The data from PLAsTiCC is now unblinded and hosted on Zenodo.
We’re happy to announce that the preliminary dataset for the Photometric LSST Astronomical Time-series Classification Challenge (PLAsTiCC) has been submitted to Kaggle.
While the data has been scrutinized heavily internally, Kaggle’s data scientists will begin their own validation of the dataset, and PLAsTiCC team members will work with Kaggle to address any remaining concerns.
We aim to begin the public challenge on Kaggle in midsummer, and it will run for three months through Fall 2018 (exact dates are under negotiation).
Many thanks to the (for the present, anonymous) model contributors from LSST Dark Energy Science Collaboration (DESC) and LSST Transient and Variable Stars Science Collaboration (TVS).
The ball is rolling, and we look forward to many teams contributing their classifiers!