| { |
| "version": "0.13.1", |
| "generatedAt": "2026-08-16T08:30:47.301Z", |
| "schema": "PERSIAN-LLM-REFERENCE/v1", |
| "meta": { |
| "scope": "global", |
| "maintainer": "Persian LLM Reference maintainers", |
| "canonicalRepo": "https://github.com/sinakazemnezhad/persian-llm-reference", |
| "canonicalSite": "https://sinakazemnezhad.github.io/persian-llm-reference", |
| "supersedes": "complements discovery lists and leaderboards with typed, verified records", |
| "coverage": [ |
| "models", |
| "datasets", |
| "benchmarks", |
| "leaderboards", |
| "community-indexes", |
| "research-programs" |
| ], |
| "citations": [ |
| { |
| "type": "upstream-discovery", |
| "title": "Awesome-Persian-LLM", |
| "url": "https://github.com/MohammadHeydari/Awesome-Persian-LLM", |
| "maintainer": "Awesome-Persian-LLM maintainers", |
| "note": { |
| "en": "Community discovery index — bibliographic credit for many PLR rows; complements, does not replace.", |
| "fa": "فهرست کشف جامعه. اعتبار کتابشناختی برای بسیاری از ردیفهای PLR؛ مکمل، نه جایگزین." |
| } |
| }, |
| { |
| "type": "leaderboard", |
| "title": "MIZAN LLM Leaderboard", |
| "url": "https://huggingface.co/spaces/MCINext/mizan-llm-leaderboard", |
| "maintainer": "MCINext", |
| "note": { |
| "en": "Persian LLM alignment and benchmark scores — PLR links scores, does not mirror live tables.", |
| "fa": "جدول همراستایی و معیار مدلهای فارسی. PLR لینک میدهد، جدول زنده را کپی نمیکند." |
| } |
| }, |
| { |
| "type": "leaderboard", |
| "title": "Open Persian LLM Leaderboard (PartAI)", |
| "url": "https://huggingface.co/spaces/PartAI/open-persian-llm-leaderboard", |
| "maintainer": "PartAI", |
| "note": { |
| "en": "Public Persian instruct model rankings under 10B and beyond.", |
| "fa": "رتبهبندی عمومی مدلهای دستوری فارسی زیر ۱۰ میلیارد و بیشتر." |
| } |
| }, |
| { |
| "type": "leaderboard", |
| "title": "Matina Persian LLM Leaderboard", |
| "url": "https://huggingface.co/spaces/MatinaAI/persian_llm_leaderboard", |
| "maintainer": "MatinaAI", |
| "note": { |
| "en": "Persian LLM evaluation space from Matina corpus authors.", |
| "fa": "فضای ارزیابی مدل فارسی از نویسندگان پیکرهٔ ماتینا." |
| } |
| }, |
| { |
| "type": "benchmark", |
| "title": "PersianMedQA", |
| "url": "https://arxiv.org/abs/2506.00250", |
| "maintainer": "University of Tehran · SBUMS", |
| "note": { |
| "en": "Primary measured-score receipt for 20+ model rows — bilingual medical QA from Iranian national exams.", |
| "fa": "مدرک اصلی نمرهٔ مستند برای ۲۰+ مدل. پرسشوپاسخ پزشکی دوزبانه از آزمونهای ملی ایران." |
| }, |
| "extra": "https://mohammadjranjbar.github.io/PersianMedQA/" |
| }, |
| { |
| "type": "dataset-index", |
| "title": "Hugging Face — Persian models & datasets", |
| "url": "https://huggingface.co/models?language=fa", |
| "maintainer": "Hugging Face community", |
| "note": { |
| "en": "Hosting layer for weights and cards — PLR adds taxonomy and verification gates on top.", |
| "fa": "لایهٔ میزبانی وزنها و کارتها. PLR طبقهبندی و دروازهٔ تأیید را اضافه میکند." |
| } |
| } |
| ] |
| }, |
| "mission": { |
| "en": "A structured, receipt-gated open registry for Persian (Farsi) language models — alongside discovery lists and leaderboards, with sourced records and honest nulls.", |
| "fa": "مرجع باز و قابلاستناد برای مدلهای زبانی فارسی. در کنار فهرستهای کشف و جدولهای امتیاز، با رکوردهای منبعدار و جای خالی صادقانه." |
| }, |
| "taxonomy": { |
| "classes": [ |
| "native-foundation", |
| "adapted-instruct", |
| "multilingual-frontier", |
| "encoder-only", |
| "dataset", |
| "leaderboard", |
| "community-index", |
| "program" |
| ], |
| "axes": [ |
| "scriptFidelity", |
| "corpusLaw", |
| "curriculumFit", |
| "literaryDepth", |
| "nativePreference" |
| ] |
| }, |
| "entries": [ |
| { |
| "id": "persianmind-v1", |
| "kind": "model", |
| "class": "adapted-instruct", |
| "name": { |
| "en": "PersianMind v1.0", |
| "fa": "پرشینمایند نسخه ۱" |
| }, |
| "org": "University of Tehran", |
| "sizeB": 13.7, |
| "license": "CC-BY-NC-SA-4.0", |
| "status": "measured", |
| "summary": { |
| "en": "Cross-lingual Persian–English LLM; strong on Belebele Persian and ParsiNLU.", |
| "fa": "مدل دوزبانهٔ فارسی–انگلیسی؛ قوی در بنچمارکهای پرشین و پارسیانالیو." |
| }, |
| "links": { |
| "hf": "https://huggingface.co/universitytehran/PersianMind-v1.0", |
| "paper": "https://arxiv.org/abs/2401.06466" |
| }, |
| "origin": { |
| "base": "LLaMA-class", |
| "persianTraining": "cross-lingual-adaptation" |
| }, |
| "script": { |
| "rtl": true, |
| "zwnj": "partial", |
| "morphology": "partial" |
| }, |
| "corpus": { |
| "class": "mixed-instruction", |
| "licensedBooks": false |
| }, |
| "benchmarks": [ |
| { |
| "name": "Belebele (Persian)", |
| "score": "73.9", |
| "asOf": "2024-01", |
| "receipt": "paper", |
| "url": "https://arxiv.org/abs/2401.06466", |
| "benchmark": "Belebele", |
| "metric": "accuracy", |
| "value": "73.9", |
| "unit": "percent", |
| "language": "fa", |
| "conditions": "zero-shot, Persian (Fas), Belebele benchmark, arxiv:2401.06466", |
| "source": "https://arxiv.org/abs/2401.06466", |
| "publication": "https://arxiv.org/abs/2401.06466" |
| }, |
| { |
| "name": "PersianMedQA (Persian)", |
| "score": "24.22", |
| "asOf": "2025-06", |
| "receipt": "paper", |
| "url": "https://arxiv.org/abs/2506.00250", |
| "benchmark": "PersianMedQA", |
| "metric": "accuracy", |
| "value": "24.22", |
| "unit": "percent", |
| "language": "fa", |
| "conditions": "zero-shot MCQ, Persian split (Fa), Table 4, arxiv:2506.00250", |
| "source": "https://arxiv.org/abs/2506.00250", |
| "publication": "https://arxiv.org/abs/2506.00250" |
| } |
| ], |
| "alefbaAxes": { |
| "scriptFidelity": 2, |
| "corpusLaw": 1, |
| "curriculumFit": 1, |
| "literaryDepth": 2, |
| "nativePreference": null |
| }, |
| "verifiedAt": "2026-08-12", |
| "firstSeen": "2024-01", |
| "gapTags": [ |
| "instruct-stack", |
| "instruction-data", |
| "measured-evidence", |
| "medical-eval", |
| "open-weights" |
| ] |
| }, |
| { |
| "id": "dorna-llama3-8b", |
| "kind": "model", |
| "class": "adapted-instruct", |
| "name": { |
| "en": "Dorna-Llama3-8B-Instruct", |
| "fa": "درنا، لاما۳ ۸بی" |
| }, |
| "org": "PartAI", |
| "sizeB": 8, |
| "license": "Llama-3-community", |
| "status": "verified", |
| "summary": { |
| "en": "Widely used Persian instruct model; strong results on public Persian leaderboards under 10B.", |
| "fa": "مدل دستوری فارسی پرکاربرد؛ نتایج قوی در جدولهای عمومی فارسی زیر ۱۰ میلیارد پارامتر." |
| }, |
| "links": { |
| "hf": "https://huggingface.co/PartAI/Dorna-Llama3-8B-Instruct-GGUF", |
| "ollama": "https://ollama.com/partai/dorna-llama3", |
| "leaderboard": "https://huggingface.co/spaces/PartAI/open-persian-llm-leaderboard" |
| }, |
| "origin": { |
| "base": "Llama-3-8B-Instruct", |
| "persianTraining": "continued-pretrain+SFT" |
| }, |
| "script": { |
| "rtl": true, |
| "zwnj": "partial", |
| "morphology": "partial" |
| }, |
| "corpus": { |
| "class": "mixed-open+instruction", |
| "licensedBooks": false |
| }, |
| "benchmarks": [ |
| { |
| "name": "Open Persian LLM Leaderboard", |
| "score": null, |
| "asOf": null, |
| "receipt": "leaderboard-live", |
| "url": "https://huggingface.co/spaces/PartAI/open-persian-llm-leaderboard" |
| } |
| ], |
| "alefbaAxes": { |
| "scriptFidelity": 2, |
| "corpusLaw": 1, |
| "curriculumFit": 1, |
| "literaryDepth": 1, |
| "nativePreference": null |
| }, |
| "verifiedAt": "2026-08-12", |
| "firstSeen": "2024-06", |
| "gapTags": [ |
| "instruct-stack", |
| "instruction-data", |
| "open-weights", |
| "small-model" |
| ], |
| "notes": "PersianMedQA paper evaluates Dorna2-LLaMA-3.1-8B separately (see dorna2-llama31-8b). Leaderboard link is live-receipt only." |
| }, |
| { |
| "id": "maral-7b", |
| "kind": "model", |
| "class": "adapted-instruct", |
| "name": { |
| "en": "Maral-7B", |
| "fa": "مارال ۷بی" |
| }, |
| "org": "MaralGPT", |
| "sizeB": 7, |
| "license": "MIT", |
| "status": "verified", |
| "summary": { |
| "en": "Early open Persian chat model in the Maral family.", |
| "fa": "از نخستین مدلهای گفتگوی فارسی باز در خانوادهٔ مارال." |
| }, |
| "links": { |
| "hf": "https://huggingface.co/MaralGPT/Maral-7B-alpha-1" |
| }, |
| "origin": { |
| "base": "Mistral-7B-v0.1", |
| "persianTraining": "SFT" |
| }, |
| "script": { |
| "rtl": true, |
| "zwnj": "unknown", |
| "morphology": "unknown" |
| }, |
| "corpus": { |
| "class": "unknown", |
| "licensedBooks": false |
| }, |
| "benchmarks": [], |
| "alefbaAxes": { |
| "scriptFidelity": null, |
| "corpusLaw": null, |
| "curriculumFit": null, |
| "literaryDepth": null, |
| "nativePreference": null |
| }, |
| "verifiedAt": "2026-08-13", |
| "firstSeen": "2023-06", |
| "gapTags": [ |
| "instruct-stack", |
| "instruction-data", |
| "open-weights", |
| "small-model" |
| ] |
| }, |
| { |
| "id": "persian-phi", |
| "kind": "model", |
| "class": "adapted-instruct", |
| "name": { |
| "en": "Persian-Phi", |
| "fa": "پرشینفی" |
| }, |
| "org": "Research", |
| "sizeB": 3.8, |
| "license": "Apache-2.0", |
| "status": "verified", |
| "summary": { |
| "en": "Compact cross-lingual adaptation via curriculum learning on small base.", |
| "fa": "سازگاری فشردهٔ دوزبانه با یادگیری برنامهای روی پایهٔ کوچک." |
| }, |
| "links": { |
| "paper": "https://arxiv.org/abs/2512.07454", |
| "hf": "https://huggingface.co/amirakhlaghiqqq/PersianPhi" |
| }, |
| "origin": { |
| "base": "Phi-3-mini-4k-instruct", |
| "persianTraining": "SFT" |
| }, |
| "script": { |
| "rtl": true, |
| "zwnj": "unknown", |
| "morphology": "unknown" |
| }, |
| "corpus": { |
| "class": "instruction", |
| "licensedBooks": false |
| }, |
| "benchmarks": [], |
| "alefbaAxes": { |
| "scriptFidelity": null, |
| "corpusLaw": 1, |
| "curriculumFit": 2, |
| "literaryDepth": null, |
| "nativePreference": null |
| }, |
| "verifiedAt": "2026-08-13", |
| "gapTags": [ |
| "instruct-stack", |
| "instruction-data", |
| "open-weights", |
| "small-model" |
| ] |
| }, |
| { |
| "id": "yasin-persian-base", |
| "kind": "model", |
| "class": "native-foundation", |
| "name": { |
| "en": "YASIN-Persian-Base", |
| "fa": "یاسین، پایهٔ فارسی" |
| }, |
| "org": "ysn-rfd", |
| "sizeB": 0.15, |
| "license": "YRSL-restricted", |
| "status": "verified", |
| "summary": { |
| "en": "Claims from-scratch Persian decoder; verify architecture and eval independently.", |
| "fa": "ادعای معماری فارسی از صفر — نیاز به تأیید مستقل معماری و ارزیابی." |
| }, |
| "links": { |
| "hf": "https://huggingface.co/ysn-rfd/YASIN-Persian-Base" |
| }, |
| "origin": { |
| "base": "claimed-native", |
| "persianTraining": "from-scratch-claimed" |
| }, |
| "script": { |
| "rtl": true, |
| "zwnj": "claimed", |
| "morphology": "claimed" |
| }, |
| "corpus": { |
| "class": "Persian-QA-conversations", |
| "licensedBooks": false |
| }, |
| "benchmarks": [], |
| "alefbaAxes": { |
| "scriptFidelity": 3, |
| "corpusLaw": 1, |
| "curriculumFit": 1, |
| "literaryDepth": 1, |
| "nativePreference": null |
| }, |
| "verifiedAt": "2026-08-13", |
| "notes": "Small custom decoder (~152M params); YRSL v1.0 restricted license — not frontier native-foundation scale.", |
| "gapTags": [ |
| "native-foundation" |
| ] |
| }, |
| { |
| "id": "ava-llama3-v2", |
| "kind": "model", |
| "class": "adapted-instruct", |
| "name": { |
| "en": "AVA-Llama-3-V2", |
| "fa": "آوا، لاما۳ نسخه ۲" |
| }, |
| "org": "Community", |
| "sizeB": 8, |
| "license": "MIT", |
| "status": "verified", |
| "summary": { |
| "en": "Community Persian instruct fine-tune on Llama 3.", |
| "fa": "تنظیمدقیق دستوری فارسی جامعه روی لاما ۳." |
| }, |
| "links": { |
| "hf": "https://huggingface.co/MehdiHosseiniMoghadam/AVA-Llama-3-V2" |
| }, |
| "origin": { |
| "base": "Llama-3-8B", |
| "persianTraining": "fine-tune" |
| }, |
| "script": { |
| "rtl": true, |
| "zwnj": "unknown", |
| "morphology": "unknown" |
| }, |
| "corpus": { |
| "class": "instruction", |
| "licensedBooks": false |
| }, |
| "benchmarks": [], |
| "alefbaAxes": { |
| "scriptFidelity": null, |
| "corpusLaw": 1, |
| "curriculumFit": null, |
| "literaryDepth": null, |
| "nativePreference": null |
| }, |
| "verifiedAt": "2026-08-13", |
| "gapTags": [ |
| "instruct-stack", |
| "instruction-data", |
| "open-weights", |
| "small-model" |
| ] |
| }, |
| { |
| "id": "persian-llama-7b", |
| "kind": "model", |
| "class": "adapted-instruct", |
| "name": { |
| "en": "persian_llama_7b", |
| "fa": "لامای فارسی ۷بی" |
| }, |
| "org": "Community", |
| "sizeB": 7, |
| "license": "Llama-2-community", |
