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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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language: |
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- en |
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license: |
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- unknown |
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multilinguality: |
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- monolingual |
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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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- image-classification |
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task_ids: [] |
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pretty_name: Cats and Dogs |
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--- |
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# Dataset Card for Cats Vs. Dogs |
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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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## Dataset Description |
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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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### Dataset Summary |
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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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### Supported Tasks and Leaderboards |
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- image-classification |
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### Languages |
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English |
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## Dataset Structure |
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### Data Instances |
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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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'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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### Data Fields |
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The data instances have the following fields: |
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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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### Data Splits |
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| name |train| |
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|----------|----:| |
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|cats_and_dogs|23410| |
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## Dataset Creation |
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### Curation Rationale |
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[More Information Needed] |
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### Source Data |
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#### Initial Data Collection and Normalization |
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[More Information Needed] |
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#### Who are the source language producers? |
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[More Information Needed] |
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### Annotations |
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#### Annotation process |
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[More Information Needed] |
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#### Who are the annotators? |
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[More Information Needed] |
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### Personal and Sensitive Information |
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[More Information Needed] |
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## Considerations for Using the Data |
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### Social Impact of Dataset |
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[More Information Needed] |
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### Discussion of Biases |
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[More Information Needed] |
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### Other Known Limitations |
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[More Information Needed] |
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## Additional Information |
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### Dataset Curators |
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[More Information Needed] |
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### Licensing Information |
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[More Information Needed] |
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### Citation Information |
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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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### Contributions |
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Thanks to [@nateraw](https://github.com/nateraw) for adding this dataset. |
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