Datasets:
Tasks:
Text Classification
Formats:
csv
Languages:
Arabic
Size:
10K - 100K
Tags:
readability
License:
Update README.md
Browse files
README.md
CHANGED
|
@@ -8,4 +8,74 @@ tags:
|
|
| 8 |
- readability
|
| 9 |
size_categories:
|
| 10 |
- 10K<n<100K
|
| 11 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 8 |
- readability
|
| 9 |
size_categories:
|
| 10 |
- 10K<n<100K
|
| 11 |
+
pretty_name: 'BAREC 2025: Readability Assessment Shared Task'
|
| 12 |
+
---
|
| 13 |
+
|
| 14 |
+
# Dataset Card for BAREC Shared Task 2025
|
| 15 |
+
|
| 16 |
+
## Dataset Summary
|
| 17 |
+
|
| 18 |
+
The BAREC Shared Task 2025 focuses on fine-grained readability classification across 19 levels using the Balanced Arabic Readability Evaluation Corpus (BAREC), a dataset of over 1 million words.
|
| 19 |
+
|
| 20 |
+
### Supported Tasks and Leaderboards
|
| 21 |
+
|
| 22 |
+
The dataset can be used to train a model for readability assessment in 19, 7, 5, or 3 levels, which is a **multi-class text classification** task.
|
| 23 |
+
Please checkout the [Shared Task website] for details on the sub-tasks and leaderboards.
|
| 24 |
+
|
| 25 |
+
### Languages
|
| 26 |
+
|
| 27 |
+
The BAREC dataset contains texts in Arabic language only.
|
| 28 |
+
|
| 29 |
+
## Dataset Structure (Sentence-level)
|
| 30 |
+
|
| 31 |
+
### Data Instances
|
| 32 |
+
|
| 33 |
+
`{'ID': 10100010008, 'Sentence': 'عيد سعيد', 'Word_Count': 2, 'Readability_Level': '2-ba', 'Readability_Level_19': 2, 'Readability_Level_7': 1, 'Readability_Level_5': 1, 'Readability_Level_3': 1, 'Annotator': 'A4', 'Document': 'BAREC_Majed_0229_1983_001.txt', 'Source': 'Majed', 'Book': 'Edition: 229', 'Author': '#', 'Domain': 'Arts & Humanities', 'Text_Class': 'Foundational'}`
|
| 34 |
+
|
| 35 |
+
### Data Fields
|
| 36 |
+
|
| 37 |
+
- **ID**: Sentence ID.
|
| 38 |
+
- **Sentence**: Sentence text.
|
| 39 |
+
- **Word_Count**: Number of words in the sentence.
|
| 40 |
+
- **Readability_Level**: The readability level in `19-levels` scheme, ranging from `1-alif` to `19-qaf`.
|
| 41 |
+
- **Readability_Level_19**: The readability level in `19-levels` scheme, ranging from `1` to `19`.
|
| 42 |
+
- **Readability_Level_7**: The readability level in `7-levels` scheme, ranging from `1` to `7`.
|
| 43 |
+
- **Readability_Level_5**: The readability level in `5-levels` scheme, ranging from `1` to `5`.
|
| 44 |
+
- **Readability_Level_3**: The readability level in `3-levels` scheme, ranging from `1` to `3`.
|
| 45 |
+
- **Annotator**: The annotator (it could be one of the five annotators `A1-A5` or Inter-Annotator Agreement `IAA`).
|
| 46 |
+
- **Document**: The document where the sentence came from.
|
| 47 |
+
- **Source**: The resource where the document came from.
|
| 48 |
+
- **Book**: The book where the document came from.
|
| 49 |
+
- **Author**: The Author of the document.
|
| 50 |
+
- **Domain**: The domain of the document (it could be `Arts & Humanities`, `STEM` or `Social Sciences`).
|
| 51 |
+
- **Text_Class**: The readership group (it could be `Foundational`, `Advanced` or `Specialized`).
|
| 52 |
+
|
| 53 |
+
## Dataset Structure (Document-level)
|
| 54 |
+
|
| 55 |
+
### Data Instances
|
| 56 |
+
|
| 57 |
+
`{'ID': 1010219, 'Document': 'BAREC_Majed_1481_2007_038.txt', 'Sentences': '"موزة الحبوبة وشقيقها رشود\nآيس كريم بالكريمة..\nأم كريمة بالآيس كريم؟!"', 'Sentence_Count': 3, 'Word_Count': 15, 'Readability_Level': '8-Ha', 'Readability_Level_19': 8, 'Readability_Level_7': 3, 'Readability_Level_5': 2, 'Readability_Level_3': 1, 'Source': 'Majed', 'Book': 'Edition: 1481', 'Author': '#', 'Domain': 'Arts & Humanities', 'Text_Class': 'Foundational'}`
|
| 58 |
+
|
| 59 |
+
### Data Fields
|
| 60 |
+
|
| 61 |
+
- **ID**: Document ID.
|
| 62 |
+
- **Document**: The document.
|
| 63 |
+
- **Sentences**: All sentences in the document.
|
| 64 |
+
- **Sentence_Count**: Number of sentences in the document.
|
| 65 |
+
- **Word_Count**: Number of words in the document.
|
| 66 |
+
- **Readability_Level**: The readability level in `19-levels` scheme, ranging from `1-alif` to `19-qaf`.
|
| 67 |
+
- **Readability_Level_19**: The readability level in `19-levels` scheme, ranging from `1` to `19`.
|
| 68 |
+
- **Readability_Level_7**: The readability level in `7-levels` scheme, ranging from `1` to `7`.
|
| 69 |
+
- **Readability_Level_5**: The readability level in `5-levels` scheme, ranging from `1` to `5`.
|
| 70 |
+
- **Readability_Level_3**: The readability level in `3-levels` scheme, ranging from `1` to `3`.
|
| 71 |
+
- **Source**: The resource where the document came from.
|
| 72 |
+
- **Book**: The book where the document came from.
|
| 73 |
+
- **Author**: The Author of the document.
|
| 74 |
+
- **Domain**: The domain of the document (it could be `Arts & Humanities`, `STEM` or `Social Sciences`).
|
| 75 |
+
- **Text_Class**: The readership group (it could be `Foundational`, `Advanced` or `Specialized`).
|
| 76 |
+
|
| 77 |
+
## Data Splits
|
| 78 |
+
|
| 79 |
+
The BAREC dataset has three splits: *Train* (80%), *Dev* (10%), and *Test* (10%).
|
| 80 |
+
The splits are in the document level.
|
| 81 |
+
The splits are balanced accross *Readability Levels*, *Domains*, and *Text Classes*.
|