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
schema: string
generated: timestamp[s]
note: string
greenfields: list<item: struct<id: string, bench: string, axis: string, n: int64, lng: double, lat: double, seat: (... 1223 chars omitted)
  child 0, item: struct<id: string, bench: string, axis: string, n: int64, lng: double, lat: double, seat: string, in (... 1211 chars omitted)
      child 0, id: string
      child 1, bench: string
      child 2, axis: string
      child 3, n: int64
      child 4, lng: double
      child 5, lat: double
      child 6, seat: string
      child 7, instrument: string
      child 8, task: string
      child 9, macro_f1: null
      child 10, unparsed_rate: double
      child 11, status: string
      child 12, kaggle: string
      child 13, page: string
      child 14, marks: struct<dataset: bool, card: bool, space: bool, spaceTool: bool, kaggle: bool, page: bool, pageTool:  (... 78 chars omitted)
          child 0, dataset: bool
          child 1, card: bool
          child 2, space: bool
          child 3, spaceTool: bool
          child 4, kaggle: bool
          child 5, page: bool
          child 6, pageTool: bool
          child 7, lmeval: bool
          child 8, inspect: bool
          child 9, measured: bool
          child 10, arena: bool
          child 11, sitemap: bool
      child 15, tool: string
      child 16, runs: list<item: struct<model: string, harness: string, macro_f1: double, accuracy: double, unparsed_rate: (... 233 chars omitted)
          child 0, item: struct<model: stri
...
.json: struct<sha256: string, bytes:  (... 485 chars omitted)
  child 0, dataset: string
  child 1, assets: struct<clan_routing_table_FINAL.json: struct<sha256: string, bytes: int64>, arena_binom_12axes.json: (... 431 chars omitted)
      child 0, clan_routing_table_FINAL.json: struct<sha256: string, bytes: int64>
          child 0, sha256: string
          child 1, bytes: int64
      child 1, arena_binom_12axes.json: struct<sha256: string, bytes: int64>
          child 0, sha256: string
          child 1, bytes: int64
      child 2, gsm8k_benchmark_agnostic_proof.json: struct<sha256: string, bytes: int64>
          child 0, sha256: string
          child 1, bytes: int64
      child 3, README.md: struct<sha256: string, bytes: int64>
          child 0, sha256: string
          child 1, bytes: int64
      child 4, council34_board.json: struct<sha256: string, bytes: int64, renamed_from: string>
          child 0, sha256: string
          child 1, bytes: int64
          child 2, renamed_from: string
      child 5, trained_family_map.json: struct<sha256: string, bytes: int64, renamed_from: string>
          child 0, sha256: string
          child 1, bytes: int64
          child 2, renamed_from: string
      child 6, trained_model_results.json: struct<sha256: string, bytes: int64, renamed_from: string, note: string>
          child 0, sha256: string
          child 1, bytes: int64
          child 2, renamed_from: string
          child 3, note: string
  child 2, rename_note: string
to
{'manifest': {'dataset': Value('string'), 'assets': {'clan_routing_table_FINAL.json': {'sha256': Value('string'), 'bytes': Value('int64')}, 'arena_binom_12axes.json': {'sha256': Value('string'), 'bytes': Value('int64')}, 'gsm8k_benchmark_agnostic_proof.json': {'sha256': Value('string'), 'bytes': Value('int64')}, 'README.md': {'sha256': Value('string'), 'bytes': Value('int64')}, 'council34_board.json': {'sha256': Value('string'), 'bytes': Value('int64'), 'renamed_from': Value('string')}, 'trained_family_map.json': {'sha256': Value('string'), 'bytes': Value('int64'), 'renamed_from': Value('string')}, 'trained_model_results.json': {'sha256': Value('string'), 'bytes': Value('int64'), 'renamed_from': Value('string'), 'note': Value('string')}}, 'rename_note': Value('string')}, 'sig_ed25519': Value('string'), 'pubkey_ed25519': Value('string'), 'signer': Value('string'), 'alg': Value('string'), 'verify': Value('string'), 'c2pa_lib': 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
              schema: string
              generated: timestamp[s]
              note: string
              greenfields: list<item: struct<id: string, bench: string, axis: string, n: int64, lng: double, lat: double, seat: (... 1223 chars omitted)
                child 0, item: struct<id: string, bench: string, axis: string, n: int64, lng: double, lat: double, seat: string, in (... 1211 chars omitted)
                    child 0, id: string
                    child 1, bench: string
                    child 2, axis: string
                    child 3, n: int64
                    child 4, lng: double
                    child 5, lat: double
                    child 6, seat: string
                    child 7, instrument: string
                    child 8, task: string
                    child 9, macro_f1: null
                    child 10, unparsed_rate: double
                    child 11, status: string
                    child 12, kaggle: string
                    child 13, page: string
                    child 14, marks: struct<dataset: bool, card: bool, space: bool, spaceTool: bool, kaggle: bool, page: bool, pageTool:  (... 78 chars omitted)
                        child 0, dataset: bool
                        child 1, card: bool
                        child 2, space: bool
                        child 3, spaceTool: bool
                        child 4, kaggle: bool
                        child 5, page: bool
                        child 6, pageTool: bool
                        child 7, lmeval: bool
                        child 8, inspect: bool
                        child 9, measured: bool
                        child 10, arena: bool
                        child 11, sitemap: bool
                    child 15, tool: string
                    child 16, runs: list<item: struct<model: string, harness: string, macro_f1: double, accuracy: double, unparsed_rate: (... 233 chars omitted)
                        child 0, item: struct<model: stri
              ...
              .json: struct<sha256: string, bytes:  (... 485 chars omitted)
                child 0, dataset: string
                child 1, assets: struct<clan_routing_table_FINAL.json: struct<sha256: string, bytes: int64>, arena_binom_12axes.json: (... 431 chars omitted)
                    child 0, clan_routing_table_FINAL.json: struct<sha256: string, bytes: int64>
                        child 0, sha256: string
                        child 1, bytes: int64
                    child 1, arena_binom_12axes.json: struct<sha256: string, bytes: int64>
                        child 0, sha256: string
                        child 1, bytes: int64
                    child 2, gsm8k_benchmark_agnostic_proof.json: struct<sha256: string, bytes: int64>
                        child 0, sha256: string
                        child 1, bytes: int64
                    child 3, README.md: struct<sha256: string, bytes: int64>
                        child 0, sha256: string
                        child 1, bytes: int64
                    child 4, council34_board.json: struct<sha256: string, bytes: int64, renamed_from: string>
                        child 0, sha256: string
                        child 1, bytes: int64
                        child 2, renamed_from: string
                    child 5, trained_family_map.json: struct<sha256: string, bytes: int64, renamed_from: string>
                        child 0, sha256: string
                        child 1, bytes: int64
                        child 2, renamed_from: string
                    child 6, trained_model_results.json: struct<sha256: string, bytes: int64, renamed_from: string, note: string>
                        child 0, sha256: string
                        child 1, bytes: int64
                        child 2, renamed_from: string
                        child 3, note: string
                child 2, rename_note: string
              to
              {'manifest': {'dataset': Value('string'), 'assets': {'clan_routing_table_FINAL.json': {'sha256': Value('string'), 'bytes': Value('int64')}, 'arena_binom_12axes.json': {'sha256': Value('string'), 'bytes': Value('int64')}, 'gsm8k_benchmark_agnostic_proof.json': {'sha256': Value('string'), 'bytes': Value('int64')}, 'README.md': {'sha256': Value('string'), 'bytes': Value('int64')}, 'council34_board.json': {'sha256': Value('string'), 'bytes': Value('int64'), 'renamed_from': Value('string')}, 'trained_family_map.json': {'sha256': Value('string'), 'bytes': Value('int64'), 'renamed_from': Value('string')}, 'trained_model_results.json': {'sha256': Value('string'), 'bytes': Value('int64'), 'renamed_from': Value('string'), 'note': Value('string')}}, 'rename_note': Value('string')}, 'sig_ed25519': Value('string'), 'pubkey_ed25519': Value('string'), 'signer': Value('string'), 'alg': Value('string'), 'verify': Value('string'), 'c2pa_lib': Value('string')}
              because column names don't match

