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 6 new columns ({'tx_id', 'value', 'sender', 'timestamp', 'pattern', 'receiver'}) and 6 missing columns ({'n_addresses', 'account_id', 'last_seen', 'entity_type', 'current_balance', 'first_seen'}).
This happened while the csv dataset builder was generating data using
hf://datasets/DBbun/500K_Crypto_v1.0/edges.csv (at revision 063510b461b5655cb1ec21c154a57ee8a7d4cfa2)
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
tx_id: string
timestamp: string
sender: string
receiver: string
value: int64
pattern: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 940
to
{'account_id': Value('string'), 'entity_type': Value('string'), 'first_seen': Value('string'), 'last_seen': Value('string'), 'current_balance': Value('int64'), 'n_addresses': Value('int64')}
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 1339, 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 972, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
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 6 new columns ({'tx_id', 'value', 'sender', 'timestamp', 'pattern', 'receiver'}) and 6 missing columns ({'n_addresses', 'account_id', 'last_seen', 'entity_type', 'current_balance', 'first_seen'}).
This happened while the csv dataset builder was generating data using
hf://datasets/DBbun/500K_Crypto_v1.0/edges.csv (at revision 063510b461b5655cb1ec21c154a57ee8a7d4cfa2)
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.
account_id
string | entity_type
string | first_seen
string | last_seen
string | current_balance
int64 | n_addresses
int64 |
|---|---|---|---|---|---|
WBU00000
|
business
|
2025-10-09 14:55:49.355148
|
2025-10-09 14:55:49.355148
| 1,011,580
| 242
|
WBU00001
|
business
|
2025-10-09 14:55:49.355148
|
2025-10-09 14:55:49.355148
| 962,713
| 224
|
WBU00002
|
business
|
2025-10-09 14:55:49.355148
|
2025-10-09 14:55:49.355148
| 1,978,819
| 224
|
WBU00003
|
business
|
2025-10-09 14:55:49.355148
|
2025-10-09 14:55:49.355148
| 986,519
| 204
|
WBU00004
|
business
|
2025-10-09 14:55:49.355148
|
2025-10-09 14:55:49.355148
| 4,190,027
| 210
|
WBU00005
|
business
|
2025-10-09 14:55:49.355148
|
2025-10-09 14:55:49.355148
| 25,801,029
| 244
|
WBU00006
|
business
|
2025-10-09 14:55:49.355148
|
2025-10-09 14:55:49.355148
| 908,322
| 217
|
WBU00007
|
business
|
2025-10-09 14:55:49.355148
|
2025-10-09 14:55:49.355148
| 3,094,783
| 198
|
WBU00008
|
business
|
2025-10-09 14:55:49.355148
|
2025-10-09 14:56:45.920931
| 2,224,287
| 205
|
WBU00009
|
business
|
2025-10-09 14:55:49.355148
|
2025-10-09 14:55:49.355148
| 2,846,815
| 192
|
WBU00010
|
business
|
2025-10-09 14:55:49.355148
|
2025-10-09 14:55:51.430799
| 577,380
| 248
|
WBU00011
|
business
|
2025-10-09 14:55:49.355148
|
2025-10-09 14:55:49.355148
| 972,547
| 230
|
WBU00012
|
business
|
2025-10-09 14:55:49.355148
|
2025-10-09 14:55:49.355148
| 2,173,409
| 227
|
WBU00013
|
business
|
2025-10-09 14:55:49.355148
|
2025-10-09 14:55:49.363231
| 489,733
| 206
|
WBU00014
|
business
|
2025-10-09 14:55:49.363231
|
2025-10-09 14:55:49.363231
| 1,078,271
| 224
|
WBU00015
|
business
|
2025-10-09 14:55:49.363231
|
2025-10-09 14:55:49.363231
| 3,491,877
| 207
|
WBU00016
|
business
|
2025-10-09 14:55:49.363231
|
2025-10-09 14:55:49.363231
| 1,859,084
| 204
|
WBU00017
|
business
|
2025-10-09 14:55:49.363231
|
2025-10-09 14:55:49.363231
| 1,738,630
| 222
|
WBU00018
|
business
|
2025-10-09 14:55:49.363231
|
2025-10-09 14:55:49.363231
| 783,374
| 241
|
WBU00019
|
business
|
2025-10-09 14:55:49.363231
|
2025-10-09 14:55:49.363231
| 1,124,705
| 218
|
WBU00020
|
business
|
2025-10-09 14:55:49.363231
|
2025-10-09 14:55:49.363231
| 2,558,664
| 201
|
WBU00021
|
business
|
2025-10-09 14:55:49.363231
|
2025-10-09 14:55:49.363231
| 7,674,983
| 200
|
WBU00022
|
business
|
2025-10-09 14:55:49.363231
|
2025-10-09 14:55:49.363231
| 1,904,873
| 206
|
