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Datasets:
aisingapore
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nlu-sentiment_analysis

Tasks:
Text Generation
Text Classification
Modalities:
Text
Formats:
parquet
Languages:
Indonesian
Javanese
Sundanese
Size:
1K - 10K
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metadata
pretty_name: SEA Sentiment Analysis
license:
  - cc-by-sa-4.0
  - cc-by-4.0
  - cc0-1.0
task_categories:
  - text-generation
  - text-classification
language:
  - id
  - jv
  - su
  - ta
  - th
  - vi
dataset_info:
  features:
    - name: id
      dtype: string
    - name: label
      dtype: string
    - name: prompts
      list:
        - name: text
          dtype: string
    - name: prompt_templates
      sequence: string
    - name: metadata
      struct:
        - name: language
          dtype: string
  splits:
    - name: id
      num_bytes: 188736
      num_examples: 400
    - name: id_fewshot
      num_bytes: 702
      num_examples: 5
    - name: jv
      num_bytes: 168113
      num_examples: 394
    - name: jv_fewshot
      num_bytes: 913
      num_examples: 5
    - name: su
      num_bytes: 178579
      num_examples: 394
    - name: su_fewshot
      num_bytes: 911
      num_examples: 5
    - name: ta
      num_bytes: 1225066
      num_examples: 1000
    - name: ta_fewshot
      num_bytes: 1859
      num_examples: 5
    - name: th
      num_bytes: 898057
      num_examples: 1000
    - name: th_fewshot
      num_bytes: 523
      num_examples: 5
    - name: vi
      num_bytes: 434373
      num_examples: 1000
    - name: vi_fewshot
      num_bytes: 655
      num_examples: 5
  download_size: 506409
  dataset_size: 3098487
configs:
  - config_name: default
    data_files:
      - split: id
        path: data/id-*
      - split: id_fewshot
        path: data/id_fewshot-*
      - split: jv
        path: data/jv-*
      - split: jv_fewshot
        path: data/jv_fewshot-*
      - split: su
        path: data/su-*
      - split: su_fewshot
        path: data/su_fewshot-*
      - split: ta
        path: data/ta-*
      - split: ta_fewshot
        path: data/ta_fewshot-*
      - split: th
        path: data/th-*
      - split: th_fewshot
        path: data/th_fewshot-*
      - split: vi
        path: data/vi-*
      - split: vi_fewshot
        path: data/vi_fewshot-*
size_categories:
  - 1K<n<10K

SEA Sentiment Analysis

SEA Sentiment Analysis evaluates a model's ability to identify the sentiment polarity of a text. It is sampled from NusaX for Indonesian, Javanese, and Sundanese, IndicSentiment for Tamil, Wisesight Sentiment for Thai, and UIT-VSFC for Vietnamese.

Supported Tasks and Leaderboards

SEA Sentiment Analysis is designed for evaluating chat or instruction-tuned large language models (LLMs). It is part of the SEA-HELM leaderboard from AI Singapore.

Languages

  • Indonesian (id)
  • Javanese (jv)
  • Sundanese (su)
  • Tamil (ta)
  • Thai (th)
  • Vietnamese (vi)

Dataset Details

SEA Sentiment Analysis is split by language, with additional splits containing fewshot examples. Below are the statistics for this dataset. The number of tokens only refer to the strings of text found within the prompts column.

Split # of examples # of GPT-4o tokens # of Gemma 2 tokens # of Llama 3 tokens
id 400 15131 13918 19274
jv 394 16731 17453 20638
su 394 17123 18632 22056
ta 1000 54038 71449 211075
th 1000 38252 38111 4444
vi 1000 16732 16307 16755
id_fewshot 5 145 137 175
jv_fewshot 5 201 219 255
su_fewshot 5 201 217 253
ta_fewshot 5 192 264 792
th_fewshot 5 50 54 63
vi_fewshot 5 87 87 90
total 4218 158883 176848 335873

Data Sources

Data Source License Language/s Split/s
NusaX-Senti CC BY-SA 4.0 Indonesian, Javanese, Sundanese id, id_fewshot, jv, jv_fewshot, su, su_fewshot
IndicSentiment CC BY 4.0 Tamil ta, ta_fewshot
Wisesight Sentiment CC0 1.0 Thai th, th_fewshot
UIT-VSFC - Vietnamese vi, vi_fewshot

License

For the license/s of the dataset/s, please refer to the data sources table above.

