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reasoning-degeneration-dev/sdc-gradient-chart-hard-v1

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Hugging Face2026-03-25 更新2026-03-29 收录
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https://hf-mirror.com/datasets/reasoning-degeneration-dev/sdc-gradient-chart-hard-v1
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--- license: mit tags: - semantic-distance-coding - chart - hard --- # sdc-gradient-chart-hard-v1 Gradient chart and heatmap images — Hard tier ## Dataset Info - **Rows**: 2 - **Columns**: 3 ## Columns | Column | Type | Description | |--------|------|-------------| | image | Image(mode=None, decode=True) | Chart image (PNG) | | caption | Value('string') | Chart description | | name | Value('string') | Chart identifier | ## Generation Parameters ```json { "script_name": "run_hard_zero_shot.py", "model": "gpt-5-2", "description": "Gradient chart and heatmap images \u2014 Hard tier", "tier": "hard", "hyperparameters": {}, "input_datasets": [] } ``` ## Experiment Documentation For complete experiment details, see [https://github.com/Zayne-sprague/SC-Research-Notes/tree/main/experiments/semantic-distance-coding](https://github.com/Zayne-sprague/SC-Research-Notes/tree/main/experiments/semantic-distance-coding) ## Usage ```python from datasets import load_dataset dataset = load_dataset("reasoning-degeneration-dev/sdc-gradient-chart-hard-v1", split="train") print(f"Loaded {len(dataset)} rows") ``` --- *This dataset is tracked in [reasoning-degeneration-dev/PROJECT-MANIFEST](https://huggingface.co/datasets/reasoning-degeneration-dev/PROJECT-MANIFEST)*

许可证:MIT 标签: - 语义距离编码(semantic-distance-coding) - 图表 - 高难度 # sdc-gradient-chart-hard-v1 梯度图表与热力图图像——高难度分级 ## 数据集信息 - **数据行数**:2 - **数据列数**:3 ## 数据列说明 | 列名 | 数据类型 | 描述 | |--------|------|-------------| | image | 图像(模式未指定,已解码) | 图表图像(PNG格式) | | caption | 字符串值 | 图表描述文本 | | name | 字符串值 | 图表唯一标识符 | ## 生成参数 json { "script_name": "run_hard_zero_shot.py", "model": "gpt-5-2", "description": "梯度图表与热力图图像——高难度分级", "tier": "hard", "hyperparameters": {}, "input_datasets": [] } ## 实验文档 如需获取完整实验细节,请参阅 [https://github.com/Zayne-sprague/SC-Research-Notes/tree/main/experiments/semantic-distance-coding](https://github.com/Zayne-sprague/SC-Research-Notes/tree/main/experiments/semantic-distance-coding) ## 使用方法 python from datasets import load_dataset dataset = load_dataset("reasoning-degeneration-dev/sdc-gradient-chart-hard-v1", split="train") print(f"已加载 {len(dataset)} 条数据") *本数据集已在 [reasoning-degeneration-dev/PROJECT-MANIFEST](https://huggingface.co/datasets/reasoning-degeneration-dev/PROJECT-MANIFEST) 中完成追踪*
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