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@@ -58,8 +58,7 @@ The `Librarian Bots` organization is an effort by Hugging Face's [Machine Learni
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  - [Model Cards with metadata](https://huggingface.co/datasets/librarian-bots/model_cards_with_metadata): a dataset containing model cards for models hosted on the Hugging Face hub with first commit information for each model. Model cards are intended to help communicate the strengths and weaknesses of machine learning models. Whilst these model cards are primarily intended to be read by a human they are themselves also interesting corpus that can be used to explore models hosted on the Hub in various ways.
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- - [Dataset Cards With Metadata](https://huggingface.co/datasets/librarian-bots/dataset_cards_with_metadata
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- - ): a dataset containing dataset cards for datasets hosted on the Hugging Face hub with first commit information for each dataset. Dataset cards are intended to help communicate the strengths and weaknesses of machine learning datasets. Whilst these dataset cards are primarily intended to be read by a human they are themselves also interesting corpus that can be used to explore datasets hosted on the Hub in various ways.
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  </details>
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  - [Model Cards with metadata](https://huggingface.co/datasets/librarian-bots/model_cards_with_metadata): a dataset containing model cards for models hosted on the Hugging Face hub with first commit information for each model. Model cards are intended to help communicate the strengths and weaknesses of machine learning models. Whilst these model cards are primarily intended to be read by a human they are themselves also interesting corpus that can be used to explore models hosted on the Hub in various ways.
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+ - [Dataset Cards With Metadata](https://huggingface.co/datasets/librarian-bots/dataset_cards_with_metadata): a dataset containing dataset cards for datasets hosted on the Hugging Face hub with first commit information for each dataset. Dataset cards are intended to help communicate the strengths and weaknesses of machine learning datasets. Whilst these dataset cards are primarily intended to be read by a human they are themselves also interesting corpus that can be used to explore datasets hosted on the Hub in various ways.
 
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  </details>
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