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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:    CastError
Message:      Couldn't cast
VAV3: string
GRCh38______AC021752.1: string
NFATC4: string
ENSG00000114686: string
ENSG00000163873.9: string
AL136531.2: string
GRCh38______AP003419.3: string
GRCh38______KCNQ1: string
ENSG00000116128: string
AL512631.1: string
GRCh38______EPHA7: string
GRCh38__AC004241.1: string
CCDC69: string
ATP6V1A: string
GRCh38__MYOM2: string
AC019211.1: string
GRCh38______LINC01894: string
GRCh38______SLC25A24: string
ENSG00000162104.9: string
GRCh38______DRAM2: string
P4HTM: string
OR8G1: string
AC107214.2: string
GRCh38______CXCL10: string
ENSG00000163444: string
ENSG00000052723: string
GRCh38__RAP1GDS1: string
AL008718.2: string
ENSG00000196218.12: string
GRCh38__STX7: string
GRCh38__MRPS27: string
AL035701.1: string
AC106882.1: string
ENSG00000127152.17: string
SPCS2P1: string
AC092123.1: string
ENSG00000164122: string
GRCh38______ZNF790: string
GRCh38______MRPS31: string
VLDLR: string
GRCh38______EYA2: string
GRCh38______JPH2: string
RCAN1: string
GRCh38______UTRN: string
GRCh38______SCAF8: string
GRCh38__BRIP1: string
ENSG00000140006: string
GRCh38______HEMGN: string
ENSG00000188229.5: string
GRCh38__LINC00982: string
GRCh38__NCAPG2: string
RP11-706O15.7: string
ENSG00000231884.1: string
DOCK2: string
ENSG00000165997: string
ENSG00000078687.17: string
GRCh38__RPS12: string
GRCh38______MYO3B: string
GRCh38______ABI3: string
RIC1: string
ENSG00000267659: string
ENSG00000132305.20: string
DNMT3L: string
AL049838.1: string
FTLP17: string
ENSG00000164011.17: string
ENSG00000130167: st
...
g
  child 4, organism: string
  child 5, number of reactions: int64
  child 6, number of metabolites: int64
  child 7, gene identifier type: string
  child 8, description: string
breast_cancer: struct<metabolic_filename: string, version: string, format: string, repo_dir: string, organism: stri (... 112 chars omitted)
  child 0, metabolic_filename: string
  child 1, version: string
  child 2, format: string
  child 3, repo_dir: string
  child 4, organism: string
  child 5, number of reactions: int64
  child 6, number of metabolites: int64
  child 7, gene identifier type: string
  child 8, description: string
prostate_cancer: struct<metabolic_filename: string, version: string, format: string, repo_dir: string, organism: stri (... 112 chars omitted)
  child 0, metabolic_filename: string
  child 1, version: string
  child 2, format: string
  child 3, repo_dir: string
  child 4, organism: string
  child 5, number of reactions: int64
  child 6, number of metabolites: int64
  child 7, gene identifier type: string
  child 8, description: string
pancreatic_adenocarcinoma: struct<metabolic_filename: string, version: string, format: string, repo_dir: string, organism: stri (... 112 chars omitted)
  child 0, metabolic_filename: string
  child 1, version: string
  child 2, format: string
  child 3, repo_dir: string
  child 4, organism: string
  child 5, number of reactions: int64
  child 6, number of metabolites: int64
  child 7, gene identifier type: string
  child 8, description: string
to
{'breast_cancer': {'metabolic_filename': Value('string'), 'version': Value('string'), 'format': Value('string'), 'repo_dir': Value('string'), 'organism': Value('string'), 'number of reactions': Value('int64'), 'number of metabolites': Value('int64'), 'gene identifier type': Value('string'), 'description': Value('string')}, 'colon_adenocarcinoma': {'metabolic_filename': Value('string'), 'version': Value('string'), 'format': Value('string'), 'repo_dir': Value('string'), 'organism': Value('string'), 'number of reactions': Value('int64'), 'number of metabolites': Value('int64'), 'gene identifier type': Value('string'), 'description': Value('string')}, 'glioblastoma': {'metabolic_filename': Value('string'), 'version': Value('string'), 'format': Value('string'), 'repo_dir': Value('string'), 'organism': Value('string'), 'number of reactions': Value('int64'), 'number of metabolites': Value('int64'), 'gene identifier type': Value('string'), 'description': Value('string')}, 'low_grade_glioma': {'metabolic_filename': Value('string'), 'version': Value('string'), 'format': Value('string'), 'repo_dir': Value('string'), 'organism': Value('string'), 'number of reactions': Value('int64'), 'number of metabolites': Value('int64'), 'gene identifier type': Value('string'), 'description': Value('string')}, 'lung_adenocarcinoma': {'metabolic_filename': Value('string'), 'version': Value('string'), 'format': Value('string'), 'repo_dir': Value('string'), 'organism': Value('string'), 'number of reactio
...
