Some more update

README.md

@@ -24,12 +24,32 @@ dataset_info:
 ---
 # Human IL-6 binding dataset
 
-Nanobodies binding IL-6 were obtained from the [Github repo](https://github.com/cognano/AVIDa-hIL6) for [Tsuruta et al. (2023)](https://arxiv.org/abs/2306.03329).
+Nanobodies binding IL-6 were obtained from the [Github repo](https://github.com/cognano/AVIDa-hIL6) for [Tsuruta et al. (2023)](https://arxiv.org/abs/2306.03329). Labels for antibody sequences were provided from the Github repo as-is. 
 
-Labels for antibody sequences were provided from the Github repo as-is. Briefly, we first removed any nanobody sequence having lower than 75% ![image](il6-binding-seqid.png)
+Briefly, we first removed any nanobody sequence having lower than 75%; human germline sequence identity was determined using ANARCI. ![image](il6-binding-seqid.png)
 
-Following 
+Among the remaining 232084 sequences, we only use antibodies that have confirmed binding to one IL-6 variant or has no binding to any IL-6 variant, leading to 211920 sequences.
+This was de-duplicated, leading to a total of 14,467 sequences. Non-binder sequences were randomly under-sampled using [imbalanced-learn](https://github.com/scikit-learn-contrib/imbalanced-learn).
+
+During stratification, we also ensure that any two sequences in the training/validation/test sets have a minimum Levenshtein distance of 1 across the CDR3 region.
+
+In total there are
+* 1310 sequences in training
+* 163 sequences in validation
+* 163 sequences in test.
+
+| vh_full | label |
+| ------- | ----- |
+| EVQ...  | 1     |
+| QVQ...  | 0     |
+| EVQ...  | 1     |
+| EVK...  | 0     |
 
 ## License
 
 The data is distributed under a CC-BY-NC license.
+
+## References
+
+* [AVIDA-hIL6 publication](https://arxiv.org/abs/2306.03329)
+* [ANARCI](https://academic.oup.com/bioinformatics/article/32/2/298/1743894)