TalBarami/msd_3dshapes
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}… See the full description on the dataset page: https://huggingface.co/datasets/TalBarami/msd_3dshapes.
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1---2license: apache-2.03configs:4- config_name: default5 data_files:6 - split: train7 path: data/train-*8 - split: val9 path: data/val-*10 - split: test11 path: data/test-*12dataset_info:13 features:14 - name: id15 dtype: int3216 - name: x17 sequence: image18 - name: floor_hue19 dtype:20 class_label:21 names:22 '0': '0.0'23 '1': '0.1'24 '2': '0.2'25 '3': '0.3'26 '4': '0.4'27 '5': '0.5'28 '6': '0.6'29 '7': '0.7'30 '8': '0.8'31 '9': '0.9'32 - name: wall_hue33 dtype:34 class_label:35 names:36 '0': '0.0'37 '1': '0.1'38 '2': '0.2'39 '3': '0.3'40 '4': '0.4'41 '5': '0.5'42 '6': '0.6'43 '7': '0.7'44 '8': '0.8'45 '9': '0.9'46 - name: object_hue47 dtype:48 class_label:49 names:50 '0': '0.0'51 '1': '0.1'52 '2': '0.2'53 '3': '0.3'54 '4': '0.4'55 '5': '0.5'56 '6': '0.6'57 '7': '0.7'58 '8': '0.8'59 '9': '0.9'60 - name: shape61 dtype:62 class_label:63 names:64 '0': cube65 '1': cylinder66 '2': sphere67 '3': capsule68 - name: scale_dynamic69 dtype:70 class_label:71 names:72 '0': increasing_1x73 '1': decreasing_1x74 '2': increasing_2x75 '3': decreasing_2x76 '4': alternating_big_small77 '5': alternating_small_big78 - name: orientation_dynamic79 dtype:80 class_label:81 names:82 '0': counterclockwise83 '1': static84 '2': clockwise85 splits:86 - name: train87 num_bytes: 1719272462.088 num_examples: 5040089 - name: val90 num_bytes: 386294024.091 num_examples: 1080092 - name: test93 num_bytes: 385308154.094 num_examples: 1080095 download_size: 199299003896 dataset_size: 2490874640.097---98 99 100## MSD Shapes3D Dataset Attribution101 102The Multi-factor Sequential Disentanglement benchmark includes a **modified variant of the 3D Shapes dataset**, adapted to support sequential multi-factor disentanglement.103 104In this setup, the **floor hue**, **wall hue**, **object hue**, and **shape** are static, while the **scale** and **orientation** change over time.105 106 107- Original repository: 108 https://github.com/deepmind/3d-shapes109 110```111@misc{3dshapes18,112 title={3D Shapes Dataset},113 author={Burgess, Chris and Kim, Hyunjik},114 howpublished={https://github.com/deepmind/3dshapes-dataset/},115 year={2018}116}117```118 119⚠ **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 paper when using this dataset in your work.120 121 122 