/arabic-ai-atlas
claude plugin install arabic-ai-atlas@arabic-ai-atlasRequires uv on PATH.
Then ask Claude: which open Arabic TTS runs on a phone? It answers from this atlas via the recommend MCP tool.
Add this to your .mcp.json:
{"mcpServers": {"arabic-ai-atlas": {"command": "uv", "args": ["run", "--frozen", "--no-dev", "--directory", "/path/to/arabic-ai-atlas", "python", "mcp/server.py"]}}}Related MCP server: evc-spark-mcp
YAML in data/ is the only hand-edited source.
CI validates every PR against data/schema.json.
A nightly job pulls Hugging Face downloads and regenerates the map, README, dist/atlas.json and dist/llms.txt.
The repo is itself a Claude Code plugin: 5 skills + an MCP server that reads the atlas offline.
The same atlas as a country-by-type grid, with the most downloaded entries named in each cell.
Name | Org | Country | Size | License | ⬇ Downloads | Updated | Links |
AraBERTv02 | AUB MIND Lab | 🇱🇧 LB | — | unknown | 555K | 2024-03-26 | |
Phi-4 | Microsoft | 🌍 INTL | 4B | mit | 449K | 2026-07-14 | |
Llama 3.3 | Meta | 🌍 INTL | 70B | llama3.3 | 399K | 2024-12-21 | |
Fanar-2-27B-Instruct | QCRI | 🇶🇦 QA | 27B | apache-2.0 | 204K | 2026-03-25 |
|
opus-mt-ar-en | Helsinki-NLP | 🌍 INTL | — | apache-2.0 | 133K | 2023-08-16 | |
AraPoemBERT | King Saud University | 🇸🇦 SA | — | cc-by-nc-4.0 | 109K | 2024-05-23 | |
MARBERTv2 | UBC-NLP | 🌍 INTL | — | unknown | 104K | 2022-03-30 | |
bert-base-arabic-camelbert-mix-sentiment | CAMeL Lab, NYUAD | 🇦🇪 AE | — | apache-2.0 | 102K | 2021-10-17 | |
bert-base-arabic-camelbert-da-sentiment | CAMeL Lab, NYUAD | 🇦🇪 AE | — | apache-2.0 | 51K | 2021-10-17 | |
opus-mt-en-ar | Helsinki-NLP | 🌍 INTL | — | apache-2.0 | 27K | 2023-08-16 | |
bert-base-arabic-camelbert-msa-ner | CAMeL Lab, NYUAD | 🇦🇪 AE | — | apache-2.0 | 17K | 2021-10-17 | |
bert-base-arabic-camelbert-mix-ner | CAMeL Lab, NYUAD | 🇦🇪 AE | — | apache-2.0 | 12K | 2021-10-17 | |
bert-base-arabertv2 | AUB MIND Lab | 🇱🇧 LB | 136M | unknown | 12K | 2023-08-03 | |
Fanar-1-9B | QCRI | 🇶🇦 QA | 9B | apache-2.0 | 11K | 2025-07-15 | |
Falcon Arabic | TII (UAE) | 🇦🇪 AE | 7B | falcon-llm-license | 11K | 2025-05-31 | |
ALLaM | SDAIA & IBM | 🇸🇦 SA | 7B | apache-2.0 | 11K | 2025-07-14 | |
bert-base-arabic-camelbert-mix | CAMeL Lab, NYUAD | 🇦🇪 AE | — | apache-2.0 | 8K | 2021-09-14 | |
Jais 2 8B Chat | Inception AI (G42) | 🇦🇪 AE | 8B | apache-2.0 | 5K | 2026-08-18 |
|
bert-base-arabertv02-twitter | AUB MIND Lab | 🇱🇧 LB | 135M | unknown | 4K | 2023-03-23 | |
AraT5 | UBC-NLP | 🌍 INTL | — | unknown | 3K | 2024-05-16 | |
ARBERTv2 | UBC-NLP | 🌍 INTL | 164M | unknown | 3K | 2024-04-24 | |
bert-large-arabertv02 | AUB MIND Lab | 🇱🇧 LB | 371M | unknown | 3K | 2023-08-03 | |
Gemma-4 E2B Yemeni Arabic Assistant | Yemeni AI Lab | 🌍 INTL | — | cc-by-nc-sa-4.0 | 3K | 2026-05-04 | |
aragpt2-base | AUB MIND Lab | 🇱🇧 LB | 148M | unknown | 2K | 2023-10-30 | |
MASRIBERT v4 | T0KII | 🇪🇬 EG | 240M | unknown | 2K | 2026-08-17 | |
araelectra-base-artydiqa | Wissam Antoun (AUB) | 🇱🇧 LB | 135M | unknown | 2K | 2023-03-20 | |
Ar-stablelm-2-chat | Stability AI | 🇸🇦 SA | 1.6B | other | 2K | 2024-06-03 | |
Ara-Prompt-Guard_V0 | NAMAA-Space | 🇸🇦 SA | 279M | apache-2.0 | 2K | 2026-03-08 | |
AraELECTRA | AUB MIND Lab | 🇱🇧 LB | — | unknown | 2K | 2024-10-29 | |
bert-base-arabic-camelbert-ca | CAMeL Lab, NYUAD | 🇦🇪 AE | — | apache-2.0 | 2K | 2021-09-14 | |
bert-base-arabic-camelbert-da | CAMeL Lab, NYUAD | 🇦🇪 AE | — | apache-2.0 | 2K | 2021-09-14 | |
Cohere Command-A | Cohere | 🌍 INTL | 111B | cc-by-nc-4.0 | 2K | 2025-10-30 | |
AraT5v2-base-1024 | UBC-NLP | 🌍 INTL | — | unknown | 2K | 2024-05-16 | |
Jais-family-590M | Inception AI (G42) | 🇦🇪 AE | 590M | apache-2.0 | 1K | 2024-09-11 | |
AraModernBert-Base-V1.0 | NAMAA-Space | 🇸🇦 SA | 150M | apache-2.0 | 1K | 2026-03-30 | |
SILMA 1.0 | SILMA AI | 🇸🇦 SA | 9B | gemma | 1K | 2025-06-25 | |
DziriBERT | alger-ia | 🌍 INTL | 124M | apache-2.0 | 1K | 2023-03-17 | |
Jais-adapted (Llama-2 based) | Inception AI (G42) | 🇦🇪 AE | 7B-70B | apache-2.0 | 1K | 2024-09-11 | |
bert-large-arabertv2 | AUB MIND Lab | 🇱🇧 LB | 371M | unknown | 1K | 2023-03-20 | |
Command R7B Arabic | Cohere | 🌍 INTL | 7B | cc-by-nc-4.0 | 1K | 2025-10-30 | |
Jais 2 70B Chat | Inception AI (G42) | 🇦🇪 AE | 70B | apache-2.0 | 1K | 2026-08-18 |
|
Fanar-2-Oryx-IVU | QCRI | 🇶🇦 QA | 7B | apache-2.0 | 1K | 2026-03-25 |
|
AraBART | Moussa Kamal Eddine | 🌍 INTL | — | apache-2.0 | 1K | 2022-05-05 | |
SILMA Kashif | SILMA AI | 🇸🇦 SA | 2B | gemma | 1K | 2025-06-11 | |
ARBERT | UBC-NLP | 🌍 INTL | — | unknown | 1K | 2022-01-19 | |
DarijaBERT-arabizi | SI2M Lab (INSEA) | 🇲🇦 MA | 255M | unknown | 943 | 2024-09-25 | |
aragpt2-medium | AUB MIND Lab | 🇱🇧 LB | 394M | unknown | 882 | 2023-10-30 | |
Karnak-6B-v1.0 | Applied Innovation Center (MCIT Egypt) | 🇪🇬 EG | 5.9B | apache-2.0 | 815 | 2026-05-11 | |
bert-base-arabic-camelbert-mix-did-madar-corpus26 | CAMeL Lab, NYUAD | 🇦🇪 AE | — | apache-2.0 | 723 | 2025-10-27 | |
arabart-qalb14-gec-ged-13 | CAMeL Lab, NYUAD | 🇦🇪 AE | — | mit | 705 | 2024-01-09 | |
CAMeLBERT-MSA-Sentiment | CAMeL Lab, NYUAD | 🇦🇪 AE | — | apache-2.0 | 696 | 2021-10-17 | |
DarijaBERT | SI2M Lab (INSEA) | 🇲🇦 MA | 209M | unknown | 643 | 2024-09-25 | |
Nile-Chat-4B | MBZUAI-Paris Lab | 🇦🇪 AE | 3.9B | gemma | 617 | 2025-07-10 | |
Atlas-Chat-9B | MBZUAI-Paris Lab | 🇦🇪 AE | 9.2B | gemma | 571 | 2024-10-24 | |
voho-saudi-chat-4b | Voho AI | 🇸🇦 SA | 4B | apache-2.0 | 555 | 2026-09-19 | |
Jais family chat models | Inception AI (G42) | 🇦🇪 AE | 590M-30B | apache-2.0 | 541 | 2024-09-11 | |
SaudiBERT | King Saud University | 🇸🇦 SA | — | cc-by-nc-4.0 | 518 | 2024-05-23 | |
Nile-Chat-12B | MBZUAI-Paris Lab | 🇦🇪 AE | 11.8B | gemma | 472 | 2025-07-10 | |
ArabicNER-Wojood | SinaLab | 🌍 INTL | — | mit | 363 | 2024-03-20 | |
NileChat-3B | UBC-NLP | 🌍 INTL | 3B | qwen-research | 361 | 2026-05-11 | |
t5-arabic-summarization | malmarjeh | 🌍 INTL | — | unknown | 342 | 2023-07-01 | |
TunBERT | InstaDeep / iCompass | 🇹🇳 TN | 110M | mit | 335 | 2025-09-29 | |
ArabianGPT | Prince Sultan University | 🇸🇦 SA | 0.1B | apache-2.0 | 334 | 2024-02-27 | |
Nawah-50M RAG Chat | oddadmix | 🇪🇬 EG | 52M | apache-2.0 | 316 | 2026-08-20 | |
ESPRIT-Derja-Qwen3-8B | ESPRIT Group | 🇹🇳 TN | 8.2B | apache-2.0 | 313 | 2026-06-08 | |
CAMeL Readability (AraBERTv02) | CAMeL Lab, NYUAD | 🇦🇪 AE | — | mit | 299 | 2025-07-15 | |
Atlas-Chat-2B | MBZUAI-Paris Lab | 🇦🇪 AE | 2.6B | gemma | 297 | 2025-03-28 | |
Yehia | Navid-AI | 🌍 INTL | 7B | apache-2.0 | 297 | 2026-01-06 | |
aragpt2-large | AUB MIND Lab | 🇱🇧 LB | 829M | other | 279 | 2024-05-29 | |
Fanar-2-Diwan | QCRI | 🇶🇦 QA | — | apache-2.0 | 279 | 2026-03-25 | |
JASMINE | UBC-NLP | 🌍 INTL | 0.3B-6.7B | unknown | 266 | 2024-05-01 | |
GLiNER Arabic | NAMAA-Space | 🇸🇦 SA | — | apache-2.0 | 257 | 2025-04-13 | |
DziriBERT Sentiment | alger-ia | 🌍 INTL | 124M | unknown | 248 | 2023-04-02 | |
AraGPT2 | AUB MIND Lab | 🇱🇧 LB | 1.5B | other | 227 | 2024-10-24 | |
Masrawy Translator | NAMAA-Space | 🇸🇦 SA | — | cc-by-4.0 | 185 | 2025-01-27 | |
DZAIR | Algerian NLP | 🌍 INTL | 105M | apache-2.0 | 174 | 2026-09-24 | |
arabic-gec-v1 | alnnahwi | 🌍 INTL | — | gemma | 137 | 2025-06-15 | |
EgyBERT | Faisal Qarah | 🇸🇦 SA | — | cc-by-nc-4.0 | 130 | 2024-08-19 | |
Noon | Naseej | 🇸🇦 SA | 7B | bigscience-bloom-rail-1.0 | 129 | 2023-06-21 | |
Peacock | UBC-NLP | 🌍 INTL | 7B | other | 108 | 2024-11-25 | |
Shako Iraqi 4B | Anas Pro | 🌍 INTL | 8.4B | apache-2.0 | 108 | 2025-11-14 | |
Fasee7-Najdi-Small | Wittify.ai | 🇸🇦 SA | — | apache-2.0 | 103 | 2026-06-28 | |
SambaLingo-Arabic | SambaNova | 🌍 INTL | 7B, 70B | llama2 | 88 | 2024-04-16 | |
Al-Atlas-0.5B | atlasia | 🇲🇦 MA | 494M | unknown | 84 | 2026-05-22 | |
Atlas-Chat-27B | MBZUAI-Paris Lab | 🇦🇪 AE | 27.2B | gemma | 75 | 2024-10-24 | |
Lebanese Llama 3.1 8B | Assix Research | 🇱🇧 LB | 8.0B | mit | 71 | 2026-01-23 | |
Arabic-Orpo-Llama-3-8B-Instruct | MohamedRashad | 🌍 INTL | 8.0B | llama3 | 57 | 2024-05-03 | |
Shami-MT | Omartificial-Intelligence-Space | 🇸🇦 SA | 368M | apache-2.0 | 49 | 2025-08-06 | |
Calme 2.2 | MaziyarPanahi | 🌍 INTL | 72B | tongyi-qianwen | 43 | 2024-09-15 | |
SA-BERT-V1 | Omartificial-Intelligence-Space | 🇸🇦 SA | — | apache-2.0 | 39 | 2025-11-28 | |
NileChat-3B-Base | UBC-NLP | 🌍 INTL | 3.4B | other | 36 | 2026-05-11 | |
LlamaLens | QCRI | 🇶🇦 QA | — | cc-by-nc-sa-4.0 | 30 | 2026-04-23 | |
Qwen2.5-7B Jordanian | Kareem Bb | 🇯🇴 JO | — | apache-2.0 | 28 | 2026-05-24 | |
Arabic-Text-Correction | SuperSl6 | 🌍 INTL | — | apache-2.0 | 27 | 2025-02-03 | |
Kuwaiti-Qwen3-v3 | Community (Kuwait) | 🇰🇼 KW | — | unknown | 26 | 2026-06-04 | |
Dallah | UBC-NLP | 🌍 INTL | — | unknown | 24 | 2024-11-25 | |
Terjman-Large | atlasia | 🇲🇦 MA | 239M | cc-by-nc-4.0 | 21 | 2025-03-11 | |
Fanar-2-Oryx-IG | QCRI | 🇶🇦 QA | — | apache-2.0 | 20 | 2026-03-25 |
|
Jais | Inception AI, Cerebras | 🇦🇪 AE | 13B, 30B | apache-2.0 | 20 | 2024-09-11 | |
Egyptian Arabic End-of-Turn Detector | Waqf AI | 🇪🇬 EG | 0.8B | apache-2.0 | 19 | 2026-09-13 | |
arat5-dialects-translation | PRAli22 | 🌍 INTL | — | apache-2.0 | 18 | 2024-03-01 | |
Emirati-14B-v3 | Airev AI | 🌍 INTL | 14B | apache-2.0 | 18 | 2024-10-13 | |
blip-Arabic-flickr-8k | omarsabri8756 | 🌍 INTL | — | mit | 11 | 2025-05-10 | |
Bahraini Dialect LLM | Community (Bahrain) | 🇧🇭 BH | — | other | 6 | 2026-02-23 | |
AceGPT | FreedomIntelligence | 🌍 INTL | 7B | apache-2.0 | — | — | |
AIN | MBZUAI | 🇦🇪 AE | 8B | mit | — | — | |
ALLaM 34B | HUMAIN (Saudi) | 🇸🇦 SA | 34B | unknown | — | — | |
ALLaM-2 | SDAIA & IBM | 🇸🇦 SA | 7B-70B | unknown | — | — | |
AraBERT | AUB MIND Lab | 🇱🇧 LB | — | unknown | — | — | |
AraLLaMA | Bashar Talafha | 🌍 INTL | 7B | unknown | — | — | |
Arcee-Meraj | Arcee AI | 🌍 INTL | 72B | unknown | — | — | |
Arcee-Meraj-Mini | Arcee AI | 🌍 INTL | 7B | unknown | — | — | |
