---
pretty_name: OpenVisTool-Bench
license: other
language:
- en
task_categories:
- visual-question-answering
- image-to-text
tags:
- multimodal
- tool-use
- agentic-vision
- visual-reasoning
- gui-grounding
- web-to-html
size_categories:
- n<1K
configs:
- config_name: chart
  data_files:
  - split: test
    path: data/chart.jsonl
- config_name: table
  data_files:
  - split: test
    path: data/table.jsonl
- config_name: visual_search
  data_files:
  - split: test
    path: data/visual_search.jsonl
- config_name: gui_grounding
  data_files:
  - split: test
    path: data/gui_grounding.jsonl
- config_name: web_to_html
  data_files:
  - split: test
    path: data/web_to_html.jsonl
---

# OpenVisTool-Bench

OpenVisTool-Bench is a 559-example, five-domain benchmark for visual agents
that can call inspection and editing tools. All five configurations use the
`test` split.

## Configurations

| Configuration | Domain | Items | Metadata |
|---|---|---:|---|
| `chart` | Chart reasoning | 110 | `data/chart.jsonl` |
| `table` | Table reasoning | 126 | `data/table.jsonl` |
| `visual_search` | Fine-grained visual search | 106 | `data/visual_search.jsonl` |
| `gui_grounding` | GUI grounding | 117 | `data/gui_grounding.jsonl` |
| `web_to_html` | Web-to-HTML generation | 100 | `data/web_to_html.jsonl` |

The `visual_search` and `web_to_html` configurations are direct subsets of
existing public datasets, not newly authored evaluation data. Specifically,
all 106 Visual Search examples come from
[VisualProbe_Hard](https://huggingface.co/datasets/Mini-o3/VisualProbe_Hard), and all 100 Web-to-HTML tasks
come from the `Vision2Web-webpage` portion of
[Vision2Web](https://huggingface.co/datasets/zai-org/Vision2Web).

The metadata uses the layout consumed by the accompanying OpenVisTool
evaluation code. Every image path resolves as
`data/images/<source_dataset>/<images[i]>`. Each Web-to-HTML task also includes
its resource directory and `workflow.json` under the same source-dataset root.

## Source composition

| Configuration | Upstream source | Items |
|---|---|---:|
| `chart` | [CharXiv](https://huggingface.co/datasets/princeton-nlp/CharXiv) | 55 |
| `chart` | [ChartMuseum](https://huggingface.co/datasets/lytang/ChartMuseum) | 55 |
| `table` | [MMT-Bench](https://huggingface.co/datasets/Kaining/MMT-Bench) | 112 |
| `table` | [TableVQA-Bench](https://github.com/naver-ai/tablevqabench) | 14 |
| `visual_search` | [VisualProbe_Hard](https://mini-o3.github.io/) | 106 |
| `gui_grounding` | [ScreenSpot-Pro](https://huggingface.co/datasets/likaixin/ScreenSpot-Pro) | 117 |
| `web_to_html` | [Vision2Web-webpage](https://huggingface.co/datasets/zai-org/Vision2Web) | 100 |

The `source_dataset` field preserves the source label for every example.

## Upstream source and license review

| Source label | Canonical source | License |
|---|---|---|
| `CharXiv` | https://huggingface.co/datasets/princeton-nlp/CharXiv | CC BY-SA 4.0 |
| `ChartMuseum` | https://huggingface.co/datasets/lytang/ChartMuseum | CC BY-SA 4.0 |
| `MMTBench` | https://huggingface.co/datasets/Kaining/MMT-Bench | MIT |
| `TableVQA-Bench` | https://github.com/naver-ai/tablevqabench | MIT |
| `VisualProbe_Hard` | https://mini-o3.github.io/ | CC BY-NC 4.0 |
| `ScreenSpot-Pro` | https://huggingface.co/datasets/likaixin/ScreenSpot-Pro | MIT |
| `Vision2Web-webpage` | https://huggingface.co/datasets/zai-org/Vision2Web | CC BY-NC-SA 4.0 |