Datasets:

---

vjdeara

/

actground-multimodel-public

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
idx: int64
sample_id: string
error: string
traceback: string
capture_top_k_tokens: string
hf_private: string
dataset_budgets: string
device: string
max_new_tokens: string
checkpoint_every: string
max_prompt_length: string
hf_repo_id: string
output_dir_base: string
do_sample: string
to
{'hf_repo_id': Value('string'), 'hf_private': Value('string'), 'output_dir_base': Value('string'), 'device': Value('string'), 'max_new_tokens': Value('string'), 'do_sample': Value('string'), 'capture_top_k_tokens': Value('string'), 'checkpoint_every': Value('string'), 'max_prompt_length': Value('string'), 'dataset_budgets': 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 2815, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2352, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2377, 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 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/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/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 310, 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 130, 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 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              idx: int64
              sample_id: string
              error: string
              traceback: string
              capture_top_k_tokens: string
              hf_private: string
              dataset_budgets: string
              device: string
              max_new_tokens: string
              checkpoint_every: string
              max_prompt_length: string
              hf_repo_id: string
              output_dir_base: string
              do_sample: string
              to
              {'hf_repo_id': Value('string'), 'hf_private': Value('string'), 'output_dir_base': Value('string'), 'device': Value('string'), 'max_new_tokens': Value('string'), 'do_sample': Value('string'), 'capture_top_k_tokens': Value('string'), 'checkpoint_every': Value('string'), 'max_prompt_length': Value('string'), 'dataset_budgets': Value('string')}
              because column names don't match