Datasets:
Tasks:
Text Generation
Modalities:
Text
Formats:
webdataset
Languages:
English
Size:
< 1K
Tags:
jira
File size: 1,969 Bytes
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"""The BookCorpus dataset."""
import datasets
import os
_DESCRIPTION = """\
Dataset of jira comments from different projects of Apache and more.
"""
_CITATION = """\
@InProceedings{Zhu_2015_ICCV,
title = {Jira commentaries},
author = {Filipp Abapolov},
month = {Fubruary},
year = {2023}
}
"""
_REPO = "https://huggingface.co/datasets/pheepa/jira-comments"
_URL = f"/data/{_REPO}/jira-comments.tar.gz"
class JiraCommentsConfig(datasets.BuilderConfig):
"""BuilderConfig for BookCorpus."""
def __init__(self, **kwargs):
"""BuilderConfig for BookCorpus.
Args:
**kwargs: keyword arguments forwarded to super.
"""
super(JiraCommentsConfig, self).__init__(version=datasets.Version("1.0.0", ""), **kwargs)
self.path = "jira-comments.txt"
class JiraComments(datasets.GeneratorBasedBuilder):
"""JiraComments dataset."""
BUILDER_CONFIGS = [
JiraCommentsConfig(
name="plain_text",
description="Plain text",
)
]
def _info(self):
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=datasets.Features(
{
"text": datasets.Value("string"),
}
),
supervised_keys=None,
citation=_CITATION,
)
def _split_generators(self, dl_manager):
"""Returns SplitGenerators."""
data_dir = dl_manager.download_and_extract(_URL)
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
# These kwargs will be passed to _generate_examples
gen_kwargs={"filepath": os.path.join(data_dir, self.config.path)},
),
]
def _generate_examples(self, filepath):
"""Yields examples."""
with open(filepath, 'r') as f:
for id_, line in enumerate(f):
yield id_, {"text": line}
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