Dataset Viewer

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Cannot get the split names for the config 'default' of the dataset.

Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/eval/eval.py", line 41, in _split_generators
                  first_examples = list(
                      islice(
                  ...<2 lines>...
                      )
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/eval/eval.py", line 60, in _iter_samples_from_log_files
                  sample_files.sort(key=self._sort_samples_key)
                  ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/eval/eval.py", line 56, in _sort_samples_key
                  return (int(epoch_idx_str), int(sample_idx_str))
                                              ~~~^^^^^^^^^^^^^^^^
              ValueError: invalid literal for int() with base 10: 'cc_1549_a_gregor_and_cryptography'
              
              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/split_names.py", line 68, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ~~~~~~~~~~~~~~~~~~~~~~~^
                      path=dataset,
                      ^^^^^^^^^^^^^
                      config_name=config,
                      ^^^^^^^^^^^^^^^^^^^
                      token=hf_token,
                      ^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                      path,
                  ...<6 lines>...
                      **config_kwargs,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

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Restricted files moved (2026-10-05). 55 files (0.56 GB) holding WMDP or GPQA eval content were moved to the private companion repo Misalignment-Empirics/theo_oct-fixed-stack-results-restricted at the same paths, so that this repo can stay public. WMDP is a hazardous-knowledge benchmark; GPQA's authors ask that its items not be published. The moved paths are listed in RESTRICTED_FILES.json. Every other eval cell is still here. To restore the full tree, download both repos into one directory (companion access needs Misalignment-Empirics membership). History before the split was squashed.

Status: NOT the paper's results. OCT fixed-stack run, 3 seeds (2026-09-05). The paper's canonical results are Misalignment-Empirics/theo_impulsive-qwen_2_5-7b-14b-32b-big_eval_results, run runs/impulsive-qwen_2_5-7b-14b-32b-20260925/.

MO_evals results

Raw per-sample results from MO_evals runs (private, CLAUDE.md §5). One directory per upload; nothing here is aggregated — the Parquet and the .eval logs are the primary evidence, the scorecard is a summary of them.

<upload>/                                  results tree, as uploaded
  <persona>__<method>__scale<n>__<fam>/    one organism
    <spec_hash>/                           one seed of it
      spec.json                            spec_hash -> persona, method, scale, seed, fake
      seed<n>__<spec_hash>__<eval>.parquet one row per sample, raw_output populated
  logs/                                    Inspect .eval logs (absent if --no-logs)
  report/                                  rendered scorecard, when one was uploaded
  view/                                    static Inspect log viewer, when one was bundled
  config.yaml                              the exact config the run used, when uploaded

Uploaded by scripts/upload_results.py in the MO_evals repo, which is the source of truth for how these were produced. Judge caveats (calibration status, fake-mode bans) live in the run's config and scorecard, not here. Uploads made before 2026-08-27 nest the tree one level deeper, under runs/<run-name>/results/.

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