The dataset viewer is not available for this subset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
~~~~~~~~~~~~~~~~~~~~~~~~~^
StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/parquet/parquet.py", line 127, in _split_generators
self.info.features = datasets.Features.from_arrow_schema(pq.read_schema(f))
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 2043, in from_arrow_schema
else generate_from_arrow_type(field.type)
~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 1694, in generate_from_arrow_type
return Value(dtype=_arrow_to_datasets_dtype(pa_type))
~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/features/features.py", line 127, in _arrow_to_datasets_dtype
raise ValueError(f"Arrow type {arrow_type} does not have a datasets dtype equivalent.")
ValueError: Arrow type map<string, string ('external_ids')> does not have a datasets dtype equivalent.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 68, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
~~~~~~~~~~~~~~~~~~~~~~~^
path=dataset,
^^^^^^^^^^^^^
config_name=config,
^^^^^^^^^^^^^^^^^^^
token=hf_token,
^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
path,
...<6 lines>...
**config_kwargs,
)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.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.
ipfs_brazil_courts
Courts table (schema: world_laws_plan/courts/schema/courts_schema.py). Source: CNJ Justiça em Números SIESPJ database (tribunal list and federal judicial sections; tribunal level only, no addresses). Sources: https://www.cnj.jus.br/wp-content/uploads/2026/06/23-jun-2026.zip. Geo only from official source fields (geo_source). PII sweep applied (free webmail, personal mobiles, national IDs); office phones and institutional emails retained.
Rows
- courts: 118 rows (data/courts-00000.parquet)
Robots evidence
- https://www.cnj.jus.br/robots.txt checked 2026-10-26 16:20 PT: HTTP 200, 'User-agent: * Allow: /' (Disallow lines apply only to Googlebot). Paths used: /pesquisas-judiciarias/justica-em-numeros/base-de-dados/ and /wp-content/uploads/2026/06/23-jun-2026.zip — allowed.
Licence
- Licence stated by the source: no licence stated; public access to the SIESPJ database under CNJ Portaria n. 216/2012 and Lei 12.527/2011 (Lei de Acesso à Informação)
- Re-use basis: public data under Lei 12.527/2011 and CNJ Portaria 216/2012
- Attribution: Source: Conselho Nacional de Justiça (CNJ), Justiça em Números – Base de Dados
- Licence label used in this dataset:
cnj-siespj-public-data(https://www.cnj.jus.br/pesquisas-judiciarias/justica-em-numeros/base-de-dados/)
This is an unofficial copy of public information published by the source; the source website remains the authoritative version.
Disclaimer
Not legal advice. Court details (addresses, hours, contacts) change; verify with the court or the official source before relying on them.
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