doof-ferb/infore1_25hours

unofficial mirror of InfoRe Technology public dataset №1

official announcement: https://www.facebook.com/groups/j2team.community/permalink/1010834009248719/

25h, 14.9k samples, InfoRe paid a contractor to read text

official download: magnet:?xt=urn:btih:1cbe13fb14a390c852c016a924b4a5e879d85f41&dn=25hours.zip&tr=http%3A%2F%2Foffice.socials.vn%3A8725%2Fannounce

mirror: https://files.huylenguyen.com/25hours.zip

unzip password: BroughtToYouByInfoRe

pre-process: none

need to do: check misspelling

usage with HuggingFace:

# pip install -q "datasets[audio]"
from datasets import load_dataset
from torch.utils.data import DataLoader

dataset = load_dataset("doof-ferb/infore1_25hours", split="train", streaming=True)
dataset.set_format(type="torch", columns=["audio", "transcription"])
dataloader = DataLoader(dataset, batch_size=4)