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# 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 datasets.download.streaming_download_manager import xopen
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):
num_shards = 50_000
data_files = [
f"github-dedup-{_index:012d}.json.gz"
for _index in range(num_shards)
]
files = dl_manager.download(data_files)
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 xopen(file, "rb") as file: # download file if in streaming mode
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] |