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arXiv · 2302.00455

HunSum-1: an Abstractive Summarization Dataset for Hungarian

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.

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Botond Barta, Dorina Lakatos, Attila Nagy, Milán Konor Nyist, Judit Ács. 2023-02-01. HunSum-1: an Abstractive Summarization Dataset for Hungarian. https://arxiv.org/abs/2302.00455

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