File size: 2,116 Bytes
24efe85 4dc3406 24efe85 4dc3406 24efe85 4dc3406 24efe85 fe139cc 24efe85 fe139cc 4dc3406 24efe85 4dc3406 24efe85 |
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 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 |
import json
import datasets
_DESCRIPTION = "Chinese drug KG with two configs: entities and relations."
class DrugDatasetConfig(datasets.BuilderConfig):
def __init__(self, **kwargs):
super().__init__(**kwargs)
class DrugDataset(datasets.GeneratorBasedBuilder):
BUILDER_CONFIGS = [
DrugDatasetConfig(
name="entities",
version=datasets.Version("1.0.0"),
description="Drug entities (code, name, type, description)"
),
DrugDatasetConfig(
name="relations",
version=datasets.Version("1.0.0"),
description="Relations (source, target, relationship, sourceName, targetName)"
),
]
def _info(self):
if self.config.name == "entities":
features = datasets.Features({
"code": datasets.Value("int64"),
"name": datasets.Value("string"),
"type": datasets.Value("string"),
"description": datasets.Value("string"),
})
else:
features = datasets.Features({
"source": datasets.Value("int64"),
"target": datasets.Value("int64"),
"relationship": datasets.Value("string"),
"sourceName": datasets.Value("string"),
"targetName": datasets.Value("string"),
})
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=features,
)
def _split_generators(self, dl_manager):
if self.config.name == "entities":
path = dl_manager.download_and_extract("data/entities.jsonl")
else:
path = dl_manager.download_and_extract("data/relations.jsonl")
return [datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": path})]
def _generate_examples(self, filepath):
with open(filepath, "r", encoding="utf-8") as f:
for i, line in enumerate(f):
line = line.strip()
if not line:
continue
yield i, json.loads(line)
|