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feynman-integrals-nn
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heavycrossbox

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test

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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 100 new columns ({'-0.06200352302450422', '2.549763367843506', '0.6414417297857652', '-0.6229339955695664', '1.081440495922614', '-0.4569120828503069', '-1.534852157341052', '-5.33636120229846', '3.817412255349864', '-5.114535920496493', '-0.6819539608086862', '-0.1767904489945682', '1.361646437657536', '1.26065820070868', '-1.154431329803066', '1.827648331401228', '0.3749007185480176.1', '-0.6091058094240103', '4.30002470619277', '-0.554568262841729', '1.201673346471799', '0.9138241657006138', '-0.6999832157955909', '-0.1753176960240044', '-0.9633289024356912', '0.9823913788259336', '-9.984424226794841', '7.199490416515466', '-2.101118173759757', '2.184050746984224', '-1.787001272273715', '0.382384990640074', '21.76922548504316', '-0.4273669355007', '0.7163133015732858', '0.641441729785765', '4.189908719896118', '0.365118863529185', '1.98671833236619', '0.3207208648928826', '-0.2206063780699058', '0.04002649669421322', '0.3749007185480176', '-1.477035131075763', '-0.8479017740703317', '0.757159105892034', '0.334152509520083', '3.989310212131522', '-0.3409113829128006', '2.89677418276734', '-0.675453847182224', '0.886348247587126', '2.311289914463664', '-3.000888132357226', '2.21429641918285', '-10.08297442413451', '-1.123450970194932', '-0.2144081240716119', '-1.57635105823624', '1.', '0.1883185689638018', '-22.51989503218566', '-5.805996793190116', '0.02620058457495329', '-1.', '-2.653448820359462', '-1.206120312672362', '-2.643833921889635', '0.4502928405262999', '0.4502928405262999.1', '4.099739466169555', '-5.78195733162295', '3.008942009764134', '-1.133664680721852', '-0.2178987282639982', '12.19625671348058', '11.703519127962177', '18.54308663988449', '-4.508222770916891', '10.114004088856946', '-3.929565515303734', '-4.68145445394883', '3.88762835344687', '1.827648331401228.1', '-2.672475981108662', '-0.2372833997680448', '-2.956755380097939', '-0.4516984295233251', '-0.811658435925312', '-2.464894290054589', '-0.1302581658490344', '1.021224020256429', '-2.003364608295668', '4.22226549391969', '-5.836024742510955', '0.5804919842997169', '-0.1603604324464413', '13.14937821976045', '0.3636226034453771', '-2.429456991916587'}) and 100 missing columns ({'0.82', '0.116', '0.115', '-26.94607357321864', '0.128', '0.80', '0.147', '-6.981707856766745', '0.114', '0.95', '0.143', '0.137', '0.118', '-4.196750298957195', '0.140', '0.130', '-3.14632509006899', '0.142', '0.105', '-3.789138713636917', '-3.155382387721266', '3.208269879707033', '0.123', '0.135', '0.119', '0.87', '0.124', '0.108', '-3.639104064020318', '0.125', '-5.263059502039747', '0.110', '0.111', '0.92', '0.109', '0.136', '0.113', '0.84', '0.131', '0.94', '1.455801701236836', '4.864521777865256', '0.138', '-3.013220308916643', '1.177785343215987', '-4.726544517923336', '0.97', '0.90', '0.99', '0.106', '0.81', '0.145', '0.88', '0.134', '0.126', '2.395765934506475', '-3.981702661070185', '1.095856529339736', '4.238681457695436', '0.98', '0.139', '0.100', '0.127', '0.146', '0.112', '3.538418562545121', '0.122', '-3.141592653589793', '0.117', '0.133', '0.85', '0.102', '0.91', '-1.5364815567649', '0.93', '0.144', '0.104', '0.96328275010051', '0.141', '0.103', '0.96', '1.469941145252377', '1.526884521553891', '0.86', '0.83', '2.87086328563787', '-2.325107695290412', '0.129', '3.214195598815935', '0.132', '0.89', '1.292978237079014', '1.414636679761504', '0.101', '6.861397781792938', '1.0075743130004445', '0.121', '0.107', '0.120', '-2.163722732339651'}).

