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BASF-AI/PubChemSMILESCanonTitleBM

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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/PubChemSMILESCanonTitleBM
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--- dataset_info: features: - name: title dtype: string - name: canonical_smiles dtype: string splits: - name: test num_bytes: 981489 num_examples: 15457 download_size: 550577 dataset_size: 981489 configs: - config_name: default 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.
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