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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 2048 new columns ({'01525', '00970', '01517', '01138', '01970', '00431', '00923', '01227', '00757', '02037', '01102', '00561', '00513', '01911', '00559', '00036', '01585', '01939', '00852', '00978', '00295', '01775', '01701', '00069', '01163', '01279', '01075', '01729', '00521', '00310', '01351', '01824', '00124', '01098', '01812', '00828', '00383', '00862', '00831', '01228', '01293', '01705', '00692', '01637', '00125', '00713', '01748', '01641', '02019', '00527', '01636', '01472', '00597', '00842', '01899', '01034', '00600', '01359', '00037', '01660', '00684', '01409', '00807', '01320', '00051', '00394', '00690', '00856', '01463', '01662', '00258', '00316', '01703', '00667', '00501', '01143', '00373', '01679', '01827', '00717', '00680', '00990', '01272', '01100', '01742', '00280', '00108', '00259', '00303', '01468', '01763', '00962', '00169', '00646', '02032', '00957', '01861', '00484', '01889', '00965', '00557', '01078', '01987', '00460', '01309', '00440', '01948', '00252', '00496', '00253', '00462', '01810', '00864', '00575', '00166', '00190', '00070', '02036', '02002', '00236', '00348', '01368', '00080', '01065', '01316', '01651', '01271', '00405', '00364', '00193', '01209', '00283', '01201', '00323', '01391', '01635', '01408', '00773', '00442', '00011', '01161', '00975', '01031', '00956', '01510', '00755', '00133', '00945', '01247', '01727', '01627', '01040', '00371', '01069', '01039', '01174', '00804', '00767', '01166', '00156', '01784', '01542', '01794', '00094', '01834', '00430', '0019
...
1386', '01731', '01080', '01806', '01003', '00672', '01623', '01646', '00411', '00633', '01467', '02006', '00408', '01150', '01300', '01931', '01755', '01855', '00834', '00718', '00309', '00308', '00039', '00854', '00914', '00453', '01168', '02041', '00799', '00946', '01888', '01213', '00492', '01602', '01752', '01557', '01352', '01224', '00829', '01715', '00518', '00013', '00139', '00621', '00569', '00869', '01194', '02028', '00384', '01822', '00581', '01981', '00984', '01556', '01367', '00698', '01382', '00558', '00465', '01519', '01759', '01187', '00802', '00445', '01048', '00964', '00461', '00268', '01106', '00138', '01505', '00822', '01562', '01237', '00606', '01424', '00632', '01346', '01558', '01718', '00821', '01642', '00195', '00929', '00238', '01051', '00147', '00876', '00338', '00306', '01504', '01973', '00688', '00810', '00952', '02043', '00402', '01544', '00330', '00129', '01208', '00880', '00116', '00113', '00911', '01087', '01233', '00639', '01144', '00057', '01088', '00436', '00227', '01267', '01325', '01536', '01839', '00944', '00818', '00365', '00532', '00379', '00439', '01203', '00841', '00733', '00973', '00567', '01059', '01724', '00966', '01434', '01390', '01056', '01218', '01749', '01239', '01721', '01619', '00775', '00974', '01669', '00505', '00801', '00615', '00050', '01508', '00481', '00612', '01717', '01876', '01859', '00847', '00177', '00278', '00839', '00907', '00388', '01704', '00959', '01261', '01129', '00046', '01420', '01790', '01083', '01383'}) and 2 missing columns ({'id', 'text'}).
