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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 1 new columns ({'invalid_cause'}) and 19 missing columns ({'hit_rate_best', 'n_inversions', 'median_reduction_ratio', 'separation_auc', 'separated', 'median_energy', 'windows_consistent', 'penalty_set', 'max_excess', 'n_invalid', 'quality_rho', 'energy_iqr', 'median_excess', 'quality_p', 'n_energy_runs', 'n_solver_skipped', 'note', 'best_energy', 'quality_n'}).
This happened while the csv dataset builder was generating data using
hf://datasets/JavideuS/Spooky-benchmark/sweeps/sweep_20260828_165155_2200a39e/analysis/failure_causes.csv (at revision d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592), ['hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260828_165155_2200a39e/analysis/energy_diagnostics.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260828_165155_2200a39e/analysis/failure_causes.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260828_165155_2200a39e/analysis/robot_statistics_long.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260828_165155_2200a39e/analysis/runs_long.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260828_165155_2200a39e/analysis/statistical_tests.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260828_165155_2200a39e/analysis/summary_by_solver.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260828_165429_07968de1/analysis/energy_diagnostics.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260828_165429_07968de1/analysis/failure_causes.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260828_165429_07968de1/analysis/robot_statistics_long.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260828_165429_07968de1/analysis/runs_long.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260828_165429_07968de1/analysis/statistical_tests.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260828_165429_07968de1/analysis/summary_by_solver.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260927_221319_f8945177/analysis/energy_diagnostics.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260927_221319_f8945177/analysis/failure_causes.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260927_221319_f8945177/analysis/robot_statistics_long.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260927_221319_f8945177/analysis/runs_long.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260927_221319_f8945177/analysis/statistical_tests.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260927_221319_f8945177/analysis/summary_by_solver.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260927_224931_ad1a6b7e/analysis/energy_diagnostics.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260927_224931_ad1a6b7e/analysis/failure_causes.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260927_224931_ad1a6b7e/analysis/robot_statistics_long.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260927_224931_ad1a6b7e/analysis/runs_long.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260927_224931_ad1a6b7e/analysis/statistical_tests.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260927_224931_ad1a6b7e/analysis/summary_by_solver.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260927_234037_56bd4241/analysis/energy_diagnostics.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260927_234037_56bd4241/analysis/failure_causes.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260927_234037_56bd4241/analysis/robot_statistics_long.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260927_234037_56bd4241/analysis/runs_long.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260927_234037_56bd4241/analysis/statistical_tests.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260927_234037_56bd4241/analysis/summary_by_solver.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260927_235007_fed04f6a/analysis/energy_diagnostics.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260927_235007_fed04f6a/analysis/failure_causes.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260927_235007_fed04f6a/analysis/robot_statistics_long.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260927_235007_fed04f6a/analysis/runs_long.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260927_235007_fed04f6a/analysis/statistical_tests.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260927_235007_fed04f6a/analysis/summary_by_solver.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260928_000237_88c2ab01/analysis/energy_diagnostics.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260928_000237_88c2ab01/analysis/failure_causes.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260928_000237_88c2ab01/analysis/robot_statistics_long.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260928_000237_88c2ab01/analysis/runs_long.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260928_000237_88c2ab01/analysis/statistical_tests.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260928_000237_88c2ab01/analysis/summary_by_solver.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260928_013052_c905c219/analysis/energy_diagnostics.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260928_013052_c905c219/analysis/failure_causes.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260928_013052_c905c219/analysis/robot_statistics_long.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260928_013052_c905c219/analysis/runs_long.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260928_013052_c905c219/analysis/statistical_tests.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260928_013052_c905c219/analysis/summary_by_solver.csv']
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 1848, 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 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
instance_map: string
problem_name: string
solver_name: string
preprocess: string
invalid_cause: string
n_runs: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1003
to
{'instance_map': Value('string'), 'problem_name': Value('string'), 'solver_name': Value('string'), 'penalty_set': Value('string'), 'preprocess': Value('string'), 'n_runs': Value('int64'), 'n_energy_runs': Value('int64'), 'n_invalid': Value('int64'), 'n_solver_skipped': Value('int64'), 'median_reduction_ratio': Value('float64'), 'best_energy': Value('float64'), 'median_energy': Value('float64'), 'energy_iqr': Value('float64'), 'median_excess': Value('float64'), 'max_excess': Value('float64'), 'hit_rate_best': Value('float64'), 'separation_auc': Value('float64'), 'n_inversions': Value('float64'), 'separated': Value('bool'), 'quality_rho': Value('float64'), 'quality_p': Value('float64'), 'quality_n': Value('int64'), 'windows_consistent': Value('bool'), 'note': Value('string')}
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 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 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 1 new columns ({'invalid_cause'}) and 19 missing columns ({'hit_rate_best', 'n_inversions', 'median_reduction_ratio', 'separation_auc', 'separated', 'median_energy', 'windows_consistent', 'penalty_set', 'max_excess', 'n_invalid', 'quality_rho', 'energy_iqr', 'median_excess', 'quality_p', 'n_energy_runs', 'n_solver_skipped', 'note', 'best_energy', 'quality_n'}).
