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 8 new columns ({'lunch', 'writing score', 'reading score', 'parental level of education', 'math score', 'test preparation course', 'gender', 'race/ethnicity'}) and 12 missing columns ({'2', '11', '8', '4', '3', '7', '9', '10', '6', '5', '1', '0'}).
This happened while the csv dataset builder was generating data using
hf://datasets/merve/student_scores/dataset.csv (at revision 38f9e34cc1a66302e7dfd4e01dc228eafbf4dbc1)
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
Unnamed: 0: int64
gender: string
race/ethnicity: string
parental level of education: string
lunch: string
test preparation course: string
math score: int64
reading score: int64
writing score: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1392
to
{'Unnamed: 0': Value(dtype='int64', id=None), '0': Value(dtype='string', id=None), '1': Value(dtype='string', id=None), '2': Value(dtype='string', id=None), '3': Value(dtype='string', id=None), '4': Value(dtype='string', id=None), '5': Value(dtype='float64', id=None), '6': Value(dtype='float64', id=None), '7': Value(dtype='float64', id=None), '8': Value(dtype='float64', id=None), '9': Value(dtype='float64', id=None), '10': Value(dtype='float64', id=None), '11': 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 8 new columns ({'lunch', 'writing score', 'reading score', 'parental level of education', 'math score', 'test preparation course', 'gender', 'race/ethnicity'}) and 12 missing columns ({'2', '11', '8', '4', '3', '7', '9', '10', '6', '5', '1', '0'}).
This happened while the csv dataset builder was generating data using
hf://datasets/merve/student_scores/dataset.csv (at revision 38f9e34cc1a66302e7dfd4e01dc228eafbf4dbc1)
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.
Unnamed: 0
int64 | 0
string | 1
string | 2
string | 3
string | 4
string | 5
float64 | 6
float64 | 7
float64 | 8
float64 | 9
float64 | 10
float64 | 11
float64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
0
|
female
|
group B
|
bachelor's degree
|
standard
|
none
| 72
| 72
| 74
| 1
| 1
| 1
| 0
|
1
|
female
|
group C
|
some college
|
standard
|
completed
| 69
| 90
| 88
| 4
| 0
| 1
| 0
|
2
|
female
|
group B
|
master's degree
|
standard
|
none
| 90
| 95
| 93
| 3
| 1
| 1
| 0
|
3
|
male
|
group A
|
associate's degree
|
free/reduced
|
none
| 47
| 57
| 44
| 0
| 1
| 0
| 1
|
4
|
male
|
group C
|
some college
|
standard
|
none
| 76
| 78
| 75
| 4
| 1
| 0
| 1
|
5
|
female
|
group B
|
associate's degree
|
standard
|
none
| 71
| 83
| 78
| 0
| 1
| 1
| 0
|
6
|
female
|
group B
|
some college
|
standard
|
completed
| 88
| 95
| 92
| 4
| 0
| 1
| 0
|
7
|
male
|
group B
|
some college
|
free/reduced
|
none
| 40
| 43
| 39
| 4
| 1
| 0
| 1
|
8
|
male
|
group D
|
high school
|
free/reduced
|
completed
| 64
| 64
| 67
| 2
| 0
| 0
| 1
|
9
|
female
