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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 5 new columns ({'0.05341700', '250.51985413', '69180', '1504224060493', '4689.89000000'}) and 5 missing columns ({'426.14800000', '0', '4261.48000000', '0.10000000', '1502942428322'}).
This happened while the csv dataset builder was generating data using
hf://datasets/amphora/iti-btc/BTCUSDT_spot_2017_2024_trades/BTCUSDT-trades-2017-09.csv (at revision 278cad19270418a94d01a867271a5c4f70a70a01)
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
69180: int64
4689.89000000: double
0.05341700: double
250.51985413: double
1504224060493: int64
True: bool
True.1: bool
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1076
to
{'0': Value(dtype='int64', id=None), '4261.48000000': Value(dtype='float64', id=None), '0.10000000': Value(dtype='float64', id=None), '426.14800000': Value(dtype='float64', id=None), '1502942428322': Value(dtype='int64', id=None), 'True': Value(dtype='bool', id=None), 'True.1': Value(dtype='bool', 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 1412, 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 988, in stream_convert_to_parquet
builder._prepare_split(
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 5 new columns ({'0.05341700', '250.51985413', '69180', '1504224060493', '4689.89000000'}) and 5 missing columns ({'426.14800000', '0', '4261.48000000', '0.10000000', '1502942428322'}).
This happened while the csv dataset builder was generating data using
hf://datasets/amphora/iti-btc/BTCUSDT_spot_2017_2024_trades/BTCUSDT-trades-2017-09.csv (at revision 278cad19270418a94d01a867271a5c4f70a70a01)
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.
0
int64 | 4261.48000000
float64 | 0.10000000
float64 | 426.14800000
float64 | 1502942428322
int64 | True
bool | True.1
bool |
|---|---|---|---|---|---|---|
1
| 4,261.48
| 1.6
| 6,818.368
| 1,502,942,432,285
| true
| true
|
2
| 4,261.48
| 0.075183
| 320.390851
| 1,502,942,432,322
| false
| true
|
3
| 4,280.56
| 0.0296
| 126.704576
| 1,502,942,568,879
| false
| true
|
4
| 4,280.56
| 0.231474
| 990.838345
| 1,502,942,568,887
| false
| true
|
5
| 4,261.48
| 0.000234
| 0.997186
| 1,502,942,628,038
| false
| true
|
6
| 4,261.48
| 0.002113
| 9.004507
| 1,502,942,628,046
| false
| true
|
7
| 4,261.48
| 0.009661
| 41.170158
| 1,502,942,637,667
| false
| true
|
8
| 4,261.48
| 0.140796
| 599.999338
| 1,502,942,647,778
| false
| true
|
9
| 4,261.48
| 0.05976
| 254.666045
| 1,502,943,468,063
| false
| true
|
10
| 4,264.88
| 0.015695
| 66.937292
| 1,502,943,468,063
| false
| true
|
11
| 4,261.48
| 0.007015
| 29.894282
| 1,502,943,540,055
| false
| true
|
12
| 4,261.48
| 0.002985
| 12.720518
| 1,502,943,545,980
| false
| true
|
13
| 4,261.48
| 0.126654
| 539.733488
| 1,502,943,578,118
| true
| true
|
14
| 4,261.48
| 0.002985
| 12.720518
| 1,502,943,578,118
| true
| true
|
15
| 4,261.48
| 0.116573
| 496.773508
| 1,502,943,578,126
| true
| true
|
16
| 4,261.48
| 0.002985
| 12.720518
| 1,502,943,578,126
| true
| true
|
17
| 4,261.48
| 0.150014
| 639.281661
| 1,502,943,578,132
| true
| true
|
18
| 4,264.88
