added data loader

code_clippy_github.py

@@ -0,0 +1,213 @@
+# 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"),
+                                        "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:
+                #parquet_file = pq.ParquetFile(f)
+                uncompressed_data = f.readlines()
+                
+                for batch_idx, code_base in enumerate(uncompressed_data):
+                    j_dict = json.loads(code_base.decode('utf-8'))
+                    # pa_table = pa.Table.from_batches([record_batch])
+                   
+                        
+                    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
+                    
+                    yield key, {"code": j_dict['content'],
+                                "repo_name": j_dict['repo_name'],
+                                "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]