Update README.md

README.md

@@ -12,31 +12,6 @@ dataset_summary: 'The multi-chain training data for ProteinMPNN'
 dataset_description:
 acknowledgements: 'We kindly acknowledge the ProteinMPNN team, RosettaCommons, and the following institutions: University of California, Los Angeles; University of Maryland; University of Oregon; University of Michigan; University of Pennsylvania; and the Wistar Institute'
 repo: https://github.com/dauparas/ProteinMPNN
-dataset_info:
-  - config_name: list_with_splits
-    features:
-      - name: CHAINID
-        dtype: string
-      - name: DEPOSITION
-        dtype: string
-      - name: RESOLUTION
-        dtype: real
-      - name: HASH
-        dtype: int
-      - name: CLUSTER
-        dtype: int
-      - name: SEQUENCE
-        dtype: string
-      - name: SPLIT
-        dtype: string
-    splits:
-      - name: training
-        num_bytes: 49507680022
-      - name: test
-        num_bytes: 1985519880
-      - name: validation
-        num_bytes: 1902985040
-    download_size: 53568184942
 citation_bibtex: '@article{Dauparas2022,
     title = {Robust deep learning–based protein sequence design using ProteinMPNN},
     volume = {378},