Name: MNIST In CSV
Creator: Kaggle
License: https://creativecommons.org/publicdomain/zero/1.0/

About this Dataset

MNIST In CSV

The MNIST dataset provided in a easy-to-use CSV format

The original dataset is in a format that is difficult for beginners to use. This dataset uses the work of Joseph Redmon to provide the MNIST dataset in a CSV format.

The dataset consists of two files:

mnist_train.csv
mnist_test.csv

The mnist_train.csv file contains the 60,000 training examples and labels. The mnist_test.csv contains 10,000 test examples and labels. Each row consists of 785 values: the first value is the label (a number from 0 to 9) and the remaining 784 values are the pixel values (a number from 0 to 255).

Tables

Mnist Test

@kaggle.oddrationale_mnist_in_csv.mnist_test

3.86 MB
10,000 rows
785 columns

CREATE TABLE mnist_test (
  "label" BIGINT,
  "n_1x1" BIGINT  -- 1x1,
  "n_1x2" BIGINT  -- 1x2,
  "n_1x3" BIGINT  -- 1x3,
  "n_1x4" BIGINT  -- 1x4,
  "n_1x5" BIGINT  -- 1x5,
  "n_1x6" BIGINT  -- 1x6,
  "n_1x7" BIGINT  -- 1x7,
  "n_1x8" BIGINT  -- 1x8,
  "n_1x9" BIGINT  -- 1x9,
  "n_1x10" BIGINT  -- 1x10,
  "n_1x11" BIGINT  -- 1x11,
  "n_1x12" BIGINT  -- 1x12,
  "n_1x13" BIGINT  -- 1x13,
  "n_1x14" BIGINT  -- 1x14,
  "n_1x15" BIGINT  -- 1x15,
  "n_1x16" BIGINT  -- 1x16,
  "n_1x17" BIGINT  -- 1x17,
  "n_1x18" BIGINT  -- 1x18,
  "n_1x19" BIGINT  -- 1x19,
  "n_1x20" BIGINT  -- 1x20,
  "n_1x21" BIGINT  -- 1x21,
  "n_1x22" BIGINT  -- 1x22,
  "n_1x23" BIGINT  -- 1x23,
  "n_1x24" BIGINT  -- 1x24,
  "n_1x25" BIGINT  -- 1x25,
  "n_1x26" BIGINT  -- 1x26,
  "n_1x27" BIGINT  -- 1x27,
  "n_1x28" BIGINT  -- 1x28,
  "n_2x1" BIGINT  -- 2x1,
  "n_2x2" BIGINT  -- 2x2,
  "n_2x3" BIGINT  -- 2x3,
  "n_2x4" BIGINT  -- 2x4,
  "n_2x5" BIGINT  -- 2x5,
  "n_2x6" BIGINT  -- 2x6,
