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  ---
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  dataset_info:
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- - config_name: default
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  features:
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  - name: question_id
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  dtype: string
@@ -36,7 +36,7 @@ configs:
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  - config_name: default
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  data_files:
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  - split: test
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- path: data/test-*
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  - config_name: vision_bench_0617
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  data_files:
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  - split: test
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  # WildVision-Bench
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  ## Evaluation
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  Please refer to our [Github](https://github.com/WildVision-AI/WildVision-Bench) for evaluation
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- ## Leaderboard
 
 
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  | Model | Score | 95% CI | Win Rate | Reward | Much Better | Better | Tie | Worse | Much Worse | Avg Tokens |
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  | :------------------------------: | :---: | :---------: | :------: | :----: | :---------: | :----: | :---: | :---: | :--------: | :--------: |
 
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  ---
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  dataset_info:
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+ - config_name: vision_bench_0701
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  features:
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  - name: question_id
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  dtype: string
 
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  - config_name: default
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  data_files:
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  - split: test
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+ path: vision_bench_0701/test-*
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  - config_name: vision_bench_0617
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  data_files:
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  - split: test
 
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  # WildVision-Bench
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+ We have two versions of Wildvision-Bench data
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+ - `vision_bench_0617`: the selected 500 examples that best simulates the vision-arena elo ranking, same data in the paper.
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+ - `vision_bench_0701`: the further filter and selected 500 examples by NSFW and manual selection. Leaderboard are still preparing.
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+
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  ## Evaluation
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  Please refer to our [Github](https://github.com/WildVision-AI/WildVision-Bench) for evaluation
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+ If you want to evaluate your model, please use the `vision_bench_0617` version to fairly compare the performance with other models in the following leaderboard.
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+
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+ ## Leaderboard (`vision_bench_0717`)
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  | Model | Score | 95% CI | Win Rate | Reward | Much Better | Better | Tie | Worse | Much Worse | Avg Tokens |
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  | :------------------------------: | :---: | :---------: | :------: | :----: | :---------: | :----: | :---: | :---: | :--------: | :--------: |