MD2T is a new setting for multimodal E-commerce Description generation based on structured keywords and images.

Our paper (LREC-COLING 2024): A Multimodal In-Context Tuning Approach for E-Commerce Product Description Generation.

MD2T Dataset Statistics

MD2T	Cases&Bags	Clothing	Home Appliances
#Train	18,711	200,000	86,858
#Dev	983	6,120	1,794
#Test	1,000	8,700	2,200
Avg_N #MP	5.41	6.57	5.48
Avg_L #MP	13.50	20.34	18.30
Avg_L #Desp	80.05	79.03	80.13

Table 1: The detailed statistics of MD2T. Avg_N and Avg_L represent the average number and length respectively. MP and Desp indicate the marketing keywords and description.

Cite our Work

@article{li2024multimodal,
  title={A Multimodal In-Context Tuning Approach for E-Commerce Product Description Generation},
  author={Li, Yunxin and Hu, Baotian and Luo, Wenhan and Ma, Lin and Ding, Yuxin and Zhang, Min},
  journal={arXiv preprint arXiv:2402.13587},
  year={2024}
}