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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 6 new columns ({'Low', 'Date', 'Adj.Close', 'Open', 'High', 'Volume'}) and 6 missing columns ({'close_last', 'open', 'volume', 'low', 'high', 'date'}).
This happened while the csv dataset builder was generating data using
hf://datasets/nateraw/airbnb-stock-price-new/Airbnb.csv (at revision 0ff369182bf7a0741f776cff044abdf354baa589)
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 2011, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, 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 2302, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
Date: string
Adj.Close: double
Volume: double
Open: double
High: double
Low: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 926
to
{'date': Value(dtype='string', id=None), 'close_last': Value(dtype='float64', id=None), 'volume': Value(dtype='int64', id=None), 'open': Value(dtype='float64', id=None), 'high': Value(dtype='float64', id=None), 'low': Value(dtype='float64', 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 1321, 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 935, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, 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 1882, 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 2013, 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 ({'Low', 'Date', 'Adj.Close', 'Open', 'High', 'Volume'}) and 6 missing columns ({'close_last', 'open', 'volume', 'low', 'high', 'date'}).
This happened while the csv dataset builder was generating data using
hf://datasets/nateraw/airbnb-stock-price-new/Airbnb.csv (at revision 0ff369182bf7a0741f776cff044abdf354baa589)
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 | close_last
float64 | volume
int64 | open
float64 | high
float64 | low
float64 |
|---|---|---|---|---|---|
08-19-2022
| 114.76
| 5,288,830
| 118.18
| 119.22
| 114.1
|
08-18-2022
| 121.27
| 3,373,946
| 121.5
| 122.2
| 120.28
|
08-17-2022
| 121.87
| 4,336,182
| 121.63
| 123.27
| 120.64
|
08-16-2022
| 124.18
| 4,371,514
| 124.23
| 125.42
| 122.62
|
08-15-2022
| 126.04
| 4,884,711
| 123.55
| 126.43
| 123.2
|
08-12-2022
| 124.51
| 5,012,478
| 122.8
| 125
| 121.12
|
08-11-2022
| 121.5
| 8,110,104
| 121.3
| 127.09
| 120.96
|
08-10-2022
| 118.73
| 5,529,014
| 119.33
| 120.34
| 116.3
|
08-09-2022
| 114.44
| 4,201,213
| 115
| 115.67
| 112.8
|
08-08-2022
| 115.82
| 5,382,935
| 118.16
| 119.64
| 115.43
|
08-05-2022
| 117.11
| 6,494,951
| 115.52
| 118.87
| 114.82
|
08-04-2022
| 119.22
| 9,180,317
| 114.31
| 119.24
| 114.26
|
08-03-2022
| 115.02
