Dataset Viewer
The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code: FeaturesError
Exception: ArrowInvalid
Message: JSON parse error: Column(/referencias-normativas/referencia-normativa) changed from array to object in row 2
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 160, in _generate_tables
df = pandas_read_json(f)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 38, in pandas_read_json
return pd.read_json(path_or_buf, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 815, in read_json
return json_reader.read()
File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 1025, in read
obj = self._get_object_parser(self.data)
File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 1051, in _get_object_parser
obj = FrameParser(json, **kwargs).parse()
File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 1187, in parse
self._parse()
File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/json/_json.py", line 1403, in _parse
ujson_loads(json, precise_float=self.precise_float), dtype=None
ValueError: Trailing data
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 231, in compute_first_rows_from_streaming_response
iterable_dataset = iterable_dataset._resolve_features()
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 3212, in _resolve_features
features = _infer_features_from_batch(self.with_format(None)._head())
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2051, in _head
return _examples_to_batch(list(self.take(n)))
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2226, in __iter__
for key, example in ex_iterable:
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1677, in __iter__
for key_example in islice(self.ex_iterable, self.n - ex_iterable_num_taken):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 299, in __iter__
for key, pa_table in self.generate_tables_fn(**gen_kwags):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 163, in _generate_tables
raise e
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/json/json.py", line 137, in _generate_tables
pa_table = paj.read_json(
File "pyarrow/_json.pyx", line 308, in pyarrow._json.read_json
File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: JSON parse error: Column(/referencias-normativas/referencia-normativa) changed from array to object in row 2Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Jurisprudencia de la Repùblica Argentina - Sistema Argentino de Información Jurídica
Este dataset es actualizado diariamente con la información de SAIJ utilizando la librería de SandboxAI
Formato
El formato del dataset es el siguiente:
{
"numero-sumario": "Número de identificación del sumario",
"materia": "Área del derecho a la que pertenece el caso",
"timestamp": "Fecha y hora de creación del registro",
"timestamp-m": "Fecha y hora de la última modificación del registro",
"sumario": "Resumen del caso",
"caratula": "Título del caso",
"descriptores": {
"descriptor": [
{
"elegido": {
"termino": "Término elegido para describir al caso"
},
"preferido": {
"termino": "Término preferido para describir al caso"
},
"sinonimos": {
"termino": ["Lista de sinónimos"]
}
}
],
"suggest": {
"termino": ["Lista de términos sugeridos"]
}
},
"fecha": "Fecha del caso",
"instancia": "Instancia judicial",
"jurisdiccion": {
"codigo": "Código de la jurisdicción",
"descripcion": "Descripción de la jurisdicción",
"capital": "Capital de la jurisdicción",
"id-pais": "ID del país"
},
"numero-interno": "Número interno del caso",
"provincia": "Provincia donde se lleva el caso",
"tipo-tribunal": "Tipo de tribunal",
"referencias-normativas": {
"referencia-normativa": {
"cr": "Referencia cruzada",
"id": "ID de la referencia normativa",
"ref": "Referencia normativa"
}
},
"fecha-alta": "Fecha de alta del registro",
"fecha-mod": "Fecha de última modificación del registro",
"fuente": "Fuente del registro",
"uid-alta": "UID de alta",
"uid-mod": "UID de modificación",
"texto": "Texto completo del caso",
"id-infojus": "ID de Infojus",
"titulo": "Título del sumario",
"guid": "GUID del registro"
}
Uso
Podés usar este dataset sin descargarlo por completo, trayendo data filtrada con un solo query. Podes hacerlo así:
# En este ejemplo, filtramos entradas por fecha
import requests
API_TOKEN = "tu_api_token"
headers = {"Authorization": f"Bearer {API_TOKEN}"}
date='2024-03-01'
API_URL = f"https://datasets-server.huggingface.co/filter?dataset=marianbasti/jurisprudencia-Argentina-SAIJ&config=default&split=train&where=timestamp='{date}T00:00:00'"
def query():
response = requests.get(API_URL, headers=headers)
return response.json()
data = query()
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