CAMeL-Lab/BAREC-Corpus-v1.0
BAREC Corpus v1.0 Dataset Summary BAREC (the Balanced Arabic Readability Evaluation Corpus) is a large-scale dataset for fine-grained Arabic readability assessment. The dataset includes over 1M words, annotated at the sentence level across 19 readability levels, with additional mappings to coarser 7, 5, and 3 level schemes. Supported Tasks The dataset supports multi-class readability classification in the following formats: 19 levels (default) 7… See the full description on the dataset page: https://huggingface.co/datasets/CAMeL-Lab/BAREC-Corpus-v1.0.
| Author / organization | CAMeL-Lab |
|---|---|
| License (as declared) | cc-by-sa-4.0 |
| Downloads | 168 (as reported by Hugging Face) |
| Likes | 2 |
| Created | 7 July 2025 |
| Last updated at source | 2 September 2025 |
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- 16 Oct 2026 Description: BAREC Corpus v1.0 Dataset Summary BAREC (the Balanced Arabic Readability Evaluation Corpus) is a large-scale dataset for fine-grained Arabic readability assessment. The dataset includes over 1M words, annotated at the sentence level across → BAREC Corpus v1.0 Dataset Summary BAREC (the Balanced Arabic Readability Evaluation Corpus) is a large-scale dataset for fine-grained Arabic readability assessment. The dataset includes over 1M words, annotated at the sentence level across
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