| | --- |
| | 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](https://arxiv.org/abs/2402.13587). |
| |
|
| | # 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} |
| | } |
| | ``` |
