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
id: string
bucket: string
L: int64
format: string
r5sva_120b_rdx7_u00: struct<cell: string, shard: string, flags: string, n_problems: int64, source_unit: string>
child 0, cell: string
child 1, shard: string
child 2, flags: string
child 3, n_problems: int64
child 4, source_unit: string
r5sva_120b_bru7_u01: struct<cell: string, shard: string, flags: string, n_problems: int64, source_unit: string>
child 0, cell: string
child 1, shard: string
child 2, flags: string
child 3, n_problems: int64
child 4, source_unit: string
r5sva_120b_pv7_u01: struct<cell: string, shard: string, flags: string, n_problems: int64, source_unit: string>
child 0, cell: string
child 1, shard: string
child 2, flags: string
child 3, n_problems: int64
child 4, source_unit: string
r5sva_120b_bru7_u00: struct<cell: string, shard: string, flags: string, n_problems: int64, source_unit: string>
child 0, cell: string
child 1, shard: string
child 2, flags: string
child 3, n_problems: int64
child 4, source_unit: string
r5sva_120b_rdx7_u01: struct<cell: string, shard: string, flags: string, n_problems: int64, source_unit: string>
child 0, cell: string
child 1, shard: string
child 2, flags: string
child 3, n_problems: int64
child 4, source_unit: string
r5sva_120b_tr7_u01: struct<cell: string, shard: string, flags: string, n_problems: int64, source_unit: string>
child 0, cell: string
child 1, shard: string
child 2, flags: string
child 3, n_problems: int64
child 4, source_unit: string
r5sva_120b_tr7_u00: struct<cell: string, shard: string, flags: string, n_problems: int64, source_unit: string>
child 0, cell: string
child 1, shard: string
child 2, flags: string
child 3, n_problems: int64
child 4, source_unit: string
r5sva_120b_pv7_u00: struct<cell: string, shard: string, flags: string, n_problems: int64, source_unit: string>
child 0, cell: string
child 1, shard: string
child 2, flags: string
child 3, n_problems: int64
child 4, source_unit: string
to
{'r5sva_120b_bru7_u00': {'cell': Value('string'), 'shard': Value('string'), 'flags': Value('string'), 'n_problems': Value('int64'), 'source_unit': Value('string')}, 'r5sva_120b_bru7_u01': {'cell': Value('string'), 'shard': Value('string'), 'flags': Value('string'), 'n_problems': Value('int64'), 'source_unit': Value('string')}, 'r5sva_120b_rdx7_u00': {'cell': Value('string'), 'shard': Value('string'), 'flags': Value('string'), 'n_problems': Value('int64'), 'source_unit': Value('string')}, 'r5sva_120b_rdx7_u01': {'cell': Value('string'), 'shard': Value('string'), 'flags': Value('string'), 'n_problems': Value('int64'), 'source_unit': Value('string')}, 'r5sva_120b_pv7_u00': {'cell': Value('string'), 'shard': Value('string'), 'flags': Value('string'), 'n_problems': Value('int64'), 'source_unit': Value('string')}, 'r5sva_120b_pv7_u01': {'cell': Value('string'), 'shard': Value('string'), 'flags': Value('string'), 'n_problems': Value('int64'), 'source_unit': Value('string')}, 'r5sva_120b_tr7_u00': {'cell': Value('string'), 'shard': Value('string'), 'flags': Value('string'), 'n_problems': Value('int64'), 'source_unit': Value('string')}, 'r5sva_120b_tr7_u01': {'cell': Value('string'), 'shard': Value('string'), 'flags': Value('string'), 'n_problems': Value('int64'), 'source_unit': Value('string')}}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, 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 127, 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 483, 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 2840, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, 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 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
id: string
bucket: string
L: int64
format: string
r5sva_120b_rdx7_u00: struct<cell: string, shard: string, flags: string, n_problems: int64, source_unit: string>
child 0, cell: string
child 1, shard: string
child 2, flags: string
child 3, n_problems: int64
child 4, source_unit: string
r5sva_120b_bru7_u01: struct<cell: string, shard: string, flags: string, n_problems: int64, source_unit: string>
child 0, cell: string
child 1, shard: string
child 2, flags: string
child 3, n_problems: int64
child 4, source_unit: string
r5sva_120b_pv7_u01: struct<cell: string, shard: string, flags: string, n_problems: int64, source_unit: string>
child 0, cell: string
child 1, shard: string
child 2, flags: string
child 3, n_problems: int64
child 4, source_unit: string
r5sva_120b_bru7_u00: struct<cell: string, shard: string, flags: string, n_problems: int64, source_unit: string>
