Datasets:

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RM_RES

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Omni_RMBench 8

Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
idx: int64
sampling_model: string
source_image_ori: string
source_image: string
winner: string
loser: string
save_id: int64
prompt_en: string
prompt_cn: string
label: string
dimension: string
system_prompt_name: struct<IF: string, VC: string, VQ: string, IC: string>
  child 0, IF: string
  child 1, VC: string
  child 2, VQ: string
  child 3, IC: string
parser_name: struct<IF: string, VC: string, VQ: string, IC: string>
  child 0, IF: string
  child 1, VC: string
  child 2, VQ: string
  child 3, IC: string
hints: string
output: struct<A: struct<prompt_following: double, consistency: double, perceptual_quality: double, overall: (... 318 chars omitted)
  child 0, A: struct<prompt_following: double, consistency: double, perceptual_quality: double, overall: double, S (... 88 chars omitted)
      child 0, prompt_following: double
      child 1, consistency: double
      child 2, perceptual_quality: double
      child 3, overall: double
      child 4, SC_reasoning: string
      child 5, PQ_reasoning: string
      child 6, ori_result_SC: string
      child 7, ori_result_PQ: string
  child 1, B: struct<prompt_following: double, consistency: double, perceptual_quality: double, overall: double, S (... 88 chars omitted)
      child 0, prompt_following: double
      child 1, consistency: double
      child 2, perceptual_quality: double
      child 3, overall: double
      child 4, SC_reasoning: string
      child 5, PQ_reasoning: string
      child 6, ori_result_SC: string
      child 7, ori_result_PQ: string
  child 2, pred: string
  child 3, gt: string
total: int64
finished: int64
worker_id: int64
status: string
processed: int64
updated_at: timestamp[s]
to
{'worker_id': Value('int64'), 'total': Value('int64'), 'processed': Value('int64'), 'finished': Value('int64'), 'status': Value('string'), 'updated_at': Value('timestamp[s]')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1779, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 295, 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
              idx: int64
              sampling_model: string
              source_image_ori: string
              source_image: string
              winner: string
              loser: string
              save_id: int64
              prompt_en: string
              prompt_cn: string
              label: string
              dimension: string
              system_prompt_name: struct<IF: string, VC: string, VQ: string, IC: string>
                child 0, IF: string
                child 1, VC: string
                child 2, VQ: string
                child 3, IC: string
              parser_name: struct<IF: string, VC: string, VQ: string, IC: string>
                child 0, IF: string
                child 1, VC: string
                child 2, VQ: string
                child 3, IC: string
              hints: string
              output: struct<A: struct<prompt_following: double, consistency: double, perceptual_quality: double, overall: (... 318 chars omitted)
                child 0, A: struct<prompt_following: double, consistency: double, perceptual_quality: double, overall: double, S (... 88 chars omitted)
                    child 0, prompt_following: double
                    child 1, consistency: double
                    child 2, perceptual_quality: double
                    child 3, overall: double
                    child 4, SC_reasoning: string
                    child 5, PQ_reasoning: string
                    child 6, ori_result_SC: string
                    child 7, ori_result_PQ: string
                child 1, B: struct<prompt_following: double, consistency: double, perceptual_quality: double, overall: double, S (... 88 chars omitted)
                    child 0, prompt_following: double
                    child 1, consistency: double
                    child 2, perceptual_quality: double
                    child 3, overall: double
                    child 4, SC_reasoning: string
                    child 5, PQ_reasoning: string
                    child 6, ori_result_SC: string
                    child 7, ori_result_PQ: string
                child 2, pred: string
                child 3, gt: string
              total: int64
              finished: int64
              worker_id: int64
              status: string
              processed: int64
              updated_at: timestamp[s]
              to
              {'worker_id': Value('int64'), 'total': Value('int64'), 'processed': Value('int64'), 'finished': Value('int64'), 'status': Value('string'), 'updated_at': Value('timestamp[s]')}
              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 1347, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 882, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 943, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1832, 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