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Update files from the datasets library (from 1.12.0)

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Release notes: https://github.com/huggingface/datasets/releases/tag/1.12.0

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  1. .gitattributes +27 -0
  2. README.md +177 -0
  3. cats_vs_dogs.py +81 -0
  4. dataset_infos.json +1 -0
  5. dummy/0.0.0/dummy_data.zip +3 -0
.gitattributes ADDED
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+ *.7z filter=lfs diff=lfs merge=lfs -text
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+ *.arrow filter=lfs diff=lfs merge=lfs -text
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+ *.bin filter=lfs diff=lfs merge=lfs -text
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+ *.bin.* filter=lfs diff=lfs merge=lfs -text
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+ *.bz2 filter=lfs diff=lfs merge=lfs -text
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+ *.ftz filter=lfs diff=lfs merge=lfs -text
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+ *.gz filter=lfs diff=lfs merge=lfs -text
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+ *.h5 filter=lfs diff=lfs merge=lfs -text
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+ *.joblib filter=lfs diff=lfs merge=lfs -text
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+ *.lfs.* filter=lfs diff=lfs merge=lfs -text
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+ *.model filter=lfs diff=lfs merge=lfs -text
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+ *.msgpack filter=lfs diff=lfs merge=lfs -text
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+ *.onnx filter=lfs diff=lfs merge=lfs -text
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+ *.parquet filter=lfs diff=lfs merge=lfs -text
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+ *.pb filter=lfs diff=lfs merge=lfs -text
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+ *.pt filter=lfs diff=lfs merge=lfs -text
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+ *.pth filter=lfs diff=lfs merge=lfs -text
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+ *.rar filter=lfs diff=lfs merge=lfs -text
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+ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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+ *.tar.* filter=lfs diff=lfs merge=lfs -text
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+ *.tflite filter=lfs diff=lfs merge=lfs -text
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+ *.zstandard filter=lfs diff=lfs merge=lfs -text
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+ *tfevents* filter=lfs diff=lfs merge=lfs -text
README.md ADDED
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+ ---
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+ annotations_creators:
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+ - crowdsourced
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+ language_creators:
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+ - crowdsourced
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+ languages:
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+ - en
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+ licenses:
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+ - unknown
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+ multilinguality:
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+ - monolingual
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+ pretty_name: Cats Vs- Dogs
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+ size_categories:
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+ - 10K<n<100K
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+ source_datasets:
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+ - original
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+ task_categories:
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+ - other
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+ task_ids:
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+ - other-other-image-classification
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+ ---
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+
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+ # Dataset Card for Cats Vs. Dogs
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+
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+ ## Table of Contents
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+ - [Table of Contents](#table-of-contents)
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+ - [Dataset Description](#dataset-description)
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+ - [Dataset Summary](#dataset-summary)
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+ - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
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+ - [Languages](#languages)
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+ - [Dataset Structure](#dataset-structure)
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+ - [Data Instances](#data-instances)
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+ - [Data Fields](#data-fields)
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+ - [Data Splits](#data-splits)
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+ - [Dataset Creation](#dataset-creation)
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+ - [Curation Rationale](#curation-rationale)
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+ - [Source Data](#source-data)
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+ - [Annotations](#annotations)
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+ - [Personal and Sensitive Information](#personal-and-sensitive-information)
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+ - [Considerations for Using the Data](#considerations-for-using-the-data)
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+ - [Social Impact of Dataset](#social-impact-of-dataset)
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+ - [Discussion of Biases](#discussion-of-biases)
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+ - [Other Known Limitations](#other-known-limitations)
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+ - [Additional Information](#additional-information)
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+ - [Dataset Curators](#dataset-curators)
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+ - [Licensing Information](#licensing-information)
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+ - [Citation Information](#citation-information)
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+ - [Contributions](#contributions)
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+
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+ ## Dataset Description
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+
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+ - **Homepage:** [Cats vs Dogs Dataset](https://www.microsoft.com/en-us/download/details.aspx?id=54765)
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+ - **Repository:** N/A
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+ - **Paper:** [Paper](https://www.microsoft.com/en-us/research/wp-content/uploads/2007/10/CCS2007.pdf)
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+ - **Leaderboard:** N/A
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+ - **Point of Contact:** N/A
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+
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+ ### Dataset Summary
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+
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+ A large set of images of cats and dogs. There are 1738 corrupted images that are dropped.
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+
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+ ### Supported Tasks and Leaderboards
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+
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+ - image-classification
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+
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+ ### Languages
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+
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+ English
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+
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+ ## Dataset Structure
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+
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+ ### Data Instances
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+
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+ A sample from the training set is provided below:
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+
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+ ```
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+ {
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+ 'image': '/root/.cache/huggingface/datasets/downloads/extracted/6e1e8c9052e9f3f7ecbcb4b90860668f81c1d36d86cc9606d49066f8da8bfb4f/PetImages/Cat/1.jpg',
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+ 'label': 0
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+ }
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+ ```
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+
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+ ### Data Fields
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+
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+ The data instances have the following fields:
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+
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+ - `image_file_path`: a `string` filepath to an image.
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+ - `labels`: an `int` classification label.
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+
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+ Class Label Mappings:
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+
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+ ```
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+ {
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+ "cat": 0,
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+ "dog": 1,
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+ }
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+ ```
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+
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+ ### Data Splits
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+
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+
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+ | | train |
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+ |---------------|------:|
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+ | # of examples | 23410 |
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+
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+ ## Dataset Creation
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+
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+ ### Curation Rationale
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+
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+ [More Information Needed]
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+
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+ ### Source Data
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+
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+ #### Initial Data Collection and Normalization
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+
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+ [More Information Needed]
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+
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+ #### Who are the source language producers?