| "status": "verified", |
| "summary": { |
| "en": "Early LLaMA adapter for Persian generation.", |
| "fa": "از آداپترهای نخستین لاما برای تولید فارسی." |
| }, |
| "links": { |
| "hf": "https://huggingface.co/mostafaamiri/persian_llama_7b" |
| }, |
| "origin": { |
| "base": "Llama-2-7B", |
| "persianTraining": "LoRA-SFT" |
| }, |
| "script": { |
| "rtl": true, |
| "zwnj": "unknown", |
| "morphology": "unknown" |
| }, |
| "corpus": { |
| "class": "unknown", |
| "licensedBooks": false |
| }, |
| "benchmarks": [], |
| "alefbaAxes": { |
| "scriptFidelity": null, |
| "corpusLaw": null, |
| "curriculumFit": null, |
| "literaryDepth": null, |
| "nativePreference": null |
| }, |
| "verifiedAt": "2026-08-13", |
| "gapTags": [ |
| "instruct-stack", |
| "instruction-data", |
| "open-weights", |
| "small-model" |
| ] |
| }, |
| { |
| "id": "qwen25-7b-instruct", |
| "kind": "model", |
| "class": "multilingual-frontier", |
| "name": { |
| "en": "Qwen2.5-7B-Instruct", |
| "fa": "کوئن ۲٫۵، ۷بی دستوری" |
| }, |
| "org": "Alibaba", |
| "sizeB": 7, |
| "license": "Apache-2.0", |
| "status": "measured", |
| "summary": { |
| "en": "Strong multilingual instruct; Persian supported but not Persian-first world.", |
| "fa": "دستوری چندزبانهٔ قوی؛ فارسی پشتیبانی میشود اما جهان اول فارسی نیست." |
| }, |
| "links": { |
| "hf": "https://huggingface.co/Qwen/Qwen2.5-7B-Instruct" |
| }, |
| "origin": { |
| "base": "Qwen2.5", |
| "persianTraining": "multilingual-pretrain" |
| }, |
| "script": { |
| "rtl": true, |
| "zwnj": "partial", |
| "morphology": "partial" |
| }, |
| "corpus": { |
| "class": "multilingual-mix", |
| "licensedBooks": false |
| }, |
| "benchmarks": [ |
| { |
| "name": "PersianMedQA (Persian)", |
| "score": "39.99", |
| "asOf": "2025-06", |
| "receipt": "paper", |
| "url": "https://arxiv.org/abs/2506.00250", |
| "benchmark": "PersianMedQA", |
| "metric": "accuracy", |
| "value": "39.99", |
| "unit": "percent", |
| "language": "fa", |
| "conditions": "zero-shot MCQ, Persian split (Fa), Table 4, arxiv:2506.00250", |
| "source": "https://arxiv.org/abs/2506.00250", |
| "publication": "https://arxiv.org/abs/2506.00250" |
| } |
| ], |
| "alefbaAxes": { |
| "scriptFidelity": 2, |
| "corpusLaw": 0, |
| "curriculumFit": 0, |
| "literaryDepth": 1, |
| "nativePreference": 0 |
| }, |
| "verifiedAt": "2026-08-12", |
| "firstSeen": "2024-09", |
| "gapTags": [ |
| "instruction-data", |
| "measured-evidence", |
| "medical-eval", |
| "open-weights", |
| "small-model" |
| ] |
| }, |
| { |
| "id": "gpt-4-class", |
| "kind": "model", |
| "class": "multilingual-frontier", |
| "name": { |
| "en": "GPT-4 class (proprietary)", |
| "fa": "ردهٔ جیپیتی‑۴ (اختصاصی)" |
| }, |
| "org": "OpenAI", |
| "sizeB": null, |
| "license": "proprietary", |
| "status": "verified", |
| "summary": { |
| "en": "Frontier closed model; Persian capable but English-born — second-class script risk.", |
| "fa": "مدل مرزی بسته؛ فارسی بلد است اما انگلیسیزاده — خط درجهٔ دوم." |
| }, |
| "links": { |
| "web": "https://platform.openai.com/docs" |
| }, |
| "origin": { |
| "base": "proprietary", |
| "persianTraining": "multilingual-mix" |
| }, |
| "script": { |
| "rtl": true, |
| "zwnj": "partial", |
| "morphology": "weak" |
| }, |
| "corpus": { |
| "class": "proprietary", |
| "licensedBooks": false |
| }, |
| "benchmarks": [], |
| "alefbaAxes": { |
| "scriptFidelity": 2, |
| "corpusLaw": 0, |
| "curriculumFit": 0, |
| "literaryDepth": 2, |
| "nativePreference": 0 |
| }, |
| "verifiedAt": "2026-08-13", |
| "notes": "Legacy GPT-4 class row; see gpt-41-class for PersianMedQA measured receipt.", |
| "gapTags": [ |
| "cataloged" |
| ] |
| }, |
| { |
| "id": "parsbert", |
| "kind": "model", |
| "class": "encoder-only", |
| "name": { |
| "en": "ParsBERT", |
| "fa": "پارسبرت" |
| }, |
| "org": "Hooshvare", |
| "sizeB": null, |
| "license": "open", |
| "status": "verified", |
| "summary": { |
| "en": "Persian BERT encoder — classification/NER, not open-ended LLM generation.", |
| "fa": "رمزگذار برت فارسی — طبقهبندی و NER، نه تولید متن باز." |
| }, |
| "links": { |
| "paper": "https://arxiv.org/abs/2005.12515" |
| }, |
| "origin": { |
| "base": "BERT", |
| "persianTraining": "Persian-MLM" |
| }, |
| "script": { |
| "rtl": true, |
| "zwnj": "good", |
| "morphology": "good" |
| }, |
| "corpus": { |
| "class": "Persian-web-corpus", |
| "licensedBooks": false |
| }, |
| "benchmarks": [], |
| "alefbaAxes": { |
| "scriptFidelity": 3, |
| "corpusLaw": 1, |
| "curriculumFit": 0, |
| "literaryDepth": 0, |
| "nativePreference": null |
| }, |
| "verifiedAt": "2026-08-12", |
| "firstSeen": "2020-05", |
| "gapTags": [ |
| "encoder-stack", |
| "open-weights" |
| ] |
| }, |
| { |
| "id": "matina-corpus", |
| "kind": "dataset", |
| "class": "dataset", |
| "name": { |
| "en": "Matina corpus", |
| "fa": "پیکرهٔ ماتینا" |
| }, |
| "org": "Research", |
| "sizeB": null, |
| "license": "CC-BY-NC-ND-4.0", |
| "status": "verified", |
| "summary": { |
| "en": "~73B-token Persian text corpus for pretraining research.", |
| "fa": "مجموعهدادهٔ فارسی — پیکرهٔ متنی فارسی حدود ۷۳ میلیارد توکن برای پژوهش پیشآموزش." |
| }, |
| "links": { |
| "paper": "https://arxiv.org/html/2502.09188v1", |
| "hf": "https://huggingface.co/datasets/MatinaAI/matina_persian_text_corpus" |
| }, |
| "origin": { |
| "base": null, |
| "persianTraining": "corpus" |
| }, |
| "script": { |
| "rtl": true, |
| "zwnj": "varies", |
| "morphology": "varies" |
| }, |
| "corpus": { |
| "class": "curated-persian-text", |
| "licensedBooks": false, |
| "tokensB": 73 |
| }, |
| "benchmarks": [], |
| "alefbaAxes": { |
| "scriptFidelity": null, |
| "corpusLaw": 1, |
| "curriculumFit": 0, |
| "literaryDepth": 1, |
| "nativePreference": null |
| }, |
| "verifiedAt": "2026-08-13", |
| "gapTags": [ |
| "instruction-data" |
| ] |
| }, |
| { |
| "id": "mizan-leaderboard", |
| "kind": "leaderboard", |
| "class": "leaderboard", |
| "name": { |
| "en": "MIZAN Leaderboard", |
| "fa": "جدول میزان" |
| }, |
| "org": "MCINext", |
| "sizeB": null, |
| "license": "open", |
| "status": "verified", |
| "summary": { |
| "en": "Persian LLM benchmark aggregation — cite scores with as-of date.", |
| "fa": "تجمیع بنچمارک مدلهای فارسی — نمره را با تاریخ ذکر کنید." |
| }, |
| "links": { |
| "web": "https://huggingface.co/spaces/MCINext/mizan-llm-leaderboard" |
| }, |
| "origin": { |
| "base": null, |
| "persianTraining": null |
| }, |
| "script": { |
| "rtl": true, |
| "zwnj": null, |
| "morphology": null |
| }, |
| "corpus": { |
| "class": null, |
| "licensedBooks": null |
| }, |
| "benchmarks": [], |
| "alefbaAxes": { |
| "scriptFidelity": null, |
| "corpusLaw": null, |
| "curriculumFit": null, |
| "literaryDepth": null, |
| "nativePreference": null |
| }, |
| "verifiedAt": "2026-08-13", |
| "gapTags": [ |
| "public-benchmark" |
| ] |
| }, |
| { |
| "id": "open-persian-llm-leaderboard", |
| "kind": "leaderboard", |
| "class": "leaderboard", |
| "name": { |
| "en": "Open Persian LLM Leaderboard", |
| "fa": "جدول باز مدلهای فارسی" |
| }, |
| "org": "PartAI · AUT NLP Lab", |
| "sizeB": null, |
| "license": "open", |
| "status": "verified", |
| "summary": { |
| "en": "Community leaderboard for open Persian generative models.", |
| "fa": "جدول امتیاز عمومی برای مقایسهٔ مدلهای فارسی در معیارهای منتشرشده." |
| }, |
| "links": { |
| "web": "https://huggingface.co/spaces/PartAI/open-persian-llm-leaderboard" |
| }, |
| "origin": { |
| "base": null, |
| "persianTraining": null |
| }, |
| "script": { |
| "rtl": true, |
| "zwnj": null, |
| "morphology": null |
| }, |
| "corpus": { |
| "class": null, |
| "licensedBooks": null |
| }, |
| "benchmarks": [], |
| "alefbaAxes": { |
| "scriptFidelity": null, |
| "corpusLaw": null, |
| "curriculumFit": null, |
| "literaryDepth": null, |
| "nativePreference": null |
| }, |
| "verifiedAt": "2026-08-13", |
| "gapTags": [ |
| "public-benchmark" |
| ] |
| }, |
| { |
| "id": "awesome-persian-llm", |
| "kind": "community-index", |
| "class": "community-index", |
| "name": { |
| "en": "Awesome Persian LLM", |
| "fa": "فهرست awesome فارسی" |
| }, |
| "org": "MohammadHeydari", |
| "sizeB": null, |
| "license": "MIT", |
| "status": "verified", |
| "summary": { |
| "en": "Primary discovery index for Persian LLMs — papers, models, datasets, tools. PLR ingests from here; reciprocal structured atlas outreach in governance/outreach/.", |
| "fa": "فهرست اصلی کشف برای مدلهای فارسی — مقاله، مدل، پیکره، ابزار. مرجع PLR از اینجا میخواند؛ همکاری متقابل در governance/outreach/." |
| }, |
| "links": { |
| "repo": "https://github.com/MohammadHeydari/Awesome-Persian-LLM", |
| "web": "https://github.com/MohammadHeydari/Awesome-Persian-LLM#why-this-repo" |
| }, |
| "origin": { |
| "base": null, |
| "persianTraining": null |
| }, |
| "script": { |
| "rtl": null, |
| "zwnj": null, |
| "morphology": null |
| }, |
| "corpus": { |
| "class": null, |
| "licensedBooks": null |
| }, |
| "benchmarks": [], |
| "alefbaAxes": { |
| "scriptFidelity": null, |
| "corpusLaw": null, |
| "curriculumFit": null, |
| "literaryDepth": null, |
| "nativePreference": null |
| }, |
| "verifiedAt": "2026-08-12", |
| "gapTags": [ |
| "ecosystem-index" |
| ] |
| }, |
| { |
| "id": "elab-benchmark", |
| "kind": "dataset", |
| "class": "dataset", |
| "name": { |
| "en": "ELAB — Persian LLM alignment benchmark", |
| "fa": "الاب، بنچمارک همترازی فارسی" |
| }, |
| "org": "Research", |
| "sizeB": null, |
| "license": "research", |
| "status": "verified", |
| "summary": { |
| "en": "Safety, fairness, social norms for Persian — cultural alignment eval.", |
| "fa": "معیار سنجش: Safety, fairness, social norms for Persian — cultural alignment ." |
| }, |
| "links": { |
| "paper": "https://arxiv.org/abs/2504.12553", |
| "web": "https://huggingface.co/spaces/MCILAB/LLM_Alignment_Evaluation" |
| }, |
| "origin": { |
| "base": null, |
| "persianTraining": "eval" |
| }, |
| "script": { |
| "rtl": true, |
| "zwnj": null, |
| "morphology": null |
| }, |
| "corpus": { |
| "class": "benchmark-synthetic+collected", |
| "licensedBooks": false |
| }, |
| "benchmarks": [], |
| "alefbaAxes": { |
| "scriptFidelity": null, |
| "corpusLaw": null, |
| "curriculumFit": null, |
| "literaryDepth": 2, |
| "nativePreference": 2 |
| }, |
| "verifiedAt": "2026-08-13", |
| "gapTags": [ |
| "literary-eval", |
| "public-benchmark" |
| ] |
| }, |
| { |
| "id": "taraz-benchmark", |
| "kind": "dataset", |
| "class": "dataset", |
| "name": { |
| "en": "TARAZ — Persian cultural SAQ", |
| "fa": "تراز، پرسش کوتاه فرهنگی فارسی" |
| }, |
| "org": "Research", |
| "sizeB": null, |
| "license": "research", |
| "status": "verified", |
| "summary": { |
| "en": "Short-answer cultural evaluation with Persian morphological variation.", |
| "fa": "معیار سنجش: Short-answer cultural uation with Persian morphological variation." |
| }, |
| "links": { |
| "paper": "https://doi.org/10.48550/arxiv.2602.22827" |
| }, |
| "origin": { |
| "base": null, |
| "persianTraining": "eval" |
| }, |
| "script": { |
| "rtl": true, |
| "zwnj": "tested", |
| "morphology": "tested" |
| }, |
| "corpus": { |
| "class": "benchmark-cultural", |
| "licensedBooks": false |
| }, |
| "benchmarks": [], |
| "alefbaAxes": { |
| "scriptFidelity": 3, |
| "corpusLaw": null, |
| "curriculumFit": null, |
| "literaryDepth": 3, |
| "nativePreference": null |
| }, |
| "verifiedAt": "2026-08-13", |
| "gapTags": [ |
| "literary-eval", |
| "public-benchmark" |
| ] |
| }, |
| { |
| "id": "gemma3-persian", |
| "kind": "model", |
| "class": "adapted-instruct", |
| "name": { |
| "en": "Gemma 3 Persian (community)", |
| "fa": "جمّا ۳ فارسی (جامعه)" |
| }, |
| "org": "Community", |
| "sizeB": 4, |
| "license": "Apache-2.0", |
| "status": "measured", |
| "summary": { |
| "en": "Community Persian fine-tunes on Gemma 3 — lightweight chat.", |
| "fa": "تنظیمدقیق فارسی جامعه روی جمّا ۳ — گفتگوی سبک." |
| }, |
| "links": { |
| "ollama": "https://ollama.com/mshojaei77/gemma3persian", |
| "hf": "https://huggingface.co/mshojaei77/gemma-3-4b-persian-v0" |
| }, |
| "origin": { |
| "base": "google/gemma-3-4b-it", |
| "persianTraining": "fine-tune" |
| }, |
| "script": { |
| "rtl": true, |
| "zwnj": "unknown", |
| "morphology": "unknown" |
| }, |
| "corpus": { |
| "class": "instruction", |
| "licensedBooks": false |
| }, |
| "benchmarks": [ |
| { |
| "name": "PersianMedQA (Persian)", |
| "score": "35.87", |
| "asOf": "2025-06", |
| "receipt": "paper", |
| "url": "https://arxiv.org/abs/2506.00250", |
