Spaces:
Sleeping
Sleeping
File size: 2,357 Bytes
05d3571 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 |
#!/bin/bash
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
#
# LASER Language-Agnostic SEntence Representations
# is a toolkit to calculate multilingual sentence embeddings
# and to use them for document classification, bitext filtering
# and mining
#
#-------------------------------------------------------
#
# This bash script installs the flores200 dataset, downloads laser2, and then
# performs xsim (multilingual similarity) evaluation with ratio margin
if [ -z ${LASER} ] ; then
echo "Please set the environment variable 'LASER'"
exit
fi
ddir="${LASER}/data"
cd $ddir # move to data directory
if [ ! -d $ddir/flores200 ] ; then
echo " - Downloading flores200..."
wget --trust-server-names -q https://tinyurl.com/flores200dataset
tar -xf flores200_dataset.tar.gz
/bin/mv flores200_dataset flores200
/bin/rm flores200_dataset.tar.gz
else
echo " - flores200 already downloaded"
fi
mdir="${LASER}/models"
if [ ! -d ${mdir} ] ; then
echo " - creating model directory: ${mdir}"
mkdir -p ${mdir}
fi
function download {
file=$1
if [ -f ${mdir}/${file} ] ; then
echo " - ${mdir}/$file already downloaded";
else
echo " - Downloading $s3/${file}";
wget -q $s3/${file};
fi
}
cd $mdir # move to model directory
# available encoders
s3="https://dl.fbaipublicfiles.com/nllb/laser"
if [ ! -f ${mdir}/laser2.pt ] ; then
echo " - Downloading $s3/laser2.pt"
wget --trust-server-names -q https://tinyurl.com/nllblaser2
else
echo " - ${mdir}/laser2.pt already downloaded"
fi
download "laser2.spm"
download "laser2.cvocab"
corpus_part="devtest"
corpus="flores200"
# note: example evaluation script expects format: basedir/corpus/corpus_part/lang.corpus_part
echo " - calculating xsim"
python3 $LASER/source/eval.py \
--base-dir $ddir \
--corpus $corpus \
--corpus-part $corpus_part \
--margin ratio \
--src-encoder $LASER/models/laser2.pt \
--src-spm-model $LASER/models/laser2.spm \
--src-langs afr_Latn,fin_Latn,fra_Latn,hin_Deva,tha_Thai,eng_Latn \
--nway --verbose
|