This happened while the csv dataset builder was generating data using
hf://datasets/JavideuS/Spooky-benchmark/sweeps/sweep_20260828_165155_2200a39e/analysis/failure_causes.csv (at revision d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592), ['hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260828_165155_2200a39e/analysis/energy_diagnostics.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260828_165155_2200a39e/analysis/failure_causes.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260828_165155_2200a39e/analysis/robot_statistics_long.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260828_165155_2200a39e/analysis/runs_long.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260828_165155_2200a39e/analysis/statistical_tests.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260828_165155_2200a39e/analysis/summary_by_solver.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260828_165429_07968de1/analysis/energy_diagnostics.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260828_165429_07968de1/analysis/failure_causes.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260828_165429_07968de1/analysis/robot_statistics_long.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260828_165429_07968de1/analysis/runs_long.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260828_165429_07968de1/analysis/statistical_tests.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260828_165429_07968de1/analysis/summary_by_solver.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260927_221319_f8945177/analysis/energy_diagnostics.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260927_221319_f8945177/analysis/failure_causes.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260927_221319_f8945177/analysis/robot_statistics_long.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260927_221319_f8945177/analysis/runs_long.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260927_221319_f8945177/analysis/statistical_tests.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260927_221319_f8945177/analysis/summary_by_solver.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260927_224931_ad1a6b7e/analysis/energy_diagnostics.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260927_224931_ad1a6b7e/analysis/failure_causes.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260927_224931_ad1a6b7e/analysis/robot_statistics_long.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260927_224931_ad1a6b7e/analysis/runs_long.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260927_224931_ad1a6b7e/analysis/statistical_tests.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260927_224931_ad1a6b7e/analysis/summary_by_solver.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260927_234037_56bd4241/analysis/energy_diagnostics.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260927_234037_56bd4241/analysis/failure_causes.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260927_234037_56bd4241/analysis/robot_statistics_long.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260927_234037_56bd4241/analysis/runs_long.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260927_234037_56bd4241/analysis/statistical_tests.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260927_234037_56bd4241/analysis/summary_by_solver.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260927_235007_fed04f6a/analysis/energy_diagnostics.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260927_235007_fed04f6a/analysis/failure_causes.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260927_235007_fed04f6a/analysis/robot_statistics_long.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260927_235007_fed04f6a/analysis/runs_long.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260927_235007_fed04f6a/analysis/statistical_tests.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260927_235007_fed04f6a/analysis/summary_by_solver.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260928_000237_88c2ab01/analysis/energy_diagnostics.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260928_000237_88c2ab01/analysis/failure_causes.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260928_000237_88c2ab01/analysis/robot_statistics_long.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260928_000237_88c2ab01/analysis/runs_long.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260928_000237_88c2ab01/analysis/statistical_tests.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260928_000237_88c2ab01/analysis/summary_by_solver.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260928_013052_c905c219/analysis/energy_diagnostics.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260928_013052_c905c219/analysis/failure_causes.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260928_013052_c905c219/analysis/robot_statistics_long.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260928_013052_c905c219/analysis/runs_long.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260928_013052_c905c219/analysis/statistical_tests.csv', 'hf://datasets/JavideuS/Spooky-benchmark@d33bbeff3ed5ffd6d159b6d4266d8ec3563fe592/sweeps/sweep_20260928_013052_c905c219/analysis/summary_by_solver.csv']
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.
