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 10 new columns ({'robbery_crime_rate', 'motor_vehicle_theft_crime_rate', 'murder_and_nonnegligent_manslaughter_crime_rate', 'larceny-_theft_crime_rate', 'violent_crime_rate', 'burglary_rate', 'arson1_crime_rate', 'rape_crime_rate', 'aggravated_assault_crime_rate', 'property_crime_rate'})
This happened while the csv dataset builder was generating data using
hf://datasets/jz9981/us_city_crime_data_2024/crime_rate.csv (at revision 379c0a51863988669710e53de53cd518f86fddbf)
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
state: string
city: string
population: double
violent_crime: double
murder_and_nonnegligent_manslaughter: double
rape: double
robbery: double
aggravated_assault: double
property_crime: double
burglary: double
larceny-_theft: double
motor_vehicle_theft: double
arson1: double
lat: double
lon: double
violent_crime_rate: double
murder_and_nonnegligent_manslaughter_crime_rate: double
rape_crime_rate: double
robbery_crime_rate: double
aggravated_assault_crime_rate: double
larceny-_theft_crime_rate: double
burglary_rate: double
motor_vehicle_theft_crime_rate: double
arson1_crime_rate: double
property_crime_rate: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 3575
to
{'state': Value('string'), 'city': Value('string'), 'population': Value('float64'), 'violent_crime': Value('float64'), 'murder_and_nonnegligent_manslaughter': Value('float64'), 'rape': Value('float64'), 'robbery': Value('float64'), 'aggravated_assault': Value('float64'), 'property_crime': Value('float64'), 'burglary': Value('float64'), 'larceny-_theft': Value('float64'), 'motor_vehicle_theft': Value('float64'), 'arson1': Value('float64'), 'lat': Value('float64'), 'lon': Value('float64')}
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 10 new columns ({'robbery_crime_rate', 'motor_vehicle_theft_crime_rate', 'murder_and_nonnegligent_manslaughter_crime_rate', 'larceny-_theft_crime_rate', 'violent_crime_rate', 'burglary_rate', 'arson1_crime_rate', 'rape_crime_rate', 'aggravated_assault_crime_rate', 'property_crime_rate'})
This happened while the csv dataset builder was generating data using
hf://datasets/jz9981/us_city_crime_data_2024/crime_rate.csv (at revision 379c0a51863988669710e53de53cd518f86fddbf)
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.
state
string | city
string | population
float64 | violent_crime
float64 | murder_and_nonnegligent_manslaughter
float64 | rape
float64 | robbery
float64 | aggravated_assault
float64 | property_crime
float64 | burglary
float64 | larceny-_theft
float64 | motor_vehicle_theft
float64 | arson1
float64 | lat
float64 | lon
float64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
ALABAMA
|
Abbeville
| 2,386
| 11
| 0
| 2
| 1
| 8
| 35
| 9
| 25
| 1
| 0
| -3
| 77
|
ALABAMA
|
Adamsville
| 4,111
| 23
| 1
| 1
| 0
| 21
| 130
| 12
| 97
| 21
| 2
| 55
| 64
|
ALABAMA
|
Addison
| 669
| 3
| 0
| 0
| 0
| 3
| 13
| 4
| 7
| 2
| 0
| 65
| -25
|
ALABAMA
|
Alabaster
| 34,349
| 34
| 0
| 1
| 4
| 29
| 519
| 17
| 480
| 22
| 0
| -57
| -28
|
ALABAMA
|
Albertville
| 23,242
| 55
| 1
| 14
| 3
| 37
| 409
| 65
| 299
| 45
| 2
| 72
| 21
|
ALABAMA
|
Alexander City
| 14,353
| 147
| 4
| 7
| 11
| 125
| 515
| 91
| 398
| 26
| 5
| -5
| -34
|
ALABAMA
|
Aliceville
| 2,019
| 4
| 0
| 0
| 0
| 4
| 11
| 1
| 10
| 0
| 0
| -65
| 24
|
ALABAMA
|
Andalusia
| 8,838
| 59
| 0
| 7
| 3
| 49
| 324
| 53
| 244
| 27
| 3
| -26
| -166
|
ALABAMA
|
Anniston
| 21,052
| 178
| 4
| 16
| 18
| 140
| 919
| 214
| 612
| 93
| 5
| 61
| -169
|
ALABAMA
|
Arab
| 8,960
| 23
| 0
| 6
| 1
| 16
| 318
| 74
| 212
| 32
| 1
| -54
| 87
|
ALABAMA
|
Ardmore
| 1,451
| 2
| 0
| 1
| 0
| 1
| 20
| 4
| 15
| 1
| 0
| -89
| -109
|
ALABAMA
|
Argo
| 4,388
| 5
| 0
| 0
| 0
| 5
| 15
| 4
| 7
| 4
| 0
| -88
| -34
|
ALABAMA
|
Arley
| 330
| 0
| 0
| 0
| 0
| 0
| 8
| 2
| 6
| 0
| 0
| 42
| 76
|
ALABAMA
|
Ashford
| 2,357
| 2
| 0
| 0
| 0
| 2
| 11
| 0
| 11
| 0
| 0
| -12
| -143
|
ALABAMA
|
Ashland
| 1,928
| 15
| 0
| 0
| 0
| 15
| 46
| 7
| 36
| 3
| 0
| -21
| -111
|
ALABAMA
|
Ashville
| 2,417
| 12
| 0
| 0
| 2
| 10
| 69
| 17
| 43
| 9
| 0
| -46
| 55
|
ALABAMA
|
Athens
| 32,862
| 80
| 2
| 3
| 6
| 69
| 680
| 91
| 531
| 58
| 1
| -83
| 168
|
ALABAMA
|
Atmore
| 8,294
| 113
| 4
| 9
| 11
| 89
| 298
| 38
| 240
| 20
| 2
| 2
| 105
|
ALABAMA
|
Attalla
| 5,813
| 20
| 0
| 1
| 1
| 18
| 210
| 24
| 170
| 16
| 0
| 69
| -85
|
ALABAMA
|
Auburn
| 83,756
| 90
| 0
| 16
| 8
| 66
| 820
| 33
| 730
| 57
| 1
| -23
| 84
|
ALABAMA
|
Bay Minette
| 8,456
| 35
| 2
| 2
| 3
| 28
| 138
| 13
| 115
| 10
| 0
| 10
| -11
|
ALABAMA
|
Bayou La Batre
| 2,142
| 19
| 0
| 1
| 0
| 18
| 137
| 32
| 92
| 13
| 1
| 26
| 86
|
ALABAMA
|
Bear Creek
| 1,062
| 11
| 0
| 1
| 0
| 10
| 24
| 4
| 8
| 12
| 0
| 17
| -3
|
ALABAMA
|
Berry
| 1,183
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| -61
| -109
|
ALABAMA
|
Bessemer
| 24,720
| 431
| 11
| 15
| 40
| 365
| 1,761
| 284
| 1,252
| 225
| 8
| 49
| 170
|
ALABAMA
|
Birmingham
| 195,418
| 2,436
| 115
| 29
| 393
| 1,899
| 7,878
| 1,426
| 4,873
| 1,579
| 103
| -3
| 175
|
ALABAMA
|
Blountsville
| 1,816
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 62
| -66
|
ALABAMA
|
Brent
| 2,586
| 9
| 0
| 2
| 0
| 7
| 80
| 13
| 62
| 5
| 0
| -70
| -64
|
ALABAMA
|
Brewton
| 5,139
| 28
| 0
| 3
| 1
| 24
| 207
| 13
| 176
| 18
| 1
| 66
| 126
|
ALABAMA
|
Bridgeport
| 2,262
| 7
| 0
| 2
| 1
| 4
| 24
| 5
| 13
| 6
| 1
| 35
| 116
|
ALABAMA
|
Brighton
| 2,207
| 47
| 5
| 1
| 4
| 37
| 52
| 13
| 27
| 12
| 1
| 8
| 4
|
ALABAMA
|
Brilliant
| 829
| 0
| 0
| 0
| 0
| 0
| 8
| 6
| 2
| 0
| 0
| -2
| -63
|
ALABAMA
|
Brookside
| 1,185
| 5
| 0
| 0
| 1
| 4
| 26
| 6
| 13
| 7
| 0
| 1
| 0
|
ALABAMA
|
Brookwood
| 2,420
| 11
| 0
| 0
| 1
| 10
| 24
| 3
| 16
| 5
| 0
| -77
| 171
|
ALABAMA
|
Brundidge
| 2,016
| 23
| 0
| 1
| 0
| 22
| 87
| 15
| 63
| 9
| 0
| 81
| -51
|
ALABAMA
|
Butler
| 1,737
| 5
| 0
| 0
| 0
| 5
| 34
| 6
| 24
| 4
| 0
| 39
| 12
|
ALABAMA
|
Calera
| 18,747
| 44
| 0
| 4
| 1
| 39
| 249
| 42
| 184
| 23
| 0
| 55
| -180
|
ALABAMA
|
Camden
| 1,667
| 3
| 0
| 0
| 1
| 2
| 13
| 3
| 8
| 2
| 0
| -17
| -102
|
ALABAMA
|
Carbon Hill
| 1,723
| 0
| 0
| 0
| 0
| 0
| 5
| 2
| 2
| 1
| 1
| 68
| 175
|
ALABAMA
|
Carrollton
| 965
| 4
| 0
| 0
| 0
| 4
| 4
| 1
| 3
| 0
| 0
| -44
| -59
|
ALABAMA
|
Cedar Bluff
| 1,918
| 8
| 0
| 1
| 0
| 7
| 17
| 1
| 14
| 2
| 0
| -7
| -102
|
ALABAMA
|
Centre
| 3,845
| 15
| 0
| 5
| 0
| 10
| 129
| 19
| 101
| 9
| 0
| 65
| -132
|
ALABAMA
|
Centreville
| 2,673
| 10
| 0
| 1
| 0
| 9
| 32
| 6
| 22
| 4
| 1
| 29
| 24
|
ALABAMA
|
Chatom
| 1,060
| 0
| 0
| 0
| 0
| 0
| 9
| 1
| 8
| 0
| 0
| -2
| -61
|
ALABAMA
|
Cherokee
| 964
| 0
| 0
| 0
| 0
| 0
| 18
| 3
| 13
| 2
| 1
| -36
| -17
|
ALABAMA
|
Chickasaw
| 6,226
| 27
| 1
| 0
| 2
| 24
| 134
| 21
| 97
| 16
| 1
| 53
| 101
|
ALABAMA
|
Childersburg
| 4,601
| 35
| 0
| 4
| 1
| 30
| 120
| 23
| 86
| 11
| 0
| 26
| -59
|
ALABAMA
|
Citronelle
