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import datasets
_DESCRIPTION = """\
"""
_URL = "https://www.gutenberg.org/files/2554/2554-h/2554-h.htm"
_DATA_URL = "https://raw.githubusercontent.com/patrickvonplaten/datasets/master/crime_and_punishment.txt"
class CrimeAndPunish(datasets.GeneratorBasedBuilder):
def _info(self):
return datasets.DatasetInfo(
# This is the description that will appear on the datasets page.
description=_DESCRIPTION,
# datasets.features.FeatureConnectors
features=datasets.Features(
{
"line": datasets.Value("string"),
}
),
# If there's a common (input, target) tuple from the features,
# specify them here. They'll be used if as_supervised=True in
# builder.as_dataset.
supervised_keys=None,
homepage=_URL,
)
def _split_generators(self, dl_manager):
"""Returns SplitGenerators."""
data = dl_manager.download_and_extract(_DATA_URL)
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={"data_file": data, "split": "train"},
),
]
def _generate_examples(self, data_file, split):
with open(data_file, "rb") as f:
id_counter = 0
add_text = False
crime_and_punishment_occ_counter = 0
for line in f:
line = line.decode("UTF-8")
if "CRIME AND PUNISHMENT" in line:
crime_and_punishment_occ_counter += 1
add_text = crime_and_punishment_occ_counter == 3
if "End of Project" in line:
add_text = False
if add_text is True:
result = {"line": line}
id_counter += 1
yield id_counter, result
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