|
group B
|
high school
|
free/reduced
|
none
| 38
| 60
| 50
| 2
| 1
| 1
| 0
|
10
|
male
|
group C
|
associate's degree
|
standard
|
none
| 58
| 54
| 52
| 0
| 1
| 0
| 1
|
11
|
male
|
group D
|
associate's degree
|
standard
|
none
| 40
| 52
| 43
| 0
| 1
| 0
| 1
|
12
|
female
|
group B
|
high school
|
standard
|
none
| 65
| 81
| 73
| 2
| 1
| 1
| 0
|
13
|
male
|
group A
|
some college
|
standard
|
completed
| 78
| 72
| 70
| 4
| 0
| 0
| 1
|
14
|
female
|
group A
|
master's degree
|
standard
|
none
| 50
| 53
| 58
| 3
| 1
| 1
| 0
|
15
|
female
|
group C
|
some high school
|
standard
|
none
| 69
| 75
| 78
| 5
| 1
| 1
| 0
|
16
|
male
|
group C
|
high school
|
standard
|
none
| 88
| 89
| 86
| 2
| 1
| 0
| 1
|
17
|
female
|
group B
|
some high school
|
free/reduced
|
none
| 18
| 32
| 28
| 5
| 1
| 1
| 0
|
18
|
male
|
group C
|
master's degree
|
free/reduced
|
completed
| 46
| 42
| 46
| 3
| 0
| 0
| 1
|
19
|
female
|
group C
|
associate's degree
|
free/reduced
|
none
| 54
| 58
| 61
| 0
| 1
| 1
| 0
|
20
|
male
|
group D
|
high school
|
standard
|
none
| 66
| 69
| 63
| 2
| 1
| 0
| 1
|
21
|
female
|
group B
|
some college
|
free/reduced
|
completed
| 65
| 75
| 70
| 4
| 0
| 1
| 0
|
22
|
male
|
group D
|
some college
|
standard
|
none
| 44
| 54
| 53
| 4
| 1
| 0
| 1
|
23
|
female
|
group C
|
some high school
|
standard
|
none
| 69
| 73
| 73
| 5
| 1
| 1
| 0
|
24
|
male
|
group D
|
bachelor's degree
|
free/reduced
|
completed
| 74
| 71
| 80
| 1
| 0
| 0
| 1
|
25
|
male
|
group A
|
master's degree
|
free/reduced
|
none
| 73
| 74
| 72
| 3
| 1
| 0
| 1
|
26
|
male
|
group B
|
some college
|
standard
|
none
| 69
| 54
| 55
| 4
| 1
| 0
| 1
|
27
|
female
|
group C
|
bachelor's degree
|
standard
|
none
| 67
| 69
| 75
| 1
| 1
| 1
| 0
|
28
|
male
|
group C
|
high school
|
standard
|
none
| 70
| 70
| 65
| 2
| 1
| 0
| 1
|
29
|
female
|
group D
|
master's degree
|
standard
|
none
| 62
| 70
| 75
| 3
| 1
| 1
| 0
|
30
|
female
|
group D
|
some college
|
standard
|
none
| 69
| 74
| 74
| 4
| 1
| 1
| 0
|
31
|
female
|
group B
|
some college
|
standard
|
none
| 63
| 65
| 61
| 4
| 1
| 1
| 0
|
32
|
female
|
group E
|
master's degree
|
free/reduced
|
none
| 56
| 72
| 65
| 3
| 1
| 1
| 0
|
33
|
male
|
group D
|
some college
|
standard
|
none
| 40
| 42
| 38
| 4
| 1
| 0
| 1
|
34
|
male
|
group E
|
some college
|
standard
|
none
| 97
| 87
| 82
| 4
| 1
| 0
| 1
|
35
|
male
|
group E
|
associate's degree
|
standard
|
completed
| 81
| 81
| 79
| 0
| 0
| 0
| 1
|
36
|
female
|
group D
|
associate's degree
|
standard
|
none
| 74
| 81
| 83
| 0
| 1
| 1
| 0
|
37
|
female
|
group D
|
some high school
|
free/reduced
|
none
| 50
| 64
| 59
| 5
| 1
| 1
| 0
|
38
|
female
|
group D
|
associate's degree
|
free/reduced
|
completed
| 75
| 90
| 88
| 0
| 0
| 1
| 0
|
39
|
male
|
group B
|
associate's degree
|
free/reduced
|
none
| 57
| 56
