Datasets:
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import gzip
import json
import datasets
_URLS = {
"csl": "https://huggingface.co/datasets/neuclir/csl/resolve/main/data/csl.jsonl.gz"
}
class Csl(datasets.GeneratorBasedBuilder):
VERSION = datasets.Version("1.0.0")
def _info(self):
return datasets.DatasetInfo(
features=datasets.Features({
"doc_id": datasets.Value("string"),
"title": datasets.Value("string"),
"abstract": datasets.Value("string"),
"keywords": datasets.Sequence(feature=datasets.Value("string"), length=-1),
"category": datasets.Value("string"),
"category_zho": datasets.Value("string"),
"discipline": datasets.Value("string"),
"discipline_zho": datasets.Value("string"),
}),
)
def _split_generators(self, dl_manager):
paths = dl_manager.download(_URLS)
return [
datasets.SplitGenerator(
name='csl',
gen_kwargs={
"filepath": paths['csl'],
})
]
def _generate_examples(self, filepath):
with gzip.open(filepath) as f:
for key, row in enumerate(f):
data = json.loads(row)
yield key, data
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