Russian-Language Multimodal Dataset for Automatic Summarization of Scientific Papers
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Abstract (arXiv)
The paper discusses the creation of a multimodal dataset of Russian-language scientific papers and testing of existing language models for the task of automatic text summarization. A feature of the dataset is its multimodal data, which includes texts, tables and figures. The paper presents the results of experiments with two language models: Gigachat from SBER and YandexGPT from Yandex. The dataset consists of 420 papers and is publicly available on https://github.com/iis-research-team/summarization-dataset.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 19 of its 28 references that are in the map. First posted on arXiv 13 May 2024.
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References · 19
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7 more
- 2020MLSUM: The Multilingual Summarization Corpuscited by 121
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