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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 13 new columns ({'betweenness_centrality', 'long_term_incoming_transfer_frequency', 'eigenvector_centrality', 'in_degree_centrality', 'clustering_coefficient', 'closeness_centrality', 'katz_centrality', 'out_degree_centrality', 'short_term_outgoing_transfer_frequency', 'short_term_incoming_transfer_frequency', 'degree_centrality', 'node', 'long_term_outgoing_transfer_frequency'}) and 11 missing columns ({'transfer_value', 'short_term_accumulated_incoming_transfer_frequency', 'accumulated_incoming_transfer_degree', 'recipient', 'timestamp', 'sender', 'long_term_accumulated_outgoing_transfer_frequency', 'long_term_accumulated_incoming_transfer_frequency', 'accumulated_outgoing_transfer_degree', 'short_term_accumulated_outgoing_transfer_frequency', 'harmonic_transfer_value'}).

This happened while the csv dataset builder was generating data using

hf://datasets/semiotic/tokenscout/node-attri.csv (at revision b09ceb3b3b137e723f3bfccfff5ee541d4d33366)

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 "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              token_address: int64
              node: int64
              degree_centrality: double
              in_degree_centrality: double
              out_degree_centrality: double
              betweenness_centrality: double
              closeness_centrality: double
              eigenvector_centrality: double
              katz_centrality: double
              clustering_coefficient: double
              long_term_incoming_transfer_frequency: double
              short_term_incoming_transfer_frequency: double
              long_term_outgoing_transfer_frequency: double
              short_term_outgoing_transfer_frequency: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2321
              to
              {'token_address': Value('int64'), 'sender': Value('int64'), 'recipient': Value('int64'), 'transfer_value': Value('float64'), 'timestamp': Value('int64'), 'harmonic_transfer_value': Value('float64'), 'long_term_accumulated_incoming_transfer_frequency': Value('float64'), 'short_term_accumulated_incoming_transfer_frequency': Value('float64'), 'accumulated_incoming_transfer_degree': Value('float64'), 'long_term_accumulated_outgoing_transfer_frequency': Value('float64'), 'short_term_accumulated_outgoing_transfer_frequency': Value('float64'), 'accumulated_outgoing_transfer_degree': Value('float64')}
              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 1334, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 911, in stream_convert_to_parquet
                  builder._prepare_split(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/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 13 new columns ({'betweenness_centrality', 'long_term_incoming_transfer_frequency', 'eigenvector_centrality', 'in_degree_centrality', 'clustering_coefficient', 'closeness_centrality', 'katz_centrality', 'out_degree_centrality', 'short_term_outgoing_transfer_frequency', 'short_term_incoming_transfer_frequency', 'degree_centrality', 'node', 'long_term_outgoing_transfer_frequency'}) and 11 missing columns ({'transfer_value', 'short_term_accumulated_incoming_transfer_frequency', 'accumulated_incoming_transfer_degree', 'recipient', 'timestamp', 'sender', 'long_term_accumulated_outgoing_transfer_frequency', 'long_term_accumulated_incoming_transfer_frequency', 'accumulated_outgoing_transfer_degree', 'short_term_accumulated_outgoing_transfer_frequency', 'harmonic_transfer_value'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/semiotic/tokenscout/node-attri.csv (at revision b09ceb3b3b137e723f3bfccfff5ee541d4d33366)
              
