SYLVESTER is an ecology dataset

The task of SYLVESTER is to classify forest cover types. The forest cover type for 30 x 30 meter cells is obtained from US Forest Service (USFS) Region 2 Resource Information System (RIS) data. Part of the data of the SYLVESTER dataset was used previously in the Performance Prediction challenge, the Model Selection game, and the Agnostic Learning vs. Prior Knowledge (ALvsPK) challenge and the Active Learning Challenge, under the name SYLVA, but the feature representation was modified to prevent matching the samples.
CausalityThis dataset is used in the Unsupervised and Transfer Learning Challenge by the Causality Workbench