Add comprehensive dataset card with statistics

README.md

@@ -1,23 +1,113 @@
 ---
-dataset_info:
-  features:
-  - name: post_text
-    dtype: string
-  - name: post_title
-    dtype: string
-  - name: comment_texts
-    list: string
-  - name: num_stories
-    dtype: int64
-  splits:
-  - name: train
-    num_bytes: 1547181967
-    num_examples: 199248
-  download_size: 927264034
-  dataset_size: 1547181967
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
+license: mit
+task_categories:
+- text-generation
+language:
+- en
+tags:
+- writing
+- stories
+- creative-writing
+- reddit
+size_categories:
+- 10K<n<100K
 ---
+
+# WritingPrompts Filtered Dataset (LitBench Decontaminated)
+
+## Dataset Description
+
+This dataset contains filtered and decontaminated WritingPrompts from Reddit, specifically processed to remove any overlap with the LitBench test set. This ensures clean training data for language models without test set contamination.
+
+## Processing Statistics
+
+Generated: 2025-09-12
+
+### Dataset Size
+- **Original dataset**: 265174 entries
+- **After decontamination**: 199,248 entries
+- **Contamination removed**: 63159 entries
+- **Retention rate**: 75.14%
+
+### Contamination Analysis
+- **Total contaminated entries**: 63159
+- **Contaminated by post_title only**: 12123
+- **Contaminated by post_text only**: 49671
+- **Contaminated by both fields**: 1365
+
+### Story Quality Filtering
+- **Total comments processed**: 644817
+- **Valid stories kept**: 524110
+- **Non-stories filtered**: 120707
+
+## Dataset Structure
+
+Each entry contains:
+- `post_text`: The original writing prompt text
+- `post_title`: The title of the prompt (often contains [WP] tag)
+- `comment_texts`: List of story responses to the prompt
+- `num_stories`: Number of valid stories for this prompt
+
+## Decontamination Method
+
+This dataset was processed using multiple contamination detection methods:
+1. **Exact matching**: Direct string comparison with LitBench prompts
+2. **Substring matching**: Detecting if LitBench prompts appear within WritingPrompts
+3. **Reverse containment**: Checking if WritingPrompts text contains LitBench prompts
+
+## Source Datasets
+
+- **Original source**: [euclaise/WritingPrompts_preferences](https://huggingface.co/datasets/euclaise/WritingPrompts_preferences)
+- **Contamination reference**: [SAA-Lab/LitBench-Train](https://huggingface.co/datasets/SAA-Lab/LitBench-Train)
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+# Load the dataset
+dataset = load_dataset("RLAIF/WritingPrompts-Filtered")
+
+# Access a prompt and its stories
+example = dataset['train'][0]
+prompt_title = example['post_title']
+prompt_text = example['post_text']
+stories = example['comment_texts']
+```
+
+## Intended Use
+
+This dataset is intended for:
+- Training creative writing models
+- Fine-tuning language models for story generation
+- Research on narrative structure and creative writing
+- RLAIF (Reinforcement Learning from AI Feedback) experiments
+
+## Limitations
+
+- Stories are from Reddit and may contain informal language
+- Quality varies as these are community-contributed stories
+- Some stories may reference Reddit-specific culture or memes
+- Decontamination focused on LitBench; other test sets not considered
+
+## Processing Code
+
+The code used to process this dataset is available at: [synthLabs](https://github.com/RLAIF/synthLabs)
+
+## Citation
+
+If you use this dataset, please cite:
+
+```bibtex
+@dataset{writingprompts_filtered_2024,
+  title={WritingPrompts Filtered Dataset (LitBench Decontaminated)},
+  author={RLAIF Team},
+  year={2024},
+  publisher={Hugging Face},
+  url={https://huggingface.co/datasets/RLAIF/WritingPrompts-Filtered}
+}
+```
+
+## License
+
+This dataset is released under the MIT License. The original Reddit content follows Reddit's terms of service.