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README.md
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download_size: 291334748
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dataset_size: 411000126.0
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Existing benchmarks for Optical Chemical Structure Recognition have some limitations.
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Being created using only a few documents, they contain batches of very similar molecules. For example in a patent, a molecule could typically be displayed together with all the substituent of one particular substructure, resulting in large batches of almost identical molecules.
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download_size: 291334748
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dataset_size: 411000126.0
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# USPTO-30K
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USPTO-30K is the benchmark dataset introduced in [MolGrapher: Graph-based Visual Recognition of Chemical Structures](https://github.com/DS4SD/MolGrapher).
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Existing benchmarks for Optical Chemical Structure Recognition have some limitations.
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Being created using only a few documents, they contain batches of very similar molecules. For example in a patent, a molecule could typically be displayed together with all the substituent of one particular substructure, resulting in large batches of almost identical molecules.
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