tanganke commited on
Commit
4236c26
1 Parent(s): 50aa98f
README.md CHANGED
@@ -36,13 +36,21 @@ dataset_info:
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  '25': Z
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  splits:
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  - name: train
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- num_bytes: 52628800
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  num_examples: 124800
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  - name: test
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- num_bytes: 8775753
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  num_examples: 20800
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- download_size: 36381774
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- dataset_size: 61404553
 
 
 
 
 
 
 
 
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  ---
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  # Dataset Card for "emnist-letters"
 
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  '25': Z
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  splits:
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  - name: train
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+ num_bytes: 52114000.0
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  num_examples: 124800
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  - name: test
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+ num_bytes: 8689953.0
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  num_examples: 20800
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+ download_size: 58971617
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+ dataset_size: 60803953.0
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+ configs:
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+ - config_name: emnist-letters
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+ data_files:
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+ - split: train
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+ path: emnist-letters/train-*
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+ - split: test
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+ path: emnist-letters/test-*
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+ default: true
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  ---
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  # Dataset Card for "emnist-letters"
emnist-letters-mapping.txt DELETED
@@ -1,26 +0,0 @@
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- 1 65 97
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- 2 66 98
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- 3 67 99
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- 4 68 100
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- 5 69 101
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- 6 70 102
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- 7 71 103
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- 8 72 104
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- 9 73 105
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- 10 74 106
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- 11 75 107
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- 12 76 108
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- 13 77 109
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- 14 78 110
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- 15 79 111
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- 16 80 112
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- 17 81 113
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- 18 82 114
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- 19 83 115
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- 20 84 116
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- 21 85 117
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- 22 86 118
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- 23 87 119
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- 24 88 120
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- 25 89 121
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- 26 90 122
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
raw/emnist-letters-train-labels-idx1-ubyte.gz → emnist-letters/test-00000-of-00001.parquet RENAMED
@@ -1,3 +1,3 @@
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- size 79283
 
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+ size 8407069
raw/emnist-letters-train-images-idx3-ubyte.gz → emnist-letters/train-00000-of-00001.parquet RENAMED
@@ -1,3 +1,3 @@
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  version https://git-lfs.github.com/spec/v1
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- size 31197176
 
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+ size 50564548
emnist_letters.py DELETED
@@ -1,89 +0,0 @@
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- import struct
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-
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- import numpy as np
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-
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- import datasets
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- from datasets.tasks import ImageClassification
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-
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-
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- _URL = "./raw/"
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- _URLS = {
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- "train_images": "emnist-letters-train-images-idx3-ubyte.gz",
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- "train_labels": "emnist-letters-train-labels-idx1-ubyte.gz",
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- "test_images": "emnist-letters-test-images-idx3-ubyte.gz",
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- "test_labels": "emnist-letters-test-labels-idx1-ubyte.gz",
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- }
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-
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-
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- class EMNIST(datasets.GeneratorBasedBuilder):
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-
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- BUILDER_CONFIGS = [
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- datasets.BuilderConfig(
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- name="emnist-letters",
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- version=datasets.Version("1.0.0"),
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- )
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- ]
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-
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- def _info(self):
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- return datasets.DatasetInfo(
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- features=datasets.Features(
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- {
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- "image": datasets.Image(),
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- "label": datasets.features.ClassLabel(
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- names=list(chr(i) for i in range(65, 91))
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- ),
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- }
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- ),
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- supervised_keys=("image", "label"),
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- task_templates=[
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- ImageClassification(
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- image_column="image",
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- label_column="label",
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- )
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- ],
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- )
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-
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- def _split_generators(self, dl_manager):
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- urls_to_download = {key: _URL + fname for key, fname in _URLS.items()}
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- downloaded_files = dl_manager.download_and_extract(urls_to_download)
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- return [
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- datasets.SplitGenerator(
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- name=datasets.Split.TRAIN,
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- gen_kwargs={
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- "filepath": (
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- downloaded_files["train_images"],
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- downloaded_files["train_labels"],
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- ),
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- "split": "train",
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- },
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- ),
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- datasets.SplitGenerator(
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- name=datasets.Split.TEST,
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- gen_kwargs={
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- "filepath": (
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- downloaded_files["test_images"],
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- downloaded_files["test_labels"],
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- ),
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- "split": "test",
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- },
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- ),
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- ]
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-
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- def _generate_examples(self, filepath, split):
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- """This function returns the examples in the raw form."""
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- # Images
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- with open(filepath[0], "rb") as f:
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- # First 16 bytes contain some metadata
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- _ = f.read(4)
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- size = struct.unpack(">I", f.read(4))[0]
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- _ = f.read(8)
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- images = np.frombuffer(f.read(), dtype=np.uint8).reshape(size, 28, 28)
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-
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- # Labels
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- with open(filepath[1], "rb") as f:
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- # First 8 bytes contain some metadata
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- _ = f.read(8)
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- labels = np.frombuffer(f.read(), dtype=np.uint8) - 1
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-
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- for idx in range(size):
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- yield idx, {"image": images[idx], "label": str(labels[idx])}
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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@@ -1,3 +0,0 @@
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raw/emnist-letters-test-labels-idx1-ubyte.gz DELETED
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