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license: cc-by-sa-4.0 |
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--- |
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# Dataset |
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## Topic-independent split |
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Topics are randomly selected in datasets. For a common purpose, we suggest THESE DATASETS. |
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* test_random.json |
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* training_random.json |
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* validation_random.json |
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# GitHub |
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* https://github.com/declare-lab/WikiDes/ |
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# Citation |
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## APA |
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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*. |
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## BibTeX |
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``` |
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@article{Ta_2022, |
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doi = {10.1016/j.inffus.2022.09.022}, |
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url = {https://doi.org/10.1016%2Fj.inffus.2022.09.022}, |
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year = 2022, |
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month = {sep}, |
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publisher = {Elsevier {BV}}, |
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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}, |
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title = {{WikiDes}: A Wikipedia-based dataset for generating short descriptions from paragraphs}, |
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journal = {Information Fusion}} |
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``` |
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# Paper links |
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* https://doi.org/10.1016%2Fj.inffus.2022.09.022 |
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* https://arxiv.org/abs/2209.13101 |
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# Contact |
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Hoang Thang Ta, [email protected] |
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