At the center of the underlying issues that halt Indonesian natural language
processing (NLP) research advancement, we find data scarcity. Resources in
Indonesian languages, especially the local ones, are extremely scarce and
underrepresented. Many Indonesian researchers do not publish their dataset.
Furthermore, the few public datasets that we have are scattered across
different platforms, thus makes performing reproducible and data-centric
research in Indonesian NLP even more arduous. Rising to this challenge, we
initiate the first Indonesian NLP crowdsourcing effort, NusaCrowd. NusaCrowd
strives to provide the largest datasheets aggregation with standardized data
loading for NLP tasks in all Indonesian languages. By enabling open and
centralized access to Indonesian NLP resources, we hope NusaCrowd can tackle
the data scarcity problem hindering NLP progress in Indonesia and bring NLP
practitioners to move towards collaboration.

本研究旨在探讨印度尼西亚自然语言处理领域的数据稀缺问题，并提出了一种名为 NusaCrowd 的众包方法，通过聚合印尼语系的数据资源来加强该领域的研究。