Some tasks are inferred based on the benchmarks list.
The benchmarks section lists all benchmarks using a given dataset or any of its variants. We use variants to distinguish between results evaluated on slightly different versions of the same dataset. For example, ImageNet 32⨉32 and ImageNet 64⨉64 are variants of the ImageNet dataset.
The dataset used to pre-train NuNER from the NuNER: Entity Recognition Encoder Pre-training via LLM-Annotated Data
Contains AI-extracted entities, their concepts, and descriptions from the given text