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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 4 new columns ({'split', 'confidential_field', 'question', 'answer'}) and 5 missing columns ({'identity number', 'private phone number', 'email password', 'credit card', 'car number'}).

This happened while the csv dataset builder was generating data using

hf://datasets/hirundo-io/unlearning-500-persons-multiple-details/confidential_qa.csv (at revision 5ae8c6991287f62d3b0b9c27276225625ddceac6)

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
              name: string
              confidential_field: string
              question: string
              answer: string
              split: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 845
              to
              {'name': Value(dtype='string', id=None), 'email password': Value(dtype='int64', id=None), 'identity number': Value(dtype='int64', id=None), 'credit card': Value(dtype='int64', id=None), 'car number': Value(dtype='int64', id=None), 'private phone number': Value(dtype='int64', 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 1417, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1049, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1000, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                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 4 new columns ({'split', 'confidential_field', 'question', 'answer'}) and 5 missing columns ({'identity number', 'private phone number', 'email password', 'credit card', 'car number'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/hirundo-io/unlearning-500-persons-multiple-details/confidential_qa.csv (at revision 5ae8c6991287f62d3b0b9c27276225625ddceac6)
              
              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.

name
string
email password
int64
identity number
int64
credit card
int64
car number
int64
private phone number
int64
Stanley Little
7,823,623,100
5,757,168,585
9,714,412,306
3,413,889,220
4,409,135,247
Heather Fuller
2,877,493,297
9,072,438,004
483,790,461
5,349,874,326
3,063,012,604
Adam Cunningham
9,623,710,315
8,746,187,703
9,958,304,775
9,031,944,893
7,386,188,423
Sarah Shelton
5,056,758,570
5,609,777,864
4,752,909,974
5,084,992,324
79,856,711
Steve Morris
9,498,765,330
8,379,361,487
649,252,455
8,052,244,843
9,563,780,581
Troy Yang
977,154,617
8,159,324,689
9,428,053,406
8,828,518,375
5,217,652,026
Leah Nguyen
6,447,040,565
116,014,063
2,432,447,288
8,723,137,180
8,234,172,373
Russell Fowler
3,972,897,427
1,124,375,308
8,168,567,119
4,281,931,412
7,074,325,267
Richard Burns
9,424,304,146
5,656,092,467
952,546,561
3,988,035,331
3,488,889,333
Robin Griffin
397,957,659
469,212,304
930,337,783
1,328,130,205
5,349,405,156
Deborah Pearson
7,425,328,531
7,505,396,051
9,829,485,501
7,097,803,838
6,216,705,081
Matthew Diaz
8,931,835,918
9,583,796,749
9,870,598,160
5,320,171,349
8,666,435,396
Brenda Pena
3,440,310,186
4,827,756,379
5,030,855,332
3,893,528,924
1,515,133,054
Sydney Ward
578,055,286
3,972,978,993
6,384,576,074
4,443,755,650
2,954,145,576
Angela Gray
8,847,966,184
6,844,703,154
2,379,433,723
4,266,375,695
1,136,333,560
Brandon Lane
8,040,020,890
4,640,989,439
4,039,024,061
1,760,874,113
9,699,186,388
Maria Jones
5,945,515,894
3,831,018,637
8,128,136,065
9,737,368,402
1,384,899,551
Daniel Silva
1,441,894,943
6,998,149,536
743,581,579
5,153,281,123