This happened while the csv dataset builder was generating data using

hf://datasets/feynman-integrals-nn/heavycrossbox/re/testing_output.csv (at revision 59de72abd641b344034f6f04d49db0737a195d37)

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
              1.: double
              -1.154431329803066: double
              2.311289914463664: double
              -2.956755380097939: double
              3.989310212131522: double
              -1.: double
              2.184050746984224: double
              2.549763367843506: double
              -5.836024742510955: double
              3.008942009764134: double
              0: int64
              1.081440495922614: double
              -0.4516984295233251: double
              7.199490416515466: double
              -5.805996793190116: double
              0.1: int64
              0.2: int64
              -3.929565515303734: double
              4.189908719896118: double
              -22.51989503218566: double
              0.3: int64
              0.4502928405262999: double
              -1.57635105823624: double
              4.22226549391969: double
              -10.08297442413451: double
              0.4: int64
              0.5: int64
              0.6414417297857652: double
              -1.477035131075763: double
              4.30002470619277: double
              0.6: int64
              0.3749007185480176: double
              -1.534852157341052: double
              4.099739466169555: double
              -9.984424226794841: double
              0.7: int64
              0.8: int64
              1.827648331401228: double
              -4.68145445394883: double
              13.14937821976045: double
              0.9: int64
              0.10: int64
              0.9823913788259336: double
              0.5804919842997169: double
              2.89677418276734: double
              0.11: int64
              0.12: int64
              -0.1603604324464413: double
              0.04002649669421322: double
              -0.3409113829128006: double
              0.13: int64
              0.14: int64
              -0.4569120828503069: double
              0.1883185689638018: double
              -0.9633289024356912: double
              0.15: int64
              0.16: int64
              0.17: int64
              -2.464894290054589: double
              11.703519127962177: double
              0.18: int64
              0.19: int64
              0.382384990640074: double
              -4.508222770916891: double
              12.19625671348058: double
              0.20: int64
              0.21: int64
              0.22: int64
              0.23: int64
              -2.429456991916587: double
              0.24: int64
              0.25: int64
              0.26
              ...
              0.40: int64
              0.41: int64
              0.3636226034453771: double
              -0.6819539608086862: double
              0.42: int64
              0.43: int64
              -0.2144081240716119: double
              -0.1753176960240044: double
              -0.6229339955695664: double
              0.44: int64
              0.45: int64
              0.3207208648928826: double
              -0.8479017740703317: double
              -0.675453847182224: double
              0.46: int64
              0.47: int64
              0.9138241657006138: double
              -2.672475981108662: double
              -1.787001272273715: double
              0.48: int64
              0.49: int64
              0.50: int64
              0.51: int64
              -2.653448820359462: double
              0.52: int64
              0.53: int64
              0.54: int64
              1.26065820070868: double
              -0.4273669355007: double
              0.55: int64
              0.56: int64
              -0.1302581658490344: double
              0.02620058457495329: double
              -0.2206063780699058: double
              0.57: int64
              0.58: int64
              0.59: int64
              -0.1767904489945682: double
