reasoning-degeneration-dev/wmc-sft-warmup-traces-v1
收藏Hugging Face2026-03-22 更新2026-03-29 收录
下载链接：
https://hf-mirror.com/datasets/reasoning-degeneration-dev/wmc-sft-warmup-traces-v1
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资源简介：
---
license: mit
tags:
- world-model-curiosity
- sft-warmup
- traces
---
# wmc-sft-warmup-traces-v1
SFT warmup traces formatted for agg_visualizer Model Trace tab. Browse baseline vs CPB responses side by side.
## Dataset Info
- **Rows**: 2400
- **Columns**: 7
## Columns
| Column | Type | Description |
|--------|------|-------------|
| condition | Value('string') | baseline or cpb |
| question | Value('string') | Countdown problem (user prompt) |
| system_prompt | Value('string') | System prompt for this condition |
| response | Value('string') | Full assistant response including <think> block |
| correct | Value('bool') | Whether the model solved correctly |
| confidence | Value('float64') | Annotated confidence (CPB only) |
| difficulty | Value('string') | easy/medium/hard |
## Generation Parameters
```json
{
"script_name": "generate_sft_data.py",
"model": "Qwen/Qwen3-1.7B",
"description": "SFT warmup traces formatted for agg_visualizer Model Trace tab. Browse baseline vs CPB responses side by side.",
"hyperparameters": {},
"input_datasets": []
}
```
## Experiment Documentation
For complete experiment details, see [https://github.com/Zayne-sprague/SC-Research-Notes/tree/main/experiments/world-model-curiosity](https://github.com/Zayne-sprague/SC-Research-Notes/tree/main/experiments/world-model-curiosity)
## Usage
```python
from datasets import load_dataset
dataset = load_dataset("reasoning-degeneration-dev/wmc-sft-warmup-traces-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
