The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
id: string
bucket: string
L: int64
format: string
sel7_v2_flags: string
cells: struct<sv7: list<item: string>, sv7d: list<item: string>, sv8: list<item: string>, pw7: list<item: s (... 110 chars omitted)
child 0, sv7: list<item: string>
child 0, item: string
child 1, sv7d: list<item: string>
child 0, item: string
child 2, sv8: list<item: string>
child 0, item: string
child 3, pw7: list<item: string>
child 0, item: string
child 4, pop7: list<item: string>
child 0, item: string
child 5, sel7: list<item: string>
child 0, item: string
child 6, sum7: list<item: string>
child 0, item: string
child 7, hm7: list<item: string>
child 0, item: string
v2_flags: string
harman_cells_note: string
sv8_v2_flags: string
pop7_v2_flags: string
source: string
pw7_v2_flags: string
sum7_v2_flags: string
hm7_v2_flags: string
pw7_note: string
to
{'cells': {'sv7': List(Value('string')), 'sv7d': List(Value('string')), 'sv8': List(Value('string')), 'pw7': List(Value('string')), 'pop7': List(Value('string')), 'sel7': List(Value('string')), 'sum7': List(Value('string')), 'hm7': List(Value('string'))}, 'source': Value('string'), 'v2_flags': Value('string'), 'sv8_v2_flags': Value('string'), 'pw7_v2_flags': Value('string'), 'pw7_note': Value('string'), 'pop7_v2_flags': Value('string'), 'sel7_v2_flags': Value('string'), 'sum7_v2_flags': Value('string'), 'hm7_v2_flags': Value('string'), 'harman_cells_note': 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
sel7_v2_flags: string
cells: struct<sv7: list<item: string>, sv7d: list<item: string>, sv8: list<item: string>, pw7: list<item: s (... 110 chars omitted)
child 0, sv7: list<item: string>
child 0, item: string
child 1, sv7d: list<item: string>
child 0, item: string
child 2, sv8: list<item: string>
child 0, item: string
child 3, pw7: list<item: string>
child 0, item: string
child 4, pop7: list<item: string>
child 0, item: string
child 5, sel7: list<item: string>
child 0, item: string
child 6, sum7: list<item: string>
child 0, item: string
child 7, hm7: list<item: string>
child 0, item: string
v2_flags: string
harman_cells_note: string
sv8_v2_flags: string
pop7_v2_flags: string
source: string
pw7_v2_flags: string
sum7_v2_flags: string
hm7_v2_flags: string
pw7_note: string
to
{'cells': {'sv7': List(Value('string')), 'sv7d': List(Value('string')), 'sv8': List(Value('string')), 'pw7': List(Value('string')), 'pop7': List(Value('string')), 'sel7': List(Value('string')), 'sum7': List(Value('string')), 'hm7': List(Value('string'))}, 'source': Value('string'), 'v2_flags': Value('string'), 'sv8_v2_flags': Value('string'), 'pw7_v2_flags': Value('string'), 'pw7_note': Value('string'), 'pop7_v2_flags': Value('string'), 'sel7_v2_flags': Value('string'), 'sum7_v2_flags': Value('string'), 'hm7_v2_flags': Value('string'), 'harman_cells_note': 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.
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
round5-sv-cells — SELF-VERIFIER feedback cells (sv7 / sv7d)
2026-08-16. Companion to tts-sft/round5-fb-cells (ctl/vol/div): same 589
bucket-0 problems, same pinned round-4 loop-0 checkpoints, same unit split, same
SE config family — but the feedback tests are self-generated every loop by the
v7 self-verifier instead of the oracle suite. The oracle cells are the
controls; together they measure, at scale, how much of feedback-SE's bucket-0
reach and densification survives when the oracle is replaced by a verifier the
model builds for itself. Verifier evidence base:
TTS/SELFVERIFY_DIAGNOSTIC_2026-08-15.md (+ §8b/8c) and
TTS/V7_AB_RESULTS_2026-08-16.md.
