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reasoning-degeneration-dev/sdc-combined-gradient-v1

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Hugging Face2026-03-26 更新2026-03-29 收录
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https://hf-mirror.com/datasets/reasoning-degeneration-dev/sdc-combined-gradient-v1
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资源简介:
--- license: mit tags: - semantic-distance-coding - chart - final --- # sdc-combined-gradient-v1 Final gradient chart — 15 mainstream + 5 esoteric, all 4 tiers ## Dataset Info - **Rows**: 1 - **Columns**: 3 ## Columns | Column | Type | Description | |--------|------|-------------| | image | Image(mode=None, decode=True) | Chart PNG | | caption | Value('string') | Description | | name | Value('string') | Chart ID | ## Generation Parameters ```json { "script_name": "final combined", "model": "gpt-5-2", "description": "Final gradient chart \u2014 15 mainstream + 5 esoteric, all 4 tiers", "experiment_id": "semantic-distance-coding", "artifact_type": "processed_data", "visualizer_type": "image", "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-combined-gradient-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协议 标签: - 语义距离编码(semantic-distance-coding) - 图表(chart) - 最终版(final) --- # sdc-combined-gradient-v1 ## 最终梯度图表——涵盖15种主流类型与5种小众类型,覆盖全部4个层级 ## 数据集信息 - **行数**:1 - **列数**:3 ## 列信息 | 列名 | 数据类型 | 描述 | |--------|------|-------------| | image | 图像(Image(mode=None, decode=True)) | 图表PNG文件 | | caption | 字符串值(Value('string')) | 图表说明文本 | | name | 字符串值(Value('string')) | 图表标识符(ID) | ## 生成参数 json { "script_name": "最终组合", "model": "gpt-5-2", "description": "最终梯度图表——涵盖15种主流类型与5种小众类型,覆盖全部4个层级", "experiment_id": "语义距离编码(semantic-distance-coding)", "artifact_type": "已处理数据", "visualizer_type": "图像", "hyperparameters": {}, "input_datasets": [] } ## 实验文档 如需获取完整实验细节,请访问 [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-combined-gradient-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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