holylovenia commited on
Commit
bc7e52e
1 Parent(s): ea1ecf9

Upload README.md with huggingface_hub

Browse files
Files changed (1) hide show
  1. README.md +53 -30
README.md CHANGED
@@ -1,48 +1,73 @@
 
1
  ---
2
- tags:
3
- - aspect-based-sentiment-analysis
4
- language:
5
  - ind
 
 
 
 
 
6
  ---
7
 
8
- # id_multilabel_hs
9
-
10
  The ID_MULTILABEL_HS dataset is collection of 13,169 tweets in Indonesian language,
11
-
12
  designed for hate speech detection NLP task. This dataset is combination from previous research and newly crawled data from Twitter.
13
-
14
  This is a multilabel dataset with label details as follows:
15
-
16
  -HS : hate speech label;
17
-
18
  -Abusive : abusive language label;
19
-
20
  -HS_Individual : hate speech targeted to an individual;
21
-
22
  -HS_Group : hate speech targeted to a group;
23
-
24
  -HS_Religion : hate speech related to religion/creed;
25
-
26
  -HS_Race : hate speech related to race/ethnicity;
27
-
28
  -HS_Physical : hate speech related to physical/disability;
29
-
30
  -HS_Gender : hate speech related to gender/sexual orientation;
31
-
32
  -HS_Gender : hate related to other invective/slander;
33
-
34
  -HS_Weak : weak hate speech;
35
-
36
  -HS_Moderate : moderate hate speech;
37
-
38
  -HS_Strong : strong hate speech.
39
 
 
 
 
 
 
 
 
 
 
40
  ## Dataset Usage
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
41
 
42
- Run `pip install nusacrowd` before loading the dataset through HuggingFace's `load_dataset`.
 
 
 
 
43
 
44
  ## Citation
45
 
 
46
  ```
47
  @inproceedings{ibrohim-budi-2019-multi,
48
  title = "Multi-label Hate Speech and Abusive Language Detection in {I}ndonesian {T}witter",
@@ -57,16 +82,14 @@ Run `pip install nusacrowd` before loading the dataset through HuggingFace's `lo
57
  doi = "10.18653/v1/W19-3506",
58
  pages = "46--57",
59
  }
60
- ```
61
-
62
- ## License
63
 
64
- Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International
65
-
66
- ## Homepage
67
 
68
- [https://aclanthology.org/W19-3506/](https://aclanthology.org/W19-3506/)
69
-
70
- ### NusaCatalogue
 
 
 
 
71
 
72
- For easy indexing and metadata: [https://indonlp.github.io/nusa-catalogue](https://indonlp.github.io/nusa-catalogue)
 
1
+
2
  ---
3
+ language:
 
 
4
  - ind
5
+ pretty_name: Id Multilabel Hs
6
+ task_categories:
7
+ - aspect-based-sentiment-analysis
8
+ tags:
9
+ - aspect-based-sentiment-analysis
10
  ---
11
 
 
 
12
  The ID_MULTILABEL_HS dataset is collection of 13,169 tweets in Indonesian language,
 
13
  designed for hate speech detection NLP task. This dataset is combination from previous research and newly crawled data from Twitter.
 
14
  This is a multilabel dataset with label details as follows:
 
15
  -HS : hate speech label;
 
16
  -Abusive : abusive language label;
 
17
  -HS_Individual : hate speech targeted to an individual;
 
18
  -HS_Group : hate speech targeted to a group;
 
19
  -HS_Religion : hate speech related to religion/creed;
 
20
  -HS_Race : hate speech related to race/ethnicity;
 
21
  -HS_Physical : hate speech related to physical/disability;
 
22
  -HS_Gender : hate speech related to gender/sexual orientation;
 
23
  -HS_Gender : hate related to other invective/slander;
 
24
  -HS_Weak : weak hate speech;
 
25
  -HS_Moderate : moderate hate speech;
 
