Datasets:

---

Luna2099

/

diffsim-activations

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
model_name: string
architecture_type: string
num_gelu_layers: int64
gelu_output_dims: list<item: list<item: int64>>
  child 0, item: list<item: int64>
      child 0, item: int64
total_parameters: int64
denoising_iterations: int64
threshold: double
profile_timestamp_utc: string
profile_host: string
git_commit: string
activation_saved: bool
activation_dtype: string
_note: string
_legacy_shim: bool
to
{'model_name': Value('string'), 'architecture_type': Value('string'), 'num_gelu_layers': Value('int64'), 'gelu_output_dims': List(List(Value('int64'))), 'total_parameters': Value('int64'), 'denoising_iterations': Value('int64'), 'threshold': Value('float64'), 'profile_timestamp_utc': Value('timestamp[s]'), 'profile_host': Value('string'), 'git_commit': Value('string'), '_legacy_shim': Value('bool'), '_note': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                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 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 295, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              model_name: string
              architecture_type: string
              num_gelu_layers: int64
              gelu_output_dims: list<item: list<item: int64>>
                child 0, item: list<item: int64>
                    child 0, item: int64
              total_parameters: int64
              denoising_iterations: int64
              threshold: double
              profile_timestamp_utc: string
              profile_host: string
              git_commit: string
              activation_saved: bool
              activation_dtype: string
              _note: string
              _legacy_shim: bool
              to
              {'model_name': Value('string'), 'architecture_type': Value('string'), 'num_gelu_layers': Value('int64'), 'gelu_output_dims': List(List(Value('int64'))), 'total_parameters': Value('int64'), 'denoising_iterations': Value('int64'), 'threshold': Value('float64'), 'profile_timestamp_utc': Value('timestamp[s]'), 'profile_host': Value('string'), 'git_commit': Value('string'), '_legacy_shim': Value('bool'), '_note': Value('string')}
              because column names don't match