Hugging Face's logo

Datasets:
csoai
/
oowm-substrate-v4

Size:
10K<n<100K
Tags:
oowm
organic-open-world-model
sovereign-router
substrate-seed
csoai
License:
Dataset card Files
xet
 Community
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
id: string
source: string
score: double
domain: string
topics: list<item: string>
  child 0, item: string
text: string
version: string
build_time: timestamp[s]
domain_distribution: struct<queen: int64, king: int64, quant: int64, man: int64, oowm: int64, mom: int64, small-moe: int6 (... 80 chars omitted)
  child 0, queen: int64
  child 1, king: int64
  child 2, quant: int64
  child 3, man: int64
  child 4, oowm: int64
  child 5, mom: int64
  child 6, small-moe: int64
  child 7, big-moe: int64
  child 8, bridge: int64
  child 9, council: int64
  child 10, sovereign: int64
  child 11, free: int64
doc_count: int64
to
{'version': Value('string'), 'build_time': Value('timestamp[s]'), 'doc_count': Value('int64'), 'topics': {'OOWM substrate': {'per_source_max': {'claude': Value('float64'), 'existing_mine': Value('float64'), 'github': Value('float64'), 'kimi': Value('float64'), 'science': Value('float64')}, 'per_source_count': {'claude': Value('int64'), 'existing_mine': Value('int64'), 'github': Value('int64'), 'kimi': Value('int64'), 'science': Value('int64')}, 'best_source': Value('string'), 'best_score': Value('float64')}, 'Maternal Covenant': {'per_source_max': {'claude': Value('float64'), 'existing_mine': Value('float64'), 'github': Value('float64'), 'kimi': Value('float64'), 'science': Value('float64')}, 'per_source_count': {'claude': Value('int64'), 'existing_mine': Value('int64'), 'github': Value('int64'), 'kimi': Value('int64'), 'science': Value('int64')}, 'best_source': Value('string'), 'best_score': Value('float64')}, 'HARNESS model': {'per_source_max': {'claude': Value('float64'), 'existing_mine': Value('float64'), 'github': Value('float64'), 'kimi': Value('float64'), 'science': Value('float64')}, 'per_source_count': {'claude': Value('int64'), 'existing_mine': Value('int64'), 'github': Value('int64'), 'kimi': Value('int64'), 'science': Value('int64')}, 'best_source': Value('string'), 'best_score': Value('float64')}, 'EDGE sovereign': {'per_source_max': {'claude': Value('float64'), 'existing_mine': Value('float64'), 'github': Value('float64'), 'kimi': Value('float64'), 'science': Va
...
, 'existing_mine': Value('float64'), 'github': Value('float64'), 'kimi': Value('float64'), 'science': Value('float64')}, 'per_source_count': {'claude': Value('int64'), 'existing_mine': Value('int64'), 'github': Value('int64'), 'kimi': Value('int64'), 'science': Value('int64')}, 'best_source': Value('string'), 'best_score': Value('float64')}, 'audit trail': {'per_source_max': {'claude': Value('float64'), 'existing_mine': Value('float64'), 'github': Value('float64'), 'kimi': Value('float64'), 'science': Value('float64')}, 'per_source_count': {'claude': Value('int64'), 'existing_mine': Value('int64'), 'github': Value('int64'), 'kimi': Value('int64'), 'science': Value('int64')}, 'best_source': Value('string'), 'best_score': Value('float64')}, 'trust + safety attestation': {'per_source_max': {'claude': Value('float64'), 'existing_mine': Value('float64'), 'github': Value('float64'), 'kimi': Value('float64'), 'science': Value('float64')}, 'per_source_count': {'claude': Value('int64'), 'existing_mine': Value('int64'), 'github': Value('int64'), 'kimi': Value('int64'), 'science': Value('int64')}, 'best_source': Value('string'), 'best_score': Value('float64')}}, 'domain_distribution': {'queen': Value('int64'), 'king': Value('int64'), 'quant': Value('int64'), 'man': Value('int64'), 'oowm': Value('int64'), 'mom': Value('int64'), 'small-moe': Value('int64'), 'big-moe': Value('int64'), 'bridge': Value('int64'), 'council': Value('int64'), 'sovereign': Value('int64'), 'free': Value('int64')}}
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
              id: string
              source: string
              score: double
              domain: string
              topics: list<item: string>
                child 0, item: string
              text: string
              version: string
              build_time: timestamp[s]
              domain_distribution: struct<queen: int64, king: int64, quant: int64, man: int64, oowm: int64, mom: int64, small-moe: int6 (... 80 chars omitted)
                child 0, queen: int64
                child 1, king: int64
                child 2, quant: int64
                child 3, man: int64
