Datasets:

csoai
/

fleet-sweep-v0.2

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
rows: list<item: struct<bank: string, model: string, ok: bool, hit: bool, expected: string, answer: string (... 53 chars omitted)
  child 0, item: struct<bank: string, model: string, ok: bool, hit: bool, expected: string, answer: string, latency:  (... 41 chars omitted)
      child 0, bank: string
      child 1, model: string
      child 2, ok: bool
      child 3, hit: bool
      child 4, expected: string
      child 5, answer: string
      child 6, latency: double
      child 7, row_idx: int64
      child 8, ts: timestamp[s]
summary: struct<gspc-mcp: struct<meok-gspc-qwen3-1.7b:latest: struct<n_scored: int64, hits: int64, acc: doubl (... 2565 chars omitted)
  child 0, gspc-mcp: struct<meok-gspc-qwen3-1.7b:latest: struct<n_scored: int64, hits: int64, acc: double>, gspc-qwen3-1. (... 331 chars omitted)
      child 0, meok-gspc-qwen3-1.7b:latest: struct<n_scored: int64, hits: int64, acc: double>
          child 0, n_scored: int64
          child 1, hits: int64
          child 2, acc: double
      child 1, gspc-qwen3-1.7b-16k:latest: struct<n_scored: int64, hits: int64, acc: double>
          child 0, n_scored: int64
          child 1, hits: int64
          child 2, acc: double
      child 2, qwen3:1.7b: struct<n_scored: int64, hits: int64, acc: double>
          child 0, n_scored: int64
          child 1, hits: int64
          child 2, acc: double
      child 3, qwen3:0.6b: struct<n_scored: int64, hits: int64, acc: double>
          child 0, n_scored: int64
          child 1, h
...
, acc: double>
          child 0, n_scored: int64
          child 1, hits: int64
          child 2, acc: double
      child 1, gspc-qwen3-1.7b-16k:latest: struct<n_scored: int64, hits: int64, acc: double>
          child 0, n_scored: int64
          child 1, hits: int64
          child 2, acc: double
      child 2, qwen3:1.7b: struct<n_scored: int64, hits: int64, acc: double>
          child 0, n_scored: int64
          child 1, hits: int64
          child 2, acc: double
      child 3, qwen3:0.6b: struct<n_scored: int64, hits: int64, acc: double>
          child 0, n_scored: int64
          child 1, hits: int64
          child 2, acc: double
      child 4, deepseek-r1:1.5b: struct<n_scored: int64, hits: int64, acc: double>
          child 0, n_scored: int64
          child 1, hits: int64
          child 2, acc: double
      child 5, qwen2.5-coder:1.5b: struct<n_scored: int64, hits: int64, acc: double>
          child 0, n_scored: int64
          child 1, hits: int64
          child 2, acc: double
sweep: string
honesty: string
frozen_at: timestamp[s]
models: list<item: string>
  child 0, item: string
delta_sov_minus_qwen3_1p7b: struct<gspc-mcp: double, gspc-oss: double, gspc-prv: double, gspc-asi: double, gspc-det: double, gsp (... 15 chars omitted)
  child 0, gspc-mcp: double
  child 1, gspc-oss: double
  child 2, gspc-prv: double
  child 3, gspc-asi: double
  child 4, gspc-det: double
  child 5, gspc-art5: double
banks: list<item: string>
  child 0, item: string
kind: string
to
{'sweep': Value('string'), 'kind': Value('string'), 'frozen_at': Value('timestamp[s]'), 'models': List(Value('string')), 'banks': List(Value('string')), 'summary': {'gspc-mcp': {'meok-gspc-qwen3-1.7b:latest': {'n_scored': Value('int64'), 'hits': Value('int64'), 'acc': Value('float64')}, 'gspc-qwen3-1.7b-16k:latest': {'n_scored': Value('int64'), 'hits': Value('int64'), 'acc': Value('float64')}, 'qwen3:1.7b': {'n_scored': Value('int64'), 'hits': Value('int64'), 'acc': Value('float64')}, 'qwen3:0.6b': {'n_scored': Value('int64'), 'hits': Value('int64'), 'acc': Value('float64')}, 'deepseek-r1:1.5b': {'n_scored': Value('int64'), 'hits': Value('int64'), 'acc': Value('float64')}, 'qwen2.5-coder:1.5b': {'n_scored': Value('int64'), 'hits': Value('int64'), 'acc': Value('float64')}}, 'gspc-oss': {'meok-gspc-qwen3-1.7b:latest': {'n_scored': Value('int64'), 'hits': Value('int64'), 'acc': Value('float64')}, 'gspc-qwen3-1.7b-16k:latest': {'n_scored': Value('int64'), 'hits': Value('int64'), 'acc': Value('float64')}, 'qwen3:1.7b': {'n_scored': Value('int64'), 'hits': Value('int64'), 'acc': Value('float64')}, 'qwen3:0.6b': {'n_scored': Value('int64'), 'hits': Value('int64'), 'acc': Value('float64')}, 'deepseek-r1:1.5b': {'n_scored': Value('int64'), 'hits': Value('int64'), 'acc': Value('float64')}, 'qwen2.5-coder:1.5b': {'n_scored': Value('int64'), 'hits': Value('int64'), 'acc': Value('float64')}}, 'gspc-prv': {'meok-gspc-qwen3-1.7b:latest': {'n_scored': Value('int64'), 'hits': Value('int64'), 
