metadata
license: cc-by-sa-4.0
Dataset
Topic-independent split
Topics are randomly selected in datasets. For a common purpose, we suggest THESE DATASETS.
- test_random.json
- training_random.json
- validation_random.json
GitHub
Citation
APA
Ta, H. T., Rahman, A. B. S., Majumder, N., Hussain, A., Najjar, L., Howard, N., ... & Gelbukh, A. (2022). WikiDes: A Wikipedia-based dataset for generating short descriptions from paragraphs. Information Fusion.
BibTeX
@article{Ta_2022,
doi = {10.1016/j.inffus.2022.09.022},
url = {https://doi.org/10.1016%2Fj.inffus.2022.09.022},
year = 2022,
month = {sep},
publisher = {Elsevier {BV}},
author = {Hoang Thang Ta and Abu Bakar Siddiqur Rahman and Navonil Majumder and Amir Hussain and Lotfollah Najjar and Newton Howard and Soujanya Poria and Alexander Gelbukh},
title = {{WikiDes}: A Wikipedia-based dataset for generating short descriptions from paragraphs},
journal = {Information Fusion}}
Paper links
Contact
Hoang Thang Ta, tahoangthang@gmail.com