Datasets:
File size: 2,053 Bytes
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# coding=utf-8
import pandas as pd
import datasets
_DATA_URL = 'https://frodobots-1k.s3.ap-southeast-1.amazonaws.com/frodobots-1k_20230907_getting-started.zip'
_DESCRIPTION = '''\
'''
_HOMEPAGE = 'https://www.frodobots.com'
_LICENSE = ''
_CITATION = ''
class Test(datasets.GeneratorBasedBuilder):
BUILDER_CONFIGS = [
datasets.BuilderConfig(
name='test',
version=datasets.Version('1.0.0', ''),
description='',
)
]
def _info(self):
features = datasets.Features(
{
'speed': datasets.Value('float32'),
'angular': datasets.Value('float32'),
'rpm_1': datasets.Value('int32'),
'rpm_2': datasets.Value('int32'),
'rpm_3': datasets.Value('int32'),
'rpm_4': datasets.Value('int32'),
'timestamp': datasets.Value('float64'),
}
)
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=features,
supervised_keys=None,
homepage=_HOMEPAGE,
license=_LICENSE,
citation=_CITATION,
)
def _split_generators(self, dl_manager):
archive = dl_manager.download_and_extract(_DATA_URL)
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN, gen_kwargs={'files': archive + '/frodobots-1k_20230907_getting-started/frodobot2e6388/20230522142406/control_20230522142406.csv', 'split': 'train'}
),
]
def _generate_examples(self, files, split):
df = pd.read_csv(files)
for index, row in df.iterrows():
yield index, {
'speed': row['speed'],
'angular': row['angular'],
'rpm_1': row['rpm_1'],
'rpm_2': row['rpm_2'],
'rpm_3': row['rpm_3'],
'rpm_4': row['rpm_4'],
'timestamp': row['timestamp'],
}
if __name__ == '__main__':
Test().download_and_prepare()
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