The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
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 4 new columns ({'checkpoint', 'n_utts', 'condition', 'si_sdr_db'}) and 10 missing columns ({'si_sdr_input', 'rt60', 'rir_id', 'si_sdr', 'estoi_input', 'pesq_input', 'drr', 'utterance_id', 'stoi_input', 'c50'}).

This happened while the csv dataset builder was generating data using

hf://datasets/yairamr/SE-Probe-data/cluster-2026-07/dereverb_finetuning_eval/demucs_ft_test_eval_summary.csv (at revision a64aabf5edbeafbf8c55a2ae3d5054984fc5a06a), ['hf://datasets/yairamr/SE-Probe-data@a64aabf5edbeafbf8c55a2ae3d5054984fc5a06a/cluster-2026-07/dereverb_finetuning_eval/demucs_ft_test_eval_parity_epoch_45.csv', 'hf://datasets/yairamr/SE-Probe-data@a64aabf5edbeafbf8c55a2ae3d5054984fc5a06a/cluster-2026-07/dereverb_finetuning_eval/demucs_ft_test_eval_summary.csv', 'hf://datasets/yairamr/SE-Probe-data@a64aabf5edbeafbf8c55a2ae3d5054984fc5a06a/cluster-2026-07/dereverb_finetuning_eval/demucs_ft_test_eval_v2_epoch_57.csv', 'hf://datasets/yairamr/SE-Probe-data@a64aabf5edbeafbf8c55a2ae3d5054984fc5a06a/cluster-2026-07/dereverb_finetuning_eval/mpsenet_ft_test_eval_epoch_48.csv', 'hf://datasets/yairamr/SE-Probe-data@a64aabf5edbeafbf8c55a2ae3d5054984fc5a06a/cluster-2026-07/dereverb_finetuning_eval/mpsenet_ft_test_eval_epoch_49.csv', 'hf://datasets/yairamr/SE-Probe-data@a64aabf5edbeafbf8c55a2ae3d5054984fc5a06a/cluster-2026-07/dereverb_finetuning_eval/mpsenet_ft_test_eval_epoch_50.csv', 'hf://datasets/yairamr/SE-Probe-data@a64aabf5edbeafbf8c55a2ae3d5054984fc5a06a/cluster-2026-07/dereverb_finetuning_eval/mpsenet_ft_test_eval_summary.csv', 'hf://datasets/yairamr/SE-Probe-data@a64aabf5edbeafbf8c55a2ae3d5054984fc5a06a/cluster-2026-07/dereverb_finetuning_eval/pretrained_reverb_eval.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 784, 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 795, 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
              checkpoint: string
              condition: string
              pesq: double
              stoi: double
              estoi: double
              si_sdr_db: double
              n_utts: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1072
              to
              {'utterance_id': Value('string'), 'rir_id': Value('string'), 'rt60': Value('float64'), 'drr': Value('float64'), 'c50': Value('float64'), 'pesq': Value('float64'), 'stoi': Value('float64'), 'estoi': Value('float64'), 'si_sdr': Value('float64'), 'pesq_input': Value('float64'), 'stoi_input': Value('float64'), 'estoi_input': Value('float64'), 'si_sdr_input': 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 4 new columns ({'checkpoint', 'n_utts', 'condition', 'si_sdr_db'}) and 10 missing columns ({'si_sdr_input', 'rt60', 'rir_id', 'si_sdr', 'estoi_input', 'pesq_input', 'drr', 'utterance_id', 'stoi_input', 'c50'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/yairamr/SE-Probe-data/cluster-2026-07/dereverb_finetuning_eval/demucs_ft_test_eval_summary.csv (at revision a64aabf5edbeafbf8c55a2ae3d5054984fc5a06a), ['hf://datasets/yairamr/SE-Probe-data@a64aabf5edbeafbf8c55a2ae3d5054984fc5a06a/cluster-2026-07/dereverb_finetuning_eval/demucs_ft_test_eval_parity_epoch_45.csv', 'hf://datasets/yairamr/SE-Probe-data@a64aabf5edbeafbf8c55a2ae3d5054984fc5a06a/cluster-2026-07/dereverb_finetuning_eval/demucs_ft_test_eval_summary.csv', 'hf://datasets/yairamr/SE-Probe-data@a64aabf5edbeafbf8c55a2ae3d5054984fc5a06a/cluster-2026-07/dereverb_finetuning_eval/demucs_ft_test_eval_v2_epoch_57.csv', 'hf://datasets/yairamr/SE-Probe-data@a64aabf5edbeafbf8c55a2ae3d5054984fc5a06a/cluster-2026-07/dereverb_finetuning_eval/mpsenet_ft_test_eval_epoch_48.csv', 'hf://datasets/yairamr/SE-Probe-data@a64aabf5edbeafbf8c55a2ae3d5054984fc5a06a/cluster-2026-07/dereverb_finetuning_eval/mpsenet_ft_test_eval_epoch_49.csv', 'hf://datasets/yairamr/SE-Probe-data@a64aabf5edbeafbf8c55a2ae3d5054984fc5a06a/cluster-2026-07/dereverb_finetuning_eval/mpsenet_ft_test_eval_epoch_50.csv', 'hf://datasets/yairamr/SE-Probe-data@a64aabf5edbeafbf8c55a2ae3d5054984fc5a06a/cluster-2026-07/dereverb_finetuning_eval/mpsenet_ft_test_eval_summary.csv', 'hf://datasets/yairamr/SE-Probe-data@a64aabf5edbeafbf8c55a2ae3d5054984fc5a06a/cluster-2026-07/dereverb_finetuning_eval/pretrained_reverb_eval.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.