instance_map string | problem_name string | solver_name string | penalty_set string | preprocess string | n_runs int64 | n_energy_runs int64 | n_invalid int64 | n_solver_skipped int64 | median_reduction_ratio float64 | best_energy float64 | median_energy float64 | energy_iqr float64 | median_excess float64 | max_excess float64 | hit_rate_best float64 | separation_auc float64 | n_inversions float64 | separated bool | quality_rho null | quality_p null | quality_n int64 | windows_consistent bool | note string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
quantum/maps/synthetic/3x3/no_obs3x3 | baseline | ilp_highs | null | full | 1 | 1 | 0 | 0 | 0.3333 | 4 | 4 | 0 | 0 | 0 | 1 | null | null | null | null | null | 1 | true | null |
quantum/maps/synthetic/3x3/no_obs3x3 | baseline | ilp_highs | null | raw | 1 | 1 | 0 | 0 | 0 | 4 | 4 | 0 | 0 | 0 | 1 | null | null | null | null | null | 1 | true | null |
quantum/maps/synthetic/3x3/no_obs3x3 | baseline | cbs | null | full | 1 | 1 | 0 | 0 | 0.3333 | 4 | 4 | 0 | 0 | 0 | 1 | null | null | null | null | null | 1 | true | null |
quantum/maps/synthetic/3x3/no_obs3x3 | baseline | cbs | null | raw | 1 | 1 | 0 | 0 | 0 | 4 | 4 | 0 | 0 | 0 | 1 | null | null | null | null | null | 1 | true | null |
quantum/maps/synthetic/3x3/no_obs3x3 | baseline | sa_neal | crash | raw | 10 | 6 | 4 | 0 | null | -30.799076 | -30.799076 | 0 | 0 | 0 | 1 | 0.25 | 18 | false | null | null | 6 | true | 18 invalid run(s) score below a valid one — the penalty for the violated constraint is too weak |
quantum/maps/synthetic/3x3/no_obs3x3 | baseline | sa_neal | crash | bfs_aggressive | 10 | 10 | 0 | 0 | 0 | -30.799076 | -30.799076 | 0 | 0 | 0 | 1 | null | null | null | null | null | 10 | true | null |
quantum/maps/synthetic/3x3/no_obs3x3 | baseline | sa_neal | crash | bfs_safe | 10 | 10 | 0 | 0 | 0 | -30.799076 | -30.799076 | 0 | 0 | 0 | 1 | null | null | null | null | null | 10 | true | null |
quantum/maps/synthetic/3x3/no_obs3x3 | baseline | sa_neal | crash | full | 10 | 10 | 0 | 0 | 0.5625 | -7.066667 | -7.066667 | 0 | 0 | 0 | 1 | null | null | null | null | null | 10 | true | null |
quantum/maps/synthetic/3x3/no_obs3x3 | baseline | qaoa_sim | crash | bfs_aggressive | 10 | 6 | 4 | 0 | 0 | -5.709056 | -3.913404 | 0.933093 | 1.795652 | 1.795652 | 0.166667 | 0 | 24 | false | null | null | 6 | false | window_count_varies (energies carry different dropped constants and are not comparable even within this configuration); 24 invalid run(s) score below a valid one — the penalty for the violated constraint is too weak; energy is positively correlated with path efficiency — lower energy is selecting *worse* paths |
quantum/maps/synthetic/3x3/no_obs3x3 | baseline | qaoa_sim | crash | bfs_safe | 10 | 6 | 4 | 0 | 0 | -9.29387 | -3.995507 | 2.842802 | 5.298363 | 5.5697 | 0.166667 | 0 | 24 | false | null | null | 6 | false | window_count_varies (energies carry different dropped constants and are not comparable even within this configuration); 24 invalid run(s) score below a valid one — the penalty for the violated constraint is too weak; energy is positively correlated with path efficiency — lower energy is selecting *worse* paths |
quantum/maps/synthetic/3x3/no_obs3x3 | baseline | qaoa_sim | crash | full | 10 | 10 | 0 | 0 | 0.5583 | -2.207685 | -1.793891 | 0.827589 | 0.413795 | 0.827589 | 0.5 | null | null | null | null | null | 10 | true | null |
quantum/maps/synthetic/3x3/obs3x3_standard | baseline | ilp_highs | null | full | 1 | 1 | 0 | 0 | 0.3333 | 4 | 4 | 0 | 0 | 0 | 1 | null | null | null | null | null | 1 | true | null |
quantum/maps/synthetic/3x3/obs3x3_standard | baseline | ilp_highs | null | raw | 1 | 1 | 0 | 0 | 0 | 4 | 4 | 0 | 0 | 0 | 1 | null | null | null | null | null | 1 | true | null |
quantum/maps/synthetic/3x3/obs3x3_standard | baseline | cbs | null | full | 1 | 1 | 0 | 0 | 0.4074 | 4 | 4 | 0 | 0 | 0 | 1 | null | null | null | null | null | 1 | true | null |
