## **DATASET_README.md**
```markdown
---
language:
- en
task_categories:
- text-generation
- summarization
- question-answering
- conversational
tags:
- multitask
- email
- stories
- qa
- summarization
- chat
license:
- cc-by-4.0
- apache-2.0
- mit
---

# Gilbert-Multitask-Mix

A diverse multitask dataset for text generation training, combining samples from 5 different domains with structured prompt formatting.

## Dataset Description

This dataset contains 6,500+ examples across multiple text generation tasks, formatted for instruction fine-tuning of language models.

### Domains Included:

1. **Email Drafting** (1,200 examples)
   - Source: Enron AESLC emails
   - Task: Generate email replies from subject and body

2. **Story Continuation** (1,500 examples)  
   - Source: STORIES dataset
   - Task: Continue fictional narratives

3. **Technical Q&A** (1,300 examples)
   - Source: Stack Overflow and technical forums
   - Task: Answer programming and technical questions

4. **News Summarization** (1,300 examples)
   - Source: CNN/DailyMail
   - Task: Summarize news articles

5. **Chat Responses** (1,200 examples)
   - Source: Everyday conversations
   - Task: Generate conversational replies

## Dataset Structure

### Data Format
Each example follows this structured format:
```json
{
  "text": "### Task: <task_description>\n\n### Input:\n<context>\n\n### Output:\n<target>"
}