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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
input: string
output: string
gts: string
score: double
step: int64
uid: string
diagnostic_outcome_code: int64
final_patch_added_lines: int64
final_patch_changed_bytes: int64
final_patch_changed_files: int64
final_patch_deleted_lines: int64
final_patch_empty: int64
final_patch_fingerprint_available: int64
hidden_fail_with_fresh_verification: int64
hidden_fail_without_fresh_verification: int64
hidden_failure_phase: string
hidden_failure_phase_code: int64
hidden_pass: int64
hidden_pass_with_fresh_verification: int64
hidden_pass_without_fresh_verification: int64
hidden_patch_apply_ok: bool
hidden_patch_check_ok: bool
hidden_patch_check_seconds: double
hidden_patch_valid: int64
hidden_reward_seconds: double
hidden_tests_exit_code: int64
hidden_tests_seconds: double
hidden_tests_started: bool
hidden_verifier_setup_ok: bool
hidden_verifier_staging_ok: bool
infra_raw_score: null
infra_shaped_score: null
infra_trajectory_seconds: null
infrastructure_failure: int64
infrastructure_failure_code: int64
infrastructure_failure_reason: string
noninfra_raw_score: double
noninfra_shaped_score: double
noninfra_trajectory_seconds: double
observed_infrastructure_failure: int64
observed_infrastructure_failure_code: int64
observed_infrastructure_failure_reason: string
oom_event_count: int64
oom_exit_code: int64
oom_killed: int64
oom_memory_limit_bytes: int64
oom_peak_memory_bytes: int64
protocol_gate_failed: int64
protocol_gate_passed: int64
protocol_penalty: double
protocol_penalty_reason: string

...
ification_tests_failed: int64
public_verification_tests_passed: int64
public_verification_tests_skipped: int64
public_verification_workspace_changed: int64
raw_score: double
reward_eligible: int64
shaped_score: double
submission_after_fresh_verification: int64
submission_failure_reason: string
submission_penalty: double
submission_penalty_amount: double
submission_signal_seen: bool
submission_signal_type: string
submission_turn: int64
task_id: string
trajectory_assistant_turns: int64
trajectory_elapsed_seconds: double
trajectory_max_turn: int64
trajectory_response_length_limit: int64
trajectory_response_tokens: int64
trajectory_terminal_tool_failure: int64
trajectory_timeout: int64
verification_attempt_count: int64
verification_attempted: int64
verification_fresh: int64
verification_gap_fresh_public_pass_hidden_fail: bool
verification_gap_meaningful_public_pass_hidden_fail: bool
verification_gap_public_pass_hidden_fail: bool
verification_invalidated: int64
verification_is_stale: bool
verification_max_seconds: double
verification_meaningful: int64
verification_passed: bool
verification_penalty: double
verification_penalty_amount: double
verification_penalty_enabled: bool
verification_penalty_reason: string
verification_qualified: bool
verification_status: string
verification_time_fraction: double
verification_total_seconds: double
verification_turn_gap: int64
verification_window_turns: int64
task_filter_excluded: int64
task_filter_ratio: double
task_filter_failure_count: int64
to
{'input': Value('string'), 'output': Value('string'), 'gts': Value('string'), 'score': Value('float64'), 'step': Value('int64'), 'uid': 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
              input: string
              output: string
              gts: string
              score: double
              step: int64
              uid: string
              diagnostic_outcome_code: int64
              final_patch_added_lines: int64
              final_patch_changed_bytes: int64
              final_patch_changed_files: int64
              final_patch_deleted_lines: int64
              final_patch_empty: int64
              final_patch_fingerprint_available: int64
              hidden_fail_with_fresh_verification: int64
              hidden_fail_without_fresh_verification: int64
              hidden_failure_phase: string
              hidden_failure_phase_code: int64
              hidden_pass: int64
              hidden_pass_with_fresh_verification: int64
              hidden_pass_without_fresh_verification: int64
              hidden_patch_apply_ok: bool
              hidden_patch_check_ok: bool
              hidden_patch_check_seconds: double
              hidden_patch_valid: int64
              hidden_reward_seconds: double
              hidden_tests_exit_code: int64
              hidden_tests_seconds: double
              hidden_tests_started: bool
              hidden_verifier_setup_ok: bool
              hidden_verifier_staging_ok: bool
              infra_raw_score: null
              infra_shaped_score: null
              infra_trajectory_seconds: null
              infrastructure_failure: int64
              infrastructure_failure_code: int64
              infrastructure_failure_reason: string
              noninfra_raw_score: double
              noninfra_shaped_score: double
              noninfra_trajectory_seconds: double
              observed_infrastructure_failure: int64
              observed_infrastructure_failure_code: int64
              observed_infrastructure_failure_reason: string
              oom_event_count: int64
              oom_exit_code: int64
              oom_killed: int64
              oom_memory_limit_bytes: int64
              oom_peak_memory_bytes: int64
              protocol_gate_failed: int64
              protocol_gate_passed: int64
              protocol_penalty: double
              protocol_penalty_reason: string
              
              ...