quantum/maps/synthetic/3x3/obs3x3_standard | baseline | cbs | null | raw | 1 | 1 | 0 | 0 | 0 | 4 | 4 | 0 | 0 | 0 | 1 | null | null | null | null | null | 1 | true | null |
quantum/maps/synthetic/3x3/obs3x3_standard | baseline | sa_neal | crash | raw | 10 | 4 | 6 | 0 | null | -30.799076 | -30.799076 | 0 | 0 | 0 | 1 | 0.166667 | 20 | false | null | null | 4 | true | 20 invalid run(s) score below a valid one — the penalty for the violated constraint is too weak |
quantum/maps/synthetic/3x3/obs3x3_standard | baseline | sa_neal | crash | bfs_aggressive | 10 | 10 | 0 | 0 | 0 | -30.799076 | -30.799076 | 0 | 0 | 0 | 1 | null | null | null | null | null | 10 | true | null |
quantum/maps/synthetic/3x3/obs3x3_standard | baseline | sa_neal | crash | bfs_safe | 10 | 10 | 0 | 0 | 0 | -30.799076 | -30.799076 | 0 | 0 | 0 | 1 | null | null | null | null | null | 10 | true | null |
quantum/maps/synthetic/3x3/obs3x3_standard | baseline | sa_neal | crash | full | 10 | 10 | 0 | 0 | 0.6 | -7.066667 | -7.066667 | 0 | 0 | 0 | 1 | null | null | null | null | null | 10 | true | null |
quantum/maps/synthetic/3x3/obs3x3_standard | baseline | qaoa_sim | crash | bfs_aggressive | 10 | 8 | 2 | 0 | 0 | -3.849319 | -3.849319 | 0 | 0 | 0 | 1 | 0 | 16 | false | null | null | 8 | true | 16 invalid run(s) score below a valid one — the penalty for the violated constraint is too weak |
quantum/maps/synthetic/3x3/obs3x3_standard | baseline | qaoa_sim | crash | bfs_safe | 10 | 2 | 8 | 0 | 0 | -7.046225 | -6.965553 | 0.080672 | 0.080672 | 0.161344 | 0.5 | 0.375 | 10 | false | null | null | 2 | true | 10 invalid run(s) score below a valid one — the penalty for the violated constraint is too weak |
quantum/maps/synthetic/3x3/obs3x3_standard | baseline | qaoa_sim | crash | full | 10 | 10 | 0 | 0 | 0.6 | -1.348054 | -1.348054 | 0 | 0 | 0 | 1 | null | null | null | null | null | 10 | true | null |
quantum/maps/synthetic/5x5/obs5x5_easy | two_robots | ilp_highs | null | full | 1 | 1 | 0 | 0 | 0.5333 | 16 | 16 | 0 | 0 | 0 | 1 | null | null | null | null | null | 1 | true | null |
quantum/maps/synthetic/5x5/obs5x5_easy | two_robots | ilp_highs | null | raw | 1 | 1 | 0 | 0 | 0 | 16 | 16 | 0 | 0 | 0 | 1 | null | null | null | null | null | 1 | true | null |
quantum/maps/synthetic/5x5/obs5x5_easy | two_robots | cbs | null | full | 1 | 1 | 0 | 0 | 0.5707 | 16 | 16 | 0 | 0 | 0 | 1 | null | null | null | null | null | 1 | true | null |
quantum/maps/synthetic/5x5/obs5x5_easy | two_robots | cbs | null | raw | 1 | 1 | 0 | 0 | 0 | 16 | 16 | 0 | 0 | 0 | 1 | null | null | null | null | null | 1 | true | null |
quantum/maps/synthetic/5x5/obs5x5_easy | two_robots | sa_neal | crash | raw | 10 | 0 | 10 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | 0 | true | no_energy_runs (no valid run produced a solver energy — this says nothing about the success rate, see compute_success_rate) |
quantum/maps/synthetic/5x5/obs5x5_easy | two_robots | sa_neal | crash | bfs_aggressive | 10 | 8 | 2 | 0 | 0 | -66.016415 | -56.810937 | 17.880069 | 9.205478 | 18.201312 | 0.125 | 1 | 0 | true | null | null | 8 | false | window_count_varies (energies carry different dropped constants and are not comparable even within this configuration); energy is positively correlated with path efficiency — lower energy is selecting *worse* paths |
quantum/maps/synthetic/5x5/obs5x5_easy | two_robots | sa_neal | crash | bfs_safe | 10 | 4 | 6 | 0 | 0 | -66.589038 | -56.859232 | 17.864112 | 9.729806 | 18.658171 | 0.25 | 0.333333 | 16 | false | null | null | 4 | false | window_count_varies (energies carry different dropped constants and are not comparable even within this configuration); 16 invalid run(s) score below a valid one — the penalty for the violated constraint is too weak; energy is positively correlated with path efficiency — lower energy is selecting *worse* paths |
quantum/maps/synthetic/5x5/obs5x5_easy | two_robots | sa_neal | crash | full | 10 | 10 | 0 | 0 | 0.9383 | -5.066667 | -5.066667 | 0 | 0 | 0 | 1 | null | null | null | null | null | 10 | true | pre-processing removed a median 93.8% of variables — this is mostly measuring BFS, not the solver; run the preprocess ablation to separate them |