anism': Value('string'), 'number of reactions': Value('int64'), 'number of metabolites': Value('int64'), 'gene identifier type': Value('string'), 'description': Value('string')}, 'skin_cutaneous_melanoma': {'metabolic_filename': Value('string'), 'version': Value('string'), 'format': Value('string'), 'repo_dir': Value('string'), 'organism': Value('string'), 'number of reactions': Value('int64'), 'number of metabolites': Value('int64'), 'gene identifier type': Value('string'), 'description': Value('string')}, 'kidney_renal_clear_cell_carcinoma': {'metabolic_filename': Value('string'), 'version': Value('string'), 'format': Value('string'), 'repo_dir': Value('string'), 'organism': Value('string'), 'number of reactions': Value('int64'), 'number of metabolites': Value('int64'), 'gene identifier type': Value('string'), 'description': Value('string')}, 'human_model': {'metabolic_filename': Value('string'), 'version': Value('string'), 'format': Value('string'), 'repo_dir': Value('string'), 'organism': Value('string'), 'number of reactions': Value('int64'), 'number of metabolites': Value('int64'), 'gene identifier type': Value('string'), 'description': Value('string')}, 'mouse_model': {'metabolic_filename': Value('string'), 'version': Value('string'), 'format': Value('string'), 'repo_dir': Value('string'), 'organism': Value('string'), 'number of reactions': Value('int64'), 'number of metabolites': Value('int64'), 'gene identifier type': Value('string'), 'description': 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 478, 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 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, 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 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              VAV3: string
              GRCh38______AC021752.1: string
              NFATC4: string
              ENSG00000114686: string
              ENSG00000163873.9: string
              AL136531.2: string
              GRCh38______AP003419.3: string
              GRCh38______KCNQ1: string
              ENSG00000116128: string
              AL512631.1: string
              GRCh38______EPHA7: string
              GRCh38__AC004241.1: string
              CCDC69: string
              ATP6V1A: string
              GRCh38__MYOM2: string
              AC019211.1: string
              GRCh38______LINC01894: string
              GRCh38______SLC25A24: string
              ENSG00000162104.9: string
              GRCh38______DRAM2: string
              P4HTM: string
              OR8G1: string
              AC107214.2: string
              GRCh38______CXCL10: string
              ENSG00000163444: string
              ENSG00000052723: string
              GRCh38__RAP1GDS1: string
              AL008718.2: string
              ENSG00000196218.12: string
              GRCh38__STX7: string
              GRCh38__MRPS27: string
              AL035701.1: string
              AC106882.1: string
              ENSG00000127152.17: string
              SPCS2P1: string
              AC092123.1: string
              ENSG00000164122: string
              GRCh38______ZNF790: string
              GRCh38______MRPS31: string
              VLDLR: string
              GRCh38______EYA2: string
              GRCh38______JPH2: string
              RCAN1: string
              GRCh38______UTRN: string
              GRCh38______SCAF8: string
              GRCh38__BRIP1: string
              ENSG00000140006: string
              GRCh38______HEMGN: string
              ENSG00000188229.5: string
              GRCh38__LINC00982: string
              GRCh38__NCAPG2: string
              RP11-706O15.7: string
              ENSG00000231884.1: string
              DOCK2: string
              ENSG00000165997: string
              ENSG00000078687.17: string
              GRCh38__RPS12: string
              GRCh38______MYO3B: string
              GRCh38______ABI3: string
              RIC1: string
              ENSG00000267659: string
              ENSG00000132305.20: string
              DNMT3L: string
              AL049838.1: string
              FTLP17: string
              ENSG00000164011.17: string
              ENSG00000130167: st
              ...
