Cite OpenVisTool paper
Browse files
README.md
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## Upstream source and license review
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| Source label | Canonical source | License |
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|---|---|---|
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| `CharXiv` | https://huggingface.co/datasets/princeton-nlp/CharXiv | CC BY-SA 4.0 |
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## Upstream source and license review
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| Source label | Canonical source | License |
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|---|---|---|
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| `CharXiv` | https://huggingface.co/datasets/princeton-nlp/CharXiv | CC BY-SA 4.0 |
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| `ChartMuseum` | https://huggingface.co/datasets/lytang/ChartMuseum | CC BY-SA 4.0 |
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| `MMTBench` | https://huggingface.co/datasets/Kaining/MMT-Bench | MIT |
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| `TableVQA-Bench` | https://github.com/naver-ai/tablevqabench | MIT |
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| `VisualProbe_Hard` | https://mini-o3.github.io/ | CC BY-NC 4.0 |
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| `ScreenSpot-Pro` | https://huggingface.co/datasets/likaixin/ScreenSpot-Pro | MIT |
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| `Vision2Web-webpage` | https://huggingface.co/datasets/zai-org/Vision2Web | CC BY-NC-SA 4.0 |
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## Citation
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This repository accompanies [OpenVisTool: An Open Recipe for Synthesizing Instructive Visual Tool-Use Trajectories](https://arxiv.org/abs/2608.08557).
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---
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pretty_name: OpenVisTool-Bench
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license: other
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language:
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- en
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task_categories:
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- visual-question-answering
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- image-to-text
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tags:
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- multimodal
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- tool-use
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- agentic-vision
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- visual-reasoning
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- gui-grounding
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- web-to-html
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size_categories:
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- n<1K
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configs:
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- config_name: chart
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data_files:
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- split: test
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path: data/chart.jsonl
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- config_name: table
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data_files:
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- split: test
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path: data/table.jsonl
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- config_name: visual_search
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data_files:
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- split: test
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path: data/visual_search.jsonl
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- config_name: gui_grounding
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data_files:
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- split: test
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path: data/gui_grounding.jsonl
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- config_name: web_to_html
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data_files:
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- split: test
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path: data/web_to_html.jsonl
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---
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# OpenVisTool-Bench
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OpenVisTool-Bench is a 559-example, five-domain benchmark for visual agents
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that can call inspection and editing tools. All five configurations use the
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`test` split.
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## Configurations
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| Configuration | Domain | Items | Metadata |
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|---|---|---:|---|
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| `chart` | Chart reasoning | 110 | `data/chart.jsonl` |
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| `table` | Table reasoning | 126 | `data/table.jsonl` |
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| `visual_search` | Fine-grained visual search | 106 | `data/visual_search.jsonl` |
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| `gui_grounding` | GUI grounding | 117 | `data/gui_grounding.jsonl` |
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| `web_to_html` | Web-to-HTML generation | 100 | `data/web_to_html.jsonl` |
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The `visual_search` and `web_to_html` configurations are direct subsets of
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existing public datasets, not newly authored evaluation data. Specifically,
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all 106 Visual Search examples come from
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[VisualProbe_Hard](https://huggingface.co/datasets/Mini-o3/VisualProbe_Hard), and all 100 Web-to-HTML tasks
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come from the `Vision2Web-webpage` portion of
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[Vision2Web](https://huggingface.co/datasets/zai-org/Vision2Web).
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The metadata uses the layout consumed by the accompanying OpenVisTool
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evaluation code. Every image path resolves as
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`data/images/<source_dataset>/<images[i]>`. Each Web-to-HTML task also includes
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its resource directory and `workflow.json` under the same source-dataset root.
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## Source composition
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| Configuration | Upstream source | Items |
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|---|---|---:|
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| `chart` | [CharXiv](https://huggingface.co/datasets/princeton-nlp/CharXiv) | 55 |
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| `chart` | [ChartMuseum](https://huggingface.co/datasets/lytang/ChartMuseum) | 55 |
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| `table` | [MMT-Bench](https://huggingface.co/datasets/Kaining/MMT-Bench) | 112 |
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| `table` | [TableVQA-Bench](https://github.com/naver-ai/tablevqabench) | 14 |
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| `visual_search` | [VisualProbe_Hard](https://mini-o3.github.io/) | 106 |
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| `gui_grounding` | [ScreenSpot-Pro](https://huggingface.co/datasets/likaixin/ScreenSpot-Pro) | 117 |
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| `web_to_html` | [Vision2Web-webpage](https://huggingface.co/datasets/zai-org/Vision2Web) | 100 |
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The `source_dataset` field preserves the source label for every example.
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## Upstream source and license review
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| Source label | Canonical source | License |
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|---|---|---|
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| `CharXiv` | https://huggingface.co/datasets/princeton-nlp/CharXiv | CC BY-SA 4.0 |
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