              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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token_address int64	sender int64	recipient int64	transfer_value float64	timestamp int64	harmonic_transfer_value float64	long_term_accumulated_incoming_transfer_frequency float64	short_term_accumulated_incoming_transfer_frequency float64	accumulated_incoming_transfer_degree float64	long_term_accumulated_outgoing_transfer_frequency float64	short_term_accumulated_outgoing_transfer_frequency float64	accumulated_outgoing_transfer_degree float64
3	1,851,570	1,363,044	1.695342	0	0.048579	0.000006	0.000046	1	0.000012	0.000093	2
3	1,363,044	1,363,044	-1.228175	0	-0.498566	0.000006	0.000046	1	0.000012	0.000093	2
3	1,363,044	61,055	-1.228175	256,906	-0.326929	0.000009	0.000069	3	0.000006	0.000046	1
3	1,363,044	3,289,096	0.978025	256,906	0.036932	0.000009	0.000069	3	0.000006	0.000046	1
3	1,363,044	1,013,061	0.898019	258,734	0.057344	0.000014	0.000116	5	0.000006	0.000046	1
3	1,363,044	61,055	-1.228175	258,734	-0.326929	0.000014	0.000116	5	0.000012	0.000093	2
3	1,363,044	61,055	-1.228175	259,194	-0.326929	0.00002	0.000162	7	0.000017	0.000139	3
3	1,363,044	1,013,061	0.898019	259,194	0.057344	0.00002	0.000162	7	0.000012	0.000093	2
3	1,363,044	61,055	-1.228175	259,830	-0.326929	0.000026	0.000208	9	0.000023	0.000185	4
3	1,363,044	1,013,061	0.898019	259,830	0.057344	0.000026	0.000208	9	0.000017	0.000139	3
3	1,013,061	61,055	0.210813	260,094	0.012435	0.000012	0.000093	2	0.000029	0.000231	5
3	1,013,061	1,363,044	0.977852	260,094	0.062442	0.000012	0.000093	2	0.000009	0.000069	3
3	1,013,061	1,363,044	0.897904	260,362	0.057336	0.000023	0.000185	4	0.000012	0.000093	4
3	1,013,061	61,055	0.130865	260,362	0.007719	0.000023	0.000185	4	0.000035	0.000278	6
3	1,363,044	3,289,096	0.978025	650,258	0.036932	0.000021	0.00017	11	0.000006	0.000046	2
3	1,363,044	61,055	-1.228175	650,258	-0.326929	0.000021	0.00017	11	0.000023	0.000185	8
3	3,289,096	61,055	-0.187633	650,258	-0.006755	0.000006	0.000046	1	0.000023	0.000185	8
3	1,363,044	61,055	-1.228175	650,680	-0.326929	0.000025	0.000201	13	0.000026	0.000208	9
3	1,363,044	3,289,096	0.978025	650,680	0.036932	0.000025	0.000201	13	0.000009	0.000069	3
3	1,363,044	3,324,689	0.632245	678,490	0.006184	0.000029	0.000174	15	0.000006	0.000046	1
3	1,363,044	61,055	-1.228175	678,490	-0.326929	0.000029	0.000174	15	0.000029	0.000154	10
3	1,363,044	567,189	0.872263	683,521	0.008532	0.000033	0.000197	17	0.000006	0.000046	1
3	1,363,044	61,055	-1.228175	683,521	-0.326929	0.000033	0.000197	17	0.000032	0.00017	11
3	1,363,044	961,610	0.898019	691,093	0.017359	0.000037	0.00022	19	0.000006	0.000046	1
3	1,363,044	61,055	-1.228175	691,093	-0.326929	0.000037	0.00022	19	0.000035	0.000185	12
3	1,363,044	2,018,608	0.978025	694,400	0.009567	0.000041	0.000243	21	0.000006	0.000046	1
