File size: 1,362 Bytes
aa5a087 eb695a8 aa5a087 0d5e602 aa5a087 0d5e602 aa5a087 2e6cfa3 aa5a087 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 |
import os
import json
import datasets
import typing as tp
_LABELS = [
'positive',
'negative'
]
class MARC(datasets.GeneratorBasedBuilder):
def _info(self):
return datasets.DatasetInfo(
description=None,
features=datasets.Features({
"text": datasets.Value("string"),
"label": datasets.features.ClassLabel(
names=_LABELS
)
}),
homepage=None,
citation='https://aclanthology.org/2022.lrec-1.317.pdf'
)
def _split_generators(self, dl_manager: datasets.DownloadManager) -> tp.List[datasets.SplitGenerator]:
path = os.getcwd()
train_filepath = os.path.join(path, 'train.json')
dev_filepath = os.path.join(path, 'dev.json')
return [
datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={'filepath': train_filepath}),
datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={'filepath': dev_filepath}),
]
def _generate_examples(self, filepath):
with open(filepath, 'r', encoding='utf-8') as fp:
lines = json.load(fp)
for idx, line in enumerate(lines):
text = str(line['text'])
label = int(line['label'])
yield idx, {'text': text, 'label': label}
|