---
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

```bash
pip install datasets
```

```python
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.