Dataset Preview
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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 10 new columns ({'Vol (24H)', 'Symbol', 'Market Cap', 'Price (USD)', 'Chg (24H)', 'Rank', 'Total Vol', 'Name', 'Chg (7D)', 'Dataset Availability'}) and 7 missing columns ({'Date', 'Open', 'Currency', 'High', 'Close', 'Low', 'Volume'}).
This happened while the csv dataset builder was generating data using
hf://datasets/coan/bot_claiton/Current Crypto leaderboard.csv (at revision 1b840c24d09c7a24b82fae3982189de0f5eba55e)
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 1870, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 622, 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 2292, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
Rank: int64
Name: string
Symbol: string
Price (USD): double
Market Cap: string
Vol (24H): string
Total Vol: string
Chg (24H): string
Chg (7D): string
Dataset Availability: bool
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1434
to
{'Date': Value(dtype='string', id=None), 'Open': Value(dtype='float64', id=None), 'High': Value(dtype='float64', id=None), 'Low': Value(dtype='float64', id=None), 'Close': Value(dtype='float64', id=None), 'Volume': Value(dtype='float64', id=None), 'Currency': Value(dtype='string', 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 1417, 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 1049, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1000, 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 1741, 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 1872, 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 10 new columns ({'Vol (24H)', 'Symbol', 'Market Cap', 'Price (USD)', 'Chg (24H)', 'Rank', 'Total Vol', 'Name', 'Chg (7D)', 'Dataset Availability'}) and 7 missing columns ({'Date', 'Open', 'Currency', 'High', 'Close', 'Low', 'Volume'}).
This happened while the csv dataset builder was generating data using
hf://datasets/coan/bot_claiton/Current Crypto leaderboard.csv (at revision 1b840c24d09c7a24b82fae3982189de0f5eba55e)
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.
Date
string | Open
float64 | High
float64 | Low
float64 | Close
float64 | Volume
float64 | Currency
string |
|---|---|---|---|---|---|---|
2020-12-25
| 1.602781
| 2.918094
| 1.375262
| 2.328544
| 638,225,549
|
USD
|
2020-12-26
| 2.318946
| 2.434916
| 1.582264
| 1.596896
| 237,653,073
|
USD
|
2020-12-27
| 1.597744
| 1.630781
| 1.056657
| 1.062112
| 183,978,307
|
USD
|
2020-12-28
| 1.064454
| 1.254447
| 1.049051
| 1.110076
| 119,337,529
|
USD
|
2020-12-29
| 1.11046
| 1.111282
| 0.761151
| 0.887798
| 137,916,899
|
USD
|
2020-12-30
| 0.887512
| 1.247288
| 0.874251
| 1.090341
| 182,382,243
|
USD
|
2020-12-31
| 1.088897
| 1.38594
| 1.063167
| 1.367989
| 180,428,611
|
USD
|
2021-01-01
| 1.366718
| 1.389625
| 1.095375
| 1.155377
| 85,719,567
|
USD
|
2021-01-02
| 1.154209
| 1.157855
| 1.004734
| 1.028526
| 57,325,197
|
USD
|
2021-01-03
| 1.027873
| 1.134753
| 0.954321
| 1.094289
| 78,903,254
|
USD
|
2021-01-04
| 1.100945
| 1.220347
| 0.989475
| 1.031272
| 74,099,782
|
USD
|
2021-01-05
| 1.030448
| 1.300569
| 0.995623
| 1.252707
| 89,986,368
|
USD
|
2021-01-06
| 1.253225
| 1.517207
| 1.197689
| 1.513447
| 125,911,564
|
USD
|
2021-01-07
| 1.511154
| 1.580845
| 1.261106
| 1.30557
| 117,149,006
