---
license: apache-2.0
dataset_info:
  features:
  - name: id
    dtype: int32
  - name: x
    sequence: image
  - name: color
    dtype:
      class_label:
        names:
          '0': DarkSlateGray
          '1': OrangeRed
          '2': Yellow
          '3': SpringGreen
          '4': Cyan
          '5': Purple
          '6': DodgerBlue
          '7': DeepPink
          '8': NavajoWhite
  - name: shape
    dtype:
      class_label:
        names:
          '0': square
          '1': ellipse
          '2': heart
  - name: posX
    dtype:
      class_label:
        names:
          '0': '0.06452'
          '1': '0.19355'
          '2': '0.32258'
          '3': '0.45161'
          '4': '0.58065'
          '5': '0.70968'
          '6': '0.83871'
          '7': '0.96774'
  - name: posY
    dtype:
      class_label:
        names:
          '0': '0.06452'
          '1': '0.19355'
          '2': '0.32258'
          '3': '0.45161'
          '4': '0.58065'
          '5': '0.70968'
          '6': '0.83871'
          '7': '0.96774'
  - name: scale_dynamic
    dtype:
      class_label:
        names:
          '0': increasing_1x
          '1': decreasing_1x
          '2': increasing_2x
          '3': decreasing_2x
          '4': increasing_3x
          '5': decreasing_3x
  - name: orientation_dynamic
    dtype:
      class_label:
        names:
          '0': counterclockwise
          '1': static
          '2': clockwise
  splits:
  - name: train
    num_bytes: 36447828.056
    num_examples: 21772
  - name: val
    num_bytes: 13035775.304
    num_examples: 4666
  - name: test
    num_bytes: 13064702.304
    num_examples: 4666
  download_size: 53718665
  dataset_size: 62548305.664
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: val
    path: data/val-*
  - split: test
    path: data/test-*
---

## MSD dSprites-Static Dataset Attribution

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

In this modified sequential version, the object's **color**, **shape**, and **position** are fixed, while its **scale** and **orientation** change over time.

- Original repository:
  https://github.com/deepmind/dsprites-dataset
```
@misc{dsprites17,
author = {Loic Matthey and Irina Higgins and Demis Hassabis and Alexander Lerchner},
title = {dSprites: Disentanglement testing Sprites dataset},
howpublished= {https://github.com/deepmind/dsprites-dataset/},
year = "2017",
}
```
⚠ **Note:** The dSprites dataset is licensed under the Apache License 2.0. We redistribute it here solely for non-commercial research purposes, following the original license terms. Please cite the above when using this dataset in your work.