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import json
import datasets
class NECConfig(datasets.BuilderConfig):
def __init__(self, **kwargs):
super(NECConfig, self).__init__(**kwargs)
class NECDataset(datasets.GeneratorBasedBuilder):
BUILDER_CONFIGS = [
NECConfig(name="default", version=datasets.Version("1.0.0"), description="NEC dataset")
]
def _info(self):
features = datasets.Features({
"displayTitle": datasets.Value("string"),
"body": datasets.Value("string"),
"url": datasets.Value("string")
})
return datasets.DatasetInfo(
description="NEC dataset",
features=features,
supervised_keys=None,
homepage="https://huggingface.co/datasets/your_dataset_name",
citation="Your citation",
)
def _split_generators(self, dl_manager):
data_path = dl_manager.download_and_extract("hf://datasets/anthonymeo/2023-NEC@3e1ca2eace509ddfa1ade8ec70d41ee709c8911c/NEC_url_slim.json")
return [
datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": data_path}),
]
def _generate_examples(self, filepath):
def extract_records(data, chapter_title):
for article in data:
if "body" in article:
yield {
"displayTitle": f"{chapter_title} - {article['displayTitle']}",
"body": article["body"],
"url": article.get("url", "")
}
if "children" in article and article["children"]:
yield from extract_records(article["children"], f"{chapter_title} - {article['displayTitle']}")
with open(filepath, encoding="utf-8") as f:
data = json.load(f)
for chapter_title, articles in data.items():
for id_, record in enumerate(extract_records(articles, chapter_title)):
yield id_, record |