---
annotations_creators:
- Duygu Altinok
language:
- tr
license:
- cc-by-sa-4.0
multilinguality:
- monolingual
size_categories:
- 100K<n<1M
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- sentiment-classification
pretty_name: TurkishHateMap (Hate Map of Türkiye)
config_names:
- animals
- cities
- ethnicity
- lgbt
- misogyny
- occupations
- politics
- political-orientation
- refugees
- religion
- sects
- veganism
tags:
- sentiment
dataset_info:
- config_name: animals
  features:
  - name: baslik
    dtype: string
  - name: text
    dtype: string
  - name: label
    dtype:
      class_label:
        names:
          0: offensive
          1: hate
          2: neutral
          3: civilized
  splits:
  - name: train
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    num_examples: 996
  - name: validation
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    num_examples: 113
  - name: test
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- config_name: cities
  features:
  - name: baslik
    dtype: string
  - name: text
    dtype: string
  - name: label
    dtype:
      class_label:
        names:
          0: offensive
          1: hate
          2: neutral
          3: civilized
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  - name: train
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  - name: validation
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- config_name: ethnicity
  features:
  - name: baslik
    dtype: string
  - name: text
    dtype: string
  - name: label
    dtype:
      class_label:
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          1: hate
          2: neutral
          3: civilized
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  - name: validation
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- config_name: lgbt
  features:
  - name: baslik
    dtype: string
  - name: text
    dtype: string
  - name: label
    dtype:
      class_label:
        names:
          0: offensive
          1: hate
          2: neutral
          3: civilized
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    num_examples: 114
  - name: train
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  - name: validation
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- config_name: misogyny
  features:
  - name: baslik
    dtype: string
  - name: text
    dtype: string
  - name: label
    dtype:
      class_label:
        names:
          0: offensive
          1: hate
          2: neutral
          3: civilized
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  - name: validation
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- config_name: occupations
  features:
  - name: baslik
    dtype: string
  - name: text
    dtype: string
  - name: label
    dtype:
      class_label:
        names:
          0: offensive
          1: hate
          2: neutral
          3: civilized
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  - name: train
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- config_name: politics
  features:
  - name: baslik
    dtype: string
  - name: text
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  - name: label
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          0: offensive
          1: hate
          2: neutral
          3: civilized
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  - name: train
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  - name: validation
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- config_name: political-orientation
  features:
  - name: baslik
    dtype: string
  - name: text
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  - name: label
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        names:
          0: offensive
          1: hate
          2: neutral
          3: civilized
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  - name: train
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  - name: validation
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- config_name: refugees
  features:
  - name: baslik
    dtype: string
  - name: text
    dtype: string
  - name: label
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      class_label:
        names:
          0: offensive
          1: hate
          2: neutral
          3: civilized
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- config_name: religion
  features:
  - name: baslik
    dtype: string
  - name: text
    dtype: string
  - name: label
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      class_label:
        names:
          0: offensive
          1: hate
          2: neutral
          3: civilized
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  - name: train
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  - name: validation
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- config_name: sects
  features:
  - name: baslik
    dtype: string
  - name: text
    dtype: string
  - name: label
    dtype:
      class_label:
        names:
          0: offensive
          1: hate
          2: neutral
          3: civilized
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  - name: train
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    num_examples:  1278
  - name: validation
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- config_name: veganism
  features:
  - name: baslik
    dtype: string
  - name: text
    dtype: string
  - name: label
    dtype:
      class_label:
        names:
          0: offensive
          1: hate
          2: neutral
          3: civilized
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configs:
- config_name: animals
  data_files:
  - split: train
    path: animals/train*
  - split: validation
    path: animals/valid*
  - split: test
    path: animals/test*
- config_name: cities
  data_files:
  - split: train
    path: cities/train*
  - split: validation
    path: cities/valid*
  - split: test
    path: cities/test*
- config_name: ethnicity
  data_files:
  - split: train
    path: ethnicity/train*
  - split: validation
    path: ethnicity/valid*
  - split: test
    path: ethnicity/test*
- config_name: lgbt
  data_files:
  - split: train
    path: lgbt/train*
  - split: validation
    path: lgbt/valid*
  - split: test
    path: lgbt/test*
- config_name: misogyny
  data_files:
  - split: train
    path: misogyny/train*
  - split: validation
    path: misogyny/valid*
  - split: test
    path: misogyny/test*
- config_name: occupations
  data_files:
  - split: train
    path: occupations/train*
  - split: validation
    path: occupations/valid*
  - split: test
    path: occupations/test*
- config_name: politics
  data_files:
  - split: train
    path: politics/train*
  - split: validation
    path: politics/valid*
  - split: test
    path: politics/test*
- config_name: political-orientation
  data_files:
  - split: train
    path: political-orientation/train*
  - split: validation
    path: political-orientation/valid*
  - split: test
    path: political-orientation/test*
- config_name: refugees
  data_files:
  - split: train
    path: refugees/train*
  - split: validation
    path: refugees/valid*
  - split: test
    path: refugees/test*
- config_name: religion
  data_files:
  - split: train
    path: religion/train*
  - split: validation
    path: religion/valid*
  - split: test
    path: religion/test*
- config_name: sects
  data_files:
  - split: train
    path: sects/train*
  - split: validation
    path: sects/valid*
  - split: test
    path: sects/test*
- config_name: veganism
  data_files:
  - split: train
    path: veganism/train*
  - split: validation
    path: veganism/valid*
  - split: test
    path: veganism/test*
---

