Datasets:

feynman-integrals-nn
/

topbox

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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 77 new columns ({'-0.0772156649.1', '0.5.3', '0.5.8', '1.387049692', '1.450657895', '-1.1903012356', '0.64889003', '-0.9915184817.1', '0.9572368421.1', '0.306399954', '2.518353005', '-11.161898917', '0.5.7', '1.534196559', '1.852217474', '0.890128752', '0.8455686702', '-2.337920915', '2.188332776', '1.547376667', '0.541443256', '0.64889003.1', '1.922784335.1', '0.397607716', '-0.9915184817.3', '1..4', '0.5.4', '0.5.9', '0.5.2', '1.922784335.3', '1.5.1', '1..1', '0.5.1', '3.834836906', '1..2', '2.429283304', '-0.1651785714', '-0.1057940616', '1.5', '0.982442242', '1.260554078', '5.93560172', '-0.9915184817', '0.5.6', '-0.8859270837', '0.5.5', '1.624592332', '3.350502635', '-0.1108992253', '-0.9915184817.2', '-0.0772156649', '5.777510812', '3.061116163', '-0.4798987538', '0.64889003.2', '0.9572368421', '-1.330357143', '0.383615619', '1..3', '1.922784335.2', '6.871871465', '-0.0772156649.2', '1.', '0.0065944507', '1.922784335', '1.008207951', '-2.117430519', '3.002427255', '4.422318229', '6.807823768', '1.25', '1.75', '0.6228493333', '0.6803900988', '1.698830612', '2.476589258', '0.1294198743'}) and 77 missing columns ({'-0.663596065', '1.081687207', '0.014300987', '-0.5338420454.1', '0.54', '0.27', '0.47', '0.63', '0.62', '0.36', '0.00586323', '0.40', '0.48', '-1.417856137.2', '0.22', '0.50', '-0.031659761', '0.43', '-0.5338420454', '-1.2249713659', '0.26', '0.35', '0.57', '0.45', '-0.5338420454.2', '0.38', '0.28', '1.427951284', '0.46', '3.141592654.1', '1.182852198', '0.42', '1.182852198.1', '0.51', '3.225741647', '0.31', '0.44', '0.53', '-0.0148581875', '0.34', '0.56', '-7.32103288', '2.673248862', '-1.417856137.1', '0.30', '0.37', '0.55', '0.014116897', '-0.5166882092', '0.242251795', '-1.2219587449', '-0.5338420454.3', '2.549377927', '-1.417856137', '0.58', '0.52', '0.49', '-0.110519235', '0.59', '0.29', '0.0281981303', '0.33', '0.60', '0.400807733', '7.4419778', '0.1715237197', '0.23', '0.32', '3.141592654', '0.39', '-0.030833862', '4.324444851', '0.41', '0.24', '0.25', '0.61', '0.64'}).

This happened while the csv dataset builder was generating data using

hf://datasets/feynman-integrals-nn/topbox/re/testing_output.csv (at revision d6887ae6cba5c64837121431fa52b7c9556c3bc3)

