Omkar2118/datasets huggingface dataset:
ACES
Full name: A Translation Accuracy Challenge Set

**ACES** a dataset consisting of 68 phenomena ranging from simple perturbations at the word/character level to more complex errors based on discourse and real-world knowledge. It can be used to evaluate a wide range of Machine Translation metrics.

Introducing paper: ACES: Translation Accuracy Challenge Sets for Evaluating Machine Translation Metrics
Florence 4D

**Florence 4D** is a dataset that consists of dynamic sequences of 3D face models, where a combination of synthetic and real identities exhibit an unprecedented variety of 4D facial expressions, with variations that include the classical neutral-apex transition, but generalize to expression-to-expression. It is designed for research in 4D facial analysis, with a particular focus on dynamic expressions.

Introducing paper: The Florence 4D Facial Expression Dataset