| --- |
| 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 |
| dataset_info: |
| - config_name: Adj |
| features: |
| - name: Lex1 |
| dtype: string |
| - name: Lex1_dediac |
| dtype: string |
| - name: POS1 |
| dtype: string |
| - name: POS1_ar |
| dtype: string |
| - name: POS1_en |
| dtype: string |
| - name: Gloss1 |
| dtype: string |
| - name: Lex2 |
| dtype: string |
| - name: Lex2_dediac |
| dtype: string |
| - name: POS2 |
| dtype: string |
| - name: POS2_ar |
| dtype: string |
| - name: POS2_en |
| dtype: string |
| - name: Gloss2 |
| dtype: string |
| - name: Set |
| dtype: string |
| - name: Split |
| dtype: string |
| - name: POS |
| dtype: string |
| - name: label |
| dtype: int64 |
| - name: Answer |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 740154 |
| num_examples: 3600 |
| - name: tune |
| num_bytes: 186564 |
| num_examples: 900 |
| - name: dev |
| num_bytes: 183138 |
| num_examples: 900 |
| - name: test |
| num_bytes: 364020 |
| num_examples: 1800 |
| download_size: 267925 |
| dataset_size: 1473876 |
| - config_name: All |
| features: |
| - name: Lex1 |
| dtype: string |
| - name: Lex1_dediac |
| dtype: string |
| - name: POS1 |
| dtype: string |
| - name: POS1_ar |
| dtype: string |
| - name: POS1_en |
| dtype: string |
| - name: Gloss1 |
| dtype: string |
| - name: Lex2 |
| dtype: string |
| - name: Lex2_dediac |
| dtype: string |
| - name: POS2 |
| dtype: string |
| - name: POS2_ar |
| dtype: string |
| - name: POS2_en |
| dtype: string |
| - name: Gloss2 |
| dtype: string |
| - name: Set |
| dtype: string |
| - name: Split |
| dtype: string |
| - name: POS |
| dtype: string |
| - name: label |
| dtype: int64 |
| - name: Answer |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 3756879 |
| num_examples: 18000 |
| - name: tune |
| num_bytes: 925906 |
| num_examples: 4500 |
| - name: dev |
| num_bytes: 930520 |
| num_examples: 4500 |
| - name: test |
| num_bytes: 1863762 |
| num_examples: 9000 |
| download_size: 1537188 |
| dataset_size: 7477067 |
| - config_name: Cross |
| features: |
| - name: Lex1 |
| dtype: string |
| - name: Lex1_dediac |
| dtype: string |
| - name: POS1 |
| dtype: string |
| - name: POS1_ar |
| dtype: string |
| - name: POS1_en |
| dtype: string |
| - name: Gloss1 |
| dtype: string |
| - name: Lex2 |
| dtype: string |
| - name: Lex2_dediac |
| dtype: string |
| - name: POS2 |
| dtype: string |
| - name: POS2_ar |
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| - name: POS2_en |
| dtype: string |
| - name: Gloss2 |
| dtype: string |
| - name: Set |
| dtype: string |
| - name: Split |
| dtype: string |
| - name: POS |
| dtype: string |
| - name: label |
| dtype: int64 |
| - name: Answer |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 761949 |
| num_examples: 3600 |
| - name: tune |
| num_bytes: 188066 |
| num_examples: 900 |
| - name: dev |
| num_bytes: 188184 |
| num_examples: 900 |
| - name: test |
| num_bytes: 377353 |
| num_examples: 1800 |
| download_size: 441611 |
| dataset_size: 1515552 |
| - config_name: Noun |
| features: |
| - name: Lex1 |
| dtype: string |
| - name: Lex1_dediac |
| dtype: string |
| - name: POS1 |
| dtype: string |
| - name: POS1_ar |
| dtype: string |
| - name: POS1_en |
| dtype: string |
| - name: Gloss1 |
| dtype: string |
| - name: Lex2 |
| dtype: string |
| - name: Lex2_dediac |
| dtype: string |
