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Datasets:
edithatogo
/
quesabes-archive-uy

Tasks:
Text Retrieval
Languages:
Spanish
Tags:
public-information
freedom-of-information
government-transparency
alaveteli
web-archive
warc
License:
Dataset card Files
xet
 Community
Dataset Viewer
Duplicate
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
extracted_record_count: int64
generated_at: string
input_record_count: int64
input_sha256: string
instance_id: string
processed_record_count: int64
records: list<item: struct<archive_digest: string, archive_timestamp: string, archive_url: string, authority: (... 232 chars omitted)
  child 0, item: struct<archive_digest: string, archive_timestamp: string, archive_url: string, authority: string, co (... 220 chars omitted)
      child 0, archive_digest: string
      child 1, archive_timestamp: string
      child 2, archive_url: string
      child 3, authority: string
      child 4, content_sha256: string
      child 5, extracted_at: string
      child 6, extraction_status: string
      child 7, first_seen: null
      child 8, instance_id: string
      child 9, last_updated: null
      child 10, request_key: string
      child 11, source_url: string
      child 12, state: string
      child 13, title: string
      child 14, diagnostic: string
schema: string
artifacts: list<item: struct<byte_count: int64, name: string, sha256: string>>
  child 0, item: struct<byte_count: int64, name: string, sha256: string>
      child 0, byte_count: int64
      child 1, name: string
      child 2, sha256: string
replay_timeout_seconds: int64
status_artifact: string
manifest_sha256: string
replay_delay_seconds: int64
replay_limit_per_instance: int64
source: string
to
{'artifacts': List({'byte_count': Value('int64'), 'name': Value('string'), 'sha256': Value('string')}), 'generated_at': Value('string'), 'instance_id': Value('string'), 'manifest_sha256': Value('string'), 'replay_delay_seconds': Value('int64'), 'replay_limit_per_instance': Value('int64'), 'replay_timeout_seconds': Value('int64'), 'schema': Value('string'), 'source': Value('string'), 'status_artifact': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 149, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 129, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 489, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              extracted_record_count: int64
              generated_at: string
              input_record_count: int64
              input_sha256: string
              instance_id: string
              processed_record_count: int64
              records: list<item: struct<archive_digest: string, archive_timestamp: string, archive_url: string, authority: (... 232 chars omitted)
                child 0, item: struct<archive_digest: string, archive_timestamp: string, archive_url: string, authority: string, co (... 220 chars omitted)
                    child 0, archive_digest: string
                    child 1, archive_timestamp: string
                    child 2, archive_url: string
                    child 3, authority: string
                    child 4, content_sha256: string
                    child 5, extracted_at: string
                    child 6, extraction_status: string
                    child 7, first_seen: null
                    child 8, instance_id: string
                    child 9, last_updated: null
                    child 10, request_key: string
                    child 11, source_url: string
                    child 12, state: string
                    child 13, title: string
                    child 14, diagnostic: string
              schema: string
              artifacts: list<item: struct<byte_count: int64, name: string, sha256: string>>
                child 0, item: struct<byte_count: int64, name: string, sha256: string>
                    child 0, byte_count: int64
                    child 1, name: string
                    child 2, sha256: string
              replay_timeout_seconds: int64
              status_artifact: string
              manifest_sha256: string
              replay_delay_seconds: int64
              replay_limit_per_instance: int64
              source: string
              to
              {'artifacts': List({'byte_count': Value('int64'), 'name': Value('string'), 'sha256': Value('string')}), 'generated_at': Value('string'), 'instance_id': Value('string'), 'manifest_sha256': Value('string'), 'replay_delay_seconds': Value('int64'), 'replay_limit_per_instance': Value('int64'), 'replay_timeout_seconds': Value('int64'), 'schema': Value('string'), 'source': Value('string'), 'status_artifact': Value('string')}
              because column names don't match

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Qué Sabés public-information register

Read-only public-information request archive for https://quesabes.org (UY; Spanish). This dataset belongs to the dedicated fyi-archive collection.

Publication status

  • Instance id: uy-quesabes
  • Operational status: experimental
  • Canonical source: https://quesabes.org/
  • Dataset repository: edithatogo/quesabes-archive-uy

This repository is an experimental, independently scoped archive. A repository shell or dataset card does not imply that collection is complete or currently active.

Provenance and acquisition modes

The orchestration source is edithatogo/fyi-archive. Capture is read-only, rate-limited, independently checkpointed per site, and performed through publicly available source interfaces and archival evidence. Configured source modes:

  • live_api
  • atom_feed
  • authority_catalog
  • internet_archive

Intended use

Public-interest and policy research, journalism, reproducible historical preservation, and transparency analysis. This archive is not a certified legal record, legal advice, or a substitute for the upstream site.

Data availability and loading

The repository card is always published before archive payloads. A Dataset Viewer configuration is added only when a verified Parquet manifest exists. Until then, inspect the repository without assuming a split:

from huggingface_hub import HfApi

files = HfApi().list_repo_files("edithatogo/quesabes-archive-uy", repo_type="dataset")
print(files)

After manifests/latest_manifest.parquet is published and verified, it can be queried with DuckDB or loaded explicitly as Parquet. The canonical manifest contract is schemas/manifest.schema.json; source-specific unavailable values remain null rather than being inferred.

Rights, privacy, and limitations

Public availability does not create a blanket reuse licence. Archived records retain their source rights, attribution, privacy, and takedown constraints; the repository code alone is MIT-licensed. Coverage is point-in-time and may be incomplete. No percentage coverage is claimed without a defensible source denominator. See the copyright, ethics, and notice documentation.

Citation 

@dataset{mordaunt_uy_quesabes_archive,
  author = {Dylan Mordaunt},
  title = {Qué Sabés public-information register},
  year = {2026},
  url = {https://huggingface.co/datasets/edithatogo/quesabes-archive-uy}
}
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