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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 286 new columns ({'-0.93657191', '1.5188524', '0.679707', '1.040239', '0.48259033', '-0.28669973', '1.0373778', '-0.29296669', '0.20729773', '1.5481869', '1.5866569', '-0.50500747', '0.4748466', '0.90521381', '-1.044503', '-1.9287208', '-1.0993351', '1.6630346', '-0.96252576', '0.23820768', '0.63591783', '-1.9005997', '-1.9349635', '0.56722941', '-0.9824055', '-1.9127192', '-0.31928105', '0.40443785', '1.467514', '0.53359792', '0.72102534', '-1.3471144', '-0.18784982', '0.7238296', '-1.8566563', '0.70871026', '0.42883427', '1.032877', '-1.9223129', '0.67863259', '0.86140673', '0.18274348', '0.22305982', '0.79018805', '0.21281292', '0.43961046', '-1.0467321', '0.88325623', '0.96435243', '-1.0962133', '1.3500752', '1.0357806', '-1.1038269', '0.64741013', '0.60318089', '0.51244061', '-1.8432856', '0.6747341', '0.20308579', '-0.97031893', '0.20487522', '0.26204866', '-0.24965229', '-1.0545229', '0.24948685', '0.44636312', '0.4867503', '-1.8752712', '0.89669581', '-1.0480611', '1.1143873', '-0.96371982', '-0.92078716', '-0.090999931', '0.26453012', '0.61629687', '0.96001308', '-1.100227', '-1.0827159', '-0.53778323', '0.40506666', '-0.24774734', '-0.48588363', '-0.6280451', '0.64071562', '0.55452482', '-0.56018294', '-0.72343976', '-1.8968985', '0.68449957', '0.76582523', '-0.085618493', '0.6628724', '-1.0498854', '-0.63629941', '0.66037969', '-1.0187557', '0.75064171', '0.51045674', '0.31869552', '-0.9874616', '0.7996705', '0.21164516', '1.4946701', '-0.34077004', '-0.35495236', '-1.9181929', '0.
...
', '0.78296885', '-1.9360067', '-0.92379648', '0.21593633', '-1.8665025', '-0.93442926', '0.23049152', '0.44976719', '-1.148036', '0.55487916', '-0.63424598', '0.78617673', '-1.9099115', '0.9066245', '0.38322175', '0.54020464', '-0.51841899', '-0.85976467', '0.42765431', '0.60648544', '0.94613043', '-0.35730736', '0.70823327', '0.69066321', '0.50227737', '1.7010214', '-0.60725068', '0.44332037', '0.1009692', '-1.4815614', '-1.9336308', '-0.75322902', '0.33899868', '-1.0877935', '1.0432058', '0.20111206', '-0.034165135', '-0.15944208', '-0.14036721', '1.408008', '-0.95934101', '-1.0592421', '-0.77932422', '-0.77266759', '0.6353288', '1.2284163', '1.2580638', '0.63521042', '-1.887185', '-1.9201246', '-0.015332082', '1.3545781', '1.6637242', '-0.038413047', '0.63336569', '-1.0641912', '-0.66424331', '0.73807388', '0.082658143', '1.0324659', '-1.0927827', '-0.92237217', '-0.97659952', '1.0251688', '1.0612876', '-0.98199237', '0.84631813', '-0.99421712', '-0.60469363', '0.63678196', '-0.09316192', '0.9080989', '-1.7516247', '0.87434538', '0.9026986', '1.1753579', '-0.82722915', '1.7720688', '-1.0643986', '0.71367778', '0.25620973', '0.9823372', '0.64908008', '0.32463397', '1.6391971', '0.56159823', '0.84303862', '1.0301155', '-1.0850813', '0.037040077', '-1.084125', '-0.4612259', '0.31383021', '-1.8920667', '-0.90835007', '1.533485', '-1.9323014', '-0.45842687', '1.0739758', '-0.86616903', '0.71932402', '1.0245697', '1.398263', '0.7592426', '0.36126765', '1.5245938', '-1.8241779'}) and 