https://archive.ics.uci.edu/ml/datasets/Victorian+Era+Authorship+Attribution
In total it has 53678 rows and 50 different authors
We simplified the task to 2990 rows and 4 different authors
https://www.kaggle.com/lakshmi25npathi/imdb-dataset-of-50k-movie-reviews
In total it has 49582 rows and 2 label: positive and negative
We simplified the task to 3000 rows
2 separately trained models
One model with 2 heads: author classification and imdb sentiment
48. 0. 0. 0.
1. 20. 0. 0.
1. 0. 4. 1.
2. 8. 0. 64.
Accuracy: 91%
70. 7.
4. 69.
Accuracy: 93%