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  1. README.md +24 -2
  2. dataset.json +0 -0
  3. dataset.jsonl +0 -0
  4. dataset.parquet +2 -2
  5. dataset_info.json +4 -3
README.md CHANGED
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  # Rush Hour 4x4 Evaluation Dataset
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- This dataset contains 4x4 Rush Hour puzzles for model evaluation.
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  ## Format
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  - **prompt**: Full formatted prompt as used in model inference
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  - **solution**: Optimal solution with proper formatting
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  - **optimal_moves**: Number of moves in optimal solution
 
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  ## Usage
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  - **dataset.json**: Complete JSON array format (150 entries)
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  - **dataset_info.json**: Dataset metadata
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- Note: CSV format was excluded as it doesn't handle multi-line prompts/solutions well.
 
 
 
 
 
 
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+ ---
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+ license: mit
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+ task_categories:
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+ - question-answering
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+ language:
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+ - en
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+ size_categories:
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+ - 100<n<1K
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+ tags:
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+ - puzzle
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+ - reasoning
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+ - evaluation
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+ - games
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+ - spatial-reasoning
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+ ---
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+
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  # Rush Hour 4x4 Evaluation Dataset
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+ This dataset contains 150 4x4 Rush Hour puzzles for model evaluation with difficulty labels.
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  ## Format
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  - **prompt**: Full formatted prompt as used in model inference
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  - **solution**: Optimal solution with proper formatting
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  - **optimal_moves**: Number of moves in optimal solution
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+ - **difficulty**: Difficulty level (easy, medium, hard)
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  ## Usage
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  - **dataset.json**: Complete JSON array format (150 entries)
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  - **dataset_info.json**: Dataset metadata
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+ ## Dataset Statistics
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+
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+ - Total puzzles: 150
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+ - Difficulty levels: Easy (50), Medium (50), Hard (50)
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+ - Grid size: 4x4
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+ - Optimal solution length: 1-15 moves
dataset.json CHANGED
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dataset.jsonl CHANGED
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dataset.parquet CHANGED
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  version https://git-lfs.github.com/spec/v1
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- oid sha256:abef0cd5a5d4f8a0a290ef8677109e2bd3ba64d9998e3b87eeee8559ea930320
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- size 49368
 
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  version https://git-lfs.github.com/spec/v1
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+ oid sha256:254d2874c63c697fd3575860af8bcb20e021ce74b938ecc2591af4f483ac94cf
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+ size 49922
dataset_info.json CHANGED
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  {
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  "name": "rushhour4x4-eval",
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- "description": "4x4 Rush Hour puzzle dataset for evaluation",
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  "num_examples": 150,
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  "columns": {
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  "puzzle_id": "Unique identifier for each puzzle (e.g., puzzle1, puzzle2, ...)",
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  "prompt": "Full formatted prompt as used in model inference, including grid state and instructions",
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  "solution": "Optimal solution in the expected format with <solution> tags",
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- "optimal_moves": "Number of moves in the optimal solution (integer)"
 
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  },
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- "format": "Each row represents one puzzle with its prompt, solution, and optimal move count"
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  }
 
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  {
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  "name": "rushhour4x4-eval",
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+ "description": "4x4 Rush Hour puzzle dataset for evaluation with difficulty labels",
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  "num_examples": 150,
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  "columns": {
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  "puzzle_id": "Unique identifier for each puzzle (e.g., puzzle1, puzzle2, ...)",
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  "prompt": "Full formatted prompt as used in model inference, including grid state and instructions",
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  "solution": "Optimal solution in the expected format with <solution> tags",
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+ "optimal_moves": "Number of moves in the optimal solution (integer)",
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+ "difficulty": "Difficulty level: easy, medium, or hard"
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  },
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+ "format": "Each row represents one puzzle with its prompt, solution, optimal move count, and difficulty"
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  }