LCS
收藏arXiv2025-09-30 收录
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https://github.com/Arthur-Heng/Spoiler-Detection
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资源简介：
该数据集是我们提出的大规模自动剧透检测数据集LCS，用于评估MVSD模型及基准方法。该数据集按照7:2:1的比例分为训练集、验证集和测试集，属于大规模数据集，其任务是检测电影评论中的剧透内容。
The large-scale automatic spoiler detection dataset LCS proposed by us is designed to evaluate the MVSD model and baseline methods. It is divided into training, validation and test sets at a ratio of 7:2:1, and as a large-scale dataset, its task is to detect spoiler content in movie reviews.
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