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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 11 new columns ({' "Min_10.0% Prob": 16.68273464838664', ' "Min_5.0% Prob": 36.97676086425781', ' "label": 1}', ' "Min_30.0% Prob": 7.888684855567084', '{"pred": {"ppl": 10.127796173095703', ' "Min_50.0% Prob": 4.626448229653761', ' "Min_40.0% Prob": 6.132451554139455', ' "ppl/lowercase_ppl": -2.00471592909516', ' "ppl/zlib": 0.018823445041544887', ' "Min_20.0% Prob": 10.390435179074606', ' "Min_60.0% Prob": 3.8979165528067634}'}) and 8 missing columns ({'dataset_mi_f1', 'dataset_size', 'known_size', 'AUROC', 'sent_tpr_at_1_fpr', 'sent_level_auc', 'sent_best_f1', 'seed'}).
This happened while the csv dataset builder was generating data using
zip://results/FT/DCoT/questions/haritzpuerto/phi-2-dcot/mia_members.jsonl::hf://datasets/haritzpuerto/scaling_mia@1c4558e32544c247175dfdf9ebfd2d56863e7ced/results.zip
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1870, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 622, in write_table
pa_table = table_cast(pa_table, self._schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2292, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
{"pred": {"ppl": 10.127796173095703: string
"ppl/lowercase_ppl": -2.00471592909516: string
"ppl/zlib": 0.018823445041544887: string
"Min_5.0% Prob": 36.97676086425781: string
"Min_10.0% Prob": 16.68273464838664: string
"Min_20.0% Prob": 10.390435179074606: string
"Min_30.0% Prob": 7.888684855567084: string
"Min_40.0% Prob": 6.132451554139455: string
"Min_50.0% Prob": 4.626448229653761: string
"Min_60.0% Prob": 3.8979165528067634}: string
"label": 1}: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2156
to
{'known_size': Value(dtype='int64', id=None), 'dataset_size': Value(dtype='int64', id=None), 'seed': Value(dtype='int64', id=None), 'dataset_mi_f1': Value(dtype='float64', id=None), 'sent_best_f1': Value(dtype='float64', id=None), 'sent_tpr_at_1_fpr': Value(dtype='float64', id=None), 'sent_level_auc': Value(dtype='float64', id=None), 'AUROC': Value(dtype='float64', id=None)}
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 1412, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 988, in stream_convert_to_parquet
builder._prepare_split(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1741, in _prepare_split
for job_id, done, content in self._prepare_split_single(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1872, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
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 11 new columns ({' "Min_10.0% Prob": 16.68273464838664', ' "Min_5.0% Prob": 36.97676086425781', ' "label": 1}', ' "Min_30.0% Prob": 7.888684855567084', '{"pred": {"ppl": 10.127796173095703', ' "Min_50.0% Prob": 4.626448229653761', ' "Min_40.0% Prob": 6.132451554139455', ' "ppl/lowercase_ppl": -2.00471592909516', ' "ppl/zlib": 0.018823445041544887', ' "Min_20.0% Prob": 10.390435179074606', ' "Min_60.0% Prob": 3.8979165528067634}'}) and 8 missing columns ({'dataset_mi_f1', 'dataset_size', 'known_size', 'AUROC', 'sent_tpr_at_1_fpr', 'sent_level_auc', 'sent_best_f1', 'seed'}).
This happened while the csv dataset builder was generating data using
zip://results/FT/DCoT/questions/haritzpuerto/phi-2-dcot/mia_members.jsonl::hf://datasets/haritzpuerto/scaling_mia@1c4558e32544c247175dfdf9ebfd2d56863e7ced/results.zip
