Update README.md
Browse files## MSD Shapes3D Dataset Attribution
The Multi-factor Sequential Disentanglement benchmark includes a **modified variant of the 3D Shapes dataset**, adapted to support sequential multi-factor disentanglement.
In this setup, the **floor hue**, **wall hue**, **object hue**, and **shape** are static, while the **scale** and **orientation** change over time.
- Original repository:
https://github.com/deepmind/3d-shapes
```
@misc
{3dshapes18,
title={3D Shapes Dataset},
author={Burgess, Chris and Kim, Hyunjik},
howpublished={https://github.com/deepmind/3dshapes-dataset/},
year={2018}
}
```
⚠ **Note:** The 3D Shapes dataset is released under the Apache License 2.0. We redistribute it here solely for non-commercial research purposes, following the original publication. Please cite the above when using this dataset in your work.
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license: apache-2.0
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path: data/test-*
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dataset_info:
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features:
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dtype: int32
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- name: x
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sequence: image
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- name: floor_hue
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dtype:
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dtype:
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dtype:
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class_label:
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names:
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'0': '0.75'
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'1': '1.25'
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- name: shape
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dtype:
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class_label:
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names:
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'0': cube
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'1': cylinder
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'2': sphere
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'3': capsule
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'4': alternating_big_small
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'5': alternating_small_big
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dtype:
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'0': counterclockwise
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splits:
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num_bytes: 1719422360.0
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num_examples: 50400
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- name: val
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num_bytes: 385934168.0
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num_examples: 10800
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num_bytes: 386670112.0
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num_examples: 10800
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download_size: 1993673319
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dataset_size: 2492026640.0
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---
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---
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license: apache-2.0
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configs:
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- config_name: default
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data_files:
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path: data/train-*
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path: data/val-*
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path: data/test-*
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dataset_info:
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features:
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- name: id
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dtype: int32
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- name: x
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sequence: image
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- name: floor_hue
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dtype:
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class_label:
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names:
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dtype:
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names:
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dtype:
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class_label:
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names:
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names:
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dtype:
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class_label:
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names:
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'0': cube
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'1': cylinder
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'3': capsule
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- name: orientation
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dtype:
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class_label:
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names:
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'0': '-30.0'
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dtype:
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splits:
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num_examples: 10800
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download_size: 1993673319
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dataset_size: 2492026640.0
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---
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