We endeavor to ensure data used is permissible and have chosen datasets from creators who have processes to exclude copyrighted or disputed data.

References 

@inproceedings{winata-etal-2023-nusax,
    title = "{N}usa{X}: Multilingual Parallel Sentiment Dataset for 10 {I}ndonesian Local Languages",
    author = "Winata, Genta Indra  and
      Aji, Alham Fikri  and
      Cahyawijaya, Samuel  and
      Mahendra, Rahmad  and
      Koto, Fajri  and
      Romadhony, Ade  and
      Kurniawan, Kemal  and
      Moeljadi, David  and
      Prasojo, Radityo Eko  and
      Fung, Pascale  and
      Baldwin, Timothy  and
      Lau, Jey Han  and
      Sennrich, Rico  and
      Ruder, Sebastian",
    editor = "Vlachos, Andreas  and
      Augenstein, Isabelle",
    booktitle = "Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics",
    month = may,
    year = "2023",
    address = "Dubrovnik, Croatia",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.eacl-main.57",
    doi = "10.18653/v1/2023.eacl-main.57",
    pages = "815--834",
}

@inproceedings{doddapaneni-etal-2023-towards,
    title = "Towards Leaving No {I}ndic Language Behind: Building Monolingual Corpora, Benchmark and Models for {I}ndic Languages",
    author = "Doddapaneni, Sumanth  and
      Aralikatte, Rahul  and
      Ramesh, Gowtham  and
      Goyal, Shreya  and
      Khapra, Mitesh M.  and
      Kunchukuttan, Anoop  and
      Kumar, Pratyush",
    editor = "Rogers, Anna  and
      Boyd-Graber, Jordan  and
      Okazaki, Naoaki",
    booktitle = "Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
    month = jul,
    year = "2023",
    address = "Toronto, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.acl-long.693",
    doi = "10.18653/v1/2023.acl-long.693",
    pages = "12402--12426",
}

@misc{Suriyawongkul_PyThaiNLP_Wisesight_Sentiment_Corpus_2020,
  author       = {Suriyawongkul, Arthit and
                  Chuangsuwanich, Ekapol and
                  Chormai, Pattarawat and
                  Chantarapratin, Nitchakarn and
                  Prasertsom, Ponrawee and
                  Sawatphol, Jitkapat and
                  Yamada, Nozomi and
                  Rutherford, Attapol and
                  Polpanumas, Charin and
                  Udomcharoenchaikit, Can},
  doi          = {10.5281/zenodo.3457446},
  license      = {CC0-1.0},
  month        = nov,
  publisher    = {Zenodo},
  title        = {{PyThaiNLP/Wisesight Sentiment Corpus with Word Tokenization Label}},
  url          = {https://doi.org/10.5281/zenodo.3457446},
  version      = {v1.1},
  year         = 2024
}

@InProceedings{8573337,
  author={Nguyen, Kiet Van and Nguyen, Vu Duc and Nguyen, Phu X. V. and Truong, Tham T. H. and Nguyen, Ngan Luu-Thuy},
  booktitle={2018 10th International Conference on Knowledge and Systems Engineering (KSE)},
  title={UIT-VSFC: Vietnamese Students’ Feedback Corpus for Sentiment Analysis},
  year={2018},
  volume={},
  number={},
  pages={19-24},
  doi={10.1109/KSE.2018.8573337}
}

@misc{leong2023bhasaholisticsoutheastasian,
      title={BHASA: A Holistic Southeast Asian Linguistic and Cultural Evaluation Suite for Large Language Models}, 
      author={Wei Qi Leong and Jian Gang Ngui and Yosephine Susanto and Hamsawardhini Rengarajan and Kengatharaiyer Sarveswaran and William Chandra Tjhi},
      year={2023},
      eprint={2309.06085},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2309.06085}, 
}