quantum/maps/synthetic/5x5/obs5x5_easy | two_robots | qaoa_sim | crash | bfs_aggressive | 10 | 2 | 8 | 0 | 0 | -24.995841 | -24.808362 | 0.187479 | 0.187479 | 0.374958 | 0.5 | 0 | 16 | false | null | null | 2 | true | 16 invalid run(s) score below a valid one — the penalty for the violated constraint is too weak |
quantum/maps/synthetic/5x5/obs5x5_easy | two_robots | qaoa_sim | crash | bfs_safe | 10 | 0 | 10 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | 0 | true | no_energy_runs (no valid run produced a solver energy — this says nothing about the success rate, see compute_success_rate) |
quantum/maps/synthetic/5x5/obs5x5_easy | two_robots | qaoa_sim | crash | full | 10 | 0 | 10 | 0 | 0.975 | null | null | null | null | null | null | null | null | null | null | null | 0 | true | no_energy_runs (no valid run produced a solver energy — this says nothing about the success rate, see compute_success_rate); pre-processing removed a median 97.5% of variables — this is mostly measuring BFS, not the solver; run the preprocess ablation to separate them |
quantum/maps/synthetic/5x5/obs5x5_easy | three_robots | ilp_highs | null | full | 1 | 1 | 0 | 0 | 0.4528 | 24 | 24 | 0 | 0 | 0 | 1 | null | null | null | null | null | 1 | true | null |
quantum/maps/synthetic/5x5/obs5x5_easy | three_robots | ilp_highs | null | raw | 1 | 1 | 0 | 0 | 0 | 24 | 24 | 0 | 0 | 0 | 1 | null | null | null | null | null | 1 | true | null |
quantum/maps/synthetic/5x5/obs5x5_easy | three_robots | cbs | null | full | 1 | 1 | 0 | 0 | 0.4966 | 24 | 24 | 0 | 0 | 0 | 1 | null | null | null | null | null | 1 | true | null |
quantum/maps/synthetic/5x5/obs5x5_easy | three_robots | cbs | null | raw | 1 | 1 | 0 | 0 | 0 | 24 | 24 | 0 | 0 | 0 | 1 | null | null | null | null | null | 1 | true | null |
quantum/maps/synthetic/5x5/obs5x5_easy | three_robots | sa_neal | crash | raw | 10 | 0 | 10 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | 0 | true | no_energy_runs (no valid run produced a solver energy — this says nothing about the success rate, see compute_success_rate) |
quantum/maps/synthetic/5x5/obs5x5_easy | three_robots | sa_neal | crash | bfs_aggressive | 10 | 6 | 4 | 0 | 0 | -129.974803 | -127.991554 | 9.348771 | 1.983249 | 13.690916 | 0.166667 | 0.458333 | 13 | false | null | null | 6 | false | window_count_varies (energies carry different dropped constants and are not comparable even within this configuration); 13 invalid run(s) score below a valid one — the penalty for the violated constraint is too weak; energy is positively correlated with path efficiency — lower energy is selecting *worse* paths |
quantum/maps/synthetic/5x5/obs5x5_easy | three_robots | sa_neal | crash | bfs_safe | 10 | 3 | 7 | 0 | 0 | -137.926068 | -134.48435 | 8.926611 | 3.441719 | 17.853221 | 0.333333 | 0.761905 | 5 | false | null | null | 3 | true | 5 invalid run(s) score below a valid one — the penalty for the violated constraint is too weak; energy is positively correlated with path efficiency — lower energy is selecting *worse* paths |
quantum/maps/synthetic/5x5/obs5x5_easy | three_robots | sa_neal | crash | full | 10 | 0 | 10 | 10 | 0.9792 | null | null | null | null | null | null | null | null | null | null | null | 0 | true | no_energy_runs (no valid run produced a solver energy — this says nothing about the success rate, see compute_success_rate); 10 run(s) were fully pre-processed — the solver never ran and their energy of 0.0 is a sentinel, not a measurement; they are excluded from every column here; pre-processing removed a median 97.9%... |
quantum/maps/synthetic/5x5/obs5x5_easy | three_robots | qaoa_sim | crash | bfs_aggressive | 10 | 0 | 10 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | 0 | true | no_energy_runs (no valid run produced a solver energy — this says nothing about the success rate, see compute_success_rate) |
