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README.md

@@ -14,7 +14,7 @@ size_categories:
 
 Binary classification dataset for predicting cocrystal formation given two small molecules represented as SMILES.
 
-For single‑sequence encoder models (e.g., BERT‑style), we provide `smiles_concat`, which concatenates `smiles_a` and `smiles_b` with a period separator: `smiles_a.smiles_b`. For Bi-encoder and Cross‑encoder models, use the provided `smiles_a` and `smiles_b` fields directly.
+For single‑sequence encoder models (e.g., BERT‑style), we provide `smiles`, which concatenates `smiles_a` and `smiles_b` with a period separator: `smiles_a.smiles_b`. For Bi-encoder and Cross‑encoder models, use the provided `smiles_a` and `smiles_b` fields directly.
 
 ## Source
 - [Original dataset page](https://sites.google.com/view/medardemswahili/publications-awards#h.kcrgyq3r642s)
@@ -22,7 +22,7 @@ For single‑sequence encoder models (e.g., BERT‑style), we provide `smiles_co
 ## Data fields
 - `smiles_a` (string): Active Pharmaceutical Ingredient (API) SMILES. Unmodified from the source.
 - `smiles_b` (string): Coformer SMILES. Unmodified from the source.
-- `smiles_concat` (string): Concatenation of `smiles_a` and `smiles_b` with a period, for encoder models.
+- `smiles` (string): Concatenation of `smiles_a` and `smiles_b` with a period, for encoder models.
 - `label` (int): Binary class, {0: None, 1: Cocrystal}.
 
 ## Citation