Datasetpublic

juliensimon/launch-vehicles

Launch Vehicles Database Credit: NASA Part of a dataset collection on Hugging Face. Dataset description Orbital and suborbital launch vehicles from around the world, sourced from Wikidata. Covers every space launch vehicle recorded in Wikidata's structured knowledge base, including historical rockets, active workhorses, and vehicles under development. From the German V-2 through the Saturn V to the Falcon 9 and Starship, launch vehicles have defined… See the full description on the dataset page: https://huggingface.co/datasets/juliensimon/launch-vehicles.

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Dataset Card

Launch Vehicles Database

<div align="center"> <img src="banner.jpg" alt="An orbital sunrise illuminates the Earth's atmosphere, seen from the ISS" width="400"> <p><em>Credit: NASA</em></p> </div>

Part of a [dataset collection](https://huggingface.co/collections/juliensimon/orbital-mechanics-datasets-69c24caca4ab3934c9856994) on Hugging Face.

Dataset description

Orbital and suborbital launch vehicles from around the world, sourced from Wikidata. Covers every space launch vehicle recorded in Wikidata's structured knowledge base, including historical rockets, active workhorses, and vehicles under development.

From the German V-2 through the Saturn V to the Falcon 9 and Starship, launch vehicles have defined humanity's access to space. This dataset draws from Wikidata's community-curated records (class Q697175: space launch vehicle), maintained by the WikiProject Spaceflight community. It includes physical dimensions, payload capacities, flight history dates, and operational status.

Wikidata coverage varies -- some vehicles lack physical specs or payload data. Columns with less than 5% data coverage are automatically dropped during pipeline processing.

This dataset is suitable for tabular classification tasks.

Schema

Column	Type	Description	Sample	Null %
`wikidata_id`	str	Wikidata entity ID (e.g. 'Q14522') linking to https://www.wikidata.org/wiki/Q14522; use for enrichment joins with other Wikidata-sourced datasets	Q377174	0.0%
`name`	str	Primary name of the launch vehicle (e.g. 'Saturn V', 'Falcon 9'); canonical English form as recorded in Wikidata	2003 Alcântara VLS accident	0.0%
`manufacturer`	str	Organization that designed and built the vehicle (e.g. 'Boeing', 'SpaceX', 'Roscosmos'); null if manufacturer information is absent from Wikidata	AgniKul Cosmos	39.5%
`country`	str	Country of origin using full English name (e.g. 'United States of America', 'Russia', 'China'); reflects the operating nation at time of primary use	India	32.3%
`height_m`	float64	Total vehicle height from base to payload fairing tip, in metres; null when not recorded in Wikidata; tallest vehicles exceed 100 m (Saturn V: 110.6 m)	25.0	94.5%
`mass_kg`	float64	Gross liftoff mass (fully fueled with payload) in kilograms; null when not recorded; ranges from ~10,000 kg (small launchers) to ~3,000,000 kg (Saturn V)	48000.0	94.1%
`payload_leo_kg`	float64	Maximum payload mass deliverable to low Earth orbit (approx 200-2000 km altitude) in kilograms; null for vehicles whose LEO capacity is unrecorded or not applicable	300.0	88.2%
`first_flight`	str	Date of maiden flight in ISO 8601 format (YYYY-MM-DD); null for vehicles that never flew or where the date is unrecorded in Wikidata	1985-10-03	94.1%

Quick stats

—220 launch vehicles from 11 countries
—0 active, 0 retired
—Tallest vehicle: Delta IV Heavy (70.7 m)
—Heaviest LEO payload: Sea Dragon (498,952 kg)
—Top countries: United States (111), Soviet Union (17), Russia (11), South Korea (2), France (2)

Usage

python

from datasets import load_dataset

ds = load_dataset("juliensimon/launch-vehicles", split="train")
df = ds.to_pandas()

python

from datasets import load_dataset

ds = load_dataset("juliensimon/launch-vehicles", split="train")
df = ds.to_pandas()

# List all vehicles by country
print(df[["name", "country", "manufacturer"]].head(20))

# Vehicles with known height
if "height_m" in df.columns:
    tall = df.dropna(subset=["height_m"]).nlargest(10, "height_m")
    print(tall[["name", "country", "height_m"]])

# Payload capacity distribution
import matplotlib.pyplot as plt
leo = df.dropna(subset=["payload_leo_kg"])
plt.hist(leo["payload_leo_kg"], bins=30, edgecolor="black", alpha=0.7)
plt.xlabel("Payload to LEO (kg)")
plt.ylabel("Number of Vehicles")
plt.title("Launch Vehicle LEO Payload Distribution")
plt.show()

Data source

https://www.wikidata.org/wiki/Q697175

Related datasets

—juliensimon/space-missions

—juliensimon/space-launch-log

—juliensimon/spacecraft-database

—juliensimon/constellation-census

—juliensimon/gcat

—juliensimon/gcat-satcat

—juliensimon/launch-cost

If you find this dataset useful, please consider giving it a like on Hugging Face. It helps others discover it.

About the author

Created by Julien Simon — AI Operating Partner at Fortino Capital. Part of the Space Datasets collection.

Citation

bibtex

@dataset{launch_vehicles,
  title = {Launch Vehicles Database},
  author = {Simon, Julien},
  year = {2026},
  url = {https://huggingface.co/datasets/juliensimon/launch-vehicles},
  note = {Derived from Wikidata contributors, https://www.wikidata.org/wiki/Q697175},
  publisher = {Hugging Face}
}

License

CC0-1.0