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input_ids
sequence
labels
int64
source
list
[1,660,29901,920,338,4390,2084,3971,297,3949,295,304,1831,4452,297,278,4390,934,306,505,278,1494,439(...TRUNCATED)
16,684
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[16684,12604,368,373,779,1052,29882,648,29989,29909,29918,29875,4311,13,29905,355,29912,1745,29913,1(...TRUNCATED)
611
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1,090
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[1090,484,493,1075,29889,23529,3290,701,322,6077,670,1250,373,902,29889,1094,540,1258,577,278,2217,4(...TRUNCATED)
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363
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701
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[5941,7901,1022,310,278,330,3361,29889,450,365,820,22187,3014,2381,19400,23051,297,263,349,29933,298(...TRUNCATED)
13
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22,361
[{"end":98226,"source":"RedPajamaArXiv","start":0},{"end":98332,"source":"RedPajamaC4","start":98226(...TRUNCATED)
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[{"end":67540,"source":"RedPajamaGithub","start":0},{"end":163178,"source":"RedPajamaCommonCrawl","s(...TRUNCATED)

Generated using https://github.com/FranxYao/Long-Context-Data-Engineering with the below command:

mkdir logs
mkdir data
mkdir data/slimpajama
mkdir data/slimpajama/per_source_downsample
cd data_engineering

PATH_TO_SLIMPAJAMA=rokset3/slim_pajama_chunk_1
nohup python -u slimpajama_packing.py\
    --dataset_size=5b\
    --print_interval=100 --num_process=200\
    --chunk_size=1000001 \
    --dataset_path=$PATH_TO_SLIMPAJAMA\
    --output_path=../data/slimpajama/per_source_downsample/ --down_sample_ratio=0.1 --down_sample_mode=per_source\
    > ../logs/slimpajama_packing_dist_per_source_downsample_0.1.log 2>&1 &
tail -f ../logs/slimpajama_packing_dist_per_source_downsample_0.1.log
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