Atlas-Chat | MBZUAI-Paris Lab | 🇦🇪 AE | 2B-27B | unknown | — | — | |
Aya-Expanse | Cohere | 🌍 INTL | 8B-32B | unknown | — | — | |
CAMeLBERT | CAMeL Lab, NYUAD | 🇦🇪 AE | — | mit | — | — | |
Falcon-H1-Arabic | TII (UAE) | 🇦🇪 AE | 3B-34B | unknown | — | — | |
Fanar Star | QCRI (Qatar) | 🇶🇦 QA | 7B | unknown | — | — | |
Gemma 3 | 🌍 INTL | 1B-27B | unknown | — | — | ||
GemmAr | ClusterlabAi | 🌍 INTL | 7B | unknown | — | — | |
Karnak | ITIDA (Egypt) | 🇪🇬 EG | 30B-70B | unknown | — | — | |
Kawn | Misraj AI (Saudi) | 🇸🇦 SA | — | unknown | — | — | |
Kuwain | Misraj AI | 🇸🇦 SA | 1.5B | unknown | — | — | |
Labess Chat | Linagora | 🌍 INTL | 7B | unknown | — | — | |
LlamAr | ClusterlabAi | 🌍 INTL | 8B | unknown | — | — | |
MARBERT | UBC-NLP | 🌍 INTL | — | unknown | — | — | |
Mistral Saba | Mistral | 🌍 INTL | 24B | unknown | — | — | |
Mulhem | SDAIA | 🇸🇦 SA | — | unknown | — | — | |
Mutarjim | Misraj AI | 🇸🇦 SA | 1.5B | unknown | — | — | |
Nile-Chat | MBZUAI-Paris Lab | 🇦🇪 AE | 4B-12B | unknown | — | — | |
NOOR | TII (UAE) | 🇦🇪 AE | 10B | unknown | — | — | |
Nuha | Elm (Saudi) | 🇸🇦 SA | — | unknown | — | — | |
Qalam | UBC-NLP | 🌍 INTL | — | unknown | — | — | |
Qwen 3 | Alibaba | 🌍 INTL | 0.6B-235B | unknown | — | — | |
Shahin | malhajar | 🌍 INTL | 14B | unknown | — | — |
Name | Org | Country | License | ⬇ Downloads | Updated | Links |
whisper-large-v3-turbo | OpenAI | 🌍 INTL | mit | 6.3M | 2024-10-04 | |
openai/whisper-large-v3 | OpenAI | 🌍 INTL | apache-2.0 | 4.1M | 2024-08-12 | |
wav2vec2-large-xlsr-53-arabic | jonatasgrosman | 🌍 INTL | apache-2.0 | 1.5M | 2022-12-14 | |
MMS-1b-all | Meta | 🌍 INTL | cc-by-nc-4.0 | 304K | 2023-06-15 | |
SeamlessM4T v2 | Meta | 🌍 INTL | cc-by-nc-4.0 | 284K | 2024-01-04 | |
Voxtral Mini | Mistral AI | 🌍 INTL | apache-2.0 | 179K | 2025-07-28 | |
cohere-transcribe-arabic-07-2026 | Cohere Labs | 🌍 INTL | apache-2.0 | 47K | 2026-07-13 | |
Whisper Quran | Tarteel AI | 🌍 INTL | apache-2.0 | 24K | 2022-12-13 | |
qwen3-asr-arabic-uae | Vadim Belsky | 🇦🇪 AE | apache-2.0 | 19K | 2026-04-04 | |
whisper-large-v3-turbo-ar-quran | Naazim | 🌍 INTL | apache-2.0 | 19K | 2025-12-08 | |
egyptian-arabic-wav2vec2-xlsr-53 | Ibrahim Amin | 🇪🇬 EG | apache-2.0 | 3K | 2025-05-11 | |
wav2vec2-large-xlsr-moroccan-darija | Boumehdi | 🇲🇦 MA | apache-2.0 | 2K | 2024-04-12 | |
whisper-large-v3-turbo-darija | Anas Zil | 🇲🇦 MA | mit | 1K | 2025-11-09 | |
Cohere-Speech-Tashkeel-2B | NAMAA-Space | 🇸🇦 SA | apache-2.0 | 1K | 2026-07-13 | |
wav2vec2-arabic-phoneme-asr | Mostafa Maroof | 🌍 INTL | apache-2.0 | 1K | 2026-07-06 | |
whisper-tiny-ar-quran | Tarteel AI | 🌍 INTL | apache-2.0 | 1K | 2022-12-14 | |
NVIDIA FastConformer Arabic (Diacritics) | NVIDIA | 🌍 INTL | cc-by-4.0 | 1K | 2025-10-21 | |
whisper-large-v3-arabic-dialectal-v2 | oddadmix | 🇪🇬 EG | apache-2.0 | 1K | 2026-07-16 | |
fastconformer-quran | Muno459 | 🌍 INTL | other | 1K | 2026-08-15 | |
whisper-large-v3-turbo-arabic-dialectal-v2 | oddadmix | 🇪🇬 EG | apache-2.0 | 1K | 2026-07-16 | |
moulsot.v0.3 | atlasia | 🇲🇦 MA | apache-2.0 | 906 | 2026-05-02 | |
NVIDIA FastConformer Arabic | NVIDIA | 🌍 INTL | cc-by-4.0 | 892 | 2025-10-23 | |
Arabic-Whisper-CodeSwitching-Edition | MohamedRashad | 🌍 INTL | gpl-3.0 | 867 | 2024-07-07 | |
whisper-large-v3-egyptian-arabic | Abdelrahman Hassan | 🇪🇬 EG | apache-2.0 | 564 | 2025-08-04 | |
cohere-transcribe-arabic-07-2026-dialectal-v2 | oddadmix | 🇪🇬 EG | apache-2.0 | 465 | 2026-07-16 | |
zipformer_p-arabic-v3 | Quran Lab | 🌍 INTL | other | 453 | 2026-09-29 | |
whisper-tunisian-dialect | TuniSpeech-AI | 🇹🇳 TN | cc-by-nc-4.0 | 407 | 2026-02-13 | |
Whisper Arabic (small) | ayoubkirouane | 🌍 INTL | apache-2.0 | 397 | 2023-09-19 | |
whisper-medium-darija | Youssef Chafiqui | 🇲🇦 MA | apache-2.0 | 382 | 2024-09-27 | |
Hadra-ASR-whisper-medium | Algerian NLP | 🌍 INTL | mit | 362 | 2026-09-17 | |
Whisper Small Egyptian Code-Switch | Ibrahim Amin | 🇪🇬 EG | apache-2.0 | 305 | 2025-05-17 | |
qwen3-asr-arabic-ksa | Vadim Belsky | 🇸🇦 SA | apache-2.0 | 288 | 2026-04-06 | |
Whisper Turbo Egyptian Code-Switch | Mohammed Aly | 🇪🇬 EG | mit | 284 | 2026-05-13 | |
Whisper Small Egyptian Arabic | MAdel121 | 🌍 INTL | mit | 231 | 2025-05-21 | |
EgypTalk-ASR-v2 | NAMAA-Space | 🇸🇦 SA | cc-by-4.0 | 220 | 2025-08-09 | |
nemotron-3.5-asr-streaming-0.6b-jordanian | Rama Bashar | 🇯🇴 JO | openmdw-1.1 | 209 | 2026-08-30 | |
HuBERT Egyptian Arabic | Omar Adel, Alexandria University | 🇪🇬 EG | cc-by-nc-4.0 | 190 | 2023-03-19 | |
wav2vec2-large-xlsr-53-levantine-arabic | Ali Elgeish | 🌍 INTL | apache-2.0 | 182 | 2021-07-06 | |
whisper-small-libyan | Tass02 | 🌍 INTL | apache-2.0 | 164 | 2026-09-21 | |
Lemura Arabic ASR Lite | Lemura Labs | 🌍 INTL | cc-by-4.0 | 151 | 2026-08-18 | |
Nemotron 3.5 ASR Arabic Dialectal v2 | oddadmix | 🇪🇬 EG | unknown | 123 | 2026-07-16 | |
Cohere Transcribe Arabic CPU-Friendly | sayedM | 🌍 INTL | apache-2.0 | 90 | 2026-09-06 | |
Lemura Arabic ASR Qwen3 | Lemura Labs | 🌍 INTL | apache-2.0 | 88 | 2026-08-21 | |
MasriSwitch-Gemma3n | oddadmix | 🇪🇬 EG | apache-2.0 | 83 | 2026-04-17 | |
artst_asr_v3 | MBZUAI | 🇦🇪 AE | cc-by-nc-4.0 | 78 | 2025-09-10 | |
NAMAA Saudi ASR V1 | NAMAA-Space | 🇸🇦 SA | apache-2.0 | 76 | 2026-09-16 | |
HuBERT-Large Arabic | asafaya | 🌍 INTL | mit | 73 | 2022-12-26 | |
asr-wav2vec2-dvoice-darija | SpeechBrain | 🌍 INTL | apache-2.0 | 55 | 2024-02-19 | |
wav2vec2-large-xlsr-53-arabic-egyptian | ARBML | 🇸🇦 SA | apache-2.0 | 55 | 2021-07-05 | |
Whisper Yemeni | Mansoor Saleh | 🌍 INTL | cc-by-nc-sa-4.0 | 53 | 2026-08-19 | |
SpeechBrain wav2vec2 Arabic | SpeechBrain | 🌍 INTL | apache-2.0 | 50 | 2024-02-26 | |
KalemaTech Arabic STT | Salama1429 | 🌍 INTL | apache-2.0 | 38 | 2022-12-28 | |
Whisper-Sudanese-Dialect-small | Ayman Mansour | 🌍 INTL | apache-2.0 | 31 | 2022-12-15 | |
Whisper-base Bahraini | Community (Bahrain) | 🇧🇭 BH | apache-2.0 | 11 | 2026-05-03 | |
Audar-ASR-V1 | Audar AI | 🌍 INTL | apache-2.0 | — | — | |
Cohere Transcribe batch inference | AliOsm | 🌍 INTL | apache-2.0 | — | — | |
Egyptian Arabic ASR and Diarization | Speech Squad | 🇪🇬 EG | mit | — | — | |
IqraAI | Abdirahman Nomad | 🌍 INTL | mit | — | — | |
kaldi-arabic | Asrajeh | 🇸🇦 SA | mit | — | — | |
Klaam | ARBML | 🇸🇦 SA | mit | — | — | |
Tilawa | Yazin Sai | 🌍 INTL | mit | — | — | |
Whisper Arabic dialects | Ahmed Hany | 🌍 INTL | unknown | — | — | |
Whisper Egyptian Arabic | MAdel121 | 🌍 INTL | apache-2.0 | 0 | 2025-05-21 |
Name | Org | Country | License | ⬇ Downloads | Updated | Links |
XTTS-v2 | Coqui | 🌍 INTL | coqui-public-model-license | 6.7M | 2023-12-11 | |
f5tts-algerian-darja | Touati Kamel | 🌍 INTL | apache-2.0 | 12K | 2026-09-23 | |
facebook/mms-tts-ara | Meta | 🌍 INTL | cc-by-nc-4.0 | 6K | 2023-09-01 | |
arabic-emirati-female-piper | Vadim Belsky | 🇦🇪 AE | mit | 1K | 2025-12-01 | |
speecht5_tts_clartts_ar | MBZUAI | 🇦🇪 AE | cc-by-nc-4.0 | 1K | 2025-09-10 | |
Nabra-82M-v0.1 | oddadmix | 🇪🇬 EG | apache-2.0 | 1K | 2026-07-03 | |
DarijaTTS-v0.1-500M | Kandir Research | 🇲🇦 MA | apache-2.0 | 936 | 2025-11-26 | |
NAMAA-Saudi-TTS-V2 | NAMAA-Space | 🇸🇦 SA | cc-by-nc-sa-4.0 | 922 | 2026-04-21 | |
Arabic-TTS-Spark | IbrahimSalah | 🌍 INTL | fair-noncommercial-research-license | 830 | 2025-11-27 | |
Lahgtna OmniVoice v2 | oddadmix | 🇪🇬 EG | unknown | 554 | 2026-06-15 | |
habibi-tts-doda-darija | Jip7e | 🇲🇦 MA | apache-2.0 | 510 | 2026-08-29 | |
Hadra-TTS-f5 | Algerian NLP | 🌍 INTL | apache-2.0 | 441 | 2026-09-23 | |
SILMA TTS v1 | SILMA AI | 🇸🇦 SA | mit | 437 | 2026-08-23 |
|
Nabra 7M Distill | oddadmix | 🇪🇬 EG | apache-2.0 | 297 | 2026-09-16 | |
voho-saudi-speak-0.6b | Voho AI | 🇸🇦 SA | cc-by-nc-sa-4.0 | 262 | 2026-09-14 | |
NAMAA-Saudi-TTS | NAMAA-Space | 🇸🇦 SA | mit | 184 | 2026-01-29 | |
Arabic MMS Speech Synthesis | SeyedAli | 🌍 INTL | cc-by-nc-4.0 | 136 | 2023-09-20 | |
NAMAA-Egyptian-TTS | NAMAA-Space | 🇸🇦 SA | mit | 124 | 2026-03-04 | |
F5-TTS-Arabic | IbrahimSalah | 🌍 INTL | unknown | 99 | 2025-11-13 | |
f5-tts-egyptian-arabic | MAdel121 | 🌍 INTL | cc-by-nc-4.0 | 91 | 2026-02-13 | |
Magpie-TTS-Saudi-Arabic | Ahmed Eladl | 🇸🇦 SA | cc-by-nc-4.0 | 89 | 2026-08-24 | |
Lahgtna Chatterbox v1 | oddadmix | 🇪🇬 EG | mit | 72 | 2026-04-17 | |
Tunisian-TTS | Oussema Nouira | 🇹🇳 TN | cc-by-nc-4.0 | 66 | 2026-06-19 | |
chatterbox-egyptian-v0 | oddadmix | 🇪🇬 EG | mit | 44 | 2026-04-17 | |
LLMVoX | MBZUAI | 🇦🇪 AE | cc-by-nc-sa-4.0 | 28 | 2025-03-16 | |
Arabic Tacotron TTS | yoosif0 | 🌍 INTL | mit | — | — | |
Arabic TTS (Al-Natiq) | Asrajeh | 🇸🇦 SA | mit | — | — | |
Arabic-F5-TTS-v2 | IbrahimSalah | 🌍 INTL | fair-noncommercial-research-license | 0 | 2025-11-13 | |
Audar-TTS-V1 | Audar AI | 🌍 INTL | apache-2.0 | — | — | |
Festival Arabic TTS Docker | Nawar Halabi | 🌍 INTL | unknown | — | — | |
Festival Arabic voices | linuxscout | 🌍 INTL | gpl-3.0 | — | — | |
Habibi-TTS | SWivid | 🌍 INTL | mit | — | — | |
Piper TTS | Rhasspy | 🌍 INTL | mit | — | — | |
tts-arabic Flutter app | nipponjo | 🌍 INTL | unknown | — | — | |
tts-arabic-pytorch | nipponjo | 🌍 INTL | unknown | — | — | |
tts_arabic (ONNX) | nipponjo | 🌍 INTL | unknown | — | — | |
VoiceTut-TTS | Mohammed Aly | 🇪🇬 EG | apache-2.0 | — | — |
Name | Org | Country | License | ⬇ Downloads | Updated | Links |
Arabic-handwritten-OCR-4bit-Qwen2.5-VL-3B-v2 | sherif1313 | 🌍 INTL | apache-2.0 | 8K | 2025-12-29 | |
arabic_PP-OCRv5_mobile_rec | PaddlePaddle | 🌍 INTL | apache-2.0 | 5K | 2025-10-16 | |
Qari-OCR-v0.3-VL-2B-Instruct | NAMAA-Space | 🇸🇦 SA | apache-2.0 | 2K | 2025-06-10 | |
Arabic-English-handwritten-OCR-v3 | sherif1313 | 🌍 INTL | apache-2.0 | 1K | 2025-12-29 | |
Qari-OCR-0.4.0-VL-4B-Instruct | NAMAA-Space | 🇸🇦 SA | apache-2.0 | 1K | 2026-02-01 | |
Qwen3-VL-2B-Persian-Arabic-Ocr-v1.0 | Mohajesmaeili | 🌍 INTL | apache-2.0 | 500 | 2025-12-23 | |
arabic-legal-documents-ocr-1.0 | Bakrianoo | 🇪🇬 EG | gemma | 486 | 2026-02-04 | |
