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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 17 new columns ({'selected_blue_id', 'revised_diversity', 'n_revised_candidates', 'selected_red_id', 'worldline_completion', 'consensus_gap', 'selected_round', 'adversarial_pressure', 'n_blue_candidates', 'pressure_reduction', 'selected_advantage', 'blue_wins', 'council_diversity', 'robustness_margin', 'blue_doctrinal_alignment', 'vertex_parsimony', 'path_optionality'}) and 6 missing columns ({'n_pareto_optimal', 'candidate_diversity', 'advantage', 'red_quality', 'response_budget', 'candidate_quality_spread'}).
This happened while the csv dataset builder was generating data using
zip://aaai2027/main/council_rows.csv::hf://datasets/nv78/COA-Generation@9deecbdd8cd47e2f4d4f35db068b017194d29a2b/aaai2027.zip, ['hf://datasets/nv78/COA-Generation@9deecbdd8cd47e2f4d4f35db068b017194d29a2b/aaai2027.zip', 'hf://datasets/nv78/COA-Generation@9deecbdd8cd47e2f4d4f35db068b017194d29a2b/dai2026.zip']
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)
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1837, in _prepare_split_single
writer.write_table(table)
~~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
self._write_table(pa_table, writer_batch_size=writer_batch_size)
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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 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
scenario_id: string
terrain_type: string
selected_blue_id: string
selected_red_id: string
selected_advantage: double
blue_doctrinal_alignment: double
red_doctrinal_alignment: double
path_optionality: double
vertex_parsimony: double
worldline_completion: double
council_diversity: double
revised_diversity: double
consensus_gap: double
adversarial_pressure: double
robustness_margin: double
pressure_reduction: double
n_blue_candidates: int64
n_revised_candidates: int64
selected_round: int64
blue_wins: bool
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2943
to
{'scenario_id': Value('string'), 'terrain_type': Value('string'), 'response_budget': Value('int64'), 'advantage': Value('float64'), 'red_quality': Value('float64'), 'red_doctrinal_alignment': Value('float64'), 'candidate_diversity': Value('float64'), 'candidate_quality_spread': Value('float64'), 'n_pareto_optimal': Value('int64')}
because column names don't match
During handling of the above exception, another exception occurred:
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 1839, 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 17 new columns ({'selected_blue_id', 'revised_diversity', 'n_revised_candidates', 'selected_red_id', 'worldline_completion', 'consensus_gap', 'selected_round', 'adversarial_pressure', 'n_blue_candidates', 'pressure_reduction', 'selected_advantage', 'blue_wins', 'council_diversity', 'robustness_margin', 'blue_doctrinal_alignment', 'vertex_parsimony', 'path_optionality'}) and 6 missing columns ({'n_pareto_optimal', 'candidate_diversity', 'advantage', 'red_quality', 'response_budget', 'candidate_quality_spread'}).
This happened while the csv dataset builder was generating data using
