Datasets:
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import json
from pathlib import Path
from datasets import DatasetBuilder, DatasetInfo, Features, Value, Sequence
class MoBiPlant(DatasetBuilder):
def _info(self):
return DatasetInfo(
description="MoBiPlant MCQ dataset",
features=Features({
"question": Value("string"),
"area": Sequence(Value("string")),
"normalized_area": Value("string"),
"plant_species": Value("string"),
"normalized_plant_species": Value("string"),
"doi": Value("string"),
"source": Value("string"),
"source_journal": Value("string"),
"Year": Value("int32"),
"Citations": Value("int32"),
"answer": Value("int32"),
"options": Sequence(Value("string")),
"is_expert": Value("bool")
}),
supervised_keys=None,
)
def _split_generators(self, dl_manager):
data_path = Path(self.config.data_files["train"])
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={"filepath": str(data_path)},
)
]
def _generate_examples(self, filepath):
with open(filepath, encoding="utf-8") as f:
data = json.load(f)
for idx, ex in enumerate(data):
yield idx, ex
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