| | --- |
| | license: mit |
| | task_categories: |
| | - conversational |
| | - question-answering |
| | language: |
| | - en |
| | tags: |
| | - socratic-method |
| | - philosophy |
| | - education |
| | - critical-thinking |
| | - dialogue |
| | size_categories: |
| | - 1K<n<10K |
| | configs: |
| | - config_name: default |
| | data_files: |
| | - split: train |
| | path: train.jsonl |
| | dataset_info: |
| | features: |
| | - name: messages |
| | list: |
| | - name: role |
| | dtype: string |
| | - name: content |
| | dtype: string |
| | splits: |
| | - name: train |
| | num_bytes: 2500000 |
| | num_examples: 5000 |
| | download_size: 2500000 |
| | dataset_size: 2500000 |
| | --- |
| | |
| | # Socratic Method Conversations Dataset |
| |
|
| | ## Overview |
| |
|
| | This dataset contains **5,000 question-answer pairs** that demonstrate the Socratic method of teaching through guided questioning. The dataset has been carefully cleaned to remove all romantic and potentially inappropriate content, making it suitable for educational applications. |
| |
|
| | ## Dataset Description |
| |
|
| | The Socratic method is a form of inquiry and discussion between individuals, based on asking and answering questions to stimulate critical thinking and draw out ideas and underlying presuppositions. This dataset provides examples of how to apply this method in conversational AI. |
| |
|
| | ### Key Features |
| |
|
| | - **5,000 unique conversation pairs** |
| | - **Clean, educational content** - no romantic or vulgar references |
| | - **Proper Socratic structure** - questions guide discovery rather than providing direct answers |
| | - **150+ philosophical concepts** covered across ethics, morality, personal development, and more |
| | - **Multiple questioning techniques** including definitional inquiry, experiential connection, and assumption examination |
| |
|
| | ## Dataset Structure |
| |
|
| | Each entry follows this format: |
| |
|
| | ```json |
| | { |
| | "messages": [ |
| | { |
| | "role": "user", |
| | "content": "What is justice?" |
| | }, |
| | { |
| | "role": "assistant", |
| | "content": "When you think about justice, what comes to mind? Can you recall a time when you witnessed something you considered just or unjust? What made it feel that way to you?" |
| | } |
| | ] |
| | } |
| | ``` |
| |
|
| | ## Content Coverage |
| |
|
| | ### Philosophical Concepts (150+ unique concepts) |
| | - **Ethics & Morality**: justice, responsibility, integrity, honesty, dignity |
| | - **Personal Development**: wisdom, courage, perseverance, discipline, humility |
| | - **Social Values**: equality, community, cooperation, leadership, tolerance |
| | - **Abstract Ideas**: consciousness, identity, purpose, time, reality |
| | - **Human Experience**: growth, change, challenge, opportunity, creativity |
| | - **Relationships**: friendship, trust, respect, empathy, compassion |
| | - **Knowledge & Learning**: education, understanding, curiosity, awareness |
| |
|
| | ### Socratic Techniques Used |
| | - **Definitional inquiry**: "What comes to mind when you think about X?" |
| | - **Experiential connection**: "How do you recognize X in your daily life?" |
| | - **Comparative analysis**: "How do you distinguish X from similar concepts?" |
| | - **Assumption examination**: "What assumptions do people make about X?" |
| | - **Consequence exploration**: "What would happen if X were absent?" |
| | - **Personal relevance**: "How does X relate to your own values?" |
| |
|
| | ## Usage Applications |
| |
|
| | ### Educational Settings |
| | - **Philosophy courses**: Teaching Socratic dialogue techniques |
| | - **Critical thinking programs**: Developing analytical skills |
| | - **Ethics education**: Exploring moral and ethical concepts |
| | - **Teacher training**: Demonstrating inquiry-based learning |
| |
|
| | ### AI Training |
| | - **Conversational AI**: Teaching models to use Socratic questioning |
| | - **Educational chatbots**: Creating AI tutors that guide rather than tell |
| | - **Critical thinking AI**: Developing systems that promote deep reflection |
| | - **Philosophical AI**: Training models in philosophical inquiry methods |
| |
|
| | ## Quality Assurance |
| |
|
| | ### Content Standards |
| | - ✅ **No romantic content**: All references removed and replaced |
| | - ✅ **No vulgar content**: Clean, educational language throughout |
| | - ✅ **Age-appropriate**: Suitable for all educational levels |
| | - ✅ **Culturally neutral**: Concepts applicable across cultures |
| |
|
| | ### Educational Standards |
| | - ✅ **Proper Socratic structure**: Questions guide discovery, not direct answers |
| | - ✅ **Critical thinking focus**: Encourages analysis and reflection |
| | - ✅ **Conceptual depth**: Covers fundamental philosophical and ethical concepts |
| | - ✅ **Engagement**: Questions are thought-provoking and personally relevant |
| |
|
| | ## Dataset Statistics |
| |
|
| | - **Unique concepts**: 150+ |
| | - **Question variations**: 20 different patterns |
| | - **Response templates**: 15 different Socratic approaches |
| | - **Average questions per response**: 2.8 |
| | - **Concept coverage**: Comprehensive across major philosophical domains |
| | - **Duplicate rate**: 0% (all entries unique) |
| |
|
| | ## Citation |
| |
|
| | If you use this dataset in your research or applications, please cite: |
| |
|
| | ``` |
| | @dataset{socratic_method_conversations_2024, |
| | title={Socratic Method Conversations Dataset}, |
| | author={Sanjay Pant}, |
| | year={2024}, |
| | publisher={Hugging Face}, |
| | url={https://huggingface.co/datasets/sanjaypantdsd/socratic-method-conversations} |
| | } |
| | ``` |
| |
|
| | ## License |
| |
|
| | This dataset is released under the MIT License, making it freely available for both academic and commercial use. |
| |
|
| | ## Contact |
| |
|
| | For questions or feedback about this dataset, please open an issue in the repository or contact the author through Hugging Face. |
| |
|
