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pith:BLVYHSOV

pith:2026:BLVYHSOV42OOTIVVU4GXB2FGD4
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IslamicMMLU: A Benchmark for Evaluating LLMs on Islamic Knowledge

Ali Abdelaal, Mahmoud Fawzi, Mohammed Nader Al Haffar, Walid Magdy

IslamicMMLU introduces a benchmark of 10,013 questions to test LLMs on Quran, Hadith, and Fiqh.

arxiv:2603.23750 v3 · 2026-03-24 · cs.CL

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Claims

C1strongest claim

We introduce IslamicMMLU, a benchmark of 10,013 multiple-choice questions spanning three tracks: Quran (2,013 questions), Hadith (4,000 questions), and Fiqh (4,000 questions).

C2weakest assumption

The questions accurately and representatively capture core Islamic knowledge without introducing selection bias or factual errors in their creation and translation.

C3one line summary

IslamicMMLU is a new benchmark with 10,013 questions across Quran, Hadith, and Fiqh tracks that measures LLM accuracy on Islamic topics, with top models at 93.8% and notable variation by track and model type.

Receipt and verification
First computed 2026-07-14T01:20:57.363641Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

0aeb83c9d5e69ce9a2b5a70d70e8a61f3f92cabbf041828e03a24b47e61424da

Aliases

arxiv: 2603.23750 · arxiv_version: 2603.23750v3 · doi: 10.48550/arxiv.2603.23750 · pith_short_12: BLVYHSOV42OO · pith_short_16: BLVYHSOV42OOTIVV · pith_short_8: BLVYHSOV
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/BLVYHSOV42OOTIVVU4GXB2FGD4 \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 0aeb83c9d5e69ce9a2b5a70d70e8a61f3f92cabbf041828e03a24b47e61424da
Canonical record JSON
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    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CL",
    "submitted_at": "2026-03-24T22:18:16Z",
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