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--- |
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license: apache-2.0 |
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configs: |
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- config_name: jan |
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data_files: |
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- split: test |
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path: main2025-jan.jsonl |
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- config_name: apr |
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data_files: |
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- split: test |
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path: main2025-apr.jsonl |
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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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``` |
