edited benchmarking info

README.md

@@ -432,8 +432,6 @@ political animosity, animal aversion, vegan antipathy, ethnic group hostility, a
 
 The dataset includes 4 labels, **offensive**, **hate**, **neutral** and **civilized**.
 
-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:
 
@@ -453,7 +451,7 @@ 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/).
+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
@@ -476,5 +474,24 @@ An instance looks like:
 |---------|----:|---:|---:|
 |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!!