talktalk-sentiment-210713-multi-singleturn-custom-multiturn
/
talktalk-sentiment-210713-multi-singleturn-custom-multiturn.py
from __future__ import absolute_import, division, print_function | |
import datasets | |
import json | |
_URL = "data/" | |
_URLs = { | |
"train": _URL + "train.tsv", | |
"valid": _URL + "valid.tsv", | |
"test": _URL + "test.tsv", | |
} | |
class TalktalkSentiment_210713_multi_singleturn_custom_multiturn( | |
datasets.GeneratorBasedBuilder): | |
def _info(self): | |
return datasets.DatasetInfo( | |
description="TalkTalk Sentiment Classification Multiturn Dataset (210713 Version)", | |
features=datasets.Features( | |
{ | |
"text": datasets.Value("string"), | |
"label": datasets.features.ClassLabel( | |
names=['매우 긍정', '다소 긍정', '중립', '다소 부정', '매우 부정', '모름']), | |
"text_2": datasets.Value("string"), | |
"label_2": datasets.Value("string"), | |
"acc_label": datasets.Value("string") | |
} | |
), | |
supervised_keys=None, | |
license="", | |
homepage="", | |
citation="", | |
) | |
def _split_generators(self, dl_manager): | |
downloaded_files = dl_manager.download_and_extract(_URLs) | |
return [ | |
datasets.SplitGenerator( | |
name=datasets.Split.TRAIN, | |
gen_kwargs={ | |
"filepath": downloaded_files["train"], | |
} | |
), | |
datasets.SplitGenerator( | |
name=datasets.Split.VALIDATION, | |
gen_kwargs={ | |
"filepath": downloaded_files["valid"], | |
} | |
), | |
datasets.SplitGenerator( | |
name=datasets.Split.TEST, | |
gen_kwargs={ | |
"filepath": downloaded_files["test"], | |
} | |
), | |
] | |
def _generate_examples(self, filepath): | |
with open(filepath, "r", encoding='UTF-8') as f: | |
for idx, line in enumerate(f): | |
try: | |
text, label = line.split("\t") | |
yield idx, {"text": text.strip(), "label": label.strip(), | |
"text_2": '', "label_2": '', "acc_label": ''} | |
except: | |
text, label, acc_label = line.split("\t") | |
yield idx, {"text": '', "label": '모름', | |
"text_2": str(text).strip(), "label_2": str(label).strip(), | |
"acc_label": str(acc_label).strip()} | |