metadata

license: apache-2.0
task_categories:
  - token-classification
  - text-classification
language:
  - ar
  - da
  - de
  - en
  - es
  - fr
  - hi
  - hr
  - id
  - ja
  - ko
  - nl
  - pt
  - ru
  - sk
  - sv
  - sw
  - th
  - tr
  - vi
  - zh
tags:
  - aspect-based-sentiment-analysis
size_categories:
  - 100K<n<1M

M-ABSA

This repo contains the data for our paper M-ABSA: A Multilingual Dataset for Aspect-Based Sentiment Analysis.

Data Description:

This is a dataset suitable for the multilingual ABSA task with triplet extraction.

All datasets are stored in the data/ folder:

All dataset contains 7 domains.

domains = ["coursera", "hotel", "laptop", "restaurant", "phone", "sight", "food"]

Each dataset contains 21 languages.

langs = ["ar", "da", "de", "en", "es", "fr", "hi", "hr", "id", "ja", "ko", "nl", "pt", "ru", "sk", "sv", "sw", "th", "tr", "vi", "zh"]

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].

This coffee brews up a nice medium roast with exotic floral and berry notes .####[['coffee', 'food quality', 'positive']]

Each dataset is divided into training, validation, and test sets.

Citation

If the code or dataset is used in your research, please star our repo and cite our paper as follows:

@misc{wu2025mabsa,
      title={M-ABSA: A Multilingual Dataset for Aspect-Based Sentiment Analysis}, 
      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},
      year={2025},
      eprint={2502.11824},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2502.11824}, 
}