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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 ({'expected_departure', 'expected_arrival', 'route_id', 'src', 'dst'}) and 8 missing columns ({'passenger_id', 'membership_start', 'birthday', 'children', 'gender', 'age', 'name', 'is_married'}).

This happened while the csv dataset builder was generating data using

hf://datasets/davidwisdom/fake_railroad_company/v1/routes.csv (at revision a0f40bf036af3ed5a037137c356f60317be71a17)

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
              route_id: int64
              src: string
              dst: string
              expected_departure: string
              expected_arrival: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 853
              to
              {'name': Value(dtype='string', id=None), 'birthday': Value(dtype='string', id=None), 'gender': Value(dtype='string', id=None), 'is_married': Value(dtype='bool', id=None), 'children': Value(dtype='int64', id=None), 'membership_start': Value(dtype='string', id=None), 'age': Value(dtype='int64', id=None), 'passenger_id': Value(dtype='int64', 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 5 new columns ({'expected_departure', 'expected_arrival', 'route_id', 'src', 'dst'}) and 8 missing columns ({'passenger_id', 'membership_start', 'birthday', 'children', 'gender', 'age', 'name', 'is_married'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/davidwisdom/fake_railroad_company/v1/routes.csv (at revision a0f40bf036af3ed5a037137c356f60317be71a17)
              
              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)

