:tada: init

README.md

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+---
+annotations_creators:
+- crowdsourced
+language_creators:
+- crowdsourced
+languages:
+- en
+licenses:
+- unknown
+multilinguality:
+- monolingual
+pretty_name: Cats and Dogs
+size_categories:
+- 10K<n<100K
+source_datasets:
+- original
+task_categories:
+- other
+task_ids:
+- other-other-image-classification
+---
+
+# Dataset Card for Cats Vs. Dogs
+
+## Table of Contents
+- [Table of Contents](#table-of-contents)
+- [Dataset Description](#dataset-description)
+  - [Dataset Summary](#dataset-summary)
+  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
+  - [Languages](#languages)
+- [Dataset Structure](#dataset-structure)
+  - [Data Instances](#data-instances)
+  - [Data Fields](#data-fields)
+  - [Data Splits](#data-splits)
+- [Dataset Creation](#dataset-creation)
+  - [Curation Rationale](#curation-rationale)
+  - [Source Data](#source-data)
+  - [Annotations](#annotations)
+  - [Personal and Sensitive Information](#personal-and-sensitive-information)
+- [Considerations for Using the Data](#considerations-for-using-the-data)
+  - [Social Impact of Dataset](#social-impact-of-dataset)
+  - [Discussion of Biases](#discussion-of-biases)
+  - [Other Known Limitations](#other-known-limitations)
+- [Additional Information](#additional-information)
+  - [Dataset Curators](#dataset-curators)
+  - [Licensing Information](#licensing-information)
+  - [Citation Information](#citation-information)
+  - [Contributions](#contributions)
+
+## Dataset Description
+
+- **Homepage:**[Cats vs Dogs Dataset](https://www.microsoft.com/en-us/download/details.aspx?id=54765)
+- **Repository:** N/A
+- **Paper:**[Paper](https://www.microsoft.com/en-us/research/wp-content/uploads/2007/10/CCS2007.pdf)
+- **Leaderboard:** N/A
+- **Point of Contact:** N/A
+
+### Dataset Summary
+
+A large set of images of cats and dogs. There are 1738 corrupted images that are dropped.
+
+### Supported Tasks and Leaderboards
+
+- image-classification
+
+### Languages
+
+English
+
+## Dataset Structure
+
+### Data Instances
+
+A sample from the training set is provided below:
+
+```
+{
+  'image': '/root/.cache/huggingface/datasets/downloads/extracted/6e1e8c9052e9f3f7ecbcb4b90860668f81c1d36d86cc9606d49066f8da8bfb4f/PetImages/Cat/1.jpg',
+  'label': 0
+}
+```
+
+### Data Fields
+
+The data instances have the following fields:
+
+- `image_file_path`: a `string` filepath to an image.
+- `labels`: an `int` classification label.
+
+### Data Splits
+
+ 
+|   name   |train|
+|----------|----:|
+|cats_and_dogs|23410|
+
+## Dataset Creation
+
+### Curation Rationale
+
+[More Information Needed]
+
+### Source Data
+
+#### Initial Data Collection and Normalization
+
+[More Information Needed]
+
+#### Who are the source language producers?
+
+[More Information Needed]
+
+### Annotations
+
+#### Annotation process
+
+[More Information Needed]
+
+#### Who are the annotators?
+
+[More Information Needed]
+
+### Personal and Sensitive Information
+
+[More Information Needed]
+
+## Considerations for Using the Data
+
+### Social Impact of Dataset
+
+[More Information Needed]
+
+### Discussion of Biases
+
+[More Information Needed]
+
+### Other Known Limitations
+
+[More Information Needed]
+
+## Additional Information
+
+### Dataset Curators
+
+[More Information Needed]
+
+### Licensing Information
+
+[More Information Needed]
+
+### Citation Information
+
+```
+@Inproceedings (Conference){asirra-a-captcha-that-exploits-interest-aligned-manual-image-categorization,
+author = {Elson, Jeremy and Douceur, John (JD) and Howell, Jon and Saul, Jared},
+title = {Asirra: A CAPTCHA that Exploits Interest-Aligned Manual Image Categorization},
+booktitle = {Proceedings of 14th ACM Conference on Computer and Communications Security (CCS)},
+year = {2007},
+month = {October},
+publisher = {Association for Computing Machinery, Inc.},
+url = {https://www.microsoft.com/en-us/research/publication/asirra-a-captcha-that-exploits-interest-aligned-manual-image-categorization/},
+edition = {Proceedings of 14th ACM Conference on Computer and Communications Security (CCS)},
+}
+```
+
+### Contributions
+
+Thanks to [@nateraw](https://github.com/nateraw) for adding this dataset.

