Delete atlas-preprocessed-code.py

atlas-preprocessed-code.py

@@ -1,99 +0,0 @@
-import gzip
-import json
-
-import datasets
-
-logger = datasets.logging.get_logger(__name__)
-
-
-_HOMEPAGE = "https://github.com/atlasunified"
-
-
-_DESCRIPTION = "\
-Your description here.\
-"
-
-_LICENSE = "odc-by"
-
-_VARIANTS = {
-    "C#": {
-        "version": "1.0.0",
-        "download_size": 12345678,  # replace with actual size
-        "dataset_size": 12345678,   # replace with actual size
-        "splits": {
-            "train": {
-                "num_bytes": 12345678,  # replace with actual size
-                "num_examples": 12345678,   # replace with actual size
-                "files": [
-                    "data/C#.jsonl",
-                    # continue with other file paths...
-                ],
-            },
-        },
-    },
-    "C++": {
-        # similar structure as above, replace with actual data
-    },
-    # continue for other languages...
-}
-
-_FEATURES = datasets.Features(
-    added=datasets.Value("string"),
-    created=datasets.Value("string"),
-    id=datasets.Value("string"),
-    source=datasets.Value("string"),
-    text=datasets.Value("string"),
-    version=datasets.Value("string"),
-)
-
-_CITATION = """\
-Your citation here.
-"""
-
-
-class MyHFRepo(datasets.GeneratorBasedBuilder):
-    """Your dataset description here."""
-
-    BUILDER_CONFIGS = [
-        datasets.BuilderConfig(name=name, version=config["version"])
-        for name, config in _VARIANTS.items()
-    ]
-
-    DEFAULT_CONFIG_NAME = "C#"  # replace with the language you want as default
-
-    def _info(self):
-        """Give information and typings for the dataset."""
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=_FEATURES,
-            supervised_keys=None,
-            homepage=_HOMEPAGE,
-            license=_LICENSE,
-            citation=_CITATION,
-            dataset_size=_VARIANTS[self.config.name]["dataset_size"],
-            download_size=_VARIANTS[self.config.name]["download_size"],
-        )
-
-    def _split_generators(self, dl_manager):
-        train_downloaded_files = dl_manager.download(
-            _VARIANTS[self.config.name]["splits"]["train"]["files"]
-        )
-        return [
-            datasets.SplitGenerator(
-                name=str(datasets.Split.TRAIN),
-                gen_kwargs={"filepaths": train_downloaded_files},
-            ),
-        ]
-
-    def _generate_examples(self, filepaths):
-        """This function returns the examples in the raw (text) form by
-        iterating on all the files."""
-        id_ = 0
-        for filepath in filepaths:
-            logger.info("generating examples from = %s", filepath)
-            with gzip.open(open(filepath, "rb"), "rt", encoding="utf-8") as f:
-                for line in f:
-                    if line:
-                        example = json.loads(line)
-                        yield id_, example
-                        id_ += 1