| 57
| 0
| 1
| 0
| 1
|
40
|
male
|
group C
|
associate's degree
|
free/reduced
|
none
| 55
| 61
| 54
| 0
| 1
| 0
| 1
|
41
|
female
|
group C
|
associate's degree
|
standard
|
none
| 58
| 73
| 68
| 0
| 1
| 1
| 0
|
42
|
female
|
group B
|
associate's degree
|
standard
|
none
| 53
| 58
| 65
| 0
| 1
| 1
| 0
|
43
|
male
|
group B
|
some college
|
free/reduced
|
completed
| 59
| 65
| 66
| 4
| 0
| 0
| 1
|
44
|
female
|
group E
|
associate's degree
|
free/reduced
|
none
| 50
| 56
| 54
| 0
| 1
| 1
| 0
|
45
|
male
|
group B
|
associate's degree
|
standard
|
none
| 65
| 54
| 57
| 0
| 1
| 0
| 1
|
46
|
female
|
group A
|
associate's degree
|
standard
|
completed
| 55
| 65
| 62
| 0
| 0
| 1
| 0
|
47
|
female
|
group C
|
high school
|
standard
|
none
| 66
| 71
| 76
| 2
| 1
| 1
| 0
|
48
|
female
|
group D
|
associate's degree
|
free/reduced
|
completed
| 57
| 74
| 76
| 0
| 0
| 1
| 0
|
49
|
male
|
group C
|
high school
|
standard
|
completed
| 82
| 84
| 82
| 2
| 0
| 0
| 1
|
50
|
male
|
group E
|
some college
|
standard
|
none
| 53
| 55
| 48
| 4
| 1
| 0
| 1
|
51
|
male
|
group E
|
associate's degree
|
free/reduced
|
completed
| 77
| 69
| 68
| 0
| 0
| 0
| 1
|
52
|
male
|
group C
|
some college
|
standard
|
none
| 53
| 44
| 42
| 4
| 1
| 0
| 1
|
53
|
male
|
group D
|
high school
|
standard
|
none
| 88
| 78
| 75
| 2
| 1
| 0
| 1
|
54
|
female
|
group C
|
some high school
|
free/reduced
|
completed
| 71
| 84
| 87
| 5
| 0
| 1
| 0
|
55
|
female
|
group C
|
high school
|
free/reduced
|
none
| 33
| 41
| 43
| 2
| 1
| 1
| 0
|
56
|
female
|
group E
|
associate's degree
|
standard
|
completed
| 82
| 85
| 86
| 0
| 0
| 1
| 0
|
57
|
male
|
group D
|
associate's degree
|
standard
|
none
| 52
| 55
| 49
| 0
| 1
| 0
| 1
|
58
|
male
|
group D
|
some college
|
standard
|
completed
| 58
| 59
| 58
| 4
| 0
| 0
| 1
|
59
|
female
|
group C
|
some high school
|
free/reduced
|
none
| 0
| 17
| 10
| 5
| 1
| 1
| 0
|
60
|
male
|
group E
|
bachelor's degree
|
free/reduced
|
completed
| 79
| 74
| 72
| 1
| 0
| 0
| 1
|
61
|
male
|
group A
|
some high school
|
free/reduced
|
none
| 39
| 39
| 34
| 5
| 1
| 0
| 1
|
62
|
male
|
group A
|
associate's degree
|
free/reduced
|
none
| 62
| 61
| 55
| 0
| 1
| 0
| 1
|
63
|
female
|
group C
|
associate's degree
|
standard
|
none
| 69
| 80
| 71
| 0
| 1
| 1
| 0
|
64
|
female
|
group D
|
some high school
|
standard
|
none
| 59
| 58
| 59
| 5
| 1
| 1
| 0
|
65
|
male
|
group B
|
some high school
|
standard
|
none
| 67
| 64
| 61
| 5
| 1
| 0
| 1
|
66
|
male
|
group D
|
some high school
|
free/reduced
|
none
| 45
| 37
| 37
| 5
| 1
| 0
| 1
|
67
|
female
|
group C
|
some college
|
standard
|
none
| 60
| 72
| 74
| 4
| 1
| 1
| 0
|
68
|
male
|
group B
|
associate's degree
|
free/reduced
|
none
| 61
| 58
| 56
| 0
| 1
| 0
| 1
|
69
|
female
|
group C
|
associate's degree
|
standard
|
none
| 39
| 64
| 57
