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The dataset generation failed
Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
model_id: string
max_attempts: int64
lean_version: string
timestamp: string
total_problems: int64
num_correct: int64
accuracy: double
average_attempts_to_solve: double
total_verified: int64
total_compiled: int64
total_passed: int64
total_wrong_declared: int64
total_precheck_rejected: int64
total_timeouts: int64
total_context_wall_seconds: double
total_verification_wall_seconds: double
overall_pass_rate: double
num_answers: int64
answers_with_token_count: int64
answers_missing_token_count: int64
total_answer_tokens: int64
average_tokens_per_answer: double
verified_answers_with_token_count: int64
verified_answers_missing_token_count: int64
verified_total_answer_tokens: int64
average_tokens_per_verified_answer: double
raw_outputs_path: string
num_workers: int64
batch_size: int64
timeout_per_cmd: int64
max_heartbeats: int64
max_verify_chars: int64
candidate_header_mode: string
memory_hard_limit_mb: int64
max_total_memory: double
max_process_memory: double
max_restart_attempts: int64
lean_cache_strategy: string
enable_incremental_optimization: bool
enable_parallel_elaboration: bool
per_problem_results: list<item: struct<index: int64, name: string, success: bool, attempts_used: int64, num_verified: int (... 861 chars omitted)
child 0, item: struct<index: int64, name: string, success: bool, attempts_used: int64, num_verified: int64, num_com (... 849 chars omitted)
child 0, index: int64
child 1, name: string
child 2, success: bool
child 3, attempts_used: int
...
tains_admit: int64, contains_sorry: int64>
child 0, missing_declaration: int64
child 1, contains_admit: int64
child 2, contains_sorry: int64
child 10, num_timeouts: int64
child 11, context_wall_seconds: double
child 12, verification_wall_seconds: double
child 13, candidate_results: list<item: struct<candidate_index: int64, sample_id: int64, valid: bool, status: string, error_kind: (... 72 chars omitted)
child 0, item: struct<candidate_index: int64, sample_id: int64, valid: bool, status: string, error_kind: string, ti (... 60 chars omitted)
child 0, candidate_index: int64
child 1, sample_id: int64
child 2, valid: bool
child 3, status: string
child 4, error_kind: string
child 5, timed_out: bool
child 6, source_chars: int64
child 7, raw_source_chars: int64
child 14, pass_rate: double
child 15, num_answers: int64
child 16, answers_with_token_count: int64
child 17, answers_missing_token_count: int64
child 18, total_answer_tokens: int64
child 19, average_tokens_per_answer: double
child 20, verified_num_answers: int64
child 21, verified_answers_with_token_count: int64
child 22, verified_answers_missing_token_count: int64
child 23, verified_total_answer_tokens: int64
child 24, verified_average_tokens_per_answer: double
child 25, error: null
to
{'model_id': Value('string'), 'max_attempts': Value('int64'), 'input_path': Value('string'), 'timestamp': Value('timestamp[ns]'), 'tgat_prompt': Value('bool'), 'reasoning': Value('bool'), 'num_problems': Value('int64'), 'problems': {'header': Value('string'), 'index': Value('int64'), 'name': Value('string'), 'outputs': List({'generated_token_count': Value('int64'), 'lean_code': Value('string'), 'raw_text': Value('string'), 'sample_id': Value('int64')}), 'theorem_statement': 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 1848, in _prepare_split_single
writer.write_table(table)
~~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 764, in write_table
self.write_rows_on_file() # in case there are buffered rows to write first
~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 663, in write_rows_on_file
self._write_table(table)
~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._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
model_id: string
max_attempts: int64
lean_version: string
timestamp: string
total_problems: int64
num_correct: int64
accuracy: double
average_attempts_to_solve: double
total_verified: int64
total_compiled: int64
total_passed: int64
total_wrong_declared: int64
total_precheck_rejected: int64
total_timeouts: int64
total_context_wall_seconds: double
total_verification_wall_seconds: double
overall_pass_rate: double
num_answers: int64
answers_with_token_count: int64
answers_missing_token_count: int64
total_answer_tokens: int64
average_tokens_per_answer: double
verified_answers_with_token_count: int64
verified_answers_missing_token_count: int64
verified_total_answer_tokens: int64
average_tokens_per_verified_answer: double
raw_outputs_path: string
num_workers: int64
batch_size: int64
timeout_per_cmd: int64
max_heartbeats: int64
max_verify_chars: int64
candidate_header_mode: string
memory_hard_limit_mb: int64
max_total_memory: double
max_process_memory: double
max_restart_attempts: int64
lean_cache_strategy: string
enable_incremental_optimization: bool
enable_parallel_elaboration: bool
per_problem_results: list<item: struct<index: int64, name: string, success: bool, attempts_used: int64, num_verified: int (... 861 chars omitted)
child 0, item: struct<index: int64, name: string, success: bool, attempts_used: int64, num_verified: int64, num_com (... 849 chars omitted)
child 0, index: int64
child 1, name: string
child 2, success: bool
child 3, attempts_used: int
...
