metadata
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
from datasets import load_dataset
docs = load_dataset("JuanCastillo29/space-mission-intelligence-data", "documents")
chunks = load_dataset("JuanCastillo29/space-mission-intelligence-data", "chunks")