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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:      Invalid string class label cache
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 544, 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 3052, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2572, in __iter__
                  example = _apply_feature_types_on_example(
                      example, self.features, token_per_repo_id=self.token_per_repo_id
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2489, in _apply_feature_types_on_example
                  encoded_example = features.encode_example(example)
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 2244, in encode_example
                  return encode_nested_example(self, example)
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1518, in encode_nested_example
                  {k: encode_nested_example(schema[k], obj.get(k), level=level + 1) for k in schema}
                      ~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1541, in encode_nested_example
                  return schema.encode_example(obj) if obj is not None else None
                         ~~~~~~~~~~~~~~~~~~~~~^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1210, in encode_example
                  example_data = self.str2int(example_data)
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1147, in str2int
                  output = [self._strval2int(value) for value in values]
                            ~~~~~~~~~~~~~~~~^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1168, in _strval2int
                  raise ValueError(f"Invalid string class label {value}")
              ValueError: Invalid string class label cache

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bio-data-mirror

Byte-identical copies of public biology datasets and model checkpoints, kept here so they stay downloadable when their original host is unavailable or slow. Nothing in this repository was modified: every file has the sha256 of the original release. Please cite and credit the original authors; the licence of each file is the licence of its source.

OpenProblems batch-integration datasets

Luecken et al., Defining and benchmarking open problems in single-cell analysis, Nat Biotech 2025 (openproblems-bio/task_batch_integration). The solution.h5ad releases of four CELLxGENE-census datasets, originally at https://openproblems-data.s3.amazonaws.com/resources/task_batch_integration/datasets/cellxgene_census/<dataset>/log_cp10k/solution.h5ad. Derived from CELLxGENE data (CC BY 4.0).

file sha256
openproblems/task_batch_integration/cellxgene_census/dkd/log_cp10k/solution.h5ad 7ce7bb66e28df2a546cd262b3ba824d864625322699f1ea5aba46fdc70c22fa2
openproblems/task_batch_integration/cellxgene_census/gtex_v9/log_cp10k/solution.h5ad e7e4575dfa496a021d71b8a66f18317128fc17149e530d427fd24f19b74307f8
openproblems/task_batch_integration/cellxgene_census/tabula_sapiens/log_cp10k/solution.h5ad 7787b79b900fdc26ce1fb04a9a0a8b4b194c71bc42b67ba08efdf13777a4576b
openproblems/task_batch_integration/cellxgene_census/immune_cell_atlas/log_cp10k/solution.h5ad a215cc48819e5dced7b3a24f39194423bdedfc0c4ffa451f626c8ee2572b2e0b

CellPLM checkpoints

Wen et al., CellPLM: Pre-training of Cell Language Model Beyond Single Cells, ICLR 2024 (OmicsML/CellPLM, BSD-2-Clause). The checkpoint archive OpenProblems passes to its CellPLM component, originally at https://openproblems-work.s3.amazonaws.com/cache/cellplm-ckpt.zip.

file sha256
openproblems/cache/cellplm-ckpt.zip e7e2713390e75684534d1ae41159df2b51e18c8b89200dfd287c0b9383a9c454

BPNet ChIP-nexus data (mouse ESC, Oct4 / Sox2 / Nanog / Klf4)

Avsec et al., Base-resolution models of transcription-factor binding reveal soft motif syntax, Nat Genet 2021. Stranded 5' count bigWigs from the authors' data release, originally at https://mitra.stanford.edu/kundaje/avsec/chipnexus/oct-sox-nanog-klf/data/<TF>/5prime.counts.<strand>.bw; the same training data are released on Zenodo (record 3371216) under CC BY 4.0.

file sha256
bpnet/chipnexus/oct-sox-nanog-klf/data/Oct4/5prime.counts.pos.bw 404bef059f59015e4028ba6188170800d94a22a943169543d0a340b83387d2fa
bpnet/chipnexus/oct-sox-nanog-klf/data/Oct4/5prime.counts.neg.bw c1ce47f81bc8b036d297f4b4860aa6bd13062b471ed5627bb35e3b2cea9a1520
bpnet/chipnexus/oct-sox-nanog-klf/data/Sox2/5prime.counts.pos.bw 31465c5882dce34ed74bd5d0037c55b8471fdc6fdff4d59ba48c54ae47c403be
bpnet/chipnexus/oct-sox-nanog-klf/data/Sox2/5prime.counts.neg.bw bda66f881bc3243bf3675eb6336b54944b691a77e95c48403193cbfcdf6cab9a
bpnet/chipnexus/oct-sox-nanog-klf/data/Nanog/5prime.counts.pos.bw b7f8a1a726a16def0a08644a07d8bfa6ac306139afa9a6cfb13eaf5a6ceeb2ee
bpnet/chipnexus/oct-sox-nanog-klf/data/Nanog/5prime.counts.neg.bw 1d150627466a5dbb9d983b5897b4875a893504316fc6160224854c2872c117dc
bpnet/chipnexus/oct-sox-nanog-klf/data/Klf4/5prime.counts.pos.bw a55360763231e53c06b499fc6918a56113db14023251882d3e86b9747e495d70
bpnet/chipnexus/oct-sox-nanog-klf/data/Klf4/5prime.counts.neg.bw 1f981c3635c7d33e6dfee0010c9eeb4618b2ca97508469f0a7e8e2ce88b02e59
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