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#!/bin/bash
# Copyright 2020 Google and DeepMind.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
REPO=$PWD
MODEL=${1:-bert-base-multilingual-cased}
DATA_DIR=${2:-"$REPO/download/"}
TASK='udpos'
MAXL=128
LANGS='af,ar,bg,de,el,en,es,et,eu,fa,fi,fr,he,hi,hu,id,it,ja,kk,ko,mr,nl,pt,ru,ta,te,th,tl,tr,ur,vi,yo,zh'
LC=""
if [ $MODEL == "bert-base-multilingual-cased" ]; then
MODEL_TYPE="bert"
elif [ $MODEL == "xlm-mlm-100-1280" ] || [ $MODEL == "xlm-mlm-tlm-xnli15-1024" ]; then
MODEL_TYPE="xlm"
LC=" --do_lower_case"
elif [ $MODEL == "xlm-roberta-large" ] || [ $MODEL == "xlm-roberta-base" ]; then
MODEL_TYPE="xlmr"
fi
SAVE_DIR="$DATA_DIR/${TASK}/udpos_processed_maxlen${MAXL}"
mkdir -p $SAVE_DIR
python3 $REPO/utils_preprocess.py \
--data_dir $DATA_DIR/${TASK}/ \
--task udpos_tokenize \
--model_name_or_path $MODEL \
--model_type $MODEL_TYPE \
--max_len $MAXL \
--output_dir $SAVE_DIR \
--languages $LANGS $LC >> $SAVE_DIR/process.log
if [ ! -f $SAVE_DIR/labels.txt ]; then
echo "create label"
cat $SAVE_DIR/*/*.${MODEL} | cut -f 2 | grep -v "^$" | sort | uniq > $SAVE_DIR/labels.txt
fi
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