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- ---
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- pretty_name: SEA Toxicity Detection
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- license:
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- - cc-by-nc-sa-4.0
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- - cc-by-nc-3.0
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- - cc-by-nc-4.0
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- task_categories:
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- - text-generation
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- - text-classification
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- language:
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- - id
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- - th
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- - vi
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- dataset_info:
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- features:
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- - name: label
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- dtype: string
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- - name: prompts
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- list:
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- - name: text
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- dtype: string
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- - name: prompt_templates
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- sequence: string
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- - name: id
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- dtype: string
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- - name: metadata
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- struct:
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- - name: language
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- dtype: string
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- splits:
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- - name: id
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- num_bytes: 728212
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- num_examples: 1000
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- num_tokens_gpt_4o: 34416
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- num_tokens_gemma_2: 34238
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- num_tokens_llama_3: 40537
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- - name: id_fewshot
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- num_bytes: 780
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- num_examples: 5
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- num_tokens_gpt_4o: 183
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- num_tokens_gemma_2: 174
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- num_tokens_llama_3: 216
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- - name: th
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- num_bytes: 1356637
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- num_examples: 1000
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- num_tokens_gpt_4o: 38189
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- num_tokens_gemma_2: 35980
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- num_tokens_llama_3: 42901
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- - name: th_fewshot
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- num_bytes: 983
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- num_examples: 5
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- num_tokens_gpt_4o: 130
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- num_tokens_gemma_2: 121
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- num_tokens_llama_3: 150
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- - name: vi
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- num_bytes: 699612
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- num_examples: 1000
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- num_tokens_gpt_4o: 17540
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- num_tokens_gemma_2: 16904
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- num_tokens_llama_3: 18287
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- - name: vi_fewshot
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- num_bytes: 584
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- num_examples: 5
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- num_tokens_gpt_4o: 104
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- num_tokens_gemma_2: 97
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- num_tokens_llama_3: 104
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- download_size: 283080
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- dataset_size: 2786808
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- total_tokens_gpt_4o: 90562
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- total_tokens_gemma_2: 87514
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- total_tokens_llama_3: 102195
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- configs:
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- - config_name: default
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- data_files:
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- - split: id
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- path: data/id-*
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- - split: id_fewshot
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- path: data/id_fewshot-*
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- - split: th
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- path: data/th-*
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- - split: th_fewshot
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- path: data/th_fewshot-*
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- - split: vi
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- path: data/vi-*
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- - split: vi_fewshot
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- path: data/vi_fewshot-*
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- size_categories:
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- - 1K<n<10K
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- ---
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  # SEA Toxicity Detection
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  SEA Toxicity Detection evaluates a model's ability to identify toxic content such as hate speech and abusive language in text. It is sampled from [MLHSD](https://aclanthology.org/W19-3506/) for Indonesian, [TTD](http://lrec-conf.org/workshops/lrec2018/W32/pdf/1_W32.pdf) for Thai, and [ViHSD](https://link.springer.com/chapter/10.1007/978-3-030-79457-6_35) for Vietnamese.
 
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+ ---
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+ pretty_name: SEA Toxicity Detection
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+ license:
4
+ - cc-by-nc-sa-4.0
5
+ - cc-by-nc-3.0
6
+ - cc-by-nc-4.0
7
+ task_categories:
8
+ - text-generation
9
+ - text-classification
10
+ language:
11
+ - id
12
+ - th
13
+ - vi
14
+ dataset_info:
15
+ features:
16
+ - name: label
17
+ dtype: string
18
+ - name: prompts
19
+ list:
20
+ - name: text
21
+ dtype: string
22
+ - name: prompt_templates
23
+ sequence: string
24
+ - name: id
25
+ dtype: string
26
+ - name: metadata
27
+ struct:
28
+ - name: language
29
+ dtype: string
30
+ splits:
31
+ - name: id
32
+ num_bytes: 728212
33
+ num_examples: 1000
34
+ - name: id_fewshot
35
+ num_bytes: 780
36
+ num_examples: 5
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+ - name: th
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+ num_bytes: 1356637
39
+ num_examples: 1000
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+ - name: th_fewshot
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+ num_bytes: 983
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+ num_examples: 5
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+ - name: vi
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+ num_bytes: 699612
45
+ num_examples: 1000
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+ - name: vi_fewshot
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+ num_bytes: 584
48
+ num_examples: 5
49
+ download_size: 283080
50
+ dataset_size: 2786808
51
+ configs:
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+ - config_name: default
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+ data_files:
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+ - split: id
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+ path: data/id-*
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+ - split: id_fewshot
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+ path: data/id_fewshot-*
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+ - split: th
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+ path: data/th-*
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+ - split: th_fewshot
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+ path: data/th_fewshot-*
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+ - split: vi
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+ path: data/vi-*
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+ - split: vi_fewshot
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+ path: data/vi_fewshot-*
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+ size_categories:
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+ - 1K<n<10K
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+ ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  # SEA Toxicity Detection
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  SEA Toxicity Detection evaluates a model's ability to identify toxic content such as hate speech and abusive language in text. It is sampled from [MLHSD](https://aclanthology.org/W19-3506/) for Indonesian, [TTD](http://lrec-conf.org/workshops/lrec2018/W32/pdf/1_W32.pdf) for Thai, and [ViHSD](https://link.springer.com/chapter/10.1007/978-3-030-79457-6_35) for Vietnamese.