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看了数据集里面的问题后(例如:query_148_0),发现里面答案部分(ground_truth),有些是写明了具体id号或地址,但是实际用户的问题中,未明确提到具体的id,试问模型回答时,怎么知道最受欢迎那个电影movie_id是299054(这个id号应该是随便写的吧?),怎么会做的到模型回答的这个movie_id跟你的答案一摸一样?如果是这样的,是不是模型很难得到高分?
The text was updated successfully, but these errors were encountered:
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看了数据集里面的问题后(例如:query_148_0),发现里面答案部分(ground_truth),有些是写明了具体id号或地址,但是实际用户的问题中,未明确提到具体的id,试问模型回答时,怎么知道最受欢迎那个电影movie_id是299054(这个id号应该是随便写的吧?),怎么会做的到模型回答的这个movie_id跟你的答案一摸一样?如果是这样的,是不是模型很难得到高分?
The text was updated successfully, but these errors were encountered: