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/python3.14/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 78, 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 54, in _get_pipeline_from_tar
                  current_example[field_name] = cls.DECODERS[data_extension](current_example[field_name])
                                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 316, in npy_loads
                  return numpy.lib.format.read_array(stream, allow_pickle=False)
                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/numpy/lib/_format_impl.py", line 820, in read_array
                  version = read_magic(fp)
                File "/usr/local/lib/python3.14/site-packages/numpy/lib/_format_impl.py", line 245, in read_magic
                  raise ValueError(msg % (MAGIC_PREFIX, magic_str[:-2]))
              ValueError: the magic string is not correct; expected b'\x93NUMPY', got b'l\xbf\x8e=\x0e\xbf'
              
              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.

Drawer policy training data

Private reproduction assets for video_lam drawer generator / one-way / independent ActionDiT.

training_caches_and_lowdim.tar includes:

  • robot_cache_train_s7_val_s28: 2733 FAE32/query + first-frame VAE cache rows.
  • human_cache_train_s7_val_s28: 1471 cached rows.
  • robot_prepared_train_s7_val_s28: raw absolute action, initial proprio, validity masks, episode splits, manifest.
  • human_prepared_train_s7_val_s28: original manifest and split provenance.
  • text_close_the_drawer: projected 512x1024 text embedding.
  • stats/train_lowdim_stats.json: robot-train q01/q99, lowdim clipping disabled.

Extract this archive into your data root. Do not rewrite manifests or infer row mapping from filenames. Cache-only training does not require raw videos. Optional original videos are in raw/policy_drawer_robot.zip and raw/policy_drawer_human.zip. Robot camera is observation.images.top, human camera is camera_ego.

Full instructions/checkpoints/portable launcher: https://huggingface.co/Jiiiiiisoo/drawer-policy-training-dependencies

Code pinned to 136d46242762ae4097be9343aa13d3efc59ad211 of https://github.com/jiiiisoo/video_lam/tree/codex/drawer-human-generator-policy

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