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---
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.
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