scorer.py

VALID = {"coherent","incoherent"}

def score(predictions, references):
    ref = {r["uid"]: r for r in references}
    total = 0
    correct = 0
    invalid = 0

    for p in predictions:
        uid = p.get("uid")
        if uid not in ref:
            continue

        gt = ref[uid].get("ground_truth_label")
        if not gt:
            continue

        total += 1
        pred = str(p.get("model_response","")).strip().lower()

        if pred not in VALID:
            invalid += 1
            continue

        if pred == gt:
            correct += 1

    return {
        "accuracy": correct/total if total else 0.0,
        "n_scored": total,
        "invalid_rate": invalid/total if total else 0.0,
        "labels": ["coherent","incoherent"],
    }