Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
json
Sub-tasks:
sentiment-classification
Languages:
Turkish
Size:
10K - 100K
Tags:
sentiment
License:
BayanDuygu
commited on
first draft
Browse files
README.md
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path: veganism/test*
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path: veganism/test*
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---
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# Turkish Hate Map - A Big Scale and Diverse Hate Speech Dataset for Turkish
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## Dataset Summary
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Turkish Hate Map (TuHaMa for short) is a big scale dataset that includes diverse target groups such as misogyny,
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political animosity, animal aversion, vegan antipathy, ethnic group hostility, and more. The dataset includes a total of 52K instances with 13 target groups.
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The dataset includes 4 labels, **offensive**, **hate**, **neutral** and **civilized**.
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Hate speech detection task is also a part of [SentiTurca]() benchmark. Details of benchmarking and benchmark code can be found under [SentiTurca repo](https://huggingface.co/datasets/turkish-nlp-suite/SentiTurca) and [SentiTurca Github repo](https://github.com/turkish-nlp-suite/SentiTurca).
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Here is the distribution of target groups:
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| Target group | size |
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|---|---|
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| Animals | 1.2K |
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| Cities | 1.2K |
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| Ethnic groups | 4.4K |
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| LGBT | 1.1K |
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| Misogyny | 19.9K |
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| Occupations | 0.8K |
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| Politics | 12.6 |
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| Political orientation | 3.4K |
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| Refugees | 2.1K |
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| Religion | 2.1K |
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| Sects | 1.5K |
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| Veganism | 1.3K |
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| Total | 52K |
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## Dataset Instances
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An instance looks like:
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```
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{
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"baslik": "soyleyecek-cok-seyi-oldugu-halde-susan-kadin",
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"text": "her susuşunda anlatmak istediği şeyi içine atan kadındır, zamanla hissettiği her şeyi tüketir. aynı zamanda çok cookdur kendisi.",
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"label": 2
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}
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```
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## Data Split
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| name |train|validation|test|
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|---------|----:|---:|---:|
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|Turkish Hate Map|42175|5000|5000|
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## Citation
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Coming soon!!
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