Datasetpublic

reasoning-degeneration-dev/multiplex-countdown-train-data-v1

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… See the full description on the dataset page: https://huggingface.co/datasets/reasoning-degeneration-dev/multiplex-countdown-train-data-v1.

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Dataset Card

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

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)