riotu-lab/MURAD

A Large-Scale Multi-Domain Unified Reverse Arabic Dictionary Dataset

Authors: Serry Sibaee, Yasser Alhabashi, Nadia Sibai, Yara Farouk, Adel Ammar, Sawsan AlHalawani, Wadii Boulila

Overview

MURAD A Large-Scale Multi-Domain Unified Reverse Arabic Dictionary Dataset is an open Arabic lexical dataset designed to support research in computational linguistics, lexicography, and Arabic natural language processing (NLP). The dataset contains 96,243 word–definition pairs spanning multiple scientific, religious, and linguistic domains.

Arabic is a linguistically and culturally rich language with a vast vocabulary; however, large-scale, structured lexical resources that link Arabic words to precise definitions remain limited. MURAD addresses this gap by aggregating and standardizing definitions from trusted reference works and educational sources.

The dataset is particularly suitable for:

• —Reverse dictionary modeling
• —Semantic retrieval and search
• —Lexical semantics research
• —Educational and digital humanities tools
• —Arabic NLP benchmarking and evaluation

Dataset Description

Each record in MURAD consists of:

• —Target Arabic term
• —Standardized Arabic definition
• —Source metadata, including domain, reference ID, source title, URL, and extraction method

The data were extracted using a hybrid processing pipeline that integrates:

• —Direct text parsing (scraping)
• —Optical Character Recognition (OCR)
• —Automated reconstruction and normalization via GPT-4o

This pipeline was designed to ensure high accuracy, clarity, and consistency across heterogeneous source materials.

Domain Coverage

MURAD covers a wide range of domains, including but not limited to:

• —Linguistics
• —Islamic studies and jurisprudence
• —Psychology
• —Mathematics
• —Physics
• —Chemistry
• —Engineering (mechanical, electrical, electronic)
• —Machine learning, deep learning, and data science
• —Measurement and scientific terminology

Data Format

The dataset is released in a structured, machine-readable format (CSV, UTF-8) suitable for direct use in NLP pipelines. Each entry aligns a single Arabic term with its definition and associated source metadata.

Sources and References

The following table lists the primary Arabic reference sources used to compile the MURAD dataset. Counts indicate the number of word–definition pairs extracted from each source. Reference IDs correspond to identifiers used in the dataset metadata.

Intended Use

MURAD is intended for research and educational purposes, including:

• —Training and evaluating Arabic NLP models
• —Studying Arabic lexical semantics and definition modeling
• —Building reverse dictionaries and semantic search systems
• —Supporting digital lexicography and curriculum development

License and Availability

This dataset is released openly under the CC BY 4.0 license to promote reproducible research and broader access to high-quality Arabic lexical resources. The dataset is publicly available at: https://huggingface.co/datasets/riotu-lab/MURAD

Citation

If you use MURAD in your work, please cite the following paper:

APA:

Sibaee, S., Alhabashi, Y., Sibai, N., Farouk, Y., Ammar, A., AlHalawani, S., & Boulila, W. (2026). MURAD: A Large-Scale Multi-Domain Unified Reverse Arabic Dictionary Dataset. arXiv preprint arXiv:2601.21512.
https://arxiv.org/abs/2601.21512

BibTeX:

@misc{sibaee2026murad,
      title={MURAD: A Large-Scale Multi-Domain Unified Reverse Arabic Dictionary Dataset}, 
      author={Serry Sibaee and Yasser Alhabashi and Nadia Sibai and Yara Farouk and Adel Ammar and Sawsan AlHalawani and Wadii Boulila},
      year={2026},
      eprint={2601.21512},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2601.21512}, 
}