Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 91, in _split_generators
                  pa_table = next(iter(self._generate_tables(**splits[0].gen_kwargs, allow_full_read=False)))[1]
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 193, in _generate_tables
                  examples = [ujson_loads(line) for line in batch.splitlines()]
                              ^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/utils/json.py", line 20, in ujson_loads
                  return pd.io.json.ujson_loads(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
              ValueError: Expected object or value
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 65, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                         ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

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

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