[2302.00455] HunSum-1: an Abstractive Summarization Dataset for Hungarian
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Computer Science > Computation and Language

arXiv:2302.00455 (cs)
[Submitted on 1 Feb 2023]

Title:HunSum-1: an Abstractive Summarization Dataset for Hungarian

Authors:Botond Barta, Dorina Lakatos, Attila Nagy, Milán Konor Nyist, Judit Ács
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Abstract:We introduce HunSum-1: a dataset for Hungarian abstractive summarization, consisting of 1.14M news articles. The dataset is built by collecting, cleaning and deduplicating data from 9 major Hungarian news sites through CommonCrawl. Using this dataset, we build abstractive summarizer models based on huBERT and mT5. We demonstrate the value of the created dataset by performing a quantitative and qualitative analysis on the models' results. The HunSum-1 dataset, all models used in our experiments and our code are available open source.
Subjects: Computation and Language (cs.CL)
Cite as: arXiv:2302.00455 [cs.CL]
  (or arXiv:2302.00455v1 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2302.00455

Submission history

From: Attila Nagy [view email]
[v1] Wed, 1 Feb 2023 13:59:45 UTC (55 KB)
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