[
  {
    "id": "lilt",
    "version": "0.1.0",
    "stage": "research",
    "bytes": 150048,
    "sha256": "6ed25e6ad7de36bcdce12b99c2a11bffd43a58e891c7f6595e9eaf6cf1d770d4",
    "trainExamples": 64,
    "testExamples": 16,
    "correct": 15,
    "accuracy": 0.9375,
    "evaluationScope": "Internal smoke test only; not a real-world benchmark",
    "limitations": "Authored multilingual sentences; last two sentences per language held out. Eight supported languages only.",
    "labels": [
      "English",
      "Spanish",
      "French",
      "German",
      "Italian",
      "Portuguese",
      "Hindi",
      "Japanese"
    ],
    "kind": "text-nb",
    "license": "MIT"
  },
  {
    "id": "sprig",
    "version": "0.1.0",
    "stage": "research",
    "bytes": 32065,
    "sha256": "040bbf25067e2b3efac9f8767e07fcd03c2bd4401466c3c44797591e5f9abe00",
    "trainExamples": 48,
    "testExamples": 12,
    "correct": 9,
    "accuracy": 0.75,
    "evaluationScope": "Internal smoke test only; not a real-world benchmark",
    "limitations": "Authored English topic sentences; last two per topic held out. Six fixed categories.",
    "labels": [
      "Technology",
      "Science",
      "Finance",
      "Sports",
      "Arts",
      "Everyday"
    ],
    "kind": "text-nb",
    "license": "MIT"
  },
  {
    "id": "tinge",
    "version": "0.1.0",
    "stage": "research",
    "bytes": 12689,
    "sha256": "4d0da8b7a23077c5bdb16c5415cb734a7c39e53e79f71ace1e624387cf34c155",
    "trainExamples": 39,
    "testExamples": 6,
    "correct": 5,
    "accuracy": 0.8333,
    "evaluationScope": "Internal smoke test only; not a real-world benchmark",
    "limitations": "Authored English sentiment sentences; last two per label held out. Negation and sarcasm are not reliably handled.",
    "labels": [
      "Positive",
      "Negative",
      "Neutral"
    ],
    "kind": "text-nb",
    "license": "MIT"
  },
  {
    "id": "hush",
    "version": "0.1.0",
    "stage": "research",
    "bytes": 341,
    "sha256": "0b797537dcb4e3c016f6ebae2bc64898ccd727bb042b999c078b45ef702913c3",
    "trainExamples": 240,
    "testExamples": 60,
    "correct": 60,
    "accuracy": 1.0,
    "evaluationScope": "Internal smoke test only; not a real-world benchmark",
    "limitations": "Synthetic harmonic, noise and silence signals. Voice-like is not validated speech detection; no real speech benchmark.",
    "labels": [
      "Voice-like",
      "Other"
    ],
    "kind": "audio-gaussian",
    "license": "MIT"
  },
  {
    "id": "tock",
    "version": "0.1.0",
    "stage": "research",
    "bytes": 539,
    "sha256": "a0028441498d2359df59d9a4f13b897aecc24f66d41d2ca7e93e67bf80fa8996",
    "trainExamples": 480,
    "testExamples": 120,
    "correct": 120,
    "accuracy": 1.0,
    "evaluationScope": "Internal smoke test only; not a real-world benchmark",
    "limitations": "Procedural tone, pulse, noise and silence signals with held-out random seeds. Does not identify real-world sound events.",
    "labels": [
      "Tone",
      "Pulse",
      "Noise",
      "Silence"
    ],
    "kind": "audio-gaussian",
    "license": "MIT"
  },
  {
    "id": "glyph",
    "version": "0.1.0",
    "stage": "research",
    "bytes": 12703,
    "sha256": "0330b3fd31a02270d85143dee2b08831080bc874ec9bcc9116f4ca2e0e452838",
    "trainExamples": 480,
    "testExamples": 120,
    "correct": 119,
    "accuracy": 0.9917,
    "evaluationScope": "Internal smoke test only; not a real-world benchmark",
    "limitations": "Procedural upright strokes with held-out random seeds. Does not recognize objects in photographs or arbitrary rotated shapes.",
    "labels": [
      "Circle",
      "Square",
      "Triangle",
      "Line"
    ],
    "kind": "shape-centroid",
    "license": "MIT"
  }
]