Update readme

README.md

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----
-license: apache-2.0
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+---
+license: apache-2.0
+task_categories:
+- text-classification
+language:
+- en
+tags:
+- Jokes
+---
+
+# 🃏 Labelled r/Jokes Dataset
+
+A dataset of Reddit jokes from r/Jokes annotated with humor, offensiveness, and sentiment using large language models (LLMs).
+
+## 📊 Dataset Overview
+
+- **LLM-Labeled Subset (Mistral-7B):** 55,278 jokes  
+- **Model-Predicted Subset (Fine-tuned RoBERTa):** 518,124 jokes
+
+## 📄 Column Descriptions
+
+| Column          | Description                                                                 |
+|------------------|-----------------------------------------------------------------------------|
+| `date`           | Date the joke was posted on Reddit (r/Jokes)                                |
+| `joke`           | The full text of the joke                                                   |
+| `score`          | Number of upvotes received in the subreddit                                 |
+| `humor`          | Binary label: 1 = humorous, 0 = not humorous                                |
+| `offensiveness`  | Binary label: 1 = offensive, 0 = not offensive                              |
+| `sentiment`      | Sentiment score: -1 = negative, 0 = neutral, 1 = positive                   |
+| `source`         | Indicates labeling source: `llm` (Mistral-7B) or `roberta` (fine-tuned RoBERTa) |
+
+## 💡 Use Cases
+
+- Humor detection and classification  
+- Offensive content moderation  
+- Sentiment-aware joke recommendation  
+- Multi-label text classification tasks
+
+## 🚀 Usage
+
+This dataset was used to fine-tune the RoBERTa model available here:  
+👉 [SajilAwale/FunnyModel](https://huggingface.co/SajilAwale/FunnyModel)
+
+## 📝 Source
+
+Original joke dataset: [rJokesData GitHub Repository](https://github.com/orionw/rJokesData)