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
known_size
int64 | dataset_size
int64 | seed
int64 | dataset_mi_f1
float64 | sent_best_f1
float64 | sent_tpr_at_1_fpr
float64 | sent_level_auc
float64 | AUROC
float64 |
|---|---|---|---|---|---|---|---|
10
| 20
| 66,322
| 0.995
| 0.752249
| 0.030435
| 0.807462
| 0.97065
|
10
| 20
| 96,446
| 0.995
| 0.81362
| 0.027425
| 0.837776
| 0.99995
|
10
| 20
| 58,958
| 0.979998
| 0.80351
| 0.029766
| 0.816737
| 0.9981
|
10
| 20
| 97,851
| 0.995
| 0.803678
| 0.02709
| 0.818351
| 0.9996
|
10
| 20
| 29,547
| 0.959936
| 0.791086
| 0.03612
| 0.792961
| 0.9984
|
20
| 20
| 99,647
| 0.99
| 0.797984
| 0.038255
| 0.806992
| 0.99955
|
20
| 20
| 24,479
| 0.97
| 0.816766
| 0.041275
| 0.836741
| 0.99845
|
20
| 20
| 43,859
| 0.949875
| 0.783874
| 0.021812
| 0.778673
| 0.996
|
20
| 20
| 62,701
| 0.98
| 0.795505
| 0.030537
| 0.796449
| 0.9982
|
20
| 20
| 47,907
| 0.974994
| 0.76472
| 0.032215
| 0.753798
| 0.99565
|
30
| 20
| 13,092
| 0.969973
| 0.810094
| 0.03165
| 0.824205
| 0.99945
|
30
| 20
| 16,676
| 0.974994
| 0.817438
| 0.035017
| 0.841344
| 0.99915
|
30
| 20
| 29,951
| 0.995
| 0.818348
| 0.042088
| 0.835644
| 0.99985
|
30
| 20
| 24,179
| 0.959936
| 0.800654
| 0.03165
| 0.809652
| 0.97575
|
30
| 20
| 23,273
| 0.969973
| 0.785088
| 0.027946
| 0.785273
| 0.99585
|
40
| 20
| 28,670
| 0.985
| 0.809658
| 0.030068
| 0.842503
| 0.99815
|
40
| 20
| 25,473
| 0.979992
| 0.754274
| 0.030068
| 0.819757
| 0.9967
|
40
| 20
| 30,402
| 0.964978
| 0.812773
| 0.035473
| 0.82418
| 0.9977
|
40
| 20
| 78,712
| 0.979998
| 0.805706
| 0.031419
| 0.818445
| 0.99955
|
40
| 20
| 24,422
| 0.954945
| 0.788098
| 0.036486
| 0.791574
| 0.9969
|
50
| 20
| 52,414
| 0.985
| 0.773177
| 0.027119
| 0.833611
| 0.91825
|
50
| 20
| 92,574
| 0.984997
| 0.815536
| 0.027797
| 0.839589
| 0.9994
|
50
| 20
| 25,752
| 0.985
| 0.798796
| 0.030508
| 0.805122
| 0.9987
|
50
| 20
| 73,539
| 0.974994
| 0.763817
| 0.025424
| 0.753693
| 0.99865
|
50
| 20
| 33,010
| 0.974999
| 0.793484
| 0.028475
| 0.79389
| 0.99725
|
10
| 40
| 87,939
| 0.995
| 0.808499
| 0.022742
| 0.845974
| 1
|
10
| 40
| 10,675
| 0.995
| 0.764472
| 0.032107
| 0.832385
| 1
|
10
| 40
| 27,444
| 0.995
| 0.793001
| 0.039465
| 0.798283
| 1
|
10
| 40
| 49,019
| 0.974984
| 0.786526
| 0.035786
| 0.786206
| 1
|
10
| 40
| 57,461
| 0.919485
| 0.782368
| 0.034783
| 0.775764
| 1
|
20
| 40
| 16,612
| 0.995
| 0.789984
| 0.02953
| 0.845391
| 1
|
20
| 40
| 2,399
| 1
| 0.811095
| 0.031544
| 0.842436
| 1
|
20
| 40
| 29,344
| 1
| 0.809523
| 0.028859
| 0.827536
| 1
|
20
| 40
| 59,273
| 0.995
| 0.802012
| 0.032215
| 0.812699
| 0.9999
|
20
| 40
| 62,710
| 0.964957
| 0.773698
| 0.027181
| 0.758489
| 1
|
30
| 40
| 88,340
| 1
| 0.801666
| 0.028283
| 0.808883
| 1
|
30
| 40
| 19,618
| 0.995
| 0.773825
| 0.030976
| 0.771424
| 1
|
30
| 40
| 10,313
| 1
| 0.800987
| 0.030303
| 0.808115
| 1
|
30
| 40
| 2,064
| 1
| 0.752823
| 0.038721
| 0.790004
| 1
|
30
| 40
| 40,751
| 1
| 0.810863
| 0.030303
| 0.846818
| 1
|
40
| 40
| 95,711
| 1
| 0.820702
| 0.036486
| 0.840242
| 1
|
40
| 40
| 33,915
| 1
| 0.753159
| 0.037162
| 0.78513
| 1
|
40
| 40
| 5,077
| 1
| 0.817367
| 0.040203
| 0.840079
| 1
|
40
| 40
| 75,704
| 0.995
| 0.795608
| 0.030743
| 0.804652
| 1
|
40
| 40
| 35,588
| 0.995
| 0.780389
| 0.030068
| 0.774923
| 0.99985
|
50
| 40
| 70,875