286 missing columns ({'-2.0111571', '-0.46343787', '-0.29491244', '-0.94754631', '-0.97491265', '0.48667162', '0.8458514', '-0.80091704', '0.40196072', '-1.9418831', '0.69327155', '-0.32695258', '0.041536449', '-0.66026361', '0.025244986', '0.35786742', '0.83188815', '0.61214064', '0.42394852', '-0.37412205', '-2.0103857', '-0.94660448', '-0.8557467', '-0.23032122', '1.4667772', '0.54877669', '-0.98225027', '1.1968163', '0.49493369', '0.68073781', '-0.026497717', '0.32026563', '0.013671649', '-1.1930967', '-0.82119474', '0.91175299', '0.75600485', '0.71292988', '-0.59004311', '1.0152151', '0.83693652', '0.14153343', '0.63251105', '-1.644867', '0.38398499', '0.59439223', '1.1572232', '-0.12686992', '0.67070879', '-0.39837753', '0.57844005', '0.69969426', '-1.9919911', '0.98140203', '0.67875967', '1.1296121', '1.644053', '-0.9825189', '0.54140253', '0.42047146', '0.8312019', '0.29323908', '0.36652621', '1.0589554', '0.81286289', '0.38288581', '-0.95839386', '0.77886734', '1.0469249', '0.75717585', '0.48398983', '0.0041787121', '0.48545638', '1.2951918', '0.75299866', '0.84038599', '-0.23634186', '0.68730592', '-1.982086', '-0.0065994362', '1.6465768', '0.30438343', '0.51492895', '1.4715395', '0.29386204', '-1.722318', '0.75817086', '0.41468834', '-0.96290781', '-1.0288549', '-0.16225478', '1.4387204', '-0.84054255', '-0.96893924', '0.015484673', '-1.3252511', '-1.8413189', '0.88615771', '-2.0039295', '0.84299002', '-0.0077584003', '0.46289722', '-0.66972837', '0.31917355', '-0.95264845', '0.7129095
...
'1.5907676', '1.6034073', '0.43482357', '-0.84164884', '-1.9755993', '0.66441408', '-1.0034398', '0.45110299', '0.42455225', '0.88034709', '-1.927379', '-1.8742936', '0.86442191', '-0.94073583', '-0.52338044', '0.26537612', '1.3013255', '1.1835017', '0.368931', '-1.9667986', '-0.37573877', '1.6190603', '-1.3050147', '0.53084636', '-0.57437159', '-0.15143115', '-0.44876379', '0.62770204', '1.4790752', '0.9447588', '-1.9848588', '-2.0059191', '-0.26288307', '0.30926601', '-1.1115768', '0.92862302', '-0.99099643', '1.8007016', '0.45548777', '1.1422392', '0.86484555', '-0.23757632', '-1.2402087', '0.41585993', '0.32410045', '0.36610257', '-0.23237001', '1.499077', '0.93658109', '-1.9963699', '-1.0318264', '-0.84109419', '-0.99606863', '-0.73918779', '-0.53080418', '0.64871029', '0.046597867', '0.12539705', '1.1049683', '-1.4023653', '-1.9578347', '-1.9703828', '0.50884427', '-0.92715433', '-0.11330824', '-1.3215108', '0.18556394', '0.55791714', '0.32245439', '0.35810612', '0.53470993', '-2.0006207', '0.59016363', '1.2544565', '-0.82459755', '-1.8953168', '-1.7909314', '1.0556297', '1.2685812', '0.83549145', '-0.9758126', '-1.9351044', '-0.94098649', '-0.97311994', '0.39769985', '1.1148836', '0.87583012', '-0.87463199', '-1.9625396', '-0.29110688', '0.68590876', '-0.038151902', '0.81692512', '1.4129522', '0.13997716', '0.21599448', '0.77260256', '-0.93857634', '0.90125602', '0.82160186', '1.1054631', '1.0664833', '-1.2807957', '0.73012363', '0.57922755', '-1.3510701', '1.0041437'}).
