| | --- |
| | license: apache-2.0 |
| | task_categories: |
| | - text-generation |
| | language: |
| | - en |
| | tags: |
| | - canis-teach |
| | - education |
| | - tutoring |
| | - math |
| | - synthetic |
| | - conversational |
| | size_categories: |
| | - 1K<n<10K |
| | --- |
| | |
| | # Canis.teach Math Dataset |
| |
|
| | Simple synthetic dataset for training Math tutoring models. |
| |
|
| | - **Project**: Canis.teach - Learning that fits. |
| | - **Subject**: Math |
| | - **Generated with**: [Canis.lab](https://github.com/crasyK/Canis.lab) |
| | - **Format**: Simple ID:content pairs |
| |
|
| | ## Dataset Structure |
| |
|
| | ```json |
| | { |
| | "id": "unique_identifier", |
| | "content": "tutoring conversation text" |
| | } |
| | ``` |
| |
|
| | This dataset contains educational conversations focused on Math topics, designed to teach effective tutoring behavior rather than just providing direct answers. |
| |
|
| | ## Usage |
| |
|
| | ```python |
| | from datasets import load_dataset |
| | |
| | dataset = load_dataset("CanisAI/teach-math-v1") |
| | ``` |
| |
|
| | ## Content |
| |
|
| | The conversations emphasize: |
| | - Step-by-step explanations |
| | - Pedagogical guidance |
| | - Encouraging learning through hints |
| | - Subject-appropriate teaching methods |
| |
|
| | ## License |
| |
|
| | Apache 2.0 |
| |
|
| | ## Related Models |
| |
|
| | | Repository | Description | |
| | |------------|-------------| |
| | | `CanisAI/teach-math-qwen3-4b-2507-r1` | LoRA adapters | |
| | | (Coming Soon) | Merged model | |
| | | (Coming Soon) | GGUF quantized | |
| |
|
| | --- |
| | **Canis.teach** - Learning that fits. |
| |
|
