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The dataset generation failed
Error code: DatasetGenerationError
Exception: TypeError
Message: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1531, in _prepare_split_single
for key, record in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 127, in _generate_examples
for example_idx, example in enumerate(self._get_pipeline_from_tar(tar_path, tar_iterator)):
~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 32, in _get_pipeline_from_tar
for filename, f in tar_iterator:
^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/track.py", line 49, in __iter__
for x in self.generator(*self.args):
~~~~~~~~~~~~~~^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 1400, in _iter_from_urlpath
with xopen(urlpath, "rb", download_config=download_config, block_size=0) as f:
~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 977, in xopen
file_obj = fs.open(paths[0], mode)
File "<string>", line 3, in open
File "/usr/local/lib/python3.14/unittest/mock.py", line 1176, in __call__
return self._mock_call(*args, **kwargs)
~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/unittest/mock.py", line 1180, in _mock_call
return self._execute_mock_call(*args, **kwargs)
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/unittest/mock.py", line 1247, in _execute_mock_call
result = effect(*args, **kwargs)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 786, in wrapped
tracker.files[urlpath] = {"read": 0, "size": int(f.size)}
~~~^^^^^^^^
TypeError: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1393, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1571, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
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End of preview.
Agent-as-a-Verifier Meta-Verification Artifacts
Private research backup for the Agent-as-a-Verifier and Meta-Verification project. This repository contains redacted Codex session snapshots and redacted/certified Agent-as-a-Verifier experiment evidence.
Layout
codex_sessions/
tb_science_hopt_aav_campaign_lead/
main_lead_anirudh_call_budget_campaign/
tb2_deepswe_reduced_hopt_campaign/
anirudh_handoff_review_subagents/
anirudh_call_budget_review_subagents/
agent_as_verifier_runs/
direct_agent_verifier_20260922/
tb_science_aav_continuation_b16_20260924/
tb_science_aav_continuation_b32_20260924/
current_runs/
anirudh_call_budget_mv_20261001/
checkpoints/
latest_status.json
manifests/
Session files retain their original Codex rollout basenames and are compressed
as .jsonl.gz. Credential-like strings are replaced before upload. The raw
unredacted sessions remain local and are not published.
The direct-Agent archive is the immutable certified evidence bundle documented by the campaign report. Continuation archives exclude rebuildable runtime, container state, caches, and credential homes while retaining prompts, decisions, trajectories, usage, cost, retry, and audit evidence.
manifests/upload_state.json records source paths, roles, snapshot sizes,
source and uploaded-object SHA-256 hashes, redaction status, timestamps, and
remote paths. Upload is incremental and never deletes remote files.
Live campaign checkpoints
The active Anirudh call-budget campaign is checkpointed every 20 minutes.
Each immutable checkpoint contains redacted run-level results, summaries,
audits, control records, orchestrator errors, and logs. Rebuildable runtime,
container state, caches, and credential homes are excluded. latest_status.json
records the newest completion counts and checkpoint path. Complete parent and
delegated-child evidence is archived separately when each campaign cell closes.
Latest checkpoint: 2026-10-03T00:23:13.978992+00:00
Archive: current_runs/anirudh_call_budget_mv_20261001/checkpoints/20261003T002313Z.tar.gz
Selected files: 1192
Canonical Code progress: [{"model_call_budget":50,"canonical_groups":95,"expected_groups":100},{"model_call_budget":100,"canonical_groups":97,"expected_groups":100},{"model_call_budget":200,"canonical_groups":70,"expected_groups":100}]
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