CAMeL-Lab/BAREC-Shared-Task-2026-doc

BAREC（平衡阿拉伯语可读性评估语料库）是一个大规模数据集，专为BAREC Shared Task 2026开发，专注于细粒度阿拉伯语可读性评估。该数据集包含超过100万单词，标注了19个可读性级别，并额外映射到更粗粒度的7、5和3级别方案。数据集在句子级别进行标注，文档级别的可读性得分通过为每个文档分配其最困难句子的可读性级别（基于19级别方案）来获得，从而提供句子级别和文档级别的可读性信息。

BAREC (the Balanced Arabic Readability Evaluation Corpus) is a large-scale dataset developed for the BAREC Shared Task 2026, focused on fine-grained Arabic readability assessment. The dataset includes over 1M words, annotated across 19 readability levels, with additional mappings to coarser 7, 5, and 3 level schemes. The dataset is annotated at the sentence level. Document-level readability scores are derived by assigning each document the readability level of its most difficult sentence, based on the 19-level scheme. This provides both sentence-level and document-level readability information.