datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
vai-speech-text-parallel
Vai Speech-Text Parallel Dataset
Dataset Description
This dataset contains 23286 parallel speech-text pairs for Vai, a language spoken primarily in Ghana. The dataset consists of audio recordings paired with their corresponding text transcriptions, making it suitable for automatic speech recognition (ASR) and text-to-speech (TTS) tasks.
Dataset Summary
Language: Vai - vai
Task: Speech Recognition, Text-to-Speech
Size: 23286 audio files > 1KB (small/corrupted… See the full description on the dataset page: https://huggingface.co/datasets/michsethowusu/vai-speech-text-parallel.vais1000
unofficial mirror of VAIS-1000
official announcement: https://vais.vn/vi/tai-ve/hts_for_vietnamese (dead)
mirror: https://github.com/undertheseanlp/text_to_speech/tree/run/data/vais1000/raw
small only 1h40min audio - 1 speaker (female northern accent) - 1k samples
pre-process: none
need to do: check misspelling, restore foreign words phonetised to vietnamese
usage with HuggingFace:
# pip install -q "datasets[audio]"
from datasets import load_dataset
from torch.utils.data import… See the full description on the dataset page: https://huggingface.co/datasets/doof-ferb/vais1000.MCIF
Dataset Description, Collection, and Source
MCIF (Multimodal Crosslingual Instruction Following) is a multilingual human-annotated benchmark
based on scientific talks that is designed to evaluate instruction-following in crosslingual,
multimodal settings over both short- and long-form inputs.
MCIF spans three core modalities -- speech, vision, and text -- and four diverse languages (English, German, Italian, and Chinese),
enabling a comprehensive evaluation of MLLMs'… See the full description on the dataset page: https://huggingface.co/datasets/vaishnavikedar4/MCIF.