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README.md
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license: apache-2.0
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---
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license: apache-2.0
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---
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# JEE Mains 2025 Math Evaluation Set
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## 🧾 Dataset Summary
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This dataset contains **475 math questions** from the **official JEE Mains 2025** examination, covering both **January** and **April** sessions. It is curated to benchmark mathematical reasoning models under high-stakes exam conditions.
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---
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## 🚀 How to Load the Dataset
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You can load the evaluation data using the `datasets` library from Hugging Face:
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```python
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from datasets import load_dataset
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# Load January session evaluation set
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jan_data = load_dataset("PhysicsWallahAI/JEE-Main-2025-Math", "jan", split="test")
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# Load April session evaluation set
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apr_data = load_dataset("PhysicsWallahAI/JEE-Main-2025-Math", "apr", split="test")
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```
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---
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## 📂 Dataset Structure
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Each sample is stored as a JSON object with the following fields:
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| Field Name | Type | Description |
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|--------------------|-----------|-----------------------------------------------------------------------------|
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| `question` | `string` | Math problem text (can include LaTeX) |
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| `answer` | `string` | Final answer (NAT or symbolic form) |
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| `question_type` | `int` | `0 = Numerical Answer Type`, `1 = Multiple Choice Question` |
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| `options` | `list` | List of answer choices (present only for MCQ) |
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| `correct_options` | `list` | Indices of correct options in `options[]` (for MCQ only) |
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| `additional_data` | `dict` | Placeholder for extended fields used during model training or evaluation. |
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| `metadata` | `dict` | Optional metadata providing contextual information about the question. |
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---
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## 📊 Dataset Statistics
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| Split | Papers | Questions |
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| ------------ | ------ | --------- |
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| January 2025 | 10 | 250 |
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| April 2025 | 9 | 225 |
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| **Total** | 19 | **475** |
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* **MCQs**: \~80%
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* **NATs**: \~20%
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---
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## 📥 Source
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All questions were sourced from **official JEE Mains 2025** mathematics papers publicly released by **NTA**. Answer keys were cross-verified with NTA final answer releases.
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---
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## 💼 Intended Uses
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* Benchmarking Indian math LLMs
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* Evaluating symbolic + numeric reasoning
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* Comparing SFT/RLHF/retrieval-based models on real exams
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---
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## ⚠️ Limitations
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* Limited to mathematics domain
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---
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## 📄 Citation
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```bibtex
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@misc{jee2025math,
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title = {JEE Mains 2025 Math Evaluation Set},
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author = {Physics Wallah AI Research},
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year = {2025},
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note = {Official JEE Mains 2025 math questions curated for evaluating educational language models},
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howpublished = {\url{https://huggingface.co/datasets/PhysicsWallahAI/JEE-Main-2025-Math}},
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}
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```
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