The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
PROTOCOL.md: string
README.md: string
artifacts/v5/diagnostics/e4-stall/2026-09-19T19-18-20-00-00_E4-full_A45hcWTQrssD7Lwa665mt6.eval: string
artifacts/v5/diagnostics/e4-stall/2026-09-19T19-18-20-00-00_E4-full_A45hcWTQrssD7Lwa665mt6.eval.1218 (... 4 chars omitted): string
artifacts/v5/diagnostics/e4-stall/2026-09-19T19-18-20-00-00_E4-full_bqwSzLpDrrk6D3YP5LPjj8.eval: string
artifacts/v5/diagnostics/e4-stall/2026-09-19T19-18-20-00-00_E4-full_bqwSzLpDrrk6D3YP5LPjj8.eval.1218 (... 4 chars omitted): string
artifacts/v5/diagnostics/e4-stall/2026-09-19T19-18-20-00-00_E4-full_eQKBvQGBo53Vuy4SVmy2a8.eval: string
artifacts/v5/diagnostics/e4-stall/2026-09-19T19-18-20-00-00_E4-full_eQKBvQGBo53Vuy4SVmy2a8.eval.1218 (... 4 chars omitted): string
artifacts/v5/diagnostics/e4-stall/2026-09-19T19-18-20-00-00_E4-full_j7x4xYyJ9s6hZJ8vQVqgZH.eval: string
artifacts/v5/diagnostics/e4-stall/2026-09-19T19-18-20-00-00_E4-full_j7x4xYyJ9s6hZJ8vQVqgZH.eval.1218 (... 4 chars omitted): string
artifacts/v5/diagnostics/e4-stall/2026-09-19T19-18-20-00-00_E4-full_m4oKz8VxUyb5iex7o8LZJq.eval: string
artifacts/v5/diagnostics/e4-stall/2026-09-19T19-18-20-00-00_E4-full_m4oKz8VxUyb5iex7o8LZJq.eval.1218 (... 4 chars omitted): string
artifacts/v5/diagnostics/e4-stall/durable-counts.json: string
artifacts/v5/diagnostics/e4-stall/investigation.json: string
artifacts/v5/diagnostics/e4-stall/live-native-stacks.txt: string
artifacts/v5/diagnostics/e4-stall/process-containment-test.json: string
artifacts/v5/diagnostics/e4
...
ta.py: string
src/encoding_tax/design.py: string
src/encoding_tax/erasure_validation.py: string
src/encoding_tax/gates.py: string
src/encoding_tax/interventions.py: string
src/encoding_tax/judge_retry.py: string
src/encoding_tax/math_references.py: string
src/encoding_tax/math_worker.py: string
src/encoding_tax/natural.py: string
src/encoding_tax/preflight.py: string
src/encoding_tax/prompts.py: string
src/encoding_tax/provider.py: string
src/encoding_tax/reasoning_validation.py: string
src/encoding_tax/redline_view.py: string
src/encoding_tax/review.py: string
src/encoding_tax/scoring.py: string
src/encoding_tax/statistics.py: string
src/encoding_tax/tasks.py: string
src/encoding_tax/tokenization.py: string
src/encoding_tax/transport.py: string
tests/conftest.py: string
tests/test_cli_tasks.py: string
tests/test_concurrency_amendment.py: string
tests/test_full_judge_acceptance.py: string
tests/test_gates.py: string
tests/test_inspect_integration.py: string
tests/test_math_scoring.py: string
tests/test_native_reasoning.py: string
tests/test_preparation_v2.py: string
tests/test_protocol.py: string
tests/test_redline_view.py: string
tests/test_review_regressions.py: string
tests/test_score_retry.py: string
tests/test_statistics.py: string
tests/test_transport.py: string
tests/test_v5_adjudication.py: string
prior_archive_revision: string
amendment_after_initial_full_launch: bool
prepared_at: string
files: int64
manifest_sha256: string
archive_bytes: int64
archive_sha256: string
to
{'prepared_at': Value('string'), 'archive_sha256': Value('string'), 'archive_bytes': Value('int64'), 'files': Value('int64'), 'manifest_sha256': Value('string'), 'amendment_after_initial_full_launch': Value('bool'), 'prior_archive_revision': 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
PROTOCOL.md: string
README.md: string
artifacts/v5/diagnostics/e4-stall/2026-09-19T19-18-20-00-00_E4-full_A45hcWTQrssD7Lwa665mt6.eval: string
artifacts/v5/diagnostics/e4-stall/2026-09-19T19-18-20-00-00_E4-full_A45hcWTQrssD7Lwa665mt6.eval.1218 (... 4 chars omitted): string
artifacts/v5/diagnostics/e4-stall/2026-09-19T19-18-20-00-00_E4-full_bqwSzLpDrrk6D3YP5LPjj8.eval: string
artifacts/v5/diagnostics/e4-stall/2026-09-19T19-18-20-00-00_E4-full_bqwSzLpDrrk6D3YP5LPjj8.eval.1218 (... 4 chars omitted): string
artifacts/v5/diagnostics/e4-stall/2026-09-19T19-18-20-00-00_E4-full_eQKBvQGBo53Vuy4SVmy2a8.eval: string
artifacts/v5/diagnostics/e4-stall/2026-09-19T19-18-20-00-00_E4-full_eQKBvQGBo53Vuy4SVmy2a8.eval.1218 (... 4 chars omitted): string
