dataset_info:
features:
- name: vh
dtype: string
- name: label
dtype:
class_label:
names:
'0': non-binder
'1': binder
splits:
- name: train
num_bytes: 177739
num_examples: 1310
- name: eval
num_bytes: 22104
num_examples: 163
- name: test
num_bytes: 22462
num_examples: 163
download_size: 62689
dataset_size: 222305
Human IL-6 binding dataset
Nanobodies binding IL-6 were obtained from the Github repo for Tsuruta et al. (2023). Labels for antibody sequences were provided from the Github repo as-is.
Briefly, we first removed any nanobody sequence having lower than 75%; human germline sequence identity was determined using ANARCI. 
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.
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 4.0 license.