This repository contains InstrEditBench, a high-quality benchmark dataset introduced in the paper Bridging the Editing Gap in LLMs: FineEdit for Precise and Targeted Text Modifications accpeted by EMNLP 2025
Large Language Models (LLMs) have significantly advanced natural language processing,
demonstrating strong capabilities in tasks such
as text generation, summarization, and reasoning. Recently, their potential… See the full description on the dataset page:
https://huggingface.co/datasets/YimingZeng/FineEdit_bench.
