Update README.md

README.md

@@ -1,3 +1,45 @@
----
-license: mit
----
+# **PolySarc Dataset: Multilingual Sarcasm Detection Corpus**
+
+## **Overview**
+PolySarc is a **multilingual sarcasm detection dataset** that contains labeled sentences in **English, German, Italian, Dutch, and Hinglish**.  
+It is designed for **training and evaluating sarcasm detection models** across multiple languages, making it a valuable resource for **cross-lingual NLP research**.
+
+The dataset includes three key columns:
+- **`sentence`**: The textual content of the sentence.
+- **`label`**: Binary sarcasm label (`0` = Non-Sarcastic, `1` = Sarcastic).
+- **`language`**: Language code corresponding to the sentence.
+
+---
+
+## **Dataset Statistics**
+### **Language Distribution**
+The dataset contains **79,428 sentences** distributed across four languages:
+
+| **Language** | **Total Sentences** |
+|-------------|------------------|
+| 🇮🇹 **Italian (it)** | 23,871 |
+| 🇬🇧 **English (en)** | 22,837 |
+| 🇳🇱 **Dutch (nl)** | 20,771 |
+| 🇮🇳 **Hinglish (hi-en)** | 11,949 |
+
+---
+
+### **Label Distribution**
+The dataset is **imbalanced**, with more non-sarcastic sentences than sarcastic ones:
+
+| **Label** | **Meaning** | **Count** |
+|----------|------------|-----------|
+| **0** | Non-Sarcastic | 45,921 |
+| **1** | Sarcastic | 33,507 |
+
+- **57.8% of sentences are non-sarcastic**.
+- **42.2% of sentences are sarcastic**, making it a substantial dataset for sarcasm detection.
+
+---
+
+## **Why PolySarc?**
+✅ **Multilingual**: Covers multiple languages, allowing cross-lingual sarcasm analysis.  
+✅ **Balanced Representation**: While slightly imbalanced, it still contains a significant number of sarcastic sentences.  
+✅ **Real-World Applications**: Useful for **social media analysis, sentiment analysis, and humor detection** in NLP.  
+
+This dataset provides a **challenging yet valuable** benchmark for **sarcasm detection models** across different linguistic structures.