Datasets:
frgfm
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docs: Updated README
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- imagewoof.py +2 -2
README.md
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paperswithcode_id: imagewoof
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---
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# Dataset Card for
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## Table of Contents
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- [Table of Contents](#table-of-contents)
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### Dataset Summary
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A smaller subset of 10 classes from [Imagenet](https://huggingface.co/datasets/imagenet-1k#dataset-summary) that aren't so easy to classify, since they're all dog breeds.
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### Supported Tasks and Leaderboards
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paperswithcode_id: imagewoof
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# Dataset Card for Imagewoof
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## Table of Contents
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- [Table of Contents](#table-of-contents)
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### Dataset Summary
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A smaller subset of 10 classes from [Imagenet](https://huggingface.co/datasets/imagenet-1k#dataset-summary) that aren't so easy to classify, since they're all dog breeds.
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This dataset was created by [Jeremy Howard](https://twitter.com/jeremyphoward), and this repository is only there to share his work on this platform. The repository owner takes no credit of any kind in the creation, curation or packaging of the dataset.
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### Supported Tasks and Leaderboards
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imagewoof.py
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class ImagewoofConfig(datasets.BuilderConfig):
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"""BuilderConfig for
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def __init__(self, data_url, metadata_urls, **kwargs):
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"""BuilderConfig for
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Args:
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data_url: `string`, url to download the zip file from.
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matadata_urls: dictionary with keys 'train' and 'validation' containing the archive metadata URLs
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class ImagewoofConfig(datasets.BuilderConfig):
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"""BuilderConfig for Imagewoof."""
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def __init__(self, data_url, metadata_urls, **kwargs):
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"""BuilderConfig for Imagewoof.
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Args:
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data_url: `string`, url to download the zip file from.
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matadata_urls: dictionary with keys 'train' and 'validation' containing the archive metadata URLs
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