Dataset Viewer
The dataset viewer is not available for this subset.
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: 'parity.even.hack.very_hacker.0'
              
              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.

Need 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.

ortho

Data for ekhadley/ortho, a SPAR project testing whether refusal-style orthogonalization can remove reward hacking from a trained model. Most rollouts are from Qwen3.8-27B and Qwen3.6-27B, in the environments of ekhadley/rh-envs.

The layout mirrors the code repo, so downloading into a clone puts every file where the code reads it:

hf download eekay/ortho --repo-type dataset --local-dir .

Add --include "data/inspect/*" (or any other path) to fetch one part.

Path Contents
data/inspect/<env>/ Rollout records, one jsonl per Inspect run, one rollout per line: turns, cheat flags, labels, the run config and the served token ids. Envs: grader, mbpp, secret_number, terminal_verifier, impossible_bench.
data/vectors/<model>/ Saved directions, [n_layers, d_model] safetensors with json sidecars, and the readouts and screens computed from them.
data/loras/Qwen3.8-27B/ The LoRA adapters of train_lora.py at each saved step, with their held-out scores.
data/openrouter/, data/resample/ gpt-oss-120b grader records taken through OpenRouter, and resampled parity rollouts.
logs/<env>/ The raw Inspect .eval logs the records were converted from, and the launchers' printed output.
logs/tbench/jobs/ Terminal-Bench 2 job directories, one per served row.
acts/ Outputs of the analysis scripts that run on the GPU box: neurons, kto_sweep (with the CheatBench runs), dom_hunt, nocot_readout, fd_gain, joint_probe.

The code repo's README.md documents the runs and interventions, and its CLAUDE.md the scripts that write each path.

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