cats_vs_dogs.py

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+# coding=utf-8
+# Copyright 2021 The HuggingFace Datasets Authors and the current dataset script contributor.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+"""The Microsoft Cats vs. Dogs dataset"""
+
+from pathlib import Path
+from typing import List
+
+import datasets
+from datasets.tasks import ImageClassification
+
+
+logger = datasets.logging.get_logger(__name__)
+
+_URL = "https://download.microsoft.com/download/3/E/1/3E1C3F21-ECDB-4869-8368-6DEBA77B919F/kagglecatsanddogs_3367a.zip"
+
+_HOMEPAGE = "https://www.microsoft.com/en-us/download/details.aspx?id=54765"
+
+_DESCRIPTION = "A large set of images of cats and dogs. There are 1738 corrupted images that are dropped."
+
+_CITATION = """\
+@Inproceedings (Conference){asirra-a-captcha-that-exploits-interest-aligned-manual-image-categorization,
+    author = {Elson, Jeremy and Douceur, John (JD) and Howell, Jon and Saul, Jared},
+    title = {Asirra: A CAPTCHA that Exploits Interest-Aligned Manual Image Categorization},
+    booktitle = {Proceedings of 14th ACM Conference on Computer and Communications Security (CCS)},
+    year = {2007},
+    month = {October},
+    publisher = {Association for Computing Machinery, Inc.},
+    url = {https://www.microsoft.com/en-us/research/publication/asirra-a-captcha-that-exploits-interest-aligned-manual-image-categorization/},
+    edition = {Proceedings of 14th ACM Conference on Computer and Communications Security (CCS)},
+}
+"""
+
+
+class CatsVsDogs(datasets.GeneratorBasedBuilder):
+    def _info(self):
+        return datasets.DatasetInfo(
+            description=_DESCRIPTION,
+            features=datasets.Features(
+                {
+                    "image_file_path": datasets.Value("string"),
+                    "labels": datasets.features.ClassLabel(names=["cat", "dog"]),
+                }
+            ),
+            supervised_keys=("image_file_path", "labels"),
+            task_templates=[
+                ImageClassification(
+                    image_file_path_column="image_file_path", label_column="labels", labels=["Cat", "Dog"]
+                )
+            ],
+            homepage=_HOMEPAGE,
+            citation=_CITATION,
+        )
+
+    def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
+        images_path = Path(dl_manager.download_and_extract(_URL)) / "PetImages"
+        return [
+            datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"images_path": images_path}),
+        ]
+
+    def _generate_examples(self, images_path):
+        logger.info("generating examples from = %s", images_path)
+        labels = self.info.features["labels"]
+        for i, filepath in enumerate(images_path.glob("**/*.jpg")):
+            with filepath.open("rb") as f:
+                if b"JFIF" not in f.peek(10):
+                    filepath.unlink()
+                    continue
+                yield str(i), {
+                    "image_file_path": str(filepath),
+                    "labels": labels.encode_example(filepath.parent.name.lower()),
+                }

dataset_infos.json

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+{"default": {"description": "A large set of images of cats and dogs. There are 1738 corrupted images that are dropped.", "citation": "@Inproceedings (Conference){asirra-a-captcha-that-exploits-interest-aligned-manual-image-categorization,\n    author = {Elson, Jeremy and Douceur, John (JD) and Howell, Jon and Saul, Jared},\n    title = {Asirra: A CAPTCHA that Exploits Interest-Aligned Manual Image Categorization},\n    booktitle = {Proceedings of 14th ACM Conference on Computer and Communications Security (CCS)},\n    year = {2007},\n    month = {October},\n    publisher = {Association for Computing Machinery, Inc.},\n    url = {https://www.microsoft.com/en-us/research/publication/asirra-a-captcha-that-exploits-interest-aligned-manual-image-categorization/},\n    edition = {Proceedings of 14th ACM Conference on Computer and Communications Security (CCS)},\n}\n", "homepage": "https://www.microsoft.com/en-us/download/details.aspx?id=54765", "license": "", "features": {"image_file_path": {"dtype": "string", "id": null, "_type": "Value"}, "labels": {"num_classes": 2, "names": ["cat", "dog"], "names_file": null, "id": null, "_type": "ClassLabel"}}, "post_processed": null, "supervised_keys": {"input": "image_file_path", "output": "labels"}, "task_templates": [{"task": "image-classification", "image_file_path_column": "image_file_path", "label_column": "labels", "labels": ["Cat", "Dog"]}], "builder_name": "cats_vs_dogs", "config_name": "default", "version": {"version_str": "0.0.0", "description": null, "major": 0, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 3701417, "num_examples": 23410, "dataset_name": "cats_vs_dogs"}}, "download_checksums": {"https://download.microsoft.com/download/3/E/1/3E1C3F21-ECDB-4869-8368-6DEBA77B919F/kagglecatsanddogs_3367a.zip": {"num_bytes": 824894548, "checksum": "f9553e426bd725354ed3a27e3c6920caadb55c835d1ebd880d2e56d3f1fbb22b"}}, "download_size": 824894548, "post_processing_size": null, "dataset_size": 3701417, "size_in_bytes": 828595965}}