Datasets:
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import json
import csv
import os
import datasets
logger = datasets.logging.get_logger(__name__)
_DESCRIPTION = """
This is legal-mc4 polish dataset. This dump is converted from parquet format.
"""
_SPLITS = ["corpus"]
_URLs = {
"corpus": "corpus.jsonl.gz"
}
class PolishLegalMC4(datasets.GeneratorBasedBuilder):
BUILDER_CONFIGS = [
datasets.BuilderConfig(
name="corpus",
description=_DESCRIPTION
)
]
def _info(self):
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=datasets.Features({
"url": datasets.Value("string"),
"timestamp": datasets.Value("string"),
# "matches": datasets.Sequence(datasets.Value("string")),
"matches": datasets.Value("string"),
"text": datasets.Value("string"),
}),
supervised_keys=None,
)
def _split_generators(self, dl_manager):
my_urls = _URLs[self.config.name]
data_dir = dl_manager.download_and_extract(my_urls)
return [
datasets.SplitGenerator(
name=self.config.name,
gen_kwargs={"filepath": data_dir},
),
]
def _generate_examples(self, filepath):
with open(filepath, encoding="utf-8") as f:
texts = f.readlines()
for i, text in enumerate(texts):
text = json.loads(text)
yield i, text
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