3	1,363,044	61,055	-1.228175	694,400	-0.326929	0.000041	0.000243	21	0.000038	0.000201	13
3	1,363,044	2,165,328	0.978025	718,500	0.009567	0.000044	0.000213	23	0.000006	0.000046	1
3	1,363,044	61,055	-1.228175	718,500	-0.326929	0.000044	0.000213	23	0.000041	0.000162	14
3	1,363,044	1,013,061	0.632245	857,424	0.040373	0.000036	0.000193	25	0.000012	0.000093	4
3	1,363,044	61,055	-1.228175	857,424	-0.326929	0.000036	0.000193	25	0.000031	0.000148	16
3	1,013,061	61,055	-1.228175	857,424	-0.072443	0.000014	0.000116	5	0.000031	0.000148	16
3	1,363,044	2,076,220	0.632245	857,773	0.006184	0.000039	0.000208	27	0.000006	0.000046	1
3	1,363,044	61,055	-1.228175	857,773	-0.326929	0.000039	0.000208	27	0.000033	0.000157	17
3	3,289,096	3,675,007	1.102892	868,808	0.008736	0.000012	0.000093	4	0.000006	0.000046	1
3	3,289,096	61,055	0.335853	868,808	0.012092	0.000012	0.000093	4	0.000037	0.000176	19
3	3,289,096	61,055	-0.094045	868,808	-0.003386	0.000012	0.000093	4	0.000037	0.000176	19
3	1,363,044	1,749,071	0.978025	878,245	0.009567	0.000042	0.000224	29	0.000006	0.000046	1
3	1,363,044	61,055	-1.228175	878,245	-0.326929	0.000042	0.000224	29	0.000039	0.000185	20
3	1,363,044	1,928,050	0.632245	881,332	0.018117	0.000045	0.000205	31	0.000006	0.000046	1
3	1,363,044	61,055	-1.228175	881,332	-0.326929	0.000045	0.000205	31	0.000041	0.000162	21
3	1,363,044	3,670,235	0.818013	881,833	0.02344	0.000048	0.000218	33	0.000006	0.000046	1
3	1,363,044	61,055	-1.228175	881,833	-0.326929	0.000048	0.000218	33	0.000042	0.00017	22
3	1,363,044	61,055	-1.228175	943,779	-0.326929	0.000051	0.000203	35	0.000044	0.000152	23
3	1,363,044	2,076,220	0.632245	943,779	0.006184	0.000051	0.000203	35	0.000012	0.000046	2
3	1,363,044	665,658	1.083788	1,052,788	0.010601	0.000043	0.00019	37	0.000006	0.000046	1
3	1,363,044	61,055	-1.228175	1,052,788	-0.326929	0.000043	0.00019	37	0.000035	0.000139	24
3	1,363,044	1,343,724	0.978025	1,086,042	0.054139	0.000045	0.000181	39	0.000006	0.000046	1
3	1,363,044	61,055	-1.228175	1,086,042	-0.326929	0.000045	0.000181	39	0.000036	0.000129	25
3	1,363,044	61,055	-1.228175	1,121,481	-0.326929	0.000047	0.000173	41	0.000038	0.00012	26
3	1,363,044	1,343,724	1.083788	1,121,481	0.059994	0.000047	0.000173	41	0.000012	0.000046	2
3	1,343,724	291,899	0.898019	1,125,029	0.024249	0.000012	0.000093	2	0.000006	0.000046	1
3	1,343,724	61,055	0.130981	1,125,029	0.006766	0.000012	0.000093	2	0.000039	0.000125	27
3	1,363,044	1,533,245	1.163794	1,166,818	0.033348	0.00005	0.000166	43	0.000006	0.000046	1
3	1,363,044	61,055	-1.228175	1,166,818	-0.326929	0.00005	0.000166	43	0.000041	0.000118	28
3	1,533,245	1,867,481	0.898019	1,167,865	0.01067	0.000012	0.000093	2	0.000006	0.000046	1
3	1,533,245	61,055	0.130981	1,167,865	0.003619	0.000012	0.000093	2	0.000042	0.000122	29
3	1,363,044	61,055	-1.228175	1,169,608	-0.326929	0.000052	0.000174	45	0.000043	0.000126	30
3	1,363,044	1,867,481	0.978025	1,169,608	0.018906	0.000052	0.000174	45	0.000012	0.000093	2
3	1,533,245	61,055	0.384336	1,169,736	0.010619	0.000023	0.000185	4	0.000045	0.00013	31
3	1,533,245	1,867,481	1.151376	1,169,736	0.01368	0.000023	0.000185	4	0.000017	0.000139	3
3	1,363,044	61,055	-1.228175	1,169,975	-0.326929	0.000054	0.000181	47	0.000046	0.000135	32
3	1,363,044	1,867,481	1.323806	1,169,975	0.02559	0.000054	0.000181	47	0.000023	0.000185	4
3	1,363,044	1,609,700	0.978025	1,197,392	0.018906	0.000057	0.000175	49	0.000006	0.000046	1
