Datasets:

---

tohio

/

slm-distillation-artifacts

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
chosen: string
metadata: struct<category: string, input_tokens: int64, output_tokens: int64, prompt_id: string, provider: str (... 37 chars omitted)
  child 0, category: string
  child 1, input_tokens: int64
  child 2, output_tokens: int64
  child 3, prompt_id: string
  child 4, provider: string
  child 5, source: string
  child 6, teacher: string
prompt: string
rejected: string
output: string
instruction: string
input: null
to
{'instruction': Value('string'), 'input': Value('null'), 'output': Value('string'), 'metadata': {'source': Value('string'), 'prompt_id': Value('string'), 'category': Value('string'), 'teacher': Value('string'), 'provider': Value('string'), 'input_tokens': Value('int64'), 'output_tokens': Value('int64')}}
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
              chosen: string
              metadata: struct<category: string, input_tokens: int64, output_tokens: int64, prompt_id: string, provider: str (... 37 chars omitted)
                child 0, category: string
                child 1, input_tokens: int64
                child 2, output_tokens: int64
                child 3, prompt_id: string
                child 4, provider: string
                child 5, source: string
                child 6, teacher: string
              prompt: string
              rejected: string
              output: string
              instruction: string
              input: null
              to
              {'instruction': Value('string'), 'input': Value('null'), 'output': Value('string'), 'metadata': {'source': Value('string'), 'prompt_id': Value('string'), 'category': Value('string'), 'teacher': Value('string'), 'provider': Value('string'), 'input_tokens': Value('int64'), 'output_tokens': Value('int64')}}
              because column names don't match