| - name: POS2 |
| dtype: string |
| - name: POS2_ar |
| dtype: string |
| - name: POS2_en |
| dtype: string |
| - name: Gloss2 |
| dtype: string |
| - name: Set |
| dtype: string |
| - name: Split |
| dtype: string |
| - name: POS |
| dtype: string |
| - name: label |
| dtype: int64 |
| - name: Answer |
| dtype: string |
| splits: |
| - name: train |
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| num_examples: 3600 |
| - name: tune |
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| num_examples: 900 |
| - name: dev |
| num_bytes: 175435 |
| num_examples: 900 |
| - name: test |
| num_bytes: 357289 |
| num_examples: 1800 |
| download_size: 276699 |
| dataset_size: 1432515 |
| - config_name: Prop |
| features: |
| - name: Lex1 |
| dtype: string |
| - name: Lex1_dediac |
| dtype: string |
| - name: POS1 |
| dtype: string |
| - name: POS1_ar |
| dtype: string |
| - name: POS1_en |
| dtype: string |
| - name: Gloss1 |
| dtype: string |
| - name: Lex2 |
| dtype: string |
| - name: Lex2_dediac |
| dtype: string |
| - name: POS2 |
| dtype: string |
| - name: POS2_ar |
| dtype: string |
| - name: POS2_en |
| dtype: string |
| - name: Gloss2 |
| dtype: string |
| - name: Set |
| dtype: string |
| - name: Split |
| dtype: string |
| - name: POS |
| dtype: string |
| - name: label |
| dtype: int64 |
| - name: Answer |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 808745 |
| num_examples: 3600 |
| - name: tune |
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| num_examples: 900 |
| - name: dev |
| num_bytes: 204349 |
| num_examples: 900 |
| - name: test |
| num_bytes: 404958 |
| num_examples: 1800 |
| download_size: 242186 |
| dataset_size: 1619575 |
| - config_name: Verb |
| features: |
| - name: Lex1 |
| dtype: string |
| - name: Lex1_dediac |
| dtype: string |
| - name: POS1 |
| dtype: string |
| - name: POS1_ar |
| dtype: string |
| - name: POS1_en |
| dtype: string |
| - name: Gloss1 |
| dtype: string |
| - name: Lex2 |
| dtype: string |
| - name: Lex2_dediac |
| dtype: string |
| - name: POS2 |
| dtype: string |
| - name: POS2_ar |
| dtype: string |
| - name: POS2_en |
| dtype: string |
| - name: Gloss2 |
| dtype: string |
| - name: Set |
| dtype: string |
| - name: Split |
| dtype: string |
| - name: POS |
| dtype: string |
| - name: label |
| dtype: int64 |
| - name: Answer |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 718730 |
| num_examples: 3600 |
| - name: tune |
| num_bytes: 177263 |
| num_examples: 900 |
| - name: dev |
| num_bytes: 179414 |
| num_examples: 900 |
| - name: test |
| num_bytes: 360142 |
| num_examples: 1800 |
| download_size: 265862 |
| dataset_size: 1435549 |
| configs: |
| - config_name: Adj |
| data_files: |
| - split: train |
| path: Adj/train-* |
| - split: tune |
| path: Adj/tune-* |
| - split: dev |
| path: Adj/dev-* |
| - split: test |
| path: Adj/test-* |
| - config_name: All |
| data_files: |
| - split: train |
| path: All/train-* |
| - split: tune |
| path: All/tune-* |
| - split: dev |
| path: All/dev-* |
| - split: test |
| path: All/test-* |
| - config_name: Cross |
| data_files: |
| - split: train |
| path: Cross/train-* |
| - split: tune |
| path: Cross/tune-* |
| - split: dev |
| path: Cross/dev-* |
| - split: test |
| path: Cross/test-* |
| - config_name: Noun |
| data_files: |
| - split: train |
| path: Noun/train-* |
| - split: tune |
