sharded_dataset_reader
[ allennlp.data.dataset_readers.sharded_dataset_reader ]
ShardedDatasetReader Objects#
class ShardedDatasetReader(DatasetReader):
| def __init__(self, base_reader: DatasetReader, **kwargs,) -> None
Wraps another dataset reader and uses it to read from multiple input files.
Note that in this case the file_path
passed to read()
should be a glob,
and that the dataset reader will return instances from all files matching
the glob.
The order the files are processed in is deterministic to enable the instances to be filtered according to worker rank in the distributed case.
Registered as a DatasetReader
with name "sharded".
Parameters
- base_reader :
DatasetReader
Reader with a read method that accepts a single file.
text_to_instance#
| def text_to_instance(self, *args, **kwargs) -> Instance
Just delegate to the base reader text_to_instance.