              ification_tests_failed: int64
              public_verification_tests_passed: int64
              public_verification_tests_skipped: int64
              public_verification_workspace_changed: int64
              raw_score: double
              reward_eligible: int64
              shaped_score: double
              submission_after_fresh_verification: int64
              submission_failure_reason: string
              submission_penalty: double
              submission_penalty_amount: double
              submission_signal_seen: bool
              submission_signal_type: string
              submission_turn: int64
              task_id: string
              trajectory_assistant_turns: int64
              trajectory_elapsed_seconds: double
              trajectory_max_turn: int64
              trajectory_response_length_limit: int64
              trajectory_response_tokens: int64
              trajectory_terminal_tool_failure: int64
              trajectory_timeout: int64
              verification_attempt_count: int64
              verification_attempted: int64
              verification_fresh: int64
              verification_gap_fresh_public_pass_hidden_fail: bool
              verification_gap_meaningful_public_pass_hidden_fail: bool
              verification_gap_public_pass_hidden_fail: bool
              verification_invalidated: int64
              verification_is_stale: bool
              verification_max_seconds: double
              verification_meaningful: int64
              verification_passed: bool
              verification_penalty: double
              verification_penalty_amount: double
              verification_penalty_enabled: bool
              verification_penalty_reason: string
              verification_qualified: bool
              verification_status: string
              verification_time_fraction: double
              verification_total_seconds: double
              verification_turn_gap: int64
              verification_window_turns: int64
              task_filter_excluded: int64
              task_filter_ratio: double
              task_filter_failure_count: int64
              to
              {'input': Value('string'), 'output': Value('string'), 'gts': Value('string'), 'score': Value('float64'), 'step': Value('int64'), 'uid': 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

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input
string
output
string
gts
string
score
float64
step
int64
uid
string
"system\n# Tools\n\nYou have access to the following functions:\n\n<tools>\n{\"type\": \"function\",(...TRUNCATED)
"Let me start by exploring the repository structure to understand the codebase and find the relevant(...TRUNCATED)
"{\"benchmark\": \"swe_rebench_v2\", \"instance_id\": \"styled-components__babel-plugin-styled-compo(...TRUNCATED)
1
1
0a5c62a5-773d-4688-adf7-5a780c752689_3_0
"system\n# Tools\n\nYou have access to the following functions:\n\n<tools>\n{\"type\": \"function\",(...TRUNCATED)
"Let me understand the issue described:\n\n1. There's a Trigger object that's not being deleted beca(...TRUNCATED)
"{\"benchmark\": \"swe_rebench_v2\", \"instance_id\": \"knative-sandbox__eventing-kafka-broker-880\"(...TRUNCATED)
1
1
0b10d961-6fb9-4bb0-bd7c-63762d67668f_4_0
"system\n# Tools\n\nYou have access to the following functions:\n\n<tools>\n{\"type\": \"function\",(...TRUNCATED)
"The user wants to add support for bar width format-specification in tqdm. Let me first explore the (...TRUNCATED)
"{\"benchmark\": \"swe_rebench_v2\", \"instance_id\": \"tqdm__tqdm-799\", \"repo\": \"tqdm/tqdm\", \(...TRUNCATED)
1
1
305498a1-9ed3-4671-852e-8b6832511245_5_0
"system\n# Tools\n\nYou have access to the following functions:\n\n<tools>\n{\"type\": \"function\",(...TRUNCATED)
"Let me start by understanding the codebase structure and finding the relevant file mentioned in the(...TRUNCATED)
"{\"benchmark\": \"swe_rebench_v2\", \"instance_id\": \"gardener__machine-controller-manager-495\", (...TRUNCATED)
1
1
408d2047-12d8-414b-bd42-fbfecc0ac93c_0_0
"system\n# Tools\n\nYou have access to the following functions:\n\n<tools>\n{\"type\": \"function\",(...TRUNCATED)
"The user is describing a bug where when a MachineClass references a Secret that doesn't exist yet, (...TRUNCATED)
"{\"benchmark\": \"swe_rebench_v2\", \"instance_id\": \"gardener__machine-controller-manager-495\", (...TRUNCATED)
1
1
408d2047-12d8-414b-bd42-fbfecc0ac93c_5_0
"system\n# Tools\n\nYou have access to the following functions:\n\n<tools>\n{\"type\": \"function\",(...TRUNCATED)
"The user is reporting a bug related to `omit_gap_pos()` after renaming sequences when using `new_ty(...TRUNCATED)
"{\"benchmark\": \"swe_rebench_v2\", \"instance_id\": \"cogent3__cogent3-2269\", \"repo\": \"cogent3(...TRUNCATED)
1
1
4131567e-bcbc-428a-804b-e9e56effa65b_6_0
"system\n# Tools\n\nYou have access to the following functions:\n\n<tools>\n{\"type\": \"function\",(...TRUNCATED)
"The user is describing a bug in Laravel where job batches don't work properly with PostgreSQL. The (...TRUNCATED)
"{\"benchmark\": \"swe_rebench_v2\", \"instance_id\": \"laravel__framework-36081\", \"repo\": \"lara(...TRUNCATED)
1
1
4bc5a493-0ceb-4d68-ae97-d4d939d15bfe_3_0
"system\n# Tools\n\nYou have access to the following functions:\n\n<tools>\n{\"type\": \"function\",(...TRUNCATED)
"The user is describing a bug in Laravel where job batches don't work properly with PostgreSQL. The (...TRUNCATED)
"{\"benchmark\": \"swe_rebench_v2\", \"instance_id\": \"laravel__framework-36081\", \"repo\": \"lara(...TRUNCATED)
1
1
4bc5a493-0ceb-4d68-ae97-d4d939d15bfe_6_0
"system\n# Tools\n\nYou have access to the following functions:\n\n<tools>\n{\"type\": \"function\",(...TRUNCATED)
"Let me analyze this task. The user wants me to fix an issue with job batches not working properly w(...TRUNCATED)
"{\"benchmark\": \"swe_rebench_v2\", \"instance_id\": \"laravel__framework-36081\", \"repo\": \"lara(...TRUNCATED)
1
1
4bc5a493-0ceb-4d68-ae97-d4d939d15bfe_7_0
"system\n# Tools\n\nYou have access to the following functions:\n\n<tools>\n{\"type\": \"function\",(...TRUNCATED)
"The user is suggesting they use black as a code formatter for the Python codebase. They want me to:(...TRUNCATED)
"{\"benchmark\": \"swe_rebench_v2\", \"instance_id\": \"keon__algorithms-551\", \"repo\": \"keon/alg(...TRUNCATED)
1
1
4f4dcba2-6ba2-45c4-bdc2-4fa528b2adf7_0_0
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