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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 15 new columns ({'mutations', 'iterations', 'successful_directional_probes', 'archive_entries', 'generations', 'locality_jumps', 'large_jumps', 'failed_directional_probes', 'covariance_valid', 'local_probes', 'accepted_probes', 'rejected_by_margin', 'model_paths', 'quadratic_paths', 'time_seconds'})

This happened while the csv dataset builder was generating data using

hf://datasets/x5tne/pdbs-v1-results/results-cma.csv (at revision 2b6a267a85da0e26805b8dd6de3244d607f486e3), ['hf://datasets/x5tne/pdbs-v1-results@2b6a267a85da0e26805b8dd6de3244d607f486e3/anytime-cma.csv', 'hf://datasets/x5tne/pdbs-v1-results@2b6a267a85da0e26805b8dd6de3244d607f486e3/anytime.csv', 'hf://datasets/x5tne/pdbs-v1-results@2b6a267a85da0e26805b8dd6de3244d607f486e3/results-cma.csv', 'hf://datasets/x5tne/pdbs-v1-results@2b6a267a85da0e26805b8dd6de3244d607f486e3/results.csv', 'hf://datasets/x5tne/pdbs-v1-results@2b6a267a85da0e26805b8dd6de3244d607f486e3/summary-cma.csv', 'hf://datasets/x5tne/pdbs-v1-results@2b6a267a85da0e26805b8dd6de3244d607f486e3/summary.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
              optimizer: string
              objective: string
              dimension: int64
              seed: int64
              evaluations: int64
              best_fitness: double
              time_seconds: double
              iterations: int64
              generations: int64
              archive_entries: int64
              successful_directional_probes: int64
              failed_directional_probes: int64
              large_jumps: int64
              local_probes: int64
              mutations: int64
              accepted_probes: int64
              rejected_by_margin: int64
              model_paths: int64
              quadratic_paths: int64
              locality_jumps: int64
              covariance_valid: bool
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2882
              to
              {'optimizer': Value('string'), 'objective': Value('string'), 'dimension': Value('int64'), 'seed': Value('int64'), 'evaluations': Value('int64'), 'best_fitness': Value('float64')}
              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 15 new columns ({'mutations', 'iterations', 'successful_directional_probes', 'archive_entries', 'generations', 'locality_jumps', 'large_jumps', 'failed_directional_probes', 'covariance_valid', 'local_probes', 'accepted_probes', 'rejected_by_margin', 'model_paths', 'quadratic_paths', 'time_seconds'})
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/x5tne/pdbs-v1-results/results-cma.csv (at revision 2b6a267a85da0e26805b8dd6de3244d607f486e3), ['hf://datasets/x5tne/pdbs-v1-results@2b6a267a85da0e26805b8dd6de3244d607f486e3/anytime-cma.csv', 'hf://datasets/x5tne/pdbs-v1-results@2b6a267a85da0e26805b8dd6de3244d607f486e3/anytime.csv', 'hf://datasets/x5tne/pdbs-v1-results@2b6a267a85da0e26805b8dd6de3244d607f486e3/results-cma.csv', 'hf://datasets/x5tne/pdbs-v1-results@2b6a267a85da0e26805b8dd6de3244d607f486e3/results.csv', 'hf://datasets/x5tne/pdbs-v1-results@2b6a267a85da0e26805b8dd6de3244d607f486e3/summary-cma.csv', 'hf://datasets/x5tne/pdbs-v1-results@2b6a267a85da0e26805b8dd6de3244d607f486e3/summary.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.

