{
  "apiVersion": "v1",
  "methodology": "https://sourcescore.org/methodology/",
  "canonical": "https://sourcescore.org/claims/cccd161dd058a31e/",
  "claim": {
    "vertical": "ai-ml",
    "subject": "MTEB benchmark",
    "predicate": "introduced_in",
    "object": "Muennighoff et al. 2022 — Massive Text Embedding Benchmark",
    "confidence": 1,
    "sources": [
      {
        "url": "https://arxiv.org/abs/2210.07316",
        "title": "MTEB: Massive Text Embedding Benchmark",
        "publisher": "arXiv (Muennighoff, Tazi, Magne, Reimers / Hugging Face + ContextualAI)",
        "publishedDate": "2022-10-13",
        "accessedDate": "2026-05-16",
        "type": "preprint",
        "excerpt": "Text embeddings are commonly evaluated on a small set of datasets from a single task not covering their possible applications to other tasks. It is unclear whether state-of-the-art embeddings on semantic textual similarity (STS) can be equally well applied to other tasks like clustering or reranking."
      },
      {
        "url": "https://huggingface.co/spaces/mteb/leaderboard",
        "title": "MTEB Leaderboard — live ranking on Hugging Face",
        "publisher": "Hugging Face / MTEB community",
        "publishedDate": "2022-10-13",
        "accessedDate": "2026-05-16",
        "type": "official-blog"
      }
    ],
    "publishedAt": "2026-05-16T00:00:00Z",
    "lastVerified": "2026-05-16",
    "methodologyVersion": "veritas-v0.1",
    "tags": [
      "mteb",
      "benchmark",
      "embeddings",
      "huggingface",
      "evaluation",
      "2022",
      "introduced_in"
    ],
    "id": "cccd161dd058a31e",
    "statement": "MTEB benchmark introduced in: Muennighoff et al. 2022 — Massive Text Embedding Benchmark."
  },
  "signature": {
    "algorithm": "HMAC-SHA256",
    "signedBy": "did:web:sourcescore.org",
    "signedAt": "2026-05-17T00:00:00.000Z",
    "signature": "e646bba98a7f525c29a011c625c30db112104b73ba820ba049ed5f312a4c45e2"
  },
  "citedAs": "MTEB benchmark introduced in: Muennighoff et al. 2022 — Massive Text Embedding Benchmark. — SourceScore Claim cccd161dd058a31e (verified 2026-05-16, signed e646bba9…). https://sourcescore.org/claims/cccd161dd058a31e/"
}