utterance_id
string
rir_id
string
rt60
float64
drr
float64
c50
float64
pesq
float64
stoi
float64
estoi
float64
si_sdr
float64
pesq_input
float64
stoi_input
float64
estoi_input
float64
si_sdr_input
float64
p232_001
lin_rir_000535
0.4298
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6.95
2.534321
0.892084
0.746189
8.063169
1.726038
0.810618
0.624046
-7.776864
p232_001
lin_rir_000115
0.257
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10.45
2.870226
0.90922
0.803055
3.868945
2.021575
0.857213
0.704174
-4.215155
p232_001
lin_rir_000163
0.7913
4.02
9.61
2.730567
0.942768
0.871694
12.157388
2.192097
0.93768
0.837742
5.323034
p232_001
lin_rir_000805
0.3156
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8.95
2.57251
0.904125
0.776342
1.867772
1.53525
0.841358
0.642676
-8.43049
p232_001
lin_rir_000937
0.3937
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8.7
2.867837
0.921204
0.822499
8.092348
1.865699
0.878325
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p232_002
lin_rir_000851
1.0955
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2.54
1.830523
0.89314
0.747303
1.97497
1.241965
0.767107
0.509229
-5.341594
p232_002
lin_rir_000288
0.9291
-12.83
1.24
1.523198
0.859486
0.682376
-0.534233
1.277155
0.675114
0.410757
-7.358958
p232_002
lin_rir_000988
0.3941
1.34
10.59
3.108021
0.961111
0.907074
9.974795
1.940784
0.926115
0.815586
1.271539
p232_002
lin_rir_000172
0.3014
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10.12
2.720331
0.941679
0.861807
7.274675
1.532303
0.853225
0.695622
-1.780533
p232_002
lin_rir_000901
0.6392
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9.04
2.690851
0.941137
0.864707
7.229202
1.375331
0.860929
0.642536
-18.000411
p232_003
lin_rir_000458
0.4628
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6.51
2.167341
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2.626581
1.265078
0.82517
0.526977
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p232_003
lin_rir_000544
0.6297
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8.4
2.434789
0.935374
0.794801
8.672467
1.338502
0.836554
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p232_003
lin_rir_000969
0.2355
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11.9
2.326495
0.920878
0.782712
2.314286
1.255437
0.826301
0.606948
-13.138328
p232_003
lin_rir_000919
0.1578
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19.75
3.069994
0.948662
0.85377
6.509443
1.847207
0.907964
0.768265
-2.350181
p232_003
lin_rir_000555
0.571
-5.31
9.49
2.315789
0.931082
0.796671
3.772995
1.319823
0.849367
0.598902
-10.437214
p232_005
lin_rir_000525
0.4084
-8.36
3.04
1.67096
0.886047
0.734824
3.283979
1.241294
0.734471
0.442164
-28.364865
p232_005
lin_rir_000931
0.3212
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10.15
2.138839
0.920679
0.815446
3.147699
1.434539
0.816163
0.634994
-10.772739
p232_005
lin_rir_000757
0.228
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13.37
2.433075
0.921252
0.820839
6.458283
1.615252
0.837918
0.634152
-17.009487
p232_005
lin_rir_000951
0.1614
4.69
24
3.441448
0.958297
0.910756
7.969444
2.637398
0.948468
0.882878
2.499689
p232_005
lin_rir_000669
0.2062
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15.76
2.546968
0.92667
0.837514