Baseer Nakba | Misraj AI | 🇸🇦 SA | cc-by-nc-sa-4.0 | 469 | 2026-08-18 |
|
Arabic-Qwen3.5-OCR-v4 | sherif1313 | 🌍 INTL | apache-2.0 | 336 | 2026-03-24 | |
Arabic-GLM-OCR-v2 | sherif1313 | 🌍 INTL | apache-2.0 | 331 | 2026-05-27 | |
Katib-Qwen3.5-0.8B-0.1 | oddadmix | 🇪🇬 EG | apache-2.0 | 270 | 2026-04-17 | |
Qari-OCR-0.1-VL-2B-Instruct | NAMAA-Space | 🇸🇦 SA | apache-2.0 | 189 | 2025-06-10 | |
arabic-small-nougat | MohamedRashad | 🌍 INTL | gpl-3.0 | 121 | 2024-11-28 | |
arabic-large-nougat | MohamedRashad | 🌍 INTL | gpl-3.0 | 101 | 2024-11-28 | |
Arabic Deep Learning OCR | Mohammed Fasha | 🇯🇴 JO | mit | — | — | |
Arabic Handwriting Recognition E2E | AHR-OCR2024 | 🌍 INTL | unknown | — | — | |
Arabic-OCR (HusseinYoussef) | Hussein Youssef | 🇪🇬 EG | mit | — | — | |
AtlasOCR | atlasia | 🇲🇦 MA | unknown | 0 | 2025-09-16 | |
Baseer | Misraj | 🇸🇦 SA | unknown | — | — | |
DIMI-Arabic-OCR | AhmedZaky1 | 🌍 INTL | apache-2.0 | 0 | 2025-10-08 | |
Manazir OCR | h9-tec | 🇪🇬 EG | apache-2.0 | — | — | |
QARI-OCR v0.2 | NAMAA-Space | 🇸🇦 SA | unknown | — | — |
Name | Org | Country | License | ⬇ Downloads | Updated | Links |
GATE-AraBert-v1 | Omartificial-Intelligence-Space | 🇸🇦 SA | apache-2.0 | 14K | 2025-09-07 | |
asafaya/bert-base-arabic | asafaya | 🌍 INTL | unknown | 12K | 2023-03-17 | |
Arabic-Triplet-Matryoshka-V2 | Omartificial-Intelligence-Space | 🇸🇦 SA | apache-2.0 | 6K | 2025-09-07 | |
Arabic-STS-Matryoshka-V2 | Omar Elshehy | 🇪🇬 EG | unknown | 6K | 2024-12-29 | |
Arabic-Retrieval-v1.0 | Omar Elshehy | 🇪🇬 EG | apache-2.0 | 5K | 2024-12-19 | |
ARA-Reranker-V1 | Omartificial-Intelligence-Space | 🇸🇦 SA | apache-2.0 | 3K | 2025-04-03 | |
Arabic-MiniLM-L12-v2-all-nli-triplet | Omartificial-Intelligence-Space | 🇸🇦 SA | apache-2.0 | 1K | 2025-06-10 | |
Arabic-all-nli-triplet-Matryoshka | Omartificial-Intelligence-Space | 🇸🇦 SA | apache-2.0 | 1K | 2025-01-23 | |
silma-embedding-matryoshka-v0.1 | SILMA AI | 🇸🇦 SA | apache-2.0 | 755 | 2025-05-15 | |
Arabic-labse-Matryoshka | Omartificial-Intelligence-Space | 🇸🇦 SA | apache-2.0 | 667 | 2025-01-10 | |
silma-embedding-sts-v0.1 | SILMA AI | 🇸🇦 SA | apache-2.0 | 455 | 2024-11-04 | |
GATE-Reranker-V1 | NAMAA-Space | 🇸🇦 SA | apache-2.0 | 423 | 2025-04-03 | |
Semantic-Ar-Qwen-Embed-0.6B | Omartificial-Intelligence-Space | 🇸🇦 SA | apache-2.0 | 239 | 2025-09-07 | |
AraEuroBert-210M | Omartificial-Intelligence-Space | 🇸🇦 SA | mit | 181 | 2025-03-20 | |
DIMI-embedding | AhmedZaky1 | 🌍 INTL | apache-2.0 | 86 | 2025-05-30 | |
Qwen3-Embedding-0.6B Arabic E-commerce | Presto AI | 🌍 INTL | apache-2.0 | 86 | 2026-06-28 | |
AraGemma-Embedding-300m | Omartificial-Intelligence-Space | 🇸🇦 SA | apache-2.0 | 75 | 2025-09-07 | |
Qwen3-VL-Embedding-2B Arabic VDR | Omartificial-Intelligence-Space | 🇸🇦 SA | apache-2.0 | 30 | 2026-04-28 | |
ModernBERT-Arabic | BounharAbdelaziz | 🌍 INTL | unknown | 3 | 2024-12-29 | |
Swan | UBC-NLP | 🌍 INTL | unknown | — | — |
Name | Org | Country | Size | License | ⬇ | Updated | Links |
Waqfeya Library | ieasybooks | 🌍 INTL | 10K-100K books | mit | 129K | 2025-05-14 | |
SARD | riotu-lab | 🇸🇦 SA | — | cc-by-nc-nd-4.0 | 56K | 2026-05-20 | |
Arabic Books | MohamedRashad | 🌍 INTL | 8.5k books | gpl-3.0 | 33K | 2024-11-28 | |
Quranic Recitation Data | zaibihassan | 🌍 INTL | 100K-1M clips | apache-2.0 | 13K | 2026-10-04 | |
Dialectal Arabic Lahgtna v2 | oddadmix | 🇪🇬 EG | 3000h | unknown | 5K | 2026-08-04 | |
Tarteel EveryAyah | Tarteel AI | 🌍 INTL | — | unknown | 4K | 2026-09-17 | |
Common Voice Arabic | Mozilla Foundation | 🌍 INTL | — | cc0-1.0 | 3K | 2025-10-24 |
|
MENASpeechBank | QCRI | 🇶🇦 QA | 26.5h | cc-by-nc-sa-4.0 | 3K | 2026-08-28 | |
Masri 100h | Ehab Negm | 🇪🇬 EG | 100h | cc-by-nc-4.0 | 3K | 2026-08-07 | |
Arabic Aya (2A) | 2A2I | 🌍 INTL | 1M-10M rows | apache-2.0 | 2K | 2024-03-15 | |
Mixed Arabic Datasets (MAD) | M-A-D | 🌍 INTL | — | unknown | 2K | 2023-10-16 | |
Dialectal Arabic Voices | moaead | 🌍 INTL | — | unknown | 2K | 2026-09-26 | |
101 Billion Arabic Words | ClusterlabAi | 🌍 INTL | — | apache-2.0 | 2K | 2024-06-16 | |
MASC Arabic | MohamedRashad | 🌍 INTL | 1000h | cc-by-4.0 | 2K | 2026-04-06 | |
ADI17 | Elyadata | 🌍 INTL | 3000h | unknown | 1K | 2025-08-11 | |
Lahgtna v3 Small | oddadmix | 🇪🇬 EG | 267h | unknown | 1K | 2026-07-17 | |
Tarteel EA-UD | Tarteel AI | 🌍 INTL | — | unknown | 936 | 2022-07-15 | |
arabic-img2md | MohamedRashad | 🌍 INTL | — | gpl-3.0 | 840 | 2024-11-28 | |
ArVoice | MBZUAI | 🇦🇪 AE | — | cc-by-4.0 | 781 | 2025-10-31 | |
ArabicText-Large | Jr23xd23 | 🌍 INTL | — | apache-2.0 | 773 | 2025-10-27 | |
ClArTTS | MBZUAI | 🇦🇪 AE | — | cc-by-4.0 | 769 | 2025-10-01 | |
ADI-20 | Elyadata | 🌍 INTL | — | unknown | 727 | 2026-07-04 | |
Alexandria | UBC-NLP | 🌍 INTL | 107k samples | cc-by-nc-4.0 | 688 | 2026-06-24 | |
Egyptian Arabic ASR Clean | MAdel121 | 🌍 INTL | — | unknown | 668 | 2025-05-04 | |
Arabic-OpenHermes-2.5 | 2A2I | 🌍 INTL | — | apache-2.0 | 641 | 2024-03-15 | |
Iraqi Arabic Sales Dialogue | Ameer Wisam | 🌍 INTL | — | cc-by-4.0 | 577 | 2026-07-30 | |
SFC-mini | King Saud University | 🇸🇦 SA | — | cc-by-nc-4.0 | 551 | 2024-05-08 | |
EvArEST | Melaraby | 🌍 INTL | — | bsd-3-clause | 539 | 2025-11-09 | |
QARI Markdown Mixed Dataset | NAMAA-Space | 🇸🇦 SA | 10K-100K rows | apache-2.0 | 530 | 2025-06-10 |
|
Lahgtna Levantine TTS | Mohammed Aly | 🇪🇬 EG | — | cc-by-4.0 | 512 | 2026-05-30 | |
SpokenNativQA | QCRI | 🇶🇦 QA | 10K-100K rows | cc-by-nc-sa-4.0 | 473 | 2025-05-29 | |
CIDAR | ARBML | 🇸🇦 SA | — | apache-2.0 | 460 | 2025-07-01 | |
Quranic Audio (non-Arabic speakers) | RetaSy | 🌍 INTL | — | unknown | 448 | 2024-05-14 | |
Arabic-VLM-Full-Pearl | MohamedRashad | 🌍 INTL | — | unknown | 443 | 2025-12-08 | |
Arabic Speech Corpus | halabi2016 | 🌍 INTL | — | cc-by-4.0 | 417 | 2024-08-14 | |
MoulSot-Full | atlasia | 🇲🇦 MA | 1500h | unknown | 399 | 2026-05-05 | |
Shifaa Medical | Ahmed Selem | 🇪🇬 EG | — | apache-2.0 | 394 | 2025-02-28 | |
ArabicWeb24 | lightonai | 🌍 INTL | — | odc-by | 392 | 2024-09-23 | |
Darija-English (DODa) | Darija Open Dataset | 🇲🇦 MA | — | cc | 384 | 2024-04-17 | |
KFUPM Arabic AI Text Detection | KFUPM-JRCAI | 🇸🇦 SA | — | unknown | 383 | 2026-05-22 | |
FineWeb-Edu Arabic | SultanR | 🌍 INTL | 10M-100M rows | unknown | 373 | 2026-08-17 | |
Open-ArabicaQA | DataScienceUIBK | 🌍 INTL | 10K-100K rows | mit | 345 | 2024-03-27 | |
Algerian Darja Corpus | Touati Kamel | 🌍 INTL | 10K-100K rows | cc-by-4.0 | 343 | 2026-09-18 | |
Egyptian ASR MGB-3 | Mightystudent | 🇪🇬 EG | 1K-10K rows | unknown | 322 | 2024-09-03 | |
Algerian Darija | ayoubkirouane | 🌍 INTL | 100K-1M rows | cc-by-4.0 | 321 | 2026-04-18 | |
Ashaar | ARBML | 🇸🇦 SA | 254k poems | unknown | 317 | 2024-07-14 | |
Arabic-to-Code 8 Languages 3M | ISLAM-PO | 🌍 INTL | 3M | cc-by-4.0 | 313 | 2026-09-25 | |
Arabic Tweets | Mohammad Albarham | 🌍 INTL | — | cc-by-4.0 | 304 | 2023-04-08 | |
Darija Speech to Text | adiren7 | 🇲🇦 MA | — | apache-2.0 | 304 | 2024-08-11 | |
Arabic-English Code-Switching | MohamedRashad | 🌍 INTL | — | gpl | 272 | 2024-07-04 | |
MasriAudio-Mega | Mohamed Gomaa | 🇪🇬 EG | — | unknown | 259 | 2026-02-05 | |
Arabic Manuscript Collection | TheSeniorTeam | 🌍 INTL | — | mixed-per-subset | 254 | 2026-09-12 | |
SADA | SDAIA | 🇸🇦 SA | — | cc-by-4.0 | 254 | 2024-09-12 | |
SANAD | ARBML | 🇸🇦 SA | — | unknown | 250 | 2024-05-07 | |
UFAL Parallel Corpus of North Levantine | UFAL Charles University | 🌍 INTL | — | cc-by-nc-sa-4.0 | 250 | 2025-03-30 | |
Arabic MSA 25K Saudi Male Tashkeel | HeshamHaroon | 🌍 INTL | 25k pairs | cc-by-4.0 | 241 | 2026-04-20 | |
LlamaLens Arabic | QCRI | 🇶🇦 QA | 10K-100K rows | cc-by-nc-sa-4.0 | 238 | 2025-03-13 | |
Arabic POS Dialect | QCRI | 🇶🇦 QA | — | apache-2.0 | 235 | 2024-01-09 | |
Tunisian Derja Dataset | LINAGORA | 🌍 INTL | — | cc-by-sa-4.0 | 234 | 2025-09-15 | |
MultiNativQA | QCRI | 🇶🇦 QA | 10K-100K rows | cc-by-nc-sa-4.0 | 233 | 2026-03-31 | |
DODa Audio | atlasia | 🇲🇦 MA | — | mit | 220 | 2025-02-07 | |
Arabic Billion Words | MohamedRashad | 🌍 INTL | — | unknown | 211 | 2023-12-16 | |
Alpaca-GPT4 Arabic | FreedomIntelligence | 🌍 INTL | — | apache-2.0 | 207 | 2023-08-06 | |
Arabic_Function_Calling | HeshamHaroon | 🌍 INTL | — | apache-2.0 | 199 | 2025-12-14 | |
LUB Saudi Arabic Intent | NABA AI | 🇸🇦 SA | — | cc-by-4.0 | 199 | 2026-09-24 | |
Saudi Najdi Dialect Conversations | HeshamHaroon | 🌍 INTL | 3.5k conversations | apache-2.0 | 199 | 2026-02-18 | |
Egyptian SFT Mixture | MBZUAI-Paris Lab | 🇦🇪 AE | — | unknown | 196 | 2025-06-17 | |
Sadeed Tashkeela | Misraj AI | 🇸🇦 SA | 1M-10M rows | unknown | 182 | 2026-09-17 | |
ArCOV-19 | Qatar University (bigIR) | 🇶🇦 QA | — | unknown | 177 | 2023-09-19 | |
BAREC Corpus | CAMeL Lab, NYUAD | 🇦🇪 AE | — | cc-by-sa-4.0 | 177 | 2025-09-02 | |
ArSAS | ARBML | 🇸🇦 SA | 21k tweets | unknown | 173 | 2022-10-15 | |
Sadeem QnA | Sadeem AI | 🌍 INTL | 1K-10K rows | apache-2.0 | 172 | 2024-02-05 | |
Syrian Podcast Audio Collection | oddadmix | 🇪🇬 EG | — | other | 170 | 2026-06-18 | |
Rasaif | ImruQays | 🌍 INTL | — | cc-by-4.0 | 166 | 2024-03-22 | |
Quran Tafseer Collection | MohamedRashad | 🌍 INTL | — | apache-2.0 | 161 | 2024-09-13 | |
FineWeb2 Najdi Arabic | Omartificial-Intelligence-Space | 🇸🇦 SA | 10M-100M rows | odc-by | 156 | 2024-12-12 | |
FineWeb2 Moroccan Arabic | Omartificial-Intelligence-Space | 🇸🇦 SA | — | odc-by | 148 | 2024-12-12 | |
Mawqif | KFUPM | 🇸🇦 SA | — | unknown | 148 | 2024-01-18 | |
Al-Maktabah Al-Shamilah | MohamedRashad | 🌍 INTL | — | unknown | 147 | 2025-09-11 | |
FineWeb2 Egyptian Arabic | Omartificial-Intelligence-Space | 🇸🇦 SA | 10M-100M rows | odc-by | 147 | 2024-12-12 | |
TSAC | Fethi Bougares | 🇹🇳 TN | — | lgpl-3.0 | 147 | 2024-01-18 | |
ArabicDeXlit Corpus | mohammedaly22 | 🌍 INTL | — | cc-by-sa-4.0 | 142 | 2026-09-20 | |
