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/python3.12/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 82, in _split_generators
                  raise ValueError(
              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 65, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                         ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/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.

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Check out the documentation for more information.

OGBench Torch Backup

PyTorch implementations for OGBench (Offline Goal-conditioned Benchmark) with multiple algorithm variants.

Download & Extract

# huggingface_hub 설치 (필요시)
pip install huggingface-hub==0.20.2

# 다운로드
huggingface-cli download leekwoon/260204_ogbench_torch_backup --repo-type dataset --local-dir ./ogbench_torch_backup

# 무결성 확인 (선택사항)
cd ogbench_torch_backup
md5sum -c checksums.md5

# 파일 합치기 및 압축 해제
cat data.tar.gz.part_* | tar -xzvf -

Directory Structure

ogbench_torch/
├── impls/                # Base implementations
├── impls_diffuser/       # Diffuser-based implementations
├── impls_hilp/           # HILP implementations
├── impls_scots/          # SCOTS implementations
├── hyperparameters.sh    # Hyperparameter configurations
├── requirements.txt      # Python dependencies
└── upload_to_hf.sh       # This upload script

Implementations

Base (impls)

Core algorithm implementations for OGBench

Diffuser (impls_diffuser)

Diffusion model-based planning for goal-conditioned tasks

HILP (impls_hilp)

Hierarchical Implicit Latent Planning implementations

SCOTS (impls_scots)

SCOTS algorithm implementations

PyTorch implementations, hyperparameter configs, and experiment scripts for offline goal-conditioned RL benchmarks.

Downloads last month: 5

Total file size:

6.87 GB

Datasets:

leekwoon
/

260204_ogbench_torch_backup