# Cloze Test Dataset ### Data Example ``` { "story": "一只猫望着窗外飞翔的鸟儿馋涎欲滴,但自己又捕捉不到。于是它便想了一个法子。它给那些鸟儿们寄去请柬,邀请他们来参加自己的生日宴会。鸟儿一进来,猫就关上了门。鸟儿们彻底入了虎穴,被猫一只一只抓来吃掉了。", "plot0": "可是没有一只鸟儿愿意来。", "plot1": "有些单纯的鸟儿赴宴来了。", "label": "1" } ``` - "story" (`str`):input story,`` means the removed sentence - "plot0" (`str`):candidate #0 - "plot1" (`str`):candidate #1 - "label" (`str`): 0 means candidate #0 is correct, while 1 means candidate #1 is correct. ### Citation ``` @misc{guan2021lot, title={LOT: A Benchmark for Evaluating Chinese Long Text Understanding and Generation}, author={Jian Guan and Zhuoer Feng and Yamei Chen and Ruilin He and Xiaoxi Mao and Changjie Fan and Minlie Huang}, year={2021}, eprint={2108.12960}, archivePrefix={arXiv}, primaryClass={cs.CL} } ``` ### 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": _} ```