Datasets:

sigmakib

/

Division-District-Subdistrict-Postal-Code-Bangladesh

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 8 new columns ({'Khulna', 'Dhaka', 'Rangpur', 'Mymensingh', 'Chattogram', 'Barishal', 'Sylhet', 'Rajshahi'}) and 5 missing columns ({'District', 'Post_Code', 'Post_Office', 'Division', 'Upozila'}).

This happened while the json dataset builder was generating data using

hf://datasets/sigmakib/Division-District-Subdistrict-Postal-Code-Bangladesh/division-district-subdistrict-post_office.json (at revision 4fd1ab52ac41a5c58e3ffe3e4908ac999b023dd5)

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
              Dhaka: struct<Dhaka: struct<Motijheel: struct<Post Office: string, Post Code: string>, Dhaka Sadar: struct<Post Office: string, Post Code: string>, Dhaka Sadr: struct<Post Office: string, Post Code: string>, Nilkhet: struct<Post Office: string, Post Code: string>, Kochukhet: struct<Post Office: string, Post Code: string>, Mohammadpur: struct<Post Office: string, Post Code: string>, Kamrangirchar: struct<Post Office: string, Post Code: string>, Tejgaon: struct<Post Office: string, Post Code: string>, Dhanmondi: struct<Post Office: string, Post Code: string>, Gulshan: struct<Post Office: string, Post Code: string>, Banani: struct<Post Office: string, Post Code: string>, Khilgaon: struct<Post Office: string, Post Code: string>, Mirpur: struct<Post Office: string, Post Code: string>, Shantinagar: struct<Post Office: string, Post Code: string>, Lalmati: struct<Post Office: string, Post Code: string>, Khilkhet: struct<Post Office: string, Post Code: string>, Uttara: struct<Post Office: string, Post Code: string>, Dania: struct<Post Office: string, Post Code: string>, Keranigonj: struct<Post Office: string, Post Code: string>, Nawabgonj: struct<Post Office: string, Post Code: string>, Joypara (Dohar): struct<Post Office: string, Post Code: string>, Savar: struct<Post Office: string, Post Code: string>, Dhamrai: struct<Post Office: string, Post Code: string>, Demra: struct<Post Office: string, Post Code: string>, Kodomtoli: struct<Post Office: string, Post Code: string>>, Narayanganj
              ...
              Code: string
                    child 3, Dasmina: struct<Post Office: string, Post Code: string>
                        child 0, Post Office: string
                        child 1, Post Code: string
                    child 4, Golachipa: struct<Post Office: string, Post Code: string>
                        child 0, Post Office: string
                        child 1, Post Code: string
                    child 5, Khepupara: struct<Post Office: string, Post Code: string>
                        child 0, Post Office: string
                        child 1, Post Code: string
                child 5, Barguna: struct<Sadar: struct<Post Office: string, Post Code: string>, Amtali: struct<Post Office: string, Post Code: string>, Patharghata: struct<Post Office: string, Post Code: string>, Bamna: struct<Post Office: string, Post Code: string>, Betagi: struct<Post Office: string, Post Code: string>>
                    child 0, Sadar: struct<Post Office: string, Post Code: string>
                        child 0, Post Office: string
                        child 1, Post Code: string
                    child 1, Amtali: struct<Post Office: string, Post Code: string>
                        child 0, Post Office: string
                        child 1, Post Code: string
                    child 2, Patharghata: struct<Post Office: string, Post Code: string>
                        child 0, Post Office: string
                        child 1, Post Code: string
                    child 3, Bamna: struct<Post Office: string, Post Code: string>
                        child 0, Post Office: string
                        child 1, Post Code: string
                    child 4, Betagi: struct<Post Office: string, Post Code: string>
                        child 0, Post Office: string
                        child 1, Post Code: string
              to
              {'District': Value(dtype='string', id=None), 'Post_Code': Value(dtype='string', id=None), 'Post_Office': Value(dtype='string', id=None), 'Division': Value(dtype='string', id=None), 'Upozila': 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 8 new columns ({'Khulna', 'Dhaka', 'Rangpur', 'Mymensingh', 'Chattogram', 'Barishal', 'Sylhet', 'Rajshahi'}) and 5 missing columns ({'District', 'Post_Code', 'Post_Office', 'Division', 'Upozila'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/sigmakib/Division-District-Subdistrict-Postal-Code-Bangladesh/division-district-subdistrict-post_office.json (at revision 4fd1ab52ac41a5c58e3ffe3e4908ac999b023dd5)
              
              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)