This happened while the json dataset builder was generating data using
hf://datasets/embedding-benchmark/WikiSQL_mteb/relevance.jsonl (at revision 83e4541dd540a8c30846105fd586792f8f9a5199)
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 1831, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 644, 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 2272, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
00000: struct<000000000: int64>
child 0, 000000000: int64
00001: struct<000000001: int64>
child 0, 000000001: int64
00002: struct<000000002: int64>
child 0, 000000002: int64
00003: struct<000000003: int64>
child 0, 000000003: int64
00004: struct<000000004: int64>
child 0, 000000004: int64
00005: struct<000000005: int64>
child 0, 000000005: int64
00006: struct<000000006: int64>
child 0, 000000006: int64
00007: struct<000000007: int64>
child 0, 000000007: int64
00008: struct<000000008: int64>
child 0, 000000008: int64
00009: struct<000000009: int64>
child 0, 000000009: int64
00010: struct<000000010: int64>
child 0, 000000010: int64
00011: struct<000000011: int64>
child 0, 000000011: int64
00012: struct<000000012: int64>
child 0, 000000012: int64
00013: struct<000000013: int64>
child 0, 000000013: int64
00014: struct<000000014: int64>
child 0, 000000014: int64
00015: struct<000000015: int64>
child 0, 000000015: int64
00016: struct<000000016: int64>
child 0, 000000016: int64
00017: struct<000000017: int64>
child 0, 000000017: int64
00018: struct<000000018: int64>
child 0, 000000018: int64
00019: struct<000000019: int64>
child 0, 000000019: int64
00020: struct<000000020: int64>
child 0, 000000020: int64
00021: struct<000000021: int64>
child 0, 000000021: int64
00022: struct<000000022: int64>
child 0, 000000022: int64
00023: struct<000000023: int64>
child 0, 000000023: int64
00024: struct<000000024: int64>
child 0, 000000024: int64
...
02023: struct<000002023: int64>
child 0, 000002023: int64
02024: struct<000002024: int64>
child 0, 000002024: int64
02025: struct<000002025: int64>
child 0, 000002025: int64
02026: struct<000002026: int64>
child 0, 000002026: int64
02027: struct<000002027: int64>
child 0, 000002027: int64
02028: struct<000002028: int64>
child 0, 000002028: int64
02029: struct<000002029: int64>
child 0, 000002029: int64
02030: struct<000002030: int64>
child 0, 000002030: int64
02031: struct<000002031: int64>
child 0, 000002031: int64
02032: struct<000002032: int64>
child 0, 000002032: int64
02033: struct<000002033: int64>
child 0, 000002033: int64
02034: struct<000002034: int64>
child 0, 000002034: int64
02035: struct<000002035: int64>
child 0, 000002035: int64
02036: struct<000002036: int64>
child 0, 000002036: int64
02037: struct<000002037: int64>
child 0, 000002037: int64
02038: struct<000002038: int64>
child 0, 000002038: int64
02039: struct<000002039: int64>
child 0, 000002039: int64
02040: struct<000002040: int64>
child 0, 000002040: int64
02041: struct<000002041: int64>
child 0, 000002041: int64
02042: struct<000002042: int64>
child 0, 000002042: int64
02043: struct<000002043: int64>
child 0, 000002043: int64
02044: struct<000002044: int64>
child 0, 000002044: int64
02045: struct<000002045: int64>
child 0, 000002045: int64
02046: struct<000002046: int64>
child 0, 000002046: int64
02047: struct<000002047: int64>
child 0, 000002047: int64
to
{'id': Value('string'), 'text': Value('string')}
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 1456, 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 1055, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 894, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 970, 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 1702, 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 1833, 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 2048 new columns ({'01525', '00970', '01517', '01138', '01970', '00431', '00923', '01227', '00757', '02037', '01102', '00561', '00513', '01911', '00559', '00036', '01585', '01939', '00852', '00978', '00295', '01775', '01701', '00069', '01163', '01279', '01075', '01729', '00521', '00310', '01351', '01824', '00124', '01098', '01812', '00828', '00383', '00862', '00831', '01228', '01293', '01705', '00692', '01637', '00125', '00713', '01748', '01641', '02019', '00527', '01636', '01472', '00597', '00842', '01899', '01034', '00600', '01359', '00037', '01660', '00684', '01409', '00807', '01320', '00051', '00394', '00690', '00856', '01463', '01662', '00258', '00316', '01703', '00667', '00501', '01143', '00373', '01679', '01827', '00717', '00680', '00990', '01272', '01100', '01742', '00280', '00108', '00259', '00303', '01468', '01763', '00962', '00169', '00646', '02032', '00957', '01861', '00484', '01889', '00965', '00557', '01078', '01987', '00460', '01309', '00440', '01948', '00252', '00496', '00253', '00462', '01810', '00864', '00575', '00166', '00190', '00070', '02036', '02002', '00236', '00348', '01368', '00080', '01065', '01316', '01651', '01271', '00405', '00364', '00193', '01209', '00283', '01201', '00323', '01391', '01635', '01408', '00773', '00442', '00011', '01161', '00975', '01031', '00956', '01510', '00755', '00133', '00945', '01247', '01727', '01627', '01040', '00371', '01069', '01039', '01174', '00804', '00767', '01166', '00156', '01784', '01542', '01794', '00094', '01834', '00430', '0019
...
