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[ARTICLE · art-20991] src=swipe.futo.tech pub= topic=machine-learning verified=true sentiment=· neutral

FUTO Swipe Relative error rate improvement vs. Gboard

FUTO's swipe keyboard achieved a lower relative error rate compared to Google's Gboard, according to a new evaluation based on a dataset of over 1 million QWERTY English swipes collected from voluntary users. The dataset, released in March 2025 under the MIT license on HuggingFace, was used to train FUTO's models and assess competing swipe typing systems. This improvement matters for mobile typing accuracy, as FUTO's system outperformed the industry-standard Gboard in reducing input errors.

read1 min publishedJun 4, 2026

In August 2024, we launched a dataset collection effort on the swipe.futo.org domain to collect QWERTY English swipes. Users would voluntarily visit the webpage on their mobile phone and be given instructions and information about the dataset. After consenting, they would be given sentences, primarily from Wikipedia, and would be asked to swipe them word-by-word.

In the end, this produced over 1 million swipes. We filtered out a small set of low-quality swipes. In March 2025, we released a dataset of 1 million swipes under the MIT license, and it is available today on HuggingFace.

We made heavy use of this data to train our models and to evaluate different swipe typing systems.

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