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Árbore: fb9fa34e9b
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vandam-data
LPeurey fb9fa34e9b correct typo in format <chat> hai 11 meses
.datalad 0c530b24d1 childproject metadata %!s(int64=3) %!d(string=hai) anos
annotations 1dcc4650d7 imported modified aligned-cha.csv %!s(int64=2) %!d(string=hai) anos
extra bf41186107 first commit %!s(int64=3) %!d(string=hai) anos
metadata fb9fa34e9b correct typo in format <chat> hai 11 meses
recordings 2c6fba10c8 convert recording to wav %!s(int64=3) %!d(string=hai) anos
.gitattributes bf41186107 first commit %!s(int64=3) %!d(string=hai) anos
README.md 266a95bf68 minor fix %!s(int64=2) %!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 in order to install the dataset. They can be installed with:

pip install datalad

The next step is to clone the dataset :

datalad install git@gin.g-node.org:/LAAC-LSCP/vandam-data.git
cd vandam-data

Getting data

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