QADI | Abdelrahman-Rezk | 🌍 INTL | — | unknown | 139 | 2022-05-17 | |
AtlasOCR Darija Dataset | atlasia | 🇲🇦 MA | 10K-100K rows | unknown | 137 | 2025-09-16 | |
Mostafa Mahmoud Arabic Speech | oddadmix | 🇪🇬 EG | 187h | unknown | 137 | 2026-06-18 | |
Shifaa Mental Health | Ahmed Selem | 🇪🇬 EG | — | apache-2.0 | 137 | 2025-03-08 | |
WASIL | QCRI | 🇶🇦 QA | 9.3k turns | cc-by-nc-sa-4.0 | 134 | 2026-05-19 | |
TunSwitch (diacritized) | MBZUAI | 🇦🇪 AE | — | unknown | 132 | 2025-09-04 | |
ArMeme | QCRI | 🇶🇦 QA | 1K-10K rows | cc-by-nc-sa-4.0 | 130 | 2024-10-08 | |
InstAr-500k | ClusterlabAi | 🌍 INTL | 500k rows | apache-2.0 | 127 | 2024-07-30 | |
MGB-2 (QCRI) | QCRI | 🇶🇦 QA | ~1200h | other | 126 | 2025-10-13 | |
MADIS5 | badrex | 🌍 INTL | — | cc | 122 | 2025-06-02 | |
ArSarcasm-v2 | ARBML | 🇸🇦 SA | — | unknown | 121 | 2024-07-19 | |
Masri Podcast 300h | Ehab Negm | 🇪🇬 EG | — | cc-by-nc-4.0 | 118 | 2026-09-07 | |
Algerian Arabic-English 50K | Algerian NLP | 🌍 INTL | 50k | apache-2.0 | 112 | 2026-09-17 | |
Sitr Arabic PII | mabahboh | 🇸🇦 SA | — | apache-2.0 | 111 | 2026-09-19 | |
DziriAlign | Algerian NLP | 🌍 INTL | — | mit | 109 | 2026-09-17 | |
Saudi Dialect Speech (Male) | Community (Saudi speech) | 🌍 INTL | — | unknown | 109 | 2025-08-23 | |
Asfar | HeshamHaroon | 🌍 INTL | 123k pages | cc-by-4.0 | 105 | 2026-04-22 | |
Evol-Instruct Arabic GPT4 | FreedomIntelligence | 🌍 INTL | — | apache-2.0 | 104 | 2023-12-06 | |
palm | UBC-NLP | 🌍 INTL | — | cc-by-nc-nd-4.0 | 103 | 2025-10-28 | |
Saudi Dialect ASR v1.0 | Community (Saudi speech) | 🌍 INTL | — | unknown | 103 | 2025-09-16 | |
QASR | QCRI | 🇶🇦 QA | 2000h | cc-by-nc-2.0 | 102 | 2025-10-13 | |
Sanadset | ARBML | 🇸🇦 SA | — | unknown | 102 | 2022-10-25 | |
SADA22 (MSA) | badrex | 🌍 INTL | — | cc-by-nc-sa-4.0 | 101 | 2025-05-12 | |
The Arabic E-Book Corpus | mohres | 🌍 INTL | — | cc-by-4.0 | 98 | 2024-06-09 | |
Dahee7 | HeshamHaroon | 🌍 INTL | — | apache-2.0 | 96 | 2024-02-06 | |
AtlasIA Darija-English | atlasia | 🇲🇦 MA | 100K-1M pairs | cc-by-nc-4.0 | 95 | 2024-05-16 | |
DetoxLLM | UBC-NLP | 🌍 INTL | — | unknown | 91 | 2024-11-12 | |
Atlaset | atlasia | 🇲🇦 MA | 1M-10M rows | unknown | 89 | 2025-03-31 | |
AceGPT-v2 AlignmentData | FreedomIntelligence | 🌍 INTL | 10K-100K rows | apache-2.0 | 88 | 2025-12-29 | |
Darija-SFT-Mixture | MBZUAI-Paris Lab | 🇦🇪 AE | — | odc-by | 84 | 2025-05-02 | |
Arabic NLI Triplet | Omartificial-Intelligence-Space | 🇸🇦 SA | 10K-100K rows | apache-2.0 | 83 | 2024-08-02 | |
ArzEn-MultiGenre | HeshamHaroon | 🌍 INTL | 1K-10K pairs | cc-by-4.0 | 83 | 2023-12-31 | |
arabic-hate-speech-superset | manueltonneau | 🌍 INTL | — | unknown | 72 | 2024-11-28 | |
Sudanese Dialect Speech | ARBML | 🇸🇦 SA | — | unknown | 70 | 2022-12-04 | |
Emirati Dialect Shows Audio Transcription | Community (Emirati speech) | 🌍 INTL | — | afl-3.0 | 68 | 2022-05-30 | |
Gulf Arabic Tweets 2018-2020 | Community (Gulf) | 🌍 INTL | — | cc-by-4.0 | 64 | 2025-01-10 | |
AlexandriaX Back-Translated Pairs | NAMAA-Space | 🇸🇦 SA | 349k | cc-by-nc-4.0 | 61 | 2026-08-21 | |
Alpaca Arabic Instruct | Yasbok | 🌍 INTL | — | unknown | 59 | 2024-04-21 | |
DarijaBridge | MAD Community | 🇲🇦 MA | 1M-10M pairs | apache-2.0 | 57 | 2023-11-26 | |
Moroccan Darija Wiki Audio Dataset | atlasia | 🇲🇦 MA | 1K-10K rows | cc-by-4.0 | 54 | 2025-02-14 | |
Shami | ARBML | 🇸🇦 SA | — | unknown | 54 | 2024-07-14 | |
Alsanaa Emirati Arabic ASR | Community (Emirati speech) | 🌍 INTL | — | other | 53 | 2026-06-13 | |
Arabic Reasoning Dataset | Omartificial-Intelligence-Space | 🇸🇦 SA | — | apache-2.0 | 52 | 2024-12-01 | |
FineWeb2 North Levantine Arabic | Omartificial-Intelligence-Space | 🇸🇦 SA | — | odc-by | 52 | 2024-12-12 | |
Yemeni Speech Emotion Dataset | Fatimah Emad Eldin | 🌍 INTL | — | other | 52 | 2026-05-01 | |
Maknuune | ARBML | 🇸🇦 SA | — | unknown | 50 | 2024-04-07 | |
AFND | ARBML | 🇸🇦 SA | — | unknown | 49 | 2022-10-31 | |
FIGNEWS 2024 | CAMeL Lab, NYUAD | 🇦🇪 AE | — | cc-by-sa-4.0 | 49 | 2024-07-27 | |
NileChat Arabizi-Egypt | UBC-NLP | 🌍 INTL | — | cc-by-nc-4.0 | 49 | 2025-11-11 | |
Arab3M-Triplets | Omartificial-Intelligence-Space | 🇸🇦 SA | 1M-10M rows | apache-2.0 | 47 | 2024-08-29 | |
ArGuard Track A | QCRI | 🇶🇦 QA | 1K-10K rows | cc-by-nc-4.0 | 46 | 2026-08-10 | |
Egyptian Dialogue | fr3on | 🌍 INTL | — | cc-by-4.0 | 45 | 2025-12-22 | |
Arabic Math SFT | Omartificial-Intelligence-Space | 🇸🇦 SA | 1K-10K rows | apache-2.0 | 43 | 2026-04-09 | |
OmaniArabicNMT | XRI Global | 🌍 INTL | — | cc-by-sa-4.0 | 43 | 2025-02-27 | |
PEARL | UBC-NLP | 🌍 INTL | — | cc-by-nc-nd-4.0 | 42 | 2025-10-27 | |
AraSenti | King Saud University | 🇸🇦 SA | — | unknown | 41 | 2024-04-14 | |
DVoice | ARBML | 🇸🇦 SA | — | unknown | 41 | 2022-12-03 | |
NileChat LHV-Egypt | UBC-NLP | 🌍 INTL | — | cc-by-nc-4.0 | 40 | 2025-11-11 | |
Lahga Arabic Dialects Dictionary | Lahga | 🌍 INTL | — | cc-by-sa-4.0 | 38 | 2026-10-02 | |
STMC | Faisal Qarah | 🇸🇦 SA | — | cc-by-nc-4.0 | 37 | 2024-05-08 | |
TUNIZI | ARBML | 🇸🇦 SA | — | unknown | 37 | 2024-03-23 | |
MediaSpeech Arabic | ARBML | 🇸🇦 SA | 10h | unknown | 36 | 2022-11-03 | |
PADIC | ARBML | 🇸🇦 SA | — | unknown | 36 | 2022-10-21 | |
Arabic Dialects to MSA | PRAli22 | 🌍 INTL | — | afl-3.0 | 35 | 2024-03-01 | |
Misraj MSDD | Misraj AI | 🇸🇦 SA | — | apache-2.0 | 29 | 2026-09-17 | |
SaudiDialect-Triplet-21 | Omartificial-Intelligence-Space | 🇸🇦 SA | 1K-10K rows | cc-by-nc-4.0 | 29 | 2025-11-29 | |
Ara-TyDi Triplet | NAMAA-Space | 🇸🇦 SA | 100K-1M rows | apache-2.0 | 24 | 2024-11-21 | |
BAREC-10M | CAMeL Lab, NYUAD | 🇦🇪 AE | 10M words | cc-by-sa-4.0 | 24 | 2026-06-08 | |
Darija-LID | atlasia | 🇲🇦 MA | — | unknown | 24 | 2025-05-09 | |
ASCAT | NAMAA-Space | 🇸🇦 SA | under 1K rows | cc-by-nc-4.0 | 23 | 2026-04-02 |
|
Arabic Triplet With Multi-Negatives | NAMAA-Space | 🇸🇦 SA | 10K-100K rows | apache-2.0 | 22 | 2024-11-21 | |
Emirati Audio Dataset 20H | Community (Emirati speech) | 🌍 INTL | 20h | unknown | 22 | 2025-04-24 | |
AraPoems | King Saud University | 🇸🇦 SA | — | cc-by-nc-4.0 | 21 | 2024-03-19 | |
Arabic-Image-Captioning_100M | Misraj | 🇸🇦 SA | — | unknown | 20 | 2026-09-17 | |
KSUCCA | King Saud University | 🇸🇦 SA | — | unknown | 20 | 2022-10-26 | |
ThatiAR | QCRI | 🇶🇦 QA | — | cc-by-nc-sa-4.0 | 19 | 2024-10-21 | |
Misraj MUDD | Misraj AI | 🇸🇦 SA | — | unknown | 18 | 2026-09-17 |
|
ArabicCorpus2B | tarekeldeeb | 🌍 INTL | — | other | 7 | 2022-12-14 | |
Arabic-OCR-Dataset | mssqpi | 🌍 INTL | — | unknown | — | — | |
arabic-text-diacritization | AliOsm | 🌍 INTL | — | mit | — | — | |
ArabicaQA | DataScienceUIBK | 🌍 INTL | — | mit | — | — | |
ArTST | MBZUAI | 🇦🇪 AE | — | unknown | — | — | |
Baladi | SinaLab | 🌍 INTL | — | unknown | — | — | |
Calliar | ARBML | 🇸🇦 SA | — | mit | — | — | |
Casablanca | UBC-NLP | 🌍 INTL | — | unknown | — | — | |
Curras | SinaLab | 🌍 INTL | — | unknown | — | — | |
dialogue-arabic-dialects | tareknaous | 🌍 INTL | — | mit | — | — | |
DODa Darija Open Dataset | Darija Open Dataset | 🇲🇦 MA | — | unknown | — | — | |
Gazelle | UBC-NLP | 🌍 INTL | — | unknown | — | — | |
Gumar Corpus | CAMeL Lab, NYUAD | 🇦🇪 AE | — | unknown | — | — | |
MADAR Parallel Corpus | CAMeL Lab, NYUAD | 🇦🇪 AE | 25 cities | unknown | — | — | |
masader | ARBML | 🇸🇦 SA | — | gpl-3.0 | — | — | |
Misraj-DocOCR Benchmark | Misraj | 🇸🇦 SA | — | unknown | — | — | |
Muharaf | Muharaf Project | 🌍 INTL | — | unknown | — | — | |
Nabra | SinaLab | 🌍 INTL | — | unknown | — | — | |
Open-Source Arabic TTS Benchmark | SILMA AI | 🇸🇦 SA | — | unknown | — | — | |
OpenITI Corpus | KITAB Project | 🌍 INTL | — | unknown | — | — |
|
SawtArabi | unknown | 🌍 INTL | — | unknown | — | — | |
Tashkeela | Anwarvic | 🌍 INTL | — | unknown | — | — | |
Tunisian MSA Speech (OpenSLR 46) | OpenSLR | 🌍 INTL | — | unknown | — | — | |
Wojood | SinaLab | 🌍 INTL | — | mit | — | — |
Name | Org | Country | License | Links | Notes |
Alfanous | Alfanous team | 🌍 INTL | lgpl-3.0 | Arabic search engine API for the Quran with simple and advanced queries. | |
Alyahmor | linuxscout | 🌍 INTL | gpl-3.0 | Arabic flexional morphology generator; maintainer is Algerian. | |
Amiri | Aliftype | 🌍 INTL | ofl-1.1 | Classical Naskh body-text typeface for Arabic, open under OFL. | |
AQMAR Arabic Tagger | CMU AQMAR | 🌍 INTL | gpl-3.0 | Sequence tagger with cost-augmented structured perceptron for Arabic. | |
Arabic dialect ID (17 countries) | swshon | 🌍 INTL | mit | Country-level spoken Arabic dialect identification across 17 Arab countries. | |
Arabic GEC (CAMeL Lab) | CAMeL Lab, NYUAD | 🇦🇪 AE | mit | Code, models and data for Arabic grammatical error detection and correction. | |
Arabic OCR Study Group | Jordan Open Source Association | 🇯🇴 JO | unknown | Arabic handwriting dataset and starter code for a deep learning study group. | |
Arabic pronunciation tool | Motaz Saad | 🌍 INTL | gpl-3.0 | Converts diacritised Arabic text to phoneme sequences; Palestine. | |
Arabic TTS Arena | Navid Gen AI | 🌍 INTL | unknown | Modal backend for a blind-comparison arena ranking Arabic TTS systems. | |
arabic-ner (hatmimoha) | Mohamed Hatmi | 🇲🇦 MA | apache-2.0 | Named entity recognition system for Arabic. | |
arabic-stop-words | mohataher | 🌍 INTL | mit | Largest list of Arabic stop words | |
arabic-vocalization | nipponjo | 🌍 INTL | unknown | Shakkala and Shakkelha diacritization models ported to PyTorch and ONNX. | |
Arabic_Diacritization | almodhfer | 🌍 INTL | unknown | Several deep learning models for restoring Arabic diacritics in PyTorch. | |
arabic_vocalizer | nipponjo | 🌍 INTL | mit | Deep-learning diacritization (ONNX format) | |
ArabicNER | Liyuan Liu | 🌍 INTL | apache-2.0 | Arabic named entity recognition system with strong reported performance. | |
arabicprocess | unknown | 🌍 INTL | unknown | Python library for Arabic preprocessing | |
