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import datasets
text_file = 'dateee.txt'
class DailyDialog(datasets.GeneratorBasedBuilder):
"""DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset"""
VERSION = datasets.Version("1.0.0")
__EOU__ = "__eou__"
def _split_generators(self, dl_manager: datasets.DownloadManager):
# You should implement the logic here to split the text_file into TRAIN, VALIDATION, and TEST
# Example logic is provided below
with open(text_file, 'r', encoding='utf-8') as f:
lines = f.readlines()
train_size = int(0.8 * len(lines))
val_size = int(0.1 * len(lines))
test_size = len(lines) - train_size - val_size
train_data = lines[:train_size]
val_data = lines[train_size:train_size + val_size]
test_data = lines[train_size + val_size:]
return [
datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"data": train_data}),
datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"data": val_data}),
datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"data": test_data}),
]
def _generate_examples(self, data):
for idx, line in enumerate(data):
yield idx, {
"dialog": line.strip().split(self.__EOU__)[:-1]
}
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