README.md

---
license: mit
tags:
- multiplex-thinking
- countdown
- input-data
---

# multiplex-countdown-train-data-v1

Countdown d4-d5 training data for multiplex-thinking-countdown experiment. 5000 problems with 5 numbers, targets 100-500, minimum 2 operations required.

## Dataset Info

- **Rows**: 5000
- **Columns**: 5

## Columns

| Column | Type | Description |
|--------|------|-------------|
| data_source | Value('large_string') | Task source identifier (countdown) |
| prompt | List({'content': Value('string'), 'role': Value('string')}) | Chat-formatted prompt with system + user messages |
| ability | Value('large_string') | Task ability type |
| reward_model | {'ground_truth': Value('string'), 'style': Value('string')} | Ground truth info for reward calculation |
| extra_info | {'difficulty': Value('int64'), 'index': Value('int64'), 'numbers': List(Value('int64')), 'split': Value('string'), 'target': Value('int64')} | Additional metadata (target number, available numbers) |


## Generation Parameters

```json
{
  "script_name": "generate_countdown_data.py",
  "description": "Countdown d4-d5 training data for multiplex-thinking-countdown experiment. 5000 problems with 5 numbers, targets 100-500, minimum 2 operations required.",
  "model": "deepseek-ai/DeepSeek-R1-Distill-Qwen-7B",
  "hyperparameters": {},
  "input_datasets": []
}
```

## Experiment Documentation

For complete experiment details, see [https://github.com/Zayne-sprague/SC-Research-Notes/tree/main/experiments/multiplex-thinking-countdown](https://github.com/Zayne-sprague/SC-Research-Notes/tree/main/experiments/multiplex-thinking-countdown)

## Usage

```python
from datasets import load_dataset

dataset = load_dataset("reasoning-degeneration-dev/multiplex-countdown-train-data-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)*