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README.md
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We're currently evaluating state-of-the-art models on the dataset and are gradually providing access to a more comprehensive Gym-compatible evaluation environment. This environment will allow for offline and online evaluations of agents, offering more structural and fundamental improvements over existing benchmarks like MultiModal-Mind2Web. We will share our findings and release the full leaderboard in a blog post on <https://engineering.rabbit.tech/> soon.
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### Dataset Structure
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We're currently evaluating state-of-the-art models on the dataset and are gradually providing access to a more comprehensive Gym-compatible evaluation environment. This environment will allow for offline and online evaluations of agents, offering more structural and fundamental improvements over existing benchmarks like MultiModal-Mind2Web. We will share our findings and release the full leaderboard in a blog post on <https://engineering.rabbit.tech/> soon.
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### Preliminary Evaluation Results
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* Operation token F1 is calculated with respect to `cl100k_base`. We preprocess the text to be lower-case regardless of what the VLM outputs.
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* Raw VLM outputs are parsed in a similar fashion according to SeeAct, which we will explain in more detail in the blog post.
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* For all metrics, higher is better.
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| model | Step Success Rate | Task Success Rate | Operation Token F1 | Element Accuracy |
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|:---------------------------|:--------------------|:--------------------|:---------------------|:-------------------|
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| claude-3-5-sonnet-20240620 | **0.3847** | **0.0352** | **0.8104** | **0.5005** |
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| gemini-1.5-flash-001 | 0.3203 | 0.0300 | 0.7764 | 0.3861 |
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| claude-3-opus-20240229 | 0.3048 | 0.0141 | 0.8048 | 0.3720 |
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| claude-3-sonnet-20240229 | 0.2770 | 0.0282 | 0.7241 | 0.3528 |
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| gpt-4o | 0.2702 | 0.0211 | 0.6239 | 0.3602 |
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| gemini-1.5-pro-001 | 0.2191 | 0.0000 | 0.7151 | 0.3453 |
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| claude-3-haiku-20240307 | 0.2068 | 0.0000 | 0.7835 | 0.2577 |
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### Dataset Structure
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