Upload dataset

README.md

@@ -754,6 +754,30 @@ dataset_info:
     num_examples: 465
   download_size: 9214278
   dataset_size: 8091186
+- config_name: permeability_penetrance__perm_peptideclm_with_embeddings_unpooled
+  features:
+  - name: sequence
+    dtype: string
+  - name: smiles
+    dtype: string
+  - name: label
+    dtype: int64
+  - name: embedding
+    list:
+      list: float16
+  - name: attention_mask
+    list: int8
+  - name: length
+    dtype: int64
+  splits:
+  - name: train
+    num_bytes: 392267370
+    num_examples: 1859
+  - name: val
+    num_bytes: 96599140
+    num_examples: 465
+  download_size: 474514467
+  dataset_size: 488866510
 configs:
 - config_name: binding_affinity__pair_wt_chemberta_pooled
   data_files:
@@ -953,4 +977,10 @@ configs:
     path: permeability_penetrance__perm_peptideclm_with_embeddings/train-*
   - split: val
     path: permeability_penetrance__perm_peptideclm_with_embeddings/val-*
+- config_name: permeability_penetrance__perm_peptideclm_with_embeddings_unpooled
+  data_files:
+  - split: train
+    path: permeability_penetrance__perm_peptideclm_with_embeddings_unpooled/train-*
+  - split: val
+    path: permeability_penetrance__perm_peptideclm_with_embeddings_unpooled/val-*
 ---

permeability_penetrance__perm_peptideclm_with_embeddings_unpooled/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
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+size 382575793

permeability_penetrance__perm_peptideclm_with_embeddings_unpooled/val-00000-of-00001.parquet

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+size 91938674