Datasets:
Update spacecraft database: 8,874 spacecraft
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README.md
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pretty_name: "Spacecraft Database"
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language:
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- en
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description:
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Comprehensive database of spacecraft sourced from Wikidata.
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8,840 spacecraft including satellites, probes, and space stations,
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with launch dates, operators, manufacturers, and orbital parameters.
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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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- 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/spacecraft.parquet
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---
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# Spacecraft Database
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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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## Dataset description
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The dataset draws on Wikidata's structured knowledge base using the spacecraft class (Q40218) and all its subclasses. It is maintained by the WikiProject Spaceflight community and updated as new spacecraft are launched and documented.
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## Schema
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| Column | Type | Description |
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|--------|------|-------------|
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| `wikidata_id` |
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| `name` | string | Spacecraft name |
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| `launch_date` |
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| `launch_year` | int | Launch year (derived from launch_date) |
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## Quick stats
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- **8,
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- **7,
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- **1,
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- **
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- Date range: 1957-10-04 to 2039-01-01
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- Top operators: National Aeronautics and Space Administration (
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- Top orbital regimes: geostationary orbit (
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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/spacecraft-database", split="train")
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df = ds.to_pandas()
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# Spacecraft by orbital regime
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print(df["orbit_type"].value_counts().head(10))
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#
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# Heaviest spacecraft
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heaviest = df.nlargest(10, "mass_kg")[["name", "operator", "mass_kg", "orbit_type"]]
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print(heaviest)
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# Still operational (no decommission date)
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operational = df[df["decommissioned_date"].isna() & df["launch_date"].notna()]
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print(f"{len(operational):,} spacecraft with no recorded decommission date")
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```
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## Data source
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property P31 (instance of) = Q40218 (spacecraft) and all subclasses via P279*.
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Data is community-curated by [WikiProject Spaceflight](https://www.wikidata.org/wiki/Wikidata:WikiProject_Spaceflight).
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## Update schedule
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Quarterly (January, April, July, October).
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## Related datasets
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- [space-missions](https://huggingface.co/datasets/juliensimon/space-missions)
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##
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## Citation
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```bibtex
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@dataset{spacecraft_database,
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author = {Simon, Julien},
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title = {Spacecraft Database},
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year = {2026},
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publisher = {Hugging Face},
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url = {https://huggingface.co/datasets/juliensimon/spacecraft-database},
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}
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```
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## License
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[CC0-1.0](https://creativecommons.org/
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pretty_name: "Spacecraft Database"
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language:
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- en
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description: "Comprehensive database of spacecraft sourced from Wikidata — satellites, probes, space stations, and more — spanning the entire history of the Space Age. From the earliest Sputnik satellites to moder"
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task_categories:
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- tabular-classification
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tags:
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- open-data
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- tabular-data
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- parquet
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size_categories:
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- 1K<n<10K
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/spacecraft.parquet
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default: true
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---
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# Spacecraft Database
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<div align="center">
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<img src="banner.jpg" alt="Voyager spacecraft artist concept" width="400">
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<p><em>Credit: NASA/JPL-Caltech</em></p>
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</div>
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*Part of a [dataset collection](https://huggingface.co/collections/juliensimon/orbital-mechanics-datasets-69c24caca4ab3934c9856994) on Hugging Face.*
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## Dataset description
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Comprehensive database of spacecraft sourced from Wikidata — satellites, probes, space stations, and more — spanning the entire history of the Space Age.
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From the earliest Sputnik satellites to modern mega-constellations and deep space probes, this dataset catalogs spacecraft across seven decades of spaceflight. Each record includes launch and decommission dates, operating agency, manufacturer, orbital regime, mass, and associated mission where available.
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The dataset draws on Wikidata's structured knowledge base using the spacecraft class (Q40218) and all its subclasses. It is maintained by the WikiProject Spaceflight community and updated as new spacecraft are launched and documented.
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This dataset is suitable for **tabular classification** tasks.
