| --- |
| language: |
| - en |
| tags: |
| - mcd |
| - animal-behavior |
| - motor-motifs |
| - reinforcement-learning |
| pretty_name: MCD supplementary replay buffers |
| --- |
| |
| # MCD supplementary replay buffers |
|
|
| This dataset hosts five large serialized data files used with the |
| [MCD code repository](https://github.com/G1NO3/MCD). |
| 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: |
|
|
| ```bash |
| 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. |
|
|
