datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Multitask-National-Speech-Corpus-v1Multitask-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.Multitask-National-Speech-Corpus-v1-extendSampling-Multitask-National-Speech-Corpus-v1
Sampling Multitask-National-Speech-Corpus-v1
Original dataset from https://huggingface.co/datasets/MERaLiON/Multitask-National-Speech-Corpus-v1, we only take Part 3 and do sampling.
how to prepare the dataset
huggingface-cli download \
mesolitica/Sampling-Multitask-National-Speech-Corpus-v1 \
--include "*.zip" \
--repo-type "dataset" \
--local-dir './'
wget… See the full description on the dataset page: https://huggingface.co/datasets/mesolitica/Sampling-Multitask-National-Speech-Corpus-v1.