Datasets:
merve
/
student_scores

Dataset card Data Studio Files 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 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
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string
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string
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float64
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master's degree
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some college
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female
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some high school
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bachelor's degree
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male
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master's degree
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some college
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female
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bachelor's degree
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high school
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some college
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some college
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female
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female
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associate's degree
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associate's degree
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some high school
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male
group A
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free/reduced
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group C
associate's degree
standard
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group D
some high school
standard
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male
group B
some high school
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group D
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1
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group B
associate's degree
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1
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female
group C
associate's degree
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group D
some college
free/reduced
completed
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male
group D
some college
standard
completed
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group A
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free/reduced
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some high school
free/reduced
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group C
some high school
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male
group B
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group E
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male
group A
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standard
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1
0
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some high school
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group E
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group B
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group E
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male
group D
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group C
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group C
some college
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none
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female
group D
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group D
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none
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group C
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none
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group C
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male
group C
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female
group B
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1
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male
group C
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0
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male
group B
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0
End of preview.