Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: ValueError
Message: Dataset 'nu_grid' has length 10000 but expected 128
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2840, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/hdf5/hdf5.py", line 76, in _generate_tables
num_rows = _check_dataset_lengths(h5, self.info.features)
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/hdf5/hdf5.py", line 355, in _check_dataset_lengths
raise ValueError(f"Dataset '{path}' has length {dset.shape[0]} but expected {num_rows}")
ValueError: Dataset 'nu_grid' has length 10000 but expected 128Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Amortized opacity marginalization: data
Training sets, trained models, priors and held-out evaluation sets for Amortized Opacity Marginalization Improves C/O Interval Calibration for Brown-Dwarf Retrievals (Heraty 2026). Code and paper source: github.com/kaileh57/opacity-marginalization.
Contents
spectra/v7_opmarg: one million simulated NIRSpec G395H spectra generated with randomized molecular opacities (the marginalized training set)spectra/v6_cloud: one million matched spectra at fixed nominal opacities (the control training set)spectra/ablation_train: the one-axis training sets (discrete_only,smooth_only) behind the training-side ablationspectra/v7_opmarg_validation,spectra/v6_cloud_val: validation splitsspectra/ablation_test,spectra/broadening_test,spectra/opmarg_ampsweep_v2: the one-axis, broadening-stress and amplitude-robustness evaluation setsheldout/clean,heldout/perturbed: the held-out sets behind every reported coverage numbermodels/: trained normalizing-flow posterior estimators, comprising three marginalized seeds, three control seeds, three mask-augmented seeds, and the ablation and leave-one-out variantsreal_inputs/: preprocessed JWST NIRSpec G395H arrays (observed flux, error, bad-pixel mask per object) used for the real-data resultsresults_gcs/: evaluation outputs from the final, amplitude-robustness, broadening and recalibration-benchmark runspriors/interlist_ratio_priors_v1.json: the opacity-perturbation prior
Spectra are HDF5 shards of 128 spectra each, with parameters, flux and noise-free flux per shard. Models are PyTorch checkpoints; loading them requires zuko (see the code repository).
License
CC BY 4.0.
Citation
See the code repository for the BibTeX entry.
- Downloads last month
- 19