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import json
from typing import List
import datasets
logger = datasets.logging.get_logger(__name__)
class Test(datasets.GeneratorBasedBuilder):
_HOMEPAGE = "https://huggingface.co/datasets/nateraw/test/"
_URL = "https://huggingface.co/datasets/nateraw/test/raw/main/"
_URLS = {
"train": _URL + "train.json",
"dev": _URL + "dev.json",
}
_DESCRIPTION = "A test!"
_CITATION = None
def _info(self):
return datasets.DatasetInfo(
description=self._DESCRIPTION,
features=datasets.Features(
{
"id": datasets.Value("string"),
"text": datasets.Value("string"),
}
),
supervised_keys=None,
homepage=self._HOMEPAGE,
citation=self._CITATION,
)
def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
urls_to_download = self._URLS
downloaded_files = dl_manager.download_and_extract(urls_to_download)
return [
datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_files["train"]}),
datasets.SplitGenerator(name=datasets.Split.VALIDATION, gen_kwargs={"filepath": downloaded_files["dev"]}),
]
def _generate_examples(self, filepath):
"""This function returns the examples in the raw (text) form."""
logger.info("generating examples from = %s", filepath)
with open(filepath) as f:
content = json.load(f)
for example in content['data']:
example_id = example.get('id', "").strip()
text = example.get('text', "").strip()
yield example_id, {
"id": example_id,
"text": text
}
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