Error code:   ConfigNamesError
Exception:    BadZipFile
Message:      zipfiles that span multiple disks are not supported
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 67, in compute_config_names_response
                  config_names = get_dataset_config_names(
                      path=dataset,
                      token=hf_token,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                      path,
                  ...<4 lines>...
                      **download_kwargs,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1182, in dataset_module_factory
                  raise e1 from None
                File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1157, in dataset_module_factory
                  ).get_module()
                    ~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 647, in get_module
                  module_name, default_builder_kwargs = infer_module_for_data_files(
                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      data_files=data_files,
                      ^^^^^^^^^^^^^^^^^^^^^^
                      path=self.name,
                      ^^^^^^^^^^^^^^^
                      download_config=self.download_config,
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 302, in infer_module_for_data_files
                  split: infer_module_for_data_files_list(data_files_list, download_config=download_config)
                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 246, in infer_module_for_data_files_list
                  return infer_module_for_data_files_list_in_archives(data_files_list, download_config=download_config)
                File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 273, in infer_module_for_data_files_list_in_archives
                  f.split("::")[0] for f in xglob(extracted, recursive=True, download_config=download_config)
                                            ~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/utils/file_utils.py", line 1052, in xglob
                  fs, *_ = url_to_fs(urlpath, **storage_options)
                           ~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/fsspec/core.py", line 408, in url_to_fs
                  fs = filesystem(protocol, **inkwargs)
                File "/usr/local/lib/python3.14/site-packages/fsspec/registry.py", line 303, in filesystem
                  return cls(**storage_options)
                File "/usr/local/lib/python3.14/site-packages/fsspec/spec.py", line 81, in __call__
                  obj = super().__call__(*args, **kwargs)
                File "/usr/local/lib/python3.14/site-packages/fsspec/implementations/zip.py", line 62, in __init__
                  self.zip = zipfile.ZipFile(
                             ~~~~~~~~~~~~~~~^
                      self.fo,
                      ^^^^^^^^
                  ...<3 lines>...
                      compresslevel=compresslevel,
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/zipfile/__init__.py", line 1472, in __init__
                  self._RealGetContents()
                  ~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/zipfile/__init__.py", line 1535, in _RealGetContents
                  endrec = _EndRecData(fp)
                File "/usr/local/lib/python3.14/zipfile/__init__.py", line 375, in _EndRecData
                  return _EndRecData64(fpin, filesize - sizeEndCentDir, endrec)
                File "/usr/local/lib/python3.14/zipfile/__init__.py", line 303, in _EndRecData64
                  raise BadZipFile("zipfiles that span multiple disks are not supported")
              zipfile.BadZipFile: zipfiles that span multiple disks are not supported

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DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning

[Paper] [Code] [Project Website]

Gaoyue Zhou, Hengkai Pan, Yann LeCun and Lerrel Pinto, New York University, Meta AI

This repository mirrors the datasets and pre-trained checkpoints originally hosted on OSF. Files are byte-identical to the OSF release.

datasets/
├── point_maze.zip
├── pusht_noise.zip
├── wall_single.zip
├── deformable.zip      # multi-part archive: .zip + .z01 + .z02 + .z03
├── deformable.z01
├── deformable.z02
└── deformable.z03
checkpoints/
└── outputs.zip         # trained world models for PointMaze, PushT, and Wall

Download

pip install -U huggingface_hub
hf download gaoyuezhou/dino_wm --repo-type dataset --local-dir ./dino_wm_data

Or a single task:

hf download gaoyuezhou/dino_wm datasets/pusht_noise.zip --repo-type dataset --local-dir ./dino_wm_data

Setup

Unzip the archives. For the deformable dataset, combine all parts first:

cd dino_wm_data/datasets
zip -s- deformable.zip -O deformable_full.zip
unzip deformable_full.zip
unzip point_maze.zip; unzip pusht_noise.zip; unzip wall_single.zip

Then point the code at the data folder:

export DATASET_DIR=/path/to/dino_wm_data/datasets

Expected structure:

datasets
├── deformable
│   ├── granular
│   └── rope
├── point_maze
├── pusht_noise
└── wall_single

Checkpoints: unzip checkpoints/outputs.zip and set ckpt_base_path in the plan configs to its parent folder. See the code README for planning commands.

Citation

@article{zhou2024dino,
  title={DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning},
  author={Zhou, Gaoyue and Pan, Hengkai and LeCun, Yann and Pinto, Lerrel},
  journal={arXiv preprint arXiv:2411.04983},
  year={2024}
}

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Paper for gaoyuezhou/dino_wm

DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning

Paper • 2411.04983 • Published Nov 7, 2024 • 14