Medical Abstracts (Medical Abstracts Text Classification Dataset)
Introduced by Schopf et al. in Evaluating Unsupervised Text Classification: Zero-shot and Similarity-based Approaches
The Medical Abstracts dataset contains 14,438 medical abstracts describing 5 different classes of patient conditions, with all of the dataset being annotated. The dataset is split into training and test sets.
Benchmarks
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
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Medical Abstracts
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Lbl2TransformerVec
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Papers
| Paper | Code | Results | Date | Stars |
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