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/python3.12/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 82, in _split_generators
                  raise ValueError(
              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 65, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                         ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/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.

Solaris Training Dataset

Project Page | Paper | Github

The training dataset collected via SolarisEngine to train the Solaris multiplayer world model for Minecraft.

Dataset Info

The dataset contains 12.64 M frames across two players. It was recorded at 20 FPS. The observation (video) dimensions are: 1280 × 720.

The action space is presented below:

Action key Type Description
forward bool/sustained Player moving forward (W).
back bool/sustained Player moving backward (S).
left bool/sustained Player strafing left (A).
right bool/sustained Player strafing right (D).
jump bool/sustained Player jumping.
sprint bool/sustained Player sprinting.
sneak bool/sustained Player sneaking.
camera vec2/sustained Change in player camera orientation (yaw, pitch).
attack bool/once Player attacks.
use bool/once Player uses / interacts with the environment.
mount bool/once Player mounts an entity/vehicle.
dismount bool/once Player dismounts.
place_block bool/once Player places a block using the currently selected item.
place_entity bool/once Player places an entity item.
mine bool/sustained Player mining a block.
hotbar.1 bool/once Player selects hotbar slot 1.
hotbar.2 bool/once Player selects hotbar slot 2.
hotbar.3 bool/once Player selects hotbar slot 3.
hotbar.4 bool/once Player selects hotbar slot 4.
hotbar.5 bool/once Player selects hotbar slot 5.
hotbar.6 bool/once Player selects hotbar slot 6.
hotbar.7 bool/once Player selects hotbar slot 7.
hotbar.8 bool/once Player selects hotbar slot 8.
hotbar.9 bool/once Player selects hotbar slot 9.

Usage

The multiplayer Duet dataset is stored in a sharded form on Hugging Face. You can download and unshard it using the following steps:

1. Download the shards

hf download nyu-visionx/solaris-training-dataset --repo-type dataset --local-dir YOUR_STORAGE_PATH/datasets

2. Unshard the dataset

Run the unshard_dataset.py script provided in the Solaris repository:

python unshard_dataset.py --shards YOUR_STORAGE_PATH/datasets/duet_sharded --out YOUR_STORAGE_PATH/datasets/duet

Citation

@article{savva2025solaris,
  title={Solaris: Building a Multiplayer Video World Model in Minecraft},
  author={Georgy Savva and Oscar Michel and Daohan Lu and Suppakit Waiwitlikhit and Timothy Meehan and Dhairya Mishra and Srivats Poddar and Jack Lu and Saining Xie},
  journal={arXiv preprint arXiv:2602.22208},
  year={2025}
}
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