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README.md

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 # Turkish Hate Map - A Big Scale and Diverse Hate Speech Dataset for Turkish
 
 
+<img src="https://raw.githubusercontent.com/turkish-nlp-suite/.github/main/profile/tuhamalogo.png"  width="80%" height="80%">
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 ## Dataset Summary
 
-Turkish Hate Map (TuHaMa for short) is a big scale dataset that includes diverse target groups such as misogyny,
+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**.
 
-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).
+Hate speech detection task is also a part of [SentiTurca](https://huggingface.co/datasets/turkish-nlp-suite/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).
 
 
 Here is the distribution of target groups:
@@ -450,6 +453,7 @@ Here is the distribution of target groups:
 | 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/).
 
 
 ## Dataset Instances