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Update README.md: Revise problem identifiers, solutions, and problem descriptions for clarity and accuracy

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  1. README.md +19 -19
README.md CHANGED
@@ -27,33 +27,32 @@ This dataset contains the 6 problems from the 2025 International Mathematical Ol
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  ## Dataset Structure
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  Each example contains:
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- - `url`: Problem identifier (e.g., "2025-imo-p1")
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  - `problem`: The problem statement with LaTeX mathematical notation
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- - `answer`: The solution (currently set to "N/A")
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  ## Problem Types
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  The dataset includes problems covering various mathematical areas:
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  1. **Problem 1**: Combinatorial geometry (sunny lines)
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- 2. **Problem 2**: Functional equations
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- 3. **Problem 3**: Number theory (perfect squares)
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- 4. **Problem 4**: Combinatorial game theory
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- 5. **Problem 5**: Number theory (primitive sets)
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- 6. **Problem 6**: Euclidean geometry
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  ## Mathematical Notation
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  Mathematical expressions are formatted using LaTeX:
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  - Variables and expressions: `$x$`, `$n \geq 3$`
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- - Display equations: `$$f(x^3 + y^3) = f(x + y)(x^2 - xy + y^2)$$`
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- - Sets: `$\mathbb{R}$`, `$S$`
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- - Special formatting: *sunny*, *primitive*
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  ## Files
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  - `imo_2025.json`: Full dataset in JSON format
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- - `imo_2025.jsonl`: Dataset in JSONL format (one problem per line)
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  - `README.md`: This file
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  ## Usage
@@ -66,12 +65,12 @@ dataset = load_dataset("lmms-lab/imo-2025")
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  # Access individual problems
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  for problem in dataset['train']:
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- print(f"Problem: {problem['url']}")
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  print(f"Statement: {problem['problem']}")
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  print()
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  ```
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- Or load directly from JSON/JSONL:
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  ```python
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  import json
@@ -80,11 +79,12 @@ import json
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  with open("imo_2025.json", "r") as f:
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  problems = json.load(f)
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- # Or load from JSONL
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- problems = []
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- with open("imo_2025.jsonl", "r") as f:
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- for line in f:
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- problems.append(json.loads(line))
 
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  ```
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  ## Citation
@@ -103,7 +103,7 @@ If you use this dataset in your research, please cite:
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  ## Source
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  Problems are from the 2025 International Mathematical Olympiad.
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- Original source: https://artofproblemsolving.com/wiki/index.php/2025_IMO_Problems
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  ## License
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  ## Dataset Structure
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  Each example contains:
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+ - `id`: Problem identifier (e.g., "2025-imo-p1")
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  - `problem`: The problem statement with LaTeX mathematical notation
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+ - `solution`: The solution (currently set to null)
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  ## Problem Types
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  The dataset includes problems covering various mathematical areas:
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  1. **Problem 1**: Combinatorial geometry (sunny lines)
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+ 2. **Problem 2**: Euclidean geometry (circles and triangles)
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+ 3. **Problem 3**: Number theory (bonza functions)
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+ 4. **Problem 4**: Number theory (proper divisors and sequences)
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+ 5. **Problem 5**: Game theory (inekoalaty game)
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+ 6. **Problem 6**: Combinatorial geometry (grid tiling)
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  ## Mathematical Notation
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  Mathematical expressions are formatted using LaTeX:
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  - Variables and expressions: `$x$`, `$n \geq 3$`
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+ - Display equations: `$$f(a) \text{ divides } b^a - f(b)^{f(a)}$$`
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+ - Sets: `$\mathbb{N}$`, `$\mathbb{R}$`
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+ - Special formatting: *sunny*, *bonza*, *proper divisor*, *inekoalaty game*
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  ## Files
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  - `imo_2025.json`: Full dataset in JSON format
 
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  - `README.md`: This file
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  ## Usage
 
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  # Access individual problems
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  for problem in dataset['train']:
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+ print(f"Problem: {problem['id']}")
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  print(f"Statement: {problem['problem']}")
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  print()
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  ```
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+ Or load directly from JSON:
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  ```python
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  import json
 
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  with open("imo_2025.json", "r") as f:
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  problems = json.load(f)
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+ # Access problems
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+ for problem in problems:
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+ print(f"ID: {problem['id']}")
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+ print(f"Problem: {problem['problem']}")
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+ print(f"Solution: {problem['solution']}")
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+ print()
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  ```
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  ## Citation
 
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  ## Source
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  Problems are from the 2025 International Mathematical Olympiad.
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+ Original source: https://www.imo-official.org/problems.aspx
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  ## License
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