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.
WanJuan is a large-scale training corpus that includes multiple modalities. The dataset incorporates text, image-text, and video modalities, with a total volume exceeding 2TB.