#!/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