reasoning-degeneration-dev/sdc-combined-gradient-v1
收藏Hugging Face2026-03-26 更新2026-03-29 收录
下载链接:
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*
提供机构:
reasoning-degeneration-dev



