ONE-Lab/GUI-World
GUI-World: A Dataset for GUI-Orientated Multimodal Large Language Models Dataset: GUI-World Overview GUI-World introduces a comprehensive benchmark for evaluating MLLMs in dynamic and complex GUI environments. It features extensive annotations covering six GUI scenarios and eight types of GUI-oriented questions. The dataset assesses state-of-the-art ImageLLMs and VideoLLMs, highlighting their limitations in handling dynamic and multi-step tasks. It… See the full description on the dataset page: https://huggingface.co/datasets/ONE-Lab/GUI-World.
| Author / organization | ONE-Lab |
|---|---|
| Downloads | 6.5K (as reported by Hugging Face) |
| Likes | 45 |
| Created | 13 June 2024 |
| Last updated at source | 26 March 2025 |
Recent changes
- 16 Oct 2026 Description: GUI-World: A Dataset for GUI-Orientated Multimodal Large Language Models Dataset: GUI-World Overview GUI-World introduces a comprehensive benchmark for evaluating MLLMs in dynamic and complex GUI environments. It features extensive annotati → GUI-World: A Dataset for GUI-Orientated Multimodal Large Language Models Dataset: GUI-World Overview GUI-World introduces a comprehensive benchmark for evaluating MLLMs in dynamic and complex GUI environments. It features extensive annotati
Changes detected by Silytics between refreshes of the source.
More from ONE-Lab
- ONE-Lab/MultiRef-benchmarkDataset
- ONE-Lab/MLLM-as-a-JudgeDataset
- ONE-Lab/MultiRef-datasetDataset
- ONE-Lab/LiveVQA-newDataset
- ONE-Lab/egovid_skipframe_outputDataset
- ONE-Lab/MixSetDataset
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.