We use cookies to ensure you get the best experience on our website
Inicio Explorar Axuda News
Rexistro Iniciar sesión
LAAC-LSCP
/
vandam-data
2
0
Fork 0
Ficheiros Incidencias 0 Pull Requests 0 Wiki

Sen descrición

Árbore: 9c39475ffd
Ramas Etiquetas
vandam-data
Lucas Gautheron 9c39475ffd plots %!s(int64=3) %!d(string=hai) anos
.datalad 0c530b24d1 childproject metadata %!s(int64=3) %!d(string=hai) anos
annotations 038871d96c cha annotations %!s(int64=3) %!d(string=hai) anos
extra bf41186107 first commit %!s(int64=3) %!d(string=hai) anos
metadata 038871d96c cha annotations %!s(int64=3) %!d(string=hai) anos
recordings 2c6fba10c8 convert recording to wav %!s(int64=3) %!d(string=hai) anos
scripts 9c39475ffd plots %!s(int64=3) %!d(string=hai) anos
.gitattributes bf41186107 first commit %!s(int64=3) %!d(string=hai) anos
README.md 77e4ca39c5 Improved installation instructions %!s(int64=3) %!d(string=hai) anos

README.md

VanDam Demo

VanDam, Mark (2018). VanDam Public Daylong HomeBank Corpus. doi:10.21415/T5388S.

Installation instructions

You need datalad and the datalad osf extension in order to install the dataset. They can be installed with:

pip install datalad datalad-osf

The next step is to clone the dataset :

datalad install https://github.com/LAAC-LSCP/vandam-daylong-demo.git
cd vandam-daylong-demo

Getting data

datalad get recordings # download all recordings
datalad get annotations # get annotations