reasoning-degeneration-dev/sdc-avg-gradient-chart-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-avg-gradient-chart-v1
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资源简介：
---
license: mit
tags:
- semantic-distance-coding
- chart
- averaged
- all-tiers
---
# sdc-avg-gradient-chart-v1
TIOBE popularity vs average pass@1 across all 4 EsoLang-Bench tiers, mainstream + esoteric baselines
## 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": "manual (averaged results)",
"model": "gpt-5-2",
"description": "TIOBE popularity vs average pass@1 across all 4 EsoLang-Bench tiers, mainstream + esoteric baselines",
"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-avg-gradient-chart-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)*
提供机构：
reasoning-degeneration-dev