                child 4, oowm: int64
                child 5, mom: int64
                child 6, small-moe: int64
                child 7, big-moe: int64
                child 8, bridge: int64
                child 9, council: int64
                child 10, sovereign: int64
                child 11, free: int64
              doc_count: int64
              to
              {'version': Value('string'), 'build_time': Value('timestamp[s]'), 'doc_count': Value('int64'), 'topics': {'OOWM substrate': {'per_source_max': {'claude': Value('float64'), 'existing_mine': Value('float64'), 'github': Value('float64'), 'kimi': Value('float64'), 'science': Value('float64')}, 'per_source_count': {'claude': Value('int64'), 'existing_mine': Value('int64'), 'github': Value('int64'), 'kimi': Value('int64'), 'science': Value('int64')}, 'best_source': Value('string'), 'best_score': Value('float64')}, 'Maternal Covenant': {'per_source_max': {'claude': Value('float64'), 'existing_mine': Value('float64'), 'github': Value('float64'), 'kimi': Value('float64'), 'science': Value('float64')}, 'per_source_count': {'claude': Value('int64'), 'existing_mine': Value('int64'), 'github': Value('int64'), 'kimi': Value('int64'), 'science': Value('int64')}, 'best_source': Value('string'), 'best_score': Value('float64')}, 'HARNESS model': {'per_source_max': {'claude': Value('float64'), 'existing_mine': Value('float64'), 'github': Value('float64'), 'kimi': Value('float64'), 'science': Value('float64')}, 'per_source_count': {'claude': Value('int64'), 'existing_mine': Value('int64'), 'github': Value('int64'), 'kimi': Value('int64'), 'science': Value('int64')}, 'best_source': Value('string'), 'best_score': Value('float64')}, 'EDGE sovereign': {'per_source_max': {'claude': Value('float64'), 'existing_mine': Value('float64'), 'github': Value('float64'), 'kimi': Value('float64'), 'science': Va
              ...
              , 'existing_mine': Value('float64'), 'github': Value('float64'), 'kimi': Value('float64'), 'science': Value('float64')}, 'per_source_count': {'claude': Value('int64'), 'existing_mine': Value('int64'), 'github': Value('int64'), 'kimi': Value('int64'), 'science': Value('int64')}, 'best_source': Value('string'), 'best_score': Value('float64')}, 'audit trail': {'per_source_max': {'claude': Value('float64'), 'existing_mine': Value('float64'), 'github': Value('float64'), 'kimi': Value('float64'), 'science': Value('float64')}, 'per_source_count': {'claude': Value('int64'), 'existing_mine': Value('int64'), 'github': Value('int64'), 'kimi': Value('int64'), 'science': Value('int64')}, 'best_source': Value('string'), 'best_score': Value('float64')}, 'trust + safety attestation': {'per_source_max': {'claude': Value('float64'), 'existing_mine': Value('float64'), 'github': Value('float64'), 'kimi': Value('float64'), 'science': Value('float64')}, 'per_source_count': {'claude': Value('int64'), 'existing_mine': Value('int64'), 'github': Value('int64'), 'kimi': Value('int64'), 'science': Value('int64')}, 'best_source': Value('string'), 'best_score': Value('float64')}}, 'domain_distribution': {'queen': Value('int64'), 'king': Value('int64'), 'quant': Value('int64'), 'man': Value('int64'), 'oowm': Value('int64'), 'mom': Value('int64'), 'small-moe': Value('int64'), 'big-moe': Value('int64'), 'bridge': Value('int64'), 'council': Value('int64'), 'sovereign': Value('int64'), 'free': Value('int64')}}
              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.

csoai/oowm-substrate-v4

The v4 OOWM substrate seed (33 docs, re-indexed from the v3 corpus).

Contents

  • improved_seed.json — the 33-doc seed used by oowm/knowledge.py
  • alignment_quality_v3.json — alignment-quality matrix (verified alignment between SEED entries and the v3 corpus)
  • oowm_receipt_v4.json — receipt of the v4 build (build_id, build_ts, doc_count, corpus_anchor)
  • README.md — this file

Why v4

v3 was a training-data artifact. v4 is the substrate itself — the index that the OOWM server queries when asked about any of the 12 governance domains.

12-domain re-indexing selects top docs per domain:

Domain Docs selected
queen (Maternal Covenant) 8
care 3
governance 3
agi 3
asi 3
mach 3
xr 3
art5 3
mcp 2
oss 2
prv 2
det 1

Sigil

Built on RunPod sov-brain-2 (RTX 3090). Date: 2026-08-08. See companion artifacts at:

Living-training-attestation, not a certification. CSOAI Ltd · UK 16939677 · MIT.
Downloads last month
9
Total file size:
29.5 kB

Space using csoai/oowm-substrate-v4 1