Datasets:
Tasks:
Fill-Mask
Sub-tasks:
masked-language-modeling
Languages:
English
Size:
10M<n<100M
ArXiv:
License:
Peter Henderson
commited on
Commit
•
43c5ebb
1
Parent(s):
4714437
add dataset loading script
Browse files- pile_of_law.py +87 -0
pile_of_law.py
ADDED
@@ -0,0 +1,87 @@
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"""C4 dataset based on Common Crawl."""
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import gzip
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import json
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import datasets
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try:
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import lzma as xz
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except ImportError:
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import pylzma as xz
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logger = datasets.logging.get_logger(__name__)
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_DESCRIPTION = """\
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A living legal dataset.
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"""
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_CITATION = """
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TODO
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"""
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_URL = ""
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_VARIANTS = ["all", "r_legaladvice"]
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_DATA_URL = {
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"r_legaladvice" :
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{
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"train" : "https://huggingface.co/datasets/pile-of-law/pile-of-law/resolve/main/data/train.r_legaldvice.jsonl.xz",
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"validation" : "https://huggingface.co/datasets/pile-of-law/pile-of-law/resolve/main/data/train.r_legaldvice.jsonl.xz"
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}
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}
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class PileOfLaw(datasets.GeneratorBasedBuilder):
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"""TODO"""
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BUILDER_CONFIGS = [datasets.BuilderConfig(name) for name in _VARIANTS]
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def _info(self):
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return datasets.DatasetInfo(
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description=_DESCRIPTION,
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features=datasets.Features(
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{
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"text": datasets.Value("string"),
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"timestamp": datasets.Value("string"),
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"url": datasets.Value("string"),
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}
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),
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supervised_keys=None,
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homepage=_URL,
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citation=_CITATION,
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)
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def _split_generators(self, dl_manager):
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data_urls = {}
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if self.config.name == "all":
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data_sources = list(_DATA_URL.keys())
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else:
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data_sources = [self.config.name]
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for split in ["train", "validation"]:
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data_urls[split] = [
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_DATA_URL[source][split] for source in data_sources
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]
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train_downloaded_files = dl_manager.download(data_urls["train"])
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validation_downloaded_files = dl_manager.download(data_urls["validation"])
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return [
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datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepaths": train_downloaded_files}),
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datasets.SplitGenerator(
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name=datasets.Split.VALIDATION, gen_kwargs={"filepaths": validation_downloaded_files}
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),
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]
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def _generate_examples(self, filepaths):
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"""This function returns the examples in the raw (text) form by iterating on all the files."""
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id_ = 0
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for filepath in filepaths:
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logger.info("generating examples from = %s", filepath)
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with xz.open(filepath, "rt", encoding="utf-8") as f:
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for line in f:
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if line:
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example = json.loads(line)
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yield id_, example
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id_ += 1
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