Is anyone aware of classification (e.g. word prediction) datasets for low-resource and endangered languages? If so, we would like to use it for the HEAR NeurIP

Is anyone aware of classification (e.g. word prediction) datasets for low-resource and endangered languages? If so, we would like to use it for the HEAR NeurIPS competition: https://github.com/microsoft/DNS-Challenge/tree/master/datasets_fullband/noise_fullband https://github.com/microsoft/DNS-Challenge/tree/master/datas... The challenge is restricted only to classification tasks, and sequence modeling like full ASR is unfortunately beyond the scope of the competition.