Add data

.gitignore

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+.ipynb_checkpoints

LICENSE

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+        DO WHAT THE FUCK YOU WANT TO PUBLIC LICENSE 
+                    Version 2, December 2004 
+
+ Copyright (C) 2004 Sam Hocevar <[email protected]> 
+
+ Everyone is permitted to copy and distribute verbatim or modified 
+ copies of this license document, and changing it is allowed as long 
+ as the name is changed. 
+
+            DO WHAT THE FUCK YOU WANT TO PUBLIC LICENSE 
+   TERMS AND CONDITIONS FOR COPYING, DISTRIBUTION AND MODIFICATION 
+
+  0. You just DO WHAT THE FUCK YOU WANT TO.

README.md

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 ---
+dataset_info:
+  features:
+  - name: image
+    dtype: image
+  - name: solution
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 24564698
+    num_examples: 6000
+  - name: validation
+    num_bytes: 8195367
+    num_examples: 2000
+  - name: test
+    num_bytes: 8186295
+    num_examples: 2000
+  download_size: 28857965
+  dataset_size: 40946360
 license: wtfpl
+task_categories:
+- image-to-text
+tags:
+- captcha
+- ocr
+size_categories:
+- 1K<n<10K
 ---
+
+# Captcha dataset
+
+## Data
+Captcha images with solutions of exactly 6 digit numbers
+
+## Splits
+* Train: 6000 images
+* Validation: 2000 images
+* Test: 2000 images
+
+## Example
+![Example image](example.jpg "Example image")

captcha-images.py

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+import os
+from pathlib import Path
+
+import datasets
+
+_DESCRIPTION = """\
+Captcha images dataset.
+"""
+_LICENSE = "wtfpl"
+_DATA_DIR = "data"
+
+class Captcha(datasets.GeneratorBasedBuilder):
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                        "image": datasets.Image(),
+                        "solution": datasets.Value("string"),
+                }
+            ),
+            license=_LICENSE,
+        )
+
+    def _split_generators(self, dl_manager):
+        return [
+            datasets.SplitGenerator(
+                name=datasets.Split.TRAIN,
+                gen_kwargs={
+                    "images": dl_manager.iter_archive(dl_manager.download(os.path.join(_DATA_DIR, "train.tar.gz"))),
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.VALIDATION,
+                gen_kwargs={
+                    "images": dl_manager.iter_archive(dl_manager.download(os.path.join(_DATA_DIR, "validation.tar.gz"))),
+                },
+            ),
+            datasets.SplitGenerator(
+                name=datasets.Split.TEST,
+                gen_kwargs={
+                    "images": dl_manager.iter_archive(dl_manager.download(os.path.join(_DATA_DIR, "test.tar.gz"))),
+                },
+            ),
+        ]
+
+    def _generate_examples(self, images):
+        for file_path, file_obj in images:
+            yield file_path, {
+                    "image": {"path": file_path, "bytes": file_obj.read()},
+                    "solution": Path(file_path).name.split('.')[0],
+                }

data/test.tar.gz

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+version https://git-lfs.github.com/spec/v1
+oid sha256:730bf94a1b857caa1de00bc7b5d9840c25bcd9767718f91ba9f8a3d5fd2a1912
+size 5773266

data/train.tar.gz

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+version https://git-lfs.github.com/spec/v1
+oid sha256:7a8c388a990aa5a5f04b3e2503f87ecc2a0f8da1fdb70de368298e218490eb55
+size 17319828

data/validation.tar.gz

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+version https://git-lfs.github.com/spec/v1
+oid sha256:68d339c89403682ce2844d2d94524c15afcf990c057cba055dc6a985de42ea91
+size 5764871

requirements.txt

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+datasets
+Pillow