ArabicStopWords (linuxscout) | linuxscout | 🌍 INTL | unknown | Classified Arabic stop word list; maintainer is Algerian. | |
ArabicTransliterator | Music Technology Group | 🌍 INTL | unknown | Romanizes Arabic text following the ALA-LC scheme. | |
AraNizer | riotu-lab | 🇸🇦 SA | unknown | Custom SentencePiece and BPE tokenizers tailored for Arabic. | |
AraSpell | Msalhab96 | 🌍 INTL | mit | Framework for Arabic spelling correction with several seq2seq architectures. | |
ARBML | ARBML | 🇸🇦 SA | mit | Collection of Arabic NLP and computer vision projects with demo notebooks. | |
Arramooz | linuxscout | 🌍 INTL | gpl-2.0 | Arabic dictionary for morphological analysis; maintainer is Algerian. | |
Ashaar | ARBML | 🇸🇦 SA | unknown | Arabic poetry analysis and generation toolkit. | |
Assem Arabic Light Stemmer | Assem Chelli | 🌍 INTL | unknown | Snowball-based Arabic light stemming algorithm with multiple language ports; Algeria. | |
AyaSpell | linuxscout | 🌍 INTL | unknown | Arabic dictionary for the Hunspell spell checker; maintainer is Algerian. | |
Bayanat | ARBML | 🇸🇦 SA | mit | Explore the contents of Arabic text datasets. | |
Buckwalter transliteration script | Kenton Murray | 🌍 INTL | unknown | Small Python script for Buckwalter transliteration of Arabic. | |
camel_tools | CAMeL Lab, NYUAD | 🇦🇪 AE | mit | Suite of Arabic NLP tools (morphology, POS, NER, etc.) | |
CamelMorph | CAMeL Lab, NYUAD | 🇦🇪 AE | mit | Builds large open-source morphological models for Arabic and its dialects. | |
CamelParser2.0 | CAMeL Lab, NYUAD | 🇦🇪 AE | unknown | Arabic dependency parser built on CAMeL Tools morphology for MSA and dialects. | |
CATT | Abjad AI | 🌍 INTL | unknown | Character-based Tashkeel Transformer, SOTA results | |
CATT (official) | Abjad AI | 🌍 INTL | apache-2.0 | Official implementation of the CATT Arabic diacritization models. | |
Deep Diacritization | BKHMSI | 🌍 INTL | agpl-3.0 | Official repository of the Deep Diacritization paper. | |
Dorar Hadith API | Ahmed El Tabarani | 🇪🇬 EG | mit | Intermediary API over dorar.net hadith search and grading. | |
EasyOCR | JaidedAI | 🌍 INTL | apache-2.0 | Ready-to-use OCR with Arabic support (80+ languages) | |
ElixirFM | Otakar Smrz | 🌍 INTL | unknown | Functional Arabic morphology system in Haskell. | |
Farasa | QCRI | 🇶🇦 QA | unknown | Fast and accurate Arabic text processing toolkit | |
farasapy | Maged Saeed | 🇸🇦 SA | mit | Python wrapper around the Farasa Arabic NLP toolkit. | |
Fine-Tashkeel | unknown | 🌍 INTL | unknown | Fine-tuned ByT5, 40% WER reduction | |
Franco-Arabic Transliterator | Amr Keleg | 🇪🇬 EG | gpl-3.0 | Rule-based converter from romanized (Franco) Arabic to Arabic script. | |
Hadith API (fawazahmed0) | fawazahmed0 | 🌍 INTL | unlicense | Free hadith API with multiple languages and grading. | |
JsLingua | Abdelkrime Aries | 🌍 INTL | apache-2.0 | JavaScript libraries to process Arabic and other languages; Algeria. | |
Khoja Stemmer CLI | Motaz Saad | 🌍 INTL | apache-2.0 | Command line version of the Khoja Arabic rooting stemmer; Palestine. | |
libtashkeel | Musharraf Omer | 🌍 INTL | mit | Arabic diacritization in Rust with Python, C++ and WASM bindings. | |
Lucene Arabic Analyzer | Msarhan | 🌍 INTL | mit | Apache Lucene analyzer for Arabic with a root-based stemmer. | |
MADAMIRA | CAMeL Lab, NYUAD | 🇦🇪 AE | unknown | Morphological analysis, diacritization, POS tagging | |
Maha | TRoboto | 🌍 INTL | bsd-3-clause | Text processing library for Arabic text | |
MGB-2 Arabic ASR Challenge 2016 | QCRI | 🇶🇦 QA | unknown | Resources and recipes for the 2016 multi-genre broadcast Arabic ASR challenge. | |
Mishkal | linuxscout | 🌍 INTL | gpl-3.0 | Rule-based diacritizer with dictionary lookups | |
Multilevel Diacritizer | Hamza5 | 🌍 INTL | unknown | Extensible deep-learning Arabic diacritizer restoring several diacritic levels; Algeria. | |
nmatheg | ARBML | 🇸🇦 SA | unknown | Simple strategy for training and fine-tuning NLP models for Arabic. | |
Open Hadith Data | mhashim6 | 🌍 INTL | unknown | Open hadith databases covering nine books including the six canonical collections. | |
PaddleOCR | PaddlePaddle | 🌍 INTL | apache-2.0 | High-performance multilingual OCR with Arabic support | |
Pipeline Diacritizer | Hamza5 | 🌍 INTL | mit | Multi-level Arabic diacritics restoration tool; Algeria. | |
process-arabic-text | Motaz Saad | 🌍 INTL | gpl-3.0 | Pre-processes Arabic text by removing diacritics, punctuation and repeated characters; Palestine. | |
PyArabic | linuxscout | 🌍 INTL | gpl-3.0 | Python package for Arabic text manipulation | |
python-arabic-reshaper | Abdullah Diab | 🌍 INTL | mit | Reshapes Arabic text so it renders correctly in apps without Arabic shaping support. | |
python-bidi | Meir Kriheli | 🌍 INTL | lgpl-3.0 | Pure-Python Unicode bidirectional algorithm, commonly paired with arabic-reshaper. | |
Qalam | Misraj AI | 🇸🇦 SA | gpl-3.0 | Arabic PDF text extraction that preserves logical word order and avoids corrupting corpora. | |
Qalsadi | linuxscout | 🌍 INTL | unknown | Arabic morphological analyzer and lemmatizer | |
qawafi | ARBML | 🇸🇦 SA | mit | Arabic poetry analysis | |
Quran and Hadith Search | fawazahmed0 | 🌍 INTL | unknown | Search engine over Quran and hadith texts. | |
QURAN-NLP (islamAndAi) | islamAndAi | 🌍 INTL | apache-2.0 | Quran, hadith, tafsir and corpus linguistics resources prepared for NLP. | |
Quranic Universal Library | Tarteel AI | 🌍 INTL | mit | Tarteel collection of Quran text, audio, translation and tafsir resources. | |
Qutrub | linuxscout | 🌍 INTL | unknown | Arabic verb conjugator; maintainer is Algerian. | |
Qutuf | Qutuf | 🌍 INTL | unknown | Arabic morphological analyzer and part-of-speech tagger. | |
RTLTMPro | Pnarimani | 🌍 INTL | mit | Right-to-left Text Mesh Pro plugin for Unity supporting Arabic and Persian. | |
Ruqia | Ruqyai | 🇸🇦 SA | mit | Python library to process, prepare and clean Arabic text. | |
Sadeed | Misraj AI | 🇸🇦 SA | unknown | Small language model for diacritization | |
Sarf | Alsaydi | 🌍 INTL | mit | Arabic morphology system. | |
Saudi Riyal Font | Emran Alhaddad | 🇸🇦 SA | unknown | Open-source font for the Saudi Riyal currency symbol. | |
Shakkala | AliOsm | 🌍 INTL | mit | Neural vocalization using bidirectional LSTM | |
SinaTools | SinaLab | 🌍 INTL | mit | Open source toolkit by SinaLab (Python APIs, CLI) | |
SOQAL | Hussein Mozannar | 🇱🇧 LB | mit | Arabic open-domain question answering with neural reading comprehension. | |
Tanqeeh | Noor Bayan | 🌍 INTL | mit | Python library for preprocessing and cleaning Arabic text. | |
tarteel-ml | Tarteel AI | 🌍 INTL | mit | Pre-processing and training scripts for the Tarteel Quran recitation dataset. | |
Tashaphyne | linuxscout | 🌍 INTL | gpl-3.0 | Arabic light stemmer and segmentor; maintainer is Algerian. | |
Tesseract OCR | Tesseract OCR | 🌍 INTL | apache-2.0 | Open-source OCR engine with Arabic language packs | |
tkseem | ARBML | 🇸🇦 SA | mit | Arabic Tokenization | |
tnkeeh | ARBML | 🇸🇦 SA | mit | Arabic text cleaning, normalization, preprocessing | |
TURJUMAN | UBC-NLP | 🌍 INTL | apache-2.0 | Neural toolkit translating from 20 languages into Modern Standard Arabic. | |
W3C Arabic Layout Requirements | W3C | 🌍 INTL | unknown | Documents gaps and requirements for Arabic-script layout on the web and in digital publishing. | |
YaraSpell | linuxscout | 🌍 INTL | gpl-3.0 | Simplified Arabic spell checker; maintainer is Algerian. |
Name | Org | Country | License | Links | Notes |
TunisianMMLU | LINAGORA | 🌍 INTL | cc-by-nc-sa-4.0 | MMLU translated into Tunisian Derja, LINAGORA (France); evaluated with lighteval. | |
ArabicMMLU | MBZUAI | 🇦🇪 AE | cc-by-nc-4.0 | Multi-task language understanding from school exams | |
DarijaMMLU | MBZUAI-Paris Lab | 🇦🇪 AE | mit |
| MMLU translated into Moroccan Darija, 22k+ multiple-choice questions. |
AlGhafa Arabic LLM Benchmark (Native) | Open Arabic LLM Leaderboard (OALL) | 🌍 INTL | unknown | Native-Arabic multiple-choice evaluation tasks used as OALL leaderboard tasks. | |
OALL Arabic MMLU | Open Arabic LLM Leaderboard (OALL) | 🌍 INTL | unknown | GPT-translated Arabic MMLU copy from FreedomIntelligence, used as an OALL v1 task. | |
Human-Translated Arabic MMLU | MBZUAI | 🇦🇪 AE | unknown | Human-translated MMLU into Arabic from MBZUAI, companion to ArabicMMLU. | |
Arabic EXAMS (OALL) | Open Arabic LLM Leaderboard (OALL) | 🌍 INTL | unknown | Arabic subset of the EXAMS multilingual school-exam benchmark, an OALL task. | |
EgyMMLU | UBC-NLP | 🌍 INTL | unknown | MMLU translated into Egyptian Arabic from UBC (Canada), released with NileChat. | |
Quranic ASR Benchmark | Quran Lab | 🌍 INTL | other | Small benchmark set for evaluating ASR models on Quran recitation. | |
ALRAGE | Open Arabic LLM Leaderboard (OALL) | 🌍 INTL | unknown | Arabic retrieval-augmented generation evaluation set used in OALL v2. | |
AraTrust | Asas AI | 🌍 INTL | mit | Arabic LLM trustworthiness benchmark across truthfulness, ethics, safety and privacy. | |
AraDICE ArabicMMLU Egyptian | QCRI | 🇶🇦 QA | cc-by-nc-sa-4.0 | Egyptian-dialect translation of ArabicMMLU from the QCRI AraDiCE benchmark suite. | |
ALM-Bench | MBZUAI | 🇦🇪 AE | cc-by-nc-4.0 | All Languages Matter multimodal cultural benchmark covering 100 languages including Arabic. | |
MMLU Arabic (FreedomIntelligence) | FreedomIntelligence | 🌍 INTL | mit | MMLU translated into Arabic by gpt-3.5-turbo. | |
AlGhafa Arabic LLM Benchmark (Translated) | Open Arabic LLM Leaderboard (OALL) | 🌍 INTL | unknown | Machine-translated companion tasks to AlGhafa native, used in OALL v1. | |
MadinahQA | MBZUAI | 🇦🇪 AE | cc-by-nc-4.0 | Arabic language and grammar multiple-choice QA split released with ArabicMMLU. | |
ARCD | Mozannar et al. | 🌍 INTL | mit | Arabic Reading Comprehension Dataset of 1,395 Wikipedia-based questions from the SOQAL paper. | |
