reasoning-degeneration-dev/ttt-discover-circle_packing_24-qwen3-8b

---
license: mit
tags:
- ttt-discover
- test-time-training
- qwen3-8b
- you-are-an-expert-mathematicia
---

# ttt-discover-circle_packing_24-qwen3-8b

TTT-Discover training trace: Qwen/Qwen3-8B on 'You are an expert mathematician specializing in circle packing problems and comp'

## Dataset Info

- **Rows**: 17
- **Columns**: 13

## Columns

| Column | Type | Description |
|--------|------|-------------|
| run_id | Value('string') | Unique run identifier |
| model | Value('string') | Full model name |
| question | Value('string') | Prompt template (contains __STATE_CTX__ placeholder for PUCT injection) |
| answer | Value('string') | Target value string |
| epoch | Value('int64') | *No description provided* |
| group_size | Value('int64') | Rollouts per group |
| avg_reward | Value('float64') | Mean reward across all rollouts |
| best_reward | Value('float64') | Max reward across all rollouts |
| loss | Value('float64') | Policy gradient training loss |
| reward_delta | Value('float64') | Change in avg_reward from previous step |
| rollouts | Value('string') | *No description provided* |
| config | Value('string') | JSON hyperparameters |
| timestamp | Value('string') | ISO timestamp |

## Generation Parameters

```json
{
"script_name": "scripts/run_ttt_discover.py",
"model": "Qwen/Qwen3-8B",
"description": "TTT-Discover training trace: Qwen/Qwen3-8B on 'You are an expert mathematician specializing in circle packing problems and comp'",
"hyperparameters": {
"task_id": "circle_packing_24",
"num_steps": 50,
"group_size": 64,
"num_groups": 8,
"total_rollouts": 512,
"lr": 4e-05,
"lora_rank": 32,
"lora_alpha": 64,
"temperature": 1.0,
"max_tokens": 15000,
"seed": 42,
"start_step": 15,
"resume_from": "/mnt/home/zsprague/code/JobToolKit/discover_output/circle_packing_24/lora_step_14"
},
"input_datasets": []
}
```

## Usage

```python
from datasets import load_dataset

dataset = load_dataset("reasoning-degeneration-dev/ttt-discover-circle_packing_24-qwen3-8b", 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)*