              -0.06200352302450422: double
              0.60: int64
              0.61: int64
              0.365118863529185: double
              0.886348247587126: double
              1.361646437657536: double
              0.62: int64
              0.63: int64
              0.64: int64
              0.65: int64
              0.334152509520083: double
              0.66: int64
              0.67: int64
              0.68: int64
              0.69: int64
              3.88762835344687: double
              0.70: int64
              0.71: int64
              1.021224020256429: double
              -2.643833921889635: double
              -5.33636120229846: double
              0.72: int64
              0.73: int64
              0.74: int64
              0.7163133015732858: double
              0.757159105892034: double
              0.75: int64
              0.76: int64
              -1.206120312672362: double
              3.817412255349864: double
              10.114004088856946: double
              0.77: int64
              0.78: int64
              0.79: int64
              -0.6091058094240103: double
              -2.003364608295668: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 22238
              to
              {'0': Value(dtype='int64', id=None), '0.1': Value(dtype='int64', id=None), '0.2': Value(dtype='int64', id=None), '0.3': Value(dtype='int64', id=None), '0.4': Value(dtype='int64', id=None), '0.5': Value(dtype='int64', id=None), '-3.141592653589793': Value(dtype='float64', id=None), '6.861397781792938': Value(dtype='float64', id=None), '-2.325107695290412': Value(dtype='float64', id=None), '4.238681457695436': Value(dtype='float64', id=None), '0.6': Value(dtype='int64', id=None), '0.7': Value(dtype='int64', id=None), '0.8': Value(dtype='int64', id=None), '0.9': Value(dtype='int64', id=None), '0.10': Value(dtype='int64', id=None), '0.11': Value(dtype='int64', id=None), '0.12': Value(dtype='int64', id=None), '0.13': Value(dtype='int64', id=None), '0.14': Value(dtype='int64', id=None), '0.15': Value(dtype='int64', id=None), '0.16': Value(dtype='int64', id=None), '0.17': Value(dtype='int64', id=None), '0.18': Value(dtype='int64', id=None), '0.19': Value(dtype='int64', id=None), '0.20': Value(dtype='int64', id=None), '0.21': Value(dtype='int64', id=None), '0.22': Value(dtype='int64', id=None), '0.23': Value(dtype='int64', id=None), '0.24': Value(dtype='int64', id=None), '0.25': Value(dtype='int64', id=None), '0.26': Value(dtype='int64', id=None), '0.27': Value(dtype='int64', id=None), '0.28': Value(dtype='int64', id=None), '0.29': Value(dtype='int64', id=None), '0.30': Value(dtype='int64', id=None), '0.31': Value(dtype='int64', id=None), '0.32': Value(dtype='int64', id=None), '0.33'
              ...
              dtype='int64', id=None), '0.122': Value(dtype='int64', id=None), '0.123': Value(dtype='int64', id=None), '0.124': Value(dtype='int64', id=None), '0.125': Value(dtype='int64', id=None), '0.126': Value(dtype='int64', id=None), '0.127': Value(dtype='int64', id=None), '0.128': Value(dtype='int64', id=None), '0.129': Value(dtype='int64', id=None), '3.214195598815935': Value(dtype='float64', id=None), '0.130': Value(dtype='int64', id=None), '0.131': Value(dtype='int64', id=None), '0.132': Value(dtype='int64', id=None), '0.133': Value(dtype='int64', id=None), '-26.94607357321864': Value(dtype='float64', id=None), '0.134': Value(dtype='int64', id=None), '0.135': Value(dtype='int64', id=None), '0.136': Value(dtype='int64', id=None), '3.208269879707033': Value(dtype='float64', id=None), '-4.196750298957195': Value(dtype='float64', id=None), '0.137': Value(dtype='int64', id=None), '0.138': Value(dtype='int64', id=None), '0.139': Value(dtype='int64', id=None), '0.140': Value(dtype='int64', id=None), '4.864521777865256': Value(dtype='float64', id=None), '0.141': Value(dtype='int64', id=None), '0.142': Value(dtype='int64', id=None), '0.143': Value(dtype='int64', id=None), '-3.789138713636917': Value(dtype='float64', id=None), '3.538418562545121': Value(dtype='float64', id=None), '0.144': Value(dtype='int64', id=None), '0.145': Value(dtype='int64', id=None), '0.146': Value(dtype='int64', id=None), '0.147': Value(dtype='int64', id=None), '-4.726544517923336': 