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README.md
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---
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language: en
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license: mit
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tags:
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- rubric-generation
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- education
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- fine-tuned
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- text-generation
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- gpt
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datasets:
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- custom
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widget:
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- text: >-
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Question: What are the benefits of regular exercise?
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Sample Answer: Regular exercise helps in weight management, improves
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cardiovascular health, and enhances mental well-being.
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Total Marks: 5
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base_model:
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- meta-llama/Llama-2-7b-chat-hf
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---
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# π Rubric Generator Model
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This model is fine-tuned to **generate detailed grading rubrics** when provided with:
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- a **question or prompt**
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- a **sample answer**
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- the **maximum marks** for the question
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It is designed for educators, examiners, and educational apps that require structured, point-wise rubrics for evaluating subjective answers.
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---
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## π Model Details
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- **Architecture**: Causal language model (e.g., GPT-style)
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- **Training Format**: Supervised fine-tuning on question-answer-mark-rubric datasets
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- **Input Format**:
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```plaintext
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Question: <your-question>
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Sample Answer: <your-answer>
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Total Marks: <max-marks>
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````
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* **Output**: A rubric in JSON format assigning marks to specific answer criteria
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---
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## π Example
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**Input:**
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```
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Question: What are the advantages of using solar energy?
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Sample Answer: Solar energy is renewable and reduces electricity bills. It's environmentally friendly and reduces reliance on fossil fuels.
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Total Marks: 5
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```
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**Output:**
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```json
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{
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"rubric": [
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{ "criteria": "Mentions that solar energy is renewable", "max_marks": 1 },
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{ "criteria": "Discusses cost-saving or reduction in electricity bills", "max_marks": 1 },
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{ "criteria": "Highlights environmental friendliness", "max_marks": 1 },
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{ "criteria": "Mentions reduced reliance on fossil fuels", "max_marks": 1 },
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{ "criteria": "Answer clarity and overall relevance", "max_marks": 1 }
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]
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}
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```
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---
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## π Training Data
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The model was fine-tuned on a dataset of:
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* Questions
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* Sample answers
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* Total marks
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* Expert-designed rubrics in structured JSON format
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This dataset is included in the accompanying [GitHub repository](https://github.com/yourusername/rubric-generator).
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---
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## π§ Intended Use
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* Automated rubric generation for educational platforms
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* Consistent scoring guidelines for subjective assessments
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* Feedback generation tools for students and teachers
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---
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## β οΈ Limitations
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* May not be optimized for highly domain-specific or creative writing assessments
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* Requires sample answers to be reasonably well-formed to generate useful rubrics
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* Rubric quality depends on clarity of the question and sample answer
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---
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## π License
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This model is licensed under the [MIT License](LICENSE).
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---
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**Author**: Mrigank Singh
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**Contact**: mriganksingh005@gmail.com
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**Repository**: [GitHub - rubric-generator](https://github.com/Mrigank005/Rubric_Generator)
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```
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