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113 lines
2.8 KiB
113 lines
2.8 KiB
#!/bin/bash
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set -e
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stage=-1
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stop_stage=100
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dict_dir=data/lang_char
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# bpemode (unigram or bpe)
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nbpe=8000
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bpemode=unigram
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bpeprefix="${dict_dir}/bpe_${bpemode}_${nbpe}"
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data_dir=./TED-En-Zh
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. ${MAIN_ROOT}/utils/parse_options.sh || exit -1;
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TARGET_DIR=${MAIN_ROOT}/dataset
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mkdir -p ${TARGET_DIR}
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mkdir -p data
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mkdir -p ${dict_dir}
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if [ ${stage} -le -1 ] && [ ${stop_stage} -ge -1 ]; then
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if [ ! -e ${data_dir} ]; then
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echo "Error: ${data_dir} Dataset is not avaiable. Please download and unzip the dataset"
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echo "Download Link: https://pan.baidu.com/s/18L-59wgeS96WkObISrytQQ Passwd: bva0"
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echo "The tree of the directory should be:"
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echo "."
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echo "|-- En-Zh"
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echo "|-- test-segment"
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echo " |-- tst2010"
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echo " |-- ..."
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echo "|-- train-split"
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echo " |-- train-segment"
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echo "|-- README.md"
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exit 1
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fi
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# generate manifests
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python3 ${TARGET_DIR}/ted_en_zh/ted_en_zh.py \
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--manifest_prefix="data/manifest" \
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--src-dir="${data_dir}"
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echo "Complete raw data pre-process."
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fi
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if [ ${stage} -le 0 ] && [ ${stop_stage} -ge 0 ]; then
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# compute mean and stddev for normalizer
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num_workers=$(nproc)
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python3 ${MAIN_ROOT}/utils/compute_mean_std.py \
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--manifest_path="data/manifest.train.raw" \
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--num_samples=-1 \
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--spectrum_type="fbank" \
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--feat_dim=80 \
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--delta_delta=false \
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--sample_rate=16000 \
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--stride_ms=10 \
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--window_ms=25 \
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--use_dB_normalization=False \
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--num_workers=${num_workers} \
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--output_path="data/mean_std.json"
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if [ $? -ne 0 ]; then
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echo "Compute mean and stddev failed. Terminated."
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exit 1
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fi
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fi
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if [ ${stage} -le 1 ] && [ ${stop_stage} -ge 1 ]; then
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# build vocabulary
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python3 ${MAIN_ROOT}/utils/build_vocab.py \
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--unit_type "spm" \
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--spm_vocab_size=${nbpe} \
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--spm_mode ${bpemode} \
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--spm_model_prefix ${bpeprefix} \
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--spm_character_coverage 1. \
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--vocab_path="${dict_dir}/vocab.txt" \
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--text_keys 'text' \
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--manifest_paths="data/manifest.train.raw"
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if [ $? -ne 0 ]; then
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echo "Build vocabulary failed. Terminated."
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exit 1
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fi
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fi
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if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then
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# format manifest with tokenids, vocab size
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for set in train dev test; do
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{
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python3 ${MAIN_ROOT}/utils/format_data.py \
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--cmvn_path "data/mean_std.json" \
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--unit_type "spm" \
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--spm_model_prefix ${bpeprefix} \
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--vocab_path="${dict_dir}/vocab.txt" \
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--manifest_path="data/manifest.${set}.raw" \
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--output_path="data/manifest.${set}"
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if [ $? -ne 0 ]; then
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echo "Formt mnaifest failed. Terminated."
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exit 1
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fi
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}&
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done
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wait
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fi
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echo "Ted En-Zh Data preparation done."
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exit 0
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