Datasets:

---

masteramir

/

CanItDelete

like 0

Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
version: string
meta_info: struct<teacher: string, query_source: string, owner: string, language: string, category: string, res (... 175 chars omitted)
  child 0, teacher: string
  child 1, query_source: string
  child 2, owner: string
  child 3, language: string
  child 4, category: string
  child 5, response_generate_time: timestamp[s]
  child 6, response_update_time: timestamp[s]
  child 7, unique_info: struct<rejection_sampled: bool, scaffold: string, scaffold_version: string>
      child 0, rejection_sampled: bool
      child 1, scaffold: string
      child 2, scaffold_version: string
  child 8, rounds: int64
messages: list<item: string>
  child 0, item: string
tools: list<item: struct<type: string, function: struct<name: string, parameters: struct<type: string, requ (... 121 chars omitted)
  child 0, item: struct<type: string, function: struct<name: string, parameters: struct<type: string, required: list< (... 109 chars omitted)
      child 0, type: string
      child 1, function: struct<name: string, parameters: struct<type: string, required: list<item: string>, properties: stru (... 77 chars omitted)
          child 0, name: string
          child 1, parameters: struct<type: string, required: list<item: string>, properties: struct<command: struct<type: string,  (... 22 chars omitted)
              child 0, type: string
              child 1, required: list<item: string>
                  child 0, item: string
              child 2, properties: struct<command: struct<type: string, description: string>>
                  child 0, command: struct<type: string, description: string>
                      child 0, type: string
                      child 1, description: string
          child 2, description: string
to
{'version': Value('string'), 'meta_info': {'teacher': Value('string'), 'query_source': Value('string'), 'response_generate_time': Value('timestamp[s]'), 'response_update_time': Value('timestamp[s]'), 'owner': Value('string'), 'language': Value('string'), 'category': Value('string'), 'rounds': Value('int64'), 'unique_info': {'capability': Value('string'), 'description': Value('string')}}, 'messages': List(Json(decode=True))}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1816, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
                  for item in generator(*args, **kwargs):
                              ~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, 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 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              version: string
              meta_info: struct<teacher: string, query_source: string, owner: string, language: string, category: string, res (... 175 chars omitted)
                child 0, teacher: string
                child 1, query_source: string
                child 2, owner: string
                child 3, language: string
                child 4, category: string
                child 5, response_generate_time: timestamp[s]
                child 6, response_update_time: timestamp[s]
                child 7, unique_info: struct<rejection_sampled: bool, scaffold: string, scaffold_version: string>
                    child 0, rejection_sampled: bool
                    child 1, scaffold: string
                    child 2, scaffold_version: string
                child 8, rounds: int64
              messages: list<item: string>
                child 0, item: string
              tools: list<item: struct<type: string, function: struct<name: string, parameters: struct<type: string, requ (... 121 chars omitted)
                child 0, item: struct<type: string, function: struct<name: string, parameters: struct<type: string, required: list< (... 109 chars omitted)
                    child 0, type: string
                    child 1, function: struct<name: string, parameters: struct<type: string, required: list<item: string>, properties: stru (... 77 chars omitted)
                        child 0, name: string
                        child 1, parameters: struct<type: string, required: list<item: string>, properties: struct<command: struct<type: string,  (... 22 chars omitted)
                            child 0, type: string
                            child 1, required: list<item: string>
                                child 0, item: string
                            child 2, properties: struct<command: struct<type: string, description: string>>
                                child 0, command: struct<type: string, description: string>
                                    child 0, type: string
                                    child 1, description: string
                        child 2, description: string
              to
              {'version': Value('string'), 'meta_info': {'teacher': Value('string'), 'query_source': Value('string'), 'response_generate_time': Value('timestamp[s]'), 'response_update_time': Value('timestamp[s]'), 'owner': Value('string'), 'language': Value('string'), 'category': Value('string'), 'rounds': Value('int64'), 'unique_info': {'capability': Value('string'), 'description': Value('string')}}, 'messages': List(Json(decode=True))}
              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 1369, 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 948, 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 1683, 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 1869, 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