1386', '01731', '01080', '01806', '01003', '00672', '01623', '01646', '00411', '00633', '01467', '02006', '00408', '01150', '01300', '01931', '01755', '01855', '00834', '00718', '00309', '00308', '00039', '00854', '00914', '00453', '01168', '02041', '00799', '00946', '01888', '01213', '00492', '01602', '01752', '01557', '01352', '01224', '00829', '01715', '00518', '00013', '00139', '00621', '00569', '00869', '01194', '02028', '00384', '01822', '00581', '01981', '00984', '01556', '01367', '00698', '01382', '00558', '00465', '01519', '01759', '01187', '00802', '00445', '01048', '00964', '00461', '00268', '01106', '00138', '01505', '00822', '01562', '01237', '00606', '01424', '00632', '01346', '01558', '01718', '00821', '01642', '00195', '00929', '00238', '01051', '00147', '00876', '00338', '00306', '01504', '01973', '00688', '00810', '00952', '02043', '00402', '01544', '00330', '00129', '01208', '00880', '00116', '00113', '00911', '01087', '01233', '00639', '01144', '00057', '01088', '00436', '00227', '01267', '01325', '01536', '01839', '00944', '00818', '00365', '00532', '00379', '00439', '01203', '00841', '00733', '00973', '00567', '01059', '01724', '00966', '01434', '01390', '01056', '01218', '01749', '01239', '01721', '01619', '00775', '00974', '01669', '00505', '00801', '00615', '00050', '01508', '00481', '00612', '01717', '01876', '01859', '00847', '00177', '00278', '00839', '00907', '00388', '01704', '00959', '01261', '01129', '00046', '01420', '01790', '01083', '01383'}) and 2 missing columns ({'id', 'text'}).
This happened while the json dataset builder was generating data using
hf://datasets/embedding-benchmark/WikiSQL_mteb/relevance.jsonl (at revision 83e4541dd540a8c30846105fd586792f8f9a5199)
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.
id
string | text
string |
|---|---|
000000000
|
SELECT Nationality FROM table WHERE Player = Terrence Ross
|
000000001
|
SELECT School/Club Team FROM table WHERE Years in Toronto = 1995-96
|
000000002
|
SELECT School/Club Team FROM table WHERE Years in Toronto = 2003-06
|
000000003
|
SELECT COUNT School/Club Team FROM table WHERE Player = Jalen Rose
|
000000004
|
SELECT Round FROM table WHERE Circuit = Assen
|
000000005
|
SELECT COUNT No FROM table WHERE Pole Position = Kevin Curtain
|
000000006
|
SELECT Date FROM table WHERE Circuit = Misano
|
000000007
|
SELECT COUNT Position FROM table WHERE College/junior/club team = Sherbrooke Faucons (QMJHL)
|
000000008
|
SELECT Nationality FROM table WHERE College/junior/club team = Thunder Bay Flyers (USHL)
|
000000009
|
SELECT COUNT College/junior/club team FROM table WHERE NHL team = Washington Capitals
|
000000010
|
SELECT COUNT Nationality FROM table WHERE NHL team = New Jersey Devils
|
000000011
|
SELECT Pick FROM table WHERE Player = Dorain Anneck
|
000000012
|
SELECT Nationality FROM table WHERE NHL team = Vancouver Canucks
|
000000013
|
SELECT Pick FROM table WHERE College/junior/club team = Springfield Olympics (NEJHL)
|
000000014
|
SELECT Commonwealth equivalent FROM table WHERE Rank in Spanish = Coronel
|
000000015
|
SELECT Rank in English FROM table WHERE Commonwealth equivalent = Group Captain
|
000000016
|
SELECT US Air Force equivalent FROM table WHERE Commonwealth equivalent = Pilot Officer
|
000000017
|
SELECT Commonwealth equivalent FROM table WHERE US Air Force equivalent = Major General
|
000000018
|
SELECT Rank in Spanish FROM table WHERE Rank in English = Major
|
000000019
|
SELECT Wrestler FROM table WHERE # of reigns = 2
|
000000020
|
SELECT MIN # of reigns FROM table
|
000000021
|