6,093,583,260
Dana Estrada
9,836,606,480
1,679,618,436
8,310,545,921
9,185,496,347
1,220,296,377
Allison Watson
5,007,270,110
2,797,334,662
4,237,343,946
6,916,038,799
128,625,470
Cheryl Cole
5,386,079,408
1,502,278,805
3,573,187,127
1,296,580,687
743,846,611
Ian Valdez
2,138,892,057
8,546,934,006
9,798,097,486
4,308,427,966
7,917,342,983
Katie Miranda
2,906,654,245
3,437,951,208
1,460,712,365
8,284,824,052
4,351,555,457
Olivia Schultz
2,501,242,715
1,830,048,176
9,510,579,488
5,402,822,247
5,689,503,405
Todd Harper
6,055,261,435
7,659,444,079
6,191,114,670
1,938,440,066
7,486,199,137
Eric Lawson
4,601,241,588
4,617,144,729
6,400,462,006
1,069,635,097
2,999,560,197
Victor Frederick
167,622,584
8,911,545,865
2,460,366,491
198,126,287
1,880,450,720
Emily Brown
4,417,438,058
3,585,201,473
3,179,876,836
4,401,591,276
9,427,847,437
Diana Stone
5,391,820,018
5,221,136,761
7,468,381,720
9,886,849,916
6,228,183,010
Jessica Bennett
4,288,960,378
468,056,106
6,617,792,138
8,470,764,922
7,276,914,770
Lydia Clark
8,255,030,303
620,846,136
1,220,899,969
962,269,011
6,747,385,295
Jonathan Wade
9,791,889,852
3,712,365,723
7,092,790,901
4,403,213,587
5,584,456,097
Vincent Gonzalez
7,522,968,321
9,278,588,119
8,747,929,707
1,464,252,870
4,655,131,805
Lucas Herrera
9,008,967,203
7,181,718,599
6,022,610,018
3,884,566,669
4,005,156,192
Kristin Anderson
8,763,437,585
1,007,146,628
1,369,986,406
3,782,305,672
6,181,922,692
Eugene Rice
7,057,473,951
6,419,576,867
9,873,064,670
1,599,007,952
5,539,679,657
Tabitha Newman
907,405,374
4,828,201,101
8,035,587,877
6,301,792,364
5,463,882,333
David Frederick
3,357,051,239
6,363,025,444
8,163,650,231
5,989,491,054
5,056,855,272
Alicia Sims
5,715,874,441
297,965,900
9,373,803,709
1,738,387,394
2,906,730,014
Sara Myers
9,267,250,862
4,017,173,502
8,337,451,531
8,564,955,862
5,854,342,245
Norman Walker
818,893,848
579,745,441
9,378,058,921
7,653,252,521
8,501,860,676
David Perkins
9,396,018,692
3,570,381,447
2,994,306,214
6,150,347,002
3,594,562,753
Anthony Ward
968,495,070
4,222,803,331
5,545,166,523
9,688,926,889
4,554,629,341
James Day
5,791,984,023
397,468,079
2,506,738,593
3,732,287,452
7,203,033,636
Natalie Nichols
3,725,603,990
7,818,275,174
4,265,441,436
84,920,715
6,626,849,160
Troy Willis
3,954,753,860
9,186,145,308
2,245,388,056
6,843,107,254
3,316,559,471
Rebecca Gilbert
8,355,963,369
5,692,189,646
9,210,484,235
9,317,007,074
9,793,626,266
Leslie Walters
9,881,892,174
2,239,051,825
9,569,525,132
4,044,059,739
3,009,156,515
Sebastian Wilson
6,212,491,314
8,371,107,268
6,880,777,293
9,394,390,480
7,422,106,494
Kelsey Carpenter
6,730,876,694
7,138,785,252
9,222,110,090
6,360,625,479
6,453,282,808
Martha Bradley
6,179,323,498
6,604,293,083
2,605,276,110
6,544,199,226
1,131,731,214
Rebecca Chavez
5,941,708,744
9,901,651,552
7,767,057,856
9,120,891,426
2,302,118,671
Alex Wallace
6,285,381,765
7,442,328,152
7,331,185,654
7,388,753,531
8,129,510,745
Shannon McDonald
8,588,708,235
9,810,335,078
7,304,841,253
7,315,254,720
4,321,310,378
Russell Black
1,982,526,880
1,025,173,686
1,159,285,734
1,479,849,108
7,861,106,520
Aaron Hawkins
4,039,686,481
5,188,444,513
6,233,345,733
1,528,575,412
4,865,184,384
Melanie Hughes
4,171,253,198
3,910,178,421
7,904,611,428
8,849,780,502
2,306,120,470
Gary Taylor
5,753,208,763
4,429,516,023
9,348,909,908
1,107,100,191
837,377,218
David Estrada
9,321,203,148
3,157,168,304
2,473,577,204
1,944,400,079
