The dataset viewer is not available for this subset.
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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