Datasets:
Update comet catalog: 1,278 comets
Browse files- README.md +142 -0
- data/comets.parquet +3 -0
README.md
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---
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license: cc0-1.0
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pretty_name: "Comet Catalog"
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language:
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- en
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description: >-
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Catalog of comets sourced from Wikidata, including orbital parameters,
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discovery dates, discoverers, and named-after information.
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1,278 comets with orbital mechanics data.
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size_categories:
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- 1K<n<10K
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task_categories:
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- tabular-classification
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tags:
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- space
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- comets
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- orbital-mechanics
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- wikidata
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- open-data
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- tabular-data
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- parquet
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configs:
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- config_name: default
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default: true
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data_files:
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- split: train
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path: data/comets.parquet
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---
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# Comet Catalog
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*Part of the [Orbital Mechanics Datasets](https://huggingface.co/collections/juliensimon/orbital-mechanics-datasets-69c24caca4ab3934c9856994) collection on Hugging Face.*
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Catalog of **1,278** comets sourced from [Wikidata](https://www.wikidata.org/), covering
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orbital parameters, discovery history, and naming origins.
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## Dataset description
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Comets are small icy bodies that develop a coma and tails when approaching the Sun.
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They originate from the Kuiper Belt and Oort Cloud and follow highly eccentric orbits
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ranging from short-period comets (< 200 years) to long-period and hyperbolic visitors.
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This dataset aggregates structured comet data from Wikidata's SPARQL endpoint, capturing
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orbital mechanics (period, perihelion distance, eccentricity, inclination), discovery
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metadata (date, discoverer), and cultural information (named-after entities). It covers
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historically significant comets like Halley's Comet and Hale-Bopp through recently
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discovered objects.
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The data enables studies of comet population statistics, orbital dynamics, discovery
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rate trends over time, and the history of comet observation and naming conventions.
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## Schema
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| Column | Type | Description |
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|--------|------|-------------|
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| `wikidata_id` | string | Wikidata entity ID (e.g. Q1390) |
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| `name` | string | Comet name or designation |
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| `discovery_date` | string | Date of discovery (YYYY-MM-DD) |
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| `discoverer` | string | Name of discoverer(s) |
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| `orbital_period_yr` | float | Orbital period (years) |
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| `perihelion_au` | float | Perihelion distance (AU) |
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| `eccentricity` | float | Orbital eccentricity |
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| `inclination_deg` | float | Orbital inclination (degrees) |
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| `named_after` | string | Entity the comet is named after |
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| `epoch` | string | Orbital element epoch (YYYY-MM-DD) |
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| `discovery_year` | int | Year of discovery (derived) |
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## Quick stats
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- **1,278** comets in catalog
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- **813** with orbital period data
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- **1,225** with perihelion distance
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- **1,227** with eccentricity
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- **728** with named discoverer
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- Discovery years: 1680 – 2026
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- Top discoverers: Lincoln Near-Earth Asteroid Research (56), Pan-STARRS (27), Jean-Louis Pons (26), Andrea Boattini (23), Near-Earth Asteroid Tracking (21)
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## Usage
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```python
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from datasets import load_dataset
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ds = load_dataset("juliensimon/comet-catalog", split="train")
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df = ds.to_pandas()
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# Short-period comets (period < 200 years)
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short_period = df[df["orbital_period_yr"] < 200].dropna(subset=["orbital_period_yr"])
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print(f"{len(short_period):,} short-period comets")
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# Most recently discovered comets
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recent = df.dropna(subset=["discovery_year"]).nlargest(10, "discovery_year")
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print(recent[["name", "discovery_year", "discoverer"]])
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# Highly eccentric comets (near-parabolic or hyperbolic)
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high_ecc = df[df["eccentricity"] >= 0.99].dropna(subset=["eccentricity"])
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print(high_ecc[["name", "eccentricity", "orbital_period_yr"]])
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# Comets by perihelion distance
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inner = df[df["perihelion_au"] < 0.3].dropna(subset=["perihelion_au"])
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print(f"{len(inner):,} sungrazing comets (perihelion < 0.3 AU)")
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```
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## Data source
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[Wikidata](https://www.wikidata.org/) SPARQL endpoint. Comets identified via
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P31 (instance of) / P279* (subclass of) traversal from Q3559 (comet).
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Data is community-curated by [WikiProject Astronomy](https://www.wikidata.org/wiki/Wikidata:WikiProject_Astronomy).
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## Update schedule
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Quarterly (January, April, July, October). Run `python scripts/update-comets.py` manually to refresh.
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## Related datasets
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- [mpc-comet-elements](https://huggingface.co/datasets/juliensimon/mpc-comet-elements) -- MPC orbital elements for comets
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- [jpl-small-body-database](https://huggingface.co/datasets/juliensimon/jpl-small-body-database) -- JPL small body orbital data
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- [fireball-bolide-events](https://huggingface.co/datasets/juliensimon/fireball-bolide-events) -- Fireball and bolide events
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## Pipeline
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Source code: [juliensimon/space-datasets](https://github.com/juliensimon/space-datasets)
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## Support
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If you find this dataset useful, please give it a ❤️ on the [dataset page](https://huggingface.co/datasets/juliensimon/comet-catalog) and share feedback in the Community tab! Also consider giving a ⭐️ to the [space-datasets](https://github.com/juliensimon/space-datasets) repo.
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## Citation
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```bibtex
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@dataset{comet_catalog,
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author = {Simon, Julien},
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title = {Comet Catalog},
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year = {2026},
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publisher = {Hugging Face},
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url = {https://huggingface.co/datasets/juliensimon/comet-catalog},
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note = {Sourced from Wikidata (CC0)}
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}
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```
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## License
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[CC0-1.0](https://creativecommons.org/publicdomain/zero/1.0/) (Wikidata content is public domain)
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data/comets.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:a1cd91ae60c5f5d4742561335d38acae7cc9c0659606bc1e59869a81af3faed3
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size 73715
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