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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 411 new columns ({'38', '287', '540', '274', '196', '416', '300', '161', '237', '250', '387', '211', '442', '119', '578', '457', '565', '484', '5', '115', '551', '277', '68', '11', '15', '139', '513', '192', '239', '459', '567', '107', '321', '419', '434', '144', '62', '174', '529', '121', '208', '233', '154', '552', '512', '393', '56', '508', '550', '516', '344', '172', '113', '365', '170', '471', '470', '495', '541', '79', '141', '157', '204', '285', '273', '352', '247', '327', '224', '34', '305', '226', '319', '83', '125', '443', '296', '339', '481', '67', '43', '142', '212', '4', '422', '524', '122', '310', '47', '531', '0', '126', '573', '57', '302', '147', '109', '72', '8', '572', '360', '363', '424', '249', '349', '158', '19', '65', '598', '528', '478', '454', '580', '384', '376', '390', '546', '13', '176', '93', '2', '3', '88', '284', '112', '182', '380', '215', '241', '568', '245', '37', '523', '325', '84', '21', '519', '418', '297', '60', '389', '291', '559', '414', '400', '66', '131', '194', '477', '488', '69', '411', '295', '74', '87', '474', '445', '497', '518', '94', '150', '502', '301', '123', '353', '191', '322', '320', '553', '29', '464', '26', '71', '472', '386', '465', '404', '357', '240', '28', '230', '130', '18', '450', '596', '391', '36', '25', '309', '276', '283', '588', '134', '585', '164', '235', '203', '492', '423', '446', '163', '20', '328', '200', '160', '187', '483', '441', '373', '265', '77', '432', '264', '290', '544', '332', '346', '189', '427', '216', '146', '267', '491', '576', '268', '162', '59', '6', '493', '42', '338', '209', '307', '558', '555', '137', '114', '120', '155', '129', '269', '100', '138', '534', '188', '548', '61', '99', '104', '271', '248', '530', '10', '82', '243', '383', '489', '51', '31', '80', '556', '563', '589', '430', '394', '270', '7', '369', '356', '467', '148', '451', '124', '165', '330', '266', '536', '323', '371', '92', '412', '180', '54', '52', '171', '372', '108', '570', '175', '86', '98', '469', '140', '232', '48', '584', '183', '261', '58', '366', '236', '456', '111', '179', '41', '571', '420', '374', '475', '177', '1', '510', '221', '435', '32', '314', '331', '195', '228', '166', '96', '167', '577', '336', '258', '506', '257', '377', '326', '574', '569', '359', '364', '102', '298', '479', '136', '275', '429', '368', '385', '101', '438', '229', '313', '40', '190', '408', '453', '201', '78', '210', '244', '564', '370', '511', '219', '340', '252', '89', '143', '466', '345', '220', '458', '153', '421', '14', '480', '105', '49', '186', '97', '308', '117', '12', '39', '496', '425', '342', '554', '395', '533', '218', '17', '500', '81', '306', '259', '460', '33', '547', '361', '378', '103', '27', '168', '278', '490', '337', '73', '199', '253', '217', '461', '46', '494', '354', '116', '409', '507'}) and 1 missing columns ({'text'}).
This happened while the json dataset builder was generating data using
hf://datasets/jiuntian/hicodet/ref.json (at revision d14b25d87ef191abd0110de90cbb08856dcf159f)
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
241: list<item: string>
child 0, item: string
577: list<item: string>
child 0, item: string
275: list<item: string>
child 0, item: string
588: list<item: string>
child 0, item: string
201: list<item: string>
child 0, item: string
432: list<item: string>
child 0, item: string
182: list<item: string>
child 0, item: string
89: list<item: string>
child 0, item: string
589: list<item: string>
child 0, item: string
544: list<item: string>
child 0, item: string
60: list<item: string>
child 0, item: string
56: list<item: string>
child 0, item: string
162: list<item: string>
child 0, item: string
264: list<item: string>
child 0, item: string
94: list<item: string>
child 0, item: string
248: list<item: string>
child 0, item: string
338: list<item: string>
child 0, item: string
48: list<item: string>
child 0, item: string
26: list<item: string>
child 0, item: string
39: list<item: string>
child 0, item: string
167: list<item: string>
child 0, item: string
141: list<item: string>
child 0, item: string
139: list<item: string>
child 0, item: string
385: list<item: string>
child 0, item: string
93: list<item: string>
child 0, item: string
212: list<item: string>
child 0, item: string
559: list<item: string>
child 0, item: string
459: list<item: string>
child 0, item: string
421: list<item: string>
child 0, item: string
73: list<item: string>
child 0, item: string
226: list<item: string>
child 0, item: string
502: list<item: strin
...
