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Browse files- app.py +4 -4
- leaderboard.jsonl +0 -0
app.py
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@@ -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/
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<img src="https://img.shields.io/badge/arXiv-
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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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@@ -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/
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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/
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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
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