SHIFT15M
收藏arXiv2025-09-30 收录
下载链接：
https://github.com/st-tech/zozo-shift15m/tree/main/benchmarks
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资源简介：
该数据集名为SHIFT15M，专为评估在集合到集合匹配场景中的模型而设计。它包含了总共250万个集合和1500万件时尚单品。此外，该数据集允许通过调整变化幅度来评估不同数据偏移级别的模型表现，其规模达到了250万个集合和1500万件时尚单品。该数据集的任务是评估在分布偏移下的模型性能。
The dataset named SHIFT15M is specifically designed for evaluating models in set-to-set matching scenarios. It comprises a total of 2.5 million sets and 15 million fashion items. Moreover, this dataset allows for the evaluation of model performance across different levels of data distribution shift by adjusting the shift magnitude, while retaining the same scale of 2.5 million sets and 15 million fashion items. The core task of this dataset is to assess model performance under distribution shifts.
