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living-catalog

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train

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
id: string
kind: string
role: string
url: string
visibility: string
status: string
downloads: int64
likes: int64
last_modified: timestamp[s]
notes: string
sdk: string
write_path: string
hf_pro: bool
register: string
generated: timestamp[s]
board: string
issuer: string
schema: string
counts: struct<datasets: int64, spaces: int64, models: int64, apis: int64, rag_chunks: int64, rows: int64, i (... 33 chars omitted)
  child 0, datasets: int64
  child 1, spaces: int64
  child 2, models: int64
  child 3, apis: int64
  child 4, rag_chunks: int64
  child 5, rows: int64
  child 6, internal_hidden_from_space: int64
items: list<item: struct<id: string, kind: string, role: string, url: string, visibility: string, status: s (... 96 chars omitted)
  child 0, item: struct<id: string, kind: string, role: string, url: string, visibility: string, status: string, down (... 84 chars omitted)
      child 0, id: string
      child 1, kind: string
      child 2, role: string
      child 3, url: string
      child 4, visibility: string
      child 5, status: string
      child 6, downloads: int64
      child 7, likes: int64
      child 8, last_modified: timestamp[s]
      child 9, notes: string
      child 10, sdk: string
to
{'schema': Value('string'), 'generated': Value('timestamp[s]'), 'issuer': Value('string'), 'board': Value('string'), 'register': Value('string'), 'hf_pro': Value('bool'), 'counts': {'datasets': Value('int64'), 'spaces': Value('int64'), 'models': Value('int64'), 'apis': Value('int64'), 'rag_chunks': Value('int64'), 'rows': Value('int64'), 'internal_hidden_from_space': Value('int64')}, 'write_path': Value('string'), 'items': List({'id': Value('string'), 'kind': Value('string'), 'role': Value('string'), 'url': Value('string'), 'visibility': Value('string'), 'status': Value('string'), 'downloads': Value('int64'), 'likes': Value('int64'), 'last_modified': Value('timestamp[s]'), 'notes': Value('string'), 'sdk': 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 2840, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, 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 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
              kind: string
              role: string
              url: string
              visibility: string
              status: string
              downloads: int64
              likes: int64
              last_modified: timestamp[s]
              notes: string
              sdk: string
              write_path: string
              hf_pro: bool
              register: string
              generated: timestamp[s]
              board: string
              issuer: string
              schema: string
              counts: struct<datasets: int64, spaces: int64, models: int64, apis: int64, rag_chunks: int64, rows: int64, i (... 33 chars omitted)
                child 0, datasets: int64
                child 1, spaces: int64
                child 2, models: int64
                child 3, apis: int64
                child 4, rag_chunks: int64
                child 5, rows: int64
                child 6, internal_hidden_from_space: int64
              items: list<item: struct<id: string, kind: string, role: string, url: string, visibility: string, status: s (... 96 chars omitted)
                child 0, item: struct<id: string, kind: string, role: string, url: string, visibility: string, status: string, down (... 84 chars omitted)
                    child 0, id: string
                    child 1, kind: string
                    child 2, role: string
                    child 3, url: string
                    child 4, visibility: string
                    child 5, status: string
                    child 6, downloads: int64
                    child 7, likes: int64
                    child 8, last_modified: timestamp[s]
                    child 9, notes: string
                    child 10, sdk: string
              to
              {'schema': Value('string'), 'generated': Value('timestamp[s]'), 'issuer': Value('string'), 'board': Value('string'), 'register': Value('string'), 'hf_pro': Value('bool'), 'counts': {'datasets': Value('int64'), 'spaces': Value('int64'), 'models': Value('int64'), 'apis': Value('int64'), 'rag_chunks': Value('int64'), 'rows': Value('int64'), 'internal_hidden_from_space': Value('int64')}, 'write_path': Value('string'), 'items': List({'id': Value('string'), 'kind': Value('string'), 'role': Value('string'), 'url': Value('string'), 'visibility': Value('string'), 'status': Value('string'), 'downloads': Value('int64'), 'likes': Value('int64'), 'last_modified': Value('timestamp[s]'), 'notes': Value('string'), 'sdk': Value('string')})}
              because column names don't match

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GET https://councilof.ai/api/gspc — 22 axis · 15 measured · 7 empty. Not certification.

Living catalog

This is the directory of record. Every public Council of AI dataset, Space, model, API, and RAG pointer is a row. Rebuild by running publish_living_catalog.py (overnight keeper calls it).

Viewer Space: https://huggingface.co/spaces/csoai/living-catalog
Living board: GET https://councilof.ai/api/gspc (counts are derived there, never typed here as scores)
Verify: https://councilof.ai/gspc-verify (free forever)

What this is not

Not a certification register.
Not csoai/csoai-rag-corpus (that dump is 11k training files; indexed here as rag-dump).
Not the RunPod /workspace/RAG volume (compute-adjacent cache; canonical banks live on the Hub).

Write path

Any producer (measurement run, Space, dataset push) should land as a Hub object under csoai/. This catalog is rebuilt from the Hub API — so the Hub is the database. Do not keep a second inventory on the Mac.

Internal slugs (oowm-*, sov*) stay in the JSON with visibility: internal and are not promoted on the Space.

Measurement, not certification.

Downloads last month: 28

Total file size:

142 kB

Space using csoai/living-catalog 1

Collection including csoai/living-catalog

GSPC measurement banks (Council of AI)

Collection

GET https://councilof.ai/api/gspc — 22 axis · 15 measured · 7 empty. Not certification. • 32 items • Updated about 18 hours ago