The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
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)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.
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
|
End of preview.