| cell | feedback source | env delta | runner |
|---|---|---|---|
sv7 |
v7 self-verifier (per-loop) | round-4 contract (MAX_SHOWN=3) |
run_shard_r5_sv.sh |
sv7d |
v7 self-verifier (per-loop) | + LCB_FB_CASE_SELECT=shuffle (case diversity over the self bank) |
run_shard_r5_sv.sh |
sv8 |
v8 = v7 + loop policy | --probe-calls 2 --eff-cache + FREEZE_AFTER=2 (all-green freeze) |
run_shard_r5_sv8.sh |
pw7 |
v7 + PAIR-conditioned white-box (--wb-pair) |
each wb call sees a cyclic PAIR of dissimilar all-green candidates, asks for inputs where the two DISAGREE (+1 shared-misread breaker); call count = sv7 | run_shard_r5_sv.sh |
pop7 |
v7 + POPULATION-conditioned white-box (--wb-pop) |
2 wb calls, each sees ALL (≤8) picks: one hunts behavior DIVERGENCE among candidates, one hunts the SHARED bug/misread | run_shard_r5_sv.sh |
sel7 |
v7 + test SELECTION (--emit-order failcount) |
the emitted suite is ordered by how many current candidates each test fails (certified labels win ties), so the renderer's first-failures window shows the fail-many tests | run_shard_r5_sv.sh |
sum7 |
v7 + failure-mode SUMMARY (--fb-summary) |
one extra call summarizes the top fail-many tests' common failure modes; injected into next-loop feedback prompts via LCB_FB_SUMMARY (emission order unchanged) |
run_shard_r5_sv.sh |
hm7 |
Harman's full O(N) pipeline | --wb-pair --emit-order failcount --fb-summary composed |
run_shard_r5_sv.sh |
Harman mechanism cells (added 2026-08-16 late, after the meeting)
One cell per verifier-information mechanism from Harman's 2026-08-16 meeting
(pair-conditioning, population-conditioning, test selection, failure-mode
summarization) plus the full composed pipeline (hm7: 16 solutions → covering
pairs → fail-many test selection → summary → next loop, at O(N) LLM calls).
Design rules:
sv7is the shared control for every mechanism cell (same units, same pinned loop-0, byte-identical seed payloads; GENSEEDs 52007-52011 vs 52004).- Label provenance is held constant: all cells keep the full v7 labeling stack (sample anchors + label-free probes + wb-certify). Mechanisms change WHERE discriminating inputs come from / WHICH failures are shown — never how expected outputs are decided (the exp3 lesson: candidate-derived labels poison repair).
- Call budget: pw7 = sv7 exactly; pop7 spends 2 wb calls instead of ≤8 (cheaper); sum7/hm7 add 1 summary call + one CPU fail-count pass per problem-loop; sel7 adds only the CPU pass.
- Only
u00+u01per mechanism cell (~295 problems) — small-shard fast-turnaround for the one-window handoff; extendable to u02/u03 later since the build is deterministic from the sv7 units. - Analysis (ours, on returns): paired per-problem vs sv7 on the same units;
primary = next-loop Δ official pass-fraction (partial credit) + reach;
secondary = feedback coverage, poison band, conversion, within-arm
silent-wrong drift;
selffb/audits carrywb_mode,fail_counts(emitted order),summary_chars; fb_audit logssummary_injected. - Mechanism validation: 21-check CPU integration test (mocked LLM, real exec harness + real pipeline) ran all five flag sets end-to-end incl. operator injection round-trip; plus the 198-check cut verify. No live-GPU smoke — the changed paths are phase-A-only and env-gated in phase B.
sv8 (v8 loop policy), motivation all measured 2026-08-16: (a) all-green
freeze — a problem with zero feedback blocks for 2 consecutive loops stops
evolving, its population carried forward in every checkpoint (cc-03250 went
15/16 passing → 0/16 one loop after its bank went all-green; freeze also
recovers the wasted post-success generation); (b) doubled probe call — two
independent validator+input sets unioned (single-call probe sets measured
high-variance across arms); (c) eff-ref caching — certification refs are
synthesized once and re-validated by execution on later loops (saves 2
calls/problem/loop from loop 2 on).
sv8 validation status (2026-08-16, be aware): mechanisms are unit-tested (freeze mark/stage/merge cycle, label-free contract, 150-check cut verify) and the loop-1 cycle ran live end-to-end (stage → synthesis with probe-calls 2 → evolution on staged ck → merge → mark; eff-cache write confirmed). The freeze-FIRING path and eff-cache HIT are unit-tested but were not exercised in a live run (GPU window ended), and the 25-problem quality pre-flight vs v7 is pending. Run sv7/sv7d freely; start sv8 only after we confirm its pre-flight (or accept the reduced validation).