SELECT Rank Each wrestlers total number of days as champion are ranked highest to lowest; wrestlers with the same number mean that they are tied for that certain rank. FROM table WHERE Wrestler = Bryan Danielson
|
000000022
|
SELECT Combined days FROM table WHERE Wrestler = Go Shiozaki
|
000000023
|
SELECT MIN Rank Each wrestlers total number of days as champion are ranked highest to lowest; wrestlers with the same number mean that they are tied for that certain rank. FROM table WHERE Wrestler = Go Shiozaki
|
000000024
|
SELECT Province FROM table WHERE Electorate = Grey and Bell
|
000000025
|
SELECT Province FROM table WHERE Electorate = Bay of Islands
|
000000026
|
SELECT COUNT Total W–L FROM table WHERE Doubles W–L = 11–11
|
000000027
|
SELECT COUNT Singles W–L FROM table WHERE Doubles W–L = 11–14
|
000000028
|
SELECT Total W–L FROM table WHERE Player = Boro Jovanović Category:Articles with hCards
|
000000029
|
SELECT MAX Ties played FROM table WHERE Player = Josip Palada Category:Articles with hCards
|
000000030
|
SELECT COUNT Ties played FROM table WHERE Total W–L = 38–24
|
000000031
|
SELECT COUNT Frequency FROM table WHERE Market/Rank = Burlington - Plattsburgh , Vermont - New York /143
|
000000032
|
SELECT Branding FROM table WHERE Group owner = Qantam of Cape Cod, LLC
|
000000033
|
SELECT Branding FROM table WHERE Calls = WRKO
|
000000034
|
SELECT Format FROM table WHERE Branding = 1290 WKBK W281AU 104.1
|
000000035
|
SELECT Market/Rank FROM table WHERE Calls = WCRN
|
000000036
|
SELECT Frequency FROM table WHERE Calls = WEGP
|
000000037
|
SELECT BTs retail price (regulated) FROM table WHERE Tariff code = ff0 PRS
|
000000038
|
SELECT Approx premium FROM table WHERE Tariff code = g9
|
000000039
|
SELECT COUNT Tariff code FROM table WHERE BTs retail price (regulated) = 2p/min or inclusive
|
000000040
|
SELECT COUNT Tariff code FROM table WHERE BTs retail price (regulated) = 2.553p/min
|
000000041
|
SELECT Prefixes FROM table WHERE Scheme = Pence per minute, fixed at all times AND Approx premium = 3p/min
|
000000042
|
SELECT BTs retail price (regulated) FROM table WHERE Tariff code = g10
|
000000043
|
SELECT Tone (Latvian notation: /~/ - level, /^/ - broken) FROM table WHERE Translation = Gen.Sing. plague
|
000000044
|
SELECT MIN Radius (R ☉ ) FROM table
|
000000045
|
SELECT Spectral type FROM table WHERE Star (Pismis24-#) = 1SW
|
000000046
|
SELECT MIN Mass (M ☉ ) FROM table WHERE Radius (R ☉ ) = 10
|
000000047
|
SELECT Seat factor FROM table WHERE Year = 2006
|
000000048
|
SELECT Flying hours FROM table WHERE Aircraft kilometers > 64379058.0
|
000000049
|
SELECT MAX Aircraft kilometers FROM table WHERE Departures = 17096
|
000000050
|
SELECT Winning team FROM table WHERE Losing team = New York Yankees
|
000000051
|
SELECT Final score FROM table WHERE Date contested = February 1, 2009
|
000000052
|
SELECT Sport FROM table WHERE Final score = 3-2
|
000000053
|
SELECT Winning team FROM table WHERE Date contested = February 1, 2009
|
000000054
|
SELECT Losing team FROM table WHERE Date contested = February 1, 2004
|
000000055
|
SELECT MIN Total FROM table WHERE Crop (kilotonnes) = s Lupin
|
000000056
|
SELECT New South Wales FROM table WHERE Crop (kilotonnes) = Canola
|
000000057
|
SELECT COUNT South Australia FROM table WHERE Victoria = 2173
|
000000058
|
SELECT MIN Tasmania FROM table
|
000000059
|
SELECT COUNT Tasmania FROM table WHERE New South Wales = 190
|
000000060
|
SELECT COUNT Significant Relationship FROM table WHERE Virtues = Will
|
000000061
|
SELECT Examples FROM table WHERE Existential Question [ not in citation given ] = Can I Love?
