text: Figure 4: 2D projection of tasks’ data. 90 random samples per task’s data are embedded using multlingual-e5-small 
  model (Wang et al., 2022). The embeddings are reduced to 2 dimensions using PCA. The centroid of each task’s 
  data is represented, along with the ellipse showing the standard deviation along each axis. 