-
Situated Instruction Following
Situated Instruction Following (SIF) dataset, a new dataset to evaluate situated and holistic understanding of language instructions. -
Stanford Alpaca: An instruction-following LLaMA model
An instruction-following LLaMA model. -
ShiftT: Simulation-to-Human Instruction Following via Transfer from Text
The dataset used in the paper is a collection of natural human instructions for a 3D room containing everyday objects. The instructions are used to train an agent to follow... -
Alpaca Eval 2
The dataset used in the paper is Alpaca Eval 2, which is an automated metric that measures LLMs' alignment with human preferences. -
Mixtral of Experts
The dataset used in the paper for instruction following task -
Llama 2-7B-80k
The dataset used in the paper for instruction following task -
Mistral 7b
The dataset used in the paper for instruction following task -
AlpacaEval 2.0
The dataset used in the paper for instruction following task -
DEPS Dataset
The Describe, Explain, Plan and Select (DEPS) dataset is a collection of instruction-following tasks, focusing on describing, explaining, planning, and selecting actions. -
Goal Drift Dataset
The Goal Drift Dataset is a collection of triplets (current observation, goal imagination, instruction) from the OpenAI Contractor Gameplay Dataset, used to train the Imaginator. -
Alpaca-52K
The Alpaca-52K instruction-following dataset is a large-scale dataset containing instruction-following tasks. -
Stanford Alpaca
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used CIFAR-10 and CIFAR-100 datasets for image classification, and ImageNet-100... -
AlpacaFarm
The AlpacaFarm dataset is a large-scale dataset for preference optimization, which consists of a set of instructions and their corresponding responses.
