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.gitattributes

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README.md

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----
-license: mit
----

custom-and-default-avatars.zip → codecrafters--github-avatars/imagefolder-train.parquet

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 version https://git-lfs.github.com/spec/v1
-oid sha256:26bf5c9a1ec38346526b914eea90156b9597ffad211e73566df558a5ad9efaa6
-size 1408432
+oid sha256:966ce37552fa0607c9ac0609f944bc05cf6370d6bc4051f756ce069b3c99c0df
+size 1443982

custom_vs_default_github_avatars.py

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-"""Custom vs. default GitHub avatars dataset"""
-
-from pathlib import Path
-from typing import List
-
-import datasets
-from datasets.tasks import ImageClassification
-
-
-logger = datasets.logging.get_logger(__name__)
-
-_URL = "https://huggingface.co/datasets/codecrafters/github-avatars/resolve/main/custom-and-default-avatars.zip"
-
-_HOMEPAGE = "https://codecrafters.io"
-
-_DESCRIPTION = "A dataset of custom vs. default GitHub avatars"
-
-
-class CatsVsDogs(datasets.GeneratorBasedBuilder):
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {
-                    "image": datasets.Image(),
-                    "labels": datasets.features.ClassLabel(names=["custom", "default"]),
-                }
-            ),
-            supervised_keys=("image", "labels"),
-            task_templates=[
-                ImageClassification(image_column="image", label_column="labels")
-            ],
-            homepage=_HOMEPAGE,
-        )
-
-    def _split_generators(
-        self, dl_manager: datasets.DownloadManager
-    ) -> List[datasets.SplitGenerator]:
-        images_path = (
-            Path(dl_manager.download_and_extract(_URL)) / "custom-and-default-avatars"
-        )
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN, gen_kwargs={"images_path": images_path}
-            ),
-        ]
-
-    def _generate_examples(self, images_path):
-        logger.info("generating examples from = %s", images_path)
-        for i, filepath in enumerate(images_path.glob("**/*.png")):
-            yield str(i), {
-                "image": str(filepath),
-                "labels": filepath.parent.name.lower(),
-            }