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  **Dataset Type**: Visual Language Reasoning · Graphical Reasoning · Benchmark Evaluation
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  ## 📊 Dataset Structure
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  ### Core Cognitive Dimensions & Task Types
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  | Cognitive Dimension | Task Type | Count |
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  **数据集类型**:视觉语言推理 · 图形推理 · 基准评估
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  ## 📊 数据结构
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  ### 核心认知维度与任务类型
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  | 认知维度 | 任务类型 | 数量 |
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  else:
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  print("请求失败,状态码:", response.status_code)
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  print("错误信息:", response.text)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ```
 
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  **Dataset Type**: Visual Language Reasoning · Graphical Reasoning · Benchmark Evaluation
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+ **Paper Link**:[https://arxiv.org/abs/2508.00323](https://arxiv.org/abs/2508.00323)
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+
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  ## 📊 Dataset Structure
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  ### Core Cognitive Dimensions & Task Types
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  | Cognitive Dimension | Task Type | Count |
 
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  **数据集类型**:视觉语言推理 · 图形推理 · 基准评估
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+ **论文地址**:[https://arxiv.org/abs/2508.00323](https://arxiv.org/abs/2508.00323)
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+
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  ## 📊 数据结构
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  ### 核心认知维度与任务类型
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  | 认知维度 | 任务类型 | 数量 |
 
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  else:
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  print("请求失败,状态码:", response.status_code)
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  print("错误信息:", response.text)
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+ ```
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+
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+ 如果需要引用,请引用下列内容
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+ ```
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+ {
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+ author = {Jianyi Zhang and Xu Ji and Ziyin Zhou and Yuchen Zhou and Shubo Shi and Haoyu Wu and Zhen Li and Shizhao Liu},
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+ title = {Oedipus and the Sphinx: Benchmarking and Improving Visual Language Models for Complex Graphic Reasoning},
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+ howpublished = {arXiv preprint},
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+ archivePrefix = {arXiv},
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+ eprint = {2508.00323},
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+ primaryClass = {cs.AI},
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+ year = {2025},
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+ note = {arXiv:2508.00323v1 [cs.AI]},
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+ url = {https://arxiv.org/abs/2508.00323}
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+ }
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  ```