metadata
license: cc-by-4.0
language:
- ja
task_categories:
- text-generation
tags:
- space
- science-explainer
- japanese
- original-content
size_categories:
- n<1K
Space AI Explainer JA
100 original Japanese Q&A rows (×2 instruction templates = 200 examples) explaining space and AI basics: rockets, orbital mechanics, satellites, deep space, machine learning, and their intersections. Answers are short maintainer-written explanations of established basics with concept-level source notes. No scraped text, no invented citations.
Load with Python
pip install datasets
from datasets import load_dataset
data = load_dataset("LoNebula/space-ai-explainer-ja")
print(data)
print(data["train"][0]["input"], "→", data["train"][0]["output"])
Split
Deterministic 90/10 split by question (seed 20261014). Both prompt variants of a question stay in the same split.
Limitations
Short introductory explanations, not expert references. Representative numbers may be rounded. Verify technical claims independently before relying on them.
License
CC BY 4.0.