| path: Noun/tune-* |
| - split: dev |
| path: Noun/dev-* |
| - split: test |
| path: Noun/test-* |
| - config_name: Prop |
| data_files: |
| - split: train |
| path: Prop/train-* |
| - split: tune |
| path: Prop/tune-* |
| - split: dev |
| path: Prop/dev-* |
| - split: test |
| path: Prop/test-* |
| - config_name: Verb |
| data_files: |
| - split: train |
| path: Verb/train-* |
| - split: tune |
| path: Verb/tune-* |
| - split: dev |
| path: Verb/dev-* |
| - split: test |
| path: Verb/test-* |
| license: cc-by-sa-4.0 |
| language: |
| - ar |
| pretty_name: BAREC-LexBench |
| size_categories: |
| - 10K<n<100K |
| --- |
| |
| # BAREC-LexBench |
|
|
| ## Benchmark Summary |
|
|
| **BAREC-LexBench** is a benchmark for Arabic lemma-level readability assessment, designed to evaluate readability lexicons and computational models independently of their granularity levels. |
| It is built through a large-scale pairwise comparison task, where annotators determine which of two Arabic lemmas is easier to read and understand. |
| It consists of 36K annotated pairs covering open-class lemmas from four parts-of-speech: adjectives, nouns, proper nouns, and verbs. |
|
|
| --- |
|
|
| ## Languages |
|
|
| - **Arabic** (Modern Standard Arabic) |
|
|
| --- |
|
|
| ## Dataset Structure |
|
|
| BAREC-LexBench compares lemmas across: |
| - Four same-POS categories: adjectives, nouns, verbs, and proper nouns. |
| - One corss-POS category: compares lemmas from different parts-of-speech. |
|
|
| This dataset consists of **6 subsets**: Adj (7.2K pairs), Noun (7.2K pairs), Verb (7.2K pairs), Prop (7.2K pairs), Cross (7.2K pairs), and All (36K pairs). |
| Each subsets has four splits: *train* (50%), *tune* (12.5%), *dev* (12.5%), and *test* (25%). |
|
|
|
|
| ### Data Instances |
|
|
| `{'Lex1': 'داخِل', 'Lex1_dediac': 'داخل', 'POS1': 'adj', 'POS1_ar': 'صفة', 'POS1_en': 'adjective', 'Gloss1': 'entering', 'Lex2': 'فُوسْفُورِيّ', 'Lex2_dediac': 'فوسفوري', 'POS2': 'adj', 'POS2_ar': 'صفة', 'POS2_en': 'adjective', 'Gloss2': 'phosphorous', 'Set': 'Set1', 'Split': 'Train', 'POS': 'adj', 'label': '1', 'Answer': 'A'}` |
|
|
| ### Data Fields |
|
|
| - **Lex1**: The first lemma, with diacritics. |
| - **Lex1_dediac**: The first lemma without diacritics. |
| - **POS1**: Part of speech of the first lemma. |
| - **POS1_ar**: Part of speech of the first lemma in Arabic. |
| - **POS1_en**: Part of speech of the first lemma in English. |
| - **Gloss1**: English gloss of the first lemma. |
| - **Lex2**: The second Arabic lemma, with diacritics. |
| - **Lex2_dediac**: The second lemma without diacritics. |
| - **POS2**: Part of speech of the second lemma. |
| - **POS2_ar**: Part of speech of the second lemma in Arabic. |
| - **POS2_en**: Part of speech of the second lemma in English. |
| - **Gloss2**: English gloss of the second lemma. |
| - **Set**: Dataset subset identifier (`Set1`, ..., `Set8`). |
| - **Split**: Dataset split (`Train`, `Tune`, `Dev`, or `Test`). |
| - **POS**: Part of speech category for the two lemmas being compared (`adj`, `noun`, `verb`, `noun_prop`, or `cross`). |
| - **label**: Label indicating which lemma is easier to read (`1`, `2`, or `0` if equal). |
| - **Answer**: One-to-one mapping from label (`{'1': 'A', '2': 'B', '0':'C'}`). |
|
|
| --- |
|
|
| ## 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" |
| } |
| ``` |
