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---
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license: apache-2.0
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task_categories:
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- token-classification
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- text-classification
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language:
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- ar
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- da
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- de
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- en
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- es
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- fr
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- hi
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- hr
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- id
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- ja
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- ko
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- nl
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- pt
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- ru
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- sk
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- sv
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- sw
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- th
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- tr
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- vi
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- zh
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tags:
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- aspect-based-sentiment-analysis
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size_categories:
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- 100K<n<1M
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---
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# M-ABSA |
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This repo contains the data for our paper ****M-ABSA: A Multilingual Dataset for Aspect-Based Sentiment Analysis****. |
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[](https://arxiv.org/abs/2502.11824) |
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# Data Description: |
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This is a dataset suitable for the __multilingual ABSA__ task with __triplet extraction__. |
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All datasets are stored in the data/ folder: |
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- All dataset contains __7__ domains. |
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``` |
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domains = ["coursera", "hotel", "laptop", "restaurant", "phone", "sight", "food"] |
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``` |
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- Each dataset contains __21__ languages. |
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``` |
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langs = ["ar", "da", "de", "en", "es", "fr", "hi", "hr", "id", "ja", "ko", "nl", "pt", "ru", "sk", "sv", "sw", "th", "tr", "vi", "zh"] |
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``` |
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- The labels contain triplets with __[aspect term, aspect category, sentiment polarity]__. Each sentence is separated by __"####"__, with the first part being the sentence and the second part being the corresponding triplet. Here is an example, where the triplet includes __[aspect term, aspect category, sentiment polarity]__. |
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``` |
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This coffee brews up a nice medium roast with exotic floral and berry notes .####[['coffee', 'food quality', 'positive']] |
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``` |
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- Each dataset is divided into training, validation, and test sets. |
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## Citation |
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If the code or dataset is used in your research, please star our repo and cite our paper as follows: |
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``` |
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@misc{wu2025mabsa, |
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title={M-ABSA: A Multilingual Dataset for Aspect-Based Sentiment Analysis}, |
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author={Chengyan Wu and Bolei Ma and Yihong Liu and Zheyu Zhang and Ningyuan Deng and Yanshu Li and Baolan Chen and Yi Zhang and Barbara Plank and Yun Xue}, |
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year={2025}, |
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eprint={2502.11824}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CL}, |
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url={https://arxiv.org/abs/2502.11824}, |
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} |
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``` |
