Datasets:

---

pirola

/

l1-validation-results

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
harness_version: int64
started_at: timestamp[s]
model: string
moe_layer_idx: int64
vllm_version: string
torch_version: string
cuda_version: string
gpu: string
gpu_vram_gib: double
tests: struct<>
errors: struct<test_update_weights_cuda_graph: struct<error: string, traceback: string>, test_per_expert_hoo (... 122 chars omitted)
  child 0, test_update_weights_cuda_graph: struct<error: string, traceback: string>
      child 0, error: string
      child 1, traceback: string
  child 1, test_per_expert_hook_mapping: struct<error: string, traceback: string>
      child 0, error: string
      child 1, traceback: string
  child 2, test_weight_layout_adapter: struct<error: string, traceback: string>
      child 0, error: string
      child 1, traceback: string
finished_at: timestamp[s]
exit_code: int64
status: string
to
{'harness_version': Value('int64'), 'status': Value('string'), 'exit_code': Value('int64'), 'finished_at': Value('timestamp[s]')}
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 299, 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
              harness_version: int64
              started_at: timestamp[s]
              model: string
              moe_layer_idx: int64
              vllm_version: string
              torch_version: string
              cuda_version: string
              gpu: string
              gpu_vram_gib: double
              tests: struct<>
              errors: struct<test_update_weights_cuda_graph: struct<error: string, traceback: string>, test_per_expert_hoo (... 122 chars omitted)
                child 0, test_update_weights_cuda_graph: struct<error: string, traceback: string>
                    child 0, error: string
                    child 1, traceback: string
                child 1, test_per_expert_hook_mapping: struct<error: string, traceback: string>
                    child 0, error: string
                    child 1, traceback: string
                child 2, test_weight_layout_adapter: struct<error: string, traceback: string>
                    child 0, error: string
                    child 1, traceback: string
              finished_at: timestamp[s]
              exit_code: int64
              status: string
              to
              {'harness_version': Value('int64'), 'status': Value('string'), 'exit_code': Value('int64'), 'finished_at': Value('timestamp[s]')}
              because column names don't match