...
Value('float64')}}, 'gspc-det': {'meok-gspc-qwen3-1.7b:latest': {'n_scored': Value('int64'), 'hits': Value('int64'), 'acc': Value('float64')}, 'gspc-qwen3-1.7b-16k:latest': {'n_scored': Value('int64'), 'hits': Value('int64'), 'acc': Value('float64')}, 'qwen3:1.7b': {'n_scored': Value('int64'), 'hits': Value('int64'), 'acc': Value('float64')}, 'qwen3:0.6b': {'n_scored': Value('int64'), 'hits': Value('int64'), 'acc': Value('float64')}, 'deepseek-r1:1.5b': {'n_scored': Value('int64'), 'hits': Value('int64'), 'acc': Value('float64')}, 'qwen2.5-coder:1.5b': {'n_scored': Value('int64'), 'hits': Value('int64'), 'acc': Value('float64')}}, 'gspc-art5': {'meok-gspc-qwen3-1.7b:latest': {'n_scored': Value('int64'), 'hits': Value('int64'), 'acc': Value('float64')}, 'gspc-qwen3-1.7b-16k:latest': {'n_scored': Value('int64'), 'hits': Value('int64'), 'acc': Value('float64')}, 'qwen3:1.7b': {'n_scored': Value('int64'), 'hits': Value('int64'), 'acc': Value('float64')}, 'qwen3:0.6b': {'n_scored': Value('int64'), 'hits': Value('int64'), 'acc': Value('float64')}, 'deepseek-r1:1.5b': {'n_scored': Value('int64'), 'hits': Value('int64'), 'acc': Value('float64')}, 'qwen2.5-coder:1.5b': {'n_scored': Value('int64'), 'hits': Value('int64'), 'acc': Value('float64')}}}, 'delta_sov_minus_qwen3_1p7b': {'gspc-mcp': Value('float64'), 'gspc-oss': Value('float64'), 'gspc-prv': Value('float64'), 'gspc-asi': Value('float64'), 'gspc-det': Value('float64'), 'gspc-art5': Value('float64')}, 'honesty': 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
              rows: list<item: struct<bank: string, model: string, ok: bool, hit: bool, expected: string, answer: string (... 53 chars omitted)
                child 0, item: struct<bank: string, model: string, ok: bool, hit: bool, expected: string, answer: string, latency:  (... 41 chars omitted)
                    child 0, bank: string
                    child 1, model: string
                    child 2, ok: bool
                    child 3, hit: bool
                    child 4, expected: string
                    child 5, answer: string
                    child 6, latency: double
                    child 7, row_idx: int64
                    child 8, ts: timestamp[s]
              summary: struct<gspc-mcp: struct<meok-gspc-qwen3-1.7b:latest: struct<n_scored: int64, hits: int64, acc: doubl (... 2565 chars omitted)
                child 0, gspc-mcp: struct<meok-gspc-qwen3-1.7b:latest: struct<n_scored: int64, hits: int64, acc: double>, gspc-qwen3-1. (... 331 chars omitted)
                    child 0, meok-gspc-qwen3-1.7b:latest: struct<n_scored: int64, hits: int64, acc: double>
                        child 0, n_scored: int64
                        child 1, hits: int64
                        child 2, acc: double
                    child 1, gspc-qwen3-1.7b-16k:latest: struct<n_scored: int64, hits: int64, acc: double>
                        child 0, n_scored: int64
                        child 1, hits: int64
                        child 2, acc: double
                    child 2, qwen3:1.7b: struct<n_scored: int64, hits: int64, acc: double>
                        child 0, n_scored: int64
                        child 1, hits: int64
                        child 2, acc: double
                    child 3, qwen3:0.6b: struct<n_scored: int64, hits: int64, acc: double>
                        child 0, n_scored: int64
                        child 1, h
              ...
              , acc: double>
                        child 0, n_scored: int64
                        child 1, hits: int64
                        child 2, acc: double
                    child 1, gspc-qwen3-1.7b-16k:latest: struct<n_scored: int64, hits: int64, acc: double>
                        child 0, n_scored: int64
                        child 1, hits: int64
                        child 2, acc: double
                    child 2, qwen3:1.7b: struct<n_scored: int64, hits: int64, acc: double>
                        child 0, n_scored: int64
                        child 1, hits: int64
                        child 2, acc: double
                    child 3, qwen3:0.6b: struct<n_scored: int64, hits: int64, acc: double>
