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juliensimon/astronomer-database

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Hugging Face2026-04-02 更新2026-04-12 收录
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--- license: cc0-1.0 pretty_name: "Astronomer Database" language: - en description: >- A comprehensive database of astronomers throughout history, sourced from Wikidata. 11,613 astronomers from 266 countries with fields of work, awards, and employer history. size_categories: - 10K<n<100K task_categories: - tabular-classification tags: - space - astronomy - astronomers - wikidata - open-data - tabular-data - parquet configs: - config_name: default default: true data_files: - split: train path: data/astronomers.parquet --- # Astronomer Database *Part of the [Astronomy Datasets](https://huggingface.co/collections/juliensimon/astronomy-datasets-69c24caf2f17e36128946743) collection on Hugging Face.* Complete database of astronomers throughout history — **11,613** individuals from **266** countries, sourced from [Wikidata](https://www.wikidata.org/). ## Dataset description From ancient stargazers to modern astrophysicists, this dataset captures the lives and work of astronomers across the ages. It spans from historical figures like Galileo Galilei and Johannes Kepler to contemporary researchers studying gravitational waves, exoplanets, and the large-scale structure of the universe. The dataset includes birth/death dates, sex, nationality, employer history (universities, observatories, research institutions), awards received (Nobel Prize, etc.), and fields of work (cosmology, planetary science, stellar physics, etc.). This enables historical analysis of the astronomy profession, diversity-in-STEM research, and bibliometric studies of scientific communities. Sourced from Wikidata's structured knowledge base (property P106=Q11063 for occupation: astronomer), which is maintained by the Wikipedia/Wikidata community and updated continuously. ## Schema | Column | Type | Description | |--------|------|-------------| | `wikidata_id` | string | Wikidata entity ID (e.g. Q935) | | `name` | string | Full name | | `birth_date` | string | Date of birth (YYYY-MM-DD) | | `death_date` | string | Date of death if deceased | | `sex` | string | Sex (male/female) | | `nationality` | string | Nationality | | `employers` | string | Employers, semicolon-separated (universities, observatories, institutes) | | `awards` | string | Awards received, semicolon-separated | | `fields_of_work` | string | Fields of work, semicolon-separated (e.g. astrophysics, cosmology) | | `birth_year` | int | Year of birth (derived) | ## Quick stats - **11,613** astronomers from **266** countries - **9,685** male, **1,394** female - **3,025** with recorded fields of work - **2,466** with recorded awards - Top nationalities: United States (1,563), Germany (564), France (556), United Kingdom (360), Italy (280) ## Usage ```python from datasets import load_dataset ds = load_dataset("juliensimon/astronomer-database", split="train") df = ds.to_pandas() # Astronomers by nationality print(df["nationality"].value_counts().head(10)) # Female astronomers female = df[df["sex"] == "female"] print(f"{len(female):,} female astronomers") # Astronomers by field cosmologists = df[df["fields_of_work"].str.contains("cosmology", case=False, na=False)] print(f"{len(cosmologists):,} cosmologists") # Award winners nobel = df[df["awards"].str.contains("Nobel", na=False)] print(f"{len(nobel):,} Nobel Prize recipients") # University affiliation cambridge = df[df["employers"].str.contains("Cambridge", na=False)] print(f"{len(cambridge):,} Cambridge-affiliated astronomers") ``` ## Data source [Wikidata](https://www.wikidata.org/) SPARQL endpoint. Astronomers identified via property P106 (occupation) = Q11063 (astronomer). Data is community-curated and updated continuously by Wikipedia editors worldwide. ## Update schedule Quarterly (January, April, July, October). Re-run manually at any time to pick up new entries. ## Related datasets - [astronaut-database](https://huggingface.co/datasets/juliensimon/astronaut-database) — Every person who has traveled to space - [observatory-database](https://huggingface.co/datasets/juliensimon/observatory-database) — Astronomical observatories worldwide ## Pipeline Source code: [juliensimon/space-datasets](https://github.com/juliensimon/space-datasets) ## Support If you find this dataset useful, please give it a ❤️ on the [dataset page](https://huggingface.co/datasets/juliensimon/astronomer-database) and share feedback in the Community tab! Also consider giving a ⭐️ to the [space-datasets](https://github.com/juliensimon/space-datasets) repo. ## Citation ```bibtex @dataset{astronomer_database, author = {Simon, Julien}, title = {Astronomer Database}, year = {2026}, publisher = {Hugging Face}, url = {https://huggingface.co/datasets/juliensimon/astronomer-database}, note = {Sourced from Wikidata (CC0)} } ``` ## License [CC0-1.0](https://creativecommons.org/publicdomain/zero/1.0/) (Wikidata content is public domain)
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