2M-BELEBELE: Highly Multilingual Speech and American Sign Language Comprehension Dataset

Marta R. Costa-jussà; Bokai Yu; Pierre Andrews; Belen Alastruey; Necati Cihan Camgoz; Joe Chuang; Jean Maillard; Christophe Ropers; Arina Turkantenko; Carleigh Wood

arXiv · 2412.08274

2M-BELEBELE: Highly Multilingual Speech and American Sign Language Comprehension Dataset

Marta R. Costa-jussà·Bokai Yu·Pierre Andrews·Belen Alastruey·Necati Cihan Camgoz·Joe Chuang·Jean Maillard·Christophe Ropers·Arina Turkantenko·Carleigh Wood

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Abstract

We introduce the first highly multilingual speech and American Sign Language (ASL) comprehension dataset by extending BELEBELE. Our dataset covers 74 spoken languages at the intersection of BELEBELE and FLEURS, and one sign language (ASL). We evaluate 2M-BELEBELE dataset for both 5-shot and zero-shot settings and across languages, the speech comprehension accuracy is ~ 2-3% average lower compared to reading comprehension.

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Marta R. Costa-jussà, Bokai Yu, Pierre Andrews, Belen Alastruey, Necati Cihan Camgoz, Joe Chuang, Jean Maillard, Christophe Ropers, Arina Turkantenko, Carleigh Wood. 2024-12-11. 2M-BELEBELE: Highly Multilingual Speech and American Sign Language Comprehension Dataset. https://arxiv.org/abs/2412.08274

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