QuranMB.v2 | IqraEval | 🌍 INTL | unknown | IqraEval benchmark for Quranic mispronunciation detection. | |
AraGen | Inception AI (G42) | 🇦🇪 AE | unknown | Generative Arabic LLM benchmark with 3C3H scoring and dynamic periodic refresh, with MBZUAI. | |
ArabCulture | MBZUAI | 🇦🇪 AE | cc-by-nc-sa-4.0 |
| Culturally grounded commonsense reasoning benchmark across 13 Arab countries written natively. |
EgyptianMMLU | MBZUAI-Paris Lab | 🇦🇪 AE | unknown | MMLU translated into Egyptian Arabic, released with Nile-Chat. | |
Dialectal Arabic MMLU | MBZUAI | 🇦🇪 AE | cc-by-4.0 | Human-translated MMLU extended to five Arabic dialects plus MSA. | |
DuwatBench | MBZUAI | 🇦🇪 AE | apache-2.0 | Benchmark on Arabic calligraphy images bridging language and visual heritage for multimodal models. | |
Arabic EXAMS-Redux | Inception Labs | 🇦🇪 AE | cc-by-sa-4.0 | Corrected and text-repaired version of OALL/Arabic_EXAMS. | |
SadeedDiac-25 | Misraj AI | 🇸🇦 SA | unknown |
| Benchmark for Arabic diacritization covering MSA and classical text. |
DarijaHellaSwag | MBZUAI-Paris Lab | 🇦🇪 AE | mit | HellaSwag translated into Moroccan Darija for commonsense evaluation. | |
DarijaBench | MBZUAI-Paris Lab | 🇦🇪 AE | odc-by | Darija evaluation sets for summarization, translation and sentiment analysis, released with Atlas-Chat. | |
Alyah Emirati Benchmark | TII (UAE) | 🇦🇪 AE | unknown | Emirati dialect benchmark for Arabic LLMs released alongside Falcon-Arabic work. | |
CAMEL-Bench | MBZUAI | 🇦🇪 AE | unknown |
| Arabic large multimodal model benchmark across eight domains: OCR, charts, medical, remote sensing, video. |
ArabicRAGB | HeshamHaroon | 🌍 INTL | cc-by-sa-4.0 | Arabic RAG Benchmark (multi-dialect) | |
AraPro | HUMAIN | 🇸🇦 SA | unknown | 5,001 Arabic multiple-choice questions on professional domains from the ALLaM evaluation suite. | |
AraMath | HUMAIN | 🇸🇦 SA | apache-2.0 | 605 Arabic math word problems in multiple-choice form adapted from ArMath. | |
ARB | MBZUAI | 🇦🇪 AE | unknown | Comprehensive Arabic multimodal reasoning benchmark with step-by-step reasoning annotations. | |
AraIFEval | HUMAIN | 🇸🇦 SA | apache-2.0 | Arabic instruction-following benchmark, 535 instances with verifiable instructions, from the ALLaM team. | |
KITAB PDF-to-Markdown (reviewed) | Misraj AI | 🇸🇦 SA | apache-2.0 | Corrected version of the KITAB-Bench PDF-to-Markdown subset for Arabic document OCR. | |
SILMA RAGQA Benchmark | SILMA AI | 🇸🇦 SA | apache-2.0 | Evaluates Arabic/English LMs in Extractive QA tasks | |
AraTruthfulQA | HUMAIN | 🇸🇦 SA | unknown | 287 culturally adapted TruthfulQA questions testing truthfulness on misconceptions common in the Arab world. | |
Arabic GSM8K | Omartificial-Intelligence-Space | 🇸🇦 SA | mit | Arabic translation of the GSM8K grade-school math word problems. | |
Arabic IFEval (Inception) | Inception AI (G42) | 🇦🇪 AE | cc-by-nc-4.0 | Arabic instruction-following evaluation set released by Inception. | |
IslamicFaithQA | QCRI | 🇶🇦 QA | apache-2.0 | Bilingual Arabic/English generative Islamic QA benchmark for faithfulness evaluation. | |
IEN-MCQ | HUMAIN | 🇸🇦 SA | unknown | About 10K Arabic school multiple-choice questions across subjects and grades from Saudi Ien platform. | |
ACVA | FreedomIntelligence | 🌍 INTL | apache-2.0 | Arabic Cultural Value Alignment (8000+ questions, 58 areas) | |
DziriEval | Algerian NLP | 🌍 INTL | mit | Evaluation set for Algerian Darja language models (Algeria). | |
LC-Eval | HUMAIN | 🇸🇦 SA | unknown | Bilingual Arabic-English long-context benchmark with contexts from 4K to over 128K tokens. | |
Mizan Iraqi Arabic Benchmark | Nawar Alseelawi | 🌍 INTL | cc-by-4.0 | Originally authored Iraqi Arabic LLM benchmark, pilot public dev set; Iraq. | |
ArabicCulturalQA | QCRI | 🇶🇦 QA | cc-by-nc-sa-4.0 | Cross-dialectal cultural QA benchmark with parallel MCQ and open-ended formats across MSA and dialects. | |
MasriSwitch-Bench | Tarek737 | 🇪🇬 EG | cc-by-4.0 | Benchmark for Egyptian Arabic / English code-switched speech recognition. | |
Jawaher | UBC-NLP | 🌍 INTL | unknown | Benchmark for LLM understanding and explanation of Arabic proverbs across dialects. | |
FiqhQA | MBZUAI | 🇦🇪 AE | mit | Islamic jurisprudence questions across madhabs testing LLM reliability and abstention. | |
Tarjama-25 | Misraj AI | 🇸🇦 SA | unknown | Bidirectional Arabic-English machine translation benchmark built to stress-test MT models. | |
ETEC | HUMAIN | 🇸🇦 SA | unknown | 1,887 Arabic multiple-choice questions from Saudi Education and Training Evaluation Commission exams. | |
Arabic Broad Benchmark (ABB) | SILMA AI | 🇸🇦 SA | apache-2.0 | Comprehensive evaluation tool for Arabic LLMs | |
EgyHellaSwag | UBC-NLP | 🌍 INTL | unknown | HellaSwag translated into Egyptian Arabic from UBC (Canada). | |
TerjamaBench | atlasia | 🇲🇦 MA | mit | Small human-curated English-Darija translation benchmark with cultural nuance. | |
3LM Code Arabic (EvalPlus) | TII (UAE) | 🇦🇪 AE | unknown | Arabic translations of HumanEval+ and MBPP+ from the 3LM benchmark suite. | |
AtlasOCRBench | atlasia | 🇲🇦 MA | unknown | Evaluation benchmark for Moroccan Darija OCR. | |
AraBench | ARBML | 🇸🇦 SA | unknown | Test sets of the AraBench dialectal Arabic to English machine translation benchmark. | |
Fanar-Sadiq Classifier Datasets | QCRI | 🇶🇦 QA | apache-2.0 | Bilingual query-classification datasets released with the Fanar-Sadiq Islamic multi-agent system. | |
ORCA | UBC-NLP | 🌍 INTL | unknown |
| Unified Arabic NLU leaderboard of 60 datasets across seven task clusters; the ARLUE successor. |
ALUE | Mawdoo3 | 🇯🇴 JO | unknown | Arabic Language Understanding Evaluation benchmark | |
Arabic Broad Leaderboard (ABL) | SILMA AI | 🇸🇦 SA | unknown | NextGen evaluation for Arabic LLMs by SILMA AI | |
AraDiCE | QCRI | 🇶🇦 QA | unknown | Benchmarks for dialectal and cultural capabilities of LLMs | |
BALSAM | King Salman Global Academy for Arabic Language | 🇸🇦 SA | unknown | Benchmark of Arabic Language AI Systems and Models | |
GATmath and GATLc | unknown | 🌍 INTL | unknown | Benchmarks from Saudi GAT exams | |
KITAB-Bench | MBZUAI | 🇦🇪 AE | unknown | Arabic OCR benchmark: 8,809 samples, 9 domains, 36 sub-domains (MBZUAI) | |
MTEB Arabic Leaderboard | MTEB | 🌍 INTL | unknown | Massive Text Embedding Benchmark for Arabic | |
NADI 2024 | UBC-NLP | 🌍 INTL | unknown | NADI 2024 - Fifth Nuanced Arabic Dialect Identification | |
NADI 2025 | UBC-NLP | 🌍 INTL | unknown | NADI 2025 - Multidialectal Arabic Speech Processing (8-way dialect + ASR) | |
NADI Shared Tasks | UBC-NLP | 🌍 INTL | unknown | NADI Shared Tasks - Ongoing series of Arabic DID shared tasks | |
Open Arabic LLM Leaderboard | OALL | 🌍 INTL | unknown | Evaluation of Arabic LLMs across multiple benchmarks | |
Open Universal Arabic ASR Leaderboard | Elm Research Center | 🇸🇦 SA | unknown | Multi-dialectal Arabic speech recognition benchmark |
Name | Country | Focus | Links |
King Saud University | 🇸🇦 SA | SaudiBERT, Saudi dialect corpora (STMC, SFC) | |
Ain Shams University | 🇪🇬 EG | Arabic NLP, sentiment analysis, NER research | |
Applied Innovation Center (AIC) | 🇪🇬 EG | Egyptian MCIT AI center; builds the Karnak LLM family and publishes models on Hugging Face (Applied-Innovation-Center). | |
Arabic.AI (Tarjama) | 🇦🇪 AE | Arabic-first autonomous AI - Pronoia Arabic LLM, Agentic AI platform | |
Arabot | 🇦🇪 AE | Conversational AI for Arabic - Arabic NLP chatbot engine | |
Aramco Digital | 🇸🇦 SA | Aramco digital arm, behind Metabrain generative AI assistant and AI partnerships. | |
ARBML | 🇸🇦 SA | Democratizing Arabic NLP - masader, klaam, tkseem | |
Astra Tech (Botim) | 🇦🇪 AE | Abu Dhabi tech group behind Botim, building AI assistant products. | |
AUB MIND Lab | 🇱🇧 LB | Foundational Arabic NLP models - AraBERT, AraGPT2, AraELECTRA | |
CAMeL Lab (NYU Abu Dhabi) | 🇦🇪 AE | CAMeLBERT, camel_tools, morphological analysis | |
CAMeL Lab, NYUAD | 🇦🇪 AE | Arabic NLP tools and models - CAMeLBERT, camel_tools | |
Cohere | 🌍 INTL | Multilingual LLMs - Command R Arabic, RAG optimization | |
Convertedin | 🇪🇬 EG | AI marketing automation - Arabic/English e-commerce personalization, $3M funded | |
Core42 | 🇦🇪 AE | G42 sovereign cloud and AI company; Compass AI platform and Jais deployment. | |
Crowd Analyzer | 🇪🇬 EG | Arabic social media monitoring - Arabic NLP analytics, sentiment analysis, media monitoring | |
DXwand | 🇪🇬 EG | Generative AI for Arabic business - ORXTRA platform, Arabic dialect chatbots, 20+ LLM support | |
Elm | 🇸🇦 SA | Digital transformation, gov AI (PIF-backed) - Nuha Arabic LLM, legal AI assistant, gov platform | |
Elves | 🇪🇬 EG | Conversational commerce - Arabic AI-assisted concierge, human-in-the-loop ML | |
FreedomIntelligence | 🌍 INTL | Arabic LLMs and alignment - AceGPT, Arabic cultural datasets | |
Future Look ITC (FLITC) | 🇸🇦 SA | Arabic-native AI solutions, venture studio - LABEAH, Smart Hire, Rayee Media, Nabadat | |
G42 | 🇦🇪 AE | AI holding company, Arabic LLMs - Jais LLM, enterprise AI solutions | |
G42 / Inception AI | 🇦🇪 AE | Arabic-centric LLMs - Jais LLM family | |
Hamad Bin Khalifa University | 🇶🇦 QA | Qatar university hosting QCRI; Arabic NLP, speech and Fanar research. | |
Hazen.ai | 🇸🇦 SA | AI traffic safety & computer vision - Deep learning road safety, seatbelt/phone detection | |
Helsinki-NLP | 🌍 INTL | Machine translation models - OPUS-MT Arabic translation models | |
Hudhud AI | 🇸🇦 SA | Arabic conversational AI (no-code SaaS) - Saudi-accent chatbots, Arabic-first customer engagement | |
HUMAIN | 🇸🇦 SA | PIF-backed full-stack AI company - ALLaM 34B, HUMAIN Chat, 8PB Arabic training data | |
HUMAIN (Saudi PIF) | 🇸🇦 SA | Full-stack AI company - ALLaM 34B, HUMAIN Chat, AI factories | |
iCompass | 🇹🇳 TN | Tunisian AI company; co-built TunBERT and a Tunisian dialect speech stack with InstaDeep. | |
