Datasets:
Dataset Viewer
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
instruction: string
input: string
output: string
metadata: struct<topic: string, aligned_source: string, aligned_id: string, aligned_score: double, supporting_ (... 23 chars omitted)
child 0, topic: string
child 1, aligned_source: string
child 2, aligned_id: string
child 3, aligned_score: double
child 4, supporting_count: int64
child 5, v3: bool
attestation: struct<alg: string, pub: string, sig: string, digest: string, ts: timestamp[s]>
child 0, alg: string
child 1, pub: string
child 2, sig: string
child 3, digest: string
child 4, ts: timestamp[s]
to
{'instruction': Value('string'), 'input': Value('string'), 'output': Value('string'), 'metadata': {'topic': Value('string'), 'aligned_source': Value('string'), 'aligned_id': Value('string'), 'aligned_score': Value('float64'), 'supporting_count': Value('int64'), 'v3': Value('bool')}}
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
instruction: string
input: string
output: string
metadata: struct<topic: string, aligned_source: string, aligned_id: string, aligned_score: double, supporting_ (... 23 chars omitted)
child 0, topic: string
child 1, aligned_source: string
child 2, aligned_id: string
child 3, aligned_score: double
child 4, supporting_count: int64
child 5, v3: bool
attestation: struct<alg: string, pub: string, sig: string, digest: string, ts: timestamp[s]>
child 0, alg: string
child 1, pub: string
child 2, sig: string
child 3, digest: string
child 4, ts: timestamp[s]
to
{'instruction': Value('string'), 'input': Value('string'), 'output': Value('string'), 'metadata': {'topic': Value('string'), 'aligned_source': Value('string'), 'aligned_id': Value('string'), 'aligned_score': Value('float64'), 'supporting_count': Value('int64'), 'v3': Value('bool')}}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
OOWM Ground Truth v3 — Mined + Aligned
This is the v3 of the OOWM ground-truth dataset, built per the user's directive:
"mine all we have testing and improving existing"
What changed from v2
- v2: 58 docs from 4 sources (Claude API + arXiv + Kimi + GitHub), 16 topics
- v3: 1,147 docs from 5 sources (v2 + mined existing SFT/eval/refusal data), 32 topics
- Mined: 1,089 docs from
/root/care_sft_*.jsonl,/root/gov_sft_*.jsonl,/workspace/refusal_*.jsonl,/root/clawd/_alignment/SOV_SIGNAL/*.jsonl - Topics expanded from 16 to 32 — added risk-specific: refusal policy, care ethics, EU AI Act risk tier, PII handling, etc.
- Zero weak topics (all 32 topics have ≥ 5 supporting cross-source docs)
Sources
{
"existing_mine": 1089,
"claude": 21,
"kimi": 20,
"science": 12,
"github": 5
}
Pipeline
mine_oowm.py— extracted 1,089 docs from existing RunPod SFT/eval/refusal assetsalign_v3.py— cross-source TF-IDF + BFT consensus on 32 topicstrain_v3.py(this script) — builds instruction-tuning corpus + Ed25519 signs + uploads
Stats
- 32 instruction-tuning rows
- 32 topics aligned across 5 sources
- All rows Ed25519-signed
- Honest: 1 receipt, 2 surface sprays (HF + Kaggle) per
spray_v3flow
Provenance
- Generated on RunPod pod
sov-brain-2(RTX 3090, 24GB) - Pod id:
dxjgtj2jyvljxo - Built: 2026-08-08T10:19:23Z
- 4-source ingest: Claude, science (arXiv), Kimi (Moonshot API), GitHub
- 5th source: existing sovereign SFT/eval/refusal data on RunPod
License
Apache-2.0.
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