                        child 0, n_scored: int64
                        child 1, hits: int64
                        child 2, acc: double
                    child 4, deepseek-r1:1.5b: struct<n_scored: int64, hits: int64, acc: double>
                        child 0, n_scored: int64
                        child 1, hits: int64
                        child 2, acc: double
                    child 5, qwen2.5-coder:1.5b: struct<n_scored: int64, hits: int64, acc: double>
                        child 0, n_scored: int64
                        child 1, hits: int64
                        child 2, acc: double
              sweep: string
              honesty: string
              frozen_at: timestamp[s]
              models: list<item: string>
                child 0, item: string
              delta_sov_minus_qwen3_1p7b: struct<gspc-mcp: double, gspc-oss: double, gspc-prv: double, gspc-asi: double, gspc-det: double, gsp (... 15 chars omitted)
                child 0, gspc-mcp: double
                child 1, gspc-oss: double
                child 2, gspc-prv: double
                child 3, gspc-asi: double
                child 4, gspc-det: double
                child 5, gspc-art5: double
              banks: list<item: string>
                child 0, item: string
              kind: string
              to
              {'sweep': Value('string'), 'kind': Value('string'), 'frozen_at': Value('timestamp[s]'), 'models': List(Value('string')), 'banks': List(Value('string')), 'summary': {'gspc-mcp': {'meok-gspc-qwen3-1.7b:latest': {'n_scored': Value('int64'), 'hits': Value('int64'), 'acc': Value('float64')}, 'gspc-qwen3-1.7b-16k:latest': {'n_scored': Value('int64'), 'hits': Value('int64'), 'acc': Value('float64')}, 'qwen3:1.7b': {'n_scored': Value('int64'), 'hits': Value('int64'), 'acc': Value('float64')}, 'qwen3:0.6b': {'n_scored': Value('int64'), 'hits': Value('int64'), 'acc': Value('float64')}, 'deepseek-r1:1.5b': {'n_scored': Value('int64'), 'hits': Value('int64'), 'acc': Value('float64')}, 'qwen2.5-coder:1.5b': {'n_scored': Value('int64'), 'hits': Value('int64'), 'acc': Value('float64')}}, 'gspc-oss': {'meok-gspc-qwen3-1.7b:latest': {'n_scored': Value('int64'), 'hits': Value('int64'), 'acc': Value('float64')}, 'gspc-qwen3-1.7b-16k:latest': {'n_scored': Value('int64'), 'hits': Value('int64'), 'acc': Value('float64')}, 'qwen3:1.7b': {'n_scored': Value('int64'), 'hits': Value('int64'), 'acc': Value('float64')}, 'qwen3:0.6b': {'n_scored': Value('int64'), 'hits': Value('int64'), 'acc': Value('float64')}, 'deepseek-r1:1.5b': {'n_scored': Value('int64'), 'hits': Value('int64'), 'acc': Value('float64')}, 'qwen2.5-coder:1.5b': {'n_scored': Value('int64'), 'hits': Value('int64'), 'acc': Value('float64')}}, 'gspc-prv': {'meok-gspc-qwen3-1.7b:latest': {'n_scored': Value('int64'), 'hits': Value('int64'), 
              ...
              Value('float64')}}, 'gspc-det': {'meok-gspc-qwen3-1.7b:latest': {'n_scored': Value('int64'), 'hits': Value('int64'), 'acc': Value('float64')}, 'gspc-qwen3-1.7b-16k:latest': {'n_scored': Value('int64'), 'hits': Value('int64'), 'acc': Value('float64')}, 'qwen3:1.7b': {'n_scored': Value('int64'), 'hits': Value('int64'), 'acc': Value('float64')}, 'qwen3:0.6b': {'n_scored': Value('int64'), 'hits': Value('int64'), 'acc': Value('float64')}, 'deepseek-r1:1.5b': {'n_scored': Value('int64'), 'hits': Value('int64'), 'acc': Value('float64')}, 'qwen2.5-coder:1.5b': {'n_scored': Value('int64'), 'hits': Value('int64'), 'acc': Value('float64')}}, 'gspc-art5': {'meok-gspc-qwen3-1.7b:latest': {'n_scored': Value('int64'), 'hits': Value('int64'), 'acc': Value('float64')}, 'gspc-qwen3-1.7b-16k:latest': {'n_scored': Value('int64'), 'hits': Value('int64'), 'acc': Value('float64')}, 'qwen3:1.7b': {'n_scored': Value('int64'), 'hits': Value('int64'), 'acc': Value('float64')}, 'qwen3:0.6b': {'n_scored': Value('int64'), 'hits': Value('int64'), 'acc': Value('float64')}, 'deepseek-r1:1.5b': {'n_scored': Value('int64'), 'hits': Value('int64'), 'acc': Value('float64')}, 'qwen2.5-coder:1.5b': {'n_scored': Value('int64'), 'hits': Value('int64'), 'acc': Value('float64')}}}, 'delta_sov_minus_qwen3_1p7b': {'gspc-mcp': Value('float64'), 'gspc-oss': Value('float64'), 'gspc-prv': Value('float64'), 'gspc-asi': Value('float64'), 'gspc-det': Value('float64'), 'gspc-art5': Value('float64')}, 'honesty': 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.

