The HTRU1 Batched Dataset is a subset of the HTRU Medlat Training Data, a collection of labeled pulsar candidates from the intermediate galactic latitude part of the HTRU survey. HTRU1 was originally assembled to train the SPINN pulsar classifier. If you use this dataset please cite: SPINN: a straightforward machine learning solution to the pulsar candidate selection problem V. Morello, E.D. Barr, M. Bailes, C.M. Flynn, E.F. Keane and W. van Straten, 2014, Monthly Notices of the Royal Astronomical Society, vol. 443, pp. 1651-1662 arXiv:1406:3627 The High Time Resolution Universe Pulsar Survey - I. System Configuration and Initial Discoveries M. J. Keith et al., 2010, Monthly Notices of the Royal Astronomical Society, vol. 409, pp. 619-627 arXiv:1006.5744 The HTRU1 Batched Dataset consists of 60000 32x32 images in 2 classes: pulsar & non-pulsar. Each image has 3 channels (equivalent to RGB), but the channels contain different information: Channel 0: Period Correction - Dispersion Measure surface Channel 1: Phase - Sub-band surface Channel 2: Phase - Sub-integration surface There are 50000 training images and 10000 test images. The HTRU1 Batched Dataset is inspired by the CIFAR-10 Dataset. The dataset is divided into five training batches and one test batch. Each batch contains 10000 images. These are in random order, but each batch contains the same balance of pulsar and non-pulsar images. Between them, the six batches contain 1194 true pulsars and 58806 non-pulsars. The htru1.py file contains an instance of the torchvision Dataset() for the HTRU1 Batched Dataset.

https://as595.github.io/HTRU1/