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README.md
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- split: train
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path: data/train-*
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license: mit
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- split: train
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path: data/train-*
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license: mit
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---
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---
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language:
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- en
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license: mit
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task_categories:
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- text-generation
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- text-classification
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tags:
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- fact-checking
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- source-verification
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- anti-hallucination
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- citation
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- reality-check
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- reasoning
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size_categories:
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- 100K<n<1M
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---
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# Source Check Dataset
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## Description
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A dataset for training language models to cite sources, verify facts, check reliability, and reduce hallucinations.
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## Content
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- **200,000** examples
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- **5 categories**: source reliability, citations, anti-hallucination, reality check, explanation
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- **English language**
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## Categories
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| Category | Description |
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|----------|-------------|
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| **Source Reliability** | Model evaluates the reliability of sources |
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| **Citations** | Model cites its sources |
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| **Anti-Hallucination** | Model avoids making things up |
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| **Reality Check** | Model verifies facts and myths |
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| **Explanation** | Model explains and verifies |
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## Usage
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```python
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from datasets import load_dataset
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dataset = load_dataset("Lelonthecodeur/source-check-dataset")
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