Datasets:
Tasks:
Text Generation
Modalities:
Text
Formats:
webdataset
Languages:
English
Size:
< 1K
Tags:
jira
"""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/resolve/main" | |
_URL = f"{_REPO}/data/jira-comments.tar.gz" | |
class JiraCommentsConfig(datasets.BuilderConfig): | |
"""BuilderConfig for BookCorpus.""" | |
def __init__(self, split, **kwargs): | |
"""BuilderConfig for BookCorpus. | |
Args: | |
**kwargs: keyword arguments forwarded to super. | |
""" | |
super(JiraCommentsConfig, self).__init__(name='jira-comments', split=split, version=datasets.Version("1.0.0", ""), **kwargs) | |
self.path = f"{split}-jira-comments.txt" | |
class JiraComments(datasets.GeneratorBasedBuilder): | |
"""JiraComments dataset.""" | |
BUILDER_CONFIGS = [ | |
JiraCommentsConfig(name='jira-comments', split='train', description="Train split (75%)"), | |
JiraCommentsConfig(name='jira-comments', split='test', description="Test split (25%)"), | |
] | |
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='jira-comments', | |
split=datasets.Split.TRAIN, | |
gen_kwargs={"filepath": os.path.join(data_dir, self.config.path)} | |
), | |
datasets.SplitGenerator( | |
name='jira-comments' | |
split=datasets.Split.TEST, | |
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} | |