The 2021 Tokyo Olympics Multilingual News Article Dataset
February 10, 2025 Β· Declared Dead Β· π arXiv.org
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Authors
Erik Novak, Erik Calcina, Dunja MladeniΔ, Marko Grobelnik
arXiv ID
2502.06648
Category
cs.IR: Information Retrieval
Cross-listed
cs.AI,
cs.CL
Citations
0
Venue
arXiv.org
Last Checked
4 months ago
Abstract
In this paper, we introduce a dataset of multilingual news articles covering the 2021 Tokyo Olympics. A total of 10,940 news articles were gathered from 1,918 different publishers, covering 1,350 sub-events of the 2021 Olympics, and published between July 1, 2021, and August 14, 2021. These articles are written in nine languages from different language families and in different scripts. To create the dataset, the raw news articles were first retrieved via a service that collects and analyzes news articles. Then, the articles were grouped using an online clustering algorithm, with each group containing articles reporting on the same sub-event. Finally, the groups were manually annotated and evaluated. The development of this dataset aims to provide a resource for evaluating the performance of multilingual news clustering algorithms, for which limited datasets are available. It can also be used to analyze the dynamics and events of the 2021 Tokyo Olympics from different perspectives. The dataset is available in CSV format and can be accessed from the CLARIN.SI repository.
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