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 ({'sender', 'timestamp', 'pattern', 'value', 'tx_id', 'receiver'}) and 6 missing columns ({'first_seen', 'account_id', 'entity_type', 'last_seen', 'n_addresses', 'current_balance'}). This happened while the csv dataset builder was generating data using hf://datasets/DBbun/500K_Crypto_v1.0/edges.csv (at revision fc9a51a424c0be024d56214e72554b3395000a8c) 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 1831, in _prepare_split_single writer.write_table(table) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 644, 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 2272, in table_cast return cast_table_to_schema(table, schema) File "/src/services/worker/.venv/lib/python3.9/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 1456, 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 1055, in convert_to_parquet builder.download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 894, in download_and_prepare self._download_and_prepare( File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 970, 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 1702, 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 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 ({'sender', 'timestamp', 'pattern', 'value', 'tx_id', 'receiver'}) and 6 missing columns ({'first_seen', 'account_id', 'entity_type', 'last_seen', 'n_addresses', 'current_balance'}). This happened while the csv dataset builder was generating data using hf://datasets/DBbun/500K_Crypto_v1.0/edges.csv (at revision fc9a51a424c0be024d56214e72554b3395000a8c) 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.
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