Datasets:

---

NopenAI

/

Q38FN-chat

Like 0

Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
board: list<item: list<item: int64>>
  child 0, item: list<item: int64>
      child 0, item: int64
board_ascii: string
score: int64
state: string
level: int64
run_status: string
type: string
title: string
action_num: int64
analysis_step: int64
action_display: string
reward: double
messages: null
action_name: string
board_changed: bool
done: bool
level_completed: bool
game_over: bool
run_complete: bool
batch_index: int64
batch_size: int64
transcript: string
chat_template_kwargs: struct<preserve_thinking: bool>
  child 0, preserve_thinking: bool
request_index_within_turn: int64
usage: struct<prompt_tokens: int64, total_tokens: int64, completion_tokens: int64, prompt_tokens_details: s (... 74 chars omitted)
  child 0, prompt_tokens: int64
  child 1, total_tokens: int64
  child 2, completion_tokens: int64
  child 3, prompt_tokens_details: struct<cached_tokens: int64, image_tokens: int64>
      child 0, cached_tokens: int64
      child 1, image_tokens: int64
  child 4, reasoning_tokens: int64
tool_choice: string
action: int64
event: string
finish_reason: string
tools: list<item: struct<type: string, function: struct<name: string, description: string, parameters: stru (... 118 chars omitted)
  child 0, item: struct<type: string, function: struct<name: string, description: string, parameters: struct<type: st (... 106 chars omitted)
      child 0, type: string
      child 1, function: struct<name: string, description: string, parameters: struct<type: string, properties: struct<code:  (... 74 chars omitted)
          child 0, name: string
          child 1, description: string
          child 2, parameters: struct<type: string, properties: struct<code: struct<type: string, description: string>>, required:  (... 19 chars omitted)
              child 0, type: string
              child 1, properties: struct<code: struct<type: string, description: string>>
                  child 0, code: struct<type: string, description: string>
                      child 0, type: string
                      child 1, description: string
              child 2, required: list<item: string>
                  child 0, item: string
to
{'messages': List(Json(decode=True)), 'tools': List({'type': Value('string'), 'function': {'name': Value('string'), 'description': Value('string'), 'parameters': {'type': Value('string'), 'properties': {'code': {'type': Value('string'), 'description': Value('string')}}, 'required': List(Value('string'))}}}), 'chat_template_kwargs': {'preserve_thinking': Value('bool')}, 'event': Value('string'), 'tool_choice': Value('string'), 'analysis_step': Value('int64'), 'action': Value('int64'), 'request_index_within_turn': Value('int64'), 'usage': {'prompt_tokens': Value('int64'), 'total_tokens': Value('int64'), 'completion_tokens': Value('int64'), 'prompt_tokens_details': {'cached_tokens': Value('int64'), 'image_tokens': Value('int64')}, 'reasoning_tokens': Value('int64')}, 'finish_reason': 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 1835, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 621, in wrapped
                  for item in generator(*args, **kwargs):
                              ~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 361, 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 2381, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              board: list<item: list<item: int64>>
                child 0, item: list<item: int64>
                    child 0, item: int64
              board_ascii: string
              score: int64
              state: string
              level: int64
              run_status: string
              type: string
              title: string
              action_num: int64
              analysis_step: int64
              action_display: string
              reward: double
              messages: null
              action_name: string
              board_changed: bool
              done: bool
              level_completed: bool
              game_over: bool
              run_complete: bool
              batch_index: int64
              batch_size: int64
              transcript: string
              chat_template_kwargs: struct<preserve_thinking: bool>
                child 0, preserve_thinking: bool
              request_index_within_turn: int64
              usage: struct<prompt_tokens: int64, total_tokens: int64, completion_tokens: int64, prompt_tokens_details: s (... 74 chars omitted)
                child 0, prompt_tokens: int64
                child 1, total_tokens: int64
                child 2, completion_tokens: int64
                child 3, prompt_tokens_details: struct<cached_tokens: int64, image_tokens: int64>
                    child 0, cached_tokens: int64
                    child 1, image_tokens: int64
                child 4, reasoning_tokens: int64
              tool_choice: string
              action: int64
              event: string
              finish_reason: string
              tools: list<item: struct<type: string, function: struct<name: string, description: string, parameters: stru (... 118 chars omitted)
                child 0, item: struct<type: string, function: struct<name: string, description: string, parameters: struct<type: st (... 106 chars omitted)
                    child 0, type: string
                    child 1, function: struct<name: string, description: string, parameters: struct<type: string, properties: struct<code:  (... 74 chars omitted)
                        child 0, name: string
                        child 1, description: string
                        child 2, parameters: struct<type: string, properties: struct<code: struct<type: string, description: string>>, required:  (... 19 chars omitted)
                            child 0, type: string
                            child 1, properties: struct<code: struct<type: string, description: string>>
                                child 0, code: struct<type: string, description: string>
                                    child 0, type: string
                                    child 1, description: string
                            child 2, required: list<item: string>
                                child 0, item: string
              to
              {'messages': List(Json(decode=True)), 'tools': List({'type': Value('string'), 'function': {'name': Value('string'), 'description': Value('string'), 'parameters': {'type': Value('string'), 'properties': {'code': {'type': Value('string'), 'description': Value('string')}}, 'required': List(Value('string'))}}}), 'chat_template_kwargs': {'preserve_thinking': Value('bool')}, 'event': Value('string'), 'tool_choice': Value('string'), 'analysis_step': Value('int64'), 'action': Value('int64'), 'request_index_within_turn': Value('int64'), 'usage': {'prompt_tokens': Value('int64'), 'total_tokens': Value('int64'), 'completion_tokens': Value('int64'), 'prompt_tokens_details': {'cached_tokens': Value('int64'), 'image_tokens': Value('int64')}, 'reasoning_tokens': Value('int64')}, 'finish_reason': 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 1379, 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 956, 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 1702, 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 1887, 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