WBU00023
|
business
|
2025-10-09 14:55:49.363231
|
2025-10-09 14:55:49.363231
| 1,818,968
| 207
|
WEX00000
|
exchange
|
2025-10-09 14:55:49.355148
|
2025-10-09 05:25:19.892689
| 526,401
| 2,428
|
WEX00001
|
exchange
|
2025-10-09 14:55:49.355148
|
2025-10-09 08:32:41.425276
| 510,759
| 2,474
|
WEX00002
|
exchange
|
2025-10-09 14:55:49.355148
|
2025-10-09 11:25:37.912998
| 471,423
| 2,427
|
WEX00003
|
exchange
|
2025-10-09 14:55:49.355148
|
2025-10-09 14:23:04.359679
| 461,332
| 2,449
|
WEX00004
|
exchange
|
2025-10-09 14:55:49.355148
|
2025-10-09 10:10:22.171774
| 461,864
| 2,494
|
WEX00005
|
exchange
|
2025-10-09 14:55:49.355148
|
2025-10-09 11:11:55.780177
| 423,768
| 2,497
|
WEX00006
|
exchange
|
2025-10-09 14:55:49.355148
|
2025-10-09 12:10:03.427769
| 420,467
| 2,362
|
WEX00007
|
exchange
|
2025-10-09 14:55:49.355148
|
2025-10-09 06:32:33.435363
| 381,094
| 2,498
|
WEX00008
|
exchange
|
2025-10-09 14:55:49.355148
|
2025-10-09 12:03:47.429173
| 492,203
| 2,508
|
WEX00009
|
exchange
|
2025-10-09 14:55:49.355148
|
2025-10-09 12:53:10.763557
| 399,097
| 2,462
|
WLI00000
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-09 14:55:49.331678
| 567,997
| 241
|
WLI00001
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-09 14:55:51.102344
| 624,747
| 256
|
WLI00002
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-09 13:46:43.329093
| 4,538,810
| 237
|
WLI00003
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-09 14:55:49.331678
| 594,452
| 258
|
WLI00004
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-09 14:55:49.331678
| 515,824
| 258
|
WLI00005
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-09 14:55:49.331678
| 612,606
| 274
|
WLI00006
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-09 14:55:49.331678
| 720,741
| 255
|
WLI00007
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-09 14:55:49.331678
| 503,590
| 237
|
WLI00008
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-09 14:55:49.331678
| 614,669
| 243
|
WLI00009
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-09 14:55:49.331678
| 488,108
| 237
|
WLI00010
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-09 14:55:49.331678
| 539,827
| 280
|
WLI00011
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-09 14:55:49.331678
| 2,034,009
| 268
|
WLI00012
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-09 14:55:49.331678
| 667,980
| 256
|
WLI00013
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-09 14:55:49.331678
| 504,863
| 270
|
WLI00014
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-09 14:55:49.331678
| 460,895
| 231
|
WLI00015
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-08 07:44:00.165524
| 974,049
| 240
|
WLI00016
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-09 14:55:49.363231
| 1,828,882
| 252
|
WLI00017
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-09 14:55:49.331678
| 1,053,612
| 248
|
WLI00018
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-09 14:55:49.331678
| 562,102
| 255
|
WLI00019
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-09 14:55:49.331678
| 860,192
| 256
|
WLI00020
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-09 14:55:49.331678
| 546,829
| 261
|
WLI00021
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-09 14:55:49.331678
| 2,535,547
| 228
|
WLI00022
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-09 14:55:49.331678
| 1,377,426
| 245
|
WLI00023
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-09 14:55:49.331678
| 479,248
| 238
|
WLI00024
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-09 14:55:49.331678
| 797,594
| 254
|
WLI00025
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-07 13:39:32.047741
| 684,160
| 254
|
WLI00026
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-09 14:55:49.331678
| 656,871
| 259
|
WLI00027
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-09 14:55:49.331678
