build_streaming_c4_dataloader#
- composer.datasets.build_streaming_c4_dataloader(global_batch_size, remote='s3://mosaicml-internal-dataset-c4/mds/2/', local='/tmp/mds-cache/mds-c4/', split='train', shuffle=True, drop_last=True, tokenizer_name='bert-base-uncased', max_seq_len=512, group_method='truncate', mlm=False, mlm_probability=0.15, predownload=100000, keep_zip=None, download_retry=2, download_timeout=60, validate_hash=None, shuffle_seed=None, num_canonical_nodes=None, **dataloader_kwargs)[source]#
Builds a
DataSpec
for the StreamingC4 (Colossal Cleaned Common Crawl) dataset.- Parameters
global_batch_size (int) โ Global batch size.
remote (str) โ Remote directory (S3 or local filesystem) where dataset is stored. Default:
's3://mosaicml-internal-dataset-c4/mds/2/'
local (str) โ Local filesystem directory where dataset is cached during operation. Default:
'/tmp/mds-cache/mds-c4/'
split (str) โ What split of the dataset to use. Either
'train'
or'val'
. Default:'train'
.shuffle (bool) โ whether to shuffle the dataset. Default:
True
.drop_last (bool) โ whether to drop last samples. Default:
True
.tokenizer_name (str) โ The name of the HuggingFace tokenizer to preprocess text with. Default:
'bert-base-uncased'
.max_seq_len (int) โ The max sequence length of each token sample. Default:
512
.group_method (str) โ How to group text samples into token samples. Currently only truncate is supported.
mlm (bool) โ Whether or not to use masked language modeling. Default:
False
.mlm_probability (float) โ If
mlm==True
, the probability that tokens are masked. Default:0.15
.predownload (int, optional) โ Target number of samples ahead to download the shards of while iterating. Defaults to
100_000
.keep_zip (bool, optional) โ Whether to keep or delete the compressed file when decompressing downloaded shards. If set to None, keep iff remote is local. Defaults to
None
.download_retry (int) โ Number of download re-attempts before giving up. Defaults to
2
.download_timeout (float) โ Number of seconds to wait for a shard to download before raising an exception. Defaults to
60
.validate_hash (str, optional) โ Optional hash or checksum algorithm to use to validate shards. Defaults to
None
.shuffle_seed (int, optional) โ Seed for shuffling, or
None
for random seed. Defaults toNone
.num_canonical_nodes (int, optional) โ Canonical number of nodes for shuffling with resumption. Defaults to
None
, which is interpreted as the number of nodes of the initial run.**dataloader_kwargs (Dict[str, Any]) โ Additional settings for the dataloader (e.g. num_workers, etc.)