3	1,363,044	61,055	-1.228175	1,197,392	-0.326929	0.000057	0.000175	49	0.000048	0.000127	33
3	1,363,044	61,055	-1.228175	1,197,659	-0.326929	0.000059	0.000182	51	0.000049	0.000131	34
3	1,363,044	1,609,700	1.231639	1,197,659	0.023808	0.000059	0.000182	51	0.000012	0.000093	2
3	1,363,044	61,055	-1.228175	1,200,202	-0.326929	0.000061	0.000189	53	0.000051	0.000135	35
3	1,363,044	1,609,700	1.403812	1,200,202	0.027136	0.000061	0.000189	53	0.000017	0.000139	3
3	1,363,044	1,013,061	1.163794	1,204,074	0.074315	0.000064	0.000196	55	0.00001	0.000077	5
3	1,363,044	61,055	-1.228175	1,204,074	-0.326929	0.000064	0.000196	55	0.000054	0.000143	37
3	1,013,061	61,055	-0.533203	1,204,074	-0.031451	0.000012	0.000093	6	0.000054	0.000143	37
3	1,363,044	1,343,724	1.163794	1,259,057	0.064422	0.000055	0.000188	57	0.000009	0.000046	3
3	1,363,044	61,055	-1.228175	1,259,057	-0.326929	0.000055	0.000188	57	0.000045	0.000139	39
3	1,343,724	61,055	-0.140865	1,259,057	-0.007277	0.000017	0.000069	3	0.000045	0.000139	39
3	1,363,044	118,700	1.163794	1,260,024	0.022497	0.000057	0.000195	59	0.000006	0.000046	1
3	1,363,044	61,055	-1.228175	1,260,024	-0.326929	0.000057	0.000195	59	0.000046	0.000142	40
3	1,363,044	61,055	-1.228175	1,304,175	-0.326929	0.000059	0.000188	61	0.000047	0.000136	41
3	1,363,044	118,700	1.163794	1,304,175	0.022497	0.000059	0.000188	61	0.000012	0.000046	2
3	1,363,044	118,700	1.163794	1,375,078	0.022497	0.000061	0.000182	63	0.000017	0.000046	3
3	1,363,044	61,055	-1.228175	1,375,078	-0.326929	0.000061	0.000182	63	0.00005	0.000133	43
3	118,700	61,055	-0.081879	1,375,078	-0.001544	0.000006	0.000046	1	0.00005	0.000133	43
3	1,363,044	2,519,122	1.163794	1,407,799	0.022497	0.000063	0.000177	65	0.000006	0.000046	1
3	1,363,044	61,055	-1.228175	1,407,799	-0.326929	0.000063	0.000177	65	0.000051	0.000127	44
3	1,363,044	61,055	-1.228175	1,415,441	-0.326929	0.000065	0.000182	67	0.000052	0.00013	45
3	1,363,044	2,519,122	1.515206	1,415,441	0.02929	0.000065	0.000182	67	0.000012	0.000093	2
3	1,363,044	2,519,122	1.352299	1,415,963	0.026141	0.000067	0.000188	69	0.000017	0.000139	3
3	1,363,044	61,055	-1.228175	1,415,963	-0.326929	0.000067	0.000188	69	0.000053	0.000133	46
3	1,363,044	3,385,819	0.898019	1,433,818	0.008784	0.000059	0.000183	71	0.000006	0.000046	1
3	1,363,044	61,055	-1.228175	1,433,818	-0.326929	0.000059	0.000183	71	0.000045	0.000128	47
3	291,899	2,810,582	0.632245	1,477,511	0.019261	0.000017	0.000139	3	0.000006	0.000046	1
3	291,899	61,055	-0.134786	1,477,511	-0.005931	0.000017	0.000139	3	0.000047	0.000126	49
3	291,899	61,055	-0.267625	1,477,511	-0.011777	0.000017	0.000139	3	0.000047	0.000126	49
3	1,343,724	291,899	1.083788	1,478,077	0.029265	0.000017	0.000093	6	0.000006	0.000046	2
3	1,343,724	61,055	0.316748	1,478,077	0.016362	0.000017	0.000093	6	0.000049	0.000131	51
3	1,343,724	61,055	-0.027641	1,478,077	-0.001428	0.000017	0.000093	6	0.000049	0.000131	51
3	291,899	2,810,582	0.885836	1,478,813	0.026987	0.000029	0.000231	5	0.000012	0.000093	2
3	291,899	61,055	0.118797	1,478,813	0.005228	0.000029	0.000231	5	0.00005	0.000134	52
3	1,343,724	61,055	0.316748	1,479,029	0.016362	0.000023	0.000123	8	0.000051	0.000136	53
3	1,343,724	291,899	1.083788	1,479,029	0.029265	0.000023	0.000123	8	0.000009	0.000069	3

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