The dataset viewer is not available for this subset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
~~~~~~~~~~~~~~~~~~~~~~~~~^
StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/hdf5/hdf5.py", line 58, in _split_generators
with _safe_open_h5py(f, "r") as h5:
~~~~~~~~~~~~~~~^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/hdf5/hdf5.py", line 390, in _safe_open_h5py
f = h5py.File(file, mode)
File "/usr/local/lib/python3.14/site-packages/h5py/_hl/files.py", line 555, in __init__
fid = make_fid(name, mode, userblock_size, fapl, fcpl, swmr=swmr)
File "/usr/local/lib/python3.14/site-packages/h5py/_hl/files.py", line 232, in make_fid
fid = h5f.open(name, flags, fapl=fapl)
File "h5py/_objects.pyx", line 54, in h5py._objects.with_phil.wrapper
File "h5py/_objects.pyx", line 55, in h5py._objects.with_phil.wrapper
File "h5py/h5f.pyx", line 106, in h5py.h5f.open
OSError: Unable to synchronously open file (file signature not found)
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 68, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
~~~~~~~~~~~~~~~~~~~~~~~^
path=dataset,
^^^^^^^^^^^^^
config_name=config,
^^^^^^^^^^^^^^^^^^^
token=hf_token,
^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
path,
...<6 lines>...
**config_kwargs,
)
File "/usr/local/lib/python3.14/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.
RNA-SE: EternaBench-CM data
This dataset repository provides EternaBench-CM structure pools, precomputed RNA-FM features and raw chemical-mapping data prepared for RNA-SE, an RNA secondary-structure model combining a VAE with a diffusion transformer (DiT).
Download: CM_data.zip
Code, configurations and usage instructions: RNA-StructEnsemble on GitHub
Contents
The archive contains six files under EternaBench_CM/:
| File | Contents |
|---|---|
dit_train_top1_K20_N10.h5 |
Training sequences, structure pools and metadata |
dit_val_top1_K20_N10.h5 |
Validation sequences, structure pools and metadata |
dit_test_top1_K20_N10.h5 |
Test sequences, structure pools and metadata |
rnafm_fp16/official_cm_rnafm.safetensors |
Shared training and validation features, indexed through source_row_index |
rnafm_fp16/offical_test_rnafm.safetensors |
Test features, indexed through split_position |
EternaBench_ChemMapping_Filtered_10Jul2021.json.zip |
Raw chemical-mapping JSON data retained as a nested archive |
Each RNA in the structure pools retains all 20 selected structures, including
duplicates. The spelling of offical_test_rnafm.safetensors matches the supplied
configurations and should be preserved.
Local layout and use
Place the archive contents in the GitHub checkout's data/ directory. The
resulting directory is data/EternaBench_CM/; the archive already contains the
EternaBench_CM/ level. Preserve filenames and subdirectories.
Use the linked GitHub code to read these files. This archive does not provide
automatic loading through Hugging Face datasets.load_dataset. Model weights
are distributed separately in checkpoints.zip.
The raw JSON archive does not directly replace the prepared chemical-mapping evaluation HDF5 required by the evaluation workflow. That evaluation HDF5 is not included in this bundle.
Sources
The raw JSON archive was obtained from the official EternaBench repository, which carries an MIT license and separately documents data sources. Features were computed using RNA-FM.
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