iMeanAI/GAE-Bench-lite
GUI Agents Embedding Benchmark - Lite (GAE-Bench-Lite) This dataset is designed for evaluating the performance of visual large language models (VLLMs) in the context of GUI agent tasks. The lite version is a subset of the original data up to 10 steps, specifically designed for training and evaluation. Retrieval Task Definition Action template: TiT_iTi (only include mentioned actions in WWW) Workflow (complete or partitial): W={Ti,(s0,a0),…,(si,ai),…,(sn,an)}W =… See the full description on the dataset page: https://huggingface.co/datasets/iMeanAI/GAE-Bench-lite.
| Author / organization | iMeanAI |
|---|---|
| Downloads | 211 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 5 May 2025 |
| Last updated at source | 5 May 2025 |
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211 now (+1 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: GUI Agents Embedding Benchmark - Lite (GAE-Bench-Lite) This dataset is designed for evaluating the performance of visual large language models (VLLMs) in the context of GUI agent tasks. The lite version is a subset of the original data up t → GUI Agents Embedding Benchmark - Lite (GAE-Bench-Lite) This dataset is designed for evaluating the performance of visual large language models (VLLMs) in the context of GUI agent tasks. The lite version is a subset of the original data up t
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More from iMeanAI
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Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.