|
USD
|
2021-01-08
| 1.300176
| 1.340268
| 1.065584
| 1.194577
| 98,153,438
|
USD
|
2021-01-09
| 1.19173
| 1.298951
| 1.123287
| 1.24719
| 70,724,250
|
USD
|
2021-01-10
| 1.246711
| 1.384125
| 1.121921
| 1.209855
| 89,053,579
|
USD
|
2021-01-11
| 1.208978
| 1.208978
| 0.975833
| 1.127112
| 81,363,662
|
USD
|
2021-01-12
| 1.125852
| 1.202055
| 1.063291
| 1.122758
| 54,302,083
|
USD
|
2021-01-13
| 1.12312
| 1.303913
| 1.078146
| 1.272303
| 65,603,619
|
USD
|
2021-01-14
| 1.273228
| 1.395789
| 1.270784
| 1.334817
| 65,837,974
|
USD
|
2021-01-15
| 1.335784
| 1.499982
| 1.196581
| 1.349639
| 117,648,381
|
USD
|
2021-01-16
| 1.348786
| 1.809448
| 1.341376
| 1.646293
| 180,632,496
|
USD
|
2021-01-17
| 1.644088
| 2.156182
| 1.597894
| 2.029227
| 264,378,890
|
USD
|
2021-01-18
| 2.032203
| 2.06631
| 1.753496
| 1.877701
| 155,228,582
|
USD
|
2021-01-19
| 1.87876
| 2.090567
| 1.815861
| 1.915727
| 138,354,206
|
USD
|
2021-01-20
| 1.910806
| 1.960662
| 1.652019
| 1.855688
| 115,774,841
|
USD
|
2021-01-21
| 1.855115
| 1.876614
| 1.557708
| 1.566641
| 106,919,773
|
USD
|
2021-01-22
| 1.565977
| 1.847369
| 1.429679
| 1.767444
| 147,896,568
|
USD
|
2021-01-23
| 1.763866
| 1.990243
| 1.713186
| 1.931969
| 149,652,679
|
USD
|
2021-01-24
| 1.930555
| 2.48342
| 1.886283
| 2.476354
| 238,009,339
|
USD
|
2021-01-25
| 2.474368
| 2.704353
| 2.329601
| 2.365932
| 298,397,441
|
USD
|
2021-01-26
| 2.361183
| 2.675814
| 2.196482
| 2.673275
| 257,922,264
|
USD
|
2021-01-27
| 2.676149
| 2.702423
| 2.239331
| 2.519755
| 263,964,928
|
USD
|
2021-01-28
| 2.516988
| 3.34351
| 2.444966
| 3.123692
| 382,035,277
|
USD
|
2021-01-29
| 3.116039
| 3.457257
| 2.857812
| 3.361844
| 333,194,531
|
USD
|
2021-01-30
| 3.359806
| 4.647129
| 3.196784
| 4.597844
| 706,673,279
|
USD
|
2021-01-31
| 4.592985
| 5.498337
| 4.497742
| 4.949037
| 971,693,811
|
USD
|
2021-02-01
| 4.948834
| 5.250221
| 4.300279
| 5.016389
| 677,829,088
|
USD
|
2021-02-02
| 5.018033
| 5.066003
| 4.577429
| 4.676737
| 335,985,648
|
USD
|
2021-02-03
| 4.680246
| 5.23377
| 4.473912
| 5.026197
| 375,531,300
|
USD
|
2021-02-04
| 5.028562
| 5.925766
| 4.633775
| 5.577712
| 525,985,999
|
USD
|
2021-02-05
| 5.580189
| 6.308009
| 5.537894
| 5.830727
| 365,372,197
|
USD
|
2021-02-06
| 5.824744
| 5.933848
| 5.202963
| 5.248996
| 310,985,733
|
USD
|
2021-02-07
| 5.251165
| 5.297716
| 4.343334
| 4.960764
| 350,304,623
|
USD
|
2021-02-08
| 4.957148
| 5.47265
| 4.706563
| 5.344852
| 306,913,066
|
USD
|
2021-02-09
| 5.337631
| 5.342337
| 4.84768
| 5.103829
| 265,923,223
|
USD
|
2021-02-10
| 5.083246
| 5.418496
| 4.621569
| 4.900903
| 303,908,947
|
USD
|
2021-02-11
| 4.899176
| 5.845854
| 4.71815
| 5.644123
| 358,311,595
|
USD
|
2021-02-12
| 5.635379
| 5.754587
| 5.143051
| 5.285911
| 340,232,335
|
USD
|
2021-02-13
| 5.27611
| 5.997387
| 5.166696
| 5.709677
| 408,052,842
|
USD
|
2021-02-14
| 5.707148
| 6.24305
| 5.139567
| 5.287905
| 362,249,720
|
USD
|
2021-02-15
| 5.270541
| 5.498158
| 4.307358
| 4.949254
| 404,435,889
|
USD
|
2021-02-16
| 4.946544
| 5.161109
| 4.643222
| 4.749412
| 240,797,372
|
USD
|
2021-02-17
| 4.755242
| 5.059128
| 4.414468
| 4.848485
| 212,036,535
|
USD
|
2021-02-18
| 4.840294
| 5.165064
| 4.743771
| 4.783848
| 153,383,278
|
USD
|
2021-02-19
| 4.783643
| 4.836758
| 4.534246
| 4.611052
| 165,766,601
|
USD
|
2021-02-20
| 4.612148
| 5.847356