This happened while the csv dataset builder was generating data using
hf://datasets/Abd-Dada/coffee/Coffee_TRAIN.csv (at revision eb8ff375038236458efe76bd48a71ebf70b7b604)
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 2011, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, 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 2302, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
-0.51841899: double
-0.48588363: double
-0.50500747: double
-0.56018294: double
-0.63629941: double
-0.75322902: double
-0.82722915: double
-0.85976467: double
-0.90632072: double
-0.92379648: double
-0.93321222: double
-0.93442926: double
-0.92078716: double
-0.93657191: double
-0.95599685: double
-0.95934101: double
-0.96940599: double
-0.9824055: double
-0.97659952: double
-0.96252576: double
-0.97031893: double
-0.98199237: double
-0.9874616: double
-1.0152202: double
-1.0480611: double
-1.0592421: double
-1.0498854: double
-1.0467321: double
-1.0643986: double
-1.0877935: double
-1.0993351: double
-1.0850813: double
-1.0641912: double
-1.0545229: double
-1.044503: double
-1.0236367: double
-0.99421712: double
-0.96371982: double
-0.92237217: double
-0.86616903: double
-0.81351574: double
-0.77266759: double
-0.72343976: double
-0.66424331: double
-0.63424598: double
-0.6280451: double
-0.60469363: double
-0.56829781: double
-0.53778323: double
-0.50569966: double
-0.4612259: double
-0.38892741: double
-0.29296669: double
-0.20056328: double
-0.090999931: double
0.0084190471: double
0.082658143: double
0.22029375: double
0.34217234: double
0.42883427: double
0.55487916: double
0.54987503: double
0.51045674: double
0.60485004: double
0.6628724: double
0.64908008: double
0.70823327: double
0.79018805: double
0.86140673: double
0.9066245: double
0.99179382: double
1.0739758: double
1.0479147: double
1.0612876: double
1.0357806: double
0.96001308: double
0.89669581: double
0.
...
le
1.5057579: double
1.408008: double
1.4124569: double
1.467514: double
1.5188524: double
1.533485: double
1.469025: double
1.6630346: double
1.6795213: double
1.5245938: double
1.3500752: double
1.1753579: double
1.0088755: double
0.9080989: double
0.90521381: double
0.94613043: double
0.96435243: double
1.0245697: double
1.2284163: double
1.3153384: double
1.3734245: double
1.3545781: double
1.0694367: double
0.75064171: double
0.4867503: double
0.23820768: double
-0.015332082: double
-0.24774734: double
-0.45842687: double
-0.60725068: double
-0.77932422: double
-0.90835007: double
-1.0187557: double
-1.084125: double
-1.1038269: double
-1.100227: double
-1.0962133: double
-1.0927827: double
-1.0827159: double
-1.0938413: double
-1.148036: double
-1.2375491: double
-1.3471144: double
-1.4815614: double
-1.5935833: double
-1.6870365: double
-1.7516247: double
-1.7943041: double
-1.8241779: double
-1.8432856: double
-1.8566563: double
-1.8665025: double
-1.8752712: double
-1.8818505: double
-1.887185: double
-1.8920667: double
-1.8968985: double
-1.9005997: double
-1.9043497: double
-1.9077444: double
-1.9099115: double
-1.9127192: double
-1.9163279: double
-1.9181929: double
-1.9201246: double
-1.9223129: double
-1.9242122: double
-1.9269965: double
-1.9287208: double
-1.9300262: double
-1.9323014: double
-1.9336308: double
-1.9349635: double
-1.9360067: double
0: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 34953
to
{'-0.57437159': Value(dtype='float64', id=None), '-0.52338044': Value(dtype='float64', id=None), '-0.44876379': Value(dtype='float64', id=None), '-0.46651461': Value(dtype='float64', id=None), '-0.59004311': Value(dtype='float64', id=None), '-0.73918779': Value(dtype='float64', id=None), '-0.80091704': Value(dtype='float64', id=None), '-0.81514776': Value(dtype='float64', id=None), '-0.84054255': Value(dtype='float64', id=None), '-0.8663083': Value(dtype='float64', id=None), '-0.87463199': Value(dtype='float64', id=None), '-0.84164884': Value(dtype='float64', id=None), '-0.82459755': Value(dtype='float64', id=None), '-0.82119474': Value(dtype='float64', id=None), '-0.87320791': Value(dtype='float64', id=None), '-0.95264845': Value(dtype='float64', id=None), '-0.99157859': Value(dtype='float64', id=None), '-0.99606863': Value(dtype='float64', id=None), '-0.97311994': Value(dtype='float64', id=None), '-0.96290781': Value(dtype='float64', id=None), '-0.9758126': Value(dtype='float64', id=None), '-0.99099643': Value(dtype='float64', id=None), '-1.0034398': Value(dtype='float64', id=None), '-1.0318264': Value(dtype='float64', id=None), '-1.0288549': Value(dtype='float64', id=None), '-1.0003457': Value(dtype='float64', id=None), '-0.96893924': Value(dtype='float64', id=None), '-0.93857634': Value(dtype='float64', id=None), '-0.94098649': Value(dtype='float64', id=None), '-0.94073583': Value(dtype='float64', id=None), '-0.95839386': Value(dtype='float64', id=None), '-0.98225027': Va
...