zip://aaai2027/main/council_rows.csv::hf://datasets/nv78/COA-Generation@9deecbdd8cd47e2f4d4f35db068b017194d29a2b/aaai2027.zip, ['hf://datasets/nv78/COA-Generation@9deecbdd8cd47e2f4d4f35db068b017194d29a2b/aaai2027.zip', 'hf://datasets/nv78/COA-Generation@9deecbdd8cd47e2f4d4f35db068b017194d29a2b/dai2026.zip']
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)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
scenario_id string | terrain_type string | response_budget int64 | advantage float64 | red_quality float64 | red_doctrinal_alignment float64 | candidate_diversity float64 | candidate_quality_spread float64 | n_pareto_optimal int64 |
|---|---|---|---|---|---|---|---|---|
urban-100 | urban | 1 | 0.550736 | 0.061117 | 0.77 | 0 | 0 | 1 |
urban-100 | urban | 2 | 0.550736 | 0.061117 | 0.77 | 1 | 0.045923 | 1 |
urban-100 | urban | 4 | 0.514545 | 0.205883 | 0.59 | 0.888889 | 0.190689 | 2 |
urban-100 | urban | 8 | 0.491868 | 0.296589 | 0.59 | 0.827381 | 0.281395 | 3 |
urban-100 | urban | 16 | 0.491868 | 0.296589 | 0.59 | 0.776389 | 0.281395 | 4 |
maritime-101 | maritime | 1 | 0.535893 | 0.088427 | 0.665 | 0 | 0 | 1 |
maritime-101 | maritime | 2 | 0.508935 | 0.19626 | 0.665 | 1 | 0.107833 | 1 |
maritime-101 | maritime | 4 | 0.506248 | 0.207008 | 0.62 | 0.680556 | 0.118581 | 2 |
maritime-101 | maritime | 8 | 0.498224 | 0.239103 | 0.76 | 0.710714 | 0.183832 | 1 |
maritime-101 | maritime | 16 | 0.472812 | 0.340753 | 0.76 | 0.692083 | 0.312239 | 2 |
multi-domain-102 | mixed | 1 | 0.535683 | 0.088427 | 0.665 | 0 | 0 | 1 |
multi-domain-102 | mixed | 2 | 0.508724 | 0.19626 | 0.665 | 1 | 0.107833 | 1 |
multi-domain-102 | mixed | 4 | 0.506037 | 0.207008 | 0.62 | 0.680556 | 0.118581 | 2 |
multi-domain-102 | mixed | 8 | 0.498014 | 0.239103 | 0.76 | 0.710714 | 0.183832 | 1 |
multi-domain-102 | mixed | 16 | 0.472601 | 0.340753 | 0.76 | 0.692083 | 0.312239 | 2 |
air-defense-103 | air_defense | 1 | 0.530865 | 0.09854 | 0.71 | 0 | 0 | 1 |
air-defense-103 | air_defense | 2 | 0.507558 | 0.19177 | 0.85 | 1 | 0.09323 | 1 |
air-defense-103 | air_defense | 4 | 0.482149 | 0.293405 | 0.62 | 0.611111 | 0.194866 | 3 |
air-defense-103 | air_defense | 8 | 0.482149 | 0.293405 | 0.62 | 0.629167 | 0.194866 | 2 |
air-defense-103 | air_defense | 16 | 0.469103 | 0.345587 | 0.85 | 0.645694 | 0.302749 | 1 |
humanitarian-evacuation-104 | urban_humanitarian | 1 | 0.477939 | 0.287242 | 0.86 | 0 | 0 | 1 |
humanitarian-evacuation-104 | urban_humanitarian | 2 | 0.477939 | 0.287242 | 0.86 | 0.5 | 0.080234 | 1 |
humanitarian-evacuation-104 | urban_humanitarian | 4 | 0.475603 | 0.296589 | 0.815 | 0.608333 | 0.118412 | 2 |
humanitarian-evacuation-104 | urban_humanitarian | 8 | 0.475603 | 0.296589 | 0.815 | 0.620238 | 0.244676 | 3 |
humanitarian-evacuation-104 | urban_humanitarian | 16 | 0.475603 | 0.296589 | 0.815 | 0.572361 | 0.30401 | 4 |
urban-103 | urban | 1 | 0.530326 | 0.155579 | 0.91 | 0 | 0 | 1 |
urban-103 | urban | 2 | 0.530326 | 0.155579 | 0.91 | 0.666667 | 0.071236 | 1 |
urban-103 | urban | 4 | 0.493388 | 0.303331 | 0.725 | 0.638889 | 0.218987 | 2 |
urban-103 | urban | 8 | 0.493388 | 0.303331 | 0.725 | 0.672619 | 0.218987 | 2 |
