Datasets:

---

eruzak

/

arc-activation-pairs

Like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
shard_id: int64
row_start: int64
row_stop: int64
split: string
pair_check_max_abs: double
compute_write_seconds: double
producer: struct<torch: string, numpy: string, device: string, device_name: string>
  child 0, torch: string
  child 1, numpy: string
  child 2, device: string
  child 3, device_name: string
files: struct<z08.npy: struct<bytes: int64, sha256: string>, z09.npy: struct<bytes: int64, sha256: string>, (... 49 chars omitted)
  child 0, z08.npy: struct<bytes: int64, sha256: string>
      child 0, bytes: int64
      child 1, sha256: string
  child 1, z09.npy: struct<bytes: int64, sha256: string>
      child 0, bytes: int64
      child 1, sha256: string
  child 2, stats.npz: struct<bytes: int64, sha256: string>
      child 0, bytes: int64
      child 1, sha256: string
config: struct<root_seed: int64, sample_seed: int64, width: int64, depth: int64, layer: int64, n_samples: in (... 70 chars omitted)
  child 0, root_seed: int64
  child 1, sample_seed: int64
  child 2, width: int64
  child 3, depth: int64
  child 4, layer: int64
  child 5, n_samples: int64
  child 6, batch_size: int64
  child 7, shard_samples: int64
  child 8, validation_every: int64
layer_numbering: string
weight_layout: string
weights_sha256: string
relation: string
dtype: string
rng: string
validation_split: string
format: string
total_raw_bytes: int64
to
{'format': Value('string'), 'config': {'root_seed': Value('int64'), 'sample_seed': Value('int64'), 'width': Value('int64'), 'depth': Value('int64'), 'layer': Value('int64'), 'n_samples': Value('int64'), 'batch_size': Value('int64'), 'shard_samples': Value('int64'), 'validation_every': Value('int64')}, 'dtype': Value('string'), 'weight_layout': Value('string'), 'relation': Value('string'), 'layer_numbering': Value('string'), 'weights_sha256': Value('string'), 'rng': Value('string'), 'validation_split': Value('string'), 'total_raw_bytes': 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
              shard_id: int64
              row_start: int64
              row_stop: int64
              split: string
              pair_check_max_abs: double
              compute_write_seconds: double
              producer: struct<torch: string, numpy: string, device: string, device_name: string>
                child 0, torch: string
                child 1, numpy: string
                child 2, device: string
                child 3, device_name: string
              files: struct<z08.npy: struct<bytes: int64, sha256: string>, z09.npy: struct<bytes: int64, sha256: string>, (... 49 chars omitted)
                child 0, z08.npy: struct<bytes: int64, sha256: string>
                    child 0, bytes: int64
                    child 1, sha256: string
                child 1, z09.npy: struct<bytes: int64, sha256: string>
                    child 0, bytes: int64
                    child 1, sha256: string
                child 2, stats.npz: struct<bytes: int64, sha256: string>
                    child 0, bytes: int64
                    child 1, sha256: string
              config: struct<root_seed: int64, sample_seed: int64, width: int64, depth: int64, layer: int64, n_samples: in (... 70 chars omitted)
                child 0, root_seed: int64
                child 1, sample_seed: int64
                child 2, width: int64
                child 3, depth: int64
                child 4, layer: int64
                child 5, n_samples: int64
                child 6, batch_size: int64
                child 7, shard_samples: int64
                child 8, validation_every: int64
              layer_numbering: string
              weight_layout: string
              weights_sha256: string
              relation: string
              dtype: string
              rng: string
              validation_split: string
              format: string
              total_raw_bytes: int64
              to
              {'format': Value('string'), 'config': {'root_seed': Value('int64'), 'sample_seed': Value('int64'), 'width': Value('int64'), 'depth': Value('int64'), 'layer': Value('int64'), 'n_samples': Value('int64'), 'batch_size': Value('int64'), 'shard_samples': Value('int64'), 'validation_every': Value('int64')}, 'dtype': Value('string'), 'weight_layout': Value('string'), 'relation': Value('string'), 'layer_numbering': Value('string'), 'weights_sha256': Value('string'), 'rng': Value('string'), 'validation_split': Value('string'), 'total_raw_bytes': Value('int64')}
              because column names don't match