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README.md

@@ -1,43 +1,56 @@
 ---
-dataset_info:
-  features:
-  - name: data_source
-    dtype: large_string
-  - name: prompt
-    list:
-    - name: content
-      dtype: string
-    - name: role
-      dtype: string
-  - name: ability
-    dtype: large_string
-  - name: reward_model
-    struct:
-    - name: ground_truth
-      dtype: string
-    - name: style
-      dtype: string
-  - name: extra_info
-    struct:
-    - name: difficulty
-      dtype: int64
-    - name: index
-      dtype: int64
-    - name: numbers
-      list: int64
-    - name: split
-      dtype: string
-    - name: target
-      dtype: int64
-  splits:
-  - name: train
-    num_bytes: 2632641
-    num_examples: 5000
-  download_size: 178758
-  dataset_size: 2632641
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
+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)*