Datasets:

sboughorbel
/

arabic-web-edu-seed

language:
  - ar
license: apache-2.0
size_categories:
  - 1K<n<10K
task_categories:
  - text-generation
  - text-classification
pretty_name: Arabic Web Educational Seed Dataset
tags:
  - arabic
  - education
  - web-content
  - quality-scoring
  - educational-content
dataset_info:
  features:
    - name: text
      dtype: string
    - name: qwen2_5_72b_inst_score
      dtype: int64
    - name: prompt
      dtype: string
    - name: completion
      dtype: string
  splits:
    - name: train
      num_examples: XXXX
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*

Arabic Web Educational Seed Dataset

Dataset Description

This dataset contains Arabic web content that has been scored for educational value. It is designed for training language models on educational content in Arabic.

The dataset includes web extracts from various Arabic sources (Common Crawl) that have been evaluated using an additive 5-point scoring system for educational value.

How to Load the Dataset

Basic Loading

from datasets import load_dataset

# Load the full dataset
dataset = load_dataset("sboughorbel/arabic-web-edu-seed")

# Access the data
print(dataset['train'][0])

Load Specific Split

from datasets import load_dataset

# Load only the train split
dataset = load_dataset("sboughorbel/arabic-web-edu-seed", split="train")

Filter by Educational Score

from datasets import load_dataset

dataset = load_dataset("sboughorbel/arabic-web-edu-seed")

# Filter high-quality educational content (score >= 3)
high_quality = dataset['train'].filter(
    lambda x: x['qwen2_5_72b_inst_score'] >= 3
)

print(f"High quality examples: {len(high_quality)}")

Load Only Specific Fields

from datasets import load_dataset

dataset = load_dataset("sboughorbel/arabic-web-edu-seed")

# Keep only specific columns
clean_dataset = dataset['train'].select_columns([
    'text', 
    'qwen2_5_72b_inst_score',
    'url'
])

Stream Large Dataset

from datasets import load_dataset

# Stream the dataset without downloading everything
dataset = load_dataset("sboughorbel/arabic-web-edu-seed", streaming=True)

# Iterate through examples
for example in dataset['train']:
    print(example['text'])
    break

Dataset Fields

text: The Arabic text content
qwen2_5_72b_inst_score: Educational quality score (0-5)
prompt: The evaluation prompt used (optional)
completion: The evaluation explanation (optional)

Educational Score Scale

The qwen2_5_72b_inst_score ranges from 0 to 5:

0: No educational value
1: Basic information with non-academic content
2: Some educational elements, not aligned with standards
3: Appropriate for education, introduces key concepts
4: Highly relevant for grade school education
5: Outstanding educational value

Citation

If you use this dataset in your research, please cite:

@dataset{arabic_web_edu_seed_2024,
  author = {Majd Hawasly, Tasnim Mohiuddin, Hamdy Mubarak, Sabri Boughorbel},
  title = {ArabicWeb-Edu: Educational Quality Data for Arabic LLM Training},
  year = {2025},
  publisher = {Hugging Face},
  howpublished = {\url{https://huggingface.co/datasets/sboughorbel/arabic-web-edu-seed}}
}

License

[Please specify your license]

Contact

For questions or issues, please contact through the Hugging Face dataset repository.