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import os.path
from datasets import load_from_disk, load_dataset
from multiprocessing import cpu_count
from glob import glob
paths = glob("data/*/")
for path in paths:
dataset = load_dataset("parquet", data_files={"train":glob(os.path.join(path, "*.parquet"))}, streaming=False, split="train")
print(dataset)
dataset = dataset.map(lambda x: {"n": int(x["id"])}).sort("n")
dataset = dataset.remove_columns(["n"])
for i in range(10):
dataset.shard(num_shards=10, index=i).to_parquet(f"{path}/train-{i:05d}-of-{10:05d}.parquet") |