데이터셋 탐색

The MFH dataset is a multi-viewpoint fine-grained hand hygiene dataset. It contains 73,1147 samples in total, which are collected by 6 camera views in 6 different locations. All samples are split into 7 classes in total. MFH dataset is distinguished from existing datasets in three aspects: the large intra-class difference, the subtle inter-class difference, and the data mismatch in distribution between the training phase and the inference phase. This dataset thus provides a more realistic benchmark.

AraCOVID19-MFH is a manually annotated multi-label Arabic COVID-19 fake news and hate speech detection dataset. The dataset contains 10,828 Arabic tweets annotated with 10 different labels.