Dataset · Hugging Face

WueNLP/sib-fleurs

Name: sib-fleurs
Creator: WueNLP
Keywords: task_categories:audio-classification, task_categories:automatic-speech-recognition, task_categories:audio-text-to-text, task_categories:text-to-speech, task_categories:question-answering, task_categories:document-question-answering, annotations_creators:found, language_creators:expert-generated, multilinguality:multilingual, language:ace, language:acm, language:acq, language:aeb, language:af, language:ajp

SIB-Fleurs SIB-Fleurs is a dataset suitable to evaluate Multilingual Spoken Language Understanding. For each utterance in Fleurs, the task is to determine the topic the utterance belongs to. The topics are: Science/Technology Travel Politics Sports Health Entertainment Geography Preliminary evaluations can be found at the bottom of the README. The preliminary results in full detail are available in ./results.csv*. Dataset creation This dataset processes and… See the full description on the dataset page: https://huggingface.co/datasets/WueNLP/sib-fleurs.

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Author / organization	WueNLP
Downloads	907 (as reported by Hugging Face)
Likes	16
Created	3 December 2024
Last updated at source	7 May 2025

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16 Oct 2026 Description: SIB-Fleurs SIB-Fleurs is a dataset suitable to evaluate Multilingual Spoken Language Understanding. For each utterance in Fleurs, the task is to determine the topic the utterance belongs to. The topics are: Science/Technology Travel Politic → SIB-Fleurs SIB-Fleurs is a dataset suitable to evaluate Multilingual Spoken Language Understanding. For each utterance in Fleurs, the task is to determine the topic the utterance belongs to. The topics are: Science/Technology Travel Politic

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