Update README.md

README.md

@@ -19,7 +19,8 @@ The ChEBI-20-MM is an extensive and multi-modal benchmark developed from the ChE
 ChEBI-20-MM is an expansion of the original ChEBI-20 dataset, with a focus on incorporating diverse modalities of molecular data. This benchmark is tailored to assess models in several key areas:
 
 - **Molecule Generation**: Evaluating the ability of models to generate accurate molecular structures.
-- **Image and IUPAC Recognition**: Testing models on their proficiency in interpreting and converting molecular images and IUPAC names into other representational formats.
+- **Image Recognition**: Testing models on their proficiency in converting molecular images into other representational formats.
+- **IUPAC Recognition**: Evaluating the ability of models to generate IUPAC names from other representational formats.
 - **Molecular Captioning**: Assessing the capability of models to generate descriptive captions for molecular structures.
 - **Retrieval Tasks**: Measuring the effectiveness of models in retrieving molecular information accurately and efficiently.