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## Schema
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| Column | Type | Description | Sample | Null % |
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|--------|------|-------------|--------|--------|
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| `wikidata_id` | str | Wikidata entity ID (e.g. 'Q48371'); stable URI used for cross-referencing enrichment sources | Q80811 | 0.0% |
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| `name` | string | Spacecraft name as recorded in Wikidata (e.g. 'Hubble Space Telescope', 'Sputnik 1', 'Starlink-1234') | Sputnik 1 | 0.0% |
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| `launch_date` | str | ISO 8601 UTC launch date in YYYY-MM-DD format; null if the spacecraft has not yet launched or date is unknown | 1957-10-04 | 16.1% |
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| `operator` | string | Agency or organization operating the spacecraft (e.g. 'NASA', 'ESA', 'SpaceX', 'Roscosmos'); null if not recorded in Wikidata | Soviet Union | 68.8% |
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| `manufacturer` | string | Organization that built the spacecraft bus (e.g. 'Boeing', 'Lockheed Martin', 'Airbus'); null if not recorded | S.P. Korolev Rocket and Space Corpora... | 73.3% |
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| `orbit_type` | string | Orbital regime (e.g. 'LEO', 'GEO', 'heliocentric', 'lunar orbit', 'deep space'); null if orbital data not available in Wikidata | low Earth orbit | 82.8% |
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| `mass_kg` | Float64 | Total spacecraft mass in kilograms at launch; null for ~90% of entries where Wikidata has no mass recorded | 83.6 | 79.6% |
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| `mission` | string | Associated mission name linked in Wikidata (e.g. 'Apollo program', 'Mars Science Laboratory'); null if no mission link recorded | Sputnik programme | 80.1% |
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| `launch_year` | float64 | Year of launch derived from launch_date; null if launch_date is null; useful for time-series aggregation | 1957.0 | 16.1% |
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## Quick stats
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- **8,874** total spacecraft in the database
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- **7,444** spacecraft with a known launch date
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- **1,812** spacecraft with a recorded mass
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- **463** distinct operators
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- **26** distinct orbital regimes
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- Date range: 1957-10-04 to 2039-01-01
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- Top operators: National Aeronautics and Space Administration (301), United States Air Force (158), Roscosmos State Corporation (128), Indian Space Research Organisation (112), European Space Agency (89)
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- Top orbital regimes: geostationary orbit (598), low Earth orbit (401), Sun-synchronous orbit (255), medium Earth orbit (70), geosynchronous orbit (35)
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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/spacecraft-database", split="train")
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df = ds.to_pandas()
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```
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```python
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from datasets import load_dataset
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ds = load_dataset("juliensimon/spacecraft-database", split="train")
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df = ds.to_pandas()
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# Spacecraft by orbital regime
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print(df["orbit_type"].value_counts().head(10))
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# Launches per year
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import matplotlib.pyplot as plt
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df["launch_year"].dropna().astype(int).value_counts().sort_index().plot(kind="bar", figsize=(14, 4))
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plt.xlabel("Year")
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plt.ylabel("Spacecraft Launched")
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plt.title("Spacecraft Launches Per Year")
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plt.tight_layout()
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plt.show()
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# Heaviest spacecraft
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heaviest = df.nlargest(10, "mass_kg")[["name", "operator", "mass_kg", "orbit_type"]]
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print(heaviest)
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```
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## Data source
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https://www.wikidata.org/
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## Related datasets
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- [juliensimon/space-missions](https://huggingface.co/datasets/juliensimon/space-missions)
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- [juliensimon/space-track-satcat](https://huggingface.co/datasets/juliensimon/space-track-satcat)
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- [juliensimon/launch-vehicles](https://huggingface.co/datasets/juliensimon/launch-vehicles)
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> If you find this dataset useful, please consider [giving it a like](https://huggingface.co/datasets/juliensimon/spacecraft-database) on Hugging Face. It helps others discover it.
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## About the author
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Created by [Julien Simon](https://julien.org) — AI Operating Partner at Fortino Capital. Part of the [Space Datasets](https://julien.org/datasets) collection.
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## Citation
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```bibtex
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@dataset{spacecraft_database,
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title = {Spacecraft Database},
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author = {juliensimon},
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year = {2026},
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url = {https://huggingface.co/datasets/juliensimon/spacecraft-database},
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publisher = {Hugging Face}
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}
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```
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## License
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[CC0-1.0](https://creativecommons.org/licenses/by/4.0/)
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Git LFS Details
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version https://git-lfs.github.com/spec/v1
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size 172235
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