7 datasets found

The dataset used in the paper is the Multitask Language Understanding (MMLU) dataset, which consists of 57 tasks from Science, Technology, Engineering, and Math (STEM),...

Multimodal, Multitask Retrieval Across Languages (MURAL) dataset is used for training and evaluation of the MURAL model.

A driving dataset for heterogeneous multitask learning.

The Sparse Diffusion Policy (SDP) framework, which integrates Mixture of Experts (MoE) layers into the diffusion policy.

The authors constructed the Japanese Massive Multitask Language Understanding Benchmark (JMMLU) by translating MMLU and adding tasks related to Japanese culture.

The BDD100k dataset is a large-scale driving dataset containing 100,000 images of various weather conditions, including clear, rainy, foggy, and night-time.

COVID-19 CT dataset for automated diagnosis and severity assessment of COVID-19