urban-103 | urban | 16 | 0.492412 | 0.307239 | 0.59 | 0.736111 | 0.244273 | 3 |
maritime-104 | maritime | 1 | 0.546264 | 0.046942 | 0.805 | 0 | 0 | 1 |
maritime-104 | maritime | 2 | 0.492391 | 0.262437 | 0.625 | 0.5 | 0.215495 | 2 |
maritime-104 | maritime | 4 | 0.492391 | 0.262437 | 0.625 | 0.725 | 0.215495 | 2 |
maritime-104 | maritime | 8 | 0.492391 | 0.262437 | 0.625 | 0.733929 | 0.215495 | 2 |
maritime-104 | maritime | 16 | 0.489721 | 0.273115 | 0.575 | 0.691944 | 0.226173 | 3 |
multi-domain-105 | mixed | 1 | 0.570571 | 0.046942 | 0.805 | 0 | 0 | 1 |
multi-domain-105 | mixed | 2 | 0.516697 | 0.262437 | 0.625 | 0.5 | 0.215495 | 2 |
multi-domain-105 | mixed | 4 | 0.516697 | 0.262437 | 0.625 | 0.725 | 0.215495 | 2 |
multi-domain-105 | mixed | 8 | 0.516697 | 0.262437 | 0.625 | 0.733929 | 0.215495 | 2 |
multi-domain-105 | mixed | 16 | 0.514028 | 0.273115 | 0.575 | 0.691944 | 0.226173 | 3 |
air-defense-106 | air_defense | 1 | 0.531544 | 0.095825 | 0.805 | 0 | 0 | 1 |
air-defense-106 | air_defense | 2 | 0.531544 | 0.095825 | 0.805 | 0.5 | 0.031734 | 2 |
air-defense-106 | air_defense | 4 | 0.512358 | 0.172567 | 0.625 | 0.65 | 0.108476 | 3 |
air-defense-106 | air_defense | 8 | 0.485563 | 0.279746 | 0.665 | 0.66131 | 0.21681 | 3 |
air-defense-106 | air_defense | 16 | 0.471234 | 0.337064 | 0.62 | 0.639028 | 0.318622 | 5 |
humanitarian-evacuation-107 | urban_humanitarian | 1 | 0.528664 | 0.084343 | 0.955 | 0 | 0 | 1 |
humanitarian-evacuation-107 | urban_humanitarian | 2 | 0.528319 | 0.085723 | 0.815 | 0.4 | 0.00138 | 2 |
humanitarian-evacuation-107 | urban_humanitarian | 4 | 0.474301 | 0.301798 | 1 | 0.511111 | 0.217455 | 1 |
humanitarian-evacuation-107 | urban_humanitarian | 8 | 0.474301 | 0.301798 | 1 | 0.569643 | 0.226065 | 1 |
humanitarian-evacuation-107 | urban_humanitarian | 16 | 0.474301 | 0.301798 | 1 | 0.516528 | 0.313859 | 1 |
urban-106 | urban | 1 | 0.453181 | 0.274794 | 0.59 | 0 | 0 | 1 |
urban-106 | urban | 2 | 0.453181 | 0.274794 | 0.59 | 0 | 0.179601 | 2 |
urban-106 | urban | 4 | 0.453181 | 0.274794 | 0.59 | 0.777778 | 0.193461 | 2 |
urban-106 | urban | 8 | 0.453181 | 0.274794 | 0.59 | 0.803571 | 0.235562 | 3 |
urban-106 | urban | 16 | 0.453181 | 0.274794 | 0.59 | 0.783333 | 0.251096 | 3 |
maritime-107 | maritime | 1 | 0.495283 | 0.250868 | 0.625 | 0 | 0 | 1 |
maritime-107 | maritime | 2 | 0.495283 | 0.250868 | 0.625 | 0.333333 | 0.050409 | 2 |
maritime-107 | maritime | 4 | 0.495283 | 0.250868 | 0.625 | 0.772222 | 0.165563 | 2 |
maritime-107 | maritime | 8 | 0.480709 | 0.309166 | 0.625 | 0.674405 | 0.240407 | 2 |
maritime-107 | maritime | 16 | 0.480709 | 0.309166 | 0.625 | 0.685139 | 0.291747 | 3 |
multi-domain-108 | mixed | 1 | 0.476341 | 0.250868 | 0.625 | 0 | 0 | 1 |
multi-domain-108 | mixed | 2 | 0.476341 | 0.250868 | 0.625 | 0.333333 | 0.050409 | 2 |
multi-domain-108 | mixed | 4 | 0.476341 | 0.250868 | 0.625 | 0.772222 | 0.165563 | 2 |
multi-domain-108 | mixed | 8 | 0.461767 | 0.309166 | 0.625 | 0.674405 | 0.240407 | 2 |
multi-domain-108 | mixed | 16 | 0.461767 | 0.309166 | 0.625 | 0.685139 | 0.291747 | 3 |
air-defense-109 | air_defense | 1 | 0.531472 | 0.096114 | 0.805 | 0 | 0 | 1 |