| 4.468525
| 5.175159
| 511,191,057
|
USD
|
2021-02-21
| 5.144817
| 5.449329
| 4.93456
| 5.065528
| 231,995,175
|
USD
|
2021-02-22
| 5.062132
| 5.071821
| 3.781613
| 4.545037
| 252,185,313
|
USD
|
2021-02-23
| 4.540317
| 4.551337
| 3.072573
| 3.641293
| 340,155,309
|
USD
|
2021-02-24
| 3.653369
| 4.146546
| 3.419602
| 3.638783
| 194,513,451
|
USD
|
2021-02-25
| 3.640844
| 4.620474
| 3.519091
| 3.913953
| 349,144,151
|
USD
|
2021-02-26
| 3.944419
| 5.123124
| 3.823302
| 4.497286
| 612,749,558
|
USD
|
2021-02-27
| 4.504512
| 4.849436
| 4.018991
| 4.164278
| 212,618,628
|
USD
|
2021-02-28
| 4.167555
| 4.167555
| 3.542373
| 3.829321
| 197,014,487
|
USD
|
2021-03-01
| 3.833229
| 4.184299
| 3.795442
| 4.116132
| 139,767,271
|
USD
|
2021-03-02
| 4.117959
| 4.347149
| 3.82279
| 4.007481
| 163,056,727
|
USD
|
2021-03-03
| 4.009788
| 4.307979
| 3.988578
| 4.085419
| 121,116,979
|
USD
|
2021-03-04
| 4.079507
| 4.234225
| 3.759074
| 3.835006
| 113,624,253
|
USD
|
2021-03-05
| 3.833191
| 3.843436
| 3.54008
| 3.742985
| 98,674,474
|
USD
|
2021-03-06
| 3.738195
| 3.855258
| 3.614573
| 3.849497
| 65,859,988
|
USD
|
2021-03-07
| 3.853324
| 4.082375
| 3.790054
| 3.982334
| 128,557,044
|
USD
|
2021-03-08
| 3.981679
| 4.456019
| 3.86347
| 4.317097
| 173,310,735
|
USD
|
2021-03-09
| 4.317314
| 4.546924
| 4.214827
| 4.439027
| 152,365,092
|
USD
|
2021-03-10
| 4.439529
| 4.511008
| 3.953468
| 4.01174
| 141,330,123
|
USD
|
2021-03-11
| 4.004893
| 4.137387
| 3.889224
| 3.995529
| 113,199,225
|
USD
|
2021-03-12
| 3.997688
| 4.134052
| 3.707215
| 3.803529
| 122,202,522
|
USD
|
2021-03-13
| 3.803047
| 4.178733
| 3.640556
| 4.104522
| 123,477,327
|
USD
|
2021-03-14
| 4.101464
| 4.21399
| 3.856932
| 3.856932
| 101,107,288
|
USD
|
2021-03-15
| 3.849552
| 4.352676
| 3.748451
| 3.959274
| 189,606,122
|
USD
|
2021-03-16
| 3.952829
| 4.623842
| 3.799039
| 4.542091
| 211,821,006
|
USD
|
2021-03-17
| 4.550381
| 4.993397
| 4.265408
| 4.98741
| 239,373,005
|
USD
|
2021-03-18
| 5.003088
| 5.08256
| 4.550352
| 4.582936
| 156,228,957
|
USD
|
2021-03-19
| 4.575448
| 5.242632
| 4.478245
| 4.915464
| 181,659,051
|
USD
|
2021-03-20
| 4.906065
| 5.198781
| 4.739798
| 4.743109
| 111,011,814
|
USD
|
2021-03-21
| 4.739999
| 4.817779
| 4.533406
| 4.673629
| 102,306,811
|
USD
|
2021-03-22
| 4.674596
| 4.840554
| 4.233624
| 4.315794
| 127,435,919
|
USD
|
2021-03-23
| 4.313684
| 4.460332
| 4.038687
| 4.105052
| 119,013,543
|
USD
|
2021-03-24
| 4.099549
| 4.338332
| 3.625844
| 3.734953
| 113,293,447
|
USD
|
2021-03-25
| 3.727503
| 3.860754
| 3.585562
| 3.678206
| 99,045,205
|
USD
|
2021-03-26
| 3.676565
| 4.030533
| 3.676565
| 4.005913
| 74,864,877
|
USD
|
2021-03-27
| 4.007836
| 4.063491
| 3.826562
| 3.995959
| 70,190,081
|
USD
|
2021-03-28
| 3.998173
| 4.223734
| 3.953069
| 4.088617
| 78,265,349
|
USD
|
2021-03-29
| 4.087469
| 4.616239
| 4.039314
| 4.591594
| 140,873,995
|
USD
|
2021-03-30
| 4.598204
| 4.67977
| 4.436863
| 4.506227
| 87,607,942
|
USD
|
2021-03-31
| 4.507826
| 4.552718
| 4.205397
| 4.334773
| 91,819,790
|
USD
|
2021-04-01
| 4.337721
| 4.509318
| 4.298949
| 4.450287
| 91,108,308
|
USD
|
2021-04-02
| 4.45283
| 4.695946
| 4.40922
| 4.688978
| 99,894,562
|
USD
|
2021-04-03
| 4.682929
| 4.792064
| 4.266658
| 4.267989
| 121,334,092
|
USD
|
End of preview.
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