language:ind aspect-based-sentiment-analysis region:us
The ID_MULTILABEL_HS dataset is collection of 13,169 tweets in Indonesian language,
designed for hate speech detection NLP task. This dataset is combination from previous research and newly crawled data from Twitter.
This is a multilabel dataset with label details as follows:
-HS : hate speech label;
-Abusive : abusive language label;
-HS_Individual : hate speech targeted to an individual;
-HS_Group : hate speech targeted to a group;
-HS_Religion : hate speech related to religion/creed;
-HS_Race : hate speech related to race/ethnicity;
-HS_Physical : hate speech related to physical/disability;
-HS_Gender : hate speech related to gender/sexual orientation;
-HS_Gender : hate related to other invective/slander;
-HS_Weak : weak hate speech;
-HS_Moderate : moderate hate speech;
-HS_Strong : strong hate speech.
@inproceedings{ibrohim-budi-2019-multi,
    title = "Multi-label Hate Speech and Abusive Language Detection in {I}ndonesian {T}witter",
    author = "Ibrohim, Muhammad Okky  and
      Budi, Indra",
    booktitle = "Proceedings of the Third Workshop on Abusive Language Online",
    month = aug,
    year = "2019",
    address = "Florence, Italy",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/W19-3506",
    doi = "10.18653/v1/W19-3506",
    pages = "46--57",
}
---
tags:
- aspect-based-sentiment-analysis
language:
- ind
---

# id_multilabel_hs

The ID_MULTILABEL_HS dataset is collection of 13,169 tweets in Indonesian language,

designed for hate speech detection NLP task. This dataset is combination from previous research and newly crawled data from Twitter.

This is a multilabel dataset with label details as follows:

-HS : hate speech label;

-Abusive : abusive language label;

-HS_Individual : hate speech targeted to an individual;

-HS_Group : hate speech targeted to a group;

-HS_Religion : hate speech related to religion/creed;

-HS_Race : hate speech related to race/ethnicity;

-HS_Physical : hate speech related to physical/disability;

-HS_Gender : hate speech related to gender/sexual orientation;

-HS_Gender : hate related to other invective/slander;

-HS_Weak : weak hate speech;

-HS_Moderate : moderate hate speech;

-HS_Strong : strong hate speech.

## Dataset Usage

Run `pip install nusacrowd` before loading the dataset through HuggingFace's `load_dataset`.

## Citation

```
@inproceedings{ibrohim-budi-2019-multi,
    title = "Multi-label Hate Speech and Abusive Language Detection in {I}ndonesian {T}witter",
    author = "Ibrohim, Muhammad Okky  and
      Budi, Indra",
    booktitle = "Proceedings of the Third Workshop on Abusive Language Online",
    month = aug,
    year = "2019",
    address = "Florence, Italy",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/W19-3506",
    doi = "10.18653/v1/W19-3506",
    pages = "46--57",
}
```

## License

Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International

## Homepage

[https://aclanthology.org/W19-3506/](https://aclanthology.org/W19-3506/)

### NusaCatalogue

For easy indexing and metadata: [https://indonlp.github.io/nusa-catalogue](https://indonlp.github.io/nusa-catalogue)