The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code:   ConfigNamesError
Exception:    DataFilesNotFoundError
Message:      No (supported) data files found in varunbel/crossway_ducks
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 66, in compute_config_names_response
                  config_names = get_dataset_config_names(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 347, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1873, in dataset_module_factory
                  raise e1 from None
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1854, in dataset_module_factory
                  return HubDatasetModuleFactoryWithoutScript(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1245, in get_module
                  module_name, default_builder_kwargs = infer_module_for_data_files(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 595, in infer_module_for_data_files
                  raise DataFilesNotFoundError("No (supported) data files found" + (f" in {path}" if path else ""))
              datasets.exceptions.DataFilesNotFoundError: No (supported) data files found in varunbel/crossway_ducks

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Crossway Ducks

This is the dataset repo for real world experiments presented in ICRA'24 paper Crossway Diffusion: Improving Diffusion-based Visuomotor Policy via Self-supervised Learning.

These datasets are collected in the same format as robomimic. To train on this dataset (and your own datasets), please modify your config file as follows:

  1. Change dataset_path to the path of hdf5 file.
  2. Use the following shape_meta.
shape_meta:
  action:
    shape:
    - 4
  obs:
    pos:
      shape:
      - 4
      type: low_dim
    camera0:
      shape:
      - 3
      - 120
      - 160
      type: rgb
    camera1:
      shape:
      - 3
      - 120
      - 160
      type: rgb

For the training and evaluation code, please visit our github repo.

Watch 🎬 video presentation!

For questions, please raise a github issue.

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