Remove deprecated dataset loading script
Browse files- github-top-projects.py +0 -135
github-top-projects.py
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"""
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Dataset loading script for github-top-projects with multiple configurations
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"""
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import csv
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import datasets
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_CITATION = """\
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@dataset{github_trending_2013_2025,
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title={GitHub Trending Projects Dataset (2013-2025)},
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author={Ronan Takizawa},
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year={2025},
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publisher={Hugging Face},
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url={https://huggingface.co/datasets/ronantakizawa/github-top-projects}
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}
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"""
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_DESCRIPTION = """\
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A comprehensive dataset of 423,098 GitHub trending repository entries spanning 12+ years (August 2013 - November 2025).
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This dataset has two configurations:
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- 'full': Complete daily trending data (423,098 entries)
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- 'monthly': Top 25 repositories per month with weighted scoring (3,200 entries)
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"""
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_HOMEPAGE = "https://huggingface.co/datasets/ronantakizawa/github-top-projects"
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_LICENSE = "MIT"
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_URLS = {
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"full": "github-trending-projects-full.csv",
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"monthly": "github-top-projects-by-month.csv",
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}
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class GitHubTopProjectsConfig(datasets.BuilderConfig):
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"""BuilderConfig for GitHubTopProjects."""
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def __init__(self, **kwargs):
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"""BuilderConfig for GitHubTopProjects.
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Args:
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**kwargs: keyword arguments forwarded to super.
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"""
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super(GitHubTopProjectsConfig, self).__init__(**kwargs)
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class GitHubTopProjects(datasets.GeneratorBasedBuilder):
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"""GitHub Trending Projects Dataset"""
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BUILDER_CONFIGS = [
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GitHubTopProjectsConfig(
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name="full",
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version=datasets.Version("1.0.0"),
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description="Complete daily trending data (423,098 entries)",
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),
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GitHubTopProjectsConfig(
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name="monthly",
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version=datasets.Version("1.0.0"),
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description="Top 25 repositories per month with weighted scoring (3,200 entries)",
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),
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]
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DEFAULT_CONFIG_NAME = "full"
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def _info(self):
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if self.config.name == "full":
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features = datasets.Features(
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{
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"name": datasets.Value("string"),
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"star_count": datasets.Value("int64"),
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"fork_count": datasets.Value("int64"),
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"repo_owner": datasets.Value("string"),
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"rank": datasets.Value("int64"),
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"date": datasets.Value("string"),
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}
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)
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else: # monthly
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features = datasets.Features(
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{
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"month": datasets.Value("string"),
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"rank": datasets.Value("int64"),
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"repository": datasets.Value("string"),
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"repo_owner": datasets.Value("string"),
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"repo_name": datasets.Value("string"),
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"star_count": datasets.Value("int64"),
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"fork_count": datasets.Value("int64"),
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"ranking_appearances": datasets.Value("int64"),
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}
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)
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return datasets.DatasetInfo(
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description=_DESCRIPTION,
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features=features,
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homepage=_HOMEPAGE,
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license=_LICENSE,
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citation=_CITATION,
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)
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def _split_generators(self, dl_manager):
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urls = _URLS[self.config.name]
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data_file = dl_manager.download_and_extract(urls)
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return [
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datasets.SplitGenerator(
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name=datasets.Split.TRAIN,
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gen_kwargs={
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"filepath": data_file,
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},
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),
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]
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def _generate_examples(self, filepath):
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"""Yields examples."""
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with open(filepath, encoding="utf-8") as f:
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reader = csv.DictReader(f)
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for idx, row in enumerate(reader):
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if self.config.name == "full":
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yield idx, {
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"name": row["name"],
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"star_count": int(row["star_count"]) if row["star_count"] else 0,
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"fork_count": int(row["fork_count"]) if row["fork_count"] else 0,
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"repo_owner": row["repo_owner"],
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"rank": int(row["rank"]) if row["rank"] else 0,
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"date": row["date"],
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}
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else: # monthly
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yield idx, {
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"month": row["month"],
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"rank": int(row["rank"]),
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"repository": row["repository"],
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"repo_owner": row["repo_owner"],
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"repo_name": row["repo_name"],
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"star_count": int(row["star_count"]) if row["star_count"] else 0,
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"fork_count": int(row["fork_count"]) if row["fork_count"] else 0,
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"ranking_appearances": int(row["ranking_appearances"]),
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}
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