Function load_jsonl

bench/embedding_experiment.py:24–31

(path: str)

def load_jsonl(path: str) -> list[dict]:
    cases = []
    with open(path, "r", encoding="utf-8") as f:
        for line in f:
            line = line.strip()
            if line:
                cases.append(json.loads(line))
    return cases


def extract_handcrafted_features(prompt: str, system_prompt: str | None = None) -> np.ndarray: