| | 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 |
| |
|