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+
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+ [More Information Needed]
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+
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+ ### Annotations
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+
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+ #### Annotation process
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+
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+ [More Information Needed]
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+
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+ #### Who are the annotators?
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+
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+ [More Information Needed]
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+
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+ ### Personal and Sensitive Information
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+
134
+ [More Information Needed]
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+
136
+ ## Considerations for Using the Data
137
+
138
+ ### Social Impact of Dataset
139
+
140
+ [More Information Needed]
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+
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+ ### Discussion of Biases
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+
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+ [More Information Needed]
145
+
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+ ### Other Known Limitations
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+
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+ [More Information Needed]
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+
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+ ## Additional Information
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+
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+ ### Dataset Curators
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+
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+ [More Information Needed]
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+
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+ ### Licensing Information
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+
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+ [More Information Needed]
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+
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+ ### Citation Information
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+
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+ ```
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+ @Inproceedings (Conference){asirra-a-captcha-that-exploits-interest-aligned-manual-image-categorization,
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+ author = {Elson, Jeremy and Douceur, John (JD) and Howell, Jon and Saul, Jared},
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+ title = {Asirra: A CAPTCHA that Exploits Interest-Aligned Manual Image Categorization},
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+ booktitle = {Proceedings of 14th ACM Conference on Computer and Communications Security (CCS)},
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+ year = {2007},
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+ month = {October},
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+ publisher = {Association for Computing Machinery, Inc.},
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+ url = {https://www.microsoft.com/en-us/research/publication/asirra-a-captcha-that-exploits-interest-aligned-manual-image-categorization/},
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+ edition = {Proceedings of 14th ACM Conference on Computer and Communications Security (CCS)},
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+ }
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+ ```
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+
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+ ### Contributions
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+
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+ Thanks to [@nateraw](https://github.com/nateraw) for adding this dataset.
cats_vs_dogs.py ADDED
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+ # coding=utf-8
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+ # Copyright 2021 The HuggingFace Datasets Authors and the current dataset script contributor.
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+ #
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+ # Licensed under the Apache License, Version 2.0 (the "License");
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+ # you may not use this file except in compliance with the License.
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+ # You may obtain a copy of the License at
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+ #
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+ # http://www.apache.org/licenses/LICENSE-2.0
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+ #
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+ # Unless required by applicable law or agreed to in writing, software
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+ # distributed under the License is distributed on an "AS IS" BASIS,
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+ # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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+ # See the License for the specific language governing permissions and
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+ # limitations under the License.
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+ """The Microsoft Cats vs. Dogs dataset"""
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+
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+ from pathlib import Path
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+ from typing import List
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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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+ logger = datasets.logging.get_logger(__name__)
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+
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+ _URL = "https://download.microsoft.com/download/3/E/1/3E1C3F21-ECDB-4869-8368-6DEBA77B919F/kagglecatsanddogs_3367a.zip"
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+
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+ _HOMEPAGE = "https://www.microsoft.com/en-us/download/details.aspx?id=54765"
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+
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+ _DESCRIPTION = "A large set of images of cats and dogs. There are 1738 corrupted images that are dropped."
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+
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+ _CITATION = """\
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+ @Inproceedings (Conference){asirra-a-captcha-that-exploits-interest-aligned-manual-image-categorization,
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+ author = {Elson, Jeremy and Douceur, John (JD) and Howell, Jon and Saul, Jared},
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+ title = {Asirra: A CAPTCHA that Exploits Interest-Aligned Manual Image Categorization},
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+ booktitle = {Proceedings of 14th ACM Conference on Computer and Communications Security (CCS)},
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+ year = {2007},
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+ month = {October},
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+ publisher = {Association for Computing Machinery, Inc.},
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+ url = {https://www.microsoft.com/en-us/research/publication/asirra-a-captcha-that-exploits-interest-aligned-manual-image-categorization/},
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+ edition = {Proceedings of 14th ACM Conference on Computer and Communications Security (CCS)},
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+ }
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+ """
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+
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+
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+ class CatsVsDogs(datasets.GeneratorBasedBuilder):
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+ def _info(self):
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+ return datasets.DatasetInfo(
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+ description=_DESCRIPTION,
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+ features=datasets.Features(
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+ {
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+ "image_file_path": datasets.Value("string"),
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+ "labels": datasets.features.ClassLabel(names=["cat", "dog"]),
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+ }
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+ ),
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+ supervised_keys=("image_file_path", "labels"),
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+ task_templates=[
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+ ImageClassification(
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+ image_file_path_column="image_file_path", label_column="labels", labels=["cat", "dog"]
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+ )
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+ ],
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+ homepage=_HOMEPAGE,
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+ citation=_CITATION,
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+ )
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+
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+ def _split_generators(self, dl_manager: datasets.DownloadManager) -> List[datasets.SplitGenerator]:
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+ images_path = Path(dl_manager.download_and_extract(_URL)) / "PetImages"
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+ return [
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+ datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"images_path": images_path}),
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+ ]
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+
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+ def _generate_examples(self, images_path):
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+ logger.info("generating examples from = %s", images_path)
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+ for i, filepath in enumerate(images_path.glob("**/*.jpg")):
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+ with filepath.open("rb") as f:
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+ if b"JFIF" in f.peek(10):
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+ yield str(i), {
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+ "image_file_path": str(filepath),
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+ "labels": filepath.parent.name.lower(),
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+ }
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+ continue
dataset_infos.json ADDED
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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}}
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