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: int64
              0.1: int64
              -0.9915184817: double
              0.2: int64
              1.75: double
              0.982442242: double
              1.25: double
              0.0065944507: double
              2.476589258: double
              0.5: double
              1.922784335: double
              -0.8859270837: double
              0.3: int64
              0.5.1: double
              0.397607716: double
              0.5.2: double
              1.922784335.1: double
              0.541443256: double
              0.5.3: double
              -0.0772156649: double
              1.698830612: double
              0.4: int64
              -1.1903012356: double
              0.1294198743: double
              0.6: int64
              0.7: int64
              0.64889003: double
              0.8: int64
              0.9: int64
              -2.117430519: double
              0.10: int64
              0.11: int64
              0.64889003.1: double
              0.12: int64
              -0.9915184817.1: double
              1.260554078: double
              0.13: int64
              0.14: int64
              -0.9915184817.2: double
              0.9572368421: double
              0.6228493333: double
              6.807823768: double
              0.15: int64
              -0.1651785714: double
              1.534196559: double
              0.9572368421.1: double
              1.387049692: double
              2.429283304: double
              0.16: int64
              0.17: int64
              0.64889003.2: double
              0.5.4: double
              1.922784335.2: double
              3.350502635: double
              0.5.5: double
              1.922784335.3: double
              0.890128752: double
              0.18: int64
              0.5.6: double
              0.383615619: double
              0.5.7: double
              -0.0772156649.1: double
              -0.1057940616: double
              0.5.8: double
              -0.0772156649.2: double
              1.852217474: double
              0.5.9: double
              1.624592332: double
              -2.337920915: double
              0.19: int64
              1.: double
              1.008207951: double
              0.20: int64
              -0.9915184817.3: double
              -0.1108992253: double
              1.450657895: double
              3.834836906: double
              5.777510812: double
              -1.330357143: double
              -0.4798987538: double
              -11.161898917: double
              0.21: int64
              1..1: double
              0.306399954: double
              1.5: double
              2.518353005: double
              5.93560172: double
              1..2: double
              0.6803900988: double
              6.871871465: double
              1.5.1: double
              3.061116163: double
              4.422318229: double
              1..3: double
              1.547376667: double
              2.188332776: double
              1..4: double
              0.8455686702: double
              3.002427255: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 11895
              to
              {'0': Value(dtype='int64', id=None), '0.1': Value(dtype='int64', id=None), '-0.5338420454': Value(dtype='float64', id=None), '0.2': Value(dtype='int64', id=None), '0.3': Value(dtype='int64', id=None), '7.4419778': Value(dtype='float64', id=None), '0.4': Value(dtype='int64', id=None), '0.1715237197': Value(dtype='float64', id=None), '0.400807733': Value(dtype='float64', id=None), '0.5': Value(dtype='int64', id=None), '0.6': Value(dtype='int64', id=None), '-0.0148581875': Value(dtype='float64', id=None), '0.7': Value(dtype='int64', id=None), '0.8': Value(dtype='int64', id=None), '3.225741647': Value(dtype='float64', id=None), '0.9': Value(dtype='int64', id=None), '0.10': Value(dtype='int64', id=None), '0.0281981303': Value(dtype='float64', id=None), '0.11': Value(dtype='int64', id=None), '0.12': Value(dtype='int64', id=None), '0.014300987': Value(dtype='float64', id=None), '0.13': Value(dtype='int64', id=None), '-0.5166882092': Value(dtype='float64', id=None), '-1.2219587449': Value(dtype='float64', id=None), '0.14': Value(dtype='int64', id=None), '0.15': Value(dtype='int64', id=None), '-1.417856137': Value(dtype='float64', id=None), '0.16': Value(dtype='int64', id=None), '0.17': Value(dtype='int64', id=None), '-0.110519235': Value(dtype='float64', id=None), '0.18': Value(dtype='int64', id=None), '0.19': Value(dtype='int64', id=None), '-1.417856137.1': Value(dtype='float64', id=None), '0.20': Value(dtype='int64', id=None), '-0.5338420454.1': Value(dtype='float64', id=None), '-0
