Update README.md

README.md

@@ -16,4 +16,17 @@ configs:
   data_files:
   - split: test
     path: data/test-*
+language:
+- en
+tags:
+- chemistry
+- pubchem
+- SMILES
+- chemteb
+pretty_name: PubChem Canonical SMILES and Titles Bitext Mining
+size_categories:
+- 1K<n<10K
+license: cc-by-nc-sa-4.0
 ---
+# PubChem Canonical SMILES and Titles Bitext Mining
+This dataset contains two separate lists: one of canonical SMILES strings and the other of corresponding entity titles, both sourced from PubChem ([ChEBI](https://www.ebi.ac.uk/chebi/) source). The task is to identify matching pairs between the SMILES strings and the titles, where each SMILES string from the first list should be aligned with its corresponding entity title from the second list. The dataset is intended for bitext mining tasks, where the goal is to correctly retrieve the matching title for each chemical entity represented by its SMILES string, providing a valuable resource for chemical entity alignment and retrieval tasks.