| 23,354,940
| 108.23
| 115.57
| 107.65
|
08-02-2022
| 116.34
| 15,208,220
| 111.67
| 117.78
| 111.1
|
08-01-2022
| 111.2
| 6,019,506
| 110
| 113.96
| 107.48
|
07-29-2022
| 110.98
| 4,637,779
| 108.2
| 111.16
| 107.11
|
07-28-2022
| 108.84
| 4,471,883
| 108.17
| 110.06
| 104.68
|
07-27-2022
| 107.36
| 5,362,726
| 105.79
| 107.99
| 104.06
|
07-26-2022
| 101.91
| 4,190,993
| 102.38
| 103.63
| 101.1
|
07-25-2022
| 104.95
| 3,142,931
| 103.78
| 105.26
| 101.48
|
07-22-2022
| 103.97
| 4,243,932
| 108.31
| 110.1
| 102.93
|
07-21-2022
| 108.14
| 4,284,851
| 106.98
| 108.5
| 104.41
|
07-20-2022
| 107.73
| 6,834,133
| 103.11
| 108.92
| 102.75
|
07-19-2022
| 102.2
| 5,603,808
| 99.7
| 102.71
| 98.76
|
07-18-2022
| 97.67
| 7,171,484
| 96.78
| 101.88
| 95.98
|
07-15-2022
| 94.66
| 7,497,187
| 92.55
| 95.65
| 90.66
|
07-14-2022
| 91.05
| 8,334,633
| 94.28
| 94.58
| 90.17
|
07-13-2022
| 95.64
| 6,967,800
| 93.75
| 96.59
| 91.61
|
07-12-2022
| 96.55
| 4,170,185
| 95.3
| 97.69
| 93.32
|
07-11-2022
| 95.1
| 6,043,682
| 96
| 97.09
| 93.27
|
07-08-2022
| 97.35
| 5,669,474
| 96.23
| 98.12
| 93.24
|
07-07-2022
| 97.5
| 7,480,538
| 93.66
| 97.55
| 92.16
|
07-06-2022
| 92.88
| 5,702,961
| 95.29
| 96.17
| 91.8
|
07-05-2022
| 95.94
| 7,653,996
| 88.88
| 96.01
| 86.75
|
07-01-2022
| 91.41
| 5,995,434
| 89.09
| 91.46
| 87.43
|
06-30-2022
| 89.08
| 9,007,783
| 92.49
| 92.91
| 86.71
|
06-29-2022
| 93.93
| 6,522,572
| 96.83
| 97
| 92.05
|
06-28-2022
| 97.53
| 7,747,662
| 103.34
| 105.45
| 97.09
|
06-27-2022
| 101.5
| 7,352,143
| 103.96
| 104.17
| 99.33
|
06-24-2022
| 103.51
| 28,797,400
| 97.52
| 104.18
| 96.33
|
06-23-2022
| 95.72
| 12,340,820
| 100
| 100.8
| 93.02
|
06-22-2022
| 99.53
| 8,986,027
| 99
| 102.5
| 98.72
|
06-21-2022
| 102.27
| 6,532,713
| 102.69
| 104.89
| 101.62
|
06-17-2022
| 99.49
| 11,293,110
| 93.53
| 100.61
| 93.53
|
06-16-2022
| 93.26
| 9,435,656
| 96.19
| 97.5
| 92.09
|
06-15-2022
| 101.47
| 6,260,439
| 100.02
| 103.65
| 98.92
|
06-14-2022
| 98.87
| 5,915,344
| 99.54
| 101.35
| 97.2
|
06-13-2022
| 98.93
| 9,587,311
| 102.85
| 105.33
| 98.36
|
06-10-2022
| 108.91
| 6,941,056
| 111.8
| 115.13
| 108.32
|
06-09-2022
| 115.72
| 5,315,873
| 122.31
| 122.98
| 115.42
|
06-08-2022
| 123.77
| 3,775,619
| 121.43
| 125.51
| 121.23
|
06-07-2022
| 122.9
| 3,331,236
| 119.76
| 123.91
| 119.12
|
06-06-2022
| 122.02
| 4,160,239
| 123.33
| 124.18
| 119.92
|
06-03-2022
| 119.83
| 4,584,611
| 118.07
| 121.5
| 117.56
|
06-02-2022
| 121.26
| 5,177,244
| 117.13
| 123
| 116.27
|
06-01-2022
| 116.72
| 6,879,606
| 121.05
| 121.07
| 114.4
|
05-31-2022
| 120.87
| 9,117,555
| 120.5
| 122.3
| 117.16
|
