-
Expository Writing Dataset
A dataset for expository writing tasks, including summarization, expert writing, and augmented writing. -
Learning to summarize with human feedback
The paper presents a study on the impact of synthetic data on large language models (LLMs) and proposes a method to steer LLMs towards desirable non-differentiable attributes. -
SummEval and Topical-Chat
This paper uses SummEval and Topical-Chat datasets for evaluating the quality of summaries and responses. -
Abstractive Summarization
Abstractive summarization of text document in Malayalam language: Enhancing attention model using POS tagging feature. -
Multi-XScience
The dataset used in the paper is a collection of summaries of longer texts, with human evaluators' ratings of existing summaries. -
Unified Multi-scenario Summarization Evaluation Model
UMSE is a unified multi-scenario summarization evaluation framework that can perform semantic evaluation on three typical evaluation scenarios: Sum-Ref, Sum-Doc, and Sum-Doc-Ref... -
Anthropic's HH-RLHF and OpenAI's summarization datasets
The dataset used in the paper is the Anthropic's HH-RLHF and OpenAI's summarization datasets.