, id=None), '-1.644867': Value(dtype='float64', id=None), '-1.722318': Value(dtype='float64', id=None), '-1.7909314': Value(dtype='float64', id=None), '-1.8413189': Value(dtype='float64', id=None), '-1.8742936': Value(dtype='float64', id=None), '-1.8953168': Value(dtype='float64', id=None), '-1.9127487': Value(dtype='float64', id=None), '-1.927379': Value(dtype='float64', id=None), '-1.9351044': Value(dtype='float64', id=None), '-1.9418831': Value(dtype='float64', id=None), '-1.9488863': Value(dtype='float64', id=None), '-1.9547071': Value(dtype='float64', id=None), '-1.9578347': Value(dtype='float64', id=None), '-1.9625396': Value(dtype='float64', id=None), '-1.9667986': Value(dtype='float64', id=None), '-1.9673192': Value(dtype='float64', id=None), '-1.9703828': Value(dtype='float64', id=None), '-1.9755993': Value(dtype='float64', id=None), '-1.9798272': Value(dtype='float64', id=None), '-1.982086': Value(dtype='float64', id=None), '-1.9848588': Value(dtype='float64', id=None), '-1.9896462': Value(dtype='float64', id=None), '-1.9919911': Value(dtype='float64', id=None), '-1.9937258': Value(dtype='float64', id=None), '-1.9963699': Value(dtype='float64', id=None), '-2.0006207': Value(dtype='float64', id=None), '-2.0039295': Value(dtype='float64', id=None), '-2.0059191': Value(dtype='float64', id=None), '-2.0081958': Value(dtype='float64', id=None), '-2.0103857': Value(dtype='float64', id=None), '-2.0111571': Value(dtype='float64', id=None), '0': 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 1321, 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 935, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, 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 1882, 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 2013, 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 286 new columns ({'-0.93657191', '1.5188524', '0.679707', '1.040239', '0.48259033', '-0.28669973', '1.0373778', '-0.29296669', '0.20729773', '1.5481869', '1.5866569', '-0.50500747', '0.4748466', '0.90521381', '-1.044503', '-1.9287208', '-1.0993351', '1.6630346', '-0.96252576', '0.23820768', '0.63591783', '-1.9005997', '-1.9349635', '0.56722941', '-0.9824055', '-1.9127192', '-0.31928105', '0.40443785', '1.467514', '0.53359792', '0.72102534', '-1.3471144', '-0.18784982', '0.7238296', '-1.8566563', '0.70871026', '0.42883427', '1.032877', '-1.9223129', '0.67863259', '0.86140673', '0.18274348', '0.22305982', '0.79018805', '0.21281292', '0.43961046', '-1.0467321', '0.88325623', '0.96435243', '-1.0962133', '1.3500752', '1.0357806', '-1.1038269', '0.64741013', '0.60318089', '0.51244061', '-1.8432856', '0.6747341', '0.20308579', '-0.97031893', '0.20487522', '0.26204866', '-0.24965229', '-1.0545229', '0.24948685', '0.44636312', '0.4867503', '-1.8752712', '0.89669581', '-1.0480611', '1.1143873', '-0.96371982', '-0.92078716', '-0.090999931', '0.26453012', '0.61629687', '0.96001308', '-1.100227', '-1.0827159', '-0.53778323', '0.40506666', '-0.24774734', '-0.48588363', '-0.6280451', '0.64071562', '0.55452482', '-0.56018294', '-0.72343976', '-1.8968985', '0.68449957', '0.76582523', '-0.085618493', '0.6628724', '-1.0498854', '-0.63629941', '0.66037969', '-1.0187557', '0.75064171', '0.51045674', '0.31869552', '-0.9874616', '0.7996705', '0.21164516', '1.4946701', '-0.34077004', '-0.35495236', '-1.9181929', '0.
