This is the real state 10k dataset from https://google.github.io/realestate10k, just in an easier way to download.
The camera trajectories for RealEstate10K are on the folder RealEstate10K
The data consists of a set of .txt files, one for each video clip, specifying timestamps and poses for frames in that clip. For a learning application, frames can be sampled from the training clips in order for learning, for instance, a view synthesis model. In Google's 2018 SIGGRAPH paper Stereo Magnification: Learning view synthesis using multiplane images, for example, triplets of frames were sampled from each clip during training, two for predicting a model, and a third held out as ground truth for computing a view synthesis loss used to train the network.
This data is licensed by Google LLC under a Creative Commons Attribution 4.0 International License.
The data is split into train and test subdirectories, each with a set of .txt files, one .txt file for each video clip (about 90% of the clips are in train, and the remaining 10% in test). The format of each .txt file is as follows: