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 81, in _split_generators
first_examples = list(islice(pipeline, self.NUM_EXAMPLES_FOR_FEATURES_INFERENCE))
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 32, in _get_pipeline_from_tar
fs: fsspec.AbstractFileSystem = fsspec.filesystem("memory")
~~~~~~~~~~~~~~~~~^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/fsspec/registry.py", line 302, in filesystem
cls = get_filesystem_class(protocol)
File "/usr/local/lib/python3.14/site-packages/fsspec/registry.py", line 239, in get_filesystem_class
raise ValueError(f"Protocol not known: {protocol}")
ValueError: Protocol not known: memory
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 71, 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.
SWE-rebench leaderboard Docker bundles
This repository contains migration-compatible Docker save archives for a deterministic one-task-per-repository sample of the public nebius/SWE-rebench-leaderboard test split.
Cohort
- Source revision:
34d5a58864acf91613740a09ec5d205228dcfa39 - Source rows: 860
- Unique repositories and sampled tasks: 413
- Unique Docker images: 413
- Bundle archives: 374
- Compressed bundle bytes: 751,033,962,288
Repositories are normalized with strip().casefold(). Within each repository, the chosen task minimizes SHA-256(b"swe-rebench-leaderboard-one-per-repo-v1\0" + instance_id.encode()). This makes the pseudo-random sample deterministic and independent across repositories.
Layout
bundles/*.docker.tar.gz: gzip-compresseddocker savearchives grouped by image family.manifest/images.tsv: task, exact image, and archive mapping.manifest/bundle-plan.jsonl: planned contents for every archive.manifest/bundles.jsonl: completed archive sizes and timestamps.manifest/summary.json: final build status.
Every archive passed gzip integrity validation, and its embedded Docker manifest.json tags were compared with the planned image set. All 374 archives matched with zero failures or partial files.
Load one archive with:
docker load -i bundles/<family>.docker.tar.gz
The leaderboard task metadata is licensed CC BY 4.0. Each bundled image and its repository contents remain subject to their respective upstream licenses.
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