MCD supplementary replay buffers

This dataset hosts five large serialized data files used with the MCD code repository. It includes four artifacts from the supplied supplementary code package and the free-moving training buffer from the development workspace, all copied unchanged. They are research replay-buffer artifacts, not a tabular dataset.

Files and original paths

Path relative to the code repository	Bytes
free-moving/kms/train_data_all.pth	297,740,911
free-moving/kms/test_data_all.pth	74,518,191
gridworld/model/RandomGridWorld-v0/spedersac/replay_buffer_VI_onehotsa.pkl	30,718,255
labyrinth/model/labyrinth/spedersac/replay_buffer_labyrinth.pkl	252,812,591
labyrinth/model/labyrinth/spedersac/replay_buffer_random_labyrinth.pkl	191,970,927

The total size of these five files is 847,760,875 bytes. data_manifest.json records byte sizes and SHA-256 checksums. Paths are preserved so the files can be restored into the code repository without modifying scripts.

Download and verify

From a checkout of the code repository:

pip install huggingface_hub
python download_data.py

The downloader restores the expected paths and verifies SHA-256 checksums. The repository documentation describes the original Conda environment and experiment-specific launchers.

Scope and limitations

The free-moving buffers contain 515,120 training transitions and 128,781 test transitions, with 16-dimensional states and 16-dimensional displacement actions. The training buffer is read by main.py; the test buffer is read by visualize.py. The source code and experiment-specific instructions are in the GitHub repository.

This dataset does not include the later macaque drawing experiments. Some individual analysis routines may require additional generated artifacts; publishing these files does not establish end-to-end reproducibility of every analysis script.

These files use pickle or PyTorch serialization. Only deserialize files from a trusted source; checksum verification checks integrity, not execution safety. No new license is selected by this packaging step. Consult the authors regarding reuse permissions and any applicable source-data conditions.