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README.md
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data_files:
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- split: test
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path: data/test-*
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---
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data_files:
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- split: test
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path: data/test-*
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license: cc-by-nc-sa-4.0
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language:
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- en
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tags:
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- chemistry
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- pubchem
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- SMILES
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- chemteb
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pretty_name: PubChem Canonical SMILES and Descriptions Bitext Mining
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size_categories:
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- 10K<n<100K
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---
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# PubChem Canonical SMILES and Descriptions Bitext Mining
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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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