diff --git "a/reference-manifest.json" "b/reference-manifest.json"
new file mode 100644--- /dev/null
+++ "b/reference-manifest.json"
@@ -0,0 +1,3897 @@
+{
+  "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 ویکی‌پ��یای 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": "به��رین 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
+    }
+  }
+}