tains_admit: int64, contains_sorry: int64>
child 0, missing_declaration: int64
child 1, contains_admit: int64
child 2, contains_sorry: int64
child 10, num_timeouts: int64
child 11, context_wall_seconds: double
child 12, verification_wall_seconds: double
child 13, candidate_results: list<item: struct<candidate_index: int64, sample_id: int64, valid: bool, status: string, error_kind: (... 72 chars omitted)
child 0, item: struct<candidate_index: int64, sample_id: int64, valid: bool, status: string, error_kind: string, ti (... 60 chars omitted)
child 0, candidate_index: int64
child 1, sample_id: int64
child 2, valid: bool
child 3, status: string
child 4, error_kind: string
child 5, timed_out: bool
child 6, source_chars: int64
child 7, raw_source_chars: int64
child 14, pass_rate: double
child 15, num_answers: int64
child 16, answers_with_token_count: int64
child 17, answers_missing_token_count: int64
child 18, total_answer_tokens: int64
child 19, average_tokens_per_answer: double
child 20, verified_num_answers: int64
child 21, verified_answers_with_token_count: int64
child 22, verified_answers_missing_token_count: int64
child 23, verified_total_answer_tokens: int64
child 24, verified_average_tokens_per_answer: double
child 25, error: null
to
{'model_id': Value('string'), 'max_attempts': Value('int64'), 'input_path': Value('string'), 'timestamp': Value('timestamp[ns]'), 'tgat_prompt': Value('bool'), 'reasoning': Value('bool'), 'num_problems': Value('int64'), 'problems': {'header': Value('string'), 'index': Value('int64'), 'name': Value('string'), 'outputs': List({'generated_token_count': Value('int64'), 'lean_code': Value('string'), 'raw_text': Value('string'), 'sample_id': Value('int64')}), 'theorem_statement': Value('string')}}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1850, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
...<4 lines>...
)
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 38 new columns ({'total_verified', 'total_precheck_rejected', 'memory_hard_limit_mb', 'answers_with_token_count', 'total_passed', 'max_process_memory', 'total_answer_tokens', 'batch_size', 'max_heartbeats', 'enable_parallel_elaboration', 'average_attempts_to_solve', 'total_context_wall_seconds', 'verified_total_answer_tokens', 'average_tokens_per_verified_answer', 'lean_cache_strategy', 'candidate_header_mode', 'raw_outputs_path', 'per_problem_results', 'verified_answers_missing_token_count', 'max_total_memory', 'max_verify_chars', 'total_problems', 'total_wrong_declared', 'lean_version', 'verified_answers_with_token_count', 'overall_pass_rate', 'total_timeouts', 'average_tokens_per_answer', 'enable_incremental_optimization', 'num_workers', 'max_restart_attempts', 'total_verification_wall_seconds', 'timeout_per_cmd', 'num_correct', 'num_answers', 'accuracy', 'answers_missing_token_count', 'total_compiled'}) and 5 missing columns ({'input_path', 'tgat_prompt', 'reasoning', 'problems', 'num_problems'}).
This happened while the json dataset builder was generating data using
hf://datasets/etiennebamas/minif2f-results/_mnt_task_runtime_checkpoints_exports_qwen3-feedback-grpo-step-150__minif2f_20260903_015030_raw.json (at revision edd1c7ebb4563b77cfed04edf82b9a5c53e55afe), ['hf://datasets/etiennebamas/minif2f-results@edd1c7ebb4563b77cfed04edf82b9a5c53e55afe/_mnt_task_runtime_checkpoints_exports_qwen3-feedback-grpo-step-100-batch-128__minif2f_20260903_014942_raw.json', 'hf://datasets/etiennebamas/minif2f-results@edd1c7ebb4563b77cfed04edf82b9a5c53e55afe/_mnt_task_runtime_checkpoints_exports_qwen3-feedback-grpo-step-150___mnt_task_runtime_checkpoints_exports_qwen3-feedback-grpo-step-150__minif2f_20260903_015030_raw_lean_results.json', 'hf://datasets/etiennebamas/minif2f-results@edd1c7ebb4563b77cfed04edf82b9a5c53e55afe/_mnt_task_runtime_checkpoints_exports_qwen3-feedback-grpo-step-150__minif2f_20260903_015030_raw.json'], ['hf://datasets/etiennebamas/minif2f-results@edd1c7ebb4563b77cfed04edf82b9a5c53e55afe/_mnt_task_runtime_checkpoints_exports_qwen3-feedback-grpo-step-100-batch-128__minif2f_20260903_014942_raw.json', 'hf://datasets/etiennebamas/minif2f-results@edd1c7ebb4563b77cfed04edf82b9a5c53e55afe/_mnt_task_runtime_checkpoints_exports_qwen3-feedback-grpo-step-150___mnt_task_runtime_checkpoints_exports_qwen3-feedback-grpo-step-150__minif2f_20260903_015030_raw_lean_results.json', 'hf://datasets/etiennebamas/minif2f-results@edd1c7ebb4563b77cfed04edf82b9a5c53e55afe/_mnt_task_runtime_checkpoints_exports_qwen3-feedback-grpo-step-150__minif2f_20260903_015030_raw.json']
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1869, in _prepare_split_single
num_examples, num_bytes = writer.finalize()
~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 781, in finalize
self.write_rows_on_file()
~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 663, in write_rows_on_file
self._write_table(table)
~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._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
model_id: string
max_attempts: int64
lean_version: string
timestamp: string
total_problems: int64
num_correct: int64
accuracy: double
average_attempts_to_solve: double
total_verified: int64
total_compiled: int64
total_passed: int64
total_wrong_declared: int64
total_precheck_rejected: int64
total_timeouts: int64
total_context_wall_seconds: double
total_verification_wall_seconds: double
overall_pass_rate: double
num_answers: int64
answers_with_token_count: int64
answers_missing_token_count: int64
total_answer_tokens: int64
average_tokens_per_answer: double
verified_answers_with_token_count: int64
verified_answers_missing_token_count: int64
verified_total_answer_tokens: int64
average_tokens_per_verified_answer: double
raw_outputs_path: string
num_workers: int64
batch_size: int64
timeout_per_cmd: int64
max_heartbeats: int64
max_verify_chars: int64
candidate_header_mode: string
memory_hard_limit_mb: int64
max_total_memory: double
max_process_memory: double
max_restart_attempts: int64
lean_cache_strategy: string
enable_incremental_optimization: bool
enable_parallel_elaboration: bool
per_problem_results: list<item: struct<index: int64, name: string, success: bool, attempts_used: int64, num_verified: int (... 861 chars omitted)
child 0, item: struct<index: int64, name: string, success: bool, attempts_used: int64, num_verified: int64, num_com (... 849 chars omitted)
child 0, index: int64
child 1, name: string
child 2, success: bool
child 3, attempts_used: int
...
tains_admit: int64, contains_sorry: int64>
child 0, missing_declaration: int64
child 1, contains_admit: int64
child 2, contains_sorry: int64
child 10, num_timeouts: int64
child 11, context_wall_seconds: double
child 12, verification_wall_seconds: double
child 13, candidate_results: list<item: struct<candidate_index: int64, sample_id: int64, valid: bool, status: string, error_kind: (... 72 chars omitted)
child 0, item: struct<candidate_index: int64, sample_id: int64, valid: bool, status: string, error_kind: string, ti (... 60 chars omitted)
child 0, candidate_index: int64
child 1, sample_id: int64
child 2, valid: bool
child 3, status: string
child 4, error_kind: string
child 5, timed_out: bool
child 6, source_chars: int64
child 7, raw_source_chars: int64
child 14, pass_rate: double
child 15, num_answers: int64
