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docs/index.markdown

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 ## Motivation
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 {: .sys-img}
 ![Motivation of AgoraBench.](/assets/img/motivation.png)
 
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 ## Data Generation Methods
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 {: .sys-img}
 ![Data Generation Methods covered in AgoraBench.](/assets/img/methods.png)
 
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 ## Metrics
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 {: .sys-img}
 ![Performance Gap Recovered (PGR) metric used in AgoraBench.](/assets/img/pgr.png)
 
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 ## AgoraBench Results
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 {: .sys-img}
 ![AgoraBench results.](/assets/img/agorabench_results.png)
 
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 ## Conclusion
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 For more information about our work, please check out our paper! Also, we plan to continually update our model based on your feedback! Feel free to reach out to us via email or twitter!
 
 ## Bibtex
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 <pre>
 @misc{kim2024evaluating,
       title={Evaluating Language Models as Synthetic Data Generators},