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README.md
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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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## 📊 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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## 📊 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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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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```
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