|
000000062
|
SELECT COUNT Rank FROM table WHERE Points = 796.7
|
000000063
|
SELECT COUNT Group stage FROM table WHERE Points = 177.2
|
000000064
|
SELECT MIN Group stage FROM table WHERE Points = 886.6
|
000000065
|
SELECT COUNT Member Association FROM table WHERE Points = 177.2
|
000000066
|
SELECT City FROM table WHERE Capacity = 41903
|
000000067
|
SELECT MAX Capacity FROM table WHERE Stadium = Otkrytie Arena
|
000000068
|
SELECT MIN Opening FROM table WHERE Tenant = Bursaspor
|
000000069
|
SELECT COUNT Tenant FROM table WHERE City = Samsun
|
000000070
|
SELECT Original air date FROM table WHERE Title = "Hell"
|
000000071
|
SELECT Shivalik Zone FROM table WHERE Mid-Hill Zone = 10%
|
000000072
|
SELECT Mid-Hill Zone FROM table WHERE Particulars and Characteristics = Altitude
|
000000073
|
SELECT Trance- n Himalaya Zone FROM table WHERE Particulars and Characteristics = Climatic conditions
|
000000074
|
SELECT Trance- n Himalaya Zone FROM table WHERE High hill zone = 25%
|
000000075
|
SELECT State represented FROM table WHERE Name = Ted Stevens
|
000000076
|
SELECT MAX Standard FROM table WHERE First title = 1992
|
000000077
|
SELECT MIN Players FROM table
|
000000078
|
SELECT MAX Last title FROM table
|
000000079
|
SELECT Religious group FROM table WHERE Population % 2001 = 0.72%
|
000000080
|
SELECT Original air date FROM table WHERE No. in season = 15
|
000000081
|
SELECT COUNT No. in season FROM table WHERE Title = "Poppin' Tags"
|
000000082
|
SELECT Percent of Slovenes 1951 FROM table WHERE Village (German) = Bach
|
000000083
|
SELECT College FROM table WHERE CFL Team = Saskatchewan Roughriders
|
000000084
|
SELECT Position FROM table WHERE Player = Calvin McCarty
|
000000085
|
SELECT COUNT Position FROM table WHERE Pick # = 30
|
000000086
|
SELECT College FROM table WHERE Player = Calvin McCarty
|
000000087
|
SELECT College FROM table WHERE Position = LB
|
000000088
|
SELECT High assists FROM table WHERE Date = February 9
|
000000089
|
SELECT Name of lava dome FROM table WHERE Last eruption or growth episode = Holocene
|
000000090
|
SELECT Composition FROM table WHERE Name of lava dome = Valles lava dome
|
000000091
|
SELECT COUNT Country FROM table WHERE Name of lava dome = Tata Sabaya lava domes
|
000000092
|
SELECT Country FROM table WHERE Last eruption or growth episode = 1986
|
000000093
|
SELECT Lyricist FROM table WHERE Length = 3:05
|
000000094
|
SELECT Song FROM table WHERE Length = 3:05
|
000000095
|
SELECT Lyricist FROM table WHERE Length = 6:14
|
000000096
|
SELECT MAX Track # FROM table
|
000000097
|
SELECT Song FROM table WHERE Picturization = Vijay
|
000000098
|
SELECT Singers FROM table WHERE Lyricist = Alangudi Somu
|
000000099
|
SELECT Publisher FROM table WHERE Product No. = SCUS-97265
|
End of preview.
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