| 0.434306
| 1,852.262973
| 1,502,943,600,073
| false
| true
|
19
| 4,264.88
| 0.073985
| 315.537147
| 1,502,943,600,073
| false
| true
|
20
| 4,264.88
| 0.434306
| 1,852.262973
| 1,502,943,600,081
| false
| true
|
21
| 4,264.88
| 0.023767
| 101.363403
| 1,502,943,600,081
| false
| true
|
22
| 4,264.88
| 0.434306
| 1,852.262973
| 1,502,943,600,089
| false
| true
|
23
| 4,264.88
| 0.082344
| 351.187279
| 1,502,943,600,089
| false
| true
|
24
| 4,264.88
| 0.65146
| 2,778.398725
| 1,502,943,668,410
| true
| true
|
25
| 4,264.88
| 0.062749
| 267.616955
| 1,502,943,668,419
| true
| true
|
26
| 4,264.88
| 0.06787
| 289.457406
| 1,502,943,668,427
| true
| true
|
27
| 4,266.29
| 0.020337
| 86.76354
| 1,502,943,673,349
| false
| true
|
28
| 4,266.29
| 0.04314
| 184.047751
| 1,502,943,673,356
| false
| true
|
29
| 4,266.29
| 0.058891
| 251.246084
| 1,502,943,922,234
| false
| true
|
30
| 4,266.29
| 0.057313
| 244.513879
| 1,502,943,922,244
| false
| true
|
31
| 4,266.29
| 0.080076
| 341.627438
| 1,502,943,922,252
| false
| true
|
32
| 4,266.29
| 0.030243
| 129.025408
| 1,502,943,933,286
| false
| true
|
33
| 4,266.29
| 0.079077
| 337.365414
| 1,502,943,948,601
| true
| true
|
34
| 4,266.29
| 0.161835
| 690.435042
| 1,502,943,948,601
| true
| true
|
35
| 4,266.29
| 0.04113
| 175.472508
| 1,502,944,046,790
| false
| true
|
36
| 4,266.29
| 0.238966
| 1,019.498256
| 1,502,944,046,802
| false
| true
|
37
| 4,266.29
| 0.125417
| 535.065293
| 1,502,944,046,810
| false
| true
|
38
| 4,266.29
| 0.028599
| 122.011628
| 1,502,944,104,040
| false
| true
|
39
| 4,266.29
| 0.05508
| 234.987253
| 1,502,944,104,048
| false
| true
|
40
| 4,261.32
| 1.780001
| 7,585.153861
| 1,502,944,119,149
| true
| true
|
41
| 4,266.29
| 0.181561
| 774.591879
| 1,502,944,120,893
| false
| true
|
42
| 4,266.29
| 0.14844
| 633.288088
| 1,502,944,120,893
| false
| true
|
43
| 4,266.29
| 0.099921
| 426.291963
| 1,502,944,123,014
| false
| true
|
44
| 4,266.29
| 0.298588
| 1,273.862999
| 1,502,944,123,014
| false
| true
|
45
| 4,266.29
| 0.370942
| 1,582.546145
| 1,502,944,123,014
| false
| true
|
46
| 4,270.41
| 0.090549
| 386.681355
| 1,502,944,151,558
| true
| true
|
47
| 4,267.47
| 1.43
| 6,102.4821
| 1,502,944,159,766
| true
| true
|
48
| 4,261.45
| 0.95
| 4,048.3775
| 1,502,944,193,911
| true
| true
|
49
| 4,280
| 0.04517
| 193.3276
| 1,502,944,224,045
| false
| true
|
50
| 4,280.56
| 0.148926
| 637.486679
| 1,502,944,224,045
| false
| true
|
51
| 4,280.56
| 0.019889
| 85.136058
| 1,502,944,224,045
| false
| true
|
52
| 4,280.56
| 0.15975
| 683.81946
| 1,502,944,224,053
| false
| true
|
53
| 4,280.56
| 0.034346
| 147.020114
| 1,502,944,224,061
| false
| true
|
54
| 4,280.56
| 0.15975
| 683.81946
| 1,502,944,224,061
| false
| true
|
55
| 4,280.56
| 0.02137
| 91.475567
| 1,502,944,224,061
| false
| true
|
56
| 4,274.67
| 0.930001
| 3,975.447375
| 1,502,944,259,894
| false
| true
|
57
| 4,280
| 0.177521
| 759.78988
| 1,502,944,259,894
| false
| true
|
58
| 4,274.67
| 0.459109
| 1,962.539469
| 1,502,944,308,045
| false
| true
|
59
| 4,274.67
| 0.016355
| 69.912228
| 1,502,944,327,524
| false
| true
|
60
| 4,274.67
| 0.038686
