misc/reference_datasets/monolingual/ar/download_101b_arabicwords.py (18 lines of code) (raw):
from datatrove.executor import SlurmPipelineExecutor
from datatrove.pipeline.writers import JsonlWriter
from datatrove.pipeline.readers import ParquetReader
SlurmPipelineExecutor(
job_name="dl_101b_arabicwords",
pipeline=[
ParquetReader("hf://datasets/ClusterlabAi/101_billion_arabic_words_dataset", glob_pattern="data/*.parquet", default_metadata={"language": "ar"}),
JsonlWriter("/path/to/ref-datasets/monolingual/ar/101b_arabicwords", output_filename="${rank}.jsonl.gz", max_file_size=2*2**30)
],
tasks=64,
logging_dir="/path/to/logs/dataset_download_logs/ar/101b_arabicwords",
randomize_start_duration=3 * 60,
cpus_per_task=64,
mem_per_cpu_gb=1,
partition="normal",
time="11:59:59",
srun_args={ "environment" : "train" }
).run()