Multitask-National-Speech-Corpus (MNSC v1) is derived from IMDA's NSC Corpus.

MNSC is a multitask speech understanding dataset derived and further annotated from IMDA NSC Corpus. It focuses on the knowledge of Singapore's local accent, localised terms, and code-switching.

• ASR: Automatic Speech Recognition
• SQA: Speech Question Answering
• SDS: Spoken Dialogue Summarization
• PQA: Paralinguistic Question Answering

from datasets import load_dataset
data = load_dataset('MERaLiON/Multitask-National-Speech-Corpus-v1', data_dir='ASR-PART1-Train')['train']

@article{wang2025advancing,
  title={Advancing Singlish Understanding: Bridging the Gap with Datasets and Multimodal Models},
  author={Wang, Bin and Zou, Xunlong and Sun, Shuo and Zhang, Wenyu and He, Yingxu and Liu, Zhuohan and Wei, Chengwei and Chen, Nancy F and Aw, AiTi},
  journal={arXiv preprint arXiv:2501.01034},
  year={2025}
}