optimizer
string
objective
string
dimension
int64
seed
int64
evaluations
int64
best_fitness
float64
cmaes
sphere
10
1
1,000
0.000003
cmaes
sphere
10
1
2,000
0
cmaes
sphere
10
1
3,000
0
cmaes
sphere
10
1
4,000
0
cmaes
sphere
10
1
5,000
0
cmaes
sphere
10
1
6,000
0
cmaes
sphere
10
1
7,000
0
cmaes
sphere
10
1
8,000
0
cmaes
sphere
10
1
9,000
0
cmaes
sphere
10
1
10,000
0
cmaes
sphere
10
1
11,000
0
cmaes
sphere
10
1
12,000
0
cmaes
sphere
10
1
13,000
0
cmaes
sphere
10
1
14,000
0
cmaes
sphere
10
1
15,000
0
cmaes
sphere
10
1
16,000
0
cmaes
sphere
10
1
17,000
0
cmaes
sphere
10
1
18,000
0
cmaes
sphere
10
1
19,000
0
cmaes
sphere
10
1
20,000
0
cmaes
sphere
10
1
21,000
0
cmaes
sphere
10
1
22,000
0
cmaes
sphere
10
1
23,000
0
cmaes
sphere
10
1
24,000
0
cmaes
sphere
10
1
25,000
0
cmaes
sphere
10
1
26,000
0
cmaes
sphere
10
1
27,000
0
cmaes
sphere
10
1
28,000
0
cmaes
sphere
10
1
29,000
0
cmaes
sphere
10
1
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0
cmaes
sphere
10
1
31,000
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cmaes
sphere
10
1
32,000
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cmaes
sphere
10
1
33,000
0
cmaes
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10
1
34,000
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cmaes
sphere
10
1
35,000
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cmaes
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10
1
36,000
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cmaes
sphere
10
1
37,000
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cmaes
sphere
10
1
38,000
0
cmaes
sphere
10
1
39,000
0
cmaes
sphere
10
1
40,000
0
cmaes
sphere
10
1
41,000
0
cmaes
sphere
10
1
42,000
0
cmaes
sphere
10
1
43,000
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cmaes
sphere
10
1
44,000
0
cmaes
sphere
10
1
45,000
0
cmaes
sphere
10
1
46,000
0
cmaes
sphere
10
1
47,000
0
cmaes
sphere
10
1
48,000
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cmaes
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10
1
49,000
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cmaes
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10
1
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10
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10
1
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10
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10
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10
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10
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1
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10
1
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1
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10
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10
1
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10
1
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10
1
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10
1
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cmaes
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10
1
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10
1
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0
cmaes
sphere
10
1
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sphere
10
1
79,000
0
cmaes
sphere
10
1
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cmaes
sphere
10
1
81,000
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cmaes
sphere
10
1
82,000
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cmaes
sphere
10
1
83,000
0
cmaes
sphere
10
1
84,000
0
cmaes
sphere
10
1
85,000
0
cmaes
sphere
10
1
86,000
0
cmaes
sphere
10
1
87,000
0
cmaes
sphere
10
1
88,000
0
cmaes
sphere
10
1
89,000
0
cmaes
sphere
10
1
90,000
0
cmaes
sphere
10
1
91,000
0
cmaes
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10
1
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cmaes
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10
1
93,000
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sphere
10
1
94,000
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cmaes
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10
1
95,000
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cmaes
sphere
10
1
96,000
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cmaes
sphere
10
1
97,000
0
cmaes
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10
1
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cmaes
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1
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cmaes
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10
1
100,000
0
End of preview.

YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

i benchmark my es, Pivot-Directional Basin Search, and i think it's better

(dim: 10)

Objective old pdbs pdbs-linear pdbs-quadratic PDBS-v1
sphere (mean) 3.2e-9 0.066 0.0025 2.6e-11
rosenbrock (mean) 0.36 22.8 94.1 (unstable) 0.50
rastrigin (mean) 40.0 (stuck) 40.0 (stuck) 1.87 16.1
ackley (mean) 1.76 6.59 (stuck) 0.073 6.8e-6
griewank (mean) 0.0070 0.0142 0.0048 0.0059

(dim:10, 20, 50)

Objective Dim CMA-ES (mean fitness) CMA-ES time (s) PDBS-v1 (mean fitness) PDBS-v1 time (s)
sphere 10 7.3×10⁻⁴⁹ 1.7 2.6×10⁻¹¹ 1.9
sphere 20 4.5×10⁻⁴⁵ 7.9 0.00136 2.2
sphere 50 2.2×10⁻²⁹ 23.7 0.289 4.1
rosenbrock 10 0.399 1.9 0.500 2.2
rosenbrock 20 0.199 10.1 4.88 2.0
rosenbrock 50 2.26 23.5 13.5 4.1
rastrigin 10 13.5 2.8 16.1 2.3
rastrigin 20 32.9 10.5 80.0* 1.8
rastrigin 50 98.8 23.9 200.0* 3.8
ackley 10 4.0×10⁻¹⁵ 2.9 6.8×10⁻⁶ 2.4
ackley 20 4.0×10⁻¹⁵ 10.3 6.57* 1.9
ackley 50 9.5×10⁻¹⁵ 23.9 6.59* 3.9
griewank 10 0.0572 2.8 0.0059 2.2
griewank 20 0.0304 10.3 0.0061 2.3
griewank 50 0.00037 23.1 0.0098 4.4

*all 20 PDBS-v1 seeds land on the exact same value

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