              ...
              e(dtype='int64', id=None), '0.41': Value(dtype='int64', id=None), '0.014116897': Value(dtype='float64', id=None), '0.42': Value(dtype='int64', id=None), '1.182852198': Value(dtype='float64', id=None), '1.427951284': Value(dtype='float64', id=None), '0.43': Value(dtype='int64', id=None), '0.44': Value(dtype='int64', id=None), '4.324444851': Value(dtype='float64', id=None), '0.45': Value(dtype='int64', id=None), '-0.5338420454.3': Value(dtype='float64', id=None), '-1.2249713659': Value(dtype='float64', id=None), '0.46': Value(dtype='int64', id=None), '0.47': Value(dtype='int64', id=None), '0.48': Value(dtype='int64', id=None), '0.49': Value(dtype='int64', id=None), '0.50': Value(dtype='int64', id=None), '0.00586323': Value(dtype='float64', id=None), '0.51': Value(dtype='int64', id=None), '0.52': Value(dtype='int64', id=None), '3.141592654.1': Value(dtype='float64', id=None), '0.53': Value(dtype='int64', id=None), '0.54': Value(dtype='int64', id=None), '0.55': Value(dtype='int64', id=None), '0.56': Value(dtype='int64', id=None), '0.57': Value(dtype='int64', id=None), '-0.030833862': Value(dtype='float64', id=None), '0.58': Value(dtype='int64', id=None), '0.59': Value(dtype='int64', id=None), '0.60': Value(dtype='int64', id=None), '0.61': Value(dtype='int64', id=None), '1.182852198.1': Value(dtype='float64', id=None), '2.673248862': Value(dtype='float64', id=None), '0.62': Value(dtype='int64', id=None), '0.63': Value(dtype='int64', id=None), '0.64': 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 77 new columns ({'-0.0772156649.1', '0.5.3', '0.5.8', '1.387049692', '1.450657895', '-1.1903012356', '0.64889003', '-0.9915184817.1', '0.9572368421.1', '0.306399954', '2.518353005', '-11.161898917', '0.5.7', '1.534196559', '1.852217474', '0.890128752', '0.8455686702', '-2.337920915', '2.188332776', '1.547376667', '0.541443256', '0.64889003.1', '1.922784335.1', '0.397607716', '-0.9915184817.3', '1..4', '0.5.4', '0.5.9', '0.5.2', '1.922784335.3', '1.5.1', '1..1', '0.5.1', '3.834836906', '1..2', '2.429283304', '-0.1651785714', '-0.1057940616', '1.5', '0.982442242', '1.260554078', '5.93560172', '-0.9915184817', '0.5.6', '-0.8859270837', '0.5.5', '1.624592332', '3.350502635', '-0.1108992253', '-0.9915184817.2', '-0.0772156649', '5.777510812', '3.061116163', '-0.4798987538', '0.64889003.2', '0.9572368421', '-1.330357143', '0.383615619', '1..3', '1.922784335.2', '6.871871465', '-0.0772156649.2', '1.', '0.0065944507', '1.922784335', '1.008207951', '-2.117430519', '3.002427255', '4.422318229', '6.807823768', '1.25', '1.75', '0.6228493333', '0.6803900988', '1.698830612', '2.476589258', '0.1294198743'}) and 77 missing columns ({'-0.663596065', '1.081687207', '0.014300987', '-0.5338420454.1', '0.54', '0.27', '0.47', '0.63', '0.62', '0.36', '0.00586323', '0.40', '0.48', '-1.417856137.2', '0.22', '0.50', '-0.031659761', '0.43', '-0.5338420454', '-1.2249713659', '0.26', '0.35', '0.57', '0.45', '-0.5338420454.2', '0.38', '0.28', '1.427951284', '0.46', '3.141592654.1', '1.182852198', '0.42', '1.182852198.1', '0.51', '3.225741647', '0.31', '0.44', '0.53', '-0.0148581875', '0.34', '0.56', '-7.32103288', '2.673248862', '-1.417856137.1', '0.30', '0.37', '0.55', '0.014116897', '-0.5166882092', '0.242251795', '-1.2219587449', '-0.5338420454.3', '2.549377927', '-1.417856137', '0.58', '0.52', '0.49', '-0.110519235', '0.59', '0.29', '0.0281981303', '0.33', '0.60', '0.400807733', '7.4419778', '0.1715237197', '0.23', '0.32', '3.141592654', '0.39', '-0.030833862', '4.324444851', '0.41', '0.24', '0.25', '0.61', '0.64'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/feynman-integrals-nn/topbox/re/testing_output.csv (at revision d6887ae6cba5c64837121431fa52b7c9556c3bc3)
              