| "benchmark": "PersianMedQA", |
| "metric": "accuracy", |
| "value": "35.87", |
| "unit": "percent", |
| "language": "fa", |
| "conditions": "zero-shot MCQ, Persian split (Fa), Table 4, arxiv:2506.00250", |
| "source": "https://arxiv.org/abs/2506.00250", |
| "publication": "https://arxiv.org/abs/2506.00250" |
| } |
| ], |
| "alefbaAxes": { |
| "scriptFidelity": null, |
| "corpusLaw": 1, |
| "curriculumFit": null, |
| "literaryDepth": null, |
| "nativePreference": null |
| }, |
| "verifiedAt": "2026-08-13", |
| "gapTags": [ |
| "instruct-stack", |
| "instruction-data", |
| "measured-evidence", |
| "medical-eval", |
| "open-weights", |
| "small-model" |
| ] |
| }, |
| { |
| "id": "dorna2-llama31-8b", |
| "kind": "model", |
| "class": "adapted-instruct", |
| "name": { |
| "en": "Dorna2-Llama3.1-8B-Instruct", |
| "fa": "درنا۲، لاما۳٫۱ ۸بی" |
| }, |
| "org": "PartAI", |
| "sizeB": 8, |
| "license": "Llama-3.1-community", |
| "status": "measured", |
| "summary": { |
| "en": "Successor in Dorna line on Llama 3.1 — cited in Persian alignment benchmarks.", |
| "fa": "نسل بعدی درنا روی لاما ۳٫۱ — در بنچمارکهای همترازی فارسی ذکر شده." |
| }, |
| "links": { |
| "hf": "https://huggingface.co/PartAI/Dorna2-Llama3.1-8B-Instruct", |
| "leaderboard": "https://huggingface.co/spaces/PartAI/open-persian-llm-leaderboard" |
| }, |
| "origin": { |
| "base": "Llama-3.1-8B-Instruct", |
| "persianTraining": "continued-pretrain+SFT" |
| }, |
| "script": { |
| "rtl": true, |
| "zwnj": "partial", |
| "morphology": "partial" |
| }, |
| "corpus": { |
| "class": "mixed-open+instruction", |
| "licensedBooks": false |
| }, |
| "benchmarks": [ |
| { |
| "name": "PersianMedQA (Persian)", |
| "score": "34.87", |
| "asOf": "2025-06", |
| "receipt": "paper", |
| "url": "https://arxiv.org/abs/2506.00250", |
| "benchmark": "PersianMedQA", |
| "metric": "accuracy", |
| "value": "34.87", |
| "unit": "percent", |
| "language": "fa", |
| "conditions": "zero-shot MCQ, Persian split (Fa), Table 4, arxiv:2506.00250", |
| "source": "https://arxiv.org/abs/2506.00250", |
| "publication": "https://arxiv.org/abs/2506.00250" |
| } |
| ], |
| "alefbaAxes": { |
| "scriptFidelity": 2, |
| "corpusLaw": 1, |
| "curriculumFit": 1, |
| "literaryDepth": 1, |
| "nativePreference": null |
| }, |
| "verifiedAt": "2026-08-13", |
| "firstSeen": "2025-01", |
| "gapTags": [ |
| "instruct-stack", |
| "instruction-data", |
| "measured-evidence", |
| "medical-eval", |
| "open-weights", |
| "small-model" |
| ] |
| }, |
| { |
| "id": "aya-expanse-8b", |
| "kind": "model", |
| "class": "multilingual-frontier", |
| "name": { |
| "en": "Aya Expanse 8B", |
| "fa": "آیا اکسپنس ۸بی" |
| }, |
| "org": "Cohere For AI", |
| "sizeB": 8, |
| "license": "open-weights", |
| "status": "measured", |
| "summary": { |
| "en": "Multilingual instruct model; competitive on Persian cultural alignment evals.", |
| "fa": "مدل دستوری چندزبانه؛ رقابتی در ارزیابی همترازی فرهنگی فارسی." |
| }, |
| "links": { |
| "paper": "https://arxiv.org/abs/2504.12553" |
| }, |
| "origin": { |
| "base": "Aya-Expanse", |
| "persianTraining": "multilingual-instruct" |
| }, |
| "script": { |
| "rtl": true, |
| "zwnj": "partial", |
| "morphology": "partial" |
| }, |
| "corpus": { |
| "class": "multilingual-mix", |
| "licensedBooks": false |
| }, |
| "benchmarks": [ |
| { |
| "name": "PersianMedQA (Persian)", |
| "score": "40.60", |
| "asOf": "2025-06", |
| "receipt": "paper", |
| "url": "https://arxiv.org/abs/2506.00250", |
| "benchmark": "PersianMedQA", |
| "metric": "accuracy", |
| "value": "40.60", |
| "unit": "percent", |
| "language": "fa", |
| "conditions": "zero-shot MCQ, Persian split (Fa), Table 4, arxiv:2506.00250", |
| "source": "https://arxiv.org/abs/2506.00250", |
| "publication": "https://arxiv.org/abs/2506.00250" |
| } |
| ], |
| "alefbaAxes": { |
| "scriptFidelity": 2, |
| "corpusLaw": 0, |
| "curriculumFit": 0, |
| "literaryDepth": 2, |
| "nativePreference": 1 |
| }, |
| "verifiedAt": "2026-08-12", |
| "gapTags": [ |
| "measured-evidence", |
| "medical-eval", |
| "open-weights", |
| "small-model" |
| ] |
| }, |
| { |
| "id": "parsbench", |
| "kind": "leaderboard", |
| "class": "leaderboard", |
| "name": { |
| "en": "ParsBench", |
| "fa": "پارسبنچ" |
| }, |
| "org": "Research", |
| "sizeB": null, |
| "license": "open", |
| "status": "verified", |
| "summary": { |
| "en": "Persian LLM evaluation benchmark suite — canonical open-source project on GitHub.", |
| "fa": "مجموعهٔ ارزیابی مدلهای فارسی — پروژهٔ متنباز اصلی در گیتهاب." |
| }, |
| "links": { |
| "repo": "https://github.com/ParsBench/ParsBench", |
| "web": "https://github.com/ParsBench/ParsBench" |
| }, |
| "origin": { |
| "base": null, |
| "persianTraining": null |
| }, |
| "script": { |
| "rtl": true, |
| "zwnj": null, |
| "morphology": null |
| }, |
| "corpus": { |
| "class": null, |
| "licensedBooks": null |
| }, |
| "benchmarks": [], |
| "alefbaAxes": { |
| "scriptFidelity": null, |
| "corpusLaw": null, |
| "curriculumFit": null, |
| "literaryDepth": null, |
| "nativePreference": null |
| }, |
| "verifiedAt": "2026-08-13", |
| "gapTags": [ |
| "public-benchmark" |
| ] |
| }, |
| { |
| "id": "parsi-nlu", |
| "kind": "dataset", |
| "class": "dataset", |
| "name": { |
| "en": "ParsiNLU", |
| "fa": "پارسیانالیو" |
| }, |
| "org": "Research", |
| "sizeB": null, |
| "license": "research", |
| "status": "verified", |
| "summary": { |
| "en": "Persian natural language understanding benchmark — MCQ and comprehension tasks.", |
| "fa": "معیار سنجش: Persian natural language understanding — MCQ and comprehension tasks." |
| }, |
| "links": { |
| "repo": "https://github.com/persiannlp/parsinlu", |
| "paper": "https://arxiv.org/abs/2012.06154" |
| }, |
| "origin": { |
| "base": null, |
| "persianTraining": "eval" |
| }, |
| "script": { |
| "rtl": true, |
| "zwnj": null, |
| "morphology": null |
| }, |
| "corpus": { |
| "class": "benchmark-NLU", |
| "licensedBooks": false |
| }, |
| "benchmarks": [], |
| "alefbaAxes": { |
| "scriptFidelity": 2, |
| "corpusLaw": null, |
| "curriculumFit": 1, |
| "literaryDepth": 1, |
| "nativePreference": null |
| }, |
| "verifiedAt": "2026-08-13", |
| "gapTags": [ |
| "literary-eval", |
| "public-benchmark" |
| ] |
| }, |
| { |
| "id": "gemini-class", |
| "kind": "model", |
| "class": "multilingual-frontier", |
| "name": { |
| "en": "Gemini class (proprietary)", |
| "fa": "ردهٔ جمینای (اختصاصی)" |
| }, |
| "org": "Google", |
| "sizeB": null, |
| "license": "proprietary", |
| "status": "verified", |
| "summary": { |
| "en": "Frontier multilingual; Persian supported — not Persian-native foundation.", |
| "fa": "مرز چندزبانه؛ فارسی دارد — بنیان فارسی نیست." |
| }, |
| "links": { |
| "web": "https://deepmind.google/technologies/gemini/" |
| }, |
| "origin": { |
| "base": "proprietary", |
| "persianTraining": "multilingual-mix" |
| }, |
| "script": { |
| "rtl": true, |
| "zwnj": "partial", |
| "morphology": "partial" |
| }, |
| "corpus": { |
| "class": "proprietary", |
| "licensedBooks": false |
| }, |
| "benchmarks": [], |
| "alefbaAxes": { |
| "scriptFidelity": 2, |
| "corpusLaw": 0, |
| "curriculumFit": 0, |
| "literaryDepth": 2, |
| "nativePreference": 0 |
| }, |
| "verifiedAt": "2026-08-13", |
| "notes": "Generic Gemini class; see gemini-25-class and gemini-20-flash-class for PersianMedQA scores.", |
| "gapTags": [ |
| "cataloged" |
| ] |
| }, |
| { |
| "id": "claude-class", |
| "kind": "model", |
| "class": "multilingual-frontier", |
| "name": { |
| "en": "Claude class (proprietary)", |
| "fa": "ردهٔ کلاد (اختصاصی)" |
| }, |
| "org": "Anthropic", |
| "sizeB": null, |
| "license": "proprietary", |
| "status": "measured", |
| "summary": { |
| "en": "Frontier multilingual assistant; Persian capable, English-born stack.", |
| "fa": "دستیار مرزی چندزبانه؛ فارسی بلد، پشتهٔ انگلیسیزاده." |
| }, |
| "links": { |
| "web": "https://docs.anthropic.com/" |
| }, |
| "origin": { |
| "base": "proprietary", |
| "persianTraining": "multilingual-mix" |
| }, |
| "script": { |
| "rtl": true, |
| "zwnj": "partial", |
| "morphology": "partial" |
| }, |
| "corpus": { |
| "class": "proprietary", |
| "licensedBooks": false |
| }, |
| "benchmarks": [ |
| { |
| "name": "PersianMedQA (Persian)", |
| "score": "75.19", |
| "asOf": "2025-06", |
| "receipt": "paper", |
| "url": "https://arxiv.org/abs/2506.00250", |
| "benchmark": "PersianMedQA", |
| "metric": "accuracy", |
| "value": "75.19", |
| "unit": "percent", |
| "language": "fa", |
| "conditions": "zero-shot MCQ, Persian split (Fa), Table 4, arxiv:2506.00250", |
| "source": "https://arxiv.org/abs/2506.00250", |
| "publication": "https://arxiv.org/abs/2506.00250" |
| } |
| ], |
| "alefbaAxes": { |
| "scriptFidelity": 2, |
| "corpusLaw": 0, |
| "curriculumFit": 0, |
| "literaryDepth": 2, |
| "nativePreference": 0 |
| }, |
| "verifiedAt": "2026-08-13", |
| "gapTags": [ |
| "measured-evidence", |
| "medical-eval" |
| ] |
| }, |
| { |
| "id": "matina-llm-leaderboard", |
| "kind": "leaderboard", |
| "class": "leaderboard", |
| "name": { |
| "en": "Matina Persian LLM Leaderboard", |
| "fa": "جدول مدلهای فارسی ماتینا" |
| }, |
| "org": "MatinaAI", |
| "sizeB": null, |
| "license": "open", |
| "status": "verified", |
| "summary": { |
| "en": "Hugging Face Space ranking Persian LLMs — companion to MIZAN and PartAI boards.", |
| "fa": "فضای Hugging Face برای رتبهبندی مدلهای فارسی — مکمل MIZAN و PartAI." |
| }, |
| "links": { |
| "web": "https://huggingface.co/spaces/MatinaAI/persian_llm_leaderboard" |
| }, |
| "origin": { |
| "base": null, |
| "persianTraining": null |
| }, |
| "script": { |
| "rtl": null, |
| "zwnj": null, |
| "morphology": null |
| }, |
| "corpus": { |
| "class": null, |
| "licensedBooks": null |
| }, |
| "benchmarks": [], |
| "alefbaAxes": { |
| "scriptFidelity": null, |
| "corpusLaw": null, |
| "curriculumFit": null, |
| "literaryDepth": null, |
| "nativePreference": null |
| }, |
| "verifiedAt": "2026-08-13", |
| "gapTags": [ |
| "public-benchmark" |
| ] |
| }, |
| { |
| "id": "hakim-embedding", |
| "kind": "model", |
| "class": "encoder-only", |
| "name": { |
| "en": "Hakim — Farsi text embedding", |
| "fa": "حکیم، تعبیهٔ متن فارسی" |
| }, |
| "org": "Research", |
| "sizeB": null, |
| "license": "see-paper", |
| "status": "verified", |
| "summary": { |
| "en": "Farsi text embedding model for retrieval and semantic search pipelines.", |
| "fa": "مدل تعبیهٔ متن فارسی برای بازیابی و جستجوی معنایی." |
| }, |
| "links": { |
| "paper": "https://arxiv.org/abs/2505.08435" |
| }, |
| "origin": { |
| "base": "encoder", |
| "persianTraining": "persian-focused" |
| }, |
| "script": { |
| "rtl": true, |
| "zwnj": "partial", |
| "morphology": "partial" |
| }, |
| "corpus": { |
| "class": "mixed-open", |
| "licensedBooks": false |
| }, |
| "benchmarks": [], |
| "alefbaAxes": { |
| "scriptFidelity": 3, |
| "corpusLaw": 1, |
| "curriculumFit": null, |
| "literaryDepth": 1, |
| "nativePreference": null |
| }, |
| "verifiedAt": "2026-08-13", |
| "gapTags": [ |
| "encoder-stack" |
| ] |
| }, |
| { |
| "id": "tooka-sbert", |
| "kind": "model", |
| "class": "encoder-only", |
| "name": { |
| "en": "Tooka-SBERT", |
| "fa": "توکا-اسبرت" |
| }, |
| "org": "Research", |
| "sizeB": null, |
| "license": "see-paper", |
| "status": "verified", |
| "summary": { |
| "en": "Lightweight Persian sentence embedding models for downstream NLP tasks.", |
| "fa": "مدلهای تعبیهٔ جملهٔ سبک فارسی برای وظایف پاییندستی." |
| }, |
| "links": { |
| "paper": "https://aclanthology.org/2025.findings-ijcnlp.147.pdf" |
| }, |
| "origin": { |
| "base": "SBERT-class", |
| "persianTraining": "persian-focused" |
| }, |
| "script": { |
| "rtl": true, |
| "zwnj": "partial", |
| "morphology": "partial" |
| }, |
| "corpus": { |
| "class": "mixed-open", |
| "licensedBooks": false |
| }, |
| "benchmarks": [], |
| "alefbaAxes": { |
| "scriptFidelity": 3, |
| "corpusLaw": 1, |
| "curriculumFit": null, |
| "literaryDepth": 1, |
| "nativePreference": null |
| }, |
| "verifiedAt": "2026-08-13", |
| "gapTags": [ |
| "encoder-stack" |
| ] |
| }, |
| { |
| "id": "famteb-benchmark", |
| "kind": "dataset", |
| "class": "dataset", |
| "name": { |
| "en": "FaMTEB — Persian embedding benchmark", |
| "fa": "فامتیایبی، بنچمارک تعبیهٔ فارسی" |
| }, |
| "org": "Research", |
| "sizeB": null, |
| "license": "research", |
| "status": "verified", |
| "summary": { |
| "en": "Massive text embedding benchmark suite for Persian language models.", |
