Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
json
Sub-tasks:
sentiment-classification
Languages:
Turkish
Size:
10K - 100K
Tags:
sentiment
License:
metadata
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
num_bytes: 1346938
num_examples: 996
- name: validation
num_bytes: 133450
num_examples: 113
- name: test
num_bytes: 176992
num_examples: 115
- 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
splits:
- name: test
num_bytes: 118338
num_examples: 121
- name: train
num_bytes: 979370
num_examples: 1042
- name: validation
num_bytes: 100464
num_examples: 103
- config_name: ethnicity
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: test
num_bytes: 417886
num_examples: 456
- name: train
num_bytes: 3765287
num_examples: 3519
- name: validation
num_bytes: 375519
num_examples: 432
- 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
splits:
- name: test
num_bytes: 120004
num_examples: 114
- name: train
num_bytes: 1105912
num_examples: 949
- name: validation
num_bytes: 125561
num_examples: 105
- 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
splits:
- name: test
num_bytes: 1688127
num_examples: 1960
- name: train
num_bytes: 15222910
num_examples: 16136
- name: validation
num_bytes: 1787328
num_examples: 1902
- 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
splits:
- name: test
num_bytes: 90756
num_examples: 81
- name: train
num_bytes: 785293
num_examples: 712
- name: validation
num_bytes: 82215
num_examples: 79
- config_name: politics
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: test
num_bytes: 1247514
num_examples: 1182
- name: train
num_bytes: 11384519
num_examples: 10249
- name: validation
num_bytes: 1285706
num_examples: 1228
- config_name: political-orientation
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: test
num_bytes: 300627
num_examples: 305
- name: train
num_bytes: 2949075
num_examples: 2772
- name: validation
num_bytes: 343262
num_examples: 342
- config_name: refugees
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: test
num_bytes: 249765
num_examples: 203
- name: train
num_bytes: 2012525
num_examples: 1688
- name: validation
num_bytes: 245659
num_examples: 220
- config_name: religion
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: test
num_bytes: 322690
num_examples: 197
- name: train
num_bytes: 2439952
num_examples: 1734
- name: validation
num_bytes: 341733
num_examples: 213
- 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
splits:
- name: test
num_bytes: 153362
num_examples: 145
- name: train
num_bytes: 1423249
num_examples: 1278
- name: validation
num_bytes: 132721
num_examples: 148
- 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
splits:
- name: test
num_bytes: 191878
num_examples: 121
- name: train
num_bytes: 1772770
num_examples: 1100
- name: validation
num_bytes: 200298
num_examples: 115
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
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. 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 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.
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!!