8 datasets found

A dataset for expository writing tasks, including summarization, expert writing, and augmented writing.

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.

This paper uses SummEval and Topical-Chat datasets for evaluating the quality of summaries and responses.

Abstractive summarization of text document in Malayalam language: Enhancing attention model using POS tagging feature.

The dataset used in the paper is a collection of summaries of longer texts, with human evaluators' ratings of existing summaries.

The dataset used in the paper is a collection of summaries of longer texts, with human evaluators' ratings of existing summaries.

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...

The dataset used in the paper is the Anthropic's HH-RLHF and OpenAI's summarization datasets.