| "fa": "معیار سنجش: Massive text embedding suite for Persian language models." |
| }, |
| "links": { |
| "paper": "https://arxiv.org/pdf/2502.11571" |
| }, |
| "origin": { |
| "base": null, |
| "persianTraining": "eval" |
| }, |
| "script": { |
| "rtl": true, |
| "zwnj": null, |
| "morphology": null |
| }, |
| "corpus": { |
| "class": "benchmark-embedding", |
| "licensedBooks": false |
| }, |
| "benchmarks": [], |
| "alefbaAxes": { |
| "scriptFidelity": 2, |
| "corpusLaw": null, |
| "curriculumFit": 1, |
| "literaryDepth": 1, |
| "nativePreference": null |
| }, |
| "verifiedAt": "2026-08-13", |
| "gapTags": [ |
| "public-benchmark" |
| ] |
| }, |
| { |
| "id": "farsinstruct", |
| "kind": "dataset", |
| "class": "dataset", |
| "name": { |
| "en": "FarsInstruct", |
| "fa": "فارساینستراکت" |
| }, |
| "org": "Research", |
| "sizeB": null, |
| "license": "research", |
| "status": "verified", |
| "summary": { |
| "en": "Instruction dataset empowering Persian LLMs for instruction following.", |
| "fa": "مجموعهدادهٔ فارسی — پیکرهٔ دستوری برای تقویت پیروی از دستور در مدلهای فارسی." |
| }, |
| "links": { |
| "paper": "https://arxiv.org/html/2407.11186v1" |
| }, |
| "origin": { |
| "base": null, |
| "persianTraining": "instruction-SFT" |
| }, |
| "script": { |
| "rtl": true, |
| "zwnj": "partial", |
| "morphology": null |
| }, |
| "corpus": { |
| "class": "instruction", |
| "licensedBooks": false |
| }, |
| "benchmarks": [], |
| "alefbaAxes": { |
| "scriptFidelity": 2, |
| "corpusLaw": 1, |
| "curriculumFit": 2, |
| "literaryDepth": 1, |
| "nativePreference": null |
| }, |
| "verifiedAt": "2026-08-13", |
| "gapTags": [ |
| "instruction-data" |
| ] |
| }, |
| { |
| "id": "khayyam-persianmmlu", |
| "kind": "dataset", |
| "class": "dataset", |
| "name": { |
| "en": "Khayyam Challenge — PersianMMLU", |
| "fa": "چالش خیام، پرشینامامالیو" |
| }, |
| "org": "Research", |
| "sizeB": null, |
| "license": "research", |
| "status": "verified", |
| "summary": { |
| "en": "Multitask Persian knowledge benchmark — measures whether LLMs are truly wise in Persian.", |
| "fa": "معیار سنجش: Multitask Persian knowledge — measures whether LLMs are truly wise in Persian." |
| }, |
| "links": { |
| "paper": "https://openreview.net/forum?id=yIEyHP7AvH" |
| }, |
| "origin": { |
| "base": null, |
| "persianTraining": "eval" |
| }, |
| "script": { |
| "rtl": true, |
| "zwnj": null, |
| "morphology": null |
| }, |
| "corpus": { |
| "class": "benchmark-knowledge", |
| "licensedBooks": false |
| }, |
| "benchmarks": [], |
| "alefbaAxes": { |
| "scriptFidelity": 2, |
| "corpusLaw": null, |
| "curriculumFit": 2, |
| "literaryDepth": 2, |
| "nativePreference": null |
| }, |
| "verifiedAt": "2026-08-13", |
| "gapTags": [ |
| "literary-eval", |
| "public-benchmark" |
| ] |
| }, |
| { |
| "id": "farsi-synthetic-data", |
| "kind": "dataset", |
| "class": "dataset", |
| "name": { |
| "en": "FarsiSyntheticData", |
| "fa": "دادهٔ مصنوعی فارسی" |
| }, |
| "org": "MohammadHeydari", |
| "sizeB": null, |
| "license": "see-repo", |
| "status": "verified", |
| "summary": { |
| "en": "High-quality Farsi instruction-following synthetic datasets generated with LLMs.", |
| "fa": "مجموعهدادهٔ فارسی — پیکرههای مصنوعی دستوری فارسی با کیفیت بالا تولیدشده با مدلهای زبانی." |
| }, |
| "links": { |
| "repo": "https://github.com/MohammadHeydari/FarsiSyntheticData" |
| }, |
| "origin": { |
| "base": null, |
| "persianTraining": "synthetic-instruction" |
| }, |
| "script": { |
| "rtl": true, |
| "zwnj": "partial", |
| "morphology": null |
| }, |
| "corpus": { |
| "class": "synthetic-instruction", |
| "licensedBooks": false |
| }, |
| "benchmarks": [], |
| "alefbaAxes": { |
| "scriptFidelity": 2, |
| "corpusLaw": 1, |
| "curriculumFit": 2, |
| "literaryDepth": 1, |
| "nativePreference": null |
| }, |
| "verifiedAt": "2026-08-13", |
| "gapTags": [ |
| "instruction-data" |
| ] |
| }, |
| { |
| "id": "persian-synthetic-instruct", |
| "kind": "dataset", |
| "class": "dataset", |
| "name": { |
| "en": "Persian-Synthetic-Instruct (HF)", |
| "fa": "دستور مصنوعی فارسی" |
| }, |
| "org": "Heydaritoday", |
| "sizeB": null, |
| "license": "see-model-card", |
| "status": "verified", |
| "summary": { |
| "en": "Hugging Face dataset of synthetic Persian instruction examples for SFT.", |
| "fa": "مجموعهدادهٔ فارسی — پیکرهٔ Hugging Face از نمونههای دستوری مصنوعی فارسی برای SFT." |
| }, |
| "links": { |
| "hf": "https://huggingface.co/datasets/Heydaritoday/Persian-Synthetic-Instruct" |
| }, |
| "origin": { |
| "base": null, |
| "persianTraining": "synthetic-instruction" |
| }, |
| "script": { |
| "rtl": true, |
| "zwnj": "partial", |
| "morphology": null |
| }, |
| "corpus": { |
| "class": "synthetic-instruction", |
| "licensedBooks": false |
| }, |
| "benchmarks": [], |
| "alefbaAxes": { |
| "scriptFidelity": 2, |
| "corpusLaw": 1, |
| "curriculumFit": 2, |
| "literaryDepth": 1, |
| "nativePreference": null |
| }, |
| "verifiedAt": "2026-08-13", |
| "gapTags": [ |
| "instruction-data" |
| ] |
| }, |
| { |
| "id": "tlpc-corpus", |
| "kind": "dataset", |
| "class": "dataset", |
| "name": { |
| "en": "TLPC — Targoman Persian corpus", |
| "fa": "پیکرهٔ تارگومان TLPC" |
| }, |
| "org": "Targoman", |
| "sizeB": null, |
| "license": "see-model-card", |
| "status": "verified", |
| "summary": { |
| "en": "Persian text corpus on Hugging Face — used in open Persian NLP pipelines.", |
| "fa": "مجموعهدادهٔ فارسی — در خطوط پردازش باز فارسی." |
| }, |
| "links": { |
| "hf": "https://huggingface.co/datasets/Targoman/TLPC" |
| }, |
| "origin": { |
| "base": null, |
| "persianTraining": "pretrain-corpus" |
| }, |
| "script": { |
| "rtl": true, |
| "zwnj": null, |
| "morphology": null |
| }, |
| "corpus": { |
| "class": "web-mixed", |
| "licensedBooks": false |
| }, |
| "benchmarks": [], |
| "alefbaAxes": { |
| "scriptFidelity": 2, |
| "corpusLaw": 1, |
| "curriculumFit": 1, |
| "literaryDepth": 1, |
| "nativePreference": null |
| }, |
| "verifiedAt": "2026-08-13", |
| "gapTags": [ |
| "instruction-data" |
| ] |
| }, |
| { |
| "id": "alpaca-persian", |
| "kind": "dataset", |
| "class": "dataset", |
| "name": { |
| "en": "Alpaca Persian", |
| "fa": "آلپاکا فارسی" |
| }, |
| "org": "Community", |
| "sizeB": null, |
| "license": "see-model-card", |
| "status": "verified", |
| "summary": { |
| "en": "Persian translation/adaptation of Alpaca-style instruction data for fine-tuning.", |
| "fa": "نسخهٔ فارسی دادهٔ دستوری سبک آلپاکا برای فاینتیون." |
| }, |
| "links": { |
| "hf": "https://huggingface.co/datasets/sinarashidi/alpaca-persian" |
| }, |
| "origin": { |
| "base": null, |
| "persianTraining": "instruction-SFT" |
| }, |
| "script": { |
| "rtl": true, |
| "zwnj": "partial", |
| "morphology": null |
| }, |
| "corpus": { |
| "class": "instruction", |
| "licensedBooks": false |
| }, |
| "benchmarks": [], |
| "alefbaAxes": { |
| "scriptFidelity": 2, |
| "corpusLaw": 1, |
| "curriculumFit": 2, |
| "literaryDepth": 1, |
| "nativePreference": null |
| }, |
| "verifiedAt": "2026-08-13", |
| "gapTags": [ |
| "instruction-data" |
| ] |
| }, |
| { |
| "id": "percul-benchmark", |
| "kind": "dataset", |
| "class": "dataset", |
| "name": { |
| "en": "PERCUL — cultural eval (Persian)", |
| "fa": "پرکول، ارزیابی فرهنگی" |
| }, |
| "org": "Research", |
| "sizeB": null, |
| "license": "research", |
| "status": "verified", |
| "summary": { |
| "en": "Story-driven cultural evaluation of LLMs in Persian literary and social context.", |
| "fa": "معیار سنجش: Story-driven cultural uation of LLMs in Persian literary and social context." |
| }, |
| "links": { |
| "paper": "https://aclanthology.org/2025.naacl-long.631.pdf" |
| }, |
| "origin": { |
| "base": null, |
| "persianTraining": "eval-cultural" |
| }, |
| "script": { |
| "rtl": true, |
| "zwnj": null, |
| "morphology": null |
| }, |
| "corpus": { |
| "class": "benchmark-cultural", |
| "licensedBooks": false |
| }, |
| "benchmarks": [], |
| "alefbaAxes": { |
| "scriptFidelity": 2, |
| "corpusLaw": null, |
| "curriculumFit": 2, |
| "literaryDepth": 3, |
| "nativePreference": 2 |
| }, |
| "verifiedAt": "2026-08-13", |
| "gapTags": [ |
| "literary-eval", |
| "native-preference", |
| "public-benchmark" |
| ] |
| }, |
| { |
| "id": "melac-benchmark", |
| "kind": "dataset", |
| "class": "dataset", |
| "name": { |
| "en": "MELAC — massive Persian LLM eval", |
| "fa": "ملاک، ارزیابی گسترده" |
| }, |
| "org": "Research", |
| "sizeB": null, |
| "license": "research", |
| "status": "verified", |
| "summary": { |
| "en": "Massive evaluation of large language models on Persian tasks.", |
| "fa": "معیار سنجش: Massive uation of large language models on Persian tasks." |
| }, |
| "links": { |
| "paper": "https://aclanthology.org/2025.ijcnlp-long.105.pdf" |
| }, |
| "origin": { |
| "base": null, |
| "persianTraining": "eval" |
| }, |
| "script": { |
| "rtl": true, |
| "zwnj": null, |
| "morphology": null |
| }, |
| "corpus": { |
| "class": "benchmark-suite", |
| "licensedBooks": false |
| }, |
| "benchmarks": [], |
| "alefbaAxes": { |
| "scriptFidelity": 2, |
| "corpusLaw": null, |
| "curriculumFit": 2, |
| "literaryDepth": 2, |
| "nativePreference": 1 |
| }, |
| "verifiedAt": "2026-08-13", |
| "gapTags": [ |
| "literary-eval", |
| "public-benchmark" |
| ] |
| }, |
| { |
| "id": "taarof-benchmark", |
| "kind": "dataset", |
| "class": "dataset", |
| "name": { |
| "en": "Taarof — Persian pragmatics eval", |
| "fa": "تعارف، ارزیابی pragmaتیک فارسی" |
| }, |
| "org": "Research", |
| "sizeB": null, |
| "license": "research", |
| "status": "verified", |
| "summary": { |
| "en": "Benchmark testing whether LLMs understand Persian taarof and politeness norms.", |
| "fa": "معیار سنجش: testing whether LLMs understand Persian taarof and politeness norms." |
| }, |
| "links": { |
| "paper": "https://aclanthology.org/2025.emnlp-main.94.pdf" |
| }, |
| "origin": { |
| "base": null, |
| "persianTraining": "eval-cultural" |
| }, |
| "script": { |
| "rtl": true, |
| "zwnj": null, |
| "morphology": null |
| }, |
| "corpus": { |
| "class": "benchmark-cultural", |
| "licensedBooks": false |
| }, |
| "benchmarks": [], |
| "alefbaAxes": { |
| "scriptFidelity": 2, |
| "corpusLaw": null, |
| "curriculumFit": 2, |
| "literaryDepth": 3, |
| "nativePreference": 3 |
| }, |
| "verifiedAt": "2026-08-13", |
| "gapTags": [ |
| "literary-eval", |
| "native-preference", |
| "public-benchmark" |
| ] |
| }, |
| { |
| "id": "persianrag", |
| "kind": "dataset", |
| "class": "dataset", |
| "name": { |
| "en": "PersianRAG", |
| "fa": "پرشینرگ" |
| }, |
| "org": "Research", |
| "sizeB": null, |
| "license": "research", |
| "status": "verified", |
| "summary": { |
| "en": "Retrieval-augmented generation system and resources for Persian language QA.", |
| "fa": "معیار سنجش: Retri-augmented generation system and resources for Persian language QA." |
| }, |
| "links": { |
| "paper": "https://arxiv.org/abs/2411.02832" |
| }, |
| "origin": { |
| "base": null, |
| "persianTraining": "RAG" |
| }, |
| "script": { |
| "rtl": true, |
| "zwnj": "partial", |
| "morphology": null |
| }, |
| "corpus": { |
| "class": "RAG-index", |
| "licensedBooks": false |
| }, |
| "benchmarks": [], |
| "alefbaAxes": { |
| "scriptFidelity": 2, |
| "corpusLaw": 1, |
| "curriculumFit": 1, |
| "literaryDepth": 1, |
| "nativePreference": null |
| }, |
| "verifiedAt": "2026-08-13", |
| "gapTags": [ |
| "cataloged" |
| ] |
| }, |
| { |
| "id": "persian-ollama-index", |
| "kind": "community-index", |
| "class": "community-index", |
| "name": { |
| "en": "Persian Ollama LLM index", |
| "fa": "فهرست اولامای فارسی" |
| }, |
| "org": "sepy-dev", |
| "sizeB": null, |
| "license": "GPL-3.0", |
| "status": "verified", |
| "summary": { |
| "en": "Community index of Persian models packaged for Ollama local inference.", |
| "fa": "فهرست جامعهٔ مدلهای فارسی بستهبندیشده برای اولاما." |
| }, |
| "links": { |
| "repo": "https://github.com/sepy-dev/Persian-Ollama-LLm" |
| }, |
| "origin": { |
| "base": null, |
| "persianTraining": null |
| }, |
| "script": { |
| "rtl": null, |
| "zwnj": null, |
| "morphology": null |
| }, |
| "corpus": { |
| "class": null, |
| "licensedBooks": null |
| }, |
| "benchmarks": [], |
| "alefbaAxes": { |
| "scriptFidelity": null, |
| "corpusLaw": null, |
| "curriculumFit": null, |
| "literaryDepth": null, |
| "nativePreference": null |
| }, |
| "verifiedAt": "2026-08-13", |
| "gapTags": [ |
| "ecosystem-index" |
| ] |
| }, |
| { |
| "id": "dorna-4bit-quantized", |
