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import datasets
import pyarrow.parquet as pq
_CITATION = ''
_DESCRIPTION = ''
_HOMEPAGE = ''
_LICENSE = ''
_BASE_URL = 'https://huggingface.co/datasets/AresEkb/test/resolve/main/'
_FEATURES = {
'domains': datasets.Features({
'reg_number': datasets.Value('string'),
'standard_name': datasets.Value('string'),
'name': datasets.Value('string'),
'purpose': datasets.Value('string'),
'embeddings': datasets.Sequence(datasets.Value('float32')),
}),
}
class ProfStandardsDatasetBuilder(datasets.ArrowBasedBuilder):
VERSION = datasets.Version('0.0.1')
BUILDER_CONFIGS = [
datasets.BuilderConfig('domains', VERSION),
]
def _info(self):
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=_FEATURES[self.config.name],
homepage=_HOMEPAGE,
license=_LICENSE,
citation=_CITATION,
)
def _split_generators(self, dl_manager):
url = _BASE_URL + self.config.name + '.parquet'
file_path = dl_manager.download(url)
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={'file_path': file_path},
),
]
def _generate_tables(self, file_path):
if file_path.startswith(_BASE_URL):
file_path = file_path[len(_BASE_URL):]
yield self.config.name, pq.read_table(file_path)
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