Datasets:
dekomin
/
TabAdap

Dataset card Data Studio Files
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Community
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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 10 new columns ({'education', 'looks_at', 'initial_focus_time', 'age', 'paper_type', 'visual_acuity', 'font_size', 'reading_speed', 'text_density', 'gender'}) and 9 missing columns ({'LeaveOrNot', 'PaymentTier', 'EverBenched', 'Gender', 'JoiningYear', 'Age', 'Education', 'City', 'ExperienceInCurrentDomain'}).

This happened while the csv dataset builder was generating data using

hf://datasets/dekomin/TabAdap/processed/classification/first_glance/looks_at_downsampled_2048.csv (at revision 1583e72db1f8f4634d4f460a842f2bfdbd0be30c)

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
              age: int64
              gender: string
              education: string
              visual_acuity: string
              reading_speed: string
              text_density: string
              font_size: string
              paper_type: string
              initial_focus_time: string
              looks_at: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1461
              to
              {'Education': Value(dtype='string', id=None), 'JoiningYear': Value(dtype='int64', id=None), 'City': Value(dtype='string', id=None), 'PaymentTier': Value(dtype='int64', id=None), 'Age': Value(dtype='int64', id=None), 'Gender': Value(dtype='string', id=None), 'EverBenched': Value(dtype='string', id=None), 'ExperienceInCurrentDomain': Value(dtype='int64', id=None), 'LeaveOrNot': 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 1420, 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 1052, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1000, 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 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 10 new columns ({'education', 'looks_at', 'initial_focus_time', 'age', 'paper_type', 'visual_acuity', 'font_size', 'reading_speed', 'text_density', 'gender'}) and 9 missing columns ({'LeaveOrNot', 'PaymentTier', 'EverBenched', 'Gender', 'JoiningYear', 'Age', 'Education', 'City', 'ExperienceInCurrentDomain'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/dekomin/TabAdap/processed/classification/first_glance/looks_at_downsampled_2048.csv (at revision 1583e72db1f8f4634d4f460a842f2bfdbd0be30c)
              
              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.

