The event-Human 3.6m is a synthetic conversion of the the Human 3.6m dataset (H36m). H36m is an existing benchmark video dataset for Human Pose Estimation. This has been cropped optimally and converted to event streams. The final resolution of the samples is 640x480. The Ground Truth is adjusted accordingly. Code for this conversion is available at https://github.com/event-driven-robotics/hpe-core The dataset is split into parts by zip. To use, download the parts. For linux systems, use the command cat h36m.z* > eh36m.zip then unzip normally. S9 and S11 are test subjects, the rest are training splits. There is a .py file present to demonstrate reading a sample and GT from the dataset.If you use this dataset in your project, please cite the following paper: @inproceedings{goyal2023moveenet, title={MoveEnet: Online High-Frequency Human Pose Estimation with an Event Camera}, author={Goyal, Gaurvi and Di Pietro, Franco and Carissimi, Nicolo and Glover, Arren and Bartolozzi, Chiara}, booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition}, pages={4023--4032}, year={2023}} DOI: https://doi.org/10.1109/CVPRW59228.2023.00420