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license: mit
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license: mit
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pretty_name: chess
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---
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# Chess Opening Recommendation Dataset
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This is a small dataset representing a user-opening interaction matrix, designed for training a recommender system to suggest chess openings.
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Each row corresponds to a user, and each column represents a specific chess opening or variation.
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The dataset was created using information gathered using the Chess.com API, therefore all users in the dataset are from Chess.com.
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## Dataset Structure
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- Rows: Users
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- Columns: Chess openings and variations (according to ECO)
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- Values: Lists containing two percentages:
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- Frequency: How often the user plays the opening as a percentage.
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- Win Rate: The success rate of the user with that opening as a percentage.
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## Usage
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This dataset can be used to develop and evaluate chess opening recommendation models
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Enjoy and happy modeling!
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