---
configs:
  - config_name: documents
    data_files:
      - split: train
        path: seed/documents.json
  - config_name: chunks
    data_files:
      - split: train
        path: seed/chunks.json
  - config_name: satellites
    data_files:
      - split: train
        path: seed/satellites.json
license: mit
task_categories:
  - question-answering
  - text-retrieval
tags:
  - space
  - nasa
  - esa
  - rag
pretty_name: Space Mission Intelligence Data
---

# Space Mission Intelligence Data

Seed data for the Space Mission Intelligence Agent RAG pipeline.

## Configurations

- **documents** — 40 documents (NASA technical reports, ESA mission papers, arXiv preprints)
- **chunks** — 2,590 text chunks with 1024-dim embeddings (sentence-transformers)
- **satellites** — satellite orbital data (TLE-derived)

## Usage

```python
from datasets import load_dataset

docs = load_dataset("JuanCastillo29/space-mission-intelligence-data", "documents")
chunks = load_dataset("JuanCastillo29/space-mission-intelligence-data", "chunks")
```