child 16, answers_with_token_count: int64
child 17, answers_missing_token_count: int64
child 18, total_answer_tokens: int64
child 19, average_tokens_per_answer: double
child 20, verified_num_answers: int64
child 21, verified_answers_with_token_count: int64
child 22, verified_answers_missing_token_count: int64
child 23, verified_total_answer_tokens: int64
child 24, verified_average_tokens_per_answer: double
child 25, error: null
to
{'model_id': Value('string'), 'max_attempts': Value('int64'), 'input_path': Value('string'), 'timestamp': Value('timestamp[ns]'), 'tgat_prompt': Value('bool'), 'reasoning': Value('bool'), 'num_problems': Value('int64'), 'problems': {'header': Value('string'), 'index': Value('int64'), 'name': Value('string'), 'outputs': List({'generated_token_count': Value('int64'), 'lean_code': Value('string'), 'raw_text': Value('string'), 'sample_id': Value('int64')}), 'theorem_statement': 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 datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
model_id string | max_attempts int64 | input_path string | timestamp timestamp[us] | tgat_prompt bool | reasoning bool | num_problems int64 | problems dict |
|---|---|---|---|---|---|---|---|
/mnt/task_runtime/checkpoints/exports/qwen3-feedback-grpo-step-100/ | 32 | /mnt/task_runtime/rl_theorem_provers/benchmarks/minif2f.jsonl | 1970-08-23T12:01:43.014000 | true | false | 488 | {"header":"import Mathlib\nimport Aesop\n\nset_option maxHeartbeats 0\n\nopen BigOperators Real Nat (...TRUNCATED) |
/mnt/task_runtime/checkpoints/exports/qwen3-feedback-grpo-step-100/ | 32 | /mnt/task_runtime/rl_theorem_provers/benchmarks/minif2f.jsonl | 1970-08-23T12:01:43.014000 | true | false | 488 | {"header":"import Mathlib\nimport Aesop\n\nset_option maxHeartbeats 0\n\nopen BigOperators Real Nat (...TRUNCATED) |
/mnt/task_runtime/checkpoints/exports/qwen3-feedback-grpo-step-100/ | 32 | /mnt/task_runtime/rl_theorem_provers/benchmarks/minif2f.jsonl | 1970-08-23T12:01:43.014000 | true | false | 488 | {"header":"import Mathlib\nimport Aesop\n\nset_option maxHeartbeats 0\n\nopen BigOperators Real Nat (...TRUNCATED) |
/mnt/task_runtime/checkpoints/exports/qwen3-feedback-grpo-step-100/ | 32 | /mnt/task_runtime/rl_theorem_provers/benchmarks/minif2f.jsonl | 1970-08-23T12:01:43.014000 | true | false | 488 | {"header":"import Mathlib\nimport Aesop\n\nset_option maxHeartbeats 0\n\nopen BigOperators Real Nat (...TRUNCATED) |
/mnt/task_runtime/checkpoints/exports/qwen3-feedback-grpo-step-100/ | 32 | /mnt/task_runtime/rl_theorem_provers/benchmarks/minif2f.jsonl | 1970-08-23T12:01:43.014000 | true | false | 488 | {"header":"import Mathlib\nimport Aesop\n\nset_option maxHeartbeats 0\n\nopen BigOperators Real Nat (...TRUNCATED) |
/mnt/task_runtime/checkpoints/exports/qwen3-feedback-grpo-step-100/ | 32 | /mnt/task_runtime/rl_theorem_provers/benchmarks/minif2f.jsonl | 1970-08-23T12:01:43.014000 | true | false | 488 | {"header":"import Mathlib\nimport Aesop\n\nset_option maxHeartbeats 0\n\nopen BigOperators Real Nat (...TRUNCATED) |
/mnt/task_runtime/checkpoints/exports/qwen3-feedback-grpo-step-100/ | 32 | /mnt/task_runtime/rl_theorem_provers/benchmarks/minif2f.jsonl | 1970-08-23T12:01:43.014000 | true | false | 488 | {"header":"import Mathlib\nimport Aesop\n\nset_option maxHeartbeats 0\n\nopen BigOperators Real Nat (...TRUNCATED) |
/mnt/task_runtime/checkpoints/exports/qwen3-feedback-grpo-step-100/ | 32 | /mnt/task_runtime/rl_theorem_provers/benchmarks/minif2f.jsonl | 1970-08-23T12:01:43.014000 | true | false | 488 | {"header":"import Mathlib\nimport Aesop\n\nset_option maxHeartbeats 0\n\nopen BigOperators Real Nat (...TRUNCATED) |
/mnt/task_runtime/checkpoints/exports/qwen3-feedback-grpo-step-100/ | 32 | /mnt/task_runtime/rl_theorem_provers/benchmarks/minif2f.jsonl | 1970-08-23T12:01:43.014000 | true | false | 488 | {"header":"import Mathlib\nimport Aesop\n\nset_option maxHeartbeats 0\n\nopen BigOperators Real Nat (...TRUNCATED) |
/mnt/task_runtime/checkpoints/exports/qwen3-feedback-grpo-step-100/ | 32 | /mnt/task_runtime/rl_theorem_provers/benchmarks/minif2f.jsonl | 1970-08-23T12:01:43.014000 | true | false | 488 | {"header":"import Mathlib\nimport Aesop\n\nset_option maxHeartbeats 0\n\nopen BigOperators Real Nat (...TRUNCATED) |
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