import datasets | |
from datasets import DatasetInfo, DownloadManager | |
from NASA_OSDR import NasaOsdr | |
def test_inherit_generator_base_builder_works(): | |
class Child(datasets.GeneratorBasedBuilder): | |
BUILDER_CONFIGS = [ | |
datasets.BuilderConfig( | |
name="some dataset", | |
version=datasets.Version("1.0.0"), | |
description="some description", | |
) | |
] | |
DEFAULT_CONFIG_NAME = "some dataset" | |
def _info(self) -> DatasetInfo: | |
return datasets.DatasetInfo( | |
description="""dadada """, | |
features=None, | |
supervised_keys=None, | |
homepage="dada", | |
license="dada", | |
citation="dsada", | |
) | |
child = Child() | |
assert child | |
def test_generate_examples(): | |
dataset = NasaOsdr(name='experiments') | |
train_data = dataset._generate_examples(file='data/train/experiments.csv') | |
idx, sample = next(iter(train_data)) | |
print(idx, sample.keys()) | |
def test_load_dataset(): | |
from datasets import load_dataset | |
dataset = load_dataset("nasa_osdr.py", "experiments") | |
print(len(dataset["train"])) | |
# def test_load_dataset2(): | |
# from datasets import load_dataset | |
# dataset = load_dataset("anz2/NASA_OSDR", "experiments", use_auth_token="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") | |
# print(len(dataset["train"])) | |