  "n_2x7" BIGINT  -- 2x7,
  "n_2x8" BIGINT  -- 2x8,
  "n_2x9" BIGINT  -- 2x9,
  "n_2x10" BIGINT  -- 2x10,
  "n_2x11" BIGINT  -- 2x11,
  "n_2x12" BIGINT  -- 2x12,
  "n_2x13" BIGINT  -- 2x13,
  "n_2x14" BIGINT  -- 2x14,
  "n_2x15" BIGINT  -- 2x15,
  "n_2x16" BIGINT  -- 2x16,
  "n_2x17" BIGINT  -- 2x17,
  "n_2x18" BIGINT  -- 2x18,
  "n_2x19" BIGINT  -- 2x19,
  "n_2x20" BIGINT  -- 2x20,
  "n_2x21" BIGINT  -- 2x21,
  "n_2x22" BIGINT  -- 2x22,
  "n_2x23" BIGINT  -- 2x23,
  "n_2x24" BIGINT  -- 2x24,
  "n_2x25" BIGINT  -- 2x25,
  "n_2x26" BIGINT  -- 2x26,
  "n_2x27" BIGINT  -- 2x27,
  "n_2x28" BIGINT  -- 2x28,
  "n_3x1" BIGINT  -- 3x1,
  "n_3x2" BIGINT  -- 3x2,
  "n_3x3" BIGINT  -- 3x3,
  "n_3x4" BIGINT  -- 3x4,
  "n_3x5" BIGINT  -- 3x5,
  "n_3x6" BIGINT  -- 3x6,
  "n_3x7" BIGINT  -- 3x7,
  "n_3x8" BIGINT  -- 3x8,
  "n_3x9" BIGINT  -- 3x9,
  "n_3x10" BIGINT  -- 3x10,
  "n_3x11" BIGINT  -- 3x11,
  "n_3x12" BIGINT  -- 3x12,
  "n_3x13" BIGINT  -- 3x13,
  "n_3x14" BIGINT  -- 3x14,
  "n_3x15" BIGINT  -- 3x15,
  "n_3x16" BIGINT  -- 3x16,
  "n_3x17" BIGINT  -- 3x17,
  "n_3x18" BIGINT  -- 3x18,
  "n_3x19" BIGINT  -- 3x19,
  "n_3x20" BIGINT  -- 3x20,
  "n_3x21" BIGINT  -- 3x21,
  "n_3x22" BIGINT  -- 3x22,
  "n_3x23" BIGINT  -- 3x23,
  "n_3x24" BIGINT  -- 3x24,
  "n_3x25" BIGINT  -- 3x25,
  "n_3x26" BIGINT  -- 3x26,
  "n_3x27" BIGINT  -- 3x27,
  "n_3x28" BIGINT  -- 3x28,
  "n_4x1" BIGINT  -- 4x1,
  "n_4x2" BIGINT  -- 4x2,
  "n_4x3" BIGINT  -- 4x3,
  "n_4x4" BIGINT  -- 4x4,
  "n_4x5" BIGINT  -- 4x5,
  "n_4x6" BIGINT  -- 4x6,
  "n_4x7" BIGINT  -- 4x7,
  "n_4x8" BIGINT  -- 4x8,
  "n_4x9" BIGINT  -- 4x9,
  "n_4x10" BIGINT  -- 4x10,
  "n_4x11" BIGINT  -- 4x11,
  "n_4x12" BIGINT  -- 4x12,
  "n_4x13" BIGINT  -- 4x13,
  "n_4x14" BIGINT  -- 4x14,
  "n_4x15" BIGINT  -- 4x15
);