# Turkish Hate Map - A Large Scale and Diverse Hate Speech Dataset for Turkish


<img src="https://raw.githubusercontent.com/turkish-nlp-suite/.github/main/profile/tuhamalogo.png"  width="50%" height="50%">


## Dataset Summary

Turkish Hate Map (TuHaMa for short) is a big scale Turkish hate speech dataset that includes diverse target groups such as misogyny,
political animosity, animal aversion, vegan antipathy, ethnic group hostility, and more. The dataset includes a total of 52K instances with 13 target groups.

The dataset includes 4 labels, **offensive**, **hate**, **neutral** and **civilized**.


Here is the distribution of target groups:

| Target group | size |
|---|---|
| Animals  | 1.2K |
| Cities  | 1.2K |
| Ethnic groups  | 4.4K |
| LGBT  | 1.1K |
| Misogyny  | 19.9K |
| Occupations  | 0.8K |
| Politics  | 12.6 |
| Political orientation  | 3.4K |
| Refugees  | 2.1K |
| Religion  | 2.1K |
| Sects | 1.5K |
| Veganism | 1.3K |
| Total | 52K |

All text is scraped from Eksisozluk.com in a targeted manner and sampled. The annotations are done by the data company [Co-one](https://www.co-one.co/). For more details please refer to the [research paper]()


## Dataset Instances

An instance looks like:

```
{
"baslik": "soyleyecek-cok-seyi-oldugu-halde-susan-kadin",
"text": "her susuşunda anlatmak istediği şeyi içine atan kadındır, zamanla hissettiği her şeyi tüketir. aynı zamanda çok cookdur kendisi.",
"label": 2
}
```



## Data Split

|  name   |train|validation|test|
|---------|----:|---:|---:|
|Turkish Hate Map|42175|5000|5000|



## Benchmarking
This dataset is a part of [SentiTurca](https://huggingface.co/datasets/turkish-nlp-suite/SentiTurca) benchmark, in the benchmark the subset name is **hate**, named according to the GLUE tasks.
Model benchmarking information can be found under SentiTurca HF repo and benchmarking scripts can be found under [SentiTurca Github repo](https://github.com/turkish-nlp-suite/SentiTurca).

For this dataset we benchmarked a transformer based model BERTurk and a handful of LLMs. Success of each model is follows:

| Model | acc./F1 |
|---|---|
| Gemini 1.0 Pro  | 0.33/0.29 |
| GPT-4 Turbo  | 0.38/0.32 |
| Claude 3 Sonnet  | 0.16/0.29 |
| Llama 3 70B | 0.55/0.35 |
| Qwen2-72B  | 0.70/0.35 |
| BERTurk | 0.61/0.58 |

For a critique of the results, misclassified instances and more please consult to the [research paper]().

## Citation
Coming soon!!