...
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...
'1.5907676', '1.6034073', '0.43482357', '-0.84164884', '-1.9755993', '0.66441408', '-1.0034398', '0.45110299', '0.42455225', '0.88034709', '-1.927379', '-1.8742936', '0.86442191', '-0.94073583', '-0.52338044', '0.26537612', '1.3013255', '1.1835017', '0.368931', '-1.9667986', '-0.37573877', '1.6190603', '-1.3050147', '0.53084636', '-0.57437159', '-0.15143115', '-0.44876379', '0.62770204', '1.4790752', '0.9447588', '-1.9848588', '-2.0059191', '-0.26288307', '0.30926601', '-1.1115768', '0.92862302', '-0.99099643', '1.8007016', '0.45548777', '1.1422392', '0.86484555', '-0.23757632', '-1.2402087', '0.41585993', '0.32410045', '0.36610257', '-0.23237001', '1.499077', '0.93658109', '-1.9963699', '-1.0318264', '-0.84109419', '-0.99606863', '-0.73918779', '-0.53080418', '0.64871029', '0.046597867', '0.12539705', '1.1049683', '-1.4023653', '-1.9578347', '-1.9703828', '0.50884427', '-0.92715433', '-0.11330824', '-1.3215108', '0.18556394', '0.55791714', '0.32245439', '0.35810612', '0.53470993', '-2.0006207', '0.59016363', '1.2544565', '-0.82459755', '-1.8953168', '-1.7909314', '1.0556297', '1.2685812', '0.83549145', '-0.9758126', '-1.9351044', '-0.94098649', '-0.97311994', '0.39769985', '1.1148836', '0.87583012', '-0.87463199', '-1.9625396', '-0.29110688', '0.68590876', '-0.038151902', '0.81692512', '1.4129522', '0.13997716', '0.21599448', '0.77260256', '-0.93857634', '0.90125602', '0.82160186', '1.1054631', '1.0664833', '-1.2807957', '0.73012363', '0.57922755', '-1.3510701', '1.0041437'}).
This happened while the csv dataset builder was generating data using
hf://datasets/Abd-Dada/coffee/Coffee_TRAIN.csv (at revision eb8ff375038236458efe76bd48a71ebf70b7b604)
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.
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float64 | 0.57922755 float64 | 0.55791714 float64 | 0.48398983 float64 | 0.5361968 float64 | 0.55923287 float64 | 0.54140253 float64 | 0.55986719 float64 | 0.45548777 float64 | 0.42394852 float64 | 0.43482357 float64 | 0.38288581 float64 | 0.35786742 float64 | 0.32245439 float64 | 0.32855337 float64 | 0.30438343 float64 | 0.24037211 float64 | 0.26537612 float64 | 0.368931 float64 | 0.46289722 float64 | 0.48231676 float64 | 0.51492895 float64 | 0.52469704 float64 | 0.54877669 float64 | 0.59439223 float64 | 0.64871029 float64 | 0.68087067 float64 | 0.73012363 float64 | 0.87583012 float64 | 0.8458514 float64 | 0.83693652 float64 | 0.91175299 float64 | 0.88034709 float64 | 0.83188815 float64 | 0.77886734 float64 | 0.69327155 float64 | 0.64209303 float64 | 0.57543152 float64 | 0.48545638 float64 | 0.44085684 float64 | 0.45110299 float64 | 0.43630576 float64 | 0.38398499 float64 | 0.36610257 float64 | 0.39769985 float64 | 0.41468834 float64 | 0.36438352 float64 | 0.39034366 float64 | 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-2.0081958 float64 | -2.0103857 float64 | -2.0111571 float64 | 0 int64 |
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