child 0, cell: string
child 1, shard: string
child 2, flags: string
child 3, n_problems: int64
child 4, source_unit: string
r5sva_120b_rdx7_u01: struct<cell: string, shard: string, flags: string, n_problems: int64, source_unit: string>
child 0, cell: string
child 1, shard: string
child 2, flags: string
child 3, n_problems: int64
child 4, source_unit: string
r5sva_120b_tr7_u01: struct<cell: string, shard: string, flags: string, n_problems: int64, source_unit: string>
child 0, cell: string
child 1, shard: string
child 2, flags: string
child 3, n_problems: int64
child 4, source_unit: string
r5sva_120b_tr7_u00: struct<cell: string, shard: string, flags: string, n_problems: int64, source_unit: string>
child 0, cell: string
child 1, shard: string
child 2, flags: string
child 3, n_problems: int64
child 4, source_unit: string
r5sva_120b_pv7_u00: struct<cell: string, shard: string, flags: string, n_problems: int64, source_unit: string>
child 0, cell: string
child 1, shard: string
child 2, flags: string
child 3, n_problems: int64
child 4, source_unit: string
to
{'r5sva_120b_bru7_u00': {'cell': Value('string'), 'shard': Value('string'), 'flags': Value('string'), 'n_problems': Value('int64'), 'source_unit': Value('string')}, 'r5sva_120b_bru7_u01': {'cell': Value('string'), 'shard': Value('string'), 'flags': Value('string'), 'n_problems': Value('int64'), 'source_unit': Value('string')}, 'r5sva_120b_rdx7_u00': {'cell': Value('string'), 'shard': Value('string'), 'flags': Value('string'), 'n_problems': Value('int64'), 'source_unit': Value('string')}, 'r5sva_120b_rdx7_u01': {'cell': Value('string'), 'shard': Value('string'), 'flags': Value('string'), 'n_problems': Value('int64'), 'source_unit': Value('string')}, 'r5sva_120b_pv7_u00': {'cell': Value('string'), 'shard': Value('string'), 'flags': Value('string'), 'n_problems': Value('int64'), 'source_unit': Value('string')}, 'r5sva_120b_pv7_u01': {'cell': Value('string'), 'shard': Value('string'), 'flags': Value('string'), 'n_problems': Value('int64'), 'source_unit': Value('string')}, 'r5sva_120b_tr7_u00': {'cell': Value('string'), 'shard': Value('string'), 'flags': Value('string'), 'n_problems': Value('int64'), 'source_unit': Value('string')}, 'r5sva_120b_tr7_u01': {'cell': Value('string'), 'shard': Value('string'), 'flags': Value('string'), 'n_problems': Value('int64'), 'source_unit': Value('string')}}
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.
Round-5 self-verifier D-cut — four new-verifier mechanisms (2026-08-18)
Four opt-in verifier mechanisms on top of the v7 stack (official-sample anchoring + validity probes + wb-cands 8 + wb-certify), one arm each, on the 295-problem mechanism-screening slice (u00+u01 of the 589 pool; same problems, budgets, loop-0 population and GENSEED as the observed sv cells — rows are directly comparable to the sv7/sv7d/pw7/sel7/sum7 screen table).
| arm | flag | mechanism |
|---|---|---|
bru7 |
--brute-ref |
A: sample-gated BRUTE-FORCE reference joins wb certification on small inputs (brute + 1 efficient ref = certified; the classic stress-test triangle's missing leg) |
rdx7 |
--ref-diverse 3 |
B: three sample-gated re-reading references; where sample-consistent re-reads disagree with held labels, the DISPUTE (not a manufactured label) is surfaced via the summary channel (loops 1-4) |
pv7 |
--out-validators |
C: any-valid-answer problems get a certified OUTPUT-PROPERTY validator (gate: accepts official sample outputs, rejects corrupted ones); labels stripped, tests become property-checked instead of skipped |
tr7 |
--trace-repair |
D: problems with >=50% of the population blocked for >=2 straight loops switch the next repair round to hand-trace mode via the summary channel |
Contents: units_cells/ (8 units + manifest) · run_shard_r5_sva.sh (same
contract as run_shard_r5_sv.sh: env UNIT + RUN_DIR) · minipatch/
(sv minipatch + the D-cut patches to selffb/selffb_v2_prepare.py and
scripts/lcb_public_probe_harness_spj.py; all mechanisms are opt-in flags —
behavior without the flags is bit-identical, verified) · validate_abcd.py
(17 CPU tests, stubbed-LLM integration through the real pipeline; run
TMPDIR=/var/tmp python3 validate_abcd.py after cloning, needs no GPU).
Return the whole RUN_DIR per unit (especially selffb/, ck_nonsat/,
fb_audit.jsonl, metrics_loops.json, *.summary.jsonl); grading happens on
our side. New funnel fields to expect in the prepare audits: n_brute_valid,
n_wb_cert_brute, n_diverse_valid, n_disputes, oval_certified,
trace_blocked_frac, trace_streak.
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