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README.md

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+---
+dataset_info:
+  features:
+  - name: url
+    dtype: string
+  - name: problem
+    dtype: string
+  - name: answer
+    dtype: string
+  splits:
+  - name: train
+    num_examples: 6
+license: mit
+language:
+- en
+tags:
+- mathematics
+- olympiad
+- problem-solving
+- competition-math
+---
+
+# IMO 2025 Problems Dataset
+
+This dataset contains the 6 problems from the 2025 International Mathematical Olympiad (IMO). The problems are formatted with proper LaTeX notation for mathematical expressions.
+
+## Dataset Structure
+
+Each example contains:
+- `url`: Problem identifier (e.g., "2025-imo-p1")
+- `problem`: The problem statement with LaTeX mathematical notation
+- `answer`: The solution (currently set to "N/A")
+
+## Problem Types
+
+The dataset includes problems covering various mathematical areas:
+
+1. **Problem 1**: Combinatorial geometry (sunny lines)
+2. **Problem 2**: Functional equations
+3. **Problem 3**: Number theory (perfect squares)
+4. **Problem 4**: Combinatorial game theory
+5. **Problem 5**: Number theory (primitive sets)
+6. **Problem 6**: Euclidean geometry
+
+## Mathematical Notation
+
+Mathematical expressions are formatted using LaTeX:
+- Variables and expressions: `$x$`, `$n \geq 3$`
+- Display equations: `$$f(x^3 + y^3) = f(x + y)(x^2 - xy + y^2)$$`
+- Sets: `$\mathbb{R}$`, `$S$`
+- Special formatting: *sunny*, *primitive*
+
+## Files
+
+- `imo_2025.json`: Full dataset in JSON format
+- `imo_2025.jsonl`: Dataset in JSONL format (one problem per line)
+- `README.md`: This file
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+# Load the dataset
+dataset = load_dataset("lmms-lab/imo-2025")
+
+# Access individual problems
+for problem in dataset['train']:
+    print(f"Problem: {problem['url']}")
+    print(f"Statement: {problem['problem']}")
+    print()
+```
+
+Or load directly from JSON/JSONL:
+
+```python
+import json
+
+# Load from JSON
+with open("imo_2025.json", "r") as f:
+    problems = json.load(f)
+
+# Or load from JSONL
+problems = []
+with open("imo_2025.jsonl", "r") as f:
+    for line in f:
+        problems.append(json.loads(line))
+```
+
+## Citation
+
+If you use this dataset in your research, please cite:
+
+```bibtex
+@dataset{imo2025,
+  title={IMO 2025 Problems Dataset},
+  author={LMMS Lab},
+  year={2025},
+  url={https://huggingface.co/datasets/lmms-lab/imo-2025}
+}
+```
+
+## Source
+
+Problems are from the 2025 International Mathematical Olympiad.
+Original source: https://artofproblemsolving.com/wiki/index.php/2025_IMO_Problems
+
+## License
+
+This dataset is released under the MIT License.