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 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 100 new columns ({'-0.06200352302450422', '2.549763367843506', '0.6414417297857652', '-0.6229339955695664', '1.081440495922614', '-0.4569120828503069', '-1.534852157341052', '-5.33636120229846', '3.817412255349864', '-5.114535920496493', '-0.6819539608086862', '-0.1767904489945682', '1.361646437657536', '1.26065820070868', '-1.154431329803066', '1.827648331401228', '0.3749007185480176.1', '-0.6091058094240103', '4.30002470619277', '-0.554568262841729', '1.201673346471799', '0.9138241657006138', '-0.6999832157955909', '-0.1753176960240044', '-0.9633289024356912', '0.9823913788259336', '-9.984424226794841', '7.199490416515466', '-2.101118173759757', '2.184050746984224', '-1.787001272273715', '0.382384990640074', '21.76922548504316', '-0.4273669355007', '0.7163133015732858', '0.641441729785765', '4.189908719896118', '0.365118863529185', '1.98671833236619', '0.3207208648928826', '-0.2206063780699058', '0.04002649669421322', '0.3749007185480176', '-1.477035131075763', '-0.8479017740703317', '0.757159105892034', '0.334152509520083', '3.989310212131522', '-0.3409113829128006', '2.89677418276734', '-0.675453847182224', '0.886348247587126', '2.311289914463664', '-3.000888132357226', '2.21429641918285', '-10.08297442413451', '-1.123450970194932', '-0.2144081240716119', '-1.57635105823624', '1.', '0.1883185689638018', '-22.51989503218566', '-5.805996793190116', '0.02620058457495329', '-1.', '-2.653448820359462', '-1.206120312672362', '-2.643833921889635', '0.4502928405262999', '0.4502928405262999.1', '4.099739466169555', '-5.78195733162295', '3.008942009764134', '-1.133664680721852', '-0.2178987282639982', '12.19625671348058', '11.703519127962177', '18.54308663988449', '-4.508222770916891', '10.114004088856946', '-3.929565515303734', '-4.68145445394883', '3.88762835344687', '1.827648331401228.1', '-2.672475981108662', '-0.2372833997680448', '-2.956755380097939', '-0.4516984295233251', '-0.811658435925312', '-2.464894290054589', '-0.1302581658490344', '1.021224020256429', '-2.003364608295668', '4.22226549391969', '-5.836024742510955', '0.5804919842997169', '-0.1603604324464413', '13.14937821976045', '0.3636226034453771', '-2.429456991916587'}) and 100 missing columns ({'0.82', '0.116', '0.115', '-26.94607357321864', '0.128', '0.80', '0.147', '-6.981707856766745', '0.114', '0.95', '0.143', '0.137', '0.118', '-4.196750298957195', '0.140', '0.130', '-3.14632509006899', '0.142', '0.105', '-3.789138713636917', '-3.155382387721266', '3.208269879707033', '0.123', '0.135', '0.119', '0.87', '0.124', '0.108', '-3.639104064020318', '0.125', '-5.263059502039747', '0.110', '0.111', '0.92', '0.109', '0.136', '0.113', '0.84', '0.131', '0.94', '1.455801701236836', '4.864521777865256', '0.138', '-3.013220308916643', '1.177785343215987', '-4.726544517923336', '0.97', '0.90', '0.99', '0.106', '0.81', '0.145', '0.88', '0.134', '0.126', '2.395765934506475', '-3.981702661070185', '1.095856529339736', '4.238681457695436', '0.98', '0.139', '0.100', '0.127', '0.146', '0.112', '3.538418562545121', '0.122', '-3.141592653589793', '0.117', '0.133', '0.85', '0.102', '0.91', '-1.5364815567649', '0.93', '0.144', '0.104', '0.96328275010051', '0.141', '0.103', '0.96', '1.469941145252377', '1.526884521553891', '0.86', '0.83', '2.87086328563787', '-2.325107695290412', '0.129', '3.214195598815935', '0.132', '0.89', '1.292978237079014', '1.414636679761504', '0.101', '6.861397781792938', '1.0075743130004445', '0.121', '0.107', '0.120', '-2.163722732339651'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/feynman-integrals-nn/heavycrossbox/re/testing_output.csv (at revision 59de72abd641b344034f6f04d49db0737a195d37)
              
              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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