The v7 verifier per loop (~5-6 LLM calls/problem on the pod's own vLLM):
- official-sample anchoring (extract + validate statement samples — carries most of the crack power on its own);
- constraint-aware label-free probes: a generated VALIDATOR program admits
weird-but-valid inputs; kept probes ship
output: nulland fail candidates ONLY on crash/timeout — zero label-poison by construction (measured 0/182); - basis-aimed white-box tests on all-green candidates, with wb-certify: an expected output survives only if two independently-prompted efficient references (sample-hard-gated) reproduce it; otherwise the input is kept label-free. (Measured: first labeled-wb arm under the 9% poison band at L1; the residual is problems where every ref family shares one misread.)
What is in a unit (vs a round5-fb-cells unit)
units_cells/r5sv_120b_{sv7,sv7d}_u{00..03}/
seeds.jsonl byte-identical to the ctl unit
ck_nonsat/<unit>_loop0.json byte-identical pinned round-4 loop-0
selffb_seeds.jsonl seeds minus SPJ-checker + functional problems (545 of
589 total) — the v7 machinery is stdin-only; excluded
problems run with NO feedback blocks (call-type has
none in ANY r5 cell; the 26 SPJ rows lose feedback vs
the oracle cells — a documented parity cost)
budgets.jsonl {id, L: 8} for the selffb seeds
unit.env RUN_NAME/LOOPS/CELL/GENSEED/FB_*/V2_FLAGS
(NO fb_tests.jsonl — the oracle suite is never fed)
GENSEED 52004 (sv7) / 52005 (sv7d) — fresh per cell like r5's 52001-3
(replay-trap rule); routing.seed stays 1234 (same loop-1 parent grouping as
r4 and every r5 cell).
Running
Node prep (idempotent, self-testing — includes the case-select validation AND the new label-free-probe contract test 自检 4):
bash minipatch/install.sh /path/to/tts-sft
Per unit (any order, cells independent, resume = re-run):
UNIT=<dataset>/units_cells/r5sv_120b_sv7_u00 RUN_DIR=<out>/r5sv_120b_sv7_u00 \
bash run_shard_r5_sv.sh
The runner alternates per evolution loop: phase A (self-verifier test
synthesis, writes RUN_DIR/selffb/loop<t>_tests.jsonl + persistent
test_bank.jsonl + audits) then phase B (one SE loop with LCB_FB_PUBLIC
pointed at phase A's file). Both phases resume. Runner FATALs unless the SV
minipatch is installed (sanity 6 checks the label-free harness support and the
selffb scripts directly).
Cost (estimate)
Generation ≈ an r5 oracle cell (1.1B billed/cell). Phase A adds ~5-6 short
calls/problem/loop ≈ +5-10% tokens but real wall time: expect **1.5-2× the
oracle-cell unit wall** (15-20 h/unit vs 9-10). 8 units ≈ **2.5B billed
total**. Returns include selffb/ (banks + audits) — please send those back
too; the verifier-side analysis needs them.
Analysis when returns land (ours)
Grade with the round-4 checker-aware fleet. Primary readouts, all paired
against the oracle cells on the same problems:
(a) stalled-500 crack count: sv7 vs ctl (how much reach survives self-
verification) and vs div; (b) guard-set retention; (c) per-candidate partial
credit (distribution improvement on uncracked problems — the goal-2a metric);
(d) poison/coverage audits from the returned banks + fb_audit.jsonl
(shown_cases works in all cells); (e) sv7d vs sv7 = case-diversity's marginal
on self banks.
- Downloads last month
- 543