| 0
| 1
| 1
| 0
|
70
|
female
|
group D
|
some college
|
free/reduced
|
completed
| 58
| 63
| 73
| 4
| 0
| 1
| 0
|
71
|
male
|
group D
|
some college
|
standard
|
completed
| 63
| 55
| 63
| 4
| 0
| 0
| 1
|
72
|
female
|
group A
|
associate's degree
|
free/reduced
|
none
| 41
| 51
| 48
| 0
| 1
| 1
| 0
|
73
|
male
|
group C
|
some high school
|
free/reduced
|
none
| 61
| 57
| 56
| 5
| 1
| 0
| 1
|
74
|
male
|
group C
|
some high school
|
standard
|
none
| 49
| 49
| 41
| 5
| 1
| 0
| 1
|
75
|
male
|
group B
|
associate's degree
|
free/reduced
|
none
| 44
| 41
| 38
| 0
| 1
| 0
| 1
|
76
|
male
|
group E
|
some high school
|
standard
|
none
| 30
| 26
| 22
| 5
| 1
| 0
| 1
|
77
|
male
|
group A
|
bachelor's degree
|
standard
|
completed
| 80
| 78
| 81
| 1
| 0
| 0
| 1
|
78
|
female
|
group D
|
some high school
|
standard
|
completed
| 61
| 74
| 72
| 5
| 0
| 1
| 0
|
79
|
female
|
group E
|
master's degree
|
standard
|
none
| 62
| 68
| 68
| 3
| 1
| 1
| 0
|
80
|
female
|
group B
|
associate's degree
|
standard
|
none
| 47
| 49
| 50
| 0
| 1
| 1
| 0
|
81
|
male
|
group B
|
high school
|
free/reduced
|
none
| 49
| 45
| 45
| 2
| 1
| 0
| 1
|
82
|
male
|
group A
|
some college
|
free/reduced
|
completed
| 50
| 47
| 54
| 4
| 0
| 0
| 1
|
83
|
male
|
group E
|
associate's degree
|
standard
|
none
| 72
| 64
| 63
| 0
| 1
| 0
| 1
|
84
|
male
|
group D
|
high school
|
free/reduced
|
none
| 42
| 39
| 34
| 2
| 1
| 0
| 1
|
85
|
female
|
group C
|
some college
|
standard
|
none
| 73
| 80
| 82
| 4
| 1
| 1
| 0
|
86
|
female
|
group C
|
some college
|
free/reduced
|
none
| 76
| 83
| 88
| 4
| 1
| 1
| 0
|
87
|
female
|
group D
|
associate's degree
|
standard
|
none
| 71
| 71
| 74
| 0
| 1
| 1
| 0
|
88
|
female
|
group A
|
some college
|
standard
|
none
| 58
| 70
| 67
| 4
| 1
| 1
| 0
|
89
|
female
|
group D
|
some high school
|
standard
|
none
| 73
| 86
| 82
| 5
| 1
| 1
| 0
|
90
|
female
|
group C
|
bachelor's degree
|
standard
|
none
| 65
| 72
| 74
| 1
| 1
| 1
| 0
|
91
|
male
|
group C
|
high school
|
free/reduced
|
none
| 27
| 34
| 36
| 2
| 1
| 0
| 1
|
92
|
male
|
group C
|
high school
|
standard
|
none
| 71
| 79
| 71
| 2
| 1
| 0
| 1
|
93
|
male
|
group C
|
associate's degree
|
free/reduced
|
completed
| 43
| 45
| 50
| 0
| 0
| 0
| 1
|
94
|
female
|
group B
|
some college
|
standard
|
none
| 79
| 86
| 92
| 4
| 1
| 1
| 0
|
95
|
male
|
group C
|
associate's degree
|
free/reduced
|
completed
| 78
| 81
| 82
| 0
| 0
| 0
| 1
|
96
|
male
|
group B
|
some high school
|
standard
|
completed
| 65
| 66
| 62
| 5
| 0
| 0
| 1
|
97
|
female
|
group E
|
some college
|
standard
|
completed
| 63
| 72
| 70
| 4
| 0
| 1
| 0
|
98
|
female
|
group D
|
some college
|
free/reduced
|
none
| 58
| 67
| 62
| 4
| 1
| 1
| 0
|
99
|
female
|
group D
|
bachelor's degree
|
standard
|
none
| 65
| 67
| 62
| 1
| 1
| 1
| 0
|
End of preview.