juliensimon/space-missions

Space Missions Database

Credit: NASA/GSFC/Suomi NPP

Part of a dataset collection on Hugging Face.

Dataset description

Comprehensive database of space missions -- both crewed and uncrewed -- sourced from Wikidata's structured knowledge base. Covers the full history of spaceflight from the dawn of the Space Age to the present.

This dataset draws on Wikidata using three entity types: space missions (Q2133344), crewed spaceflights (Q1248784), and uncrewed spaceflights (Q12795915). It is maintained by the WikiProject Spaceflight community and updated as new missions are flown and documented.

Note: Wikidata coverage is uneven -- most entries have only a name and Wikidata ID. Columns with <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. 'Q183294' for Apollo 11); stable persistent identifier that can be used to link back to the full Wikidata entry for enrichment	Q940331	0.0%
name	str	Official mission name as recorded in Wikidata (e.g. 'Apollo 11', 'Voyager 1', 'Mars Odyssey'); the English-language label from the Wikidata entity	Korabl-Sputnik 3	0.0%
operator	str	Launching or operating space agency/organization (e.g. 'NASA', 'ESA', 'ISRO', 'Roscosmos', 'CNSA'); null for missions where Wikidata has no operator recorded	Soviet space program	86.8%

Quick stats

• 25,159 total missions in the database
• 668 with known launch dates
• 1 crewed missions
• 19 unique destinations
• Top operators: National Aeronautics and Space Administration (199), Alaska Department of Transportation & Public Facilities (149), Airports Authority of India (110), Soviet space program (95), Roscosmos State Corporation (88)

Usage

from datasets import load_dataset

ds = load_dataset("juliensimon/space-missions", split="train")
df = ds.to_pandas()

from datasets import load_dataset

ds = load_dataset("juliensimon/space-missions", split="train")
df = ds.to_pandas()

# Missions by operator
if "operator" in df.columns:
    print(df["operator"].value_counts().head(10))

# Launches per decade
import matplotlib.pyplot as plt
df["decade"] = (df["launch_year"] // 10) * 10
df.dropna(subset=["decade"]).groupby("decade").size().plot(kind="bar")
plt.ylabel("Number of Missions")
plt.title("Space Missions by Decade")
plt.tight_layout()
plt.show()

# Crewed vs uncrewed by operator
if "crew_count" in df.columns and "operator" in df.columns:
    df["crewed"] = df["crew_count"].fillna(0) > 0
    top = df["operator"].value_counts().head(8).index
    df[df["operator"].isin(top)].groupby(["operator", "crewed"]).size().unstack().plot(kind="bar")
    plt.title("Crewed vs Uncrewed by Operator")
    plt.show()

Data source

https://www.wikidata.org/wiki/Wikidata:WikiProject_Spaceflight

Related datasets

• juliensimon/astronaut-database

• juliensimon/space-launch-log

• juliensimon/spacecraft-database

• juliensimon/deep-space-probes

• juliensimon/artemis-ii

• juliensimon/astronauts

• juliensimon/cassini

• juliensimon/chemcam

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

@dataset{space_missions,
  title = {Space Missions Database},
  author = {juliensimon},
  year = {2026},
  url = {https://huggingface.co/datasets/juliensimon/space-missions},
  publisher = {Hugging Face}
}

License

CC0-1.0