quantum/maps/synthetic/5x5/obs5x5_easy | three_robots | qaoa_sim | crash | bfs_safe | 10 | 0 | 10 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | 0 | true | no_energy_runs (no valid run produced a solver energy — this says nothing about the success rate, see compute_success_rate) |
quantum/maps/synthetic/5x5/obs5x5_easy | three_robots | qaoa_sim | crash | full | 10 | 0 | 10 | 10 | 0.9918 | null | null | null | null | null | null | null | null | null | null | null | 0 | true | no_energy_runs (no valid run produced a solver energy — this says nothing about the success rate, see compute_success_rate); 10 run(s) were fully pre-processed — the solver never ran and their energy of 0.0 is a sentinel, not a measurement; they are excluded from every column here; pre-processing removed a median 99.2%... |
quantum/maps/synthetic/5x5/obs5x5_medium | three_robots | ilp_highs | null | full | 1 | 1 | 0 | 0 | 0.4253 | 24 | 24 | 0 | 0 | 0 | 1 | null | null | null | null | null | 1 | true | null |
quantum/maps/synthetic/5x5/obs5x5_medium | three_robots | ilp_highs | null | raw | 1 | 1 | 0 | 0 | 0 | 24 | 24 | 0 | 0 | 0 | 1 | null | null | null | null | null | 1 | true | null |
quantum/maps/synthetic/5x5/obs5x5_medium | three_robots | cbs | null | full | 1 | 1 | 0 | 0 | 0.4942 | 24 | 24 | 0 | 0 | 0 | 1 | null | null | null | null | null | 1 | true | null |
quantum/maps/synthetic/5x5/obs5x5_medium | three_robots | cbs | null | raw | 1 | 1 | 0 | 0 | 0 | 24 | 24 | 0 | 0 | 0 | 1 | null | null | null | null | null | 1 | true | null |
quantum/maps/synthetic/5x5/obs5x5_medium | three_robots | sa_neal | crash | raw | 10 | 0 | 10 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | 0 | true | no_energy_runs (no valid run produced a solver energy — this says nothing about the success rate, see compute_success_rate) |
quantum/maps/synthetic/5x5/obs5x5_medium | three_robots | sa_neal | crash | bfs_aggressive | 10 | 2 | 8 | 0 | 0 | -167.928295 | -152.421778 | 15.506517 | 15.506517 | 31.013034 | 0.5 | 1 | 0 | true | null | null | 2 | false | window_count_varies (energies carry different dropped constants and are not comparable even within this configuration) |
quantum/maps/synthetic/5x5/obs5x5_medium | three_robots | sa_neal | crash | bfs_safe | 10 | 5 | 5 | 0 | 0 | -140.161368 | -124.724687 | 17.353118 | 15.436681 | 32.64692 | 0.2 | 0.48 | 13 | false | null | null | 5 | false | window_count_varies (energies carry different dropped constants and are not comparable even within this configuration); 13 invalid run(s) score below a valid one — the penalty for the violated constraint is too weak; energy is positively correlated with path efficiency — lower energy is selecting *worse* paths |
quantum/maps/synthetic/5x5/obs5x5_medium | three_robots | sa_neal | crash | full | 10 | 0 | 10 | 0 | 0.85015 | null | null | null | null | null | null | null | null | null | null | null | 0 | true | no_energy_runs (no valid run produced a solver energy — this says nothing about the success rate, see compute_success_rate) |
quantum/maps/synthetic/5x5/obs5x5_medium | three_robots | qaoa_sim | crash | bfs_aggressive | 10 | 1 | 9 | 0 | 0 | -54.879512 | -54.879512 | 0 | 0 | 0 | 1 | 0.222222 | 7 | false | null | null | 1 | true | 7 invalid run(s) score below a valid one — the penalty for the violated constraint is too weak |
quantum/maps/synthetic/5x5/obs5x5_medium | three_robots | qaoa_sim | crash | bfs_safe | 10 | 0 | 10 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | 0 | true | no_energy_runs (no valid run produced a solver energy — this says nothing about the success rate, see compute_success_rate) |
quantum/maps/synthetic/5x5/obs5x5_medium | three_robots | qaoa_sim | crash | full | 10 | 9 | 1 | 0 | 0.925 | -2.337588 | -2.337588 | 0 | 0 | 0 | 1 | 0 | 9 | false | null | null | 9 | false | pre-processing removed a median 92.5% of variables — this is mostly measuring BFS, not the solver; run the preprocess ablation to separate them; window_count_varies (energies carry different dropped constants and are not comparable even within this configuration); 9 invalid run(s) score below a valid one — the penalty ... |