6.038508
1.333057
0.833323
0.668945
-7.581637
p232_006
lin_rir_000252
0.4756
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8.44
2.652278
0.95155
0.866742
7.168496
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0.90471
0.776665
-17.216881
p232_006
lin_rir_000801
0.2228
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14.6
2.332757
0.916157
0.809208
2.110392
1.8142
0.838189
0.695646
-12.98505
p232_006
lin_rir_000391
0.2653
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10.53
2.332868
0.937442
0.854975
4.048366
1.520257
0.86412
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p232_006
lin_rir_000858
0.1843
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2.648393
0.937487
0.859044
3.52768
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p232_006
lin_rir_000535
0.4298
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p232_007
lin_rir_000683
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0.747856
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p232_007
lin_rir_000673
0.4081
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p232_007
lin_rir_000292
0.665
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13.45
2.516878
0.930304
0.856054
5.959402
1.716239
0.834478
0.6847
-7.650622
p232_007
lin_rir_000856
0.431
-1.87
10.06
2.207666
0.924384
0.833149
5.763504
1.328479
0.793032
0.616844
-6.98766
p232_007
lin_rir_000626
0.1362
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21.2
2.863682
0.937722
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4.622414
2.000648
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p232_009
lin_rir_000681
0.3729
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7.62
2.097083
0.915888
0.811982
3.913214
1.52372
0.813131
0.621802
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p232_009
lin_rir_000998
0.4016
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11.52
2.506108
0.941914
0.867258
5.421729
1.317113
0.84389
0.648392
-7.068862
p232_009
lin_rir_000155
0.1707
-2.76
15.87
3.020904
0.9541
0.887183
7.006871
1.976082
0.878553
0.758933
-12.348679
p232_009
lin_rir_000594
0.4131
-8.48
4.8
1.850216
0.907665
0.777308
3.84142
1.248059
0.740312
0.451161
-9.76958
p232_009
lin_rir_000695
0.5509
1.96
7.8
2.419216
0.944278
0.859268
10.375408
1.591797
0.867008
0.651065
0.463052
p232_010
lin_rir_000280
0.3435
0.24
12.86
3.40431
0.963234
0.888454
8.073824
1.955211
0.910651
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2.957189
p232_010
lin_rir_000471
0.2689
-5.54
13.61
2.851019
0.949437
0.845484
6.59396
1.961171
0.887987
0.711547
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p232_010
lin_rir_000673
0.4081
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8.42
2.687552
0.926611
0.810189
6.871987
1.961636
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p232_010
lin_rir_000271
0.466
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6.01
2.732518
0.926283
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7.312394
1.689809
0.80658
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-4.678094
p232_010
lin_rir_000681
0.3729
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7.62
2.325465
0.91698
0.809803
0.879988
1.741915
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p232_011
lin_rir_000995
1.2829
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0.32
1.366336
0.814073
0.606356
-4.879395
1.152237
0.633133
0.336474
-28.239846
p232_011
lin_rir_000185
0.534
-6.19
7.39
2.147327
0.895615
0.771804
2.289809
1.534006
0.780732
0.554451
-28.258279
p232_011
lin_rir_000311
0.3452
-2.9
9.66
2.419936
0.928266
0.832919
5.783485
1.522625
0.84098
0.676033
-2.584443
p232_011
lin_rir_000922
0.7216
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5.83
2.250926
0.916244
0.800751
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1.318385
