# Sentence Position Prediction Dataset ### Data Example ``` { "story": "为了证明自己看见了这一切,路过银树林时,守望星折了一根小树枝。[MASK]丽娜听到树枝折断的声音时,回头问:“什么声音?”[MASK]“什么声音也没有。”[MASK]她的大姐说,“可能是哪座城堡的塔楼里,猫头鹰在叫唤。”[MASK]她讲话的时候,迈克悄悄地溜到前头,上了楼梯,第一个进了公主们的房间。[MASK]他推开窗户,顺着藤条滑了下去。[MASK]到花园的时候,太阳刚刚开始升起,他要开始工作了。[MASK]这一天,迈克捆扎鲜花的时候,故意把那根银色的树枝扎进了献给小公主的花里。[MASK]不过,她没有告诉姐姐们。", "sentence": "丽娜发现银树枝时,吃惊极了。", "label": 8 } ``` - "Story" (`str`):input story,`` means the candidate position - "sentence" (`str`):the removed sentence - "label" (`int`): label=$l$ means the $l$-th position is correct. ### Evaluation The prediction result should have the same format with `test.jsonl` ```shell python eval.py prediction_file test.jsonl ``` We use accuracy as the evaluation metric. The output of the script `eval.py` is a dictionary as follows: ```python {"accuracy": _} ```