Spaces:
Running
on
Zero
Running
on
Zero
Update Note
Browse files- serve/leaderboard.py +8 -0
serve/leaderboard.py
CHANGED
@@ -114,6 +114,13 @@ def build_leaderboard_tab(score_result_file = 'sorted_score_list.json'):
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gr.Markdown(md, elem_id="leaderboard_markdown")
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md = make_arena_leaderboard_data(score_results)
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gr.Dataframe(md)
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gr.Markdown(
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""" ### The leaderboard is regularly updated and continuously incorporates new models.
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@@ -147,6 +154,7 @@ def build_leaderboard_video_tab(score_result_file = 'sorted_score_list_video.jso
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gr.Dataframe(md)
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notice_markdown_sora = """
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- Note: As Sora's video generation function is not publicly available, we used sample videos from their official website. This may lead to a biased assessment of Sora's capabilities, as these samples likely represent Sora's best outputs. Therefore, Sora's position on our leaderboard should be considered as its upper bound. We are working on methods to conduct more comprehensive and fair comparisons in the future.
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"""
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gr.Markdown(md, elem_id="leaderboard_markdown")
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md = make_arena_leaderboard_data(score_results)
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gr.Dataframe(md)
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gr.Markdown(
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"""
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- Note: When σ is large (we use the '*' labeling), it indicates that the model did not receive enough votes and its ranking is in the process of being updated.
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""",
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elem_id="sigma_note_markdown",
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)
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gr.Markdown(
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""" ### The leaderboard is regularly updated and continuously incorporates new models.
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gr.Dataframe(md)
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notice_markdown_sora = """
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- Note: When σ is large (we use the '*' labeling), it indicates that the model did not receive enough votes and its ranking is in the process of being updated.
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- Note: As Sora's video generation function is not publicly available, we used sample videos from their official website. This may lead to a biased assessment of Sora's capabilities, as these samples likely represent Sora's best outputs. Therefore, Sora's position on our leaderboard should be considered as its upper bound. We are working on methods to conduct more comprehensive and fair comparisons in the future.
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"""
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