| "kind": "model", |
| "class": "adapted-instruct", |
| "name": { |
| "en": "Dorna-Llama3-8B 4-bit (quantized)", |
| "fa": "درنا ۴بیت کوانتیزه" |
| }, |
| "org": "Community", |
| "sizeB": 8, |
| "license": "Llama-3-community", |
| "status": "verified", |
| "summary": { |
| "en": "Quantized 4-bit variant of Dorna for consumer-GPU inference — sibling to PartAI GGUF release.", |
| "fa": "نسخهٔ ۴بیت کوانتیزهٔ درنا برای GPU مصرفی — مکمل انتشار GGUF پارتی." |
| }, |
| "links": { |
| "hf": "https://huggingface.co/amirMohammadi/Dorna-Llama3-8B-Instruct-Quantized4Bit" |
| }, |
| "origin": { |
| "base": "PartAI/Dorna-Llama3-8B-Instruct", |
| "persianTraining": "quantized-4bit" |
| }, |
| "script": { |
| "rtl": true, |
| "zwnj": "partial", |
| "morphology": "partial" |
| }, |
| "corpus": { |
| "class": "mixed-open+instruction", |
| "licensedBooks": false |
| }, |
| "benchmarks": [], |
| "alefbaAxes": { |
| "scriptFidelity": 2, |
| "corpusLaw": 1, |
| "curriculumFit": 1, |
| "literaryDepth": 1, |
| "nativePreference": null |
| }, |
| "verifiedAt": "2026-08-13", |
| "gapTags": [ |
| "instruct-stack", |
| "instruction-data", |
| "open-weights", |
| "small-model" |
| ] |
| }, |
| { |
| "id": "dorna-llama3-8b-instruct", |
| "kind": "model", |
| "class": "adapted-instruct", |
| "name": { |
| "en": "Dorna-Llama3-8B-Instruct (full weights)", |
| "fa": "درنا، وزن کامل" |
| }, |
| "org": "PartAI", |
| "sizeB": 8, |
| "license": "Llama-3-community", |
| "status": "verified", |
| "summary": { |
| "en": "Full-precision Dorna instruct weights on Hugging Face — distinct from GGUF distribution.", |
| "fa": "وزن کامل دستوری درنا در Hugging Face — جدا از توزیع GGUF." |
| }, |
| "links": { |
| "hf": "https://huggingface.co/PartAI/Dorna-Llama3-8B-Instruct", |
| "leaderboard": "https://huggingface.co/spaces/PartAI/open-persian-llm-leaderboard" |
| }, |
| "origin": { |
| "base": "Llama-3-8B-Instruct", |
| "persianTraining": "continued-pretrain+SFT" |
| }, |
| "script": { |
| "rtl": true, |
| "zwnj": "partial", |
| "morphology": "partial" |
| }, |
| "corpus": { |
| "class": "mixed-open+instruction", |
| "licensedBooks": false |
| }, |
| "benchmarks": [ |
| { |
| "name": "Open Persian LLM Leaderboard", |
| "score": null, |
| "asOf": null, |
| "receipt": "leaderboard-live", |
| "url": "https://huggingface.co/spaces/PartAI/open-persian-llm-leaderboard" |
| } |
| ], |
| "alefbaAxes": { |
| "scriptFidelity": 2, |
| "corpusLaw": 1, |
| "curriculumFit": 1, |
| "literaryDepth": 1, |
| "nativePreference": null |
| }, |
| "verifiedAt": "2026-08-13", |
| "gapTags": [ |
| "instruct-stack", |
| "instruction-data", |
| "open-weights", |
| "small-model" |
| ] |
| }, |
| { |
| "id": "biopars", |
| "kind": "model", |
| "class": "adapted-instruct", |
| "name": { |
| "en": "BioPars — Persian biomedical LLM", |
| "fa": "بیوپارس، مدل زیستپزشکی فارسی" |
| }, |
| "org": "Research", |
| "sizeB": null, |
| "license": "CC-BY-NC-ND-4.0", |
| "status": "verified", |
| "summary": { |
| "en": "BioPars biomedical LLM for Persian clinical QA; Nature Scientific Reports + GitHub code.", |
| "fa": "مدل زیستپزشکی بیوپارس برای پرسشوپاسخ بالینی فارسی؛ مقالهٔ Nature + گیتهاب." |
| }, |
| "links": { |
| "paper": "https://www.nature.com/articles/s41598-026-55970-3", |
| "repo": "https://github.com/amirap80/BioPars" |
| }, |
| "origin": { |
| "base": "custom-biomedical", |
| "persianTraining": "domain-pretrain" |
| }, |
| "script": { |
| "rtl": true, |
| "zwnj": "partial", |
| "morphology": "partial" |
| }, |
| "corpus": { |
| "class": "domain-biomedical", |
| "licensedBooks": false |
| }, |
| "benchmarks": [], |
| "alefbaAxes": { |
| "scriptFidelity": 2, |
| "corpusLaw": 1, |
| "curriculumFit": 1, |
| "literaryDepth": 0, |
| "nativePreference": null |
| }, |
| "verifiedAt": "2026-08-13", |
| "gapTags": [ |
| "instruct-stack", |
| "instruction-data", |
| "medical-eval", |
| "open-weights" |
| ] |
| }, |
| { |
| "id": "parse-benchmark", |
| "kind": "dataset", |
| "class": "dataset", |
| "name": { |
| "en": "PARSE — Persian reasoning QA", |
| "fa": "پارس، پرسشوپاسخ استدلالی فارسی" |
| }, |
| "org": "University of Innsbruck · IUST", |
| "sizeB": null, |
| "license": "see-repo", |
| "status": "verified", |
| "summary": { |
| "en": "10,800 open-domain reasoning QA items (Boolean, multiple-choice, factoid) with multi-hop and unanswerable cases.", |
| "fa": "۱۰٬۸۰۰ سؤال استدلالی دامنهباز (بله/خیر، چندگزینهای، واقعی) با چندگامی و بدونپاسخ." |
| }, |
| "links": { |
| "repo": "https://github.com/DataScienceUIBK/Parse", |
| "paper": "https://arxiv.org/abs/2602.01246", |
| "hf": "https://huggingface.co/datasets/JamshidJDMY/Parse" |
| }, |
| "origin": { |
| "base": null, |
| "persianTraining": null |
| }, |
| "script": { |
| "rtl": true, |
| "zwnj": "partial", |
| "morphology": "partial" |
| }, |
| "corpus": { |
| "class": "eval-benchmark", |
| "licensedBooks": false |
| }, |
| "benchmarks": [], |
| "alefbaAxes": { |
| "scriptFidelity": 3, |
| "corpusLaw": 2, |
| "curriculumFit": null, |
| "literaryDepth": 2, |
| "nativePreference": 2 |
| }, |
| "verifiedAt": "2026-08-13", |
| "gapTags": [ |
| "literary-eval", |
| "public-benchmark" |
| ] |
| }, |
| { |
| "id": "ept-benchmark", |
| "kind": "dataset", |
| "class": "dataset", |
| "name": { |
| "en": "EPT — Persian trustworthiness eval", |
| "fa": "ایپیتی، ارزیابی اعتمادپذیری فارسی" |
| }, |
| "org": "Research", |
| "sizeB": null, |
| "license": "see-repo", |
| "status": "verified", |
| "summary": { |
| "en": "1,200 expert-curated prompts across ethics, fairness, privacy, robustness, safety, and truthfulness in Persian context.", |
| "fa": "۱٬۲۰۰ پرامپت خبره در شش بُعد اخلاق، انصاف، حریم خصوصی، استحکام، ایمنی و راستگویی." |
| }, |
| "links": { |
| "repo": "https://github.com/Rezamirbagheri110/EPT-Benchmark", |
| "paper": "https://arxiv.org/abs/2509.06838", |
| "hf": "https://huggingface.co/datasets/mirbagheri-mohammadreza/EPT-Benchmark" |
| }, |
| "origin": { |
| "base": null, |
| "persianTraining": null |
| }, |
| "script": { |
| "rtl": true, |
| "zwnj": "partial", |
| "morphology": null |
| }, |
| "corpus": { |
| "class": "eval-benchmark", |
| "licensedBooks": false |
| }, |
| "benchmarks": [], |
| "alefbaAxes": { |
| "scriptFidelity": 2, |
| "corpusLaw": 2, |
| "curriculumFit": null, |
| "literaryDepth": 1, |
| "nativePreference": 3 |
| }, |
| "verifiedAt": "2026-08-13", |
| "gapTags": [ |
| "literary-eval", |
| "native-preference", |
| "public-benchmark" |
| ] |
| }, |
| { |
| "id": "persianmedqa", |
| "kind": "dataset", |
| "class": "dataset", |
| "name": { |
| "en": "PersianMedQA", |
| "fa": "پرشینمدکیوای" |
| }, |
| "org": "University of Tehran", |
| "sizeB": null, |
| "license": "see-paper", |
| "status": "verified", |
| "summary": { |
| "en": "20,785 bilingual Persian–English medical MCQs from 14 years of Iranian board exams across 23 specialties.", |
| "fa": "۲۰٬۷۸۵ سؤال چندگزینهای پزشکی دوزبانه از ۱۴ سال آزمونهای تخصصی ایران." |
| }, |
| "links": { |
| "paper": "https://arxiv.org/abs/2506.00250", |
| "web": "https://mohammadjranjbar.github.io/PersianMedQA/", |
| "hf": "https://huggingface.co/datasets/MohammadJRanjbar/PersianMedQA" |
| }, |
| "origin": { |
| "base": null, |
| "persianTraining": null |
| }, |
| "script": { |
| "rtl": true, |
| "zwnj": "partial", |
| "morphology": "partial" |
| }, |
| "corpus": { |
| "class": "domain-medical", |
| "licensedBooks": false |
| }, |
| "benchmarks": [], |
| "alefbaAxes": { |
| "scriptFidelity": 3, |
| "corpusLaw": 3, |
| "curriculumFit": null, |
| "literaryDepth": 1, |
| "nativePreference": 3 |
| }, |
| "verifiedAt": "2026-08-13", |
| "gapTags": [ |
| "medical-eval" |
| ] |
| }, |
| { |
| "id": "pquad-dataset", |
| "kind": "dataset", |
| "class": "dataset", |
| "name": { |
| "en": "PQuAD — Persian reading comprehension", |
| "fa": "پیکیوایایدی، درک مطلب فارسی" |
| }, |
| "org": "AUT · Mabna Intelligent Computing", |
| "sizeB": null, |
| "license": "see-repo", |
| "status": "verified", |
| "summary": { |
| "en": "80,000 span-extraction QA pairs on Persian Wikipedia; 25% adversarially unanswerable.", |
| "fa": "۸۰٬۰۰۰ جفت پرسشوپاسخ استخراجی روی ویکیپدیای فارسی؛ ۲۵٪ بدون پاسخ." |
| }, |
| "links": { |
| "repo": "https://github.com/AUT-NLP/PQuAD", |
| "paper": "https://arxiv.org/abs/2202.06219" |
| }, |
| "origin": { |
| "base": null, |
| "persianTraining": null |
| }, |
| "script": { |
| "rtl": true, |
| "zwnj": "partial", |
| "morphology": "partial" |
| }, |
| "corpus": { |
| "class": "wikipedia-mrc", |
| "licensedBooks": false |
| }, |
| "benchmarks": [], |
| "alefbaAxes": { |
| "scriptFidelity": 3, |
| "corpusLaw": 2, |
| "curriculumFit": 2, |
| "literaryDepth": 2, |
| "nativePreference": null |
| }, |
| "verifiedAt": "2026-08-13", |
| "gapTags": [ |
| "literary-eval", |
| "public-benchmark" |
| ] |
| }, |
| { |
| "id": "persianmhqa-dataset", |
| "kind": "dataset", |
| "class": "dataset", |
| "name": { |
| "en": "PersianMHQA — multi-hop QA", |
| "fa": "پرشیناماچکیوای، پرسش چندگامی" |
| }, |
| "org": "IUST", |
| "sizeB": null, |
| "license": "see-paper", |
| "status": "verified", |
| "summary": { |
| "en": "7,000 open-domain multi-hop questions from Persian Wikipedia; partial public release on Hugging Face.", |
| "fa": "۷٬۰۰۰ پرسش چندگامی دامنهباز از ویکیپدیای فارسی؛ انتشار جزئی در Hugging Face." |
| }, |
| "links": { |
| "hf": "https://huggingface.co/datasets/Arg1990/PersianMHQA", |
| "web": "https://en.civilica.com/doc/2111883/" |
| }, |
| "origin": { |
| "base": null, |
| "persianTraining": null |
| }, |
| "script": { |
| "rtl": true, |
| "zwnj": "partial", |
| "morphology": "partial" |
| }, |
| "corpus": { |
| "class": "wikipedia-mhqa", |
| "licensedBooks": false |
| }, |
| "benchmarks": [], |
| "alefbaAxes": { |
| "scriptFidelity": 3, |
| "corpusLaw": 2, |
| "curriculumFit": null, |
| "literaryDepth": 2, |
| "nativePreference": null |
| }, |
| "verifiedAt": "2026-08-13", |
| "notes": "Full 7k release pending per authors; HF hosts sample subset.", |
| "gapTags": [ |
| "instruction-data" |
| ] |
| }, |
| { |
| "id": "hooshvare-bert-fa", |
| "kind": "model", |
| "class": "encoder-only", |
| "name": { |
| "en": "BERT-FA base (HooshvareLab)", |
| "fa": "برت پایهٔ فارسی (هوشور)" |
| }, |
| "org": "HooshvareLab", |
| "sizeB": 0.12, |
| "license": "MIT", |
| "status": "verified", |
| "summary": { |
| "en": "Widely used Persian BERT base for classification, NER, and embedding pipelines.", |
| "fa": "برت پایهٔ پرکاربرد فارسی برای طبقهبندی، شناسایی موجودیت و تعبیه." |
| }, |
| "links": { |
| "hf": "https://huggingface.co/HooshvareLab/bert-fa-base-uncased" |
| }, |
| "origin": { |
| "base": "BERT", |
| "persianTraining": "persian-corpus" |
| }, |
| "script": { |
| "rtl": true, |
| "zwnj": "partial", |
| "morphology": "partial" |
| }, |
| "corpus": { |
| "class": "mixed-open", |
| "licensedBooks": false |
| }, |
| "benchmarks": [], |
| "alefbaAxes": { |
| "scriptFidelity": 3, |
| "corpusLaw": 1, |
| "curriculumFit": 1, |
| "literaryDepth": 1, |
| "nativePreference": null |
| }, |
| "verifiedAt": "2026-08-13", |
| "gapTags": [ |
| "encoder-stack", |
| "open-weights", |
| "small-model" |
| ] |
| }, |
| { |
| "id": "islamicpcqa-benchmark", |
| "kind": "dataset", |
| "class": "dataset", |
| "name": { |
| "en": "IslamicPCQA — Persian multi-hop Islamic QA", |
| "fa": "اسلامیکپیسیکیوای" |
| }, |
| "org": "IUST", |
| "sizeB": null, |
| "license": "research", |
| "status": "verified", |
| "summary": { |
| "en": "12,282 multi-hop QA pairs from nine Persian Islamic encyclopedias; dataset not yet public.", |
| "fa": "مجموعهدادهٔ فارسی — ۱۲٬۲۸۲ جفت پرسشوپاسخ چندگامی از نه دانشنامهٔ اسلامی فارسی؛ پیکره هنوز عمومی نیست." |
| }, |
| "links": { |
| "paper": "https://arxiv.org/abs/2304.11664" |
| }, |
| "origin": { |
| "base": null, |
| "persianTraining": null |
| }, |
| "script": { |
| "rtl": true, |
| "zwnj": "partial", |
| "morphology": "partial" |
| }, |
| "corpus": { |
| "class": "domain-islamic", |
| "licensedBooks": true |
| }, |
| "benchmarks": [], |
| "alefbaAxes": { |
| "scriptFidelity": 3, |
| "corpusLaw": 3, |
| "curriculumFit": null, |
| "literaryDepth": 3, |
| "nativePreference": 2 |
| }, |
| "verifiedAt": "2026-08-13", |
| "notes": "Paper published; public dataset release pending per authors.", |
| "gapTags": [ |
| "instruction-data", |
| "public-benchmark" |
| ] |
| }, |
| { |
| "id": "deepseek-v3-class", |
| "kind": "model", |
| "class": "multilingual-frontier", |
| "name": { |
