{
  "project": "ModelOps Research Lab",
  "release": "2.0.0",
  "dataset": "Academic Rhetorical Intent Mini v1.1",
  "source_type": "synthetic_curated",
  "train_count": 842,
  "test_count": 130,
  "challenge_count": 54,
  "run_type": "recomputed Node baselines",
  "methods": {
    "nb": {
      "iid": {
        "n": 130,
        "correct": 130,
        "accuracy": 1,
        "macroF1": 1
      },
      "challenge": {
        "n": 54,
        "correct": 40,
        "accuracy": 0.7407407407407407,
        "macroF1": 0.7362809928289805
      }
    },
    "word": {
      "iid": {
        "n": 130,
        "correct": 128,
        "accuracy": 0.9846153846153847,
        "macroF1": 0.9844877344877346
      },
      "challenge": {
        "n": 54,
        "correct": 39,
        "accuracy": 0.7222222222222222,
        "macroF1": 0.7061942959001782
      }
    },
    "char": {
      "iid": {
        "n": 130,
        "correct": 124,
        "accuracy": 0.9538461538461539,
        "macroF1": 0.9537925842273668
      },
      "challenge": {
        "n": 54,
        "correct": 38,
        "accuracy": 0.7037037037037037,
        "macroF1": 0.6836089069592907
      }
    },
    "hybrid": {
      "iid": {
        "n": 130,
        "correct": 127,
        "accuracy": 0.9769230769230769,
        "macroF1": 0.9767441860465116
      },
      "challenge": {
        "n": 54,
        "correct": 42,
        "accuracy": 0.7777777777777778,
        "macroF1": 0.7617571707045391
      }
    }
  }
}