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# Copyright 2020 The HuggingFace Datasets Authors and Serivce Now Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""This is a loading script for the Stack-Repo dataset"""
import csv
import json
import os
from pathlib import Path
import datasets
_CITATION = """\
@InProceedings{__placeholder__,
title = {__placeholder__},
author={__placeholder__
},
year={2023}
}
"""
_DESCRIPTION = """\
This is the Stack-Repo dataset
"""
_HOMEPAGE = "https://huggingface.co/datasets/RepoFusion/Stack-Repo"
_LICENSE = "other"
_SOURCES = {
'test': [
'thekoc', 'JellyBrother', 'shuli495', 'xiao-ren-wu', 'UzcDevelopmentTeam', 'Penguinz22', 'andrewvmail',
'richard-trotter', 'SlimPay', 'teknux-org', 'FIXTradingCommunity', 'Juliana-Felipe', 'exasol', 'iBiber',
'sebaslogen', 'billmcchesney1', 'ms-showcase', 'mP1', 'yokotaso', 'ErikHage', 'shadaileng', 'regular-project',
'wiwilin', '1273091433', 'liangxiong3403', 'wangzlei', 'Vitaliy-Yakovchuk', 'anshul-mohil', 'MarceloCavassani',
'cwhelan', 'score-server', 'meyer5', 'SeSac-Cloud-Backend-4', 'Hugo-Gao', 'Olivia0202', 'IceIce1ce', '4pxzhou',
'bboylin', 'acolebourne', '1725762388', 'iViolinSolo', 'diaolingzc', 'trungtuan', 'havenmoney', 'speak2me',
'VincenzoArceri', 'exadel-inc', 'JohnReeson', 'CyiceK', 'Vooy'
],
'train': [
'ValeriyKnyazhev', 'leshiv', 'MfromAzeroth', 'wugjin', 'MarbleDice', 'hivijayreddy', 'sidpatel-github',
'hellorizon', 'CreativePenguin', 'maulikpandey', 'a630140621', 'luminiusa', 'ot-maksim', 'akash-coded',
'eddiewgj', 'a616707902', 'oasis9', 'DeyanZhelyazkov', 'yweng47', 'JCThePants', 'Gorlem', 'dongjihui666',
'mediatrue', 'david2999999', 'comme-il-faut', 'jannal', 'tfjybj', 'DimkaGorhover', 'ZhangTizo', 'CIDARLAB',
'DwArFeng', 'mbarkley', 'VladRomanchuk', 'vivekmalhotragithub', 'android-little-boy', 'patrik999', 'madanalogy',
'TheTrueColonel', 'TreeZhiyuan', 'sistcoop', 'java-ea', 'DarwinReforged', 'DougEdey', '402d', 'wangdingfeng',
'WeiziPlus', 'fabionery', 'famartinrh', 'rghvgrv', 'QuincySx', 'raphaelcohn', 'hYdos', 'tacticalrce',
'danielkrajnik', 'SeanDecker1', 'bahaahussein', 'Team1772', 'zengfanmao', 'Hopp-Stu', 'My-DIGI-ID', 'slickqa',
'opentok', 'Manolomon', 'denhatmong', 'baishuo', 'zli78122', 'kenichi-ando', 'pengcash', 'Princelo',
'RuthDirnfeld', 'HRI-EU', 'jan438', 'sd2438892', 'rsofista', 'mpsitech', 'AvaN0x', 'JDode', 'dreadwail',
'pcjs156', 'MrWe', 'smallxiongxiong', 'wuxinlingluan', 'FLxmw', 'TransFICC', 'fengpod', 'orient33', 'hamsterxc',
'diegolemospadilha', 'CheRut', 'ToreAad', 'AndrewHYC', 'Azagwen', 'Ndivhuwo', 'gou02rav32', 'CDZR0',
'MFunction96', 'google', 'mariodavid', 'jacksontenorio8', 'DieguinhoHR'
],
'val': [
'malcolmgreaves', 'atlasapi', 'HeXavi8', 'fank243', 'StealWonders', 'asyakasimova', 'truthiswill',
'swiatecki', 'yanjingfan', 'vamnoize', 'Eugenemdk', 'explodingnuggets', 'MartinItsLinda',
'Web-Programmer-B-P', 'SergeyZhernovoy', 'sunhaidong', 'marcogrella', 'C0DEC0L0NY', 'JustinZuidgeest',
'ShareWiFi', 'ConusDaktis', 'lqhshishen', 'vaginessa', 'Juansero29', 'meghbhalerao', 'YunLemon',
'MeiVinEight', 'Huawei-DTSE-India-Delhi-NCR', 'ym-monkey', 'Selim042', 'ValentinGiboulot', 'jesusbmx',
'FantasybabyChange', 'zegelin', 'MeasureAuthoringTool', 'death-knight', 'abargnesi', 'cmunilla',
'sladyn98', 'jhaprabhatt', 'smartsv-dev', 'Lavaong', 'ShahabGT', 'WXB2010', 'digideskio', 'p1r9t3',
'chathamabate', 'heymysweetheart', 'blockchain-etl', 'Jeniel557'
]
}
class StackRepo(datasets.GeneratorBasedBuilder):
"""This is a builder class for the Stack-Repo dataset"""