| 3,902
| 3
| 0
| 0
| 1
| 2
| 31
| 5
| 24
| 2
| 0
| 49
| 122
|
ALABAMA
|
Clanton
| 9,250
| 29
| 0
| 2
| 3
| 24
| 306
| 16
| 278
| 12
| 0
| 72
| 77
|
ALABAMA
|
Clayton
| 2,197
| 9
| 0
| 0
| 0
| 9
| 20
| 5
| 15
| 0
| 1
| 6
| 161
|
ALABAMA
|
Clio
| 1,194
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 17
| 113
|
ALABAMA
|
Coaling
| 1,970
| 3
| 0
| 1
| 0
| 2
| 17
| 4
| 12
| 1
| 0
| -85
| 50
|
ALABAMA
|
Coffeeville
| 247
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 52
| -134
|
ALABAMA
|
Collinsville
| 2,067
| 3
| 0
| 0
| 0
| 3
| 22
| 0
| 19
| 3
| 0
| 44
| 136
|
ALABAMA
|
Columbia
| 703
| 0
| 0
| 0
| 0
| 0
| 5
| 0
| 5
| 0
| 0
| -28
| -174
|
ALABAMA
|
Columbiana
| 4,913
| 7
| 1
| 2
| 0
| 4
| 51
| 7
| 42
| 2
| 0
| -57
| 167
|
ALABAMA
|
Coosada
| 1,282
| 4
| 0
| 0
| 0
| 4
| 8
| 2
| 4
| 2
| 0
| -17
| -162
|
ALABAMA
|
Cordova
| 1,656
| 8
| 0
| 0
| 1
| 7
| 51
| 4
| 38
| 9
| 0
| -73
| -9
|
ALABAMA
|
Cottonwood
| 1,097
| 3
| 0
| 0
| 0
| 3
| 13
| 3
| 10
| 0
| 0
| 0
| 82
|
ALABAMA
|
Creola
| 1,977
| 5
| 0
| 1
| 2
| 2
| 11
| 1
| 6
| 4
| 0
| -54
| -139
|
ALABAMA
|
Cullman
| 20,433
| 44
| 3
| 6
| 2
| 33
| 504
| 36
| 436
| 32
| 0
| 21
| 177
|
ALABAMA
|
Dadeville
| 2,922
| 17
| 0
| 0
| 1
| 16
| 50
| 5
| 42
| 3
| 0
| 47
| -81
|
ALABAMA
|
Daphne
| 31,256
| 17
| 0
| 4
| 2
| 11
| 264
| 14
| 235
| 15
| 0
| 6
| 109
|
ALABAMA
|
Dauphin Island
| 1,932
| 2
| 0
| 1
| 1
| 0
| 27
| 5
| 20
| 2
| 0
| 5
| 42
|
ALABAMA
|
Decatur
| 58,514
| 355
| 5
| 32
| 26
| 292
| 1,351
| 113
| 1,073
| 165
| 112
| -1
| 71
|
ALABAMA
|
Demopolis
| 6,733
| 65
| 1
| 5
| 5
| 54
| 183
| 29
| 145
| 9
| 3
| 27
| -8
|
ALABAMA
|
Dora
| 2,244
| 5
| 0
| 0
| 0
| 5
| 53
| 9
| 34
| 10
| 1
| -13
| -34
|
ALABAMA
|
Dothan
| 71,318
| 651
| 5
| 49
| 38
| 559
| 1,972
| 260
| 1,618
| 94
| 17
| -2
| -54
|
ALABAMA
|
Double Springs
| 1,115
| 1
| 0
| 0
| 0
| 1
| 19
| 4
| 12
| 3
| 0
| -66
| -27
|
ALABAMA
|
Douglas
| 789
| 2
| 0
| 0
| 0
| 2
| 12
| 3
| 9
| 0
| 1
| 6
| -126
|
ALABAMA
|
East Brewton
| 2,239
| 4
| 0
| 1
| 0
| 3
| 57
| 7
| 44
| 6
| 0
| -23
| 157
|
ALABAMA
|
Eclectic
| 1,214
| 2
| 0
| 0
| 0
| 2
| 20
| 5
| 14
| 1
| 0
| 62
| 122
|
ALABAMA
|
Elba
| 3,547
| 16
| 2
| 1
| 3
| 10
| 108
| 20
| 78
| 10
| 1
| -68
| 59
|
ALABAMA
|
Elberta
| 2,145
| 11
| 0
| 0
| 1
| 10
| 64
| 10
| 52
| 2
| 0
| 67