Mnist Train

@kaggle.oddrationale_mnist_in_csv.mnist_train

19.92 MB
60,000 rows
785 columns

CREATE TABLE mnist_train (
  "label" BIGINT,
  "n_1x1" BIGINT  -- 1x1,
  "n_1x2" BIGINT  -- 1x2,
  "n_1x3" BIGINT  -- 1x3,
  "n_1x4" BIGINT  -- 1x4,
  "n_1x5" BIGINT  -- 1x5,
  "n_1x6" BIGINT  -- 1x6,
  "n_1x7" BIGINT  -- 1x7,
  "n_1x8" BIGINT  -- 1x8,
  "n_1x9" BIGINT  -- 1x9,
  "n_1x10" BIGINT  -- 1x10,
  "n_1x11" BIGINT  -- 1x11,
  "n_1x12" BIGINT  -- 1x12,
  "n_1x13" BIGINT  -- 1x13,
  "n_1x14" BIGINT  -- 1x14,
  "n_1x15" BIGINT  -- 1x15,
  "n_1x16" BIGINT  -- 1x16,
  "n_1x17" BIGINT  -- 1x17,
  "n_1x18" BIGINT  -- 1x18,
  "n_1x19" BIGINT  -- 1x19,
  "n_1x20" BIGINT  -- 1x20,
  "n_1x21" BIGINT  -- 1x21,
  "n_1x22" BIGINT  -- 1x22,
  "n_1x23" BIGINT  -- 1x23,
  "n_1x24" BIGINT  -- 1x24,
  "n_1x25" BIGINT  -- 1x25,
  "n_1x26" BIGINT  -- 1x26,
  "n_1x27" BIGINT  -- 1x27,
  "n_1x28" BIGINT  -- 1x28,
  "n_2x1" BIGINT  -- 2x1,
  "n_2x2" BIGINT  -- 2x2,
  "n_2x3" BIGINT  -- 2x3,
  "n_2x4" BIGINT  -- 2x4,
  "n_2x5" BIGINT  -- 2x5,
  "n_2x6" BIGINT  -- 2x6,
  "n_2x7" BIGINT  -- 2x7,
  "n_2x8" BIGINT  -- 2x8,
  "n_2x9" BIGINT  -- 2x9,
  "n_2x10" BIGINT  -- 2x10,
  "n_2x11" BIGINT  -- 2x11,
  "n_2x12" BIGINT  -- 2x12,
  "n_2x13" BIGINT  -- 2x13,
  "n_2x14" BIGINT  -- 2x14,
  "n_2x15" BIGINT  -- 2x15,
  "n_2x16" BIGINT  -- 2x16,
  "n_2x17" BIGINT  -- 2x17,
  "n_2x18" BIGINT  -- 2x18,
  "n_2x19" BIGINT  -- 2x19,
  "n_2x20" BIGINT  -- 2x20,
  "n_2x21" BIGINT  -- 2x21,
  "n_2x22" BIGINT  -- 2x22,
  "n_2x23" BIGINT  -- 2x23,
  "n_2x24" BIGINT  -- 2x24,
  "n_2x25" BIGINT  -- 2x25,
  "n_2x26" BIGINT  -- 2x26,
  "n_2x27" BIGINT  -- 2x27,
  "n_2x28" BIGINT  -- 2x28,
  "n_3x1" BIGINT  -- 3x1,
  "n_3x2" BIGINT  -- 3x2,
  "n_3x3" BIGINT  -- 3x3,
  "n_3x4" BIGINT  -- 3x4,
  "n_3x5" BIGINT  -- 3x5,
  "n_3x6" BIGINT  -- 3x6,
  "n_3x7" BIGINT  -- 3x7,
  "n_3x8" BIGINT  -- 3x8,
  "n_3x9" BIGINT  -- 3x9,
  "n_3x10" BIGINT  -- 3x10,
  "n_3x11" BIGINT  -- 3x11,
  "n_3x12" BIGINT  -- 3x12,
  "n_3x13" BIGINT  -- 3x13,
  "n_3x14" BIGINT  -- 3x14,
  "n_3x15" BIGINT  -- 3x15,
  "n_3x16" BIGINT  -- 3x16,
  "n_3x17" BIGINT  -- 3x17,
  "n_3x18" BIGINT  -- 3x18,
  "n_3x19" BIGINT  -- 3x19,
  "n_3x20" BIGINT  -- 3x20,
  "n_3x21" BIGINT  -- 3x21,
  "n_3x22" BIGINT  -- 3x22,
  "n_3x23" BIGINT  -- 3x23,
  "n_3x24" BIGINT  -- 3x24,
  "n_3x25" BIGINT  -- 3x25,
  "n_3x26" BIGINT  -- 3x26,
  "n_3x27" BIGINT  -- 3x27,
  "n_3x28" BIGINT  -- 3x28,
  "n_4x1" BIGINT  -- 4x1,
  "n_4x2" BIGINT  -- 4x2,
  "n_4x3" BIGINT  -- 4x3,
  "n_4x4" BIGINT  -- 4x4,
  "n_4x5" BIGINT  -- 4x5,
  "n_4x6" BIGINT  -- 4x6,
  "n_4x7" BIGINT  -- 4x7,
  "n_4x8" BIGINT  -- 4x8,
  "n_4x9" BIGINT  -- 4x9,
  "n_4x10" BIGINT  -- 4x10,
  "n_4x11" BIGINT  -- 4x11,
  "n_4x12" BIGINT  -- 4x12,
  "n_4x13" BIGINT  -- 4x13,
  "n_4x14" BIGINT  -- 4x14,
  "n_4x15" BIGINT  -- 4x15
);