Create atlas-preprocessed-code.py

atlas-preprocessed-code.py

@@ -0,0 +1,32 @@
+from datasets import GeneratorBasedBuilder, BuilderConfig, Version, load_dataset
+
+class RepositoryConfig(BuilderConfig):
+    """BuilderConfig for Repository."""
+
+    def __init__(self, language, features, citation, url, **kwargs):
+        super().__init__(name=language, version=Version("1.0.0"), **kwargs)
+        self.features = features
+        self.data_url = f"https://huggingface.co/datasets/AtlasUnified/atlas-preprocessed-code/blob/main/{language.lower()}.jsonl"
+        self.citation = citation
+        self.url = url
+
+
+class Repository(GeneratorBasedBuilder):
+    """The Repository dataset."""
+
+    languages = ['C#', 'C++', 'C', 'Go', 'HTML', 'Haskell', 'Java', 'JavaScript',
+                 'Jupyter', 'Kotlin', 'PHP', 'Perl', 'Python', 'Ruby', 'Rust', 'Shell',
+                 'Swift', 'TypeScript', 'V']
+
+    BUILDER_CONFIGS = [
+        RepositoryConfig(
+            language=language,
+            features=["repo_name", "repo_creator", "programming_language", "code", "num_lines"],
+            citation="Please insert citation here",
+            url=f"https://huggingface.co/datasets/AtlasUnified/atlas-preprocessed-code/blob/main/{language.lower()}.jsonl",
+        ) for language in languages
+    ]
+
+
+# load a specific configuration of the dataset with the configuration name
+dataset = load_dataset('repository', 'C#')