Datasets:

timmers
/

hpo-cultural-pt-curated

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 ({'negative', 'positive'}) and 4 missing columns ({'register', 'canonical', 'region', 'hpo_id'}).

This happened while the json dataset builder was generating data using

hf://datasets/timmers/hpo-cultural-pt-curated/hard_negatives.json (at revision 49a777df8e0b3182efdb42f2329351e94522ff51), [/tmp/hf-datasets-cache/medium/datasets/71435373356610-config-parquet-and-info-timmers-hpo-cultural-pt-c-75664a96/hub/datasets--timmers--hpo-cultural-pt-curated/snapshots/49a777df8e0b3182efdb42f2329351e94522ff51/cultural_pairs.json (origin=hf://datasets/timmers/hpo-cultural-pt-curated@49a777df8e0b3182efdb42f2329351e94522ff51/cultural_pairs.json), /tmp/hf-datasets-cache/medium/datasets/71435373356610-config-parquet-and-info-timmers-hpo-cultural-pt-c-75664a96/hub/datasets--timmers--hpo-cultural-pt-curated/snapshots/49a777df8e0b3182efdb42f2329351e94522ff51/hard_negatives.json (origin=hf://datasets/timmers/hpo-cultural-pt-curated@49a777df8e0b3182efdb42f2329351e94522ff51/hard_negatives.json)], ['hf://datasets/timmers/hpo-cultural-pt-curated@49a777df8e0b3182efdb42f2329351e94522ff51/cultural_pairs.json', 'hf://datasets/timmers/hpo-cultural-pt-curated@49a777df8e0b3182efdb42f2329351e94522ff51/hard_negatives.json']

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 1800, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 765, in write_table
                  self._write_table(pa_table, writer_batch_size=writer_batch_size)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 773, in _write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2281, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2227, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              anchor: string
              positive: string
              negative: string
              to
              {'hpo_id': Value('string'), 'canonical': Value('string'), 'anchor': Value('string'), 'register': Value('string'), 'region': 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 1347, 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 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 882, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 943, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, 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 1802, 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 ({'negative', 'positive'}) and 4 missing columns ({'register', 'canonical', 'region', 'hpo_id'}).
              
              This happened while the json dataset builder was generating data using
              
              hf://datasets/timmers/hpo-cultural-pt-curated/hard_negatives.json (at revision 49a777df8e0b3182efdb42f2329351e94522ff51), [/tmp/hf-datasets-cache/medium/datasets/71435373356610-config-parquet-and-info-timmers-hpo-cultural-pt-c-75664a96/hub/datasets--timmers--hpo-cultural-pt-curated/snapshots/49a777df8e0b3182efdb42f2329351e94522ff51/cultural_pairs.json (origin=hf://datasets/timmers/hpo-cultural-pt-curated@49a777df8e0b3182efdb42f2329351e94522ff51/cultural_pairs.json), /tmp/hf-datasets-cache/medium/datasets/71435373356610-config-parquet-and-info-timmers-hpo-cultural-pt-c-75664a96/hub/datasets--timmers--hpo-cultural-pt-curated/snapshots/49a777df8e0b3182efdb42f2329351e94522ff51/hard_negatives.json (origin=hf://datasets/timmers/hpo-cultural-pt-curated@49a777df8e0b3182efdb42f2329351e94522ff51/hard_negatives.json)], ['hf://datasets/timmers/hpo-cultural-pt-curated@49a777df8e0b3182efdb42f2329351e94522ff51/cultural_pairs.json', 'hf://datasets/timmers/hpo-cultural-pt-curated@49a777df8e0b3182efdb42f2329351e94522ff51/hard_negatives.json']
              
              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.

