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README.md

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 pretty_name: Sudoku Image Recognition
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+---
+# Dataset Card for Sudoku Image Recognition
+
+Images of Sudoku puzzles for multilabel classification.
+
+## Dataset Details
+
+### Dataset Description
+
+This dataset consists of 1400 labelled images of Sudoku puzzles. It is intended for training and evaluating a system that can automatically determine the state of each cell in the puzzle: whether it is solved or unsolved, and which digits it contains. The images are split into train (1000), val (200) and test (200).
+
+## Uses
+
+The dataset is intended for training models that can automatically determine the state of a Sudoku puzzle from an image. These can be used to streamline user experience in Sudoku apps and websites. Instead of manually entering the state of the puzzle, a user can process an image, then review and correct any mistakes made by the model. The digital Sudoku puzzle can then be shared, analyzed and completed in the app or website.
+
+## Dataset Structure
+
+The dataset consists of the following fields:
+- `image` is an image of a Sudoku puzzle. The images are of varying sizes and the image formats include webp, jpg and png. Some images are screenshots and others are photos.
+- `cells` is an array representing the puzzle cells. It has shape (9, 9, 10) = (rows, cols, flags) and all entries are 0 or 1. Flag 0 encodes whether the cell is solved (1) or unsolved (0). Flags 1-9 encode whether the digits 1-9 respectively are present (1) or absent (0). If the cell is solved, then there is exactly one digit present (the solution) and all other digits are absent. If the cell is unsolved, then any set of digits can be present (including no digits). If the cell is unsolved, then any present digits are candidates, not solutions.