| license: apache-2.0 | |
| task_categories: | |
| - text-generation | |
| - question-answering | |
| language: | |
| - en | |
| tags: | |
| - rp | |
| - roleplay | |
| - creative | |
| - creative writing | |
| - writing | |
| - deslop | |
| - prose | |
| - flesch | |
| - gemini | |
| # Qwill RP CreativeWriting Reasoning Dataset | |
| ## 📝 Dataset Summary | |
| **Qwill-RP-CreativeWriting-Reasoning** is a creative writing dataset focused on structured reasoning. Each row contains a fictional or narrative prompt sourced from [`nothingiisreal/Reddit-Dirty-And-WritingPrompts`](https://huggingface.co/datasets/nothingiisreal/Reddit-Dirty-And-WritingPrompts), along with an AI-generated response that includes: | |
| - **Reasoning**, wrapped in `<think>...</think>` | |
| - **Final Answer**, wrapped in `<answer>...</answer>` | |
| The goal is to train or evaluate models on chain-of-thought prompting within creative or storytelling domains. | |
| --- | |
| ## 📊 Dataset Preview | |
| - **Total Rows:** ~3,000 | |
| - **Columns:** | |
| - `prompt`: The prompt given to the model. | |
| - `model_used`: The model that generated the response. | |
| - `gemini`: The structured response, with reasoning and final answer. | |
| - `temperature`: Temperature used in generation (randomly sampled, 0.1–1.2). | |
| - `top_k`: Top-k value used (sampled from: 20, 40, 50, 64, 80, 90, 100). | |
| - `top_p`: Top-p value used (sampled from: 0.8, 0.85, 0.9, 0.95, 1.0). | |
| --- | |
| ## ⚙️ Generation Methodology | |
| We employed **random sampling** of generation parameters to avoid overly deterministic or excessively creative outputs: | |
| - **Temperature:** Sampled from a continuous range between `0.1` and `1.3`. | |
| - **Top-k:** Randomly chosen from `[20, 40, 50, 64, 80, 90, 100]`. | |
| - **Top-p:** Randomly chosen from `[0.8, 0.85, 0.9, 0.95, 1.0]`. | |
| This encourages stylistic and logical variety across responses while maintaining narrative relevance and coherence. | |
| --- | |
| ## 🎯 Purpose | |
| The dataset aims to: | |
| - Explore creative generation grounded in step-by-step reasoning. | |
| - Provide training material for models that simulate internal thought before output. | |
| - Serve as a benchmark or augmentation resource for CoT (Chain of Thought) based generation tasks. | |
| --- | |
| ## ⚠️ Limitations | |
| - Prompts were inherited from a public Reddit-based dataset, and may include adult or NSFW content. Filtering is advised for sensitive applications. | |
| --- | |
| ## 💡 Use Cases | |
| - Fine-tuning or evaluating models on **reasoning-augmented creative generation**. | |
| - Developing **storytelling models** with logical structure. | |
| - Research in **narrative reasoning** and **step-by-step AI output planning**. | |
| --- |
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