π Rubric Generator Model
This model is fine-tuned to generate detailed grading rubrics when provided with:
- a question or prompt
- a sample answer
- the maximum marks for the question
It is designed for educators, examiners, and educational apps that require structured, point-wise rubrics for evaluating subjective answers.
π Model Details
- Architecture: Causal language model (e.g., GPT-style)
- Training Format: Supervised fine-tuning on question-answer-mark-rubric datasets
- Input Format:
Question: <your-question> Sample Answer: <your-answer> Total Marks: <max-marks>
* **Output**: A rubric in JSON format assigning marks to specific answer criteria
---
## π Example
**Input:**
```
Question: What are the advantages of using solar energy?
Sample Answer: Solar energy is renewable and reduces electricity bills. It's environmentally friendly and reduces reliance on fossil fuels.
Total Marks: 5
```
**Output:**
```json
{
"rubric": [
{ "criteria": "Mentions that solar energy is renewable", "max_marks": 1 },
{ "criteria": "Discusses cost-saving or reduction in electricity bills", "max_marks": 1 },
{ "criteria": "Highlights environmental friendliness", "max_marks": 1 },
{ "criteria": "Mentions reduced reliance on fossil fuels", "max_marks": 1 },
{ "criteria": "Answer clarity and overall relevance", "max_marks": 1 }
]
}
```
---
## π Training Data
The model was fine-tuned on a dataset of:
* Questions
* Sample answers
* Total marks
* Expert-designed rubrics in structured JSON format
This dataset is included in the accompanying [GitHub repository](https://github.com/yourusername/rubric-generator).
---
## π§ Intended Use
* Automated rubric generation for educational platforms
* Consistent scoring guidelines for subjective assessments
* Feedback generation tools for students and teachers
---
## β οΈ Limitations
* May not be optimized for highly domain-specific or creative writing assessments
* Requires sample answers to be reasonably well-formed to generate useful rubrics
* Rubric quality depends on clarity of the question and sample answer
---
## π License
This model is licensed under the [MIT License](LICENSE).
---
**Author**: Mrigank Singh
**Contact**: [email protected]
**Repository**: [GitHub - rubric-generator](https://github.com/Mrigank005/Rubric_Generator)
```
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