| "en": "DeepSeek-V3 class (proprietary)", |
| "fa": "ردهٔ دیپسیک‑وی۳ (اختصاصی)" |
| }, |
| "org": "DeepSeek", |
| "sizeB": null, |
| "license": "proprietary", |
| "status": "measured", |
| "summary": { |
| "en": "Frontier multilingual model class cited on Persian leaderboards; no open weights.", |
| "fa": "جدول امتیاز عمومی برای مقایسهٔ مدلهای فارسی در معیارهای منتشرشده." |
| }, |
| "links": { |
| "web": "https://www.deepseek.com/" |
| }, |
| "origin": { |
| "base": "proprietary", |
| "persianTraining": "multilingual-pretrain" |
| }, |
| "script": { |
| "rtl": true, |
| "zwnj": "partial", |
| "morphology": "partial" |
| }, |
| "corpus": { |
| "class": "mixed-web", |
| "licensedBooks": false |
| }, |
| "benchmarks": [ |
| { |
| "name": "PersianMedQA (Persian)", |
| "score": "68.05", |
| "asOf": "2025-06", |
| "receipt": "paper", |
| "url": "https://arxiv.org/abs/2506.00250", |
| "benchmark": "PersianMedQA", |
| "metric": "accuracy", |
| "value": "68.05", |
| "unit": "percent", |
| "language": "fa", |
| "conditions": "zero-shot MCQ, Persian split (Fa), Table 4, arxiv:2506.00250", |
| "source": "https://arxiv.org/abs/2506.00250", |
| "publication": "https://arxiv.org/abs/2506.00250" |
| } |
| ], |
| "alefbaAxes": { |
| "scriptFidelity": 2, |
| "corpusLaw": 0, |
| "curriculumFit": 0, |
| "literaryDepth": 2, |
| "nativePreference": 0 |
| }, |
| "verifiedAt": "2026-08-13", |
| "gapTags": [ |
| "measured-evidence", |
| "medical-eval" |
| ] |
| }, |
| { |
| "id": "oscar-2201-corpus", |
| "kind": "dataset", |
| "class": "dataset", |
| "name": { |
| "en": "OSCAR-2201 (multilingual incl. Persian)", |
| "fa": "پیکرهٔ اسکار‑۲۲۰۱ (چندزبانه شامل فارسی)" |
| }, |
| "org": "OSCAR / INRIA", |
| "sizeB": null, |
| "license": "CC0-1.0", |
| "status": "verified", |
| "summary": { |
| "en": "Large multilingual web corpus with Persian (`fa`) shard — common pretrain source, not literary-grade alone.", |
| "fa": "مجموعهدادهٔ فارسی — منبع پیشآموزش رایج، نه کتابخانهٔ ادبی بهتنهایی." |
| }, |
| "links": { |
| "hf": "https://huggingface.co/datasets/oscar-corpus/OSCAR-2201" |
| }, |
| "origin": { |
| "base": null, |
| "persianTraining": null |
| }, |
| "script": { |
| "rtl": true, |
| "zwnj": "unknown", |
| "morphology": null |
| }, |
| "corpus": { |
| "class": "web-scrape-filtered", |
| "licensedBooks": false |
| }, |
| "benchmarks": [], |
| "alefbaAxes": { |
| "scriptFidelity": 1, |
| "corpusLaw": 0, |
| "curriculumFit": 0, |
| "literaryDepth": 0, |
| "nativePreference": null |
| }, |
| "verifiedAt": "2026-08-13", |
| "gapTags": [ |
| "instruction-data" |
| ] |
| }, |
| { |
| "id": "qwen3-class", |
| "kind": "model", |
| "class": "multilingual-frontier", |
| "name": { |
| "en": "Qwen3 class (proprietary / open mix)", |
| "fa": "ردهٔ کوئن۳" |
| }, |
| "org": "Alibaba", |
| "sizeB": null, |
| "license": "mixed", |
| "status": "verified", |
| "summary": { |
| "en": "Qwen3 family on Persian leaderboards; mix of open weights and API-only tiers.", |
| "fa": "جدول امتیاز عمومی برای مقایسهٔ مدلهای فارسی در معیارهای منتشرشده." |
| }, |
| "links": { |
| "web": "https://qwenlm.github.io/" |
| }, |
| "origin": { |
| "base": "Qwen", |
| "persianTraining": "multilingual-pretrain" |
| }, |
| "script": { |
| "rtl": true, |
| "zwnj": "partial", |
| "morphology": "partial" |
| }, |
| "corpus": { |
| "class": "mixed-web", |
| "licensedBooks": false |
| }, |
| "benchmarks": [], |
| "alefbaAxes": { |
| "scriptFidelity": 2, |
| "corpusLaw": 0, |
| "curriculumFit": 0, |
| "literaryDepth": 2, |
| "nativePreference": 0 |
| }, |
| "verifiedAt": "2026-08-13", |
| "gapTags": [ |
| "open-weights" |
| ] |
| }, |
| { |
| "id": "llama33-class", |
| "kind": "model", |
| "class": "multilingual-frontier", |
| "name": { |
| "en": "Llama 3.3 class (community + API)", |
| "fa": "ردهٔ لاما ۳٫۳" |
| }, |
| "org": "Meta", |
| "sizeB": null, |
| "license": "Llama-3.3-community", |
| "status": "measured", |
| "summary": { |
| "en": "Llama 3.3 instruct family — base for many Persian community fine-tunes including Dorna2.", |
| "fa": "خانوادهٔ لاما ۳٫۳ دستوری — پایهٔ بسیاری از فاینتیونهای فارسی از جمله درنا۲." |
| }, |
| "links": { |
| "hf": "https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct" |
| }, |
| "origin": { |
| "base": "Llama-3.3", |
| "persianTraining": "multilingual-pretrain" |
| }, |
| "script": { |
| "rtl": true, |
| "zwnj": "partial", |
| "morphology": "partial" |
| }, |
| "corpus": { |
| "class": "mixed-web", |
| "licensedBooks": false |
| }, |
| "benchmarks": [ |
| { |
| "name": "PersianMedQA (Persian)", |
| "score": "66.63", |
| "asOf": "2025-06", |
| "receipt": "paper", |
| "url": "https://arxiv.org/abs/2506.00250", |
| "benchmark": "PersianMedQA", |
| "metric": "accuracy", |
| "value": "66.63", |
| "unit": "percent", |
| "language": "fa", |
| "conditions": "zero-shot MCQ, Persian split (Fa), Table 4, arxiv:2506.00250", |
| "source": "https://arxiv.org/abs/2506.00250", |
| "publication": "https://arxiv.org/abs/2506.00250" |
| } |
| ], |
| "alefbaAxes": { |
| "scriptFidelity": 2, |
| "corpusLaw": 0, |
| "curriculumFit": 0, |
| "literaryDepth": 2, |
| "nativePreference": 0 |
| }, |
| "verifiedAt": "2026-08-13", |
| "gapTags": [ |
| "measured-evidence", |
| "medical-eval", |
| "open-weights" |
| ] |
| }, |
| { |
| "id": "wikimedia-fa-wikipedia", |
| "kind": "dataset", |
| "class": "dataset", |
| "name": { |
| "en": "Persian Wikipedia dump", |
| "fa": "دامپ ویکیپدیای فارسی" |
| }, |
| "org": "Wikimedia", |
| "sizeB": null, |
| "license": "CC-BY-SA-3.0", |
| "status": "verified", |
| "summary": { |
| "en": "Canonical open encyclopedia corpus for Persian NLP pretrain and QA dataset construction.", |
| "fa": "مجموعهدادهٔ فارسی — پیکرهٔ دانشنامهٔ باز مرجع برای پیشآموزش و ساخت دادهٔ پرسشوپاسخ فارسی." |
| }, |
| "links": { |
| "web": "https://dumps.wikimedia.org/fawiki/latest/" |
| }, |
| "origin": { |
| "base": null, |
| "persianTraining": null |
| }, |
| "script": { |
| "rtl": true, |
| "zwnj": "partial", |
| "morphology": "partial" |
| }, |
| "corpus": { |
| "class": "wikipedia", |
| "licensedBooks": false |
| }, |
| "benchmarks": [], |
| "alefbaAxes": { |
| "scriptFidelity": 2, |
| "corpusLaw": 2, |
| "curriculumFit": 2, |
| "literaryDepth": 2, |
| "nativePreference": null |
| }, |
| "verifiedAt": "2026-08-13", |
| "gapTags": [ |
| "instruction-data" |
| ] |
| }, |
| { |
| "id": "gpt-41-class", |
| "kind": "model", |
| "class": "multilingual-frontier", |
| "name": { |
| "en": "GPT-4.1 class (proprietary)", |
| "fa": "ردهٔ جیپیتی‑۴٫۱ (اختصاصی)" |
| }, |
| "org": "OpenAI", |
| "sizeB": null, |
| "license": "proprietary", |
| "status": "measured", |
| "summary": { |
| "en": "Frontier proprietary class; top PersianMedQA Persian accuracy in published eval (83.09%).", |
| "fa": "ردهٔ اختصاصی مرزی؛ بالاترین دقت فارسی در ارزیابی منتشرشدهٔ PersianMedQA." |
| }, |
| "links": { |
| "web": "https://platform.openai.com/docs" |
| }, |
| "origin": { |
| "base": "proprietary", |
| "persianTraining": "multilingual-pretrain" |
| }, |
| "script": { |
| "rtl": true, |
| "zwnj": "partial", |
| "morphology": "partial" |
| }, |
| "corpus": { |
| "class": "mixed-web", |
| "licensedBooks": false |
| }, |
| "benchmarks": [ |
| { |
| "name": "PersianMedQA (Persian)", |
| "score": "83.09", |
| "asOf": "2025-06", |
| "receipt": "paper", |
| "url": "https://arxiv.org/abs/2506.00250", |
| "benchmark": "PersianMedQA", |
| "metric": "accuracy", |
| "value": "83.09", |
| "unit": "percent", |
| "language": "fa", |
| "conditions": "zero-shot MCQ, Persian split (Fa), Table 4, arxiv:2506.00250", |
| "source": "https://arxiv.org/abs/2506.00250", |
| "publication": "https://arxiv.org/abs/2506.00250" |
| } |
| ], |
| "alefbaAxes": { |
| "scriptFidelity": 3, |
| "corpusLaw": 0, |
| "curriculumFit": 0, |
| "literaryDepth": 3, |
| "nativePreference": 1 |
| }, |
| "verifiedAt": "2026-08-13", |
| "gapTags": [ |
| "measured-evidence", |
| "medical-eval" |
| ] |
| }, |
| { |
| "id": "gemini-25-class", |
| "kind": "model", |
| "class": "multilingual-frontier", |
| "name": { |
| "en": "Gemini 2.5 class (proprietary)", |
| "fa": "ردهٔ جمینای ۲٫۵ (اختصاصی)" |
| }, |
| "org": "Google", |
| "sizeB": null, |
| "license": "proprietary", |
| "status": "measured", |
| "summary": { |
| "en": "Google frontier class evaluated on EPT Persian trustworthiness benchmark.", |
| "fa": "ردهٔ مرزی گوگل — ارزیابیشده در بنچمارک اعتمادپذیری فارسی EPT." |
| }, |
| "links": { |
| "web": "https://deepmind.google/technologies/gemini/" |
| }, |
| "origin": { |
| "base": "proprietary", |
| "persianTraining": "multilingual-pretrain" |
| }, |
| "script": { |
| "rtl": true, |
| "zwnj": "partial", |
| "morphology": "partial" |
| }, |
| "corpus": { |
| "class": "mixed-web", |
| "licensedBooks": false |
| }, |
| "benchmarks": [ |
| { |
| "name": "PersianMedQA (Persian)", |
| "score": "82.37", |
| "asOf": "2025-06", |
| "receipt": "paper", |
| "url": "https://arxiv.org/abs/2506.00250", |
| "benchmark": "PersianMedQA", |
| "metric": "accuracy", |
| "value": "82.37", |
| "unit": "percent", |
| "language": "fa", |
| "conditions": "zero-shot MCQ, Persian split (Fa), Table 4, arxiv:2506.00250", |
| "source": "https://arxiv.org/abs/2506.00250", |
| "publication": "https://arxiv.org/abs/2506.00250" |
| } |
| ], |
| "alefbaAxes": { |
| "scriptFidelity": 2, |
| "corpusLaw": 0, |
| "curriculumFit": 0, |
| "literaryDepth": 2, |
| "nativePreference": 1 |
| }, |
| "verifiedAt": "2026-08-13", |
| "gapTags": [ |
| "measured-evidence", |
| "medical-eval" |
| ] |
| }, |
| { |
| "id": "meditron3-8b", |
| "kind": "model", |
| "class": "adapted-instruct", |
| "name": { |
| "en": "Meditron3-8B", |
| "fa": "مدیترون۳‑۸بی" |
| }, |
| "org": "EPFL · Yale", |
| "sizeB": 8, |
| "license": "Llama-2-community", |
| "status": "measured", |
| "summary": { |
| "en": "Medical LLM family on Llama 2 — evaluated on PersianMedQA Persian split (39.70%).", |
| "fa": "خانوادهٔ مدل پزشکی روی لاما ۲ — ارزیابیشده در PersianMedQA فارسی (۳۹٫۷۰٪)." |
| }, |
| "links": { |
| "paper": "https://arxiv.org/abs/2311.16057", |
| "repo": "https://github.com/epfLLM/Meditron", |
| "hf": "https://huggingface.co/epfl-llm/meditron3-8b" |
| }, |
| "origin": { |
| "base": "Llama-2", |
| "persianTraining": "medical-domain-continued-pretrain" |
| }, |
| "script": { |
| "rtl": true, |
| "zwnj": "partial", |
| "morphology": "weak" |
| }, |
| "corpus": { |
| "class": "domain-medical", |
| "licensedBooks": false |
| }, |
| "benchmarks": [ |
| { |
| "name": "PersianMedQA (Persian)", |
| "score": "38.67", |
| "asOf": "2025-06", |
| "receipt": "paper", |
| "url": "https://arxiv.org/abs/2506.00250", |
| "benchmark": "PersianMedQA", |
| "metric": "accuracy", |
| "value": "38.67", |
| "unit": "percent", |
| "language": "fa", |
| "conditions": "zero-shot MCQ, Persian split (Fa), Table 4, arxiv:2506.00250", |
| "source": "https://arxiv.org/abs/2506.00250", |
| "publication": "https://arxiv.org/abs/2506.00250" |
| } |
| ], |
| "alefbaAxes": { |
| "scriptFidelity": 2, |
| "corpusLaw": 2, |
| "curriculumFit": null, |
| "literaryDepth": 1, |
| "nativePreference": 1 |
| }, |
| "verifiedAt": "2026-08-13", |
| "firstSeen": "2024-11", |
| "gapTags": [ |
| "instruct-stack", |
| "instruction-data", |
| "measured-evidence", |
| "medical-eval", |
| "open-weights", |
| "small-model" |
| ] |
| }, |
| { |
| "id": "biomistral-7b", |
| "kind": "model", |
| "class": "adapted-instruct", |
| "name": { |
| "en": "BioMistral-7B", |
| "fa": "بیومیسترال‑۷بی" |
| }, |
| "org": "BioMistral", |
| "sizeB": 7, |
| "license": "Apache-2.0", |
| "status": "measured", |
| "summary": { |
| "en": "Open biomedical instruct model on Mistral — multilingual medical QA baseline, not Persian-native.", |
| "fa": "مدل دستوری زیستپزشکی باز روی میسترال — خط پایهٔ پرسشوپاسخ پزشکی چندزبانه." |
| }, |
| "links": { |
| "hf": "https://huggingface.co/BioMistral/BioMistral-7B", |
| "paper": "https://arxiv.org/abs/2402.10373" |
| }, |
| "origin": { |
| "base": "Mistral-7B", |
| "persianTraining": "medical-domain-continued-pretrain" |
| }, |
| "script": { |
| "rtl": true, |
| "zwnj": "partial", |
| "morphology": "weak" |
| }, |
| "corpus": { |
| "class": "domain-medical", |
| "licensedBooks": false |
| }, |
| "benchmarks": [ |
| { |
| "name": "PersianMedQA (Persian)", |
| "score": "25.76", |
| "asOf": "2025-06", |
| "receipt": "paper", |
| "url": "https://arxiv.org/abs/2506.00250", |
| "benchmark": "PersianMedQA", |
| "metric": "accuracy", |
