Omkar2118/datasets huggingface dataset:
MultiBench

MultiBench, a systematic and unified large-scale benchmark for multimodal learning spanning 15 datasets, 10 modalities, 20 prediction tasks, and 6 research areas. MultiBench provides an automated end-to-end machine learning pipeline that simplifies and standardizes data loading, experimental setup, and model evaluation. To enable holistic evaluation, MultiBench offers evaluation methodology to study (1) generalization, (2) time and space complexity, and (3) modality robustness.

Introducing paper: MultiBench: Multiscale Benchmarks for Multimodal Representation Learning
CARLE
Full name: Cellular Automata Reinforcement Learning Environment

**CARLE** is a life-like cellular automata simulator and reinforcement learning environment. CARLE is flexible, capable of simulating any of the 262,144 different rules defining Life-like cellular automaton universes. CARLE is also fast and can simulate automata universes at a rate of tens of thousands of steps per second through a combination of vectorization and GPU acceleration. Finally, CARLE is simple. Compared to high-fidelity physics simulators and video games designed for human players, CARLE's two-dimensional grid world offers a discrete, deterministic, and atomic universal playground, despite its complexity.

Introducing paper: Carle's Game: An Open-Ended Challenge in Exploratory Machine Creativity
Forms Dataset

The **Forms Dataset** is a dataset for document structure extraction comprising of 5K forms.

Introducing paper: Multi-Modal Association based Grouping for Form Structure Extraction