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/harbor/harbor.py", line 171, in _split_generators
raise DataFilesNotFoundError("No task.toml or instruction.md files found")
datasets.exceptions.DataFilesNotFoundError: No task.toml or instruction.md files 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.
PRIMO public inputs
Blind expression inputs for the PRIMO patient-representation benchmark.
datasets.yaml lists opaque ids, modalities, paths, and dimensions; clinical
targets, provenance, donor ids, and cohort metadata remain private, except the
credits CC BY licences require (ATTRIBUTION.md) and the labels of the public
tasks (public_tasks/, see its README).
Each <dataset_id>/expression.h5ad stores expression in X, NCBI Gene IDs in
var_names, and symbols in var["gene_symbols"]. X is raw counts unless
uns["input_normalization"] is set, which names the scale the source study
published instead (TPM, for example); the same key appears in datasets.yaml.
Check it before applying a count-based normalization. The preprocessing is
yours to choose; the baseline applies log2(CPM + 1) to every dataset.
- Bulk RNA files have samples as rows and opaque sample ids in
obs_names. - Single-cell RNA files are sparse and have cells as rows. Cell ids in
obs_namesare opaque. Their onlyobscolumn issample_id, an opaque collection-sample id shared by cells from the same prediction unit.
Each submission covers one selected modality. Submissions are sample-level:
produce one embedding per unique obs["sample_id"], with repeated collection
timepoints kept separate.
The standalone quickstart in the
PRIMO evaluator Space
shows the modality-specific download and submission flow. Its single-cell example
applies per-cell
log2(CP10K + 1), mean-pools by sample_id, then runs sample-level PCA.
Licence
Each <dataset_id>/LICENCE.md states that dataset's licence and the changes PRIMO
made. Most datasets carry no licence restrictions; those adapting CC BY data credit
their authors in ATTRIBUTION.md.
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