diff --git a/derivatives/labels_softseg/README.txt b/derivatives/labels_softseg/README.txt
index e37728ba0c..71f8f44936 100644
--- a/derivatives/labels_softseg/README.txt
+++ b/derivatives/labels_softseg/README.txt
@@ -1,18 +1,11 @@
-The derivatives labels_softseg include soft segmentations (_softseg) of the spinal cord. Softsegs were generated artificially by averaging binary segmentations of multiple contrasts using [process_data.sh](https://github.com/sct-pipeline/contrast-agnostic-softseg-spinalcord/blob/v1.1/process_data.sh).
+The derivatives labels_softseg include soft segmentations (_softseg) of the spinal cord. Softsegs were generated artificially by averaging binary segmentations of multiple contrasts using [process_data.sh](https://github.com/sct-pipeline/contrast-agnostic-softseg-spinalcord/blob/v2.2/processing_spine_generic/process_data.sh).
 
 Main processing steps include:
 
-- Spinal cord segmentation on 6 contrasts
+- Spinal cord segmentation on 6 contrasts (T1w, T2w, T2star, flip-1_mt-on_MTS, flip-2_mt-off and rec-average_dwi)
 - Aligning the images with T2w
 - Averaging of the segmentations according to each FOV
 - Bringing back the segmentations to the original space
 
-All problematic registrations were excluded and the pipeline was run again so the softsegs only include good registrations.
-7 subjects were excluded:
-    - sub-brnoUhb02
-    - sub-brnoUhb03
-    - sub-brnoUhb07
-    - sub-brnoUhb08
-    - sub-mountSinai03
-    - sub-oxfordFmrib01
-    - sub-ucdavis07
+All problematic registrations or if a contrast was missing were excluded and the pipeline was run again so the softsegs only include good registrations.
+Excluded subjects are listed here: [exclude.yml](https://github.com/sct-pipeline/contrast-agnostic-softseg-spinalcord/blob/v2.2/exclude.yml)
diff --git a/derivatives/labels_softseg_bin/README.md b/derivatives/labels_softseg_bin/README.md
new file mode 100644
index 0000000000..dc82ec3a2a
--- /dev/null
+++ b/derivatives/labels_softseg_bin/README.md
@@ -0,0 +1,5 @@
+The derivatives labels_softseg_bin include binarized soft segmentations (desc-softseg_label-SC_seg) of the spinal cord. Softsegs bin were generated artificially by averaging binary segmentations of multiple contrasts using [process_data.sh](https://github.com/sct-pipeline/contrast-agnostic-softseg-spinalcord/blob/v2.2/processing_spine_generic/process_data.sh) followed by binarization.
+
+
+All problematic registrations or if a contrast was missing were excluded and the pipeline was run again so the softsegs only include good registrations.
+Excluded subjects are listed here: [exclude.yml](https://github.com/sct-pipeline/contrast-agnostic-softseg-spinalcord/blob/v2.2/exclude.yml)