---
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

<table>
  <tr>
    <td><img src="https://cdn-uploads.huggingface.co/production/uploads/63f0e7de9cf89c9ed1bf92a2/Iygh4z3z42moUyNm3zEV1.png" width="400"/></td>
    <td><img src="https://cdn-uploads.huggingface.co/production/uploads/63f0e7de9cf89c9ed1bf92a2/JU_-b0OQ7zrQNSN-TXWZZ.png" width="400"/></td>
  </tr>
</table>


## 📄 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)