| 1
| 0.801733
| 0.038305
| 0.85621
| 1
|
50
| 40
| 54,532
| 1
| 0.792031
| 0.030508
| 0.794552
| 1
|
50
| 40
| 5,319
| 0.995
| 0.750634
| 0.03322
| 0.819574
| 1
|
50
| 40
| 91,879
| 1
| 0.805755
| 0.101356
| 0.816894
| 1
|
50
| 40
| 58,052
| 1
| 0.784101
| 0.03322
| 0.78235
| 1
|
10
| 60
| 60,134
| 1
| 0.810152
| 0.033779
| 0.854978
| 0.96
|
10
| 60
| 49,165
| 0.969973
| 0.795616
| 0.035452
| 0.796365
| 1
|
10
| 60
| 22,461
| 1
| 0.783126
| 0.031104
| 0.782445
| 1
|
10
| 60
| 78,857
| 1
| 0.804347
| 0.032107
| 0.809548
| 1
|
10
| 60
| 87,913
| 1
| 0.806519
| 0.027425
| 0.825517
| 0.981
|
20
| 60
| 47,513
| 1
| 0.81506
| 0.034564
| 0.833852
| 0.9712
|
20
| 60
| 61,362
| 1
| 0.802349
| 0.034899
| 0.812256
| 1
|
20
| 60
| 85,445
| 1
| 0.799371
| 0.032886
| 0.803548
| 1
|
20
| 60
| 60,706
| 1
| 0.757977
| 0.036242
| 0.813848
| 1
|
20
| 60
| 11,396
| 1
| 0.809393
| 0.03255
| 0.822197
| 1
|
30
| 60
| 23,401
| 1
| 0.79982
| 0.035017
| 0.799914
| 1
|
30
| 60
| 4,772
| 1
| 0.812956
| 0.033333
| 0.822961
| 1
|
30
| 60
| 4,867
| 1
| 0.803198
| 0.041414
| 0.814716
| 1
|
30
| 60
| 81,881
| 1
| 0.790818
| 0.025926
| 0.790325
| 1
|
30
| 60
| 25,318
| 1
| 0.817886
| 0.02963
| 0.844273
| 1
|
40
| 60
| 48,239
| 1
| 0.784906
| 0.033446
| 0.778802
| 1
|
40
| 60
| 65,900
| 1
| 0.776218
| 0.026351
| 0.764059
| 1
|
40
| 60
| 65,816
| 1
| 0.804223
| 0.030743
| 0.813786
| 1
|
40
| 60
| 184
| 1
| 0.811314
| 0.038176
| 0.829086
| 1
|
40
| 60
| 75,839
| 0.995
| 0.767403
| 0.026351
| 0.754912
| 1
|
50
| 60
| 54,603
| 1
| 0.788372
| 0.031186
| 0.788756
| 1
|
50
| 60
| 31,618
| 1
| 0.803967
| 0.025085
| 0.822095
| 1
|
50
| 60
| 62,834
| 1
| 0.786598
| 0.030169
| 0.788657
| 1
|
50
| 60
| 83,626
| 1
| 0.786523
| 0.027797
| 0.789498
| 1
|
50
| 60
| 563
| 1
| 0.817244
| 0.031525
| 0.847666
| 0.9801
|
10
| 80
| 89,588
| 1
| 0.778494
| 0.027759
| 0.770185
| 1
|
10
| 80
| 37,995
| 1
| 0.809196
| 0.031104
| 0.827734
| 1
|
10
| 80
| 60,258
| 1
| 0.773997
| 0.03913
| 0.773198
| 1
|
10
| 80
| 77,163
| 1
| 0.78894
| 0.038127
| 0.783325
| 1
|
10
| 80
| 94,311
| 0.995
| 0.770236
| 0.037124
| 0.762043
| 1
|
20
| 80
| 54,703
| 1
| 0.802173
| 0.029195
| 0.810182
| 1
|
20
| 80
| 5,573
| 1
| 0.759125
| 0.030872
| 0.779863
| 1
|
20
| 80
| 76,334
| 1
| 0.806561
| 0.027181
| 0.823249
| 1
|
20
| 80
| 15,873
| 1
| 0.806856
| 0.032215
| 0.817997
| 1
|
20
| 80
| 18,700
| 1
| 0.81739
| 0.037584
| 0.844633
| 1
|
30
| 80
| 73,841
| 1
| 0.800673
| 0.03771
| 0.809167
| 1
|
30
| 80
| 81,895
| 1
| 0.805854
| 0.020539
| 0.81862
| 1
|
30
| 80
| 5,766
| 1
| 0.802837
| 0.027946
| 0.806238
| 1
|
30
| 80
| 66,138
| 1
| 0.8107
| 0.029966
| 0.829206
| 1
|
30
| 80
| 36,905
| 1
| 0.804713
| 0.043434
| 0.813946
| 1
|
40
| 80
| 87,119
| 1
| 0.816752
| 0.023986
| 0.835714
| 1
|
40
| 80
| 50,467
| 1
| 0.81072
| 0.016892
| 0.825768
| 1
|
40
| 80
| 87,650
| 1
| 0.802487
| 0.028716
| 0.813816
| 1
|
40
| 80
| 45,752
| 1
| 0.816395
| 0.039527
| 0.841915
| 1
|
40
| 80
| 733
| 1
| 0.796777
| 0.033784
| 0.799523
| 1
|
50
| 80
| 98,995
| 1
| 0.796208
| 0.03322
| 0.79917
| 1
|
50
| 80
| 97,127
| 1
| 0.81558
| 0.024068
| 0.833713
| 0.92
|
50
| 80
| 98,154
| 1
| 0.783216
| 0.037288
| 0.8368
| 1
|
50
| 80
| 74,887
| 1
| 0.779889
| 0.032203
| 0.777423
| 1
|
50
| 80
| 95,264
| 1
| 0.815719
| 0.036949
| 0.831328
| 1
|
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