opendatalab/Meta-rater-PRRC-Rater-dataset
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资源简介：
PRRC评分模型训练与评估数据集包含用于训练和评估PRRC评分模型的完整训练和评估数据。该数据集针对四个关键质量维度：专业性、可读性、推理性和清洁性进行了注释，适用于监督训练PRRC评分模型（如ModernBERT模型）、基准测试和评估文本质量评分者、提示工程和注释质量的研究。
The PRRC Rater Training and Evaluation Dataset contains the full training and evaluation data for PRRC rater models. It is annotated for four key quality dimensions: Professionalism, Readability, Reasoning, and Cleanliness, and is suitable for supervised training of PRRC rater models (e.g., ModernBERT), benchmarking and evaluation of text quality raters, prompt engineering, and research on data-centric LLMs.
提供机构：
opendatalab
