Datasets:

---

tinkersnot

/

v2p3-corpus-r23

like 0

Error code:   DatasetGenerationError
Exception:    TypeError
Message:      Couldn't cast array of type
struct<role: string, content: string, tool_calls: list<item: struct<name: string, args: struct<command: string, description: string, args: string, block: string, file_path: string, offset: int64, limit: int64, replace_all: bool, old_string: string, new_string: string, timeout: int64, questions: list<item: struct<question: string, header: string, multiSelect: bool, options: list<item: struct<label: string, description: string, preview: string>>>>, content: string, subagent_type: string, prompt: string, skill: string, run_in_background: bool, query: string, max_results: int64, timeout_ms: int64, persistent: bool, taskId: string, status: string, repro: string, metric: string, subject: string, activeForm: string, isolation: string, jobId: string, repo: string, taskSet: string, rounds: int64, model: string, contentBase64: string, uploadId: string, all: bool, name: string, taskListPlan: string, tasks: string, tool: string, url: string, budget: string, settleMs: int64, intent: string, script: string, task_id: string, allowed_domains: list<item: string>, slug: string, content_base64: string, destination: string, source: string, code: string, fullPage: bool, quality: int64, retry: int64, waitUntil: string, format: string, maxLength: int64, _truncated: string, filter: struct<isInteractive: bool>, detail: string, language: string>>>, name: string, thinking: string>
to
{'role': Value('string'), 'content': Value('string')}
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 2303, in cast_table_to_schema
                  cast_array_to_feature(
                  ~~~~~~~~~~~~~~~~~~~~~^
                      table[name] if name in table_column_names else pa.array([None] * len(table), type=schema.field(name).type),
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                      feature,
                      ^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1852, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                                           ~~~~^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2109, in cast_array_to_feature
                  casted_array_values = _c(array.values, feature.feature)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1854, in wrapper
                  return func(array, *args, **kwargs)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2149, in cast_array_to_feature
                  raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
              TypeError: Couldn't cast array of type
              struct<role: string, content: string, tool_calls: list<item: struct<name: string, args: struct<command: string, description: string, args: string, block: string, file_path: string, offset: int64, limit: int64, replace_all: bool, old_string: string, new_string: string, timeout: int64, questions: list<item: struct<question: string, header: string, multiSelect: bool, options: list<item: struct<label: string, description: string, preview: string>>>>, content: string, subagent_type: string, prompt: string, skill: string, run_in_background: bool, query: string, max_results: int64, timeout_ms: int64, persistent: bool, taskId: string, status: string, repro: string, metric: string, subject: string, activeForm: string, isolation: string, jobId: string, repo: string, taskSet: string, rounds: int64, model: string, contentBase64: string, uploadId: string, all: bool, name: string, taskListPlan: string, tasks: string, tool: string, url: string, budget: string, settleMs: int64, intent: string, script: string, task_id: string, allowed_domains: list<item: string>, slug: string, content_base64: string, destination: string, source: string, code: string, fullPage: bool, quality: int64, retry: int64, waitUntil: string, format: string, maxLength: int64, _truncated: string, filter: struct<isInteractive: bool>, detail: string, language: string>>>, name: string, thinking: string>
              to
              {'role': Value('string'), 'content': Value('string')}
              
              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