README.md

metadata

license: cc-by-nc-4.0
task_categories:
  - tabular-classification
  - question-answering
language:
  - en
tags:
  - spaceflight
  - multi-omics
  - biomedical
  - benchmark
  - LLM-evaluation
  - epigenomics
  - transcriptomics
  - proteomics
  - metabolomics
  - microbiome
pretty_name: SpaceOmicsBench v3
size_categories:
  - 10K<n<100K

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: cfRNA DEG, C3: PPI benchmark)
• data/tasks/ — Training data for J1 and J2 (n=20 samples)
• data/axiom2_epigenetic/ — AX-2 epigenetic clock measurements (83 algorithms, 20 samples × 92 features)
• data/external/string_ppi/ — STRING v12 PPI network topology features (17,995 genes × 4 features)
• results/unified_baseline_results.json — Complete leaderboard (26 tasks, 16+ baseline methods)
• results/track_a/ — Stage-level results (TabPFN, ESM2, GNN, fusion, feature selection)

LLM Track (Track B)

• tasks/track_b/ — Question bank by category (12 categories, 270 questions)
• evaluation/llm/question_bank_v3.json — Full 270Q bank with ground truth, difficulty, uncertainty flags
• evaluation/llm/annotation_schema.json — Scoring rubric and 5-dimension framework

Key Statistics

• 26 ML tasks across 9 omics modalities (19 from v2 + 7 new)
• 270 LLM evaluation questions (12 categories, 4 difficulty levels)
• 4 spaceflight missions: NASA Twins (340d), Inspiration4 (3d), JAXA cfRNA, Axiom-2
• Crew IDs: Anonymized (C001–C004 for I4, A001–A004 for AX-2)

Citation

If you use this dataset, please cite:

Jang, J. (2026). SpaceOmicsBench: A Multi-Omics AI Benchmark for Spaceflight Biomedical Data (v3).
Submitted to NeurIPS 2026 Datasets & Benchmarks Track.
GitHub: https://github.com/jang1563/SpaceOmicsBench

License

• Data: CC BY-NC 4.0
• Code: MIT License

Contact

JangKeun Kim (jak4013@med.cornell.edu) — Weill Cornell Medicine