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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 5 new columns ({'macro_f1_std', 'cosine_margin_std', 'macro_f1_mean', 'cosine_margin_mean', 'replicates'}) and 4 missing columns ({'cosine_margin', 'replicate', 'selected_videos', 'macro_f1'}).

This happened while the csv dataset builder was generating data using

hf://datasets/nielsr/olaf-world-repro-staging/latest/adaptation_summary.csv (at revision 1a1bdc8bb5bfde390cc5ca925fdb82fdf9a856fc), ['hf://datasets/nielsr/olaf-world-repro-staging@1a1bdc8bb5bfde390cc5ca925fdb82fdf9a856fc/latest/adaptation_results.csv', 'hf://datasets/nielsr/olaf-world-repro-staging@1a1bdc8bb5bfde390cc5ca925fdb82fdf9a856fc/latest/adaptation_summary.csv', 'hf://datasets/nielsr/olaf-world-repro-staging@1a1bdc8bb5bfde390cc5ca925fdb82fdf9a856fc/latest/feature_counts.csv', 'hf://datasets/nielsr/olaf-world-repro-staging@1a1bdc8bb5bfde390cc5ca925fdb82fdf9a856fc/latest/probe_results.csv', 'hf://datasets/nielsr/olaf-world-repro-staging@1a1bdc8bb5bfde390cc5ca925fdb82fdf9a856fc/latest/probe_summary.csv', 'hf://datasets/nielsr/olaf-world-repro-staging@1a1bdc8bb5bfde390cc5ca925fdb82fdf9a856fc/latest/prototype_similarity.csv', 'hf://datasets/nielsr/olaf-world-repro-staging@1a1bdc8bb5bfde390cc5ca925fdb82fdf9a856fc/latest/prototype_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 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
              model: string
              target_domain: string
              labeled_target_videos: int64
              macro_f1_mean: double
              macro_f1_std: double
              cosine_margin_mean: double
              cosine_margin_std: double
              replicates: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1294
              to
              {'model': Value('string'), 'target_domain': Value('string'), 'labeled_target_videos': Value('int64'), 'replicate': Value('int64'), 'selected_videos': Value('string'), 'macro_f1': Value('float64'), 'cosine_margin': 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 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 5 new columns ({'macro_f1_std', 'cosine_margin_std', 'macro_f1_mean', 'cosine_margin_mean', 'replicates'}) and 4 missing columns ({'cosine_margin', 'replicate', 'selected_videos', 'macro_f1'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/nielsr/olaf-world-repro-staging/latest/adaptation_summary.csv (at revision 1a1bdc8bb5bfde390cc5ca925fdb82fdf9a856fc), ['hf://datasets/nielsr/olaf-world-repro-staging@1a1bdc8bb5bfde390cc5ca925fdb82fdf9a856fc/latest/adaptation_results.csv', 'hf://datasets/nielsr/olaf-world-repro-staging@1a1bdc8bb5bfde390cc5ca925fdb82fdf9a856fc/latest/adaptation_summary.csv', 'hf://datasets/nielsr/olaf-world-repro-staging@1a1bdc8bb5bfde390cc5ca925fdb82fdf9a856fc/latest/feature_counts.csv', 'hf://datasets/nielsr/olaf-world-repro-staging@1a1bdc8bb5bfde390cc5ca925fdb82fdf9a856fc/latest/probe_results.csv', 'hf://datasets/nielsr/olaf-world-repro-staging@1a1bdc8bb5bfde390cc5ca925fdb82fdf9a856fc/latest/probe_summary.csv', 'hf://datasets/nielsr/olaf-world-repro-staging@1a1bdc8bb5bfde390cc5ca925fdb82fdf9a856fc/latest/prototype_similarity.csv', 'hf://datasets/nielsr/olaf-world-repro-staging@1a1bdc8bb5bfde390cc5ca925fdb82fdf9a856fc/latest/prototype_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.