Education
string
JoiningYear
int64
City
string
PaymentTier
int64
Age
int64
Gender
string
EverBenched
string
ExperienceInCurrentDomain
int64
LeaveOrNot
int64
Bachelors
2,017
Pune
2
35
Female
No
5
1
Bachelors
2,014
Bangalore
3
38
Female
No
2
0
Bachelors
2,014
Bangalore
3
27
Male
No
5
0
Bachelors
2,018
Bangalore
3
38
Male
No
0
1
Bachelors
2,018
Bangalore
3
28
Male
No
1
1
Masters
2,017
Bangalore
2
27
Male
No
5
0
Bachelors
2,015
Bangalore
3
31
Male
No
1
0
Bachelors
2,012
Pune
3
28
Male
No
3
0
Bachelors
2,014
Pune
3
36
Female
No
5
0
Masters
2,013
New Delhi
2
24
Male
No
2
1
Bachelors
2,014
Bangalore
3
22
Female
No
0
0
Bachelors
2,015
Bangalore
3
28
Male
No
1
0
PHD
2,017
Bangalore
3
27
Male
No
5
0
Masters
2,018
New Delhi
3
24
Male
No
2
1
Bachelors
2,016
Pune
3
33
Male
No
2
0
Bachelors
2,015
Bangalore
3
24
Female
No
2
0
Bachelors
2,017
New Delhi
3
25
Female
No
3
0
Bachelors
2,014
Pune
3
29
Male
No
3
0
Bachelors
2,013
Pune
3
25
Male
No
3
0
Bachelors
2,013
Pune
3
28
Female
No
2
1
Bachelors
2,015
Bangalore
3
36
Male
No
3
0
Masters
2,017
New Delhi
2
24
Male
Yes
2
1
Masters
2,017
New Delhi
2
27
Female
No
5
0
Masters
2,017
New Delhi
2
34
Female
No
4
0
Bachelors
2,016
Bangalore
3
27
Female
No
5
0
Masters
2,012
Pune
3
24
Male
No
2
0
Bachelors
2,015
Pune
3
26
Female
Yes
4
1
Bachelors
2,014
Pune
2
27
Female
No
5
1
Bachelors
2,016
Bangalore
3
26
Female
No
4
1
Bachelors
2,017
New Delhi
3
28
Male
No
2
0
Bachelors
2,016
Bangalore
3
28
Male
No
1
0
Bachelors
2,014
Bangalore
3
34
Male
No
1
0
Bachelors
2,017
New Delhi
2
26
Male
No
4
0
Masters
2,013
Bangalore
3
30
Male
No
1
1
Bachelors
2,017
Bangalore
1
28
Female
No
0
1
Masters
2,012
New Delhi
3
35
Female
No
4
1
Bachelors
2,017
New Delhi
3
37
Male
No
0
0
Bachelors
2,016
Pune
2
28
Female
No
0
1
Masters
2,014
Pune
3
39
Male
No
2
0
Bachelors
2,013
Pune
3
27
Female
No
5
1
Masters
2,014
New Delhi
3
28
Female
No
3
0
Bachelors
2,016
Bangalore
3
26
Female
No
4
0
Bachelors
2,016
Bangalore
3
32
Male
No
1
0
Bachelors
2,016
Bangalore
1
34
Male
Yes
2
1
Bachelors
2,013
New Delhi
3
38
Female
No
4
1
Bachelors
2,017
New Delhi
3
28
Female
No
3
0
Bachelors
2,017
Bangalore
3
29
Female
No
1
0
Bachelors
2,012
Bangalore
3
24
Male
No
2
0
Bachelors
2,013
Pune
3
32
Male
No
2
0
Bachelors
2,018
Bangalore
3
26
Female
Yes
4
1
Bachelors
2,016
Pune
3
38
Male
No
0
0
Bachelors
2,017
Bangalore
3
41
Male
No
1
0
Bachelors
2,018
Pune
3
25
Male
No
3
1
Masters
2,017
Pune
2
39
Female
No
3
0
Bachelors
2,014
Bangalore
3
35
Female
No
2
0
Masters
2,017
New Delhi
2
24
Female
No
2
0
Masters
2,017
New Delhi
3
26
Male
No
4
0
Masters
2,018
New Delhi
3
23
Female
No
1
1
Bachelors
2,015
Pune
3
35
Female
No
1
1
Bachelors
2,018
Pune
3
28
Male
No
2
1
PHD
2,018
New Delhi
3
33
Female
No
4
1
Bachelors
2,018
Bangalore
3
24
Male
No
2
1
Bachelors
2,015
Bangalore
3
32
Female
No
4
0
Masters
2,013
New Delhi
3
31
Male
No
2
1
PHD
2,014
New Delhi
3
28
Female
No
0
0
Bachelors
2,014
Pune
2
38
Female
No
3
1
Masters
2,018
New Delhi
3
35
Male
No
2
1
Bachelors
2,014
Bangalore
3
27
Female
No
5
0
Masters
2,016
New Delhi
3
24
Male
No
2
1
Bachelors
2,012
Pune
2
35
Female
No
2
1
Masters
2,014
New Delhi
3
39
Male
No
2
0
Bachelors
2,014
New Delhi
3
23
Male
No
1
0
Bachelors
2,017
New Delhi
3
26
Male
No
4
0
Bachelors
2,013
Pune
3
28
Male
No
1
0
Bachelors
2,016
Pune
3
29
Male
No
5
0
Bachelors
2,013
Bangalore
3
35
Male
No
5
0
PHD
2,013
New Delhi
3
27
Male
No
5
0
Masters
2,017
New Delhi
2
26
Female
No
4
0
Bachelors
2,017
New Delhi
3
24
Female
No
2
0
Masters
2,012
Bangalore
3
40
Female
No
5
0
Bachelors
2,012
Bangalore
3
23
Male
Yes
1
0
Masters
2,017
New Delhi
1
26
Female
No
4
0
Bachelors
2,015
Pune
3
28
Male
Yes
2
0
Bachelors
2,017
Bangalore
3
27
Male
No
5
0
Bachelors
2,012
Bangalore
3
25
Male
No
3
0
Masters
2,013
Pune
2
28
Male
No
2
1
Bachelors
2,016
New Delhi
2
26
Female
No
4
1
Bachelors
2,017
New Delhi
2
40
Male
No
5
0
Bachelors
2,015
New Delhi
3
26
Female
Yes
4
0
Masters
2,015
New Delhi
3
26
Male
No
4
1
Bachelors
2,017
Bangalore
3
27
Male
No
5
0
Bachelors
2,014
Bangalore
3
27
Male
No
5
0
Bachelors
2,016
Bangalore
1
30
Male
No
4
1
Masters
2,017
Pune
2
39
Male
No
2
0
Masters
2,017
New Delhi
2
24
Male
No
2
1
Bachelors
2,016
Bangalore
3
33
Male
No
6
0
Bachelors
2,016
Bangalore
3
37
Female
No
1
0
Bachelors
2,014
Bangalore
3
25
Male
No
3
0
Bachelors
2,017
New Delhi
2
28
Male
No
0
0
Bachelors
2,013
Pune
3
24
Female
No
2
0
End of preview.