HunSum-1: an Abstractive Summarization Dataset for Hungarian

Botond Barta, Dorina Lakatos, Attila Nagy, Milán Konor Nyist, Judit Ács
2/1/2023
cs.CL

No official code found. Best implementation: botondbarta/HunSum (11 stars, last commit 2024-05-29).

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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Code Implementations(1)

botondbarta/HunSumCommunity100%

Complimentary code for our paper From News to Summaries: Building a Hungarian Corpus for Extractive and Abstractive Summarization

110HTML, ShellJul 12, 20222 years ago
abstractive-summarizationextractive-summarizationhungariansummarization

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Cite this paper

@article{barta2023hunsum,
  title  = {HunSum-1: an Abstractive Summarization Dataset for Hungarian},
  author = {Botond Barta and Dorina Lakatos and Attila Nagy and Milán Konor Nyist and Judit Ács},
  year   = {2023},
  eprint = {2302.00455},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2302.00455v1}
}

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