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#!/bin/bash
#SBATCH --job-name=openwebtext-jsonl-to-meg-gpt2 # job name
#SBATCH --ntasks=1 # number of MP tasks
#SBATCH --nodes=1
#SBATCH --cpus-per-task=40 # number of cores per tasks
#SBATCH --hint=nomultithread # we get physical cores not logical
#SBATCH --time=100:00:00 # maximum execution time (HH:MM:SS)
#SBATCH --output=%x-%j.out # output file name
#SBATCH --account=six@cpu
#SBATCH --partition=cpu_p1
set -x -e
source $six_ALL_CCFRWORK/start-prod
cd $six_ALL_CCFRWORK/code/megatron-lm
python tools/preprocess_data.py \
--input $six_ALL_CCFRWORK/datasets-custom/openwebtext/openwebtext.jsonl \
--output-prefix $six_ALL_CCFRWORK/datasets-custom/openwebtext/meg-gpt2 \
--vocab data/gpt2-vocab.json \
--dataset-impl mmap \
--tokenizer-type GPT2BPETokenizer \
--merge-file data/gpt2-merges.txt \
--append-eod \
--workers 8
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