| "value": "25.76", |
| "unit": "percent", |
| "language": "fa", |
| "conditions": "zero-shot MCQ, Persian split (Fa), Table 4, arxiv:2506.00250", |
| "source": "https://arxiv.org/abs/2506.00250", |
| "publication": "https://arxiv.org/abs/2506.00250" |
| } |
| ], |
| "alefbaAxes": { |
| "scriptFidelity": 2, |
| "corpusLaw": 2, |
| "curriculumFit": null, |
| "literaryDepth": 1, |
| "nativePreference": 1 |
| }, |
| "verifiedAt": "2026-08-13", |
| "gapTags": [ |
| "instruct-stack", |
| "instruction-data", |
| "measured-evidence", |
| "medical-eval", |
| "open-weights", |
| "small-model" |
| ] |
| }, |
| { |
| "id": "gaokerena-v", |
| "kind": "model", |
| "class": "adapted-instruct", |
| "name": { |
| "en": "Gaokerena-V — Persian medical assistant", |
| "fa": "گاوکرنا‑وی، دستیار پزشکی فارسی" |
| }, |
| "org": "Gaokerena", |
| "sizeB": 8, |
| "license": "CC-BY-NC-SA-4.0", |
| "status": "verified", |
| "summary": { |
| "en": "First open Persian medical instruct model on Aya-Expanse-8B; 90M-token medical corpus + MF3QA physician Q&A.", |
| "fa": "نخستین مدل دستوری پزشکی فارسی باز روی آیا‑اکسپنس‑۸بی؛ پیکرهٔ ۹۰M توکن + MF3QA." |
| }, |
| "links": { |
| "paper": "https://arxiv.org/abs/2505.16000", |
| "repo": "https://github.com/Mehrdadghassabi/Gaokerena-V", |
| "hf": "https://huggingface.co/gaokerena/gaokerena-v1.0" |
| }, |
| "origin": { |
| "base": "aya-expanse-8b", |
| "persianTraining": "domain-SFT" |
| }, |
| "script": { |
| "rtl": true, |
| "zwnj": "partial", |
| "morphology": "partial" |
| }, |
| "corpus": { |
| "class": "domain-medical", |
| "licensedBooks": false |
| }, |
| "benchmarks": [], |
| "alefbaAxes": { |
| "scriptFidelity": 3, |
| "corpusLaw": 2, |
| "curriculumFit": null, |
| "literaryDepth": 1, |
| "nativePreference": 2 |
| }, |
| "verifiedAt": "2026-08-13", |
| "firstSeen": "2025-05", |
| "gapTags": [ |
| "instruct-stack", |
| "instruction-data", |
| "medical-eval", |
| "open-weights", |
| "small-model" |
| ] |
| }, |
| { |
| "id": "gaokerena-mf3qa", |
| "kind": "dataset", |
| "class": "dataset", |
| "name": { |
| "en": "MF3QA — Persian medical free-form QA", |
| "fa": "اماف۳کیوای، پرسشوپاسخ آزاد پزشکی فارسی" |
| }, |
| "org": "Gaokerena", |
| "sizeB": null, |
| "license": "see-repo", |
| "status": "verified", |
| "summary": { |
| "en": "~186k crawled medical QA pairs plus 20k expert-cleaned physician Q&A for Persian medical LLM training.", |
| "fa": "حدود ۱۸۶هزار جفت پرسشوپاسخ پزشکی خزیدهشده بهعلاوه ۲۰هزار جفت پاکسازیشدهٔ پزشک." |
| }, |
| "links": { |
| "repo": "https://github.com/Mehrdadghassabi/Gaokerena/tree/main/dataset/MF3QA", |
| "paper": "https://arxiv.org/abs/2505.16000", |
| "hf": "https://huggingface.co/datasets/gaokerena/MF3QA" |
| }, |
| "origin": { |
| "base": null, |
| "persianTraining": "instruction-SFT" |
| }, |
| "script": { |
| "rtl": true, |
| "zwnj": "partial", |
| "morphology": "partial" |
| }, |
| "corpus": { |
| "class": "domain-medical", |
| "licensedBooks": false |
| }, |
| "benchmarks": [], |
| "alefbaAxes": { |
| "scriptFidelity": 3, |
| "corpusLaw": 2, |
| "curriculumFit": null, |
| "literaryDepth": 1, |
| "nativePreference": 2 |
| }, |
| "verifiedAt": "2026-08-13", |
| "gapTags": [ |
| "medical-eval" |
| ] |
| }, |
| { |
| "id": "gemini-20-flash-class", |
| "kind": "model", |
| "class": "multilingual-frontier", |
| "name": { |
| "en": "Gemini 2.0 Flash class (proprietary)", |
| "fa": "ردهٔ جمینای ۲٫۰ فلش (اختصاصی)" |
| }, |
| "org": "Google", |
| "sizeB": null, |
| "license": "proprietary", |
| "status": "measured", |
| "summary": { |
| "en": "Google frontier flash tier — 76.86% Persian accuracy on PersianMedQA (Table 3 selective-answering baseline).", |
| "fa": "ردهٔ فلش مرزی گوگل — ۷۶٫۸۶٪ دقت فارسی در PersianMedQA." |
| }, |
| "links": { |
| "web": "https://deepmind.google/technologies/gemini/", |
| "paper": "https://arxiv.org/abs/2506.00250" |
| }, |
| "origin": { |
| "base": "proprietary", |
| "persianTraining": "multilingual-pretrain" |
| }, |
| "script": { |
| "rtl": true, |
| "zwnj": "partial", |
| "morphology": "partial" |
| }, |
| "corpus": { |
| "class": "proprietary", |
| "licensedBooks": false |
| }, |
| "benchmarks": [ |
| { |
| "name": "PersianMedQA (Persian)", |
| "score": "76.86", |
| "asOf": "2025-06", |
| "receipt": "paper", |
| "url": "https://arxiv.org/abs/2506.00250", |
| "benchmark": "PersianMedQA", |
| "metric": "accuracy", |
| "value": "76.86", |
| "unit": "percent", |
| "language": "fa", |
| "conditions": "selective-answering baseline, Persian split (Fa), Table 3, arxiv:2506.00250", |
| "source": "https://arxiv.org/abs/2506.00250", |
| "publication": "https://arxiv.org/abs/2506.00250" |
| } |
| ], |
| "alefbaAxes": { |
| "scriptFidelity": 2, |
| "corpusLaw": 0, |
| "curriculumFit": 0, |
| "literaryDepth": 2, |
| "nativePreference": 0 |
| }, |
| "verifiedAt": "2026-08-13", |
| "gapTags": [ |
| "measured-evidence", |
| "medical-eval" |
| ] |
| }, |
| { |
| "id": "llama-31-405b-class", |
| "kind": "model", |
| "class": "multilingual-frontier", |
| "name": { |
| "en": "Llama 3.1 405B class (open weights)", |
| "fa": "ردهٔ لاما ۳٫۱ ۴۰۵بی (وزن باز)" |
| }, |
| "org": "Meta", |
| "sizeB": 405, |
| "license": "Llama-3.1-community", |
| "status": "measured", |
| "summary": { |
| "en": "Best open-weight general model on PersianMedQA Persian split — 69.25% (paper §4).", |
| "fa": "بهترین مدل عمومی با وزن باز در PersianMedQA فارسی — ۶۹٫۲۵٪." |
| }, |
| "links": { |
| "hf": "https://huggingface.co/meta-llama/Llama-3.1-405B-Instruct", |
| "paper": "https://arxiv.org/abs/2407.21783" |
| }, |
| "origin": { |
| "base": "Llama-3.1", |
| "persianTraining": "multilingual-pretrain" |
| }, |
| "script": { |
| "rtl": true, |
| "zwnj": "partial", |
| "morphology": "partial" |
| }, |
| "corpus": { |
| "class": "mixed-web", |
| "licensedBooks": false |
| }, |
| "benchmarks": [ |
| { |
| "name": "PersianMedQA (Persian)", |
| "score": "67.02", |
| "asOf": "2025-06", |
| "receipt": "paper", |
| "url": "https://arxiv.org/abs/2506.00250", |
| "benchmark": "PersianMedQA", |
| "metric": "accuracy", |
| "value": "67.02", |
| "unit": "percent", |
| "language": "fa", |
| "conditions": "zero-shot MCQ, Persian split (Fa), Table 4, arxiv:2506.00250", |
| "source": "https://arxiv.org/abs/2506.00250", |
| "publication": "https://arxiv.org/abs/2506.00250" |
| } |
| ], |
| "alefbaAxes": { |
| "scriptFidelity": 2, |
| "corpusLaw": 0, |
| "curriculumFit": 0, |
| "literaryDepth": 2, |
| "nativePreference": 0 |
| }, |
| "verifiedAt": "2026-08-13", |
| "gapTags": [ |
| "measured-evidence", |
| "medical-eval", |
| "open-weights" |
| ] |
| }, |
| { |
| "id": "gemma-3-27b-it-class", |
| "kind": "model", |
| "class": "multilingual-frontier", |
| "name": { |
| "en": "Gemma 3 27B IT class", |
| "fa": "ردهٔ جمّا ۳ ۲۷بی دستوری" |
| }, |
| "org": "Google", |
| "sizeB": 27, |
| "license": "Gemma", |
| "status": "measured", |
| "summary": { |
| "en": "Google Gemma 3 instruct tier — 59.06% Persian accuracy on PersianMedQA (paper Table 3).", |
| "fa": "خانوادهٔ دستوری جمّا ۳ گوگل، ۵۹٫۰۶٪ دقت فارسی در PersianMedQA (جدول ۳ مقاله)." |
| }, |
| "links": { |
| "hf": "https://huggingface.co/google/gemma-3-27b-it", |
| "paper": "https://arxiv.org/abs/2506.00250" |
| }, |
| "origin": { |
| "base": "Gemma-3", |
| "persianTraining": "multilingual-pretrain" |
| }, |
| "script": { |
| "rtl": true, |
| "zwnj": "partial", |
| "morphology": "partial" |
| }, |
| "corpus": { |
| "class": "mixed-web", |
| "licensedBooks": false |
| }, |
| "benchmarks": [ |
| { |
| "name": "PersianMedQA (Persian)", |
| "score": "59.06", |
| "asOf": "2025-06", |
| "receipt": "paper", |
| "url": "https://arxiv.org/abs/2506.00250", |
| "benchmark": "PersianMedQA", |
| "metric": "accuracy", |
| "value": "59.06", |
| "unit": "percent", |
| "language": "fa", |
| "conditions": "selective-answering, Persian split (Fa), Table 3, arxiv:2506.00250", |
| "source": "https://arxiv.org/abs/2506.00250", |
| "publication": "https://arxiv.org/abs/2506.00250" |
| } |
| ], |
| "firstSeen": "2025-06", |
| "alefbaAxes": { |
| "scriptFidelity": 2, |
| "corpusLaw": 0, |
| "curriculumFit": 0, |
| "literaryDepth": 2, |
| "nativePreference": 0 |
| }, |
| "verifiedAt": "2026-08-13", |
| "gapTags": [ |
| "measured-evidence", |
| "medical-eval", |
| "open-weights" |
| ] |
| }, |
| { |
| "id": "open-ensemble-persianmedqa", |
| "kind": "model", |
| "class": "multilingual-frontier", |
| "name": { |
| "en": "Open-weight ensemble (PersianMedQA)", |
| "fa": "مجموعهٔ مدلهای باز (PersianMedQA)" |
| }, |
| "org": "PersianMedQA authors", |
| "sizeB": null, |
| "license": "see-paper", |
| "status": "measured", |
| "summary": { |
| "en": "Majority-vote ensemble of diverse open-weight families — 73.7% Persian on PersianMedQA (paper §4.4).", |
| "fa": "ترکیب رأیگیری چند خانوادهٔ مدل باز، ۷۳٫۷٪ دقت فارسی در PersianMedQA (بخش ۴٫۴ مقاله)." |
| }, |
| "links": { |
| "paper": "https://arxiv.org/abs/2506.00250", |
| "web": "https://mohammadjranjbar.github.io/PersianMedQA/" |
| }, |
| "origin": { |
| "base": "ensemble", |
| "persianTraining": "inference-only" |
| }, |
| "script": { |
| "rtl": true, |
| "zwnj": null, |
| "morphology": null |
| }, |
| "corpus": { |
| "class": "eval-benchmark", |
| "licensedBooks": false |
| }, |
| "benchmarks": [ |
| { |
| "name": "PersianMedQA (Persian)", |
| "score": "73.70", |
| "asOf": "2025-06", |
| "receipt": "paper", |
| "url": "https://arxiv.org/abs/2506.00250", |
| "benchmark": "PersianMedQA", |
| "metric": "accuracy", |
| "value": "73.70", |
| "unit": "percent", |
| "language": "fa", |
| "conditions": "zero-shot MCQ, Persian split (Fa), Table 4, arxiv:2506.00250", |
| "source": "https://arxiv.org/abs/2506.00250", |
| "publication": "https://arxiv.org/abs/2506.00250" |
| } |
| ], |
| "firstSeen": "2025-06", |
| "notes": "Not a single checkpoint — documented ensemble result from PersianMedQA evaluation.", |
| "alefbaAxes": { |
| "scriptFidelity": null, |
| "corpusLaw": null, |
| "curriculumFit": null, |
| "literaryDepth": null, |
| "nativePreference": null |
| }, |
| "verifiedAt": "2026-08-13", |
| "gapTags": [ |
| "measured-evidence", |
| "medical-eval" |
| ] |
| }, |
| { |
| "id": "qwen25-72b-instruct", |
| "kind": "model", |
| "class": "multilingual-frontier", |
| "name": { |
| "en": "Qwen 2.5 72B Instruct", |
| "fa": "کوئن ۲٫۵ ۷۲بی دستوری" |
| }, |
| "org": "Alibaba", |
| "sizeB": 72, |
| "license": "Apache-2.0", |
| "status": "measured", |
| "summary": { |
| "en": "Large open Qwen 2.5 instruct tier — 65.17% Persian accuracy on PersianMedQA (paper Table A).", |
| "fa": "خانوادهٔ دستوری باز کوئن ۲٫۵ ۷۲بی، ۶۵٫۱۷٪ دقت فارسی در PersianMedQA (جدول پیوست مقاله)." |
| }, |
| "links": { |
| "hf": "https://huggingface.co/Qwen/Qwen2.5-72B-Instruct", |
| "paper": "https://arxiv.org/abs/2506.00250" |
| }, |
| "origin": { |
| "base": "Qwen-2.5", |
| "persianTraining": "multilingual-pretrain" |
| }, |
| "script": { |
| "rtl": true, |
| "zwnj": "partial", |
| "morphology": "partial" |
| }, |
| "corpus": { |
| "class": "mixed-web", |
| "licensedBooks": false |
| }, |
| "benchmarks": [ |
| { |
| "name": "PersianMedQA (Persian)", |
| "score": "65.17", |
| "asOf": "2025-06", |
| "receipt": "paper", |
| "url": "https://arxiv.org/abs/2506.00250", |
| "benchmark": "PersianMedQA", |
| "metric": "accuracy", |
| "value": "65.17", |
| "unit": "percent", |
| "language": "fa", |
| "conditions": "zero-shot MCQ, Persian split (Fa), Table 4, arxiv:2506.00250", |
| "source": "https://arxiv.org/abs/2506.00250", |
| "publication": "https://arxiv.org/abs/2506.00250" |
| } |
| ], |
| "verifiedAt": "2026-08-13", |
| "firstSeen": "2024-09", |
| "gapTags": [ |
| "instruction-data", |
| "measured-evidence", |
| "medical-eval", |
| "open-weights" |
| ] |
| }, |
| { |
| "id": "mixtral-8x22b-instruct", |
| "kind": "model", |
| "class": "multilingual-frontier", |
| "name": { |
| "en": "Mixtral 8x22B Instruct", |
| "fa": "میکسترال ۸×۲۲بی دستوری" |
| }, |
| "org": "Mistral AI", |
| "sizeB": 141, |
| "license": "Apache-2.0", |
| "status": "measured", |
| "summary": { |
| "en": "Mistral sparse MoE instruct model — 36.78% Persian accuracy on PersianMedQA (paper Table A).", |
| "fa": "مدل دستوری MoE میسترال، ۳۶٫۷۸٪ دقت فارسی در PersianMedQA (جدول پیوست مقاله)." |
| }, |
| "links": { |
| "hf": "https://huggingface.co/mistralai/Mixtral-8x22B-Instruct-v0.1", |
| "paper": "https://arxiv.org/abs/2506.00250" |
| }, |
| "origin": { |
| "base": "Mixtral-8x22B", |
