Datasets › Chem-FINESE
Chem-FINESE
The dataset contains two few-shot chemical fine-grained entity extraction datasets, based on human-annotated ChemNER+ and CHEMET. For each dataset, we randomly sample a subset based on the frequency of each type class. Specifically, given a dataset, we first set the number of maximum entity mentions k for the most frequent entity type in the dataset. We then randomly sample other types and ensure that the distribution of each type remains the same as in the original dataset. We choose the values $6, 9, 12, 15, 18$ as the potential maximum entity mentions for k. The ChemNER+ and CHEMET few-shot datasets contain 52 and 28 types respectively.
Benchmarks archive 2025-07-28
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Papers archive 2025-07-28
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Dataset loaders archive 2025-07-28
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Tasks archive 2025-07-28
License archive 2025-07-28
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Modalities archive 2025-07-28
Languages archive 2025-07-28
Variants archive 2025-07-28
- Chem-FINESE
1 variant name, as the archive lists them.
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