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import json
import datasets
from datasets import Dataset, DatasetDict, Features, ClassLabel, Value
_URLS = {
f'seed_{j}_fold_{i}': {
"train": f"data/essay_{j}_{i}_train.jsonl.gz",
"validation": f"data/essay_{j}_{i}_vali.jsonl.gz",
"test": f"data/essay_{j}_{i}_test.jsonl.gz",
}
for j in [0, 50, 100, 150] for i in range(0,5)
}
class Essay(datasets.GeneratorBasedBuilder):
BUILDER_CONFIGS = [
datasets.BuilderConfig(name=f"seed_{j}_fold_{i}") for j in [0, 50, 100, 150] for i in range(0,5)
]
DEFAULT_CONFIG_NAME = "seed_0_fold_0"
def _info(self):
return datasets.DatasetInfo(
features=datasets.Features({
'essay_id': Value('string'),
'full_text': Value('string'),
'score': ClassLabel(names = [1, 2, 3, 4, 5, 6],
id = [0, 1, 2, 3, 4, 5]
)
}))
def _split_generators(self, dl_manager):
"""Returns seed_0_fold_0Generators."""
paths = dl_manager.download_and_extract(_URLS[self.config.name])
return [
datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": paths["train"]}),
datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": paths["validation"]}),
datasets.SplitGenerator(name=datasets.Split.TEST, gen_kwargs={"filepath": paths["test"]}),
]
def _generate_examples(self, filepath):
"""Generate examples."""
with open(filepath, encoding="utf-8") as f:
for idx, line in enumerate(f):
example = json.loads(line)
yield idx, example |