              g
                child 4, organism: string
                child 5, number of reactions: int64
                child 6, number of metabolites: int64
                child 7, gene identifier type: string
                child 8, description: string
              breast_cancer: struct<metabolic_filename: string, version: string, format: string, repo_dir: string, organism: stri (... 112 chars omitted)
                child 0, metabolic_filename: string
                child 1, version: string
                child 2, format: string
                child 3, repo_dir: string
                child 4, organism: string
                child 5, number of reactions: int64
                child 6, number of metabolites: int64
                child 7, gene identifier type: string
                child 8, description: string
              prostate_cancer: struct<metabolic_filename: string, version: string, format: string, repo_dir: string, organism: stri (... 112 chars omitted)
                child 0, metabolic_filename: string
                child 1, version: string
                child 2, format: string
                child 3, repo_dir: string
                child 4, organism: string
                child 5, number of reactions: int64
                child 6, number of metabolites: int64
                child 7, gene identifier type: string
                child 8, description: string
              pancreatic_adenocarcinoma: struct<metabolic_filename: string, version: string, format: string, repo_dir: string, organism: stri (... 112 chars omitted)
                child 0, metabolic_filename: string
                child 1, version: string
                child 2, format: string
                child 3, repo_dir: string
                child 4, organism: string
                child 5, number of reactions: int64
                child 6, number of metabolites: int64
                child 7, gene identifier type: string
                child 8, description: string
              to
              {'breast_cancer': {'metabolic_filename': Value('string'), 'version': Value('string'), 'format': Value('string'), 'repo_dir': Value('string'), 'organism': Value('string'), 'number of reactions': Value('int64'), 'number of metabolites': Value('int64'), 'gene identifier type': Value('string'), 'description': Value('string')}, 'colon_adenocarcinoma': {'metabolic_filename': Value('string'), 'version': Value('string'), 'format': Value('string'), 'repo_dir': Value('string'), 'organism': Value('string'), 'number of reactions': Value('int64'), 'number of metabolites': Value('int64'), 'gene identifier type': Value('string'), 'description': Value('string')}, 'glioblastoma': {'metabolic_filename': Value('string'), 'version': Value('string'), 'format': Value('string'), 'repo_dir': Value('string'), 'organism': Value('string'), 'number of reactions': Value('int64'), 'number of metabolites': Value('int64'), 'gene identifier type': Value('string'), 'description': Value('string')}, 'low_grade_glioma': {'metabolic_filename': Value('string'), 'version': Value('string'), 'format': Value('string'), 'repo_dir': Value('string'), 'organism': Value('string'), 'number of reactions': Value('int64'), 'number of metabolites': Value('int64'), 'gene identifier type': Value('string'), 'description': Value('string')}, 'lung_adenocarcinoma': {'metabolic_filename': Value('string'), 'version': Value('string'), 'format': Value('string'), 'repo_dir': Value('string'), 'organism': Value('string'), 'number of reactio
              ...
              anism': Value('string'), 'number of reactions': Value('int64'), 'number of metabolites': Value('int64'), 'gene identifier type': Value('string'), 'description': Value('string')}, 'skin_cutaneous_melanoma': {'metabolic_filename': Value('string'), 'version': Value('string'), 'format': Value('string'), 'repo_dir': Value('string'), 'organism': Value('string'), 'number of reactions': Value('int64'), 'number of metabolites': Value('int64'), 'gene identifier type': Value('string'), 'description': Value('string')}, 'kidney_renal_clear_cell_carcinoma': {'metabolic_filename': Value('string'), 'version': Value('string'), 'format': Value('string'), 'repo_dir': Value('string'), 'organism': Value('string'), 'number of reactions': Value('int64'), 'number of metabolites': Value('int64'), 'gene identifier type': Value('string'), 'description': Value('string')}, 'human_model': {'metabolic_filename': Value('string'), 'version': Value('string'), 'format': Value('string'), 'repo_dir': Value('string'), 'organism': Value('string'), 'number of reactions': Value('int64'), 'number of metabolites': Value('int64'), 'gene identifier type': Value('string'), 'description': Value('string')}, 'mouse_model': {'metabolic_filename': Value('string'), 'version': Value('string'), 'format': Value('string'), 'repo_dir': Value('string'), 'organism': Value('string'), 'number of reactions': Value('int64'), 'number of metabolites': Value('int64'), 'gene identifier type': Value('string'), 'description': Value('string')}}
              because column names don't match

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