Datasets:

---

explcre

/

nt-distill-sweep-all

Like 0

Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
task: string
input_mode: string
best_val_mcc: double
best_epoch: int64
best_test_mcc: double
final_test_mcc: double
teacher_test_mcc: null
params: struct<total: int64, backbone: int64, classifier: int64, input_adapter: int64>
  child 0, total: int64
  child 1, backbone: int64
  child 2, classifier: int64
  child 3, input_adapter: int64
hp: struct<weight_ce: double, weight_kl: double, weight_mse: double, temperature: double, distill_method (... 75 chars omitted)
  child 0, weight_ce: double
  child 1, weight_kl: double
  child 2, weight_mse: double
  child 3, temperature: double
  child 4, distill_method: string
  child 5, lr: double
  child 6, batch_size: int64
  child 7, epochs: int64
  child 8, model_size: string
val_mcc: double
epoch: int64
timestamp: string
to
{'epoch': Value('int64'), 'val_mcc': Value('float64'), 'timestamp': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1827, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
                  for item in generator(*args, **kwargs):
                              ~~~~~~~~~^^^^^^^^^^^^^^^^^
                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
              task: string
              input_mode: string
              best_val_mcc: double
              best_epoch: int64
              best_test_mcc: double
              final_test_mcc: double
              teacher_test_mcc: null
              params: struct<total: int64, backbone: int64, classifier: int64, input_adapter: int64>
                child 0, total: int64
                child 1, backbone: int64
                child 2, classifier: int64
                child 3, input_adapter: int64
              hp: struct<weight_ce: double, weight_kl: double, weight_mse: double, temperature: double, distill_method (... 75 chars omitted)
                child 0, weight_ce: double
                child 1, weight_kl: double
                child 2, weight_mse: double
                child 3, temperature: double
                child 4, distill_method: string
                child 5, lr: double
                child 6, batch_size: int64
                child 7, epochs: int64
                child 8, model_size: string
              val_mcc: double
              epoch: int64
              timestamp: string
              to
              {'epoch': Value('int64'), 'val_mcc': Value('float64'), 'timestamp': Value('string')}
              because column names don't match
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1880, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset