We introduce our new dataset, Spaces, to provide a more challenging shared dataset for future view synthesis research. Spaces consists of 100 indoor and outdoor scenes, captured using a 16-camera rig. For each scene, we captured image sets at 5-10 slightly different rig positions (within ∼10cm of each other). This jittering of the rig position provides a flexible dataset for view synthesis, as we can mix views from different rig positions for the same scene during training. We calibrated the intrinsics and the relative pose of the rig cameras using a standard structure from motion approach, using the nominal rig layout as a prior. We corrected exposure differences . For our main experiments we undistort the images and downsample them to a resolution of 800 × 480. We use 90 scenes from the dataset for training and hold out 10 for evaluation.