datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
SpaceOmicsBench-v3
SpaceOmicsBench v3
A Multi-Omics AI Benchmark for Spaceflight Biomedical Data
SpaceOmicsBench v3 provides standardized ML and LLM evaluation infrastructure for spaceflight biomedical data from 4 human spaceflight missions (NASA Twins Study, Inspiration4, JAXA cfRNA, Axiom-2).
Dataset Structure
ML Track (Track A)
tasks/track_a/ — Task definitions (J1: phase classification, J2: clock acceleration)
tasks/track_c/ — Feature-level task definitions (C1:… See the full description on the dataset page: https://huggingface.co/datasets/jang1563/SpaceOmicsBench-v3.deep-space-optical-chip-thermal-dataset
🚀 Deep Space Optical Chip Thermal Dataset 🪐
🌡️ 40,000 scenario-based prompt and response pairs on thermal mitigation for photonic chips in scientific instruments aboard deep-space probes, covering refractive index drift, waveguide misalignment, and thermal stress across materials, instruments, and environments.
⚠️ Disclaimer: All entries are synthetically generated. Material coefficients are drawn from published typical values, but no row is based on mission logs or flight… See the full description on the dataset page: https://huggingface.co/datasets/Taylor658/deep-space-optical-chip-thermal-dataset.stackexchange-space-qa
Stack Exchange Space Q&A
Credit: NASA/DOE/Fermi LAT Collaboration
Part of a dataset collection on Hugging Face.
Dataset description
This dataset is a clean, tabular Q&A corpus of space and astronomy knowledge, derived from two Stack Exchange community Q&A sites: Astronomy Stack Exchange (astronomy.stackexchange.com) and Space Exploration Stack Exchange (space.stackexchange.com). Each row is one question paired with its best answer — either the question's… See the full description on the dataset page: https://huggingface.co/datasets/juliensimon/stackexchange-space-qa.OR-Space
OR-Space
A full-lifecycle workspace benchmark for industrial optimization agents.
OR-Space evaluates whether LLM agents can do reliable operations research work
inside executable, multi-file workspaces. Each instance keeps business
requirements, parameter files, source code, solver artifacts, and evaluation
metadata as separate files, forcing the agent to recover and maintain the
optimization model through workspace interaction rather than one-shot text
generation.… See the full description on the dataset page: https://huggingface.co/datasets/YiYao7017/OR-Space.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")… See the full description on the dataset page: https://huggingface.co/datasets/JuanCastillo29/space-mission-intelligence-data.