Datasets:
File size: 7,329 Bytes
f875f18 cd4c9ae f875f18 85230dc f875f18 85230dc f875f18 cd4c9ae f875f18 cd4c9ae f875f18 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 |
# coding=utf-8
# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
#
# 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.
# Special thanks to @lvwerra -- we reference his repository here: https://huggingface.co/datasets/lvwerra/github-code/
"""Code Clippy Github Code dataset."""
import os
import datasets
from huggingface_hub import HfApi, HfFolder
from datasets.data_files import DataFilesDict
import gzip
import json
_REPO_NAME = "CodedotAI/code_clippy_github"
_LANG_TO_EXTENSION = {
"C": [".c"],
"C#": [".cs"],
"C++": [".cpp"],
"CSS": [".css"],
"Dart" : [".dart"],
"GO": [".go"],
"HTML":[".html"],
"Java": [".java"],
"JavaScript": [".js"],
"Jupyter Notebooks (Python)": [".ipynb"],
"Kotlin" : [".kt"],
"Lisp" : [".lisp"],
"Matlab" : [".m"],
"PHP": [".php"],
"Perl": [".pl"],
"Python": [".py"],
"R" : [".r"],
"Ruby": [".rb"],
"Rust": [".rs"],
"SQL": [".sql"],
"Shell": [".sh"],
"Swift" : [".swift"],
"TypeScript": [".ts"],
}
_LICENSES = [
'mit',
'apache-2.0',
'gpl-2.0',
'gpl-3.0',
'bsd-3-clause',
'bsd-2-clause',
'unlicense',
'apacheagpl-3.0',
'lgpl-3.0',
'cc0-1.0',
'epl-1.0',
'lgpl-2.1',
'mpl-2.0',
'isc',
'artistic-2.0'
]
_DESCRIPTION = """\
The Code Clippy dataset consists of various public codebases from GitHub in 22 programming languages with 23 extensions \
totalling about 16 TB of data when uncompressed. The dataset was created from the public GitHub dataset on Google BiqQuery.
"""
_HOMEPAGE = "https://cloud.google.com/blog/topics/public-datasets/github-on-bigquery-analyze-all-the-open-source-code/"
_EXTENSION_TO_LANG = {}
for lang in _LANG_TO_EXTENSION:
for extension in _LANG_TO_EXTENSION[lang]:
_EXTENSION_TO_LANG[extension] = lang
_LANG_CONFIGS = ["all"] + list(_LANG_TO_EXTENSION.keys())
_LICENSE_CONFIGS = ["all"] + _LICENSES
class CodeClippyGithubConfig(datasets.BuilderConfig):
"""BuilderConfig for the Code Clippy Github dataset."""
def __init__(self, *args, languages=["all"], licenses=["all"], **kwargs):
"""BuilderConfig for the Code Clippy Github dataset.
Args:
languages (:obj:`List[str]`): List of languages to load.
licenses (:obj:`List[str]`): List of licenses to load.
**kwargs: keyword arguments forwarded to super.
"""
super().__init__(
*args,
name="+".join(languages)+"-"+"+".join(licenses),
**kwargs,
)
languages = set(languages)
licenses = set(licenses)
assert all([language in _LANG_CONFIGS for language in languages]), f"Language not in {_LANG_CONFIGS}."
assert all([license in _LICENSE_CONFIGS for license in licenses]), f"License not in {_LICENSE_CONFIGS}."
if "all" in languages:
assert len(languages)==1, "Passed 'all' together with other languages."
self.filter_languages = False
else:
self.filter_languages = True
if "all" in licenses:
assert len(licenses)==1, "Passed 'all' together with other licenses."
self.filter_licenses = False
else:
self.filter_licenses = True
self.languages = set(languages)
self.licenses = set(licenses)
class CodeClippyGithub(datasets.GeneratorBasedBuilder):
"""Code Clippy Github dataset."""
VERSION = datasets.Version("1.0.0")
BUILDER_CONFIG_CLASS = CodeClippyGithubConfig
BUILDER_CONFIGS = [CodeClippyGithubConfig(languages=[lang], licenses=[license]) for lang in _LANG_CONFIGS
for license in _LICENSE_CONFIGS]
DEFAULT_CONFIG_NAME = "all-all"
def _info(self):
return datasets.DatasetInfo(
description=_DESCRIPTION,
features=datasets.Features({"code_text": datasets.Value("string"),
"repo_name": datasets.Value("string"),
"file_path": datasets.Value("string"),
"language": datasets.Value("string"),
"license": datasets.Value("string"),
"size": datasets.Value("int32")}),
supervised_keys=None,
homepage=_HOMEPAGE,
license="Multiple: see the 'license' field of each sample.",
)
def _split_generators(self, dl_manager):
hfh_dataset_info = HfApi(datasets.config.HF_ENDPOINT).dataset_info(
_REPO_NAME,
timeout=100.0,
)
patterns = datasets.data_files.get_patterns_in_dataset_repository(hfh_dataset_info)
data_files = datasets.data_files.DataFilesDict.from_hf_repo(
patterns,
dataset_info=hfh_dataset_info,
)
files = dl_manager.download_and_extract(data_files["train"])
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
gen_kwargs={
"files": files,
},
),
]
def _generate_examples(self, files):
key = 0
for file_idx, file in enumerate(files):
with gzip.open(file, "rb") as f:
uncompressed_data = f.readlines()
for batch_idx, code_base in enumerate(uncompressed_data):
j_dict = json.loads(code_base.decode('utf-8'))
lang = lang_from_name(j_dict['path'])
license = j_dict["license"]
if self.config.filter_languages and not lang in self.config.languages:
continue
if self.config.filter_licenses and not license in self.config.licenses:
continue
# TODO: Add more features like header comments, filename, and other features useful in a prompt.
yield key, {"code_text": j_dict['content'],
"repo_name": j_dict['repo_name'],
"file_path": j_dict['path'],
"license": license,
"language": lang,
"size": int(j_dict['f0_'])}
key += 1
def lang_from_name(name):
for extension in _EXTENSION_TO_LANG:
if name.endswith(extension):
return _EXTENSION_TO_LANG[extension] |