--- 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.