Datasets:
Download release.json from NaiveNeuron/github-stars-in-context: direct link, hf CLI and curl.
- Browser
- Download file 4.54 kB
-
https://huggingface.co/datasets/NaiveNeuron/github-stars-in-context/resolve/main/release.json
- Command line
-
hf download hf://datasets/NaiveNeuron/github-stars-in-context/release.json
-
curl -L -o release.json https://huggingface.co/datasets/NaiveNeuron/github-stars-in-context/resolve/main/release.json
4.54 kB
| { | |
| "name": "GitHub Stars in Context", | |
| "version": "1.1.0", | |
| "released": "2026-11-10", | |
| "changes": { | |
| "1.1.0": "Documentation only. The data dictionary is rewritten in plain language, release.json replaces analysis-manifest.json, and licences and access are filled in. The three Parquet files are byte-identical to 1.0.0", | |
| "1.0.0": "First public release (2026-11-10)" | |
| }, | |
| "data": { | |
| "url": "https://huggingface.co/datasets/NaiveNeuron/github-stars-in-context", | |
| "license": "CC-BY-NC-4.0" | |
| }, | |
| "code": { | |
| "url": "https://github.com/NaiveNeuron/github-stars-in-context", | |
| "license": "MIT", | |
| "provenance": "https://github.com/NaiveNeuron/github-stars-in-context/blob/main/PROVENANCE.md" | |
| }, | |
| "doi": null, | |
| "authors": [ | |
| "Mykhailo Pavlov", | |
| "Marek Šuppa" | |
| ], | |
| "counts": { | |
| "accounts": 3671497, | |
| "repository_rows": 53990808, | |
| "retrieval_status": { | |
| "complete": 3615479, | |
| "failed": 56012, | |
| "unknown": 6 | |
| }, | |
| "complete_accounts_without_repository_rows": 372821, | |
| "accounts_with_follower_count": 2520405, | |
| "accounts_without_follower_count": 1151092, | |
| "repository_ids_under_more_than_one_account": 20 | |
| }, | |
| "collection": { | |
| "account_discovery": { | |
| "period": "2025-12-08/2025-12-09", | |
| "basis": "insertion timestamps stored with each account" | |
| }, | |
| "repository_retrieval": { | |
| "period": "2025-12/2026-01", | |
| "basis": "latest stored repository creation date (2026-01-02) and the collector author's recollection. Per-request times were not stored" | |
| }, | |
| "profile_fields": { | |
| "period": "2026-01-28/2026-02-02", | |
| "basis": "stored update timestamps" | |
| }, | |
| "selection": "GitHub GraphQL user search partitioned by follower count (1 or more) and registration date. Search cells above 1,000 results on one registration day were skipped", | |
| "repository_query": "owned, public, non-fork repositories of each account, paginated to the last page" | |
| }, | |
| "collector": { | |
| "repository": "https://github.com/NaiveNeuron/github-stars-in-context/tree/main/collector", | |
| "license": "MIT", | |
| "revision": "fe2d7196f4fe305a7a42bb871d267a751f5513f8", | |
| "policy_id": "git-h-index-fe2d7196-v1", | |
| "classification_basis": "Classes are derived from the collector's stored flags. They were not checked against GitHub", | |
| "empty_refresh_caveat": "The collector deletes obsolete rows only when a refresh returns at least one repository. A successful empty refresh can leave older rows in place", | |
| "execution_history": "Run logs were not kept. PROVENANCE.md in the code repository records what is known", | |
| "source_file_sha256": { | |
| "config.py": "395feea85c2bc1ca64eddc6942c8c8e7bdb52bf5f1edc3fc648833d888e422ef", | |
| "data_fetching/github_parser.py": "5e11db0afccf4e48bb9ec922ee59f1b283361ebc5eab116ef5ced035bb3016e8", | |
| "data_fetching/main.py": "5fbf439f342c33247cd2d9fa274d2746da5943b2f2fad5ffa8a6fcc7c90f6d72", | |
| "data_fetching/users_fetching/fetch_user_links.py": "d23999eb87985b6b444431a9585917aae6b905b8ffb6dc715c6463235feb7a98", | |
| "data_fetching/users_fetching/fetch_user_profile.py": "1efce9b500f5a581f73e0603ce25e0c751c260b5b7733218c6cf1872ca8aea5b", | |
| "data_fetching/users_fetching/popular_users.py": "a4ca76eeb6c5338f648a398ff0dfe72db8b69782863fe7b22cb142fcedbdbe73", | |
| "data_storage/database.py": "ed5ca3e99ce6826cea7ef679a609ef2a0dc3dde3f8e1e913c90d28425869e3b3" | |
| } | |
| }, | |
| "export": { | |
| "date": "2026-11-06", | |
| "script": "scripts/export_release.py", | |
| "source_database_sha256": "6feb097dfbcebbdbde2ba3bab24b65be7565b0eac6735dd28b7b86a1a31743c8", | |
| "input_manifest": "release/manifest.json in the code repository", | |
| "evidence": "expected/export.json in the code repository" | |
| }, | |
| "excluded_source_fields": { | |
| "repositories": [], | |
| "user_links": "whole table", | |
| "users": [ | |
| "bio", | |
| "bio_length", | |
| "company", | |
| "following_count", | |
| "links_parsed_at", | |
| "location", | |
| "organizations_count", | |
| "sponsors_count" | |
| ] | |
| }, | |
| "files": { | |
| "users.parquet": { | |
| "bytes": 95818356, | |
| "sha256": "31e2ed1dca49096c58d3b0a19f9615a1bc32425d446fba531975dd08f5c5599c", | |
| "rows": 3671497 | |
| }, | |
| "repositories.parquet": { | |
| "bytes": 1532435781, | |
| "sha256": "d80d8171e1965b86adc40d8f361cf141a3d974d0e3c67653f9cf1f334b36c7dc", | |
| "rows": 53990808 | |
| }, | |
| "portfolios.parquet": { | |
| "bytes": 57527775, | |
| "sha256": "4128b044e943fc1c1c0964cb792d29babdc0a65d6d0f35ccd42b5383e509e050", | |
| "rows": 3671497 | |
| } | |
| } | |
| } | |