| import datasets |
| import json |
|
|
|
|
| class MyCustomDataset(datasets.GeneratorBasedBuilder): |
| VERSION = datasets.Version("1.0.0") |
|
|
| def _info(self): |
| return datasets.DatasetInfo( |
| description="My custom dataset", |
| features=datasets.Features({ |
| "id": datasets.Value("int64"), |
| "article": datasets.Value("string"), |
| "summary": datasets.Value("string"), |
| }), |
| homepage="https://example.com", |
| citation="", |
| ) |
|
|
| def _split_generators(self, dl_manager): |
| train_path = dl_manager.download("train.json") |
| eval_path = dl_manager.download("validation.json") |
| test_path = dl_manager.download("test.json") |
|
|
| return [ |
| datasets.SplitGenerator( |
| name=datasets.Split.TRAIN, gen_kwargs={"filepath": train_path, "split": "train"} |
| ), |
| datasets.SplitGenerator( |
| name=datasets.Split.VALIDATION, gen_kwargs={"filepath": eval_path, "split": "validation"} |
| ), |
| datasets.SplitGenerator( |
| name=datasets.Split.TEST, gen_kwargs={"filepath": test_path, "split": "test"} |
| ), |
| ] |
|
|
| def _generate_examples(self, filepath, split): |
| with open(filepath, "r", encoding="utf-8") as json_file: |
| data = json.load(json_file) |
| for element in enumerate(data): |
| yield element |
|
|