| 165.369884
| 1,502,944,368,048
| false
| true
|
61
| 4,274.67
| 0.145716
| 622.887814
| 1,502,944,368,056
| false
| true
|
62
| 4,274.67
| 0.23947
| 1,023.655225
| 1,502,944,368,063
| false
| true
|
63
| 4,274.67
| 0.261821
| 1,119.198374
| 1,502,944,371,641
| false
| true
|
64
| 4,267.99
| 4.127747
| 17,617.182919
| 1,502,944,380,057
| false
| true
|
65
| 4,296.63
| 0.352639
| 1,515.159307
| 1,502,944,488,039
| false
| true
|
66
| 4,296.63
| 0.037362
| 160.53069
| 1,502,944,488,046
| false
| true
|
67
| 4,296.63
| 0.352639
| 1,515.159307
| 1,502,944,488,046
| false
| true
|
68
| 4,296.63
| 0.145424
| 624.833121
| 1,502,944,488,046
| false
| true
|
69
| 4,296.63
| 0.031722
| 136.297697
| 1,502,944,493,626
| true
| true
|
70
| 4,296.63
| 0.013229
| 56.840118
| 1,502,944,493,633
| true
| true
|
71
| 4,296.63
| 0.019491
| 83.745615
| 1,502,944,493,640
| true
| true
|
72
| 4,300.38
| 0.044657
| 192.04207
| 1,502,944,524,045
| false
| true
|
73
| 4,300.38
| 0.425958
| 1,831.781264
| 1,502,944,528,180
| false
| true
|
74
| 4,300.38
| 0.418008
| 1,797.593243
| 1,502,944,528,188
| false
| true
|
75
| 4,300.38
| 0.149595
| 643.315346
| 1,502,944,528,194
| false
| true
|
76
| 4,300.38
| 0.355529
| 1,528.909801
| 1,502,944,620,047
| false
| true
|
77
| 4,300.38
| 0.291761
| 1,254.683169
| 1,502,944,623,797
| false
| true
|
78
| 4,300.38
| 0.134493
| 578.371007
| 1,502,944,728,039
| false
| true
|
79
| 4,300.38
| 0.495555
| 2,131.074811
| 1,502,944,728,039
| false
| true
|
80
| 4,300.38
| 0.398902
| 1,715.430183
| 1,502,944,772,020
| false
| true
|
81
| 4,300.38
| 1.360826
| 5,852.068914
| 1,502,944,772,027
| false
| true
|
82
| 4,300.38
| 0.584737
| 2,514.5913
| 1,502,944,772,034
| false
| true
|
83
| 4,300.38
| 0.324723
| 1,396.432295
| 1,502,944,788,049
| false
| true
|
84
| 4,300.38
| 0.156363
| 672.420318
| 1,502,944,788,058
| false
| true
|
85
| 4,300.38
| 0.485489
| 2,087.787186
| 1,502,944,788,064
| false
| true
|
86
| 4,300.38
| 0.687375
| 2,955.973703
| 1,502,944,816,170
| false
| true
|
87
| 4,300.38
| 0.499041
| 2,146.065936
| 1,502,944,816,180
| false
| true
|
88
| 4,300.38
| 0.245024
| 1,053.696309
| 1,502,944,848,047
| false
| true
|
89
| 4,300.38
| 0.297274
| 1,278.391164
| 1,502,944,848,055
| false
| true
|
90
| 4,300.38
| 0.398697
| 1,714.548605
| 1,502,944,892,610
| true
| true
|
91
| 4,300.38
| 0.418227
| 1,798.535026
| 1,502,944,892,610
| true
| true
|
92
| 4,300.38
| 0.12842
| 552.2548
| 1,502,944,892,610
| true
| true
|
93
| 4,300.38
| 0.168855
| 726.140665
| 1,502,944,944,047
| false
| true
|
94
| 4,300.38
| 0.155801
| 670.003504
| 1,502,944,944,055
| false
| true
|
95
| 4,300.38
| 0.019799
| 85.143224
| 1,502,944,944,055
| false
| true
|
96
| 4,300.38
| 0.149056
| 640.997441
| 1,502,944,944,065
| false
| true
|
97
| 4,300.38
| 0.131473
| 565.38386
| 1,502,944,944,065
| false
| true
|
98
| 4,300.38
| 0.000967
| 4.158467
| 1,502,944,985,183
| true
| true
|
99
| 4,300.38
| 0.258358
| 1,111.037576
| 1,502,944,985,191
| true
| true
|
100
| 4,300.38
| 0.233124
| 1,002.521787
| 1,502,944,985,198
| true
| true
|
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