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

BAREC（平衡阿拉伯语可读性评估语料库）是一个为BAREC Shared Task 2026开发的大规模数据集，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，并额外映射到更粗的7、5和3级方案。数据在句子级别进行标注，文档级别的可读性得分基于19级方案中最难句子的级别派生，从而提供句子级和文档级的可读性信息。

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.