MD2T / README.md
YunxinLi's picture
Update README.md
4687984 verified
metadata
license: apache-2.0
task_categories:
  - text-generation
language:
  - zh
pretty_name: MD2T
size_categories:
  - 100K<n<1M

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}
}