Datasets:

---

talismanic

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deepswe-trajs

Like 0

Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
trial_name: string
task_name: string
source: string
eval_scope: string
model: string
provider: string
harness: string
config: string
reasoning_effort: string
reward: double
passed: bool
errored: bool
outcome: string
included_in_score: bool
score_value: double
f2p_total: int64
f2p_passed: int64
p2p_total: int64
p2p_passed: int64
f2p: double
p2p: double
partial: double
error_category: null
exception: null
n_agent_steps: int64
cost_usd: double
n_input_tokens: int64
n_cache_tokens: int64
n_output_tokens: int64
peak_context_tokens: int64
started_at: string
finished_at: string
agent_duration_seconds: double
trial_duration_seconds: double
has_model_patch: bool
has_agent_log: bool
has_trajectory: bool
critique: null
metrics_source: string
has_verifier_output: bool
verifier_files: list<item: string>
  child 0, item: string
patch: string
trajectory: string
to
{'trial_name': Value('string'), 'trajectory': Value('string'), 'patch': 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 1827, 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 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              trial_name: string
              task_name: string
              source: string
              eval_scope: string
              model: string
              provider: string
              harness: string
              config: string
              reasoning_effort: string
              reward: double
              passed: bool
              errored: bool
              outcome: string
              included_in_score: bool
              score_value: double
              f2p_total: int64
              f2p_passed: int64
              p2p_total: int64
              p2p_passed: int64
              f2p: double
              p2p: double
              partial: double
              error_category: null
              exception: null
              n_agent_steps: int64
              cost_usd: double
              n_input_tokens: int64
              n_cache_tokens: int64
              n_output_tokens: int64
              peak_context_tokens: int64
              started_at: string
              finished_at: string
              agent_duration_seconds: double
              trial_duration_seconds: double
              has_model_patch: bool
              has_agent_log: bool
              has_trajectory: bool
              critique: null
              metrics_source: string
              has_verifier_output: bool
              verifier_files: list<item: string>
                child 0, item: string
              patch: string
              trajectory: string
              to
              {'trial_name': Value('string'), 'trajectory': Value('string'), 'patch': 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 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 1694, 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 1880, 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