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/webdataset/webdataset.py", line 84, in _split_generators
                  raise ValueError(
                  ...<2 lines>...
                  )
              ValueError: The TAR archives of the dataset should be in WebDataset format, but the files in the archive don't share the same prefix or the same types.
              
              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.

All retained PGM experiment data and banks β€” one archive

Private research artifact backup for Ever2after/PGM. All contents are consolidated into one .tar.zst file. The per-file manifest, restore instructions, verification script and Git source snapshot are inside.

Item Value
Archive pgm-all-experiment-artifacts.tar.zst
Original file/link entries (including source/tools) 1,156,797
Original bytes 44,507,770,680
Compressed bytes 17,589,709,201
SHA256 396f3d8a9c341960d5c6682bb711ea7094d7c777de38fde3277596aee4e19fd8

Includes every retained artifacts/data/ and artifacts/runs/: V2/V5 bootstrap, training tensors, datasets and banks; ReASC comparison; all model/dataset follow-up banks; raw/scored responses, embeddings, native logprobs, gold, checkpoints, preprocessing, calibrated policies, locks, decisions and results. Linked banks are archived once and reused through portable relative symlinks.

Pretrained model/package caches, virtual environments, prior export bundles and transient lock/PID files are excluded. Historical files deleted before this backup are not reconstructed. Regular-file contents retain their original bytes. Dataset contents, upstream code and model artifacts retain their original licenses/access terms; this archive grants no new rights to upstream assets.

Download and restore

Authenticate to HF with an account that can access this private dataset. Install huggingface_hub for downloading and the system/conda zstd command for extraction.

from huggingface_hub import hf_hub_download
hf_hub_download(
    "Ever2after/PGM-experiment-artifacts",
    "pgm-all-experiment-artifacts.tar.zst",
    repo_type="dataset",
    local_dir="pgm_artifacts_download",
)
cd pgm_artifacts_download
echo '396f3d8a9c341960d5c6682bb711ea7094d7c777de38fde3277596aee4e19fd8  pgm-all-experiment-artifacts.tar.zst' | sha256sum -c -
mkdir -p PGM-restored
tar --zstd -xf pgm-all-experiment-artifacts.tar.zst -C PGM-restored
cd PGM-restored
python verify_artifacts.py

verify_artifacts.py uses the Python standard library to check every restored file's size and SHA256 and all symbolic-link targets. Use a fresh destination. The full per-file index is artifact_transfer/file_manifest.jsonl; summaries and detailed restoration notes are inside the archive. Recorded model/legacy Python dependencies are separate from the download environment. With the required experiment dependencies installed, python verify_artifacts.py --locks also verifies original comparison and follow-up selection locks.

The uploaded archive is tested locally, and its server-side content hash is verified against the SHA256 above. For the compact ready-to-run Omni transfer kit, see PGM-omni-resume.

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