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Intel 3.63k

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
model: string
base_model: string
revision: string
private: bool
precision: string
params: double
architectures: string
weight_type: string
status: string
submitted_time: timestamp[s]
model_type: string
job_id: int64
job_start_time: timestamp[s]
scripts: string
model_size: double
compute_dtype: string
model_params: double
hardware: string
quant_type: string
weight_dtype: string
gguf_ftype: string
to
{'model': Value('string'), 'revision': Value('string'), 'private': Value('bool'), 'params': Value('float64'), 'architectures': Value('string'), 'quant_type': Value('string'), 'precision': Value('string'), 'model_params': Value('float64'), 'model_size': Value('float64'), 'weight_dtype': Value('string'), 'compute_dtype': Value('string'), 'gguf_ftype': Value('string'), 'hardware': Value('string'), 'status': Value('string'), 'submitted_time': Value('timestamp[s]'), 'model_type': Value('string'), 'job_id': Value('int64'), 'job_start_time': Value('null'), 'scripts': 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 289, 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 124, 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 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              model: string
              base_model: string
              revision: string
              private: bool
              precision: string
              params: double
              architectures: string
              weight_type: string
              status: string
              submitted_time: timestamp[s]
              model_type: string
              job_id: int64
              job_start_time: timestamp[s]
              scripts: string
              model_size: double
              compute_dtype: string
              model_params: double
              hardware: string
              quant_type: string
              weight_dtype: string
              gguf_ftype: string
              to
              {'model': Value('string'), 'revision': Value('string'), 'private': Value('bool'), 'params': Value('float64'), 'architectures': Value('string'), 'quant_type': Value('string'), 'precision': Value('string'), 'model_params': Value('float64'), 'model_size': Value('float64'), 'weight_dtype': Value('string'), 'compute_dtype': Value('string'), 'gguf_ftype': Value('string'), 'hardware': Value('string'), 'status': Value('string'), 'submitted_time': Value('timestamp[s]'), 'model_type': Value('string'), 'job_id': Value('int64'), 'job_start_time': Value('null'), 'scripts': Value('string')}
              because column names don't match