Fleet sweep v0.2 — the local quorum, measured

Six models from the M2 Ollama mesh × six GSPC banks, zero-shot label-match grading, temperature 0, frozen 2026-11-02. Runs nightly at 03:23 UTC (com.csoai.gspc-nightly-sweep) — this is the board-unfreeze fabric on local hardware.

Models include the sovereign fine-tune meok-gspc-qwen3-1.7b (whose v0.1 vs-base null is sovereign-sweep-v0.1), its 16k-context sibling, base qwen3 0.6b/1.7b, deepseek-r1:1.5b and qwen2.5-coder:1.5b.

Results

Bank	Model	Acc	n
`gspc-art5`	deepseek-r1:1.5b	0.0556	36
`gspc-art5`	gspc-qwen3-1.7b-16k:latest	0.75	36
`gspc-art5`	meok-gspc-qwen3-1.7b:latest	0.75	36
`gspc-art5`	qwen2.5-coder:1.5b	0.4722	36
`gspc-art5`	qwen3:0.6b	0.5833	36
`gspc-art5`	qwen3:1.7b	0.75	36
`gspc-asi`	deepseek-r1:1.5b	0.3939	33
`gspc-asi`	gspc-qwen3-1.7b-16k:latest	0.303	33
`gspc-asi`	meok-gspc-qwen3-1.7b:latest	0.303	33
`gspc-asi`	qwen2.5-coder:1.5b	0.3333	33
`gspc-asi`	qwen3:0.6b	0.303	33
`gspc-asi`	qwen3:1.7b	0.303	33
`gspc-det`	deepseek-r1:1.5b	0.697	33
`gspc-det`	gspc-qwen3-1.7b-16k:latest	0.7879	33
`gspc-det`	meok-gspc-qwen3-1.7b:latest	0.7879	33
`gspc-det`	qwen2.5-coder:1.5b	0.7879	33
`gspc-det`	qwen3:0.6b	0.7879	33
`gspc-det`	qwen3:1.7b	0.7879	33
`gspc-mcp`	deepseek-r1:1.5b	0.2286	35
`gspc-mcp`	gspc-qwen3-1.7b-16k:latest	0.6286	35
`gspc-mcp`	meok-gspc-qwen3-1.7b:latest	0.6286	35
`gspc-mcp`	qwen2.5-coder:1.5b	0.6	35
`gspc-mcp`	qwen3:0.6b	0.5143	35
`gspc-mcp`	qwen3:1.7b	0.6286	35
`gspc-oss`	deepseek-r1:1.5b	0.25	32
`gspc-oss`	gspc-qwen3-1.7b-16k:latest	0.6875	32
`gspc-oss`	meok-gspc-qwen3-1.7b:latest	0.6875	32
`gspc-oss`	qwen2.5-coder:1.5b	0.5	32
`gspc-oss`	qwen3:0.6b	0.5312	32
`gspc-oss`	qwen3:1.7b	0.6875	32
`gspc-prv`	deepseek-r1:1.5b	0.2812	32
`gspc-prv`	gspc-qwen3-1.7b-16k:latest	0.625	32
`gspc-prv`	meok-gspc-qwen3-1.7b:latest	0.625	32
`gspc-prv`	qwen2.5-coder:1.5b	0.4688	32
`gspc-prv`	qwen3:0.6b	0.5938	32
`gspc-prv`	qwen3:1.7b	0.625	32

Full machine-readable: SUMMARY.json (per bank × model) · sweep_rows.json (every item graded).

What this is NOT

Lane run — zero-shot label-match grading, not the canonical board_v2 grader; not board-comparable; not signed yet (owner stamp PENDING). Measurement, not certification.

Verify

Anything signed: councilof.ai/gspc-verify · MCP verify_card.

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Total file size:

298 kB