MERaLiON/Multitask-National-Speech-Corpus-v1
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 =… See the full description on the dataset page: https://huggingface.co/datasets/MERaLiON/Multitask-National-Speech-Corpus-v1.
| Author / organization | MERaLiON |
|---|---|
| Downloads | 4.8K (as reported by Hugging Face) |
| Likes | 22 |
| Created | 28 November 2024 |
| Last updated at source | 21 January 2025 |
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Connected in the knowledge graph
- MERaLiON/MERaLiON-3-10BModel · used to train
- MERaLiON/MERaLiON-2-10B-ASRModel · used to train
- MERaLiON/MERaLiON-2-10BModel · used to train
- MERaLiON/MERaLiON-2-3BModel · used to train
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