Datasets:

---

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modded-nanogpt-noise

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Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
checkpoints: list<item: null>
  child 0, item: null
cli_args: struct<checkpoint_every_tokens: int64, dataset: string, keep_checkpoint_every_tokens: int64, matrix_ (... 345 chars omitted)
  child 0, checkpoint_every_tokens: int64
  child 1, dataset: string
  child 2, keep_checkpoint_every_tokens: int64
  child 3, matrix_lr: null
  child 4, microbatch_cap: null
  child 5, optimizer: string
  child 6, preset: string
  child 7, probe_burst: int64
  child 8, probe_every_tokens: double
  child 9, probe_no_embeddings: bool
  child 10, probe_raw_every_tokens: double
  child 11, probe_samples: int64
  child 12, resume: null
  child 13, run_id: string
  child 14, save_checkpoint: bool
  child 15, seed: int64
  child 16, total_tokens: double
  child 17, val_every_tokens: double
  child 18, wandb: bool
  child 19, wandb_project: string
exported_at: timestamp[s]
git_commit: string
last_logged_step: int64
num_iterations: int64
probe_steps_awaiting_checkpoint: int64
probe_steps_total: int64
run_id: string
schedule: string
structure_version: int64
probe_steps: list<item: struct<checkpoint: null, step: int64, tokens: int64>>
  child 0, item: struct<checkpoint: null, step: int64, tokens: int64>
      child 0, checkpoint: null
      child 1, step: int64
      child 2, tokens: int64
awaiting_next_checkpoint: list<item: struct<step: int64, tokens: int64>>
  child 0, item: struct<step: int64, tokens: int64>
      child 0, step: int64
      child 1, tokens: int64
to
{'awaiting_next_checkpoint': List({'step': Value('int64'), 'tokens': Value('int64')}), 'probe_steps': List({'checkpoint': Value('null'), 'step': Value('int64'), 'tokens': Value('int64')})}
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
              checkpoints: list<item: null>
                child 0, item: null
              cli_args: struct<checkpoint_every_tokens: int64, dataset: string, keep_checkpoint_every_tokens: int64, matrix_ (... 345 chars omitted)
                child 0, checkpoint_every_tokens: int64
                child 1, dataset: string
                child 2, keep_checkpoint_every_tokens: int64
                child 3, matrix_lr: null
                child 4, microbatch_cap: null
                child 5, optimizer: string
                child 6, preset: string
                child 7, probe_burst: int64
                child 8, probe_every_tokens: double
                child 9, probe_no_embeddings: bool
                child 10, probe_raw_every_tokens: double
                child 11, probe_samples: int64
                child 12, resume: null
                child 13, run_id: string
                child 14, save_checkpoint: bool
                child 15, seed: int64
                child 16, total_tokens: double
                child 17, val_every_tokens: double
                child 18, wandb: bool
                child 19, wandb_project: string
              exported_at: timestamp[s]
              git_commit: string
              last_logged_step: int64
              num_iterations: int64
              probe_steps_awaiting_checkpoint: int64
              probe_steps_total: int64
              run_id: string
              schedule: string
              structure_version: int64
              probe_steps: list<item: struct<checkpoint: null, step: int64, tokens: int64>>
                child 0, item: struct<checkpoint: null, step: int64, tokens: int64>
                    child 0, checkpoint: null
                    child 1, step: int64
                    child 2, tokens: int64
              awaiting_next_checkpoint: list<item: struct<step: int64, tokens: int64>>
                child 0, item: struct<step: int64, tokens: int64>
                    child 0, step: int64
                    child 1, tokens: int64
              to
              {'awaiting_next_checkpoint': List({'step': Value('int64'), 'tokens': Value('int64')}), 'probe_steps': List({'checkpoint': Value('null'), 'step': Value('int64'), 'tokens': Value('int64')})}
              because column names don't match