Imam Mohammad ibn Saud Islamic University | 🇸🇦 SA | Riyadh university with Arabic NLP and computational linguistics research. | |
Inception AI | 🇦🇪 AE | Arabic-centric foundation models - Jais model family (with Cerebras) | |
InstaDeep | 🇹🇳 TN | Tunis-founded AI company; co-released TunBERT, the first Tunisian dialect language model. | |
Intella | 🇪🇬 EG | Arabic speech AI intelligence - Arabic STT across 25+ dialects (95.7% accuracy), Ziila digital human | |
ITIDA / MCIT | 🇪🇬 EG | National AI authority, sovereign models - Karnak LLM, SIA AI tutor, AcQua NLP, BelMasry, Torgoman | |
ITIDA / MCIT (Egypt) | 🇪🇬 EG | Egypt's national AI, sovereign models - Karnak LLM, BelMasry, Torgoman, SIA, AcQua | |
KAUST | 🇸🇦 SA | AI research, Arabic NLP - Center of Excellence in Generative AI | |
KAUST (CEMSE) | 🇸🇦 SA | Generative AI center, Arabic NLP research, sentiment analysis | |
KFUPM-JRCAI | 🇸🇦 SA | Joint SDAIA-KFUPM AI research - Arabic AI text detection datasets | |
Khalifa University | 🇦🇪 AE | Abu Dhabi university with NLP, speech and AI research. | |
Kngine | 🇪🇬 EG | Semantic search & NLP - Arabic semantic search, data mining, knowledge engine | |
LightOn AI | 🌍 INTL | Arabic web data - ArabicWeb24 corpus (39B+ tokens) | |
Lucidya | 🇸🇦 SA | AI customer experience analytics - Arabic social listening, sentiment analysis | |
Maqsam | 🇯🇴 JO | Arabic speech AI, call center AI - Arabic dialect STT, AI voice bots, surpasses Google/Microsoft | |
Mawdoo3 | 🇯🇴 JO | Arabic AI & content, NLP toolkit - Arabic LLMs, largest Arabic website, Saudi expansion | |
MBZUAI | 🇦🇪 AE | Multimodal and speech models - AIN, ArTST, ClArTTS | |
Misraj AI | 🇸🇦 SA | Arabic-first AI ecosystem - Kawn LLM, Baseer OCR, Mutarjim, Workforces, SeamlessAPI | |
Mistral AI | 🌍 INTL | Multilingual LLMs - Mistral Saba (Arabic-optimized) | |
Monta AI | 🇪🇬 EG | Enterprise AI solutions - LLM & RAG-based Arabic business automation | |
Mozn | 🇸🇦 SA | Enterprise AI, Arabic NLU - OSOS Arabic NLU platform, FOCAL compliance suite | |
NAMAA-Space | 🇸🇦 SA | Arabic NLP models & dialect hub - Qari-OCR, EgypTalk-ASR, Masrawy translator, GLiNER Arabic | |
Nile University | 🇪🇬 EG | AI research, M.Sc. in AI co-designed with MIT/IBM | |
Omartificial-Intelligence-Space | 🇸🇦 SA | Arabic embedding models - GATE, Matryoshka embeddings | |
Presight AI | 🇦🇪 AE | G42 big-data analytics firm; government AI products including Arabic NLP. | |
Prince Sultan University (RIOTU Lab) | 🇸🇦 SA | ArabianGPT, Arabic IoT/robotics AI | |
Prince Sultan University (RIOTU) | 🇸🇦 SA | Arabic language models - ArabianGPT, Arabic IoT AI | |
Qatar University | 🇶🇦 QA | Qatar University NLP group; bigIR lab released ArCOV-19 and Arabic QA resources. | |
QCRI | 🇶🇦 QA | Arabic LLMs, text processing - Fanar LLMs, AraDiCE, Farasa | |
Saal.ai | 🇦🇪 AE | Cognitive AI solutions - Arabic NLP, speech, generative AI | |
SambaNova Systems | 🌍 INTL | Arabic language adaptation - SambaLingo Arabic models | |
SDAIA | 🇸🇦 SA | Sovereign AI, national data authority - ALLaM model, SADA dataset, NCAI, BALSAM benchmark | |
SDAIA (Saudi Data & AI Authority) | 🇸🇦 SA | Sovereign Arabic LLM, national AI strategy - ALLaM model, SADA dataset, BALSAM benchmark | |
SDAIA-KFUPM Joint Research Center (JRCAI) | 🇸🇦 SA | Arabic AI text detection, Arabic NLP datasets | |
SI2M Lab | 🇲🇦 MA | Moroccan NLP lab behind DarijaBERT and its Arabizi variants. | |
SILMA AI | 🇸🇦 SA | State-of-the-art Arabic LLMs - SILMA LLMs, Arabic Broad Benchmark | |
SinaLab | 🌍 INTL | SinaTools, Wojood NER corpus | |
SinaLab, Birzeit University | 🌍 INTL | Arabic NLP tools and datasets - SinaTools, Wojood NER | |
stc Group | 🇸🇦 SA | Saudi telecom group with AI subsidiaries and Arabic chatbot products. | |
Sultan Qaboos University | 🇴🇲 OM | Omani university with Arabic NLP and AI research. | |
Synapse Analytics | 🇪🇬 EG | AI for financial inclusion - ML-powered credit scoring, Arabic data analytics | |
Technology Innovation Institute (TII) | 🇦🇪 AE | Open-source LLMs, research - Falcon LLM family | |
TII (Technology Innovation Institute) | 🇦🇪 AE | Arabic LLM benchmarks, Falcon - Open Arabic LLM Leaderboard, Falcon LLM | |
ToumAI | 🇲🇦 MA | Moroccan multilingual voice-agent company focused on dialect-aware voice AI. | |
UBC-NLP | 🌍 INTL | Dialectal Arabic, multimodal models - MARBERT, AraT5, NileChat, PEARL, Dallah | |
Unifonic | 🇸🇦 SA | Conversational AI platform - Arabic-first CX Intelligence, AI chatbots | |
United Arab Emirates University | 🇦🇪 AE | Al Ain university with Arabic NLP and AI research. | |
University of Bahrain | 🇧🇭 BH | Bahrain national university with Arabic NLP and AI research. | |
WideBot AI | 🇪🇬 EG | Arabic-first conversational AI - AQL Arabic LLM, chatbots, voicebots, AI agents | |
Wittify.ai | 🇸🇦 SA | Conversational AI for Arabic - Interactive Arabic AI agents |
Skills shipped in this repo:
Skill | What it does | Install |
arabic-ai-advisor | Use when choosing an Arabic LLM, ASR, TTS, OCR, embedding model, dataset or tool — recommends ranked options from the Arabic AI Atlas with licenses, dialect coverage and on-device fit. |
|
arabic-dialect-prompts | Use when writing system prompts or few-shot examples for an Arabic-speaking agent in a specific dialect, or when a model answers in formal Arabic (MSA) instead of the requested dialect. |
|
arabic-token-cost | Use when estimating or comparing how many tokens Arabic text costs across LLM tokenizers, or when Arabic prompts seem expensive, truncated or slow compared with English. |
|
rtl-bidi-lint | Use when reviewing or generating Arabic text, UI strings, HTML or Markdown that mixes RTL with LTR content, to catch digit mixing, unbalanced bidi isolates, stray LTR marks and hardcoded dir="ltr". |
|
tashkeel-check | Use when Arabic text may need diacritics (tashkeel) added or stripped, for TTS input, learner material, Quran or poetry, or when diacritization looks partial or inconsistent. |
|
Other Arabic agent skills in the wild:
Name | Org | Notes | Links |
ArabAgentSkills | ArabAgentSkills | Public source-backed Arab-world agent skills covering APIs, marketing, sales, support and localization. | |
ArabGuard | d12o6aa | Python SDK protecting LLMs and chatbots from prompt injection in Arabic text. | |
Arabic Content Studio | smeseik-ai | Claude Skills for Arabic content teams covering production, culture, SEO and brand voice. | |
Arabic Dict MCP | arnizamani | MCP server for grounded Arabic dictionary lookup wrapping arramooz (MSA verbs and nouns). | |
Arabic Scholar MCP Server | EngDawood | MCP server for searching Arabic academic research, articles and dissertations across sources. | |
Arabic Video Subtitles Skill | EngDawood | Skill with Netflix-style Arabic subtitling guidelines and an SRT/VTT checker. | |
Arabic Word Production Skill | Bannovich | Deterministic agent skill and plugin for Arabic-first and bilingual Word DOCX production. | |
arabic-bidi-engineering | MosaabGalmod | Agent skill for correct Arabic RTL/BiDi in chat, terminal and documents | |
arabic-pii-py | Aajil Labs | Local-first reversible PII tokenization for Arabic and Gulf data before it reaches an LLM. | |
ArabiMaak MCP | deepdiver4ai | Gulf Arabic language MCP server for word, phrase and cultural-context lookup. | |
awesome-arabic-claude-skills | EngDawood | Curated library of open-source Arabic skills for Claude Code and agents | |
Azan MCP | Ahmed Eltaher | Lightweight MCP library for Islamic prayer times and Qibla for AI agents; not Arabic-language specific. | |
Claude Adhkar | nosseralaa7-rgb | Shows Arabic-script adhkar in the Claude Code spinner with a terminal font that renders Arabic. | |
Claude Arabic Writing | Ahmed Dabak | Claude Agent Skill for natural, grammatically correct Arabic writing and translation. | |
Claude Code RTL Extension | yechielby | VS Code and Cursor extension adding RTL support for Hebrew and Arabic in Claude Code. | |
Claude Desktop RTL Patch (macOS) | toboly | Adds auto-detected Hebrew and Arabic RTL support to Claude Desktop on macOS. | |
Dorar Hadith MCP | ibnsaleem29 | Claude extension and MCP server for Hadith research including isnad and takhrij via Dorar. | |
Fanar MCP Server | danijeun | MCP server exposing Fanar API tools such as Islamic RAG and image generation. | |
Hadith MCP (ovehbe) | ovehbe | MCP server for searchable, citation-safe hadith text. | |
Hurmoz | Moshe-ship | Collection of 63 Arabic skills for the Hermes Agent framework. | |
Islamic Knowledge Skill | shadysalman | RAG-powered Claude skill over the Quran (6,236 ayat) and Sahih Bukhari. | |
karem-arabic-presentation | karem505 | Claude Code skill for Arabic/English bilingual RTL HTML presentations | |
Kazma | Mubder | Self-hosted agent platform, bilingual English and Arabic by design. | |
Kivun Terminal WSL | noambrand | Claude Code in WSL with Hebrew, Arabic and Persian rendered correctly. | |
MasrKit | asasemahmed | Open skills for coding agents to build products that feel Egyptian. | |
mcp.quran.ai Skills and Docs | Quran Foundation | Public skills, documentation and static assets for the hosted mcp.quran.ai Quran server. | |
Quran MCP Server (djalal) | djalal | MCP server wrapping the Quran.com API for verse search, translation and tafsir. | |
Quran Search Engine MCP | adelpro | MCP server giving AI clients fast, citation-grounded Quran search to reduce hallucinated verses. | |
quran-mcp | Quran.com | MCP server giving AI assistants grounded access to Quran text | |
rtl-skill | mhamedmohammed92-arch | Teaches coding agents to build correct RTL UIs with a checker | |
RTLify | idanlevi1 | RTL rules for Claude Code, Cursor, Copilot and other coding agents; covers Arabic and Hebrew. | |
Tafsir MCP | Tafsir Center | MCP server for the Quran with 5 classical tafsirs and word-level linguistic data. | |
