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						b514443
	
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							507a14d
								
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        app.py
    CHANGED
    
    | @@ -2,7 +2,6 @@ import gradio as gr | |
| 2 | 
             
            import pandas as pd
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            from pathlib import Path
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            from datasets import load_dataset
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            -
            import json
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            import os
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            from huggingface_hub import HfApi, Repository
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            import numpy as np
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| @@ -111,6 +110,7 @@ A win is when the score for the chosen response is higher than the score for the | |
| 111 | 
             
            For more details, see the [dataset](https://huggingface.co/datasets/ai2-rlhf-collab/rm-benchmark-dev).
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            """
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            leaderboard_data = fetch_and_display_data()
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|  | |
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            with gr.Blocks() as app:
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                with gr.Row():
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                    gr.Markdown(benchmark_text)
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| @@ -118,7 +118,9 @@ with gr.Blocks() as app: | |
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                with gr.Row():
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                    output_table = gr.Dataframe(
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                        leaderboard_data.values,
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|  | |
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                        headers=leaderboard_data.columns.tolist(),
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                    )
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            # Load data when app starts
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|  | |
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            import pandas as pd
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            from pathlib import Path
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            from datasets import load_dataset
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|  | |
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            import os
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            from huggingface_hub import HfApi, Repository
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            import numpy as np
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|  | |
| 110 | 
             
            For more details, see the [dataset](https://huggingface.co/datasets/ai2-rlhf-collab/rm-benchmark-dev).
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            """
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            leaderboard_data = fetch_and_display_data()
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            +
            col_types = ["markdown"] + ["number"] * (len(leaderboard_data.columns) - 1)
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            with gr.Blocks() as app:
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                with gr.Row():
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                    gr.Markdown(benchmark_text)
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|  | |
| 118 | 
             
                with gr.Row():
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                    output_table = gr.Dataframe(
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                        leaderboard_data.values,
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            +
                        datatype=col_types,
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                        headers=leaderboard_data.columns.tolist(),
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            +
                        elem_id="leaderboard_dataframe",
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                    )
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            # Load data when app starts
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