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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 ({'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)

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.

Division
string
Post_Code
string
Post_Office
string
District
string
Upozila
string
Dhaka
1000
Dhaka GPO
Dhaka
Motijheel
Dhaka
1100
Dhaka Sadar HO
Dhaka
Dhaka Sadar
Dhaka
1203
Wari TSO
Dhaka
Dhaka Sadr
Dhaka
1204
Gandaria TSO
Dhaka
Dhaka Sadar
Dhaka
1205
New Market TSO
Dhaka
Nilkhet
Dhaka
1206
Dhaka Cen,ft. TSO
Dhaka
Kochukhet
Dhaka
1207
Mohammadpur Housing Estate TSO
Dhaka
Mohammadpur
Dhaka
1211
Posta TSO
Dhaka
Kamrangirchar
Dhaka
Ashrafabad
Dhaka
Kamrangirchar
Dhaka
1208
Dhaka Politechnique Institut TSO
Dhaka
Tejgaon
Dhaka
1209
Jigatola TSO
Dhaka
Dhanmondi
Dhaka
1212
Gulshan TSO
Dhaka
Gulshan
Dhaka
1213
Banani TSO
Dhaka
Banani
Dhaka
1214
Bashabo TSO
Dhaka
Khilgaon
Dhaka
1219
Banani TSO
Dhaka
Banani
Dhaka
1215
Tejgaon TSO
Dhaka
Tejgaon
Dhaka
1216
Mirpur TSO
Dhaka
Mirpur
Dhaka
1217
Shantinagar TSO
Dhaka
Shantinagar
Dhaka
1222
Bangabhaban TSO
Dhaka
Mohammadpur
Dhaka
1223
Dilkusha TSO
Dhaka
Motijheel
Dhaka
1225
Sangshad Bhaban
Dhaka
Lalmati
Dhaka
1229
Khilkhet TSO
Dhaka
Khilkhet
Dhaka
1230
Uttara Model Town TSO
Dhaka
Uttara
Dhaka
1236
Dania TSO
Dhaka
Dania
Dhaka
1310
Keranigonj UPO
Dhaka
Keranigonj
Dhaka
Uttar Pangaon
Dhaka
Keranigonj
Dhaka
Konda
Dhaka
Keranigonj
Dhaka
Baktarchar
Dhaka
Keranigonj
Dhaka
Ati
Dhaka
Keranigonj
Dhaka
Talepur
Dhaka
Keranigonj
Dhaka
Beuta
Dhaka
Keranigonj
Dhaka
Baghoir
Dhaka
Keranigonj
Dhaka
Paschimdi
Dhaka
Keranigonj
Dhaka
Rahitpur
Dhaka
Keranigonj
Dhaka
Brahammankirti
Dhaka
Keranigonj
Dhaka
Rajabari
Dhaka
Keranigonj
Dhaka
Shakta
Dhaka
Keranigonj
Dhaka
Shyamlapur
Dhaka
Keranigonj
Dhaka
Shuvadda
Dhaka
Keranigonj
Dhaka
Sonakanda
Dhaka
Keranigonj
Dhaka
1311
Dhaka Jute Mils SO
Dhaka
Keranigonj
Dhaka
Doleshor
Dhaka
Keranigonj
Dhaka
Teghoria
Dhaka
Keranigonj
Dhaka
Par Gandaria
Dhaka
Keranigonj
Dhaka
Abdullapur
Dhaka
Keranigonj
Dhaka
1312
Ati EDSO
Dhaka
Keranigonj
Dhaka
1313
Kalatia SO
Dhaka
Keranigonj
Dhaka
`
Itavara
Dhaka
Keranigonj
Dhaka
Taranagar
Dhaka
Keranigonj
Dhaka
Kharakandi
Dhaka
Keranigonj
Dhaka
1320
Nawabgonj UPO
Dhaka
Nawabgonj
Dhaka
Khalpar
Dhaka
Nawabgonj
Dhaka
Agla
Dhaka
Nawabgonj
Dhaka
Kolakopa
Dhaka
Nawabgonj
Dhaka
Gobindopur
Dhaka
Nawabgonj
Dhaka
Galimpur
Dhaka
Nawabgonj
Dhaka
Choto Box Nagar
Dhaka
Nawabgonj
Dhaka
Jalalchar
Dhaka
Nawabgonj
Dhaka
Paragram
Dhaka
Nawabgonj
Dhaka
Braha
Dhaka
Nawabgonj
Dhaka
Bardhanpara
Dhaka
Nawabgonj
Dhaka
Mohabbatpur
Dhaka
Nawabgonj
Dhaka
Mashail
Dhaka
Nawabgonj
Dhaka
Sholla
Dhaka
Nawabgonj
Dhaka
Kailail
Dhaka
Nawabgonj
Dhaka
Aona
Dhaka
Nawabgonj
Dhaka
Patiljhap
Dhaka
Nawabgonj
Dhaka
Meleng
Dhaka
Nawabgonj
Dhaka
Dakkhin Balukhondo
Dhaka
Nawabgonj
Dhaka
1321
Hasnabad SO
Dhaka
Nawabgonj
Dhaka
Khanepur
Dhaka
Nawabgonj
Dhaka
Dewtola
Dhaka
Nawabgonj
Dhaka
1322
Daudpur So
Dhaka
Nawabgonj
Dhaka
Kuthuri
Dhaka
Nawabgonj
Dhaka
Joykrishnapur
Dhaka
Nawabgonj
Dhaka
Karpara
Dhaka
Nawabgonj
Dhaka
Shikaripara
Dhaka
Nawabgonj
Dhaka
Hat Baruakhali
Dhaka
Nawabgonj
Dhaka
Tasulla Banglabazar
Dhaka
Nawabgonj
Dhaka
1323
Agla EDSO
Dhaka
Nawabgonj
Dhaka
1324
Khalpur EDSO
Dhaka
Nawabgonj
Dhaka
1325
Churan So
Dhaka
Nawabgonj
Dhaka
1330
Joypara (Dohar) UPO
Dhaka
Joypara (Dohar)
Dhaka
Al-Amin Bazar
Dhaka
Joypara (Dohar)
Dhaka
Harichandi
Dhaka
Joypara (Dohar)
Dhaka
Narisha
Dhaka
Joypara (Dohar)
Dhaka
Dohar
Dhaka
Joypara (Dohar)
Dhaka
Meghula
Dhaka
Joypara (Dohar)
Dhaka
Aorangabad
Dhaka
Joypara (Dohar)
Dhaka
Kusumhati
Dhaka
Joypara (Dohar)
Dhaka
Dokkhin Braha
Dhaka
Joypara (Dohar)
Dhaka
1331
Palamgonj SO
Dhaka
Joypara (Dohar)
Dhaka
Jamalchar
Dhaka
Joypara (Dohar)
Dhaka
1332
Narisha SO
Dhaka
Joypara (Dohar)
Dhaka
1333
Mokshedpur So
Dhaka
Joypara (Dohar)
Dhaka
1340
Savar UPO
Dhaka
Savar
Dhaka
Vakurta
Dhaka
Savar
Dhaka
Amin Bazar
Dhaka
Savar
Dhaka
Rajfulbariya
Dhaka
Savar
Dhaka
Rajashon
Dhaka
Savar
End of preview.