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 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.
MolmoSpaces RING IL — train-ready datasets
Three train-ready imitation-learning datasets, each packed as an uncompressed tar
(payload is already-compressed mp4 + .ckpt, so gzip buys nothing).
| archive | uncompressed | contents |
|---|---|---|
ring_il_v2-76_house6_NO_RANDOMISATION_train_ready.tar |
~23 GB | house-6 ablation, no randomisation |
ring_il_v2-77_house6_RANDOMISATION_train_ready.tar |
~39 GB | house-6 ablation, with randomisation |
ring_il_v66_train_ready.tar.part00/01/02 |
~120 GB | BIG_SCALEUP main run (split, see below) |
Each archive expands to a directory containing:
train/,val/— per-worker episode dirs (worker_N/) ofraw_*_camera__*.mp4plus onehdf5_sensors.hdf5per workersplit_manifest.json— the train/val split (seed, val fraction, episodes per worker)evals/— eval summaries, per-house results, rollout videostrain_logs/— training checkpoints (.ckpt) and wandb run data
The original RAW/ collection directories are not included: their mp4s are
byte-duplicates of train/ + val/, so omitting them halves the download.
Download and extract
pip install -U huggingface_hub
hf download chinchinati/molmospaces_ring_il_train_ready \
--repo-type dataset --local-dir ./molmospaces_ring_il
cd molmospaces_ring_il
tar -xf ring_il_v2-76_house6_NO_RANDOMISATION_train_ready.tar
tar -xf ring_il_v2-77_house6_RANDOMISATION_train_ready.tar
v66 is split across three parts
v66 exceeds the 50 GB per-file limit, so it is stored as three ≤45 GB parts.
Concatenate them in order before extracting:
cat ring_il_v66_train_ready.tar.part* > ring_il_v66_train_ready.tar
tar -xf ring_il_v66_train_ready.tar
rm ring_il_v66_train_ready.tar # optional
Extracting everything needs roughly 180 GB of free disk (plus another 120 GB transiently while reassembling v66).
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