Update README.md

README.md

@@ -46,7 +46,7 @@ IndoToxic2024 is a multi-labeled dataset designed to analyze online discourse in
 - **Timeframe:** September 2023 – January 2024  
 - **Annotators:** 29 individuals from diverse demographic backgrounds  
 
-### Label Distribution
+### Label Distribution - For Experiments
 
 | Label        | Count |
 |-------------|-------|
@@ -76,9 +76,9 @@ The dataset consists of texts labeled for **toxicity and polarization**, along w
 
 ### Key Results:
 
-We benchmarked IndoToxic2024 using **BERT-based models** and **large language models (LLMs)**. The results indicate that:
+We benchmarked IndoDiscourse using **BERT-based models** and **large language models (LLMs)**. The results indicate that:
 
-- **BERT-based models outperform LLMs**, with **IndoBERTweet** achieving the highest accuracy.
+- **BERT-based models outperform 0-shot LLMs**, with **IndoBERTweet** achieving the highest accuracy.
 - **Polarization detection is harder than toxicity detection**, as evidenced by lower recall scores.
 - **Demographic information improves classification**, especially for polarization detection.
 
@@ -94,7 +94,7 @@ We benchmarked IndoToxic2024 using **BERT-based models** and **large language mo
 
 ## Citation
 
-If you use IndoToxic2024, please cite:
+If you use IndoDiscourse, please cite:
 
 ```bibtex
 @misc{susanto2025multilabeleddatasetindonesiandiscourse,