artifacts/v5/diagnostics/e4-stall/2026-09-19T19-18-20-00-00_E4-full_j7x4xYyJ9s6hZJ8vQVqgZH.eval: string
artifacts/v5/diagnostics/e4-stall/2026-09-19T19-18-20-00-00_E4-full_j7x4xYyJ9s6hZJ8vQVqgZH.eval.1218 (... 4 chars omitted): string
artifacts/v5/diagnostics/e4-stall/2026-09-19T19-18-20-00-00_E4-full_m4oKz8VxUyb5iex7o8LZJq.eval: string
artifacts/v5/diagnostics/e4-stall/2026-09-19T19-18-20-00-00_E4-full_m4oKz8VxUyb5iex7o8LZJq.eval.1218 (... 4 chars omitted): string
artifacts/v5/diagnostics/e4-stall/durable-counts.json: string
artifacts/v5/diagnostics/e4-stall/investigation.json: string
artifacts/v5/diagnostics/e4-stall/live-native-stacks.txt: string
artifacts/v5/diagnostics/e4-stall/process-containment-test.json: string
artifacts/v5/diagnostics/e4
...
ta.py: string
src/encoding_tax/design.py: string
src/encoding_tax/erasure_validation.py: string
src/encoding_tax/gates.py: string
src/encoding_tax/interventions.py: string
src/encoding_tax/judge_retry.py: string
src/encoding_tax/math_references.py: string
src/encoding_tax/math_worker.py: string
src/encoding_tax/natural.py: string
src/encoding_tax/preflight.py: string
src/encoding_tax/prompts.py: string
src/encoding_tax/provider.py: string
src/encoding_tax/reasoning_validation.py: string
src/encoding_tax/redline_view.py: string
src/encoding_tax/review.py: string
src/encoding_tax/scoring.py: string
src/encoding_tax/statistics.py: string
src/encoding_tax/tasks.py: string
src/encoding_tax/tokenization.py: string
src/encoding_tax/transport.py: string
tests/conftest.py: string
tests/test_cli_tasks.py: string
tests/test_concurrency_amendment.py: string
tests/test_full_judge_acceptance.py: string
tests/test_gates.py: string
tests/test_inspect_integration.py: string
tests/test_math_scoring.py: string
tests/test_native_reasoning.py: string
tests/test_preparation_v2.py: string
tests/test_protocol.py: string
tests/test_redline_view.py: string
tests/test_review_regressions.py: string
tests/test_score_retry.py: string
tests/test_statistics.py: string
tests/test_transport.py: string
tests/test_v5_adjudication.py: string
prior_archive_revision: string
amendment_after_initial_full_launch: bool
prepared_at: string
files: int64
manifest_sha256: string
archive_bytes: int64
archive_sha256: string
to
{'prepared_at': Value('string'), 'archive_sha256': Value('string'), 'archive_bytes': Value('int64'), 'files': Value('int64'), 'manifest_sha256': Value('string'), 'amendment_after_initial_full_launch': Value('bool'), 'prior_archive_revision': 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.
Encoding Tax v5: frozen pre-full-reader archive
Protocol, source, configuration, pilot results, source traces, judge annotations, audit evidence and finalized cohort, frozen before the full reader experiments. The upload commit provides an external timestamp; this is not a claim of registration with a formal study registry.
The archive includes all recorded protocol amendments. The user accepted the full judge annotations after reviewing audit samples; no independent full human/judge agreement score is claimed. Earlier pilot audit measurements and adjudications remain distinct. The cohort has 62 matched families (124 Simple/Hard items, 31 donor pairs) across all seven subjects. All 59,160 full erasure validation cases passed. Selected concurrency is 16 per reader, with the documented throughput exception.
Extract encoding-tax-v5-preregistration.tar, then extract its evidence.tar.gz and method-and-manifests.tar.gz into one directory. The JSON inventories provide file hashes. preregistration-local.json identifies the frozen method; archive-receipt.json records the archive SHA-256. Its external_publication_completed: false field describes the local preparation stage, before this upload.
Original data provenance and upstream dataset pins are preserved inside the archive; this upload does not change the upstream datasets' licensing terms. Credentials, caches, the local scratch inventory and the user's unrelated draft protocol are excluded.
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