| --- |
| gated: "auto" |
| extra_gated_fields: |
| Email: text |
| First Name: text |
| Last Name: text |
| Affiliation: text |
| What do you plan to use this resource for?: text |
| I agree to use the data in accordance with the license specified in the dataset card: checkbox |
| license: cc-by-sa-4.0 |
| language: |
| - ar |
| pretty_name: BAREC-LexRank |
| size_categories: |
| - 10K<n<100K |
| --- |
| |
| # BAREC-LexRank: A Ranked Arabic Readability Lexicon |
|
|
| ## Summary |
|
|
| **BAREC-LexRank** is a ranked readability lexicon of 40K Arabic open-class lemmas (adjectives, nouns, proper nouns, and verbs), |
| ordered from easiest to hardest to read and understand. |
| Instead of assigning lemmas to a small number of coarse levels, it provides a continuous ordering that captures fine-grained readability differences between lemmas. |
|
|
| The lexicon was built using [BAREC-LexBench](https://huggingface.co/datasets/CAMeL-Lab/BAREC-LexBench), a benchmark of 36K expert-annotated lemma pairs, |
| and is released together with two variants: |
|
|
| | Config | Coverage | Ordering | |
| |---|---|---| |
| | `lexrank` (default) | Open-class lemmas | Fully model-ranked | |
| | `lexcomplete` | All lemmas, open- and closed-class | Fully model-ranked | |
| | `lexsamer` | Open-class lemmas | [SAMER level](https://aclanthology.org/2020.lrec-1.373/) order preserved; ranking only within each SAMER level | |
|
|
| --- |
|
|
| ## Languages |
|
|
| - **Arabic** (Modern Standard Arabic) |
|
|
| --- |
|
|
| ## Structure |
|
|
| The structure of this repository is as follows: |
| ``` |
| . |
| ├── Data/ |
| │ ├── BAREC-LexRank.xlsx |
| │ ├── BAREC-LexComplete.xlsx |
| │ ├── BAREC-LexSAMER.xlsx |
| └── README.md |
| ``` |
|
|
| ### Metadata |
|
|
| Each file contains the following fields: |
|
|
| - **Sort ID**: Unique lemma identifier reflecting its rank (lower is easer). |
| - **Lex**: The lemma, with diacritics. |
| - **POS**: The part of speech of the lemma. |
|
|
| All Lex-POS pairs match the [SAMA S31 analyzer](https://catalog.ldc.upenn.edu/LDC2010L01). |
|
|
| --- |
|
|
| ## Usage |
|
|
| You can download the files manually using the Hub’s user interface, or use `snapshot_download` to download all files at once. |
| ```python |
| from huggingface_hub import snapshot_download |
| |
| snapshot_download( |
| repo_id="CAMeL-Lab/BAREC-LexRank", |
| repo_type="dataset", |
| local_dir="path/to/local/dir", |
| allow_patterns=["Data/*"] |
| ) |
| ``` |
|
|
| --- |
|
|
| ## Citation |
|
|
| If you use BAREC-LexBench in your work, please cite the following paper: |
|
|
| ``` |
| @inproceedings{elmadani-etal-2026-barec-lex, |
| title = "A Benchmark for Arabic Lemma-Level Readability Assessment", |
| author = "Elmadani, Khalid N. and Saeed, Mostafa and Taha-Thomure, Hanada and Habash, Nizar", |
| booktitle = "Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing", |
| month = oct, |
| year = "2026", |
| address = "Budapest, Hungary", |
| publisher = "Association for Computational Linguistics" |
| } |
| ``` |
|
|