quantum/maps/synthetic/5x5/obs5x5_hard | two_robots | ilp_highs | null | full | 1 | 1 | 0 | 0 | 0.5 | 17 | 17 | 0 | 0 | 0 | 1 | null | null | null | null | null | 1 | true | null |
quantum/maps/synthetic/5x5/obs5x5_hard | two_robots | ilp_highs | null | raw | 1 | 1 | 0 | 0 | 0 | 17 | 17 | 0 | 0 | 0 | 1 | null | null | null | null | null | 1 | true | null |
quantum/maps/synthetic/5x5/obs5x5_hard | two_robots | cbs | null | full | 1 | 1 | 0 | 0 | 0.58 | 17 | 17 | 0 | 0 | 0 | 1 | null | null | null | null | null | 1 | true | null |
quantum/maps/synthetic/5x5/obs5x5_hard | two_robots | cbs | null | raw | 1 | 1 | 0 | 0 | 0 | 17 | 17 | 0 | 0 | 0 | 1 | null | null | null | null | null | 1 | true | null |
quantum/maps/synthetic/5x5/obs5x5_hard | two_robots | sa_neal | crash | raw | 10 | 0 | 10 | 0 | null | null | null | null | null | null | null | null | null | null | null | null | 0 | true | no_energy_runs (no valid run produced a solver energy — this says nothing about the success rate, see compute_success_rate) |
quantum/maps/synthetic/5x5/obs5x5_hard | two_robots | sa_neal | crash | bfs_aggressive | 10 | 2 | 8 | 0 | 0 | -67.515124 | -67.466065 | 0.049059 | 0.049059 | 0.098118 | 0.5 | 0.75 | 4 | false | null | null | 2 | true | 4 invalid run(s) score below a valid one — the penalty for the violated constraint is too weak |
quantum/maps/synthetic/5x5/obs5x5_hard | two_robots | sa_neal | crash | bfs_safe | 10 | 1 | 9 | 0 | 0 | -89.626884 | -89.626884 | 0 | 0 | 0 | 1 | 0 | 9 | false | null | null | 1 | true | 9 invalid run(s) score below a valid one — the penalty for the violated constraint is too weak |
quantum/maps/synthetic/5x5/obs5x5_hard | two_robots | sa_neal | crash | full | 10 | 0 | 10 | 10 | 1 | null | null | null | null | null | null | null | null | null | null | null | 0 | true | no_energy_runs (no valid run produced a solver energy — this says nothing about the success rate, see compute_success_rate); 10 run(s) were fully pre-processed — the solver never ran and their energy of 0.0 is a sentinel, not a measurement; they are excluded from every column here; pre-processing removed a median 100.0... |
quantum/maps/synthetic/5x5/obs5x5_hard | two_robots | qaoa_sim | crash | bfs_aggressive | 10 | 0 | 10 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | 0 | true | no_energy_runs (no valid run produced a solver energy — this says nothing about the success rate, see compute_success_rate) |
quantum/maps/synthetic/5x5/obs5x5_hard | two_robots | qaoa_sim | crash | bfs_safe | 10 | 0 | 10 | 0 | 0 | null | null | null | null | null | null | null | null | null | null | null | 0 | true | no_energy_runs (no valid run produced a solver energy — this says nothing about the success rate, see compute_success_rate) |
quantum/maps/synthetic/5x5/obs5x5_hard | two_robots | qaoa_sim | crash | full | 10 | 0 | 10 | 10 | 1 | null | null | null | null | null | null | null | null | null | null | null | 0 | true | no_energy_runs (no valid run produced a solver energy — this says nothing about the success rate, see compute_success_rate); 10 run(s) were fully pre-processed — the solver never ran and their energy of 0.0 is a sentinel, not a measurement; they are excluded from every column here; pre-processing removed a median 100.0... |
quantum/maps/synthetic/5x5/obs5x5_easy | three_robots | qaoa_sim | null | bfs_aggressive | 10 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
quantum/maps/synthetic/5x5/obs5x5_easy | three_robots | sa_neal | null | raw | 10 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
quantum/maps/synthetic/5x5/obs5x5_easy | two_robots | qaoa_sim | null | bfs_safe | 10 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
quantum/maps/synthetic/5x5/obs5x5_easy | three_robots | qaoa_sim | null | bfs_safe | 10 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
quantum/maps/synthetic/5x5/obs5x5_easy | two_robots | qaoa_sim | null | full | 10 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
