Kastler, Moritz · Zenodo (CERN European Organization for Nuclear Research) · 2025
Purpose This dataset(s) was created during the research on my Bachelor Thesis. The goal was to research the effects of Machine Unlearning and test 3 Machine Unlearning Algorithms.Further details can be found on my GitHub Repository. Structure The dataset takes three well-known ones (MNIST, Colored MNIST, Fashion MNIST) and splits one of the respective classes (classes "7" for MNIST, "7" for Colored MNIST and "5" for Fashion MNIST). The unlearned subset is determined by the appearance of an "e" at the end of the folder name. E.g. for MNIST, the folder named 7 contains the retain data samples of class "7", while 7e contains the forgotten data samples.
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Dietterich, Hendrycks and · TIB Data Manager · 2024
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Wolfram Research, Inc. · Wolfram Research Data Repository · 2017
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Bhasker Sri Harsha Suri · TIB Data Manager · 2024
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Kim, Byungju · TIB Data Manager · 2024
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BengaliAI, Ritobrata Ghosh · Kaggle · 2021
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Penzin, Nikita, Penzar, Dmitry · Zenodo (CERN European Organization for Nuclear Research) · 2025
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Garrick Orchard · Data Archiving and Networked Services (DANS) · 2022
Recording of the MNIST dataset displayed on a screen as viewed by a dynamic vision sensor moving through a fixed trajectory on a pan-tilt unit. Details are in the listed paper.
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Verma, Sunny · TIB Data Manager · 2024
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Alessandro Ingrosso · TIB Data Manager · 2024
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Paulina Grnarova · TIB Data Manager · 2024
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Jaewoo Park · TIB Data Manager · 2024
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Patel, Brijesh · Figshare · 2024
MNIST is a classic dataset consisting of 0~9 handwritten digit images and labels, which provides 60,000 pieces of training data and 10,000 pieces of testing data
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Penzin, Nikita, Penzar, Dmitry · Zenodo (CERN European Organization for Nuclear Research) · 2026
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Xuyu Zhang, Jingjing Gao, Gan, Yu et al. · ScienceDB · 2023
MNIST is a picture data set of handwritten numbers, which was organized by the National Institute of Standards and Technology (NIST) of the United States. A total of 250 handwritten digital pictures were collected, 50% of which were high school students and 50% were from the staff of the Census Bureau. The collection purpose of this data set is to realize the recognition of handwritten digits through algorithms. The data set contains 60000 images and labels, while the test set contains 10000 images and labels. The first 5000 training sets from the initial NIST program, The last 5000 test sets from the original NIST program. The first 5000 are more regular than the last 5000, because the first 5000 data come from the employees of the US Census Bureau, and the last 5000 data come from college students.
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Dong, Hao-Wen · TIB Data Manager · 2024
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Parmar, Vivek · TIB Data Manager · 2024
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Marcin · Kaggle · 2023
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Nikita Penzin, Dmitry Penzar · Zenodo (CERN European Organization for Nuclear Research) · 2026
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Doan, Thang · TIB Data Manager · 2024
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