Datasets:
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from datasets import DatasetBuilder, GenerateMode, SplitGenerator, load_dataset
from datasets.features import Features, Sequence, Value
class MyDataset(DatasetBuilder):
VERSION = "0.1.0"
def _info(self):
return {
features: Features({
'text': Value('string'),
'language': Value('string'),
}),
supervised_keys: ('text', 'language')
}
def _split_generators(self, dl_manager):
files = {
'train': 'train.jsonl',
'dev': 'dev.jsonl',
'test': 'test.jsonl'
}
return [
SplitGenerator(name=split, gen_kwargs={'filepath': path})
for split, path in files.items()
]
def _generate_examples(self, filepath):
with open(filepath, 'r') as f:
for id, line in enumerate(f):
data = json.loads(line)
yield id, {
'text': data['text'],
'language': data['language']
}
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