| -114
|
ALABAMA
|
Enterprise
| 30,766
| 192
| 1
| 16
| 5
| 170
| 732
| 109
| 577
| 46
| 3
| -45
| -65
|
ALABAMA
|
Eufaula
| 12,314
| 89
| 7
| 5
| 10
| 67
| 317
| 59
| 225
| 33
| 4
| 14
| 47
|
ALABAMA
|
Eutaw
| 2,710
| 16
| 0
| 0
| 2
| 14
| 75
| 20
| 47
| 8
| 0
| -70
| 70
|
ALABAMA
|
Excel
| 524
| 8
| 0
| 3
| 0
| 5
| 24
| 5
| 16
| 3
| 1
| -1
| 164
|
ALABAMA
|
Fairhope
| 25,782
| 28
| 0
| 6
| 4
| 18
| 297
| 21
| 267
| 9
| 1
| -44
| -13
|
ALABAMA
|
Falkville
| 1,198
| 2
| 0
| 0
| 0
| 2
| 11
| 0
| 8
| 3
| 0
| -23
| 28
|
ALABAMA
|
Fayette
| 4,079
| 6
| 0
| 1
| 2
| 3
| 53
| 15
| 36
| 2
| 0
| 47
| -70
|
ALABAMA
|
Flomaton
| 1,448
| 16
| 1
| 0
| 1
| 14
| 34
| 4
| 27
| 3
| 0
| -4
| 12
|
ALABAMA
|
Florence
| 43,076
| 271
| 0
| 16
| 9
| 246
| 869
| 100
| 698
| 71
| 2
| 34
| -112
|
ALABAMA
|
Foley
| 26,424
| 51
| 1
| 0
| 7
| 43
| 404
| 31
| 340
| 33
| 0
| 86
| 108
|
ALABAMA
|
Fort Payne
| 14,984
| 24
| 0
| 3
| 0
| 21
| 242
| 43
| 179
| 20
| 0
| 24
| 77
|
ALABAMA
|
Frisco City
| 1,110
| 5
| 1
| 0
| 0
| 4
| 4
| 2
| 2
| 0
| 0
| -26
| 9
|
ALABAMA
|
Fultondale
| 9,533
| 28
| 0
| 5
| 6
| 17
| 259
| 63
| 171
| 25
| 1
| -71
| 16
|
ALABAMA
|
Fyffe
| 983
| 0
| 0
| 0
| 0
| 0
| 5
| 0
| 3
| 2
| 0
| -13
| -172
|
ALABAMA
|
Gadsden
| 33,015
| 192
| 4
| 4
| 16
| 168
| 851
| 97
| 682
| 72
| 4
| 85
| 31
|
ALABAMA
|
Gantt
| 204
| 2
| 1
| 0
| 0
| 1
| 6
| 1
| 5
| 0
| 0
| -5
| 127
|
ALABAMA
|
Gardendale
| 16,131
| 31
| 0
| 0
| 1
| 30
| 257
| 19
| 211
| 27
| 2
| 70
| -58
|
ALABAMA
|
Georgiana
| 1,257
| 3
| 0
| 0
| 0
| 3
| 22
| 4
| 17
| 1
| 0
| 22
| 58
|
ALABAMA
|
Geraldine
| 914
| 2
| 0
| 0
| 0
| 2
| 14
| 4
| 10
| 0
| 0
| -86
| 62
|
ALABAMA
|
Gilbertown
| 707
| 2
| 0
| 0
| 0
| 2
| 6
| 2
| 3
| 1
| 0
| -28
| -58
|
ALABAMA
|
Goodwater
| 1,245
| 2
| 0
| 0
| 0
| 2
| 14
| 2
| 8
| 4
| 0
| -85
| 146
|
ALABAMA
|
Gordon
| 298
| 1
| 0
| 0
| 0
| 1
| 5
| 1
| 4
| 0
| 0
| 85
| -65
|
ALABAMA
|
Grant
| 1,063
| 2
| 0
| 0
| 0
| 2
| 33
| 7
| 20
| 6
| 0
| -9
| 23
|
ALABAMA
|
Greenville
| 6,923
| 40
| 0
| 1
| 5
| 34
| 266
| 39
| 199
| 28
| 0
| -11
| 122
|
ALABAMA
|
Grove Hill
| 1,719
| 3
| 0
| 0
| 1
| 2
| 20
| 6
| 12
| 2
| 0
| 20
| -47
|
ALABAMA
|
Guin
| 2,134
| 9
| 1
| 0
| 1
| 7
| 40
| 8
| 27
| 5
| 0
| 59
| -41
|
End of preview.
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