0.793163
0.595835
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p232_011
lin_rir_000556
0.2483
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13.43
2.531762
0.922286
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3.365812
1.517009
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p232_012
lin_rir_000524
0.4554
-6.58
6.13
1.757582
0.890871
0.772645
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1.364343
0.718737
0.486687
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p232_012
lin_rir_000028
0.1835
0.41
18.8
3.043268
0.947922
0.894504
6.755971
1.934665
0.892841
0.795024
-8.8287
p232_012
lin_rir_000009
0.3332
-4.11
9.45
2.303943
0.92129
0.841585
4.893343
1.635518
0.810265
0.63129
-10.026879
p232_012
lin_rir_000517
0.4516
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4.94
1.595329
0.865411
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p232_012
lin_rir_000960
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1.974483
0.908165
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1.276418
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p232_013
lin_rir_000943
0.7658
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6.9
1.564449
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0.749274
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1.201292
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p232_013
lin_rir_000208
1.1438
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1.74
1.480046
0.851759
0.710744
1.98059
1.144521
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p232_013
lin_rir_000292
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p232_013
lin_rir_000881
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0.8156
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p232_013
lin_rir_000204
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1.64976
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0.693943
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1.249313
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p232_014
lin_rir_000535
0.4298
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2.047232
0.917473
0.826777
7.195658
1.377796
0.785627
0.603995
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p232_014
lin_rir_000738
0.1692
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17.43
2.407325
0.914037
0.832452
3.561927
1.968645
0.841309
0.719968
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p232_014
lin_rir_000713
0.6624
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5.11
1.660248
0.885053
0.774163
0.887956
1.222373
0.745859
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p232_014
lin_rir_000779
0.4437
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3.32
1.695026
0.873776
0.748391
-0.476189
1.323571
0.706277
0.490731
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p232_014
lin_rir_000133
0.3116
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12.39
2.750107
0.95021
0.893145
7.980937
1.582258
0.883459
0.745496
-1.527559
p232_015
lin_rir_000667
0.2173
-5.06
13.27
2.676105
0.931616
0.847417
5.966437
1.658203
0.837157
0.69157
-2.773568
p232_015
lin_rir_000856
0.431
-1.87
10.06
2.239886
0.924032
0.826195
6.134317
1.29848
0.81138
0.634002
-6.267545
p232_015
lin_rir_000547
0.4242
-7.61
5.24
1.900443
0.881802
0.756379
0.976231
1.272441
0.764939
0.52622
-21.378378
p232_015
lin_rir_000812
1.2081
1.01
8.01
2.267335
0.933661
0.845518
7.628062
1.34534
0.834567
0.639033
0.058959
p232_015
lin_rir_000934
0.6019
-9.9
7.03
1.756209
0.903405
0.783898
0.525825
1.293383
0.780155
0.579644
-11.162696
p232_016
lin_rir_000671
0.5488
-2.78
5.75
2.09228
0.922129
0.802901
5.808568
1.402443
0.812156
0.575409
-2.28276
p232_016
lin_rir_000232
0.2119
-2.71
17.28
2.385267
0.945069
0.870391
2.565614
1.38962
0.878203
0.72447
-8.162028
p232_016