hpo_id string	canonical string	anchor string	register string	region string
HP:0001250	Seizure	ataque	informal	BR
HP:0001250	Seizure	ataque epiléptico	informal	BR
HP:0001250	Seizure	crise convulsiva	informal	BR
HP:0001250	Seizure	crise	informal	BR
HP:0001250	Seizure	acesso	informal	BR-NE
HP:0001250	Seizure	esparro	regional	BR-NE
HP:0001250	Seizure	mal caducar	regional	BR
HP:0001250	Seizure	mal-caduco	regional	BR
HP:0000238	Hydrocephalus	água na cabeça	informal	BR
HP:0000238	Hydrocephalus	cabeça cheia de água	caregiver	BR
HP:0000238	Hydrocephalus	cabeção de nascença	caregiver	BR
HP:0000238	Hydrocephalus	cabeça inchada	caregiver	BR
HP:0000256	Macrocephaly	cabeça grande	informal	BR
HP:0000256	Macrocephaly	cabeçudo	informal	BR
HP:0000256	Macrocephaly	cabeção	informal	BR
HP:0000252	Microcephaly	cabeça pequena	informal	BR
HP:0000252	Microcephaly	cabecinha	caregiver	BR
HP:0002808	Kyphosis	corcunda	informal	BR
HP:0002808	Kyphosis	coluna curvada	informal	BR
HP:0002808	Kyphosis	costas curvadas	informal	BR
HP:0002808	Kyphosis	giba	informal	BR
HP:0002808	Kyphosis	corcovado	informal	BR
HP:0002650	Scoliosis	coluna torta	informal	BR
HP:0002650	Scoliosis	coluna entortada	informal	BR
HP:0002650	Scoliosis	coluna desvio	informal	BR
HP:0002650	Scoliosis	desvio de coluna	informal	BR
HP:0000508	Ptosis	olho caído	informal	BR
HP:0000508	Ptosis	pálpebra caída	informal	BR
HP:0000508	Ptosis	olho meio fechado	caregiver	BR
HP:0000486	Strabismus	vesgo	informal	BR
HP:0000486	Strabismus	olho torto	informal	BR
HP:0000486	Strabismus	estrábico	informal	BR
HP:0000486	Strabismus	olho entortado	informal	BR
HP:0000639	Nystagmus	olho tremendo	informal	BR
HP:0000639	Nystagmus	dança dos olhos	informal	BR
HP:0000639	Nystagmus	olho balançando	caregiver	BR
HP:0001263	Global developmental delay	atraso no desenvolvimento	caregiver	BR
HP:0001263	Global developmental delay	atraso pra desenvolver	caregiver	BR
HP:0001263	Global developmental delay	não desenvolve igual os outros	caregiver	BR
HP:0001263	Global developmental delay	atrasado pra idade	caregiver	BR
HP:0001249	Intellectual disability	DI	informal	BR
HP:0001249	Intellectual disability	atraso cognitivo	caregiver	BR
HP:0001249	Intellectual disability	deficiente intelectual	informal	BR
HP:0001249	Intellectual disability	retardo mental	informal	BR
HP:0001249	Intellectual disability	criança especial	caregiver	BR
HP:0001249	Intellectual disability	aluno de AEE	caregiver	BR
HP:0001249	Intellectual disability	dificuldade de aprendizado	caregiver	BR
HP:0001252	Muscular hypotonia	bebê mole	caregiver	BR
HP:0001252	Muscular hypotonia	molinho	caregiver	BR
HP:0001252	Muscular hypotonia	frouxo	informal	BR
HP:0001252	Muscular hypotonia	sem firmeza	caregiver	BR
HP:0001252	Muscular hypotonia	amolecido	caregiver	BR
HP:0001276	Hypertonia	duro	caregiver	BR
HP:0001276	Hypertonia	endurecido	caregiver	BR
HP:0001276	Hypertonia	criança dura	caregiver	BR
HP:0002015	Dysphagia	engasga muito	caregiver	BR
HP:0002015	Dysphagia	dificuldade de engolir	informal	BR
HP:0002015	Dysphagia	entala comida	caregiver	BR
HP:0002015	Dysphagia	não consegue engolir	caregiver	BR
HP:0000713	Sialorrhea	baba muito	caregiver	BR
HP:0000713	Sialorrhea	babão	caregiver	BR
HP:0000713	Sialorrhea	escorre saliva	caregiver	BR
HP:0000713	Sialorrhea	saliva escorrendo	caregiver	BR
HP:0001508	Failure to thrive	não vinga	caregiver	BR
HP:0001508	Failure to thrive	não engorda	caregiver	BR
HP:0001508	Failure to thrive	não cresce	caregiver	BR
HP:0001508	Failure to thrive	definhando	caregiver	BR
HP:0001508	Failure to thrive	bebê que não ganha peso	caregiver	BR
HP:0001508	Failure to thrive	criança mirrada	regional	BR-NE
HP:0004322	Short stature	baixinho	informal	BR
HP:0004322	Short stature	nanico	informal	BR
HP:0004322	Short stature	pequeno pra idade	caregiver	BR
HP:0004322	Short stature	tamanco	regional	BR-NE
HP:0000098	Tall stature	muito alto pra idade	caregiver	BR
HP:0000098	Tall stature	esticado demais	informal	BR
HP:0000098	Tall stature	gigante	informal	BR
HP:0001392	Abnormality of the liver	fígado doente	informal	BR
HP:0001392	Abnormality of the liver	problema no fígado	informal	BR
HP:0002240	Hepatomegaly	fígado inchado	informal	BR
HP:0002240	Hepatomegaly	fígado grande	informal	BR
HP:0002240	Hepatomegaly	fígado aumentado	informal	BR
HP:0001744	Splenomegaly	baço inchado	informal	BR
HP:0001744	Splenomegaly	baço grande	informal	BR
HP:0001395	Hepatic fibrosis	fígado endurecido	informal	BR
HP:0001395	Hepatic fibrosis	fígado duro	informal	BR
HP:0000952	Jaundice	amarelão	informal	BR
HP:0000952	Jaundice	amarelou	informal	BR
HP:0000952	Jaundice	bebê amarelo	caregiver	BR
HP:0000952	Jaundice	olho amarelo	informal	BR
HP:0000952	Jaundice	pele amarelada	informal	BR
HP:0002017	Nausea and vomiting	enjoo	informal	BR
HP:0002017	Nausea and vomiting	vontade de vomitar	informal	BR
HP:0002017	Nausea and vomiting	ânsia de vômito	informal	BR
HP:0002017	Nausea and vomiting	enjoado	informal	BR
HP:0002019	Constipation	intestino preso	informal	BR
HP:0002019	Constipation	preso	informal	BR
HP:0002019	Constipation	não consegue ir ao banheiro	caregiver	BR
HP:0002019	Constipation	ressecado	informal	BR
HP:0002014	Diarrhea	diarreia	informal	BR
HP:0002014	Diarrhea	desarranjo	informal	BR

End of preview.

hpo-cultural-pt-curated

Dataset curado de sinônimos coloquiais brasileiros para fenótipos HPO. Primeira vez que é disponibilizado aberto.

Conteúdo

cultural_pairs.json — 705 pares (anchor PT coloquial → HPO canonical EN) com register, region, hpo_id
hard_negatives.json — 72 triplets (anchor, positive, negative) para desambiguação

Exemplos

"água na cabeça" → Hydrocephalus (HP:0000238)
"esparro" (BR-NE) → Seizure (HP:0001250)
"cabeção" → Macrocephaly (HP:0000256)
"não vinga" → Failure to thrive (HP:0001508)

Uso

Treinar encoders PT-BR para HPO. Modelo derivado: timmers/araras-biolord-cultural-pt-v9.

Licença

CC BY-SA 4.0

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Total file size:

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