比较与torchtext.datasets.AG_NEWS的差异

class torchtext.datasets.AG_NEWS(
    root: str = '.data',
    split: Union[List[str], str] = ('train', 'test'))

class mindspore.dataset.AGNewsDataset(
    dataset_dir,
    usage=None,
    num_samples=None,
    num_parallel_workers=None,
    shuffle=Shuffle.GLOBAL,
    num_shards=None,
    shard_id=None,
    cache=None)

# PyTorch
import torchtext.datasets as datasets
from torch.utils.data import DataLoader

root = "/path/to/dataset_directory/"
dataset = datasets.AG_NEWS(root, split=('train', 'test'))
dataloader = DataLoader(dataset)

# MindSpore
import mindspore.dataset as ds

# Download AG News dataset files, unzip into the following structure
# .
# └── /path/to/dataset_directory/
#      ├── classes.txt
#      ├── train.csv
#      ├── test.csv
#      ├── readme.txt
root = "/path/to/dataset_directory/"
ms_dataloader = ds.AGNewsDataset(root, usage='all')