ml-datasets 0.1.6

Machine Learning dataset loaders

Machine learning dataset loaders

Loaders for various machine learning datasets for testing and example scripts. Previously in thinc.extra.datasets.

Setup and installation

The package can be installed via pip:

pip install ml-datasets

Loaders

Loaders can be imported directly or used via their string name (which is useful if they're set via command line arguments). Some loaders may take arguments – see the source of details.

# Import directly
from ml_datasets import imdb
train_data, dev_data = imdb()

# Load via registry
from ml_datasets import loaders
imdb_loader = loaders.get("imdb")
train_data, dev_data = imdb_loader()

Available loaders

ID / Function	Description	From URL
imdb	IMDB sentiment dataset.	✓
mnist	MNIST data.	✓
quora_questions	Quora question answer dataset.	✓
reuters	Reuters dataset.	✓
snli	Stanford Natural Language Inference corpus.	✓
stack_exchange	Stack Exchange dataset.
ud_ancora_pos_tags	Universal Dependencies Spanish AnCora corpus (POS tagging).	✓
ud_ewtb_pos_tags	Universal Dependencies English EWT corpus (POS tagging).	✓
wikiner	WikiNER data.
dbpedia	DBPedia ontology dataset via fast.ai.	✓

Registering loaders

Loaders can be registered externally using the loaders registry as a decorator. For example:

@ml_datasets.loaders("my_custom_loader")
def my_custom_loader():
    return load_some_data()

assert "my_custom_loader" in ml_datasets.loaders