05-27-2022
| 120.5
| 7,391,500
| 116
| 120.7
| 115.77
|
05-26-2022
| 114.3
| 6,883,200
| 109.74
| 115.55
| 108.11
|
05-25-2022
| 110.4
| 6,203,324
| 105.89
| 111.94
| 104.97
|
05-24-2022
| 106.24
| 6,415,752
| 111.28
| 111.42
| 103.74
|
05-23-2022
| 113.28
| 6,000,751
| 113.55
| 115.15
| 110.93
|
05-20-2022
| 112.55
| 6,961,860
| 115.46
| 116.25
| 108.5
|
05-19-2022
| 114.17
| 8,926,616
| 108.18
| 116.35
| 107.45
|
05-18-2022
| 108.03
| 9,718,744
| 116.11
| 117.04
| 107.62
|
05-17-2022
| 117.5
| 6,962,904
| 119.97
| 120.18
| 114.51
|
05-16-2022
| 114.44
| 7,588,370
| 121
| 121.07
| 113.25
|
05-13-2022
| 121.45
| 8,595,379
| 119.96
| 123.29
| 118.82
|
05-12-2022
| 115.94
| 9,264,303
| 113.66
| 120.49
| 111.22
|
05-11-2022
| 116.15
| 13,661,360
| 114.53
| 123.77
| 112.37
|
05-10-2022
| 116.13
| 13,638,470
| 122.95
| 123.46
| 113.53
|
05-09-2022
| 119.37
| 14,430,890
| 131.76
| 131.89
| 118.83
|
05-06-2022
| 135.84
| 9,573,058
| 142.7
| 143.11
| 133.04
|
05-05-2022
| 143.09
| 11,367,230
| 152.19
| 153.88
| 140.86
|
05-04-2022
| 156.18
| 20,598,070
| 152.55
| 158.74
| 145.87
|
05-03-2022
| 145
| 16,774,660
| 154.09
| 154.49
| 141.58
|
05-02-2022
| 152.78
| 5,945,287
| 153.21
| 155.13
| 147.21
|
04-29-2022
| 153.21
| 4,033,057
| 158.88
| 163.24
| 153
|
04-28-2022
| 159.74
| 4,854,490
| 154.01
| 161.26
| 153.66
|
04-27-2022
| 152.23
| 4,825,954
| 153.82
| 157.3
| 150.44
|
04-26-2022
| 153.04
| 4,075,004
| 158.4
| 159.2
| 152.8
|
04-25-2022
| 158.39
| 3,868,115
| 154.33
| 159.79
| 152.1
|
04-22-2022
| 156.09
| 3,863,419
| 157.84
| 161.67
| 154.78
|
04-21-2022
| 157.91
| 4,714,572
| 168.98
| 170.93
| 156.68
|
04-20-2022
| 164.55
| 3,997,912
| 172.61
| 172.61
| 164.31
|
04-19-2022
| 170.12
| 2,857,124
| 165.74
| 170.82
| 165.71
|
04-18-2022
| 165.74
| 3,339,887
| 169.27
| 170.12
| 164.35
|
04-14-2022
| 170.7
| 5,125,142
| 171.66
| 174.64
| 170.3
|
04-13-2022
| 171.85
| 7,211,893
| 160.84
| 172.96
| 160.65
|
04-12-2022
| 160.11
| 4,113,036
| 163.7
| 166.11
| 157.28
|
04-11-2022
| 160.25
| 3,877,215
| 159.84
| 163.57
| 157.41
|
04-08-2022
| 162.56
| 3,448,377
| 162.52
| 164.9
| 159.35
|
04-07-2022
| 165.91
| 4,146,557
| 163.19
| 167.86
| 161.71
|
04-06-2022
| 164.66
| 4,287,691
| 167.05
| 168.77
| 161.58
|
04-05-2022
| 171.21
| 4,064,959
| 177.19
| 179.09
| 170.12
|
04-04-2022
| 177.02
| 3,500,522
| 175.02
| 177.02
| 172.59
|
04-01-2022
| 173.07
| 3,644,935
| 173.06
| 177.94
| 172.23
|
03-31-2022
| 171.76
| 3,232,222
| 173.54
| 176.15
| 171.16
|
03-30-2022
| 173.63
| 3,707,406
| 173.13
| 176.82
| 172.02
|
03-29-2022
| 175.52
| 5,452,762
| 172.11
| 178.88
| 171.81
|
End of preview.