Datasets:
Tasks:
Text Classification
Formats:
csv
Languages:
Arabic
Size:
10K - 100K
Tags:
readability
License:
Update README.md
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README.md
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@@ -40,33 +40,7 @@ For details on the shared task, evaluation setup, and leaderboards, visit the [S
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---
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##
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You can load the dataset using Hugging Face Datasets by specifying the appropriate `data_files`.
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### Sentence-level dataset
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```python
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data_files={"train": "Sent_Train.csv", "dev": "Sent_Dev.csv", "test": "Sent_Test.csv"}
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barec = load_dataset("CAMeL-Lab/BAREC-Shared-Task-2025", data_files=data_files, token=token)
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barec_train = barec["train"]
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barec_dev = barec["dev"]
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barec_test = barec["test"]
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```
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### Document-level dataset
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```python
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data_files={"train": "Doc_Train.csv", "dev": "Doc_Dev.csv", "test": "Doc_Test.csv"}
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barec = load_dataset("CAMeL-Lab/BAREC-Shared-Task-2025", data_files=data_files, token=token)
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barec_train = barec["train"]
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barec_dev = barec["dev"]
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barec_test = barec["test"]
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```
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---
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## Dataset Structure (Sentence-level)
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### Data Instances
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- **Domain**: Domain (`Arts & Humanities`, `STEM` or `Social Sciences`).
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- **Text_Class**: Readership group (`Foundational`, `Advanced` or `Specialized`).
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## Dataset Structure (Document-level)
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### Data Instances
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`{'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'}`
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### Data Fields
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- **ID**: Unique document identifier.
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- **Document**: Document file name.
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- **Sentences**: Full text of the document.
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- **Sentence_Count**: Number of sentences.
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- **Word_Count**: Total word count.
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- **Readability_Level**: The readability level in `19-levels` scheme, ranging from `1-alif` to `19-qaf`.
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- **Readability_Level_19**: The readability level in `19-levels` scheme, ranging from `1` to `19`.
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- **Readability_Level_7**: The readability level in `7-levels` scheme, ranging from `1` to `7`.
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- **Readability_Level_5**: The readability level in `5-levels` scheme, ranging from `1` to `5`.
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- **Readability_Level_3**: The readability level in `3-levels` scheme, ranging from `1` to `3`.
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- **Source**: Document source.
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- **Book**: Book name.
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- **Author**: Author name.
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- **Domain**: Domain (`Arts & Humanities`, `STEM` or `Social Sciences`).
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- **Text_Class**: Readership group (`Foundational`, `Advanced` or `Specialized`).
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---
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## Data Splits
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- The BAREC dataset has three splits: *Train* (80%), *Dev* (10%), and *Test* (10%).
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- The splits are in the document level.
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---
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## Dataset Structure
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### Data Instances
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- **Domain**: Domain (`Arts & Humanities`, `STEM` or `Social Sciences`).
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- **Text_Class**: Readership group (`Foundational`, `Advanced` or `Specialized`).
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### Data Splits
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- The BAREC dataset has three splits: *Train* (80%), *Dev* (10%), and *Test* (10%).
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- The splits are in the document level.
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