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

GSPC Arena Results — Cross-Model Per-Axis Routing

Real measured results from the GSPC arena: 8 models scored across 12 GSPC governance axes via the model relay, n=20/cell with Wilson confidence intervals.

Contents

  • clan_routing_table_FINAL.json — per-axis winner + CI (8/12 trained-family-won, falcon3 4/12)
  • arena_binom_12axes.json — 12 axes, all above chance (binomial-verified, correct per-axis baselines)
  • council34_board.json — trained model full board
  • gsm8k_benchmark_agnostic_proof.json — proof the harness scores any benchmark (GSM8K, not just GSPC)
  • trained_family_map.json — the ~30 trained model variants

Honest caveats

  • n=20/cell: routing winners have overlapping CIs; ~half the per-axis winners are statistical ties.
  • Scores are single-run temperature-0; indicative of specialization, not final rankings.

Naming corrected 2026-08-12: product/weights language (SOV3, 'sovereign model relay', 'sovereign variants') replaced with neutral measurement terms per the estate naming canon — sovereign-class names are internal only. Factual filenames retained; a filename rename is a deeper follow-up.

File rename 2026-08-13: sov34_board.json → council34_board.json, sovereign_family_map.json → trained_family_map.json, sov_training_results.json → trained_model_results.json. Contents byte-identical (hashes in PROVENANCE_SIGNED.json unchanged); internal model identifiers inside historical result files are preserved as-measured. Completes the card neutralisation started 2026-08-12.

Downloads last month
74