VERSION = datasets.Version("1.0.0")
BUILDER_CONFIGS = [
datasets.BuilderConfig(
name="bm25_contexts",
version=VERSION,
description="This part of the dataset covers bm25 contexts"
),
datasets.BuilderConfig(
name="PP_contexts",
version=VERSION,
description="This part of the dataset covers PP contexts"
),
datasets.BuilderConfig(
name="randomNN_contexts",
version=VERSION,
description="This part of the dataset covers randomNN contexts"
),
datasets.BuilderConfig(
name="sources",
version=VERSION,
description="This part of the dataset covers java file sources used in building other configurations"
),
]
def _info(self):
if self.config.name == 'sources':
features = datasets.Features({
'file': datasets.Value('string'),
'content': datasets.Value('string')
})
else:
features = datasets.Features({
'id': datasets.Value('string'),
'hole_file': datasets.Value('string'),
'hole_line': datasets.Value('int32'),
'hole_pos': datasets.Value('int32'),
'question': datasets.Value('string'),
'target': datasets.Value('string'),
'answers': datasets.Sequence(
datasets.Value('string')
),
'ctxs': [{
'title': datasets.Value('string'),
'text': datasets.Value('string'),
'score': datasets.Value('float64')
}]
})
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=features,
homepage=_HOMEPAGE,
license=_LICENSE,
citation=_CITATION,
)
@property
def manual_download_instructions(self):
# We are ok if user specifies local path instead of dataset name and data_dir
# for sources configuration and other configurations can be downloaded from the hub
# automatically. So, we manipulate return value here to get around manual_dir is None
# check in _check_manual_download
# NOTE: this hack can broke if implementaion of the _check_manual_download will change
# TODO: override _check_manual_download instead
if self.config.name == 'sources':
if not self.dl_manager.manual_dir is None:
base_path = Path(self.dl_manager.manual_dir)
else:
base_path = Path(self.base_path)
if base_path.expanduser().absolute().is_dir():
return None
return (
"first download the dataset to a local folder with "
"git clone https://huggingface.co/datasets/RepoFusion/Stack-Repo "
"<path/to/manual/data>"
)
else:
return None
def _split_generators(self, dl_manager):
splits = [
(datasets.Split.TRAIN, 'train'),
(datasets.Split.TEST, 'test'),
(datasets.Split.VALIDATION, 'val')
]
if not dl_manager.manual_dir is None:
base_path = Path(dl_manager.manual_dir)
else:
base_path = Path(self.base_path)
if self.config.name == 'sources':
src = {
split[0]: [
el.relative_to(base_path)
for el in (base_path / f'data/{split[1]}/').rglob('*.java')
]
for split in splits
}
else:
src = {
split[0]: [
f'data/{split[1]}/{el}/hole_and_{self.config.name}.json'
for el in _SOURCES[split[1]]
]
for split in splits
}
data_dir = dl_manager.download_and_extract(src)
return [
datasets.SplitGenerator(
name=split[0],
gen_kwargs={
"filepaths": data_dir[split[0]],
"base_path": base_path
},
)
for split in splits
]
def _generate_examples(self, filepaths, base_path):
for filepath in filepaths:
if self.config.name == 'sources':
filepath = Path(filepath)
file = str(filepath.relative_to(base_path))
yield file, {
'file': file,
'content': filepath.read_text()
}
else:
with open(filepath, encoding="utf-8") as f:
for row in f:
data = json.loads(row)
parts = data['id'].rsplit('_', 2)
data['hole_file'] = str(base_path / parts[0])
data['hole_line'] = int(parts[1])
data['hole_pos'] = int(parts[2])
yield data['id'], data
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