About
The M5Product dataset is a large-scale multi-modal pre-training dataset with coarse and fine-grained annotations for E-products.
• 6 Million multi-modal samples, 5k properties with 24 Million values
• 5 modalities-image text table video audio
• 6 Million category annotations with 6k classes
• Wide data source (1 Million merchants provide)
Sampler
The data acquisition page is shown as follows.
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Examples
Citation
If you find our dataset useful in your research, please consider citing:
@ARTICLE{2021arXiv210904275D
title={M5Product: Self-harmonized Contrastive Learning for E-commercial Multi-modal Pretraining},
author={Xiao Dong and Xunlin Zhan and Yangxin Wu and Yunchao Wei and Michael C. Kampffmeyer and Xiaoyong Wei and Minlong Lu and Yaowei Wang and Xiaodan Liang},
year={2021},
eprint={2109.04275},
journal = {arXiv e-prints},
year={2021},
}
Annoucement
2021/09/2 Initial release.
2022/03/12 Update.
Organization
SYSU, BJTU, UiT, PengCheng Lab, Alibaba Group.