Datasets:

---

jonyroy

/

student-poratal

like 0

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 2 new columns ({'upcoming', 'previous'}) and 2 missing columns ({'event', 'date'}).

This happened while the json dataset builder was generating data using

hf://datasets/jonyroy/student-poratal/api/exam.json (at revision e325bf3ba8f38f7ef90caf2aae77999bfb83a190)

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
              previous: list<item: struct<course_name: string, sem: int64, year: int64, isPass: bool, date_of_exam: string, result: list<item: struct<subject_name: string, practical_marks: string, internal_marks: string>>>>
                child 0, item: struct<course_name: string, sem: int64, year: int64, isPass: bool, date_of_exam: string, result: list<item: struct<subject_name: string, practical_marks: string, internal_marks: string>>>
                    child 0, course_name: string
                    child 1, sem: int64
                    child 2, year: int64
                    child 3, isPass: bool
                    child 4, date_of_exam: string
                    child 5, result: list<item: struct<subject_name: string, practical_marks: string, internal_marks: string>>
                        child 0, item: struct<subject_name: string, practical_marks: string, internal_marks: string>
                            child 0, subject_name: string
                            child 1, practical_marks: string
                            child 2, internal_marks: string
              upcoming: list<item: struct<course_name: string, name_of_student: string, exam_seat_no: string, exam_center: string, sem: int64, year: int64, is_regular: bool, eligible: bool, not_eligible_message: string, paper_type: string, time_table: list<item: struct<subject_name_code: string, date: string, time: string>>>>
                child 0, item: struct<course_name: string, name_of_student: string, exam_seat_no: string, exam_center: string, sem: int64, year: int64, is_regular: bool, eligible: bool, not_eligible_message: string, paper_type: string, time_table: list<item: struct<subject_name_code: string, date: string, time: string>>>
                    child 0, course_name: string
                    child 1, name_of_student: string
                    child 2, exam_seat_no: string
                    child 3, exam_center: string
                    child 4, sem: int64
                    child 5, year: int64
                    child 6, is_regular: bool
                    child 7, eligible: bool
                    child 8, not_eligible_message: string
                    child 9, paper_type: string
                    child 10, time_table: list<item: struct<subject_name_code: string, date: string, time: string>>
                        child 0, item: struct<subject_name_code: string, date: string, time: string>
                            child 0, subject_name_code: string
                            child 1, date: string
                            child 2, time: string
              to
              {'event': Value(dtype='string', id=None), 'date': Value(dtype='string', 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 2 new columns ({'upcoming', 'previous'}) and 2 missing columns ({'event', 'date'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/jonyroy/student-poratal/api/exam.json (at revision e325bf3ba8f38f7ef90caf2aae77999bfb83a190)
              
              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)