README.md

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title: README
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<h1 style="text-align: center;"> Hugging Face Librarian Bots</h1>


<p style="text-align: center;">&#x2728; <em>Curating the Hugging Face Hub one PR at a time.</em> &#x2728;</p>

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  <img src="https://huggingface.co/spaces/librarian-bots/README/resolve/main/image.png" alt="A stable diffusion generated image of a bookshelf" style="display: block; margin: auto;">
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The Hugging Face Hub is the primary place for sharing machine learning models, datasets, and demos. It currently holds over 200,000 models, 40,000 datasets, and 100,000 machine learning demos. 

The `Librarian Bots` organization is an effort by Hugging Face's [Machine Learning Librarian](https://huggingface.co/davanstrien) to use machine learning to enhance metadata and documentation for material shared on the Hub with the ultimate goal of making it easier for people (and bots!) to find what they are looking for on the Hub. This organization is used to share datasets, models, and Spaces which help achieve this goal. 

## &#x1F47E; Spaces

- [MetaRefine](https://huggingface.co/spaces/librarian-bots/MetaRefine): refine Hub search results by metadata quality and model card length. 
- [metadata explorer](https://huggingface.co/spaces/librarian-bots/metadata_explorer): a space for exploring high-level information about the metadata associated with models hosted on the Hugging Face Hub. 
 
## &#x1F4BD; Datasets 

- [Model Cards with first commit information](https://huggingface.co/datasets/librarian-bots/card_with_first_commit): 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 strength 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 different ways.

## &#x1F916; Models 

- [BERTopic model card bias topic model](https://huggingface.co/librarian-bots/BERTopic_model_card_bias): a BERTopic model trained on the bias section of model cards hosted on the Hub. The goal of this model is to explore which topics are discussed in the bias section of model cards. Potentially in the future models such as this could also be used to detect 'drift' in the kinds of bias being discussed in model cards hosted on the Hub.


# Getting in touch 

If you want to collaborate on improving metadata on the Hugging Face Hub or have ideas for other related projects, reach out to [Daniel](https://huggingface.co/davanstrien) on Twitter (vanstriendaniel) or via email (Daniel (at) our website).