tokenizer = get_chat_template(    tokenizer,    mapping={"role": "from", "content": "value", "user": "human", "assistant": "gpt"},    chat_template="chatml",)def apply_template(examples):    messages = examples["conversations"]    text = [tokenizer.apply_chat_template(message, tokenize=False, add_generation_prompt=False) for message in messages]    return {"text": text}dataset = load_dataset("mlabonne/FineTome-100k", split="train")dataset = dataset.map(apply_template, batched=True)