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Datasets:
csoai
/
gspc-pulse

Tasks:
Time Series Forecasting
Question Answering
Modalities:
Time-series
Languages:
English
Size:
n<1K
Tags:
gspc
council-of-ai
ai-governance
measurement
attestation
transparency
License:
Dataset card Files
xet
 Community
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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
ts: timestamp[s]
sha: string
chain_head: string
pubkey_fp: string
merkle_root: string
pubkey: string
schema: string
leaf_count: int64
last_ts: timestamp[s]
n_rows: int64
produced_at: timestamp[s]
doctrine: string
first_ts: timestamp[s]
to
{'schema': Value('string'), 'produced_at': Value('timestamp[s]'), 'n_rows': Value('int64'), 'first_ts': Value('timestamp[s]'), 'last_ts': Value('timestamp[s]'), 'chain_head': Value('string'), 'merkle_root': Value('string'), 'leaf_count': Value('int64'), 'pubkey': Value('string'), 'pubkey_fp': Value('string'), 'doctrine': 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 544, 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 3052, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2559, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2584, 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 558, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, 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 361, 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 2381, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              ts: timestamp[s]
              sha: string
              chain_head: string
              pubkey_fp: string
              merkle_root: string
              pubkey: string
              schema: string
              leaf_count: int64
              last_ts: timestamp[s]
              n_rows: int64
              produced_at: timestamp[s]
              doctrine: string
              first_ts: timestamp[s]
              to
              {'schema': Value('string'), 'produced_at': Value('timestamp[s]'), 'n_rows': Value('int64'), 'first_ts': Value('timestamp[s]'), 'last_ts': Value('timestamp[s]'), 'chain_head': Value('string'), 'merkle_root': Value('string'), 'leaf_count': Value('int64'), 'pubkey': Value('string'), 'pubkey_fp': Value('string'), 'doctrine': Value('string')}
              because column names don't match

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GSPC Pulse — the verifiable AI-governance evidence timeseries (CC0)

Append-only, timestamped snapshots of the GSPC live measurement loop: the 34-axis AI-governance board, the measurement-capsule index (OTS/Rekor anchored), the public card registry, HuggingFace open-source model signal (trending + 30-day new-with-traction cohort — never a downloads leaderboard), CISA Known Exploited Vulnerabilities, the global MCP handshake census, x402 catalog trust, and the DORA/XRPL signed-evidence corpus. One JSONL row per cycle; timeseries.csv is the flat-counter view; DIGEST.md is the one-glance state.

License: CC0 1.0 (public domain dedication) — no attribution required, though citation is appreciated:

Council of AI, "GSPC Pulse — verifiable AI-governance evidence timeseries", https://huggingface.co/datasets/csoai/gspc-pulse (retrieved ).

Verify, don't trust (free, no account)

Doctrine

Measurement, not certification — states only, never grades or ranks. An auth challenge is a term sheet, not delivery. A 402 is NOT delivery. Relevant-to is never a determination. PENDING is never attested. Unreachable is never FAIL. Every number carries its source's own as_of.

Fields

See PULSE-README.md in this repo for the block-by-block schema (board/capsules/root/cards/hf/kev/mcp/x402/evidence/writer).
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