| #DIR="/data/wet-data/output/toxic_filtered_without_bloom_new/2024-10/" | |
| #TRAIN_DIR=$DIR | |
| #OUTPUT_TRAIN_DIR="/data/hineng/data_multi/" | |
| #DATASET_NAME="multi" | |
| #FINAL_DIR="/data/datasets/$DATASET_NAME/" | |
| #mkdir -p $FINAL_DIR $OUTPUT_TRAIN_DIR | |
| #langs=($(ls -1 /data/wet-data/output/toxic_filtered_without_bloom_new/2024-10/ | awk '{split($0, a,"_"); print a[1]}' | uniq)) | |
| #for lang in ${langs[@]}; do | |
| # files=($(ls $TRAIN_DIR/$lang*)) | |
| # OUTPUT_LANG_DIR=$OUTPUT_TRAIN_DIR/$lang | |
| # FINAL_LANG_DIR=$FINAL_DIR/$lang | |
| # mkdir -p $OUTPUT_LANG_DIR $FINAL_LANG_DIR | |
| # for f in ${files[@]}; do | |
| # new_name=$(echo $f | sed "s/\//_/g") | |
| # cmd="unzstd $f --stdout > $OUTPUT_LANG_DIR/$(basename $f).jsonl" | |
| # echo $cmd | |
| # eval $cmd | |
| # done; | |
| #final_cmd="cat $OUTPUT_LANG_DIR/*.jsonl > $FINAL_LANG_DIR/final_en.jsonl" | |
| #echo $final_cmd | |
| #eval $final_cmd | |
| #done; | |
| FINAL_DIR=/data/datasets/hindi_english_arxiv_bengali/ | |
| TOKENIZER=google/gemma-7b | |
| TOKENIZER_TYPE=HuggingFaceTokenizer | |
| #TOKENIZER=GPT2BPETokenizer | |
| VOCAB_FILE= | |
| MERGES_FILE= | |
| ip_address=$(ifconfig | grep "inet " | grep -Fv "127.0.0.1" | grep -Fv "172.17.0.1" | awk '{print $2}') | |
| mkdir -p $FINAL_DIR/tokenizer/ | |
| filename=$(cat $FINAL_DIR/splitfile | grep $ip_address | awk '{print $1}') | |
| cd /Model-References/PyTorch/nlp/DeepSpeedExamples/Megatron-DeepSpeed/ | |
| python3 tools/preprocess_data.py \ | |
| --input $FINAL_DIR/$filename \ | |
| --output-prefix $FINAL_DIR/tokenizer/output_$ip_adress \ | |
| --tokenizer_model_file $TOKENIZER \ | |
| --dataset-impl mmap --tokenizer-type $TOKENIZER_TYPE\ | |
| --append-eod --workers 8 #--chunk-size 50 | |
| #--vocab-file $VOCAB_FILE \ | |
| # --merge-file $MERGES_FILE \ | |