A collection of benchmarks for evaluating the quality of OCSR models.
🤝 Open to Collab
Hunter Heidenreich
hheiden
AI & ML interests
LLMs and VLMs, OCR and Grounding. AI for Science. Chemical Language Models.
Recent Activity
liked a Space 4 days ago
hheiden/smiles-subword-vocabularies authored a paper 5 days ago
Where to cut, how deep: BPE and Unigram-LM on chemistry SMILES updated a Space 5 days ago
hheiden/smiles-subword-vocabulariesOrganizations
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models 0
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datasets 9
hheiden/mini-proteins-bench
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hheiden/PubChem-124M-SMILES-SELFIES-InChI-IUPAC
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hheiden/CLEF_OCSR_benchmark
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hheiden/Colored_Background_OCSR_benchmark
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hheiden/JPO_OCSR_benchmark
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hheiden/USPTO_OCSR_benchmark
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hheiden/UOB_OCSR_benchmark
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hheiden/us-congress-bill-policy-115_117
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hheiden/us-congress-117-bills
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