26
  -HS_Strong : strong hate speech.
27
 
28
+
29
+ ## Languages
30
+
31
+ ind
32
+
33
+ ## Supported Tasks
34
+
35
+ Aspect Based Sentiment Analysis
36
+
37
  ## Dataset Usage
38
+ ### Using `datasets` library
39
+ ```
40
+ from datasets import load_dataset
41
+ dset = datasets.load_dataset("SEACrowd/id_multilabel_hs", trust_remote_code=True)
42
+ ```
43
+ ### Using `seacrowd` library
44
+ ```import seacrowd as sc
45
+ # Load the dataset using the default config
46
+ dset = sc.load_dataset("id_multilabel_hs", schema="seacrowd")
47
+ # Check all available subsets (config names) of the dataset
48
+ print(sc.available_config_names("id_multilabel_hs"))
49
+ # Load the dataset using a specific config
50
+ dset = sc.load_dataset_by_config_name(config_name="<config_name>")
51
+ ```
52
+
53
+ More details on how to load the `seacrowd` library can be found [here](https://github.com/SEACrowd/seacrowd-datahub?tab=readme-ov-file#how-to-use).
54
+
55
+
56
+ ## Dataset Homepage
57
+
58
+ [https://aclanthology.org/W19-3506/](https://aclanthology.org/W19-3506/)
59
+
60
+ ## Dataset Version
61
 
62
+ Source: 1.0.0. SEACrowd: 2024.06.20.
63
+
64
+ ## Dataset License
65
+
66
+ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International
67
 
68
  ## Citation
69
 
70
+ If you are using the **Id Multilabel Hs** dataloader in your work, please cite the following:
71
  ```
72
  @inproceedings{ibrohim-budi-2019-multi,
73
  title = "Multi-label Hate Speech and Abusive Language Detection in {I}ndonesian {T}witter",
 
82
  doi = "10.18653/v1/W19-3506",
83
  pages = "46--57",
84
  }
 
 
 
85
 
 
 
 
86
 
87
+ @article{lovenia2024seacrowd,
88
+ title={SEACrowd: A Multilingual Multimodal Data Hub and Benchmark Suite for Southeast Asian Languages},
89
+ author={Holy Lovenia and Rahmad Mahendra and Salsabil Maulana Akbar and Lester James V. Miranda and Jennifer Santoso and Elyanah Aco and Akhdan Fadhilah and Jonibek Mansurov and Joseph Marvin Imperial and Onno P. Kampman and Joel Ruben Antony Moniz and Muhammad Ravi Shulthan Habibi and Frederikus Hudi and Railey Montalan and Ryan Ignatius and Joanito Agili Lopo and William Nixon and Börje F. Karlsson and James Jaya and Ryandito Diandaru and Yuze Gao and Patrick Amadeus and Bin Wang and Jan Christian Blaise Cruz and Chenxi Whitehouse and Ivan Halim Parmonangan and Maria Khelli and Wenyu Zhang and Lucky Susanto and Reynard Adha Ryanda and Sonny Lazuardi Hermawan and Dan John Velasco and Muhammad Dehan Al Kautsar and Willy Fitra Hendria and Yasmin Moslem and Noah Flynn and Muhammad Farid Adilazuarda and Haochen Li and Johanes Lee and R. Damanhuri and Shuo Sun and Muhammad Reza Qorib and Amirbek Djanibekov and Wei Qi Leong and Quyet V. Do and Niklas Muennighoff and Tanrada Pansuwan and Ilham Firdausi Putra and Yan Xu and Ngee Chia Tai and Ayu Purwarianti and Sebastian Ruder and William Tjhi and Peerat Limkonchotiwat and Alham Fikri Aji and Sedrick Keh and Genta Indra Winata and Ruochen Zhang and Fajri Koto and Zheng-Xin Yong and Samuel Cahyawijaya},
90
+ year={2024},
91
+ eprint={2406.10118},
92
+ journal={arXiv preprint arXiv: 2406.10118}
93
+ }
94
 
95
+ ```