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BASF-AI/PubChemSMILESCanonDescBM

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Hugging Face2024-09-23 更新2025-04-12 收录
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https://hf-mirror.com/datasets/BASF-AI/PubChemSMILESCanonDescBM
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--- dataset_info: features: - name: description dtype: string - name: canonical_smiles dtype: string splits: - name: test num_bytes: 3000530 num_examples: 15457 download_size: 1353859 dataset_size: 3000530 configs: - config_name: default data_files: - split: test path: data/test-* license: cc-by-nc-sa-4.0 language: - en tags: - chemistry - pubchem - SMILES - chemteb pretty_name: PubChem Canonical SMILES and Descriptions Bitext Mining size_categories: - 10K<n<100K --- # PubChem Canonical SMILES and Descriptions Bitext Mining This dataset contains two separate lists: one of canonical SMILES strings and the other of corresponding entity descriptions, 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 descriptions, where each SMILES string from the first list should be aligned with its corresponding description from the second list. The dataset is intended for bitext mining tasks, where the goal is to correctly retrieve the matching description for each chemical entity represented by its SMILES string, providing a valuable resource for chemical entity alignment and retrieval tasks.
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