misc/reference_datasets/monolingual/zh/download_tigerbot.py (19 lines of code) (raw):
from datatrove.executor import SlurmPipelineExecutor
from datatrove.pipeline.readers import ParquetReader
from datatrove.pipeline.writers import JsonlWriter
SlurmPipelineExecutor(
pipeline=[
ParquetReader("hf://datasets/TigerResearch/pretrain_zh", glob_pattern="data/*.parquet", text_key="content", default_metadata={"language": "zh"}),
JsonlWriter("/path/to/ref-datasets/monolingual/zh/tigerbot",
output_filename="${rank}.jsonl.gz", max_file_size=2*2**30)
],
tasks=64,
randomize_start_duration=3 * 60,
time="11:59:59",
job_name="dl_tigerbot",
cpus_per_task=64,
mem_per_cpu_gb=1,
partition="partition",
srun_args={"environment": "train"},
logging_dir="/path/to/logs/dataset_download_logs/zh/tigerbot",
).run()