Pranjal2041 commited on
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1 Parent(s): 4dfff5c

Update Links

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  1. app.py +4 -4
  2. leaderboard.jsonl +0 -0
app.py CHANGED
@@ -88,8 +88,8 @@ with gr.Blocks() as demo:
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  <a href="https://pranjal2041.github.io/GEO/" class="badge">
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  <img src="https://img.shields.io/website?down_message=down&style=for-the-badge&up_message=up&url=https%3A%2F%2Fpranjal2041.github.io/GEO/" alt="Website">
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  </a>
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- <a href="https://arxiv.org/abs/2310.18xxx" class="badge">
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- <img src="https://img.shields.io/badge/arXiv-2310.18xxx-red.svg?style=for-the-badge" alt="Arxiv Paper">
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  </a>
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  <a href="https://huggingface.co/datasets/Pranjal2041/geo-bench" class="badge">
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  <img src="https://img.shields.io/badge/Dataset-GEO-%2DBENCH-orange?style=for-the-badge" alt="Dataset">
@@ -101,7 +101,7 @@ with gr.Blocks() as demo:
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  <p>
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  - For benchmarking content optimization Methods for Generative Engines.<br>
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  - GEO-Bench evaluates Methods for optimizing website content to improve visibility in generative engine responses. Benchmark contains 10K queries across 9 datasets covering diverse domains and intents.<br>
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- - Refer to GEO paper for more <a href="https://arxiv.org/abs/2310.18xxx">details</a>
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  </p>
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  """
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@@ -213,7 +213,7 @@ with gr.Blocks() as demo:
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  gr.Markdown(f"""
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  ## About GEO-bench
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  - GEO-bench is a benchmarking platform for content optimization Methods for generative engines.
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- - It is a part of the work released under [GEO](https://arxiv.org/abs/2310.18xxx)
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  - The benchmark comprises of 9 datasets, 7 of which were publicly available, while 2 have been released by us.
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  - Dataset can be downloaded from [here](huggingface.co/datasets/pranjal2041/geo-bench)""")
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  <a href="https://pranjal2041.github.io/GEO/" class="badge">
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  <img src="https://img.shields.io/website?down_message=down&style=for-the-badge&up_message=up&url=https%3A%2F%2Fpranjal2041.github.io/GEO/" alt="Website">
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  </a>
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+ <a href="https://arxiv.org/abs/2311.09735" class="badge">
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+ <img src="https://img.shields.io/badge/arXiv-2311.09735-red.svg?style=for-the-badge" alt="Arxiv Paper">
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  </a>
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  <a href="https://huggingface.co/datasets/Pranjal2041/geo-bench" class="badge">
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  <img src="https://img.shields.io/badge/Dataset-GEO-%2DBENCH-orange?style=for-the-badge" alt="Dataset">
 
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  <p>
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  - For benchmarking content optimization Methods for Generative Engines.<br>
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  - GEO-Bench evaluates Methods for optimizing website content to improve visibility in generative engine responses. Benchmark contains 10K queries across 9 datasets covering diverse domains and intents.<br>
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+ - Refer to GEO paper for more <a href="https://arxiv.org/abs/2311.09735">details</a>
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  </p>
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  """
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  gr.Markdown(f"""
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  ## About GEO-bench
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  - GEO-bench is a benchmarking platform for content optimization Methods for generative engines.
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+ - It is a part of the work released under [GEO](https://arxiv.org/abs/2311.09735)
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  - The benchmark comprises of 9 datasets, 7 of which were publicly available, while 2 have been released by us.
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  - Dataset can be downloaded from [here](huggingface.co/datasets/pranjal2041/geo-bench)""")
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leaderboard.jsonl CHANGED
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