Datasets:

GovDataHub
/

general-open-datasets

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
id: string
portal_id: string
title: string
description: string
landing_url: string
license: string
license_source: string
publisher: string
tags: string
last_seen_at: string
vertical_suggested: string
datasets_cleared: int64
datasets_excluded_unlicensed: int64
source: string
buckets: struct<climate-energy: int64, economy-small-business: int64, general: int64>
  child 0, climate-energy: int64
  child 1, economy-small-business: int64
  child 2, general: int64
license_policy: string
generated_at: string
to
{'generated_at': Value('string'), 'source': Value('string'), 'datasets_cleared': Value('int64'), 'datasets_excluded_unlicensed': Value('int64'), 'buckets': {'climate-energy': Value('int64'), 'economy-small-business': Value('int64'), 'general': Value('int64')}, 'license_policy': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, 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 127, 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 483, 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 2951, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, 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 547, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, 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 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              id: string
              portal_id: string
              title: string
              description: string
              landing_url: string
              license: string
              license_source: string
              publisher: string
              tags: string
              last_seen_at: string
              vertical_suggested: string
              datasets_cleared: int64
              datasets_excluded_unlicensed: int64
              source: string
              buckets: struct<climate-energy: int64, economy-small-business: int64, general: int64>
                child 0, climate-energy: int64
                child 1, economy-small-business: int64
                child 2, general: int64
              license_policy: string
              generated_at: string
              to
              {'generated_at': Value('string'), 'source': Value('string'), 'datasets_cleared': Value('int64'), 'datasets_excluded_unlicensed': Value('int64'), 'buckets': {'climate-energy': Value('int64'), 'economy-small-business': Value('int64'), 'general': Value('int64')}, 'license_policy': Value('string')}
              because column names don't match

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YAML Metadata Warning:The task_categories "tabular" 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

GovDataHub — General Open Datasets

Curated catalog of 1,524 license-verified open government datasets harvested from data.gov (US), data.gov.uk, Socrata, Zenodo, Hugging Face, and national CKAN portals that fall outside the climate/energy and economy/small-business verticals.

Part of GovDataHub — a living catalog project that polls its sources daily and publishes human-reviewed releases.

Files

File	Contents
`general.csv`	One row per dataset: title, description, landing URL, portal, license, license source, publisher, tags, vertical label, last-seen timestamp
`general.json`	Same records as JSON
`LICENSES.md`	License & attribution register
`export-manifest.json`	Generation metadata and counts

License

The catalog compilation is published under CC-BY-4.0. Underlying datasets retain their own licenses — US public domain, public domain, CC0, CC-BY, UK Open Government Licence v3.0, or the Open Government Licence – Canada family. See LICENSES.md; OGL rows require the attribution statement:

Contains public sector information licensed under the Open Government Licence v3.0.

This is a metadata index, not a data mirror — verify current terms and availability at each dataset's landing_url.

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