File size: 1,593 Bytes
1be83d8 34b9956 1be83d8 34b9956 1be83d8 34b9956 1be83d8 34b9956 1be83d8 34b9956 1be83d8 34b9956 | 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 | import json
import datasets
_DESCRIPTION = "Multi-domain dataset with separate configurations per domain."
_CITATION = "Your citation here"
class MultiDomainDataset(datasets.GeneratorBasedBuilder):
BUILDER_CONFIGS = [
datasets.BuilderConfig(name="domain_0", version=datasets.Version("1.0.0"), description="Domain 0 data"),
datasets.BuilderConfig(name="domain_1", version=datasets.Version("1.0.0"), description="Domain 1 data"),
datasets.BuilderConfig(name="domain_2", version=datasets.Version("1.0.0"), description="Domain 2 data"),
datasets.BuilderConfig(name="domain_3", version=datasets.Version("1.0.0"), description="Domain 3 data"),
datasets.BuilderConfig(name="domain_4", version=datasets.Version("1.0.0"), description="Domain 4 data"),
]
def _info(self):
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=datasets.Features({
"text": datasets.Value("string"),
}),
supervised_keys=None,
citation=_CITATION,
)
def _split_generators(self, dl_manager):
domain_file = f"{self.config.name}.jsonl"
data_path = dl_manager.download_and_extract(domain_file)
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={"filepath": data_path},
)
]
def _generate_examples(self, filepath):
with open(filepath, encoding="utf-8") as f:
for idx, line in enumerate(f):
yield idx, json.loads(line)
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