The 2021 Tokyo Olympics Multilingual News Article Dataset
This dataset addresses the lack of available resources for evaluating multilingual news clustering algorithms, which is an incremental contribution to the field of natural language processing.
The authors introduced a dataset of 10,940 multilingual news articles covering the 2021 Tokyo Olympics, gathered from 1,918 publishers across nine languages, to provide a resource for evaluating multilingual news clustering algorithms and analyzing Olympic events.
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.