turath-mcp | opin22 | MCP server for turath.io: classical Arabic and Islamic books | |
Video Caption MCP | EngDawood | MCP server and skill that burns Arabic or translated captions into videos. | |
Wasl | Moshe-ship | Arabic MCP server bundling prayer times, Quran, Hadith, translation and dialect tools. |
Edit the YAML in data/.
Run uv run python scripts/build.py build (it uses the committed Hugging Face cache; the nightly job refreshes metrics).
Open a PR.
CI rejects hand edits to README.md, assets/ and dist/.
Code: MIT. Data: CC BY 4.0.
Awesome Arabic NLP, the curated reading list this atlas grew alongside.
Generated 2026-10-04 from 726 entries. Do not edit README.md by hand.
Fetch one full Arabic AI Atlas entry by its id (e.g. "jais-30b"), including links and metrics.
Returns {"error": "unknown id", "id": ...} when no entry has that id. Use search to find ids.
Example: get(id="jais-30b")
| Name | Required | Description | Default |
|---|---|---|---|
| id | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full behavioral burden. It discloses the rich returned payload ('links and metrics') and the exact error shape ({"error": "unknown id", "id": ...}) for missing ids, but does not mention auth requirements, rate limits, or read-only nature explicitly.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Three tight sentences: purpose, error behavior, and routing, followed by a short example. Front-loaded with the core capability and zero filler.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a single-param read tool with no output schema or annotations, the description supplies purpose, error semantics, sibling routing, and an example. It stops short of defining auth or rate-limit expectations, but it is sufficient to call the tool correctly.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 0% and the sole parameter `id` is undocumented in the schema; the description compensates by specifying the id format and giving a concrete example ('jais-30b'). Baseline for a one-param tool is 4, and the example lifts it, though no further constraints (length, allowed charset) are given.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb (fetch) and resource (one full Arabic AI Atlas entry) with scope ('by its id'). Names a concrete id example ('jais-30b'), making the tool's domain unambiguous against the sibling tools search and recommend.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Explicitly routes the agent to `search` to find ids, which is a clear alternative-tool pointer. It lacks an explicit when-not statement (e.g., 'do not use for listing or bulk retrieval'), but the conditional routing is strong.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Recommend entries from the Arabic AI Atlas for a task, ranked with an explanation.
Score = 3 if the task is in the entry's tasks, +2 if the dialect matches, +1 if the task
word appears in its notes; zero-score entries are dropped. Each result carries score
and why. Ties go to models (llm, asr, tts, ocr, embedding) over datasets, benchmarks,
tools and orgs, then to downloads.
task: e.g. chat, tts, asr, ocr, embedding, translation. dialect: msa, egy, gulf, lev, magh, iraqi, sudanese, yemeni, classical, mixed (optional; entries lacking dialect data still match on task). on_device: true keeps only entries marked on-device (phone or laptop CPU); false drops those; omit for no filter. license_filter: "open" excludes proprietary/unknown licenses; any other string must equal the license exactly (optional). type: exact entry type, e.g. "tts" to get models only, "dataset" for training data (optional).
Example: recommend(task="tts", type="tts", on_device=true, license_filter="open")
| Name | Required | Description | Default |
|---|---|---|---|
| task | Yes | ||
| type | No | ||
| limit | No | ||
| dialect | No | ||
| on_device | No | ||
| license_filter | No |
| Name | Required | Description |
|---|---|---|
| result | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations present, the description carries the full burden and does so well: it discloses the exact scoring algorithm, that zero-score entries are dropped, the tie-break preference order (models over datasets/benchmarks/tools/orgs, then downloads), and that results carry `score` and `why`. This is unusually rich behavioral disclosure for a tool with zero annotation coverage.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Front-loaded with the purpose and scoring rule, then grouped parameter notes, then a concrete example. The scoring and tie-break sentences earn their place, though the parameter list is a bit dense and could be tightened.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a 6-parameter filtering+ranking tool with an output schema, the description covers the ranking logic, filter semantics, and return fields (`score`, `why`), so an agent has almost everything needed. The undocumented `limit` default of 3 is the one remaining gap.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must compensate, and it documents five of six parameters with real semantic detail (allowed dialect values, the three-state on_device semantics, license_filter exact-match behavior, type as an exact entry type). It omits the `limit` parameter entirely, leaving one gap.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb and resource ('Recommend entries from the Arabic AI Atlas') plus the ranking behavior, which is enough to separate it from the sibling tools search and get, which are lookup tools. An agent can tell this is a ranked-recommendation tool without opening the schema.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives concrete guidance on how to drive the tool: the scoring formula (task +3, dialect +2, notes +1), tie-breaking rules, and per-parameter usage including a worked example. It does not explicitly state when to prefer this over the siblings search/get, so it falls short of full when/when-not routing.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Search the Arabic AI Atlas, a curated catalogue of Arabic models, datasets, benchmarks, tools and organizations with Hugging Face download metrics.
Case-insensitive substring match over name, org, notes, tasks and tags; the optional type/country/modality filters are exact. Results are ordered by downloads, most first.
Valid values: type: llm, asr, tts, ocr, embedding, dataset, benchmark, tool, agent-skill, org country: SA, AE, EG, QA, MA, JO, TN, LB, KW, OM, BH, INTL modality: text, speech, vision, multimodal, none
Example: search(query="speech", type="asr", limit=5)
| Name | Required | Description | Default |
|---|---|---|---|
| type | No | ||
| limit | No | ||
| query | Yes | ||
| country | No | ||
| modality | No |
| Name | Required | Description |
|---|---|---|
| result | Yes |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden and does well: it discloses match semantics (case-insensitive substring on name/org/notes/tasks/tags), that type/country/modality are exact filters, and the result ordering (downloads, most first). It omits any note on auth, rate limits, or what 'limit' can/cannot do, which keeps it below 5.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Front-loads the purpose, then match/ordering semantics, then the enum reference block, then a concrete example. Every sentence adds information an agent needs; nothing is boilerplate.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
An output schema exists, so return-value explanation is correctly omitted, and the description covers filtering, matching and ordering. The only gap is pagination/limit behavior, which is minor for a catalogue search but not nothing.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must compensate and largely does: it explains that 'query' is a substring match over specific fields, names the three filter params as exact matches, and enumerates every valid value for type, country and modality. Only 'limit' is left without explicit semantics (default 10 is visible in the schema but no max/behavior note).
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb (search) and resource (Arabic AI Atlas catalogue), and enumerates the entity kinds indexed (models, datasets, benchmarks, tools, organizations). Clear what it does, but it never explicitly distinguishes itself from the sibling tools 'recommend' and 'get'.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Usage is implied by the match semantics and the worked example, but there is no explicit when-to-use / when-not-to-use guidance and no mention of when to prefer 'recommend' or 'get' instead. An agent can infer the use case but must do the routing itself.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
v0.1.0getrecommendsearchScored across 3 tools
The three tools have clearly distinct purposes: `search` does substring matching with exact filters, `recommend` does task/dialect ranked scoring with explanations, and `get` fetches a single entry by id. The descriptions even cross-reference each other (get says 'use search to find ids'), leaving no realistic selection ambiguity.
All three names are single lowercase verbs (search, recommend, get) in a uniform style with no mixing of conventions. The pattern is predictable and readable.
Three tools is on the thin side, but for a read-only catalogue the discovery/ranking/retrieval split earns each tool's place. Nothing redundant or missing at the surface level.
The read-only domain is well covered: broad search with filters, semantic-ish task recommendations, and full-detail retrieval. Minor gaps exist (no way to list all entries, browse by organization, or enumerate valid filter values beyond the examples), but agents can work around these via search.
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