Datasets:

Willgnner-Santos
/

BD_Producao_Artistica

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 1 new columns ({'nome'}) and 2 missing columns ({'id_producao', 'papel'}).

This happened while the json dataset builder was generating data using

hf://datasets/Willgnner-Santos/BD_Producao_Artistica/pessoa.jsonl (at revision 51d1ebde41871bd14e760d432daf05152f06413f)

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 "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              id_pessoa: int64
              nome: string
              to
              {'id_producao': Value('int64'), 'id_pessoa': Value('int64'), 'papel': Value('string')}
              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 1339, 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 972, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1833, 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 1 new columns ({'nome'}) and 2 missing columns ({'id_producao', 'papel'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/Willgnner-Santos/BD_Producao_Artistica/pessoa.jsonl (at revision 51d1ebde41871bd14e760d432daf05152f06413f)
              
              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.

id_producao int64	id_pessoa int64	papel string
715,190	37,497	Nadine's Client
715,190	124,692	null
715,190	258,179	Reporter
715,190	516,564	The Butler
715,190	683,371	Palace Guard
715,190	874,192	Man with Umbrella
715,191	22,384	Man
715,191	30,244	Officer #1
715,191	59,786	null
715,191	78,882	Teammate
715,191	111,131	Mr. Orvac
715,191	112,755	null
715,191	117,787	The vicar
715,191	123,253	Tailor
715,191	128,064	Mr. Vickers
1,455,526	614,599	null
715,191	143,791	Wicket Keeper
715,191	148,692	English photographer
715,191	155,719	Cavalier
715,191	191,435	Farrow
715,191	234,010	English Reporter
715,191	234,266	Vincent
715,191	234,977	Officer of the Week
715,191	248,743	English photographer
715,191	249,585	Michael
715,191	252,922	Whately
715,191	290,085	Englishman
715,191	295,441	null
715,191	382,904	Officer
715,191	409,492	Franz
715,191	425,595	Radio Operator
715,191	463,131	null
715,191	479,895	British lieutenant
715,191	489,682	Senior Flying Officer Wales
715,191	506,716	Winfred Langford
715,191	510,252	null
715,191	516,056	null
715,191	516,485	Actor
715,191	516,554	British Man
715,191	548,767	Courtier
715,191	559,557	Campbell
715,191	564,482	Restaurant Captain
715,191	569,167	Butler
715,191	569,218	Grosvenor the Butler
715,191	581,462	Powell/Arthur Thurston-Wells
715,191	586,259	null
715,191	638,417	Briefing Officer
715,191	696,626	Physician
715,191	713,265	Desk man
715,191	713,458	Reporter
715,191	728,949	Reporter
715,191	728,952	Waiter
715,191	751,731	Sandy
715,191	751,732	Sandy
715,191	751,734	1st Man
715,191	785,661	Submarine Captain
715,191	786,873	Charlie
715,191	801,812	Man
715,191	849,678	Inspector Mac Ritchie
715,191	881,872	Head Croupier
715,191	899,899	Maitre d'
715,191	944,091	null
715,191	950,656	null
715,191	950,703	Train Guard
715,191	971,617	RAF Wing Commander
715,191	971,620	Policeman
715,191	971,629	Shullendorf
715,191	971,632	British Officer
715,191	971,651	Barkeep
715,191	998,036	null
715,191	998,660	Gruber
715,192	58,013	Danny Avery
715,193	477,774	Danny Avery
715,193	606,175	Dennis Hicks
715,194	92,366	Government messenger
715,194	168,560	1st Guest
715,194	363,604	null
715,194	416,805	null
715,194	418,242	Police Chief Richards
715,194	478,373	Lover
715,194	821,004	null
715,195	663,055	Himself
715,195	926,656	Himself
715,196	7,972	Gardener
715,197	22,738	null
715,197	109,212	null
715,197	242,878	Jack
715,197	356,860	Deserter
715,197	475,271	Runner
715,197	519,084	Police Driver
715,197	856,948	Safety Officer
715,198	159,730	null
715,198	167,675	null
715,198	331,870	Himself
715,198	331,883	Himself
715,198	354,173	Himself
715,199	198,284	Gunther
715,200	7,058	Kriminalkommissar Dengern
715,200	47,372	Tom Wilkins
715,200	110,236	Baron von Reiffenberg

End of preview.

BD_Producao_Artistica

Base relacional em formato tabular contendo informações sobre produções artísticas, pessoas e o vínculo de equipe (papéis) entre pessoas e produções.

Os dados foram convertidos a partir de arquivos .txt (delimitador ##) para JSONL (.jsonl, 1 registro por linha), visando facilitar ingestão e processamento em pipelines de dados.

Projeto/Trabalho relacionado

Este dataset foi utilizado no trabalho final da disciplinade Administrador de Banco de Dados (DBA).

Repositório do trabalho (código, instruções e entregáveis):
https://github.com/Willgnner-Santos/IT-Residence-TJGO/tree/main/Disciplines/Eixo%20An%C3%A1lise%20e%20Ci%C3%AAncia%20de%20Dados/Administrador%20de%20Banco%20de%20Dados%20(DBA)/Trabalho-Final

Dataset Summary

Formato: JSONL (.jsonl)
Entidades (tabelas):
- producao (obras/produções)
- pessoa (pessoas associadas)
- equipe (relação N:N entre pessoa e produção + papel)
Chaves de relacionamento:
- pessoa.id_pessoa ↔ equipe.id_pessoa
- producao.id_producao ↔ equipe.id_producao

Tamanho (contagem de registros)

Conversão realizada localmente com resultado:

equipe: 12,849,041 registros
pessoa: 2,062,495 registros
producao: 1,023,616 registros

Total: 15,935,152 registros (soma das 3 tabelas)

Dataset Structure

Data Files

Os arquivos do dataset são:

equipe.jsonl
pessoa.jsonl
producao.jsonl

Recomenda-se streaming no consumo, pois os arquivos podem ser grandes.

Data Schema

`pessoa.jsonl`

Campos:

id_pessoa (string/int): identificador da pessoa
nome (string): nome da pessoa

Exemplo:

{"id_pessoa":"123","nome":"FULANO DE TAL"}

Downloads last month: 10