diff --git a/README.rst b/README.rst
index d8977133615e16fe2e8e83004ae6228d73b2006d..41cfa27e9cc39b5d336c563bca8d0ebe7d58bba4 100644
--- a/README.rst
+++ b/README.rst
@@ -116,6 +116,8 @@ You need to configure a few important paths that are used in the code to read in
     # Paths to preexisting databases
     # Folder containing Multi-PIE images
     bob config set bob.db.multipie.directory <path_to_folder> (*data* folder in the downloaded database).
+    # Folder containing FFHQ images
+    bob config set bob.db.ffhq.directory <path_to_folder>
 
 
     # Paths to generated content
@@ -125,6 +127,8 @@ You need to configure a few important paths that are used in the code to read in
     bob config set bob.synface.latent_directions <path_to_pickle_file.pkl>
     # Folder to store generated data
     bob config set bob.synface.synthetic_datasets <path_to_folder>
+    # Folder to score biometric evaluation results
+    bob config set bob.synface.scores <path_to_folder>
 
 Run dataset projection
 **********************
@@ -154,7 +158,7 @@ in the latent space:
    ./bin/latent_analysis.py --seed 0
 
 The results will be stored in the Pickle file pointed by the `bob.synface.latent_directions` entry of the `.bobrc` configuration file.
-
+In case you don't want to regenerate yourself those latent directions, we provide them already in this repo under the path `precomputed/latent_directions.pkl`.
 
 Generate a synthetic database
 *****************************
@@ -187,9 +191,15 @@ the identities are split to generate all variations.
 Run benchmark experiments
 *************************
 
-Upcoming
-
+Contrary to all previous scripts, the benchmark experiments are based on Bob 9.0 and Tensorflow 2. Therefore, one rerun the :code:`buildout` command with the Bob 9.0 environment as a basis.
+This is done with:
+::
+   conda activate synbenchmark
+   buildout
 
+which should in particular create
+1. `./bin/python` Custom Python executable containing the benchmark env. extended with `bob.paper.ijcb2021_synthetic_dataset`
+2. `./bin/uniqueness_experiment.py` Custom benchmark script to compare identities from two different database (Seed and Synthetic).
 
 
 Contact
diff --git a/precomputed/latent_directions.pkl b/precomputed/latent_directions.pkl
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