child 0, item: string
14: list<item: string>
child 0, item: string
121: list<item: string>
child 0, item: string
278: list<item: string>
child 0, item: string
144: list<item: string>
child 0, item: string
13: list<item: string>
child 0, item: string
469: list<item: string>
child 0, item: string
546: list<item: string>
child 0, item: string
511: list<item: string>
child 0, item: string
332: list<item: string>
child 0, item: string
429: list<item: string>
child 0, item: string
378: list<item: string>
child 0, item: string
8: list<item: string>
child 0, item: string
10: list<item: string>
child 0, item: string
27: list<item: string>
child 0, item: string
82: list<item: string>
child 0, item: string
79: list<item: string>
child 0, item: string
138: list<item: string>
child 0, item: string
171: list<item: string>
child 0, item: string
179: list<item: string>
child 0, item: string
188: list<item: string>
child 0, item: string
373: list<item: string>
child 0, item: string
418: list<item: string>
child 0, item: string
494: list<item: string>
child 0, item: string
427: list<item: string>
child 0, item: string
84: list<item: string>
child 0, item: string
239: list<item: string>
child 0, item: string
345: list<item: string>
child 0, item: string
389: list<item: string>
child 0, item: string
552: list<item: string>
child 0, item: string
555: list<item: string>
child 0, item: string
395: list<item: string>
child 0, item: string
to
{'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 411 new columns ({'38', '287', '540', '274', '196', '416', '300', '161', '237', '250', '387', '211', '442', '119', '578', '457', '565', '484', '5', '115', '551', '277', '68', '11', '15', '139', '513', '192', '239', '459', '567', '107', '321', '419', '434', '144', '62', '174', '529', '121', '208', '233', '154', '552', '512', '393', '56', '508', '550', '516', '344', '172', '113', '365', '170', '471', '470', '495', '541', '79', '141', '157', '204', '285', '273', '352', '247', '327', '224', '34', '305', '226', '319', '83', '125', '443', '296', '339', '481', '67', '43', '142', '212', '4', '422', '524', '122', '310', '47', '531', '0', '126', '573', '57', '302', '147', '109', '72', '8', '572', '360', '363', '424', '249', '349', '158', '19', '65', '598', '528', '478', '454', '580', '384', '376', '390', '546', '13', '176', '93', '2', '3', '88', '284', '112', '182', '380', '215', '241', '568', '245', '37', '523', '325', '84', '21', '519', '418', '297', '60', '389', '291', '559', '414', '400', '66', '131', '194', '477', '488', '69', '411', '295', '74', '87', '474', '445', '497', '518', '94', '150', '502', '301', '123', '353', '191', '322', '320', '553', '29', '464', '26', '71', '472', '386', '465', '404', '357', '240', '28', '230', '130', '18', '450', '596', '391', '36', '25', '309', '276', '283', '588', '134', '585', '164', '235', '203', '492', '423', '446', '163', '20', '328', '200', '160', '187', '483', '441', '373', '265', '77', '432', '264', '290', '544', '332', '346', '189', '427', '216', '146', '267', '491', '576', '268', '162', '59', '6', '493', '42', '338', '209', '307', '558', '555', '137', '114', '120', '155', '129', '269', '100', '138', '534', '188', '548', '61', '99', '104', '271', '248', '530', '10', '82', '243', '383', '489', '51', '31', '80', '556', '563', '589', '430', '394', '270', '7', '369', '356', '467', '148', '451', '124', '165', '330', '266', '536', '323', '371', '92', '412', '180', '54', '52', '171', '372', '108', '570', '175', '86', '98', '469', '140', '232', '48', '584', '183', '261', '58', '366', '236', '456', '111', '179', '41', '571', '420', '374', '475', '177', '1', '510', '221', '435', '32', '314', '331', '195', '228', '166', '96', '167', '577', '336', '258', '506', '257', '377', '326', '574', '569', '359', '364', '102', '298', '479', '136', '275', '429', '368', '385', '101', '438', '229', '313', '40', '190', '408', '453', '201', '78', '210', '244', '564', '370', '511', '219', '340', '252', '89', '143', '466', '345', '220', '458', '153', '421', '14', '480', '105', '49', '186', '97', '308', '117', '12', '39', '496', '425', '342', '554', '395', '533', '218', '17', '500', '81', '306', '259', '460', '33', '547', '361', '378', '103', '27', '168', '278', '490', '337', '73', '199', '253', '217', '461', '46', '494', '354', '116', '409', '507'}) and 1 missing columns ({'text'}).
This happened while the json dataset builder was generating data using
hf://datasets/jiuntian/hicodet/ref.json (at revision d14b25d87ef191abd0110de90cbb08856dcf159f)
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.
text string |
|---|
person |
bicycle |
car |
motorcycle |
airplane |
bus |
train |
truck |
boat |
traffic light |
fire hydrant |
stop sign |
parking meter |
bench |
bird |
cat |
dog |
horse |
sheep |
cow |
elephant |
bear |
zebra |
giraffe |
backpack |
umbrella |
handbag |
tie |
suitcase |
frisbee |
skis |
snowboard |
sports ball |
kite |
baseball bat |
baseball glove |
skateboard |
surfboard |
tennis racket |
bottle |
wine glass |
cup |
fork |
knife |
spoon |
bowl |
banana |
apple |
sandwich |
orange |
broccoli |
carrot |
hot dog |
pizza |
donut |
cake |
chair |
couch |
potted plant |
bed |
dining table |
toilet |
tv |
laptop |
mouse |
remote |
keyboard |
cell phone |
microwave |
oven |
toaster |
sink |
refrigerator |
book |
clock |
vase |
scissors |
teddy bear |
hair drier |
toothbrush |
null |
null |
adjust |
assemble |
block |
blow |
board |
break |
brush with |
buy |
carry |
catch |
chase |
check |
clean |
control |
cook |
cut |
cut with |
direct |
End of preview.