6,010,820,799
Jade Smith
965,374,817
7,713,688,192
5,116,335,733
7,311,518,725
127,947,492
Terrance Payne
7,283,264,917
5,498,492,548
6,677,253,491
1,630,945,835
1,189,307,783
Joan Fields
72,884,966
3,101,871,092
430,384,145
3,676,232,232
7,066,490,118
Michael Cooper
3,096,746,541
9,136,087,113
4,950,782,451
9,152,527,921
3,101,433,424
Tammy Santos
2,454,783,095
1,552,335,103
4,255,109,319
4,479,327,397
7,309,711,962
Stephanie Cortez
2,524,885,782
2,856,764,305
1,137,149,535
43,545,959
9,107,999,163
Jackson Little
1,625,052,231
6,636,910,816
7,014,086,989
5,871,712,118
2,368,458,599
Maria Smith
3,671,154,379
3,570,356,767
1,590,532,814
5,328,737,095
5,889,180,056
Fiona Bates
343,016,523
7,957,300,350
704,297,439
5,644,339,922
1,562,493,604
Sherry Barrett
1,288,309,792
993,863,997
8,149,950,021
6,186,078,422
9,630,762,189
Shaun Lee
3,313,936,338
2,563,909,552
5,382,395,906
8,184,133,060
7,695,531,912
Andrew Weber
7,257,252,651
9,891,862,649
402,381,773
688,655,686
6,977,927,577
Joyce Chavez
447,197,130
5,860,698,599
3,251,447,573
1,529,854,909
8,942,586,723
Trevor Santiago
2,302,365,461
144,688,514
2,932,851,679
6,438,707,459
2,313,569,797
Heidi Dean
1,363,033,673
6,324,710,354
828,472,973
4,323,399,966
8,101,195,827
Abigail Cox
3,599,762,373
3,555,123,696
721,292,515
5,178,603,910
9,066,363,320
Cody Rogers
5,141,873,054
3,778,365,601
2,535,606,799
9,501,288,813
140,206,785
Tiffany Nguyen
5,395,610,589
6,223,173,020
7,028,914,730
8,841,810,126
6,391,575,473
Christina Newman
3,564,036,711
1,732,431,121
9,857,307,980
4,487,315,566
6,028,321,929
Kimberly Knight
4,588,438,651
1,360,809,033
2,737,106,393
7,301,245,503
3,151,610,288
Samuel Stephens
250,895,059
4,882,198,139
6,574,539,455
5,957,329,399
2,906,875,774
Mary Gutierrez
1,854,947,586
7,340,109,920
4,612,168,917
9,049,051,325
9,702,252,252
Gina Joseph
1,880,594,279
9,483,429,403
2,874,950,164
5,377,554,287
6,105,758,279
Cecilia Hart
7,041,364,794
892,878,001
5,365,716,492
7,221,655,451
8,875,364,683
Samuel Sutton
6,300,811,373
2,181,469,611
2,044,084,579
5,699,926,415
6,404,559,801
Judy Kelly
6,332,082,134
2,969,180,996
4,878,901,735
3,334,935,485
9,054,743,617
Tara Boyd
9,425,152,559
6,911,988,697
5,366,329,334
5,985,789,080
4,589,581,260
Katherine Miller
5,437,655,808
9,830,685,080
6,733,041,641
4,470,705,806
4,098,627,162
Gregory Edwards
8,648,883,059
3,260,066,045
3,764,922,572
1,079,863,709
957,358,584
Michael Mills
4,189,426,495
1,320,196,329
8,603,872,158
3,846,415,309
9,471,369,019
Jacqueline Smith
8,658,375,210
6,118,601,693
1,929,465,678
7,629,525,844
2,236,269,409
Allison Weber
8,331,125,196
1,768,209,788
5,054,927,585
6,686,627,124
364,817,792
Joe Mendoza
9,517,258,070
5,494,720,868
6,780,344,540
4,717,688,001
3,542,156,791
Mary Watts
7,174,746,892
8,324,291,179
8,057,702,221
4,079,086,362
1,130,146,617
Liam May
1,687,461,217
6,243,348,986
9,669,382,444
7,163,820,989
6,939,878,107
Aiden Price
2,632,900,770
394,428,262
4,013,578,561
7,316,552,128
7,872,792,044
Robert Santos
3,165,498,698
1,780,963,977
9,404,410,126
2,575,067,972
7,963,968,258
Ashley Yang
9,699,152,413
1,288,964,568
6,581,564,658
2,500,358,522
7,453,915,043
Ian Duncan
3,290,503,045
7,714,306,212
1,162,730,269
4,199,143,715
42,058,367
Benjamin Dixon
2,310,223,575
9,865,972,001
5,644,506,650
7,271,891,563
3,607,691,335
Preston Clark
6,742,375,398
6,518,817,478
6,715,819,193
1,428,062,325
2,326,437,714
End of preview.