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Datasets:
dekomin
/
TabAdap

Modalities:
Tabular
Languages:
English
Size:
10K<n<100K
Tags:
tabular
License:
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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.

This is a selection of datasets from the CARTE's public datast pool.

We created the selection to not include duplicate feature spaces and datasets will low quality in terms of feature name and it's values semantics.

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