Papers › Dataset for Automatic Summarization of Russian News

Dataset for Automatic Summarization of Russian News

19 Jun 2020arXiv:2006.11063archive 2025-07-28

Ilya Gusev

Automatic text summarization has been studied in a variety of domains and languages. However, this does not hold for the Russian language. To overcome this issue, we present Gazeta, the first dataset for summarization of Russian news. We describe the properties of this dataset and benchmark several extractive and abstractive models. We demonstrate that the dataset is a valid task for methods of text summarization for Russian. Additionally, we prove the pretrained mBART model to be useful for Russian text summarization.

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Code

IlyaGusev/gazeta officialmentioned in papermentioned on GitHub report
IlyaGusev/summarus officialmentioned in papermentioned on GitHubpytorchApache-2.0 report

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Tasks

Text Summarization

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Datasets

Introduced by this paper, per the archive.

Gazeta

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Text Summarization Gazeta Finetuned mBART BLEU 12.4 #1 of 1 Archive leaderboard report
Text Summarization Gazeta Finetuned mBART Meteor 25.7 #1 of 1 Archive leaderboard report
Text Summarization Gazeta Finetuned mBART ROUGE-1 32.1 #1 of 1 Archive leaderboard report
Text Summarization Gazeta Finetuned mBART ROUGE-2 14.2 #1 of 1 Archive leaderboard report
Text Summarization Gazeta Finetuned mBART ROUGE-L 27.9 #1 of 1 Archive leaderboard report

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Methods

mBART

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