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 80, in _split_generators
raise ValueError(
...<2 lines>...
)
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 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.
Banana placement — 80 raw Piper demonstrations
Task: grasp the banana from the table and place it on the plate.
This repository contains 80 raw recorded episodes, ep1 through ep80. Each
data/epNNN.tar preserves the original task2/epN/ directory structure.
The source contains 197,749 files totaling 28,135,737,510 bytes (before TAR headers).
Each episode has color/head, color/hand, depth/head, depth/hand,
joint, and end_pose. Images are PNG and robot records are JSON.
All six data directories were found nonempty in every episode, and no
zero-byte source files were found. Individual image and JSON contents have
not all been decoded or validated. Sensor counts can differ; timestamps
must be aligned before conversion or training. This is not a ready-made
LeRobot Parquet dataset, and the old converted dataset frame count should
not be applied to these raw records.
The first and last episodes were visually sampled and show banana placement. The first image of ep1 matches the first image of the previously available single-episode converted sample pixel for pixel.
Extract
Download the dataset, then from its root run:
mkdir -p extracted
for archive in data/*.tar; do tar -xf "$archive" -C extracted; done
This produces extracted/task2/ep1 through extracted/task2/ep80.
manifest.json records each archive's SHA-256, size, original file count,
and per-episode sensor file counts. No license is assigned here because
the source's redistribution license has not been supplied.
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