model
string
target_domain
string
labeled_target_videos
int64
replicate
int64
selected_videos
string
macro_f1
float64
cosine_margin
float64
vanilla_beta_vae
1st
0
0
cross-domain:3rd
0.414125
-0.149194
vanilla_beta_vae
1st
1
0
data-80
0.37258
-0.092649
vanilla_beta_vae
1st
1
1
data-103
0.410618
-0.086702
vanilla_beta_vae
1st
1
2
data-105
0.391282
-0.101409
vanilla_beta_vae
1st
1
3
data-114
0.504292
-0.168043
vanilla_beta_vae
1st
1
4
data-117
0.404896
-0.114431
vanilla_beta_vae
1st
1
5
data-122
0.41779
-0.095334
vanilla_beta_vae
1st
1
6
data-124
0.430582
-0.137677
vanilla_beta_vae
1st
3
0
data-114,data-117,data-122
0.397609
-0.080229
vanilla_beta_vae
1st
3
1
data-103,data-114,data-124
0.422569
-0.093937
vanilla_beta_vae
1st
3
2
data-80,data-114,data-122
0.401405
-0.08628
vanilla_beta_vae
1st
3
3
data-80,data-103,data-105
0.385127
-0.073293
vanilla_beta_vae
1st
3
4
data-117,data-122,data-124
0.37968
-0.096771
vanilla_beta_vae
1st
3
5
data-80,data-103,data-124
0.384591
-0.092092
vanilla_beta_vae
1st
3
6
data-80,data-105,data-117
0.390239
-0.098509
vanilla_beta_vae
1st
3
7
data-80,data-103,data-117
0.389573
-0.090209
vanilla_beta_vae
1st
3
8
data-80,data-105,data-122
0.393447
-0.087186
vanilla_beta_vae
1st
3
9
data-103,data-117,data-124
0.4326
-0.103338
vanilla_beta_vae
1st
3
10
data-80,data-103,data-114
0.422605
-0.082577
vanilla_beta_vae
1st
3
11
data-80,data-117,data-122
0.380446
-0.090665
vanilla_beta_vae
1st
3
12
data-103,data-105,data-124
0.412861
-0.086251
vanilla_beta_vae
1st
3
13
data-103,data-117,data-122
0.405854
-0.088613
vanilla_beta_vae
1st
3
14
data-114,data-122,data-124
0.431507
-0.099481
vanilla_beta_vae
1st
3
15
data-103,data-105,data-114
0.389381
-0.066334
vanilla_beta_vae
1st
3
16
data-105,data-117,data-124
0.39806
-0.109884
vanilla_beta_vae
1st
3
17
data-80,data-122,data-124
0.393678
-0.093701
vanilla_beta_vae
1st
3
18
data-80,data-114,data-117
0.399305
-0.089547
vanilla_beta_vae
1st
3
19
data-80,data-105,data-114
0.383726
-0.070313
vanilla_beta_vae
1st
5
0
data-80,data-105,data-117,data-122,data-124
0.376553
-0.089083
vanilla_beta_vae
1st
5
1
data-80,data-105,data-114,data-117,data-122
0.376067
-0.079359
vanilla_beta_vae
1st
5
2
data-80,data-103,data-105,data-117,data-122
0.379571
-0.083877
vanilla_beta_vae
1st
5
3
data-80,data-103,data-114,data-117,data-124
0.422587
-0.092785
vanilla_beta_vae
1st
5
4
data-103,data-105,data-114,data-122,data-124
0.402962
-0.080386
vanilla_beta_vae
1st
5
5
data-80,data-105,data-114,data-122,data-124
0.38267
-0.081378
vanilla_beta_vae
1st
5
6
data-103,data-114,data-117,data-122,data-124
0.400578
-0.086983
vanilla_beta_vae
1st
5
7
data-80,data-103,data-105,data-114,data-117
0.401956
-0.079184
vanilla_beta_vae
1st
5
8
data-103,data-105,data-114,data-117,data-122
0.382436
-0.077042
vanilla_beta_vae
1st
5
9
data-80,data-103,data-105,data-117,data-124
0.402167
-0.092914
vanilla_beta_vae
1st
5
10
data-80,data-105,data-114,data-117,data-124
0.412948
-0.093939
vanilla_beta_vae
1st
5
11
data-105,data-114,data-117,data-122,data-124
0.393331
-0.080566
vanilla_beta_vae
1st
5
12
data-80,data-103,data-114,data-122,data-124
0.404402
-0.087264
vanilla_beta_vae
1st
5
13
data-80,data-114,data-117,data-122,data-124
0.397693
-0.08895
vanilla_beta_vae
1st
5
14
data-80,data-103,data-105,data-114,data-122
0.405864
-0.08245
vanilla_beta_vae
1st
5
15
data-103,data-105,data-117,data-122,data-124
0.384589
-0.086412
vanilla_beta_vae
1st
5
16
data-80,data-103,data-105,data-114,data-124
0.411365
-0.074539
vanilla_beta_vae
1st
5
17
data-103,data-105,data-114,data-117,data-124
0.421875
-0.085742
vanilla_beta_vae
1st
5
18
data-80,data-103,data-114,data-117,data-122
0.396039
-0.083587
vanilla_beta_vae
1st
5
19
data-80,data-103,data-117,data-122,data-124
0.396622
-0.091722
vanilla_beta_vae
1st
7
0
data-80,data-103,data-105,data-114,data-117,data-122,data-124
0.379984
-0.082692
vanilla_beta_vae
3rd
0
0
cross-domain:1st
0.219803
-0.247836
vanilla_beta_vae
3rd
1
1
data-201
0.366759