              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)

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-0.5338420454 float64	7.4419778 float64	0.1715237197 float64	0.400807733 float64	0.5 int64	-0.0148581875 float64	3.225741647 float64	0.0281981303 float64	0.014300987 float64	-0.5166882092 float64	-1.2219587449 float64	-1.417856137 float64	-0.110519235 float64	-1.417856137.1 float64	-0.5338420454.1 float64	-0.663596065 float64	0.22 int64	-0.5338420454.2 float64	0.23 int64	0.24 int64	-0.031659761 float64	0.25 int64	0.26 int64	-7.32103288 float64	0.27 int64	1.081687207 float64	2.549377927 float64	0.28 int64	0.29 int64	-1.417856137.2 float64	0.30 int64	0.31 int64	0.242251795 float64	0.32 int64	0.33 int64	0.34 int64	0.35 int64	0.36 int64	3.141592654 float64	0.37 int64	0.38 int64	0.39 int64	0.40 int64	0.41 int64	0.014116897 float64	0.42 int64	1.182852198 float64	1.427951284 float64	0.43 int64	0.44 int64	4.324444851 float64	0.45 int64	-0.5338420454.3 float64	-1.2249713659 float64	0.46 int64	0.47 int64	0.48 int64	0.49 int64	0.50 int64	0.00586323 float64	0.51 int64	0.52 int64	3.141592654.1 float64	0.53 int64	0.54 int64	0.55 int64	0.56 int64	0.57 int64	-0.030833862 float64	0.58 int64	0.59 int64	0.60 int64	0.61 int64	1.182852198.1 float64	2.673248862 float64	0.62 int64	0.63 int64	0.64 int64
-0.569193	7.48866	0.22018	0.481592	0	-0.023472	3.272052	0.044376	0.022619	-0.530686	-1.179506	-1.38841	-0.142245	-1.38841	-0.569193	-0.590663	0	-0.569193	0	0	-0.051133	0	0	-7.552516	0	1.114922	2.475726	0	0	-1.38841	0	0	0.317763	0	0	0	0	0	3.141593	0	0	0	0	0	0.022073	0	1.287927	1.281057	0	0	4.42952	0	-0.569193	-1.195592	0	0	0	0	0	0.011435	0	0	3.141593	0	0	0	0	0	-0.049094	0	0	0	0	1.287927	2.651407	0	0	0
-0.583239	7.441673	0.249523	0.507981	0	-0.028256	3.215222	0.052362	0.026602	-0.5784	-1.199929	-1.375027	-0.157468	-1.375027	-0.583239	-0.556946	0	-0.583239	0	0	-0.060669	0	0	-7.661639	0	1.230919	2.538917	0	0	-1.375027	0	0	0.354546	0	0	0	0	0	3.141593	0	0	0	0	0	0.026431	0	1.332555	1.208597	0	0	4.474148	0	-0.583239	-1.178944	0	0	0	0	0	0.015004	0	0	3.141593	0	0	0	0	0	-0.05928	0	0	0	0	1.332555	2.63338	0	0	0
-0.555248	7.394286	0.204674	0.440256	0	-0.019591	3.170655	0.036389	0.018398	-0.570043	-1.24644	-1.400683	-0.128874	-1.400683	-0.555248	-0.622491	0	-0.555248	0	0	-0.041196	0	0	-7.454627	0	1.208302	2.623003	0	0	-1.400683	0	0	0.285373	0	0	0	0	0	3.141593	0	0	0	0	0	0.018493	0	1.245367	1.344541	0	0	4.386959	0	-0.555248	-1.209181	0	0	0	0	0	0.008768	0	0	3.141593	0	0	0	0	0	-0.040818	0	0	0	0	1.245367	2.663735	0	0	0
-0.554167	7.313662	0.207194	0.429187	0	-0.01933	3.091237	0.03524	0.017707	-0.611367	-1.294415	-1.401596	-0.127984	-1.401596	-0.554167	-0.625514	0	-0.554167	0	0	-0.039596	0	0	-7.447423	0	1.306159	2.735251	0	0	-1.401596	0	0	0.283014	0	0	0	0	0	3.141593	0	0	0	0	0	0.018242	0	1.242132	1.349143	0	0	4.383724	0	-0.554167	-1.21012	0	0	0	0	0	0.008591	0	0	3.141593	0	0	0	0	0	-0.040241	0	0	0	0	1.242132	2.664478	0	0	0
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