Taxi1500: A Dataset for Multilingual Text Classification in 1500 Languages (2025.naacl-short)
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| Challenge: | a large-scale text classification dataset encompassing 1504 languages is needed to address this gap . low-resource languages are often overlooked due to the scarcity of evaluation datasets. |
| Approach: | They propose to use translations of the Bible to construct a large-scale text classification dataset that covers 1504 languages and annotate them using crowdsourcing. |
| Outcome: | The proposed dataset covers 1504 languages and is available to the public. |
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