reasoning-degeneration-dev/sdc-gradient-chart-hard-v1
收藏Hugging Face2026-03-25 更新2026-03-29 收录
下载链接:
https://hf-mirror.com/datasets/reasoning-degeneration-dev/sdc-gradient-chart-hard-v1
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资源简介:
---
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*
提供机构:
reasoning-degeneration-dev