air-defense-109 | air_defense | 2 | 0.491488 | 0.256049 | 0.85 | 0.6 | 0.159935 | 1 |
air-defense-109 | air_defense | 4 | 0.491488 | 0.256049 | 0.85 | 0.538889 | 0.221307 | 1 |
air-defense-109 | air_defense | 8 | 0.491488 | 0.256049 | 0.85 | 0.629762 | 0.225236 | 1 |
air-defense-109 | air_defense | 16 | 0.491488 | 0.256049 | 0.85 | 0.623889 | 0.225236 | 1 |
humanitarian-evacuation-110 | urban_humanitarian | 1 | 0.53828 | 0.045881 | 0.82 | 0 | 0 | 1 |
humanitarian-evacuation-110 | urban_humanitarian | 2 | 0.488463 | 0.245147 | 0.955 | 0.833333 | 0.199265 | 1 |
humanitarian-evacuation-110 | urban_humanitarian | 4 | 0.488463 | 0.245147 | 0.955 | 0.622222 | 0.199265 | 1 |
humanitarian-evacuation-110 | urban_humanitarian | 8 | 0.488463 | 0.245147 | 0.955 | 0.482143 | 0.213979 | 2 |
humanitarian-evacuation-110 | urban_humanitarian | 16 | 0.476936 | 0.291255 | 0.86 | 0.499722 | 0.260087 | 3 |
urban-109 | urban | 1 | 0.553336 | 0.071855 | 0.77 | 0 | 0 | 1 |
urban-109 | urban | 2 | 0.507556 | 0.254977 | 0.73 | 1 | 0.183122 | 2 |
urban-109 | urban | 4 | 0.507556 | 0.254977 | 0.73 | 0.777778 | 0.183122 | 2 |
urban-109 | urban | 8 | 0.506582 | 0.258871 | 0.59 | 0.761905 | 0.206916 | 4 |
urban-109 | urban | 16 | 0.503532 | 0.271074 | 0.59 | 0.7625 | 0.297912 | 4 |
maritime-110 | maritime | 1 | 0.508369 | 0.198525 | 0.62 | 0 | 0 | 1 |
maritime-110 | maritime | 2 | 0.508369 | 0.198525 | 0.62 | 0.333333 | 0.09889 | 2 |
maritime-110 | maritime | 4 | 0.508369 | 0.198525 | 0.62 | 0.680556 | 0.165055 | 2 |
maritime-110 | maritime | 8 | 0.491146 | 0.267415 | 0.62 | 0.694643 | 0.233945 | 2 |
maritime-110 | maritime | 16 | 0.490113 | 0.271549 | 0.62 | 0.72375 | 0.257479 | 3 |
multi-domain-111 | mixed | 1 | 0.529968 | 0.198525 | 0.62 | 0 | 0 | 1 |
multi-domain-111 | mixed | 2 | 0.529968 | 0.198525 | 0.62 | 0.333333 | 0.09889 | 2 |
multi-domain-111 | mixed | 4 | 0.529968 | 0.198525 | 0.62 | 0.680556 | 0.165055 | 2 |
multi-domain-111 | mixed | 8 | 0.512745 | 0.267415 | 0.62 | 0.694643 | 0.233945 | 2 |
multi-domain-111 | mixed | 16 | 0.511712 | 0.271549 | 0.62 | 0.72375 | 0.257479 | 3 |
air-defense-112 | air_defense | 1 | 0.498806 | 0.226776 | 0.62 | 0 | 0 | 1 |
air-defense-112 | air_defense | 2 | 0.491544 | 0.255825 | 0.805 | 0.8 | 0.029049 | 1 |
air-defense-112 | air_defense | 4 | 0.482663 | 0.291349 | 0.665 | 0.7 | 0.257879 | 2 |
air-defense-112 | air_defense | 8 | 0.482663 | 0.291349 | 0.665 | 0.635714 | 0.285465 | 3 |
air-defense-112 | air_defense | 16 | 0.477193 | 0.313227 | 0.805 | 0.598194 | 0.307343 | 2 |
humanitarian-evacuation-113 | urban_humanitarian | 1 | 0.494548 | 0.220807 | 0.815 | 0 | 0 | 1 |
humanitarian-evacuation-113 | urban_humanitarian | 2 | 0.494548 | 0.220807 | 0.815 | 0.8 | 0.076968 | 2 |
humanitarian-evacuation-113 | urban_humanitarian | 4 | 0.477064 | 0.290743 | 0.775 | 0.6 | 0.146903 | 3 |
humanitarian-evacuation-113 | urban_humanitarian | 8 | 0.470943 | 0.315227 | 1 | 0.554762 | 0.248601 | 1 |
humanitarian-evacuation-113 | urban_humanitarian | 16 | 0.470943 | 0.315227 | 1 | 0.579722 | 0.270925 | 1 |
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