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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: scale
dtype:
class_label:
names:
'0': '0.5'
'1': '0.6'
'2': '0.7'
'3': '0.8'
'4': '0.9'
'5': '1.0'
- name: orientation
dtype:
class_label:
names:
'0': '0.0'
'1': '0.32221'
'2': '0.64443'
'3': '0.96664'
'4': '1.28886'
- name: posX_dynamic
dtype:
class_label:
names:
'0': right_1x
'1': left_1x
'2': right_2x
'3': left_2x
'4': mid_right
'5': mid_left
- name: posY_dynamic
dtype:
class_label:
names:
'0': down_1x
'1': up_1x
'2': down_2x
'3': up_2x
'4': mid_down
'5': mid_up
splits:
- name: train
num_bytes: 29330065.672
num_examples: 20412
- name: val
num_bytes: 9822019.138
num_examples: 4374
- name: test
num_bytes: 9787552.138
num_examples: 4374
download_size: 49141904
dataset_size: 48939636.948
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: val
path: data/val-*
- split: test
path: data/test-*
---
## MSD dSprites-Dynamic 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**, **scale**, and **orientation** are fixed, while its **spatial position** may 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. |