Datasets:
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README.md
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3. **transcripts/**: A folder containing the text transcripts of the audio files.
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4. **annotations.csv**: A CSV file that includes the annotations for each record, detailing sentiment labels, sarcasm markers, and other relevant metadata.
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### License
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The AR-MUSA dataset is licensed under the Academic Free License 3.0 (afl-3.0) and is provided for research purposes only. Any use of this dataset must comply with the terms of this license.
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### Citation
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If you use the AR-MUSA dataset in your research, please cite the following paper:
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@article{khaled2025ar,
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title={AR-MUSA: a multimodal benchmark dataset and evaluation framework for Arabic sentiment analysis},
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author={Khaled, S. and Ragab, M. E. and Helmy, A. K. and Medhat, W. and Mohamed, E. H.},
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pages={30-44},
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year={2025},
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doi={10.22266/ijies2025.0531.03}
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}
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3. **transcripts/**: A folder containing the text transcripts of the audio files.
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4. **annotations.csv**: A CSV file that includes the annotations for each record, detailing sentiment labels, sarcasm markers, and other relevant metadata.
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### License
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The AR-MUSA dataset is licensed under the Academic Free License 3.0 (afl-3.0) and is provided for research purposes only. Any use of this dataset must comply with the terms of this license.
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### Research Paper
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For detailed information on the dataset construction, validation procedures, and experimental results, please refer to our published paper:
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**Khaled, S., Ragab, M. E., Helmy, A. K., Medhat, W., & Mohamed, E. H.** (2025). *AR-MUSA: A multimodal benchmark dataset and evaluation framework for Arabic sentiment analysis*. **International Journal of Intelligent Engineering and Systems**, 18(4), 30–44.
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🔗 [Read the paper](https://doi.org/10.22266/ijies2025.0531.03)
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---
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### Citation
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If you use the **AR-MUSA** dataset in your research, please cite the following paper:
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```bibtex
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@article{khaled2025ar,
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title={AR-MUSA: a multimodal benchmark dataset and evaluation framework for Arabic sentiment analysis},
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author={Khaled, S. and Ragab, M. E. and Helmy, A. K. and Medhat, W. and Mohamed, E. H.},
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pages={30-44},
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year={2025},
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doi={10.22266/ijies2025.0531.03}
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}
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