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@@ -32,80 +32,90 @@ This dataset contains the 20 trending repositories of each type: models, dataset
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  ### Languages
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- [More Information Needed]
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  ## Dataset Structure
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  ### Data Instances
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- [More Information Needed]
 
 
 
 
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  ### Data Fields
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- [More Information Needed]
 
 
 
 
 
 
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  ### Data Splits
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- [More Information Needed]
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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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- [More Information Needed]
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  ### Contributions
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- [More Information Needed]
 
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  ### Languages
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+ Not relevant.
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  ## Dataset Structure
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  ### Data Instances
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+ The dataset contains three configurations:
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+
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+ **models**: the history of trending models on Hugging Face
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+ **datasets**: the history of trending datasets on Hugging Face
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+ **spaces**: the history of trending spaces on Hugging Face
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  ### Data Fields
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+ - date (string): the date of the lookup to the trending repositories
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+ - author (string): id of the repository owner. It can be null.
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+ - id (string): id of the repository
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+ - rank (int64): rank in the trending repositories of its kind (model, dataset, or space). Starts at 1.
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+ - recent_likes (int64): number of likes received lately (last week)
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+ - likes (int64): total number of likes
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+ - month_downloads (int64): number of downloads in the last month
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  ### Data Splits
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+ Each configuration only has one split: `train` that contains all the rows.
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  ## Dataset Creation
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  ### Curation Rationale
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+ The dataset is updated daily through a cron job that calls the `https://huggingface.co/api/trending?type=${repoType}&limit=20` endpoint for each repository type (model, dataset, space). The script runs in an [Observable](https://observablehq.com/@huggingface) notebook, and the files are uploaded using the [huggingface.js](https://github.com/huggingface/huggingface.js) library.
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  ### Source Data
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  #### Initial Data Collection and Normalization
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+ Not relevant.
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  #### Who are the source language producers?
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+ Not relevant.
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  ### Annotations
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  #### Annotation process
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+ Not relevant.
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  #### Who are the annotators?
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+ Not relevant.
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  ### Personal and Sensitive Information
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+ Only public repositories are included in the trending repositories.
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  ## Considerations for Using the Data
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  ### Social Impact of Dataset
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+ Not relevant.
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  ### Discussion of Biases
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+ The trending repositories reflect the likes given by Hugging Face users in the last week. Any bias that applies to the users can be reflected in this dataset. As a vanity metric, some users might also be tempted to generate fake likes.
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  ### Other Known Limitations
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+ Not relevant.
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  ## Additional Information
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  ### Dataset Curators
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+ Sylvain Lesage, Hugging Face
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  ### Licensing Information
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+ Apache License 2.0
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  ### Citation Information
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+ Not relevant.
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  ### Contributions
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+ Not relevant.