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Add dataset card

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+
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+ ## **DATASET_README.md**
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+ ```markdown
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+ ---
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+ language:
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+ - en
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+ task_categories:
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+ - text-generation
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+ - summarization
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+ - question-answering
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+ - conversational
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+ tags:
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+ - multitask
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+ - email
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+ - stories
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+ - qa
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+ - summarization
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+ - chat
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+ license:
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+ - cc-by-4.0
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+ - apache-2.0
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+ - mit
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+ ---
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+
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+ # Gilbert-Multitask-Mix
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+
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+ A diverse multitask dataset for text generation training, combining samples from 5 different domains with structured prompt formatting.
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+
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+ ## Dataset Description
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+
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+ This dataset contains 6,500+ examples across multiple text generation tasks, formatted for instruction fine-tuning of language models.
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+
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+ ### Domains Included:
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+
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+ 1. **Email Drafting** (1,200 examples)
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+ - Source: Enron AESLC emails
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+ - Task: Generate email replies from subject and body
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+
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+ 2. **Story Continuation** (1,500 examples)
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+ - Source: STORIES dataset
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+ - Task: Continue fictional narratives
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+
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+ 3. **Technical Q&A** (1,300 examples)
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+ - Source: Stack Overflow and technical forums
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+ - Task: Answer programming and technical questions
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+
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+ 4. **News Summarization** (1,300 examples)
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+ - Source: CNN/DailyMail
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+ - Task: Summarize news articles
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+
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+ 5. **Chat Responses** (1,200 examples)
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+ - Source: Everyday conversations
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+ - Task: Generate conversational replies
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+
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+ ## Dataset Structure
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+
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+ ### Data Format
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+ Each example follows this structured format:
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+ ```json
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+ {
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+ "text": "### Task: <task_description>\n\n### Input:\n<context>\n\n### Output:\n<target>"
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+ }