| 546,882
| 249
|
WLI00028
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-09 14:55:49.331678
| 572,403
| 243
|
WLI00029
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-09 14:55:49.331678
| 517,890
| 257
|
WLI00030
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-09 14:55:49.331678
| 629,056
| 250
|
WLI00031
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-09 14:55:50.057689
| 561,664
| 287
|
WLI00032
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-09 14:55:54.164656
| 3,668,828
| 254
|
WLI00033
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-09 14:55:49.331678
| 760,438
| 269
|
WLI00034
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-09 14:55:49.331678
| 540,362
| 276
|
WLI00035
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-09 14:55:53.657000
| 679,628
| 257
|
WLI00036
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-09 14:55:49.331678
| 942,509
| 255
|
WLI00037
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-09 14:55:49.331678
| 600,332
| 260
|
WLI00038
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-09 14:55:49.331678
| 665,029
| 281
|
WLI00039
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-09 14:55:49.331678
| 743,740
| 263
|
WLI00040
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-09 14:55:49.331678
| 645,353
| 256
|
WLI00041
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-09 14:55:49.331678
| 654,844
| 269
|
WLI00042
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-09 14:55:49.331678
| 1,963,427
| 256
|
WLI00043
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-09 14:55:49.331678
| 1,335,141
| 255
|
WLI00044
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-09 14:55:49.331678
| 441,519
| 243
|
WLI00045
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-09 14:55:49.331678
| 665,918
| 253
|
WLI00046
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-09 14:55:49.331678
| 3,197,252
| 257
|
WLI00047
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-09 14:55:49.331678
| 541,161
| 260
|
WLI00048
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-09 14:55:49.331678
| 596,173
| 249
|
WLI00049
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-09 14:55:49.331678
| 533,000
| 280
|
WLI00050
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-09 14:55:49.331678
| 1,598,976
| 262
|
WLI00051
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-09 14:55:49.331678
| 1,797,221
| 297
|
WLI00052
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-09 14:55:49.331678
| 602,391
| 287
|
WLI00053
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-09 14:55:49.363231
| 2,375,277
| 263
|
WLI00054
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-09 14:55:49.331678
| 1,185,911
| 271
|
WLI00055
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-09 14:55:49.331678
| 636,760
| 237
|
WLI00056
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-09 14:55:49.331678
| 1,644,465
| 261
|
WLI00057
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-08 00:51:09.998631
| 692,639
| 271
|
WLI00058
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-09 14:55:49.331678
| 573,581
| 290
|
WLI00059
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-09 14:55:49.331678
| 487,932
| 240
|
WLI00060
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-09 14:55:49.331678
| 397,682
| 241
|
WLI00061
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-09 14:55:50.232479
| 3,845,637
| 264
|
WLI00062
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-09 14:55:49.331678
| 594,476
| 257
|
WLI00063
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-09 14:55:49.331678
| 589,684
| 223
|
WLI00064
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-09 14:55:49.331678
| 382,589
| 275
|
WLI00065
|
licit
|
2025-10-09 14:55:49.331678
|
2025-10-04 08:37:15.925532
| 838,959
| 227
|
End of preview.