quantum/maps/synthetic/5x5/obs5x5_hard | two_robots | sa_neal | null | raw | 10 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
quantum/maps/synthetic/5x5/obs5x5_medium | three_robots | qaoa_sim | null | bfs_safe | 10 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
quantum/maps/synthetic/5x5/obs5x5_medium | three_robots | sa_neal | null | full | 10 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
quantum/maps/synthetic/5x5/obs5x5_medium | three_robots | sa_neal | null | raw | 10 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
quantum/maps/synthetic/5x5/obs5x5_hard | two_robots | qaoa_sim | null | bfs_aggressive | 10 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
quantum/maps/synthetic/5x5/obs5x5_hard | two_robots | qaoa_sim | null | bfs_safe | 10 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
quantum/maps/synthetic/5x5/obs5x5_easy | two_robots | sa_neal | null | raw | 10 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
quantum/maps/synthetic/5x5/obs5x5_medium | three_robots | qaoa_sim | null | bfs_aggressive | 9 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
quantum/maps/synthetic/5x5/obs5x5_hard | two_robots | sa_neal | null | bfs_safe | 9 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
quantum/maps/synthetic/3x3/obs3x3_standard | baseline | qaoa_sim | null | bfs_safe | 8 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
quantum/maps/synthetic/5x5/obs5x5_hard | two_robots | sa_neal | null | bfs_aggressive | 8 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
quantum/maps/synthetic/5x5/obs5x5_medium | three_robots | sa_neal | null | bfs_aggressive | 8 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
quantum/maps/synthetic/5x5/obs5x5_easy | two_robots | qaoa_sim | null | bfs_aggressive | 8 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
quantum/maps/synthetic/5x5/obs5x5_easy | three_robots | sa_neal | null | bfs_safe | 7 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
quantum/maps/synthetic/5x5/obs5x5_easy | two_robots | sa_neal | null | bfs_safe | 6 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
quantum/maps/synthetic/3x3/obs3x3_standard | baseline | sa_neal | null | raw | 6 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
quantum/maps/synthetic/5x5/obs5x5_medium | three_robots | sa_neal | null | bfs_safe | 5 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
quantum/maps/synthetic/3x3/no_obs3x3 | baseline | qaoa_sim | null | bfs_aggressive | 4 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
quantum/maps/synthetic/3x3/no_obs3x3 | baseline | sa_neal | null | raw | 4 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
quantum/maps/synthetic/3x3/no_obs3x3 | baseline | qaoa_sim | null | bfs_safe | 4 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
quantum/maps/synthetic/5x5/obs5x5_easy | three_robots | sa_neal | null | bfs_aggressive | 4 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
quantum/maps/synthetic/3x3/obs3x3_standard | baseline | qaoa_sim | null | bfs_aggressive | 2 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
quantum/maps/synthetic/5x5/obs5x5_easy | two_robots | sa_neal | null | bfs_aggressive | 2 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
quantum/maps/synthetic/5x5/obs5x5_medium | three_robots | qaoa_sim | null | full | 1 | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
quantum/maps/synthetic/3x3/no_obs3x3 | baseline | ilp_highs | null | full | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
quantum/maps/synthetic/3x3/no_obs3x3 | baseline | ilp_highs | null | raw | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
quantum/maps/synthetic/3x3/no_obs3x3 | baseline | cbs | null | full | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
quantum/maps/synthetic/3x3/no_obs3x3 | baseline | cbs | null | raw | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
quantum/maps/synthetic/3x3/no_obs3x3 | baseline | sa_neal | null | raw | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null | null |
End of preview.