The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
context: string
n_basal_cells: int64
n_requests: int64
n_response_cells: int64
note: string
perturbation_type: string
n_genes: int64
chemistry: string
context_id: string
to
{'chemistry': Value('string'), 'context_id': Value('string'), 'n_basal_cells': Value('int64'), 'n_genes': Value('int64'), 'n_requests': Value('int64'), 'perturbation_type': Value('string')}
because column names don't match
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/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
context: string
n_basal_cells: int64
n_requests: int64
n_response_cells: int64
note: string
perturbation_type: string
n_genes: int64
chemistry: string
context_id: string
to
{'chemistry': Value('string'), 'context_id': Value('string'), 'n_basal_cells': Value('int64'), 'n_genes': Value('int64'), 'n_requests': Value('int64'), 'perturbation_type': Value('string')}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
ai4sci virtual-cell-zeroshot — release v1
Prepared data for the virtual-cell-zeroshot
task: predict single-cell CRISPRi knockdown responses in cellular contexts a model has never seen
perturbed (the Arc Virtual Cell Challenge 2026 zero-shot setting), rebuilt from public data.
dev/ what the agent sees (mount read-only at /workspace/data)
train/{k562,jurkat,hct116,hek293t}/ cells.h5ad, pseudobulk.h5ad, se_embeddings.npy, dev_split/
test/{ctx_near,ctx_mid,ctx_far}/public/ basal.h5ad, requests.jsonl, context.json
priors/ ESM-2 gene embeddings, GO annotations, DepMap gene effects (training lines)
manifest.json, splits.json, gene_panel.csv, gene_panel_intersection.json
private/ grader only: responses of the test contexts, request subsets/strata, cached no-effect + DE tables
manifest.json
dev/se600m/ is not included: fetch SE-600M (se600m_epoch16.ckpt, config.yaml,
protein_embeddings.pt, licences) from arcinstitute/SE-600M at revision 5a9a80f into
dev/se600m/ (the task's materialize.sh / fetch_release.sh do this).
Schemas, split design, sampling caps and QC: the task's environment/data/README.md.
Every source file, size and SHA-256: manifest.json.
Sources and licences
Derived (harmonised, subsampled, re-split) from: Replogle et al. 2022 (Figshare 20029387, CC BY 4.0);
Nadig et al. 2025 (GEO GSE264667); X-Atlas/Orion, Xaira Therapeutics (HF Xaira-Therapeutics/X-Atlas-Orion
@ 53a5bc98, CC BY-NC-SA 4.0 — the hct116/hek293t trees inherit that licence: non-commercial,
share-alike, attribution); Arc Institute Virtual Cell Challenge 2025 H1 hESC data (Arc VCC data terms);
DepMap 24Q4 (CC BY 4.0); Gene Ontology annotations (CC BY 4.0). Please cite the original datasets.
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