Datasets:

---

foldl

/

arc26-runs-data

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
id: int64
run_id: string
timestamp: string
run_name: string
log_id: string
space_id: null
gpu/detected: int64
to
{'id': Value('int64'), 'run_id': Value('string'), 'run_name': Value('string'), 'created_at': Value('string'), 'base_model': Value('string'), 'tiny': Value('bool'), 'vocab_size': Value('int64'), 'arc26_commit': Value('string'), 'data_dir': Value('string'), 'n_tasks': Value('int64'), 'n_examples': Value('int64'), 'steps': Value('int64'), 'stop_reason': Value('string'), 'first_logged_loss': Value('float64'), 'final_loss': Value('float64'), 'loss_decreased': Value('bool'), 'wall_minutes': Value('float64'), 'device': Value('string'), 'n_gpus': Value('int64'), 'grad_checkpointing': Value('bool'), 'trainable_params': Value('int64'), 'total_params': Value('int64'), 'loss_first_decile_mean': Value('float64'), 'loss_last_decile_mean': Value('float64'), 'throughput_steps_per_min': Value('float64'), 'throughput_examples_per_min': Value('float64'), '_Username': Value('string'), '_Created': Value('string'), '_Group': Value('null')}
because column names don't match
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 489, 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/parquet/parquet.py", line 220, in _generate_tables
                  yield Key(file_idx, batch_idx), self._cast_table(pa_table)
                                                  ~~~~~~~~~~~~~~~~^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/parquet/parquet.py", line 156, 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
              id: int64
              run_id: string
              timestamp: string
              run_name: string
              log_id: string
              space_id: null
              gpu/detected: int64
              to
              {'id': Value('int64'), 'run_id': Value('string'), 'run_name': Value('string'), 'created_at': Value('string'), 'base_model': Value('string'), 'tiny': Value('bool'), 'vocab_size': Value('int64'), 'arc26_commit': Value('string'), 'data_dir': Value('string'), 'n_tasks': Value('int64'), 'n_examples': Value('int64'), 'steps': Value('int64'), 'stop_reason': Value('string'), 'first_logged_loss': Value('float64'), 'final_loss': Value('float64'), 'loss_decreased': Value('bool'), 'wall_minutes': Value('float64'), 'device': Value('string'), 'n_gpus': Value('int64'), 'grad_checkpointing': Value('bool'), 'trainable_params': Value('int64'), 'total_params': Value('int64'), 'loss_first_decile_mean': Value('float64'), 'loss_last_decile_mean': Value('float64'), 'throughput_steps_per_min': Value('float64'), 'throughput_examples_per_min': Value('float64'), '_Username': Value('string'), '_Created': Value('string'), '_Group': Value('null')}
              because column names don't match