iMeanAI/GAE-Bench

GUI Agents Embedding Benchmark (GAE-Bench) This dataset is designed for evaluating the performance of visual large language models (VLLMs) in the context of GUI agent tasks. 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 = \{T_i, (s_0, a_0), \ldots, (s_i, a_i), \ldots, (s_n, a_n)\}W={Ti​,(s0​,a0​),…,(si​,ai​),…,(sn​,an​)} State sis_isi​: visual… See the full description on the dataset page: https://huggingface.co/datasets/iMeanAI/GAE-Bench.

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