# Visual Spatial Planning (VSP) Dataset ## Dataset Description This dataset contains visual maze navigation and path verification tasks from the Visual Spatial Planning benchmark. ### Dataset Summary - **Total samples**: 1100 - **Tasks**: Path Navigation (task-main) and Path Verification (task4) - **Splits**: - `navigation_test`: 600 samples - `verify_test`: 500 samples ### Task Types 1. **Path Verification (task4)**: Given a maze image and an action sequence, determine if the path is safe (avoids holes and reaches the goal). 2. **Path Navigation (task-main)**: Given a maze image, generate an optimal action sequence from start to goal while avoiding holes. ### Data Fields Common fields: - `idx`: Unique identifier - `original_id`: Original data ID - `image`: RGB image of the maze - `text`: Task instruction and prompt - `answer`: Ground truth answer - `task_type`: Type of task (verify/navigation) - `split`: Data split (test) - `size`: Maze size (grid dimension) - `level`: Difficulty level - `gym_map`: Gym environment map representation (JSON string) Path Verification specific fields: - `path_length`: Length of the action sequence - `path`: Action sequence string Path Navigation specific fields: - `start_coords`: Starting coordinates (JSON string) - `goal_coords`: Goal coordinates (JSON string) - `obstacle_coords`: Obstacle coordinates (JSON string) - `astar_path`: A* algorithm path (if available) ### Actions - `L`: Move left - `R`: Move right - `U`: Move up - `D`: Move down ### Maze Elements - `S`: Start position - `G`: Goal position - `F`: Frozen (safe) tile - `H`: Hole (unsafe) ## Usage ```python from datasets import load_dataset # Load specific split dataset = load_dataset("hitsmy/AdaEval-VSPO", split="navigation_test") # Access an example example = dataset[0] image = example['image'] prompt = example['text'] answer = example['answer'] ## Citation If you use this dataset, please cite: @dataset{vsp_dataset, title={Visual Spatial Planning Dataset}, author={VSP Team}, year={2024} } ##License Apache 2.0