The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code:   ConfigNamesError
Exception:    FileNotFoundError
Message:      Couldn't find a dataset script at /src/services/worker/marcin119a/mnist100/mnist100.py or any data file in the same directory. Couldn't find 'marcin119a/mnist100' on the Hugging Face Hub either: FileNotFoundError: No (supported) data files or dataset script found in marcin119a/mnist100. 
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 55, in compute_config_names_response
                  for config in sorted(get_dataset_config_names(path=dataset, token=hf_token))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 351, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1491, in dataset_module_factory
                  raise FileNotFoundError(
              FileNotFoundError: Couldn't find a dataset script at /src/services/worker/marcin119a/mnist100/mnist100.py or any data file in the same directory. Couldn't find 'marcin119a/mnist100' on the Hugging Face Hub either: FileNotFoundError: No (supported) data files or dataset script found in marcin119a/mnist100.

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The MNIST-100 dataset is a variation of the original MNIST dataset, consisting of 100 handwritten numbers extracted from the MNIST dataset. Unlike the traditional MNIST dataset, which contains 60,000 training images of digits from 0 to 9, the Modified MNIST-10 dataset focuses on 100 numbers.

Dataset Overview:

  • Dataset Name: MNIST-100
  • Total Number of Images: train: 60000 test: 1000
  • Classes: 100 (Numbers from 00 to 99)
  • Image Size: 28x56 pixels (grayscale)

Data Collection: The MNIST-100 dataset was created by randomly selecting 10 unique digits from the original MNIST dataset. For each selected digit, 10 representative images were extracted, resulting in a total of 100 images. These images were carefully chosen to represent a diverse range of handwriting styles for each digit.

Each image in the dataset is labeled with its corresponding numbers, ranging from 00 to 99, making it suitable for classification tasks. Researchers and practitioners can use this dataset to train and evaluate machine learning algorithms and neural networks for digit recognition and classification.

Please note that the Modified MNIST-100 dataset is not intended to replace the original MNIST dataset but serves as a complementary resource for specific applications requiring a smaller and more focused subset of the MNIST data.

Overall, the MNIST-100 dataset offers a compact and representative collection of 100 handwritten numbers, providing a convenient tool for experimentation and learning in computer vision and pattern recognition.

Label Distribution for training set:

Label Occurrences Label Occurrences Label Occurrences
0 561 34 629 68 606
1 687 35 540 69 582
2 582 36 588 70 566
3 633 37 619 71 659
4 588 38 584 72 572
5 544 39 609 73 682
6 582 40 570 74 627
7 615 41 679 75 598
8 584 42 544 76 605
9 567 43 567 77 602
10 641 44 574 78 595
11 780 45 555 79 586
12 720 46 550 80 569
13 699 47 614 81 628
14 630 48 614 82 578
15 627 49 595 83 622
16 684 50 505 84 569
17 713 51 583 85 540
18 743 52 512 86 557
19 706 53 555 87 628
20 527 54 504 88 562
21 710 55 488 89 625
22 586 56 531 90 600
23 584 57 556 91 700
24 568 58 497 92 622
25 530 59 520 93 622
26 612 60 556 94 591
27 627 61 682 95 557
28 618 62 594 96 580
29 619 63 539 97 640
30 622 64 610 98 577
31 684 65 514 99 563
32 606 66 587
33 592 67 655

Test data:

Label Occurrences Label Occurrences Label Occurrences
00 96 34 100 68 90
01 108 35 91 69 92
02 91 36 107 70 102
03 96 37 112 71 116
04 75 38 97 72 101
05 85 39 96 73 106
06 88 40 103 74 98
07 96 41 123 75 101
08 99 42 94 76 91
09 113 43 88 77 119
10 106 44 102 78 96
11 132 45 85 79 104
12 111 46 86 80 84
13 134 47 86 81 124
14 89 48 115 82 107
15 100 49 100 83 83
16 112 50 78 84 98
17 126 51 107 85 77
18 115 52 90 86 72
19 109 53 103 87 120
20 107 54 86 88 98
21 113 55 77 89 93
22 136 56 78 90 107
23 105 57 99 91 116
24 98 58 81 92 92
25 89 59 91 93 103
26 102 60 101 94 106
27 113 61 100 95 68
28 120 62 94 96 95
29 102 63 103 97 106
30 96 64 108 98 112
31 101 65 84 99 110
32 108 66 84
33 101 67 92

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