README.md

---
license: apache-2.0
task_categories:
- feature-extraction
tags:
- disentanglement
- sequential_disentanglement
pretty_name: SMD Sprites
size_categories:
- 10K<n<100K
dataset_info:
  features:
  - name: id
    dtype: int32
  - name: x
    sequence: image
  - name: movement
    dtype:
      class_label:
        names:
          '0': front walk
          '1': left walk
          '2': right walk
          '3': front spellcard
          '4': left spellcard
          '5': right spellcard
          '6': front slash
          '7': left slash
          '8': right slash
  - name: body
    dtype:
      class_label:
        names:
          '0': light
          '1': neutral
          '2': dark-gray
          '3': gray
          '4': brown
          '5': black
  - name: bottom
    dtype:
      class_label:
        names:
          '0': white
          '1': yellow
          '2': red
          '3': gray
          '4': shade-green
          '5': green
  - name: top
    dtype:
      class_label:
        names:
          '0': red
          '1': blue
          '2': white
          '3': gray
          '4': brown
          '5': white-tie
  - name: hair
    dtype:
      class_label:
        names:
          '0': green
          '1': blue
          '2': orange
          '3': white
          '4': red
          '5': purple
  splits:
  - name: train
    num_bytes: 110413032.432
    num_examples: 8164
  - name: val
    num_bytes: 24119309.5
    num_examples: 1750
  - name: test
    num_bytes: 24075703.5
    num_examples: 1750
  download_size: 140865862
  dataset_size: 158608045.43199998
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: val
    path: data/val-*
  - split: test
    path: data/test-*
---

## MSD Sprites Dataset Attribution

The Multi-factor Sequential Disentanglement benchmark includes a **modified variant of the Sprites dataset**, adapted to support sequential multi-factor disentanglement.

- Original repository:  
  https://github.com/YingzhenLi/Sprites

- Reference paper:  
  Y. Li, J. Yu, C. Zhang, C. Gan.  
  *Disentangled Sequential Autoencoder*, ICML 2018.  
  https://arxiv.org/abs/1803.02991
  
```
@inproceedings{li2018disentangle,
  title = {Disentangled Sequential Autoencoder},
  author = {Li, Yingzhen and Mandt, Stephan},
  booktitle = {International Conference on Machine Learning},
  year = {2018}
}
```

⚠ **Note:** The Sprites dataset does not have an explicit open-source license. We redistribute it here solely for non-commercial research purposes, following the original publication. Please cite the above paper when using this dataset in your work.