| "persianTraining": "multilingual-pretrain" |
| }, |
| "script": { |
| "rtl": true, |
| "zwnj": "partial", |
| "morphology": "partial" |
| }, |
| "corpus": { |
| "class": "mixed-web", |
| "licensedBooks": false |
| }, |
| "benchmarks": [ |
| { |
| "name": "PersianMedQA (Persian)", |
| "score": "36.78", |
| "asOf": "2025-06", |
| "receipt": "paper", |
| "url": "https://arxiv.org/abs/2506.00250", |
| "benchmark": "PersianMedQA", |
| "metric": "accuracy", |
| "value": "36.78", |
| "unit": "percent", |
| "language": "fa", |
| "conditions": "zero-shot MCQ, Persian split (Fa), Table 4, arxiv:2506.00250", |
| "source": "https://arxiv.org/abs/2506.00250", |
| "publication": "https://arxiv.org/abs/2506.00250" |
| } |
| ], |
| "verifiedAt": "2026-08-13", |
| "firstSeen": "2024-04", |
| "gapTags": [ |
| "instruction-data", |
| "measured-evidence", |
| "medical-eval", |
| "open-weights" |
| ] |
| }, |
| { |
| "id": "mistral-saba-class", |
| "kind": "model", |
| "class": "multilingual-frontier", |
| "name": { |
| "en": "Mistral Saba class (proprietary)", |
| "fa": "ردهٔ میسترال سابا (اختصاصی)" |
| }, |
| "org": "Mistral AI", |
| "sizeB": null, |
| "license": "proprietary", |
| "status": "measured", |
| "summary": { |
| "en": "Mistral Saba proprietary tier — 61.85% Persian accuracy on PersianMedQA (paper Table A).", |
| "fa": "خانوادهٔ اختصاصی میسترال سابا، ۶۱٫۸۵٪ دقت فارسی در PersianMedQA (جدول پیوست مقاله)." |
| }, |
| "links": { |
| "web": "https://mistral.ai/", |
| "paper": "https://arxiv.org/abs/2506.00250" |
| }, |
| "origin": { |
| "base": "proprietary", |
| "persianTraining": "multilingual-pretrain" |
| }, |
| "script": { |
| "rtl": true, |
| "zwnj": "partial", |
| "morphology": "partial" |
| }, |
| "corpus": { |
| "class": "mixed-web", |
| "licensedBooks": false |
| }, |
| "benchmarks": [ |
| { |
| "name": "PersianMedQA (Persian)", |
| "score": "61.85", |
| "asOf": "2025-06", |
| "receipt": "paper", |
| "url": "https://arxiv.org/abs/2506.00250", |
| "benchmark": "PersianMedQA", |
| "metric": "accuracy", |
| "value": "61.85", |
| "unit": "percent", |
| "language": "fa", |
| "conditions": "zero-shot MCQ, Persian split (Fa), Table 4, arxiv:2506.00250", |
| "source": "https://arxiv.org/abs/2506.00250", |
| "publication": "https://arxiv.org/abs/2506.00250" |
| } |
| ], |
| "verifiedAt": "2026-08-13", |
| "firstSeen": "2025-06", |
| "gapTags": [ |
| "measured-evidence", |
| "medical-eval" |
| ] |
| }, |
| { |
| "id": "meditron3-qwen25-7b", |
| "kind": "model", |
| "class": "adapted-instruct", |
| "name": { |
| "en": "Meditron3-Qwen2.5-7B", |
| "fa": "مدیترون۳‑کوئن۲٫۵‑۷بی" |
| }, |
| "org": "EPFL · Yale", |
| "sizeB": 7, |
| "license": "Apache-2.0", |
| "status": "measured", |
| "summary": { |
| "en": "Medical Meditron3 variant on Qwen 2.5 7B — 37.62% Persian accuracy on PersianMedQA (paper Table A).", |
| "fa": "نسخهٔ پزشکی مدیترون۳ روی کوئن ۲٫۵ ۷بی، ۳۷٫۶۲٪ دقت فارسی در PersianMedQA (جدول پیوست مقاله)." |
| }, |
| "links": { |
| "paper": "https://arxiv.org/abs/2506.00250", |
| "repo": "https://github.com/epfLLM/Meditron" |
| }, |
| "origin": { |
| "base": "Qwen-2.5-7B", |
| "persianTraining": "medical-domain-continued-pretrain" |
| }, |
| "script": { |
| "rtl": true, |
| "zwnj": "partial", |
| "morphology": "weak" |
| }, |
| "corpus": { |
| "class": "domain-medical", |
| "licensedBooks": false |
| }, |
| "benchmarks": [ |
| { |
| "name": "PersianMedQA (Persian)", |
| "score": "37.62", |
| "asOf": "2025-06", |
| "receipt": "paper", |
| "url": "https://arxiv.org/abs/2506.00250", |
| "benchmark": "PersianMedQA", |
| "metric": "accuracy", |
| "value": "37.62", |
| "unit": "percent", |
| "language": "fa", |
| "conditions": "zero-shot MCQ, Persian split (Fa), Table 4, arxiv:2506.00250", |
| "source": "https://arxiv.org/abs/2506.00250", |
| "publication": "https://arxiv.org/abs/2506.00250" |
| } |
| ], |
| "verifiedAt": "2026-08-13", |
| "firstSeen": "2025-06", |
| "gapTags": [ |
| "instruct-stack", |
| "instruction-data", |
| "measured-evidence", |
| "medical-eval", |
| "open-weights", |
| "small-model" |
| ] |
| }, |
| { |
| "id": "gpt-41-mini-class", |
| "kind": "model", |
| "class": "multilingual-frontier", |
| "name": { |
| "en": "GPT-4.1 Mini class (proprietary)", |
| "fa": "ردهٔ جیپیتی ۴.۱ مینی" |
| }, |
| "org": "OpenAI", |
| "sizeB": null, |
| "license": "proprietary", |
| "status": "measured", |
| "summary": { |
| "en": "OpenAI GPT-4.1 Mini tier on PersianMedQA Persian split (74.76%, paper Table 4).", |
| "fa": "ردهٔ GPT-4.1 Mini در PersianMedQA فارسی (۷۴٫۷۶٪، جدول ۴ مقاله)." |
| }, |
| "links": { |
| "web": "https://platform.openai.com/docs", |
| "paper": "https://arxiv.org/abs/2506.00250" |
| }, |
| "origin": { |
| "base": "GPT-4.1", |
| "persianTraining": "multilingual-pretrain" |
| }, |
| "benchmarks": [ |
| { |
| "name": "PersianMedQA (Persian)", |
| "benchmark": "PersianMedQA", |
| "metric": "accuracy", |
| "value": "74.76", |
| "score": "74.76", |
| "unit": "percent", |
| "language": "fa", |
| "conditions": "zero-shot MCQ, Persian split (Fa), Table 4, arxiv:2506.00250", |
| "asOf": "2025-06", |
| "receipt": "paper", |
| "source": "https://arxiv.org/abs/2506.00250", |
| "url": "https://arxiv.org/abs/2506.00250", |
| "publication": "https://arxiv.org/abs/2506.00250" |
| } |
| ], |
| "verifiedAt": "2026-08-16", |
| "gapTags": [ |
| "measured-evidence", |
| "medical-eval" |
| ] |
| }, |
| { |
| "id": "claude-35-haiku-class", |
| "kind": "model", |
| "class": "multilingual-frontier", |
| "name": { |
| "en": "Claude 3.5 Haiku class (proprietary)", |
| "fa": "ردهٔ کلود ۳.۵ هایکو" |
| }, |
| "org": "Anthropic", |
| "sizeB": null, |
| "license": "proprietary", |
| "status": "measured", |
| "summary": { |
| "en": "Anthropic Claude 3.5 Haiku on PersianMedQA Persian split (57.16%, paper Table 4).", |
| "fa": "کلود ۳.۵ هایکو در PersianMedQA فارسی (۵۷٫۱۶٪، جدول ۴ مقاله)." |
| }, |
| "links": { |
| "web": "https://www.anthropic.com/", |
| "paper": "https://arxiv.org/abs/2506.00250" |
| }, |
| "origin": { |
| "base": "Claude-3.5", |
| "persianTraining": "multilingual-pretrain" |
| }, |
| "benchmarks": [ |
| { |
| "name": "PersianMedQA (Persian)", |
| "benchmark": "PersianMedQA", |
| "metric": "accuracy", |
| "value": "57.16", |
| "score": "57.16", |
| "unit": "percent", |
| "language": "fa", |
| "conditions": "zero-shot MCQ, Persian split (Fa), Table 4, arxiv:2506.00250", |
| "asOf": "2025-06", |
| "receipt": "paper", |
| "source": "https://arxiv.org/abs/2506.00250", |
| "url": "https://arxiv.org/abs/2506.00250", |
| "publication": "https://arxiv.org/abs/2506.00250" |
| } |
| ], |
| "verifiedAt": "2026-08-16", |
| "gapTags": [ |
| "measured-evidence", |
| "medical-eval" |
| ] |
| }, |
| { |
| "id": "gemma-3-12b-it-class", |
| "kind": "model", |
| "class": "multilingual-frontier", |
| "name": { |
| "en": "Gemma 3 12B IT class", |
| "fa": "جمّا ۳ ۱۲بی دستوری" |
| }, |
| "org": "Google", |
| "sizeB": 12, |
| "license": "open-weights", |
| "status": "measured", |
| "summary": { |
| "en": "Gemma 3 12B instruct on PersianMedQA Persian split (52.22%, paper Table 4).", |
| "fa": "جمّا ۳ ۱۲بی دستوری در PersianMedQA فارسی (۵۲٫۲۲٪، جدول ۴ مقاله)." |
| }, |
| "links": { |
| "hf": "https://huggingface.co/google/gemma-3-12b-it", |
| "paper": "https://arxiv.org/abs/2506.00250" |
| }, |
| "origin": { |
| "base": "Gemma-3", |
| "persianTraining": "multilingual-pretrain" |
| }, |
| "benchmarks": [ |
| { |
| "name": "PersianMedQA (Persian)", |
| "benchmark": "PersianMedQA", |
| "metric": "accuracy", |
| "value": "52.22", |
| "score": "52.22", |
| "unit": "percent", |
| "language": "fa", |
| "conditions": "zero-shot MCQ, Persian split (Fa), Table 4, arxiv:2506.00250", |
| "asOf": "2025-06", |
| "receipt": "paper", |
| "source": "https://arxiv.org/abs/2506.00250", |
| "url": "https://arxiv.org/abs/2506.00250", |
| "publication": "https://arxiv.org/abs/2506.00250" |
| } |
| ], |
| "verifiedAt": "2026-08-16", |
| "gapTags": [ |
| "measured-evidence", |
| "medical-eval", |
| "open-weights", |
| "small-model" |
| ] |
| }, |
| { |
| "id": "cohere-command-r7b-class", |
| "kind": "model", |
| "class": "multilingual-frontier", |
| "name": { |
| "en": "Cohere Command R7B class", |
| "fa": "کوهیر کامند R7B" |
| }, |
| "org": "Cohere", |
| "sizeB": 7, |
| "license": "proprietary", |
| "status": "measured", |
| "summary": { |
| "en": "Cohere Command R7B on PersianMedQA Persian split (38.77%, paper Table 4).", |
| "fa": "کوهیر کامند R7B در PersianMedQA فارسی (۳۸٫۷۷٪، جدول ۴ مقاله)." |
| }, |
| "links": { |
| "web": "https://cohere.com/", |
| "paper": "https://arxiv.org/abs/2506.00250" |
| }, |
| "origin": { |
| "base": "Command-R", |
| "persianTraining": "multilingual-pretrain" |
| }, |
| "benchmarks": [ |
| { |
| "name": "PersianMedQA (Persian)", |
| "benchmark": "PersianMedQA", |
| "metric": "accuracy", |
| "value": "38.77", |
| "score": "38.77", |
| "unit": "percent", |
| "language": "fa", |
| "conditions": "zero-shot MCQ, Persian split (Fa), Table 4, arxiv:2506.00250", |
| "asOf": "2025-06", |
| "receipt": "paper", |
| "source": "https://arxiv.org/abs/2506.00250", |
| "url": "https://arxiv.org/abs/2506.00250", |
| "publication": "https://arxiv.org/abs/2506.00250" |
| } |
| ], |
| "verifiedAt": "2026-08-16", |
| "gapTags": [ |
| "measured-evidence", |
| "medical-eval", |
| "small-model" |
| ] |
| }, |
| { |
| "id": "mistral-nemo-instruct", |
| "kind": "model", |
| "class": "multilingual-frontier", |
| "name": { |
| "en": "Mistral Nemo Instruct", |
| "fa": "میسترال نمو دستوری" |
| }, |
| "org": "Mistral AI", |
| "sizeB": 12, |
| "license": "Apache-2.0", |
| "status": "measured", |
| "summary": { |
| "en": "Mistral Nemo instruct on PersianMedQA Persian split (36.23%, paper Table 4).", |
| "fa": "میسترال نمو دستوری در PersianMedQA فارسی (۳۶٫۲۳٪، جدول ۴ مقاله)." |
| }, |
| "links": { |
| "hf": "https://huggingface.co/mistralai/Mistral-Nemo-Instruct-2407", |
| "paper": "https://arxiv.org/abs/2506.00250" |
| }, |
| "origin": { |
| "base": "Mistral-Nemo", |
| "persianTraining": "multilingual-pretrain" |
| }, |
| "benchmarks": [ |
| { |
| "name": "PersianMedQA (Persian)", |
| "benchmark": "PersianMedQA", |
| "metric": "accuracy", |
| "value": "36.23", |
| "score": "36.23", |
| "unit": "percent", |
| "language": "fa", |
| "conditions": "zero-shot MCQ, Persian split (Fa), Table 4, arxiv:2506.00250", |
| "asOf": "2025-06", |
| "receipt": "paper", |
| "source": "https://arxiv.org/abs/2506.00250", |
| "url": "https://arxiv.org/abs/2506.00250", |
| "publication": "https://arxiv.org/abs/2506.00250" |
| } |
| ], |
| "verifiedAt": "2026-08-16", |
| "gapTags": [ |
| "measured-evidence", |
| "medical-eval", |
| "open-weights" |
| ] |
| } |
| ], |
| "gapMap": { |
| "en": [ |
| "No frontier-scale model whose first world is licensed Persian literature", |
| "Few native-rater preference loops at production scale", |
| "Literary register and book-memory evals remain sparse", |
| "Most open models are English-base adaptations under 15B", |
| "Medical QA evidence is thin outside PersianMedQA-style receipts", |
| "Few open models under 8B with citable public eval scores", |
| "Many rows still lack a published benchmark we can cite with asOf", |
| "Instruction data and SFT recipes are scattered across repos" |
| ], |
| "fa": [ |
| "هنوز مدل بزرگی نداریم که اولویت اولش ادبیات مجازدار فارسی باشد", |
| "نظرسنجی ارزیاب بومی در مقیاس محصول واقعی کم است", |
| "معیار سنجش سبک ادبی و حافظهٔ کتاب در فارسی هنوز پراکنده است", |
| "بیشتر مدلهای باز، نسخهٔ فارسیشدهٔ مدل انگلیسی زیر ۱۵ میلیارد پارامترند", |
| "شواهد پرسشوپاسخ پزشکی فارسی خارج از رسیدهای PersianMedQA کم است", |
| "مدل باز زیر ۸ میلیارد با نمرهٔ عمومی قابل استناد کم داریم", |
| "هنوز ردیفهای زیادی بدون معیار منتشرشده با تاریخ و منبع هستند", |
| "داده و دستور آموزش پراکنده بین مخازن مختلف پخش شده است" |
| ], |
| "tags": [ |
| "native-foundation", |
| "native-preference", |
| "literary-eval", |
| "instruct-stack", |
| "medical-eval", |
| "small-model", |
| "public-benchmark", |
| "instruction-data" |
| ] |
| }, |
| "stats": { |
| "total": 72, |
| "byKind": { |
| "model": 42, |
| "dataset": 24, |
| "leaderboard": 4, |
| "community-index": 2 |
| }, |
| "byClass": { |
| "adapted-instruct": 15, |
| "native-foundation": 1, |
| "multilingual-frontier": 22, |
| "encoder-only": 4, |
| "dataset": 24, |
| "leaderboard": 4, |
| "community-index": 2 |
| }, |
| "byStatus": { |
| "measured": 25, |
| "verified": 47 |
| } |
| } |
| } |
|
|
