Omkar2118/datasets huggingface dataset:
FEAFA+

**FEAFA+** is a dataset for Facial expression analysis and 3D Facial animation. It includes 150 video sequences from FEAFA and [DISFA](disfa), with a total of 230,184 frames being manually annotated on floating-point intensity value of 24 redefined AUs using the Expression Quantitative Tool.

Introducing paper: FEAFA+: An Extended Well-Annotated Dataset for Facial Expression Analysis and 3D Facial Animation
GO21

GO21 is a biomedical knowledge graph that models genes, proteins, drugs, and the hierarchy of the biological processes they participate in. It consists of 806,136 triples with 21 relations and 89127 entities. GO21 can be used for knowledge graph completion tasks (link prediction) as well as hierarchical reasoning tasks, such as ancestor-descendant prediction task proposed in the paper.

Introducing paper: Modeling Heterogeneous Hierarchies with Relation-specific Hyperbolic Cones
CLUES
Full name: Constrained Language Understanding Evaluation Standard

CLUES (Constrained Language Understanding Evaluation Standard) is a benchmark for evaluating the few-shot learning capabilities of NLU models.

Introducing paper: CLUES: Few-Shot Learning Evaluation in Natural Language Understanding