DeepLearningExamples/TensorFlow/LanguageModeling/BERT/data/create_datasets_from_start.sh
2020-08-13 12:52:46 -07:00

49 lines
2.3 KiB
Bash
Executable file

#!/bin/bash
# Copyright (c) 2019 NVIDIA CORPORATION. All rights reserved.
# 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.
export BERT_PREP_WORKING_DIR="${BERT_PREP_WORKING_DIR}"
to_download=${1:-"wiki_only"} # By default, we don't download BooksCorpus dataset due to recent issues with the host server
#Download
if [ "$to_download" = "wiki_books" ] ; then
python3 /workspace/bert/data/bertPrep.py --action download --dataset bookscorpus
fi
python3 /workspace/bert/data/bertPrep.py --action download --dataset wikicorpus_en
python3 /workspace/bert/data/bertPrep.py --action download --dataset google_pretrained_weights # Includes vocab
python3 /workspace/bert/data/bertPrep.py --action download --dataset squad
python3 /workspace/bert/data/bertPrep.py --action download --dataset mrpc
python3 /workspace/bert/data/bertPrep.py --action download --dataset sst-2
DATASET="wikicorpus_en"
# Properly format the text files
if [ "$to_download" = "wiki_books" ] ; then
python3 /workspace/bert/data/bertPrep.py --action text_formatting --dataset bookscorpus
DATASET="books_wiki_en_corpus"
fi
python3 /workspace/bert/data/bertPrep.py --action text_formatting --dataset wikicorpus_en
# Shard the text files
python3 /workspace/bert/data/bertPrep.py --action sharding --dataset $DATASET
# Create TFRecord files Phase 1
python3 ${BERT_PREP_WORKING_DIR}/bertPrep.py --action create_tfrecord_files --dataset ${DATASET} --max_seq_length 128 \
--max_predictions_per_seq 20 --vocab_file ${BERT_PREP_WORKING_DIR}/download/google_pretrained_weights/uncased_L-24_H-1024_A-16/vocab.txt
# Create TFRecord files Phase 2
python3 ${BERT_PREP_WORKING_DIR}/bertPrep.py --action create_tfrecord_files --dataset ${DATASET} --max_seq_length 512 \
--max_predictions_per_seq 80 --vocab_file ${BERT_PREP_WORKING_DIR}/download/google_pretrained_weights/uncased_L-24_H-1024_A-16/vocab.txt