Datasets:

JesusIC
/

vota-con-la-chola-raw

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Spanish

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train

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:      Schema at index 1 was different: 
blocks_count: int64
dataset_repo: string
files_count: int64
project: string
snapshot_date: timestamp[s]
snapshot_dir: string
updated_at: timestamp[s]
vs
dataset_repo: string
files: list<item: struct<bytes: int64, path: string, sha256: string>>
generated_at: timestamp[s]
project: string
raw_dir: string
snapshot_date: timestamp[s]
snapshot_dir: string
stats: struct<blocks_count: int64, files_bytes_total: int64, files_count: int64, include_manual: bool>
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 243, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 3608, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2368, in _head
                  return next(iter(self.iter(batch_size=n)))
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2573, in iter
                  for key, example in iterator:
                                      ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2060, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2082, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 588, in _iter_arrow
                  yield new_key, pa.Table.from_batches(chunks_buffer)
                                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "pyarrow/table.pxi", line 5039, in pyarrow.lib.Table.from_batches
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              blocks_count: int64
              dataset_repo: string
              files_count: int64
              project: string
              snapshot_date: timestamp[s]
              snapshot_dir: string
              updated_at: timestamp[s]
              vs
              dataset_repo: string
              files: list<item: struct<bytes: int64, path: string, sha256: string>>
              generated_at: timestamp[s]
              project: string
              raw_dir: string
              snapshot_date: timestamp[s]
              snapshot_dir: string
              stats: struct<blocks_count: int64, files_bytes_total: int64, files_count: int64, include_manual: bool>

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YAML Metadata Warning:The task_categories "data-collection" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other

Vota Con La Chola - Raw Blocks

Dataset raw del proyecto JesusIC/vota-con-la-chola-raw.

Repositorio fuente: https://github.com/gsusI/vota-con-la-chola

Contrato de empaquetado:

Bloques tar.gz con hasta 10000 ficheros por bloque.
Cada bloque incluye un .manifest.jsonl con path, bytes, sha256 y mtime_unix por archivo.
Se publica raw_blocks_index.json con resumen y checksums de bloques.

Ruta del snapshot publicado:

snapshots/2026-02-12 (snapshot_date=2026-02-12)

Archivos por snapshot:

snapshots/2026-02-12/raw_blocks/block-*.tar.gz
snapshots/2026-02-12/raw_blocks/block-*.manifest.jsonl
snapshots/2026-02-12/raw_blocks_index.json
snapshots/2026-02-12/manifest.json
snapshots/2026-02-12/checksums.sha256

Privacidad y exclusiones:

include_manual=false
Excluidos por defecto patrones sensibles de perfiles/cookies/storage de navegador.
Este dataset no implica respaldo institucional de las fuentes.

Patrones de exclusión activos:

**/.DS_Store
**/.gitkeep
**/.headful-profile/**
**/*_profile/**
**/profile/**
**/Cookies
**/Cookies-journal
**/Login Data
**/Login Data*
**/Web Data
**/History
**/History*
**/Local Storage/**
**/Session Storage/**
**/Code Cache/**
**/*cookie*.json
**/*storage*.json

Bloques en este snapshot: 2

Actualización:

just etl-publish-hf-raw-dry-run para validar empaquetado.
just etl-publish-hf-raw para publicar actualización.

Downloads last month: 14

Total file size:

413 MB