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name
string
birthday
string
gender
string
is_married
bool
children
int64
membership_start
string
age
int64
passenger_id
int64
Brett Johal
1975-07-06
male
false
2
2004-02-16
48
1
Jason Martinez
1995-12-17
male
true
1
null
28
2
Andrew Stewart
1988-11-22
male
true
3
null
35
3
Patrick Alexander
1970-08-14
male
false
2
null
53
4
Kevin Neerachapong
1994-04-28
male
false
1
2020-12-24
29
5
Gerald Chadwick
1956-09-02
male
true
2
null
67
6
Michelle Kennedy
1983-11-26
female
true
6
null
40
7
Susan Crowley
1980-09-16
female
true
2
null
43
8
Sara Stewart
1999-04-24
female
false
0
null
24
9
Nirvi Wood
1966-11-19
female
true
4
null
57
10
Steven Dyer
1982-04-15
male
true
1
1998-07-07
41
11
Jared Chaney
1943-03-01
male
true
3
1979-02-21
80
12
Howard Price
1980-07-01
male
false
3
null
43
13
Rebecca Dora
1978-07-30
female
true
1
null
45
14
Marcia Hansen
2010-01-01
female
false
0
null
14
15
Kyle Arya
2009-12-26
male
false
0
null
14
16
Nutkrita Farragher
1995-04-17
female
false
2
2018-11-18
28
17
Erin Mccarthy
1970-04-15
female
false
1
null
53
18
Laura Thomas
1929-08-25
female
false
1
null
94
19
Shawn Woods
1949-09-24
male
false
0
null
74
20
Bryan Roche
1978-05-15
male
true
5
null
45
21
Akarsh O'Freil
1983-03-14
female
true
2
null
40
22
Lily Walker
1992-02-14
female
true
3
null
31
23
Ashley Ward
1951-10-17
female
true
4
null
72
24
Yakshit Sparks
1975-03-11
male
true
4
2012-04-02
48
25
Pattamon Cobb
2007-12-16
female
false
0
null
16
26
Chanya Davidson
1948-05-23
female
true
1
null
75
27
Brittney McMonagle
1981-01-25
female
true
0
null
42
28
Angela Andra
1974-06-21
female
true
3
1991-04-17
49
29
Courtney Master
2007-09-14
female
false
0
null
16
30
Chaiwut Hayes
1957-07-16
female
false
2
null
66
31
Barbara Keller
1994-08-17
female
true
2
null
29
32
Desmond Blake
1980-09-30
male
true
3
2018-02-27
43
33
Tiya Turner
2015-09-19
male
false
0
null
8
34
Ashley Johnson
1956-11-09
female
false
2
null
67
35
Philip Williams
1992-10-29
male
false
0
null
31
36
James Long
1952-12-31
male
false
3
null
71
37
Lisa Austin
1960-06-21
female
true
1
2017-12-08
63
38
Eric Pitanuwat
2021-05-16
male
false
0
null
2
39
Caolan Polauaypon
2014-06-10
male
false
0
null
9
40
Riya Jones
1959-05-12
male
false
0
2006-01-30
64
41
George Rout
2010-02-12
male
false
0
null
13
42
Patcharaporn Wilkins
1999-09-26
male
false
0
null
24
43
William Hall
1973-08-19
male
true
3
1995-09-28
50
44
Jared Harrihy
1983-03-25
male
false
2
null
40
45
Orlaigh Levy
2015-10-04
female
false
0
null
8
46
Catherine Palmer
2009-07-01
female
false
0
null
14
47
Louise Kongsri
1972-06-01
female
true
2
null
51
48
Shannon Wade
1969-02-11
female
true
1
null
54
49
Nancy Keeney
1941-03-24
female
true
5
null
82
50
Louis Butala
1950-03-20
male
true
2
null
73
51
Sitiwat Williams
1967-07-06
female
true
2
null
56
52
Teetat Arnold
1967-04-19
male
true
4
null
56
53
Patcharaporn Raj
2005-01-16
female
false
1
2022-04-09
19
54
Cynthia Tapp
1986-11-28
female
true
3
null
37
55
Shalv Moore
1986-09-17
female
true
4
2006-08-05
37
56
Yakshit Davis
1966-06-20
female
false
1
null
57
57
Christie Choeychuen
1946-02-25
female
true
8
null
77
58
Chayapat Sahota
1994-01-15
male
false
0
null
30
59
Prisha Bhatt
1964-12-12
female
false
0
null
59
60
Karen Bell
1997-09-17
female
true
1
null
26
61
Carl Stafford
1957-11-12
male
true
4
null
66
62
Janice Garcia
1947-12-18
female
false
1
null
76
63
Rick Benton
1950-06-25
male
true
1
1995-02-10
73
64
Sherri Smith
2018-01-13
female
false
0
null
6
65
Donald Barker
1938-08-25
male
true
4
2002-04-16
85
66
Margaret Dillon
1964-01-12
female
true
3
2010-04-03
60
67
Rachael Weaver
1983-06-09
female
false
0
null
40
68
Karen Phillips
1954-01-15
female
false
1
null
70
69
Jaruwan Halder
1950-09-26
female
true
3
null
73
70
Puntira Bryant
1965-07-12
male
true
6
null
58
71
Leon Bell
1969-12-15
male
true
1
null
54
72
Gillian Franklin
2012-02-03
female
false
0
null
11
73
Scott Webster
1994-10-03
male
false
0
null
29
74
Kimberly Sireelert
1993-02-15
female
false
1
2021-06-15
30
75
Elizabeth Agrawal
1996-05-18
female
false
1
null
27
76
Jessica Youprasert
2012-09-25
female
false
0
null
11
77
Ryan West
2012-06-07
female
false
0
null
11
78
Joel Gray
1984-02-05
male
true
2
null
39
79
Katherine Alvarez
1977-04-17
female
false
0
2002-12-04
46
80
Michele Vinyuvanichkul
2010-06-01
female
false
0
null
13
81
Robert McGinley
2015-11-22
male
false
0
null
8
82
Stephanie Rees
1978-06-23
female
true
1
null
45
83
Prisha Mann
1998-01-28
female
false
1
null
25
84
Cody Dugar
1991-07-07
male
false
0
null
32
85
Liam McGuinn
1967-03-07
male
true
1
null
56
86
Lisa Morgan
1979-10-19
female
false
1
null
44
87
Barbara Curneen
1986-12-29
female
true
2
null
37
88
Dana Miller
2007-01-31
female
false
0
null
16
89
Cindy Browning
1956-02-20
female
false
2
2012-10-29
67
90
Fintan Burgess
2018-05-08
male
false
0
null
5
91
Ivan Cook
1997-01-14
female
false
0
2020-02-15
27
92
Helen Cruz
1978-06-22
female
true
3
null
45
93
Barbara Raju
2010-05-30
female
false
0
null
13
94
Andrew Cloonan
1943-05-16
male
false
1
null
80
95
Evan Uniacke
2018-05-14
male
false
0
null
5
96
Raghav Moore
2015-10-20
male
false
0
null
8
97
Patrick Weldon
1998-08-01
male
true
1
null
25
98
Raunak McDunphy
2004-04-29
female
false
0
null
19
99
Susan Baker
1950-07-08
female
true
1
null
73
100
End of preview.

fake_railroad_company

This is toy data I created about an imaginary railroad company.

V1

This is the first version of the data that I generated.

V2

I tweaked some of the weights I used to calculate the satisfaction score.

V3

Some customers are now power users who ride more often than other users.

V4

Customers with children are more likely to be members

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