ChemTEB Bitext Mining Datasets
Collection
Chemical Bitext Mining Datasets for Evaluating Text Embedding Models
• 8 items • Updated
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This dataset consists of two lists: one containing both isomeric and canonical SMILES strings, and the other containing the corresponding molecular formulas of chemical entities, sourced from CoconutDB. The primary task is to identify matching pairs between the SMILES strings and their molecular formulas. Each SMILES string from the first list should be accurately aligned with its corresponding molecular formula from the second list. This dataset is a subset of BASF-We-Create-Chemistry/CoconutSmiles2NameBitextMining with 5000 samples.