lin_rir_000172
0.3014
-4.9
10.12
2.673323
0.937974
0.868106
6.161299
1.556545
0.866067
0.713428
-4.757266
p232_016
lin_rir_000502
0.2312
2.44
22.63
3.551025
0.969232
0.933357
10.503822
2.610103
0.951485
0.902925
2.609114
p232_016
lin_rir_000051
0.2257
-10.08
6.95
2.258753
0.909724
0.807317
2.064929
1.483248
0.761223
0.561213
-8.424935
p232_017
lin_rir_000064
0.4319
-1.04
8.89
2.501275
0.927528
0.835985
7.369788
1.61357
0.821505
0.663266
-1.483584
p232_017
lin_rir_000288
0.9291
-12.83
1.24
1.512586
0.814376
0.647353
-7.687594
1.260862
0.62552
0.329614
-10.864325
p232_017
lin_rir_000838
0.2156
-7.54
14.67
2.740305
0.942107
0.872156
6.497266
2.141309
0.872179
0.765332
-10.069522
p232_017
lin_rir_000668
0.9412
0.13
8.08
2.083668
0.899852
0.776288
5.285707
1.282577
0.772517
0.547655
-7.704205
p232_017
lin_rir_000713
0.6624
-7.94
5.11
1.880159
0.907942
0.795068
1.950873
1.174103
0.734528
0.498671
-16.449478
p232_019
lin_rir_000834
0.4777
-6.68
7.11
2.082859
0.919345
0.806721
-0.655728
1.468299
0.843902
0.634671
-32.136014
p232_019
lin_rir_000458
0.4628
-5.08
6.51
2.084794
0.927874
0.813563
3.321712
1.30091
0.791702
0.521227
-10.935911
p232_019
lin_rir_000064
0.4319
-1.04
8.89
2.246828
0.943104
0.84298
6.712625
1.621434
0.847318
0.654359
-2.511918
p232_019
lin_rir_000143
0.3614
-2.05
13.27
2.628531
0.949032
0.868153
5.692661
1.646649
0.873721
0.694996
-3.779895
p232_019
lin_rir_000683
0.984
-5.87
3.37
1.889789
0.915188
0.772593
4.531156
1.227517
0.783517
0.508241
-17.764609
p232_020
lin_rir_000321
0.2509
-8.28
10.79
2.405076
0.902027
0.77287
2.355199
1.735612
0.779842
0.581775
-17.598443
p232_020
lin_rir_000584
1.0446
-8.64
2.73
1.562081
0.840613
0.641841
1.617971
1.219007
0.619661
0.340139
-22.588824
p232_020
lin_rir_000969
0.2355
-6.3
11.9
2.513953
0.893155
0.785004
2.289474
1.317822
0.767691
0.573331
-15.005576
p232_020
lin_rir_000115
0.257
-4.08
10.45
2.987993
0.927124
0.830076
6.652618
1.851883
0.820146
0.677732
-1.21004
p232_020
lin_rir_000134
0.2253
-2.21
17.3
2.571521
0.924597
0.827771
6.164073
1.533898
0.849382
0.702462
-6.240613
p232_021
lin_rir_000409
0.3378
-5.39
13.98
2.416251
0.935699
0.849482
5.98687
1.371208
0.854518
0.697353
-13.949982
p232_021
lin_rir_000170
0.2962
-10.05
6.41
2.412033
0.929449
0.833389
5.65441
1.375165
0.806269
0.591536
-16.049055
p232_021
lin_rir_000028
0.1835
0.41
18.8
3.041435
0.949089
0.881286
7.885067
1.714004
0.870626
0.767455
-11.645025
p232_021
lin_rir_000292
0.665
-4.76
13.45
2.447658
0.931462
0.836837
5.860812
1.483525
0.835215
0.645154
-8.051228
p232_021
lin_rir_000713
0.6624
-7.94
5.11
1.751368
0.910352
0.796462
1.127432
1.184693
0.760144
0.503112
-14.775763
p232_022
lin_rir_000793
0.2583
-5.83
11.18
2.571337
0.93285
0.857694
5.497929
1.816347
0.857519
0.701097
-4.676011
p232_022
lin_rir_000394
0.2175
-4.85
12.75
2.121435
0.922233
0.832652
3.884111
1.575568
0.824172
0.652845
-7.629829
p232_022
lin_rir_000323
0.1947
-4.95
16.44
2.576769
0.932421
0.86
4.073082
1.868906
0.816973
0.667936
-11.984903
p232_022
lin_rir_000588
0.2868
-4.77
9.08
2.334436
0.91888
0.829732
3.980664
1.286211
0.783591
0.609603
-10.964783
p232_022
lin_rir_000850
0.2252
-6.83
12.95
2.540525
0.928356
0.853417
5.08822
1.596318
0.84998
0.721544
-9.08513
p232_023
lin_rir_000596
0.3262
-5.61
6.43
2.279131
0.915181
0.818904
4.677171
1.404724
0.773473
0.603828
-12.1123
p232_023
lin_rir_000626
0.1362
-5.84
21.2
3.030607
0.944166
0.87653
5.544677
2.106485
0.87591
0.77014
-14.996445
p232_023
lin_rir_000374
0.4788
-8.65
5.63
2.14684
0.916095
0.814107
2.845548
1.191324
0.785234
0.578124
-13.560502
p232_023
lin_rir_000541
0.6577
-3.31
9.87
2.531645
0.945877
0.863443
5.469725
1.464674
0.859641
0.677585
-9.622025
p232_023
lin_rir_000150
1.0191
-0.47
3.68
1.924837
0.893952
0.752796
4.873935
1.231207
0.67921
0.432139
-5.088621
End of preview.