-0.330678
vanilla_beta_vae
3rd
1
3
data-223
0.329405
-0.267458
vanilla_beta_vae
3rd
1
4
data-230
0.336026
-0.263275
vanilla_beta_vae
3rd
3
0
data-223,data-230,data-242
0.32058
-0.261897
vanilla_beta_vae
3rd
3
1
data-201,data-223,data-245
0.349611
-0.282412
vanilla_beta_vae
3rd
3
2
data-200,data-223,data-242
0.368551
-0.308529
vanilla_beta_vae
3rd
3
3
data-200,data-201,data-205
0.37603
-0.306625
vanilla_beta_vae
3rd
3
4
data-230,data-242,data-245
0.346951
-0.258312
vanilla_beta_vae
3rd
3
5
data-200,data-201,data-245
0.397221
-0.276448
vanilla_beta_vae
3rd
3
6
data-200,data-205,data-230
0.389158
-0.26893
vanilla_beta_vae
3rd
3
7
data-200,data-201,data-230
0.37711
-0.308787
vanilla_beta_vae
3rd
3
8
data-200,data-205,data-242
0.389373
-0.288154
vanilla_beta_vae
3rd
3
9
data-201,data-230,data-245
0.359393
-0.269046
vanilla_beta_vae
3rd
3
10
data-200,data-201,data-223
0.352145
-0.315621
vanilla_beta_vae
3rd
3
11
data-200,data-230,data-242
0.384424
-0.297039
vanilla_beta_vae
3rd
3
12
data-201,data-205,data-245
0.349201
-0.276964
vanilla_beta_vae
3rd
3
13
data-201,data-230,data-242
0.361401
-0.27221
vanilla_beta_vae
3rd
3
14
data-223,data-242,data-245
0.323753
-0.2724
vanilla_beta_vae
3rd
3
15
data-201,data-205,data-223
0.336477
-0.28078
vanilla_beta_vae
3rd
3
16
data-205,data-230,data-245
0.286273
-0.255871
vanilla_beta_vae
3rd
3
17
data-200,data-242,data-245
0.381681
-0.262881
vanilla_beta_vae
3rd
3
18
data-200,data-223,data-230
0.36866
-0.294309
vanilla_beta_vae
3rd
3
19
data-200,data-205,data-223
0.360061
-0.285108
vanilla_beta_vae
3rd
5
0
data-200,data-205,data-230,data-242,data-245
0.343459
-0.259213
vanilla_beta_vae
3rd
5
1
data-200,data-205,data-223,data-230,data-242
0.348179
-0.271091
vanilla_beta_vae
3rd
5
2
data-200,data-201,data-205,data-230,data-242
0.372214
-0.283019
vanilla_beta_vae
3rd
5
3
data-200,data-201,data-223,data-230,data-245
0.364627
-0.272897
vanilla_beta_vae
3rd
5
4
data-201,data-205,data-223,data-242,data-245
0.330463
-0.274794
vanilla_beta_vae
3rd
5
5
data-200,data-205,data-223,data-242,data-245
0.351636
-0.267688
vanilla_beta_vae
3rd
5
6
data-201,data-223,data-230,data-242,data-245
0.322828
-0.27181
vanilla_beta_vae
3rd
5
7
data-200,data-201,data-205,data-223,data-230
0.344679
-0.282989
vanilla_beta_vae
3rd
5
8
data-201,data-205,data-223,data-230,data-242
0.315139
-0.27145
vanilla_beta_vae
3rd
5
9
data-200,data-201,data-205,data-230,data-245
0.358477
-0.27121
vanilla_beta_vae
3rd
5
10
data-200,data-205,data-223,data-230,data-245
0.329846
-0.267842
vanilla_beta_vae
3rd
5
11
data-205,data-223,data-230,data-242,data-245
0.306367
-0.265967
vanilla_beta_vae
3rd
5
12
data-200,data-201,data-223,data-242,data-245
0.38301
-0.278686
vanilla_beta_vae
3rd
5
13
data-200,data-223,data-230,data-242,data-245
0.346421
-0.260343
vanilla_beta_vae
3rd
5
14
data-200,data-201,data-205,data-223,data-242
0.363733
-0.290737
vanilla_beta_vae
3rd
5
15
data-201,data-205,data-230,data-242,data-245
0.32333
-0.269141
vanilla_beta_vae
3rd
5
16
data-200,data-201,data-205,data-223,data-245
0.337707
-0.278522
vanilla_beta_vae
3rd
5
17
data-201,data-205,data-223,data-230,data-245
0.322494
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vanilla_beta_vae
3rd
5
18
data-200,data-201,data-223,data-230,data-242
0.36377
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vanilla_beta_vae
3rd
5
19
data-200,data-201,data-230,data-242,data-245
0.378524
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vanilla_beta_vae
3rd
7
0
data-200,data-201,data-205,data-223,data-230,data-242,data-245
0.334232
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seq_delta_repa
1st
0
0
cross-domain:3rd
0.695146
0.145961
seq_delta_repa
1st
1
0
data-80
0.773575
0.23186
seq_delta_repa
1st
1
1
data-103
0.776436
0.188581
seq_delta_repa
1st
1
2
data-105
0.